diff --git a/CHANGELOG b/CHANGELOG index e8d6be0ba7ccbb..3e1fda151b3616 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -1,3 +1,20 @@ +======= +6.2.0 +======= +--------------------------- +New Features & Enhancements +--------------------------- + +* [SPARKNLP-1288] AutoGGUF close model #14671 +* [SPARKNLP-1283] Add remove thinking flag #14672 +* [SPARKNLP-1293] Enhancements EntityRuler and DocumentNormalizer #14674 +* [SPARKNLP-1299] Add Hierarchical Element Identification to HTMLReader #14675 + +--------- +Bug Fixes +--------- +* [SPARKNLP-1300] RobertaEmbeddings: changing token sequence in warmup test #14677 + ======= 6.1.5 ======= diff --git a/README.md b/README.md index 22ef0f4f0d4844..2a54df6aa8a31d 100644 --- a/README.md +++ b/README.md @@ -63,7 +63,7 @@ $ java -version $ conda create -n sparknlp python=3.7 -y $ conda activate sparknlp # spark-nlp by default is based on pyspark 3.x -$ pip install spark-nlp==6.1.5 pyspark==3.3.1 +$ pip install spark-nlp==6.2.0 pyspark==3.3.1 ``` In Python console or Jupyter `Python3` kernel: @@ -129,7 +129,7 @@ For a quick example of using pipelines and models take a look at our official [d ### Apache Spark Support -Spark NLP *6.1.5* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x +Spark NLP *6.2.0* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x | Spark NLP | Apache Spark 3.5.x | Apache Spark 3.4.x | Apache Spark 3.3.x | Apache Spark 3.2.x | Apache Spark 3.1.x | Apache Spark 3.0.x | Apache Spark 2.4.x | Apache Spark 2.3.x | |-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------| @@ -159,7 +159,7 @@ Find out more about 4.x `SparkNLP` versions in our official [documentation](http ### Databricks Support -Spark NLP 6.1.5 has been tested and is compatible with the following runtimes: +Spark NLP 6.2.0 has been tested and is compatible with the following runtimes: | **CPU** | **GPU** | |--------------------|--------------------| @@ -177,7 +177,7 @@ We are compatible with older runtimes. For a full list check databricks support ### EMR Support -Spark NLP 6.1.5 has been tested and is compatible with the following EMR releases: +Spark NLP 6.2.0 has been tested and is compatible with the following EMR releases: | **EMR Release** | |--------------------| @@ -267,7 +267,7 @@ Please check [these instructions](https://sparknlp.org/docs/en/install#s3-integr Need more **examples**? Check out our dedicated [Spark NLP Examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples) repository to showcase all Spark NLP use cases! -Also, don't forget to check [Spark NLP in Action](https://sparknlp.org/demo) built by Streamlit. +Also, don't forget to check [Spark NLP in Action](https://sparknlp.org/demos) built by Streamlit. #### All examples: [spark-nlp/examples](https://github.com/JohnSnowLabs/spark-nlp/tree/master/examples) diff --git a/build.sbt b/build.sbt index 9d52b973822792..7335b726e1e1d7 100644 --- a/build.sbt +++ b/build.sbt @@ -6,7 +6,7 @@ name := getPackageName(is_silicon, is_gpu, is_aarch64) organization := "com.johnsnowlabs.nlp" -version := "6.1.5" +version := "6.2.0" (ThisBuild / scalaVersion) := scalaVer diff --git a/conda/meta.yaml b/conda/meta.yaml index 1d922001a8fb0b..69925534f92567 100644 --- a/conda/meta.yaml +++ b/conda/meta.yaml @@ -1,5 +1,5 @@ {% set name = "spark-nlp" %} -{% set version = "6.1.5" %} +{% set version = "6.2.0" %} package: name: {{ name|lower }} @@ -7,7 +7,7 @@ package: source: url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark_nlp-{{ version }}.tar.gz - sha256: 834e5b785d6f1c6deb48195d88d11ae45433bb398dc632a63106e08fbe6f9273 + sha256: 7cbeafc7d01afcda6f7dbb76cfb7fd34893fd2c98c4301d4d692a8962cd69f70 build: noarch: python diff --git a/docs/Gemfile b/docs/Gemfile index 8a4e98f169603c..396fb0958d138f 100644 --- a/docs/Gemfile +++ b/docs/Gemfile @@ -1,19 +1,19 @@ source "https://rubygems.org" gem "github-pages", "227" -gem "nokogiri", ">= 1.13.9" + +gem "nokogiri", ">= 1.18.9" gem "elasticsearch", "~> 7.10" gem 'wdm', '~> 0.1.0' -gem "webrick" +gem "webrick", ">= 1.8.2" gem "jekyll", "~> 3.9" gem "aws-sdk-s3", "~>1" - group "jekyll-plugins" do gem "jekyll-incremental", "0.1.0", path: "_plugins/jekyll-incremental" end diff --git a/docs/Gemfile.lock b/docs/Gemfile.lock index 02bbee56ff83ba..7a7cd4bd0cc67b 100644 --- a/docs/Gemfile.lock +++ b/docs/Gemfile.lock @@ -13,78 +13,65 @@ GEM minitest (~> 5.1) tzinfo (~> 1.1) zeitwerk (~> 2.2, >= 2.2.2) - addressable (2.8.1) - public_suffix (>= 2.0.2, < 6.0) + addressable (2.8.7) + public_suffix (>= 2.0.2, < 7.0) aws-eventstream (1.4.0) - aws-partitions (1.1126.0) - aws-sdk-core (3.226.2) + aws-partitions (1.1172.0) + aws-sdk-core (3.233.0) aws-eventstream (~> 1, >= 1.3.0) aws-partitions (~> 1, >= 1.992.0) aws-sigv4 (~> 1.9) base64 + bigdecimal jmespath (~> 1, >= 1.6.1) logger - aws-sdk-kms (1.106.0) - aws-sdk-core (~> 3, >= 3.225.0) + aws-sdk-kms (1.113.0) + aws-sdk-core (~> 3, >= 3.231.0) aws-sigv4 (~> 1.5) - aws-sdk-s3 (1.192.0) - aws-sdk-core (~> 3, >= 3.225.0) + aws-sdk-s3 (1.199.1) + aws-sdk-core (~> 3, >= 3.231.0) aws-sdk-kms (~> 1) aws-sigv4 (~> 1.5) aws-sigv4 (1.12.1) aws-eventstream (~> 1, >= 1.0.2) base64 (0.3.0) + bigdecimal (3.3.1) coffee-script (2.4.1) coffee-script-source execjs coffee-script-source (1.11.1) colorator (1.1.0) - commonmarker (0.23.8) - concurrent-ruby (1.2.2) - dnsruby (1.61.9) - simpleidn (~> 0.1) - elasticsearch (7.17.7) - elasticsearch-api (= 7.17.7) - elasticsearch-transport (= 7.17.7) - elasticsearch-api (7.17.7) + commonmarker (0.23.12) + concurrent-ruby (1.3.5) + dnsruby (1.73.0) + base64 (>= 0.2) + logger (~> 1.6) + simpleidn (~> 0.2.1) + elasticsearch (7.17.11) + elasticsearch-api (= 7.17.11) + elasticsearch-transport (= 7.17.11) + elasticsearch-api (7.17.11) multi_json - elasticsearch-transport (7.17.7) - faraday (~> 1) + elasticsearch-transport (7.17.11) + base64 + faraday (>= 1, < 3) multi_json em-websocket (0.5.3) eventmachine (>= 0.12.9) http_parser.rb (~> 0) - ethon (0.16.0) + ethon (0.17.0) ffi (>= 1.15.0) eventmachine (1.2.7) eventmachine (1.2.7-x64-mingw32) - execjs (2.8.1) - faraday (1.10.3) - faraday-em_http (~> 1.0) - faraday-em_synchrony (~> 1.0) - faraday-excon (~> 1.1) - faraday-httpclient (~> 1.0) - faraday-multipart (~> 1.0) - faraday-net_http (~> 1.0) - faraday-net_http_persistent (~> 1.0) - faraday-patron (~> 1.0) - faraday-rack (~> 1.0) - faraday-retry (~> 1.0) - ruby2_keywords (>= 0.0.4) - faraday-em_http (1.0.0) - faraday-em_synchrony (1.0.0) - faraday-excon (1.1.0) - faraday-httpclient (1.0.1) - faraday-multipart (1.0.4) - multipart-post (~> 2) - faraday-net_http (1.0.1) - faraday-net_http_persistent (1.2.0) - faraday-patron (1.0.0) - faraday-rack (1.0.0) - faraday-retry (1.0.3) - ffi (1.15.5) - ffi (1.15.5-x64-mingw-ucrt) - ffi (1.15.5-x64-mingw32) + execjs (2.10.0) + faraday (2.14.0) + faraday-net_http (>= 2.0, < 3.5) + json + logger + faraday-net_http (3.4.1) + net-http (>= 0.5.0) + ffi (1.17.2) + ffi (1.17.2-arm64-darwin) forwardable-extended (2.6.0) gemoji (3.0.1) github-pages (227) @@ -253,26 +240,36 @@ GEM html-pipeline (~> 2.2) jekyll (>= 3.0, < 5.0) jmespath (1.6.2) + json (2.15.1) kramdown (2.3.2) rexml kramdown-parser-gfm (1.1.0) kramdown (~> 2.0) liquid (4.0.3) - listen (3.8.0) + listen (3.9.0) rb-fsevent (~> 0.10, >= 0.10.3) rb-inotify (~> 0.9, >= 0.9.10) logger (1.7.0) mercenary (0.3.6) - mini_portile2 (2.8.1) + mini_portile2 (2.8.9) minima (2.5.1) jekyll (>= 3.5, < 5.0) jekyll-feed (~> 0.9) jekyll-seo-tag (~> 2.1) - minitest (5.18.0) - multi_json (1.15.0) - multipart-post (2.3.0) - nokogiri (1.14.2) - mini_portile2 (~> 2.8.0) + minitest (5.26.0) + multi_json (1.17.0) + net-http (0.6.0) + uri + nokogiri (1.18.10) + mini_portile2 (~> 2.8.2) + racc (~> 1.4) + nokogiri (1.18.10-arm64-darwin) + racc (~> 1.4) + nokogiri (1.18.10-x64-mingw-ucrt) + racc (~> 1.4) + nokogiri (1.18.10-x86_64-darwin) + racc (~> 1.4) + nokogiri (1.18.10-x86_64-linux-gnu) racc (~> 1.4) octokit (4.25.1) faraday (>= 1, < 3) @@ -280,14 +277,13 @@ GEM pathutil (0.16.2) forwardable-extended (~> 2.6) public_suffix (4.0.7) - racc (1.6.2) + racc (1.8.1) rb-fsevent (0.11.2) - rb-inotify (0.10.1) + rb-inotify (0.11.1) ffi (~> 1.0) - rexml (3.2.5) + rexml (3.4.4) rouge (3.26.0) - ruby2_keywords (0.0.5) - rubyzip (2.3.2) + rubyzip (2.4.1) safe_yaml (1.0.5) sass (3.7.4) sass-listen (~> 4.0.0) @@ -297,24 +293,22 @@ GEM sawyer (0.9.2) addressable (>= 2.3.5) faraday (>= 0.17.3, < 3) - simpleidn (0.2.1) - unf (~> 0.1.4) + simpleidn (0.2.3) terminal-table (1.8.0) unicode-display_width (~> 1.1, >= 1.1.1) thread_safe (0.3.6) - typhoeus (1.4.0) + typhoeus (1.4.1) ethon (>= 0.9.0) tzinfo (1.2.11) thread_safe (~> 0.1) - unf (0.1.4) - unf_ext - unf_ext (0.0.8.2) unicode-display_width (1.8.0) + uri (1.0.4) wdm (0.1.1) - webrick (1.8.1) - zeitwerk (2.6.7) + webrick (1.9.1) + zeitwerk (2.6.18) PLATFORMS + arm64-darwin-24 x64-mingw-ucrt x64-mingw32 x86_64-darwin-21 @@ -327,9 +321,9 @@ DEPENDENCIES github-pages (= 227) jekyll (~> 3.9) jekyll-incremental (= 0.1.0)! - nokogiri (>= 1.13.9) + nokogiri (>= 1.18.9) wdm (~> 0.1.0) - webrick + webrick (>= 1.8.2) BUNDLED WITH - 2.3.24 + 2.3.26 diff --git a/docs/_config.yml b/docs/_config.yml index f0bd2aed2d53f8..2e95635c1f1a50 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -24,7 +24,7 @@ baseurl : # does not include hostname title : Spark NLP description: > # this means to ignore newlines until "Language & timezone" High Performance NLP with Apache Spark -sparknlp_version: 6.1.5 # Version to be substituted in the documentation +sparknlp_version: 6.2.0 # Version to be substituted in the documentation ## => Language and Timezone @@ -104,7 +104,8 @@ paginate_path: /page:num # don't change this unless for special need ## => Sources ############################## -sources: bootcdn # bootcdn (default), unpkg +# sources: bootcdn # bootcdn (default), unpkg +sources: unpkg # was bootcdn ## => Sharing diff --git a/docs/_config_local.yml b/docs/_config_local.yml index 2f6470c0a5435e..6df7579ee8aab8 100644 --- a/docs/_config_local.yml +++ b/docs/_config_local.yml @@ -27,7 +27,7 @@ baseurl : # does not include hostname title : Spark NLP description: > # this means to ignore newlines until "Language & timezone" High Performance NLP with Apache Spark -sparknlp_version: 6.1.5 # Version to be substituted in the documentation +sparknlp_version: 6.2.0 # Version to be substituted in the documentation ## => Language and Timezone diff --git a/docs/_frontend/package-lock.json b/docs/_frontend/package-lock.json new file mode 100644 index 00000000000000..2e5dd707be8825 --- /dev/null +++ b/docs/_frontend/package-lock.json @@ -0,0 +1,8966 @@ +{ + "name": "frontend", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "frontend", + "version": "1.0.0", + "license": "UNLICENSED", + "dependencies": { + "@floating-ui/react-dom": "^0.7.1", + "@floating-ui/react-dom-interactions": "^0.6.3", + "classnames": "^2.3.1", + "downshift": "^6.1.7", + "http-proxy-middleware": "^2.0.9", + "preact": "^10.7.0", + "react": "17", + "react-dom": "17" + }, + "devDependencies": { + "@babel/core": "^7.17.8", + "@babel/preset-env": "^7.16.11", + "@babel/preset-react": "^7.16.7", + "babel-loader": "^8.2.4", + "css-loader": "^6.7.1", + "css-minimizer-webpack-plugin": "^3.4.1", + "mini-css-extract-plugin": "^2.6.0", + "postcss-loader": "^6.2.1", + "postcss-preset-env": "^7.4.3", + "style-loader": "^3.3.1", + "terser-webpack-plugin": "^5.3.1", + "webpack": "^5.70.0", + "webpack-cli": "^4.9.2", + "webpack-dev-server": "^5.2.2" + } + }, + "node_modules/@ampproject/remapping": { + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.1.2.tgz", + "integrity": "sha512-hoyByceqwKirw7w3Z7gnIIZC3Wx3J484Y3L/cMpXFbr7d9ZQj2mODrirNzcJa+SM3UlpWXYvKV4RlRpFXlWgXg==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "@jridgewell/trace-mapping": "^0.3.0" + }, + "engines": { + "node": ">=6.0.0" + } + }, + "node_modules/@babel/code-frame": { + "version": "7.27.1", + "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz", + "integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-validator-identifier": "^7.27.1", + "js-tokens": "^4.0.0", + "picocolors": "^1.1.1" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/compat-data": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.17.7.tgz", + "integrity": "sha512-p8pdE6j0a29TNGebNm7NzYZWB3xVZJBZ7XGs42uAKzQo8VQ3F0By/cQCtUEABwIqw5zo6WA4NbmxsfzADzMKnQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/core": { + "version": "7.17.8", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.17.8.tgz", + "integrity": "sha512-OdQDV/7cRBtJHLSOBqqbYNkOcydOgnX59TZx4puf41fzcVtN3e/4yqY8lMQsK+5X2lJtAdmA+6OHqsj1hBJ4IQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@ampproject/remapping": "^2.1.0", + "@babel/code-frame": "^7.16.7", + "@babel/generator": "^7.17.7", + "@babel/helper-compilation-targets": "^7.17.7", + "@babel/helper-module-transforms": "^7.17.7", + "@babel/helpers": "^7.17.8", + "@babel/parser": "^7.17.8", + "@babel/template": "^7.16.7", + "@babel/traverse": "^7.17.3", + "@babel/types": "^7.17.0", + "convert-source-map": "^1.7.0", + "debug": "^4.1.0", + "gensync": "^1.0.0-beta.2", + "json5": "^2.1.2", + "semver": "^6.3.0" + }, + "engines": { + "node": ">=6.9.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/babel" + } + }, + "node_modules/@babel/generator": { + "version": "7.28.3", + "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.28.3.tgz", + "integrity": "sha512-3lSpxGgvnmZznmBkCRnVREPUFJv2wrv9iAoFDvADJc0ypmdOxdUtcLeBgBJ6zE0PMeTKnxeQzyk0xTBq4Ep7zw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/parser": "^7.28.3", + "@babel/types": "^7.28.2", + "@jridgewell/gen-mapping": "^0.3.12", + "@jridgewell/trace-mapping": "^0.3.28", + "jsesc": "^3.0.2" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-annotate-as-pure": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.16.7.tgz", + "integrity": "sha512-s6t2w/IPQVTAET1HitoowRGXooX8mCgtuP5195wD/QJPV6wYjpujCGF7JuMODVX2ZAJOf1GT6DT9MHEZvLOFSw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-builder-binary-assignment-operator-visitor": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.16.7.tgz", + "integrity": "sha512-C6FdbRaxYjwVu/geKW4ZeQ0Q31AftgRcdSnZ5/jsH6BzCJbtvXvhpfkbkThYSuutZA7nCXpPR6AD9zd1dprMkA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-explode-assignable-expression": "^7.16.7", + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-compilation-targets": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.17.7.tgz", + "integrity": "sha512-UFzlz2jjd8kroj0hmCFV5zr+tQPi1dpC2cRsDV/3IEW8bJfCPrPpmcSN6ZS8RqIq4LXcmpipCQFPddyFA5Yc7w==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/compat-data": "^7.17.7", + "@babel/helper-validator-option": "^7.16.7", + "browserslist": "^4.17.5", + "semver": "^6.3.0" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0" + } + }, + "node_modules/@babel/helper-create-class-features-plugin": { + "version": "7.17.6", + "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.17.6.tgz", + "integrity": "sha512-SogLLSxXm2OkBbSsHZMM4tUi8fUzjs63AT/d0YQIzr6GSd8Hxsbk2KYDX0k0DweAzGMj/YWeiCsorIdtdcW8Eg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "@babel/helper-environment-visitor": "^7.16.7", + "@babel/helper-function-name": "^7.16.7", + "@babel/helper-member-expression-to-functions": "^7.16.7", + "@babel/helper-optimise-call-expression": "^7.16.7", + "@babel/helper-replace-supers": "^7.16.7", + "@babel/helper-split-export-declaration": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0" + } + }, + "node_modules/@babel/helper-create-regexp-features-plugin": { + "version": "7.17.0", + "resolved": "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.17.0.tgz", + "integrity": "sha512-awO2So99wG6KnlE+TPs6rn83gCz5WlEePJDTnLEqbchMVrBeAujURVphRdigsk094VhvZehFoNOihSlcBjwsXA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "regexpu-core": "^5.0.1" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0" + } + }, + "node_modules/@babel/helper-define-polyfill-provider": { + "version": "0.3.1", + "resolved": "https://registry.npmjs.org/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.3.1.tgz", + "integrity": "sha512-J9hGMpJQmtWmj46B3kBHmL38UhJGhYX7eqkcq+2gsstyYt341HmPeWspihX43yVRA0mS+8GGk2Gckc7bY/HCmA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-compilation-targets": "^7.13.0", + "@babel/helper-module-imports": "^7.12.13", + "@babel/helper-plugin-utils": "^7.13.0", + "@babel/traverse": "^7.13.0", + "debug": "^4.1.1", + "lodash.debounce": "^4.0.8", + "resolve": "^1.14.2", + "semver": "^6.1.2" + }, + "peerDependencies": { + "@babel/core": "^7.4.0-0" + } + }, + "node_modules/@babel/helper-environment-visitor": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.16.7.tgz", + "integrity": "sha512-SLLb0AAn6PkUeAfKJCCOl9e1R53pQlGAfc4y4XuMRZfqeMYLE0dM1LMhqbGAlGQY0lfw5/ohoYWAe9V1yibRag==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-explode-assignable-expression": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-explode-assignable-expression/-/helper-explode-assignable-expression-7.16.7.tgz", + "integrity": "sha512-KyUenhWMC8VrxzkGP0Jizjo4/Zx+1nNZhgocs+gLzyZyB8SHidhoq9KK/8Ato4anhwsivfkBLftky7gvzbZMtQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-function-name": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.16.7.tgz", + "integrity": "sha512-QfDfEnIUyyBSR3HtrtGECuZ6DAyCkYFp7GHl75vFtTnn6pjKeK0T1DB5lLkFvBea8MdaiUABx3osbgLyInoejA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-get-function-arity": "^7.16.7", + "@babel/template": "^7.16.7", + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-get-function-arity": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-get-function-arity/-/helper-get-function-arity-7.16.7.tgz", + "integrity": "sha512-flc+RLSOBXzNzVhcLu6ujeHUrD6tANAOU5ojrRx/as+tbzf8+stUCj7+IfRRoAbEZqj/ahXEMsjhOhgeZsrnTw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-globals": { + "version": "7.28.0", + "resolved": "https://registry.npmjs.org/@babel/helper-globals/-/helper-globals-7.28.0.tgz", + "integrity": "sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-hoist-variables": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.16.7.tgz", + "integrity": "sha512-m04d/0Op34H5v7pbZw6pSKP7weA6lsMvfiIAMeIvkY/R4xQtBSMFEigu9QTZ2qB/9l22vsxtM8a+Q8CzD255fg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-member-expression-to-functions": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.17.7.tgz", + "integrity": "sha512-thxXgnQ8qQ11W2wVUObIqDL4p148VMxkt5T/qpN5k2fboRyzFGFmKsTGViquyM5QHKUy48OZoca8kw4ajaDPyw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.17.0" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-module-imports": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.16.7.tgz", + "integrity": "sha512-LVtS6TqjJHFc+nYeITRo6VLXve70xmq7wPhWTqDJusJEgGmkAACWwMiTNrvfoQo6hEhFwAIixNkvB0jPXDL8Wg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-module-transforms": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.17.7.tgz", + "integrity": "sha512-VmZD99F3gNTYB7fJRDTi+u6l/zxY0BE6OIxPSU7a50s6ZUQkHwSDmV92FfM+oCG0pZRVojGYhkR8I0OGeCVREw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-environment-visitor": "^7.16.7", + "@babel/helper-module-imports": "^7.16.7", + "@babel/helper-simple-access": "^7.17.7", + "@babel/helper-split-export-declaration": "^7.16.7", + "@babel/helper-validator-identifier": "^7.16.7", + "@babel/template": "^7.16.7", + "@babel/traverse": "^7.17.3", + "@babel/types": "^7.17.0" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-optimise-call-expression": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.16.7.tgz", + "integrity": "sha512-EtgBhg7rd/JcnpZFXpBy0ze1YRfdm7BnBX4uKMBd3ixa3RGAE002JZB66FJyNH7g0F38U05pXmA5P8cBh7z+1w==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-plugin-utils": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.16.7.tgz", + "integrity": "sha512-Qg3Nk7ZxpgMrsox6HreY1ZNKdBq7K72tDSliA6dCl5f007jR4ne8iD5UzuNnCJH2xBf2BEEVGr+/OL6Gdp7RxA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-remap-async-to-generator": { + "version": "7.16.8", + "resolved": "https://registry.npmjs.org/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.16.8.tgz", + "integrity": "sha512-fm0gH7Flb8H51LqJHy3HJ3wnE1+qtYR2A99K06ahwrawLdOFsCEWjZOrYricXJHoPSudNKxrMBUPEIPxiIIvBw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "@babel/helper-wrap-function": "^7.16.8", + "@babel/types": "^7.16.8" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-replace-supers": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-replace-supers/-/helper-replace-supers-7.16.7.tgz", + "integrity": "sha512-y9vsWilTNaVnVh6xiJfABzsNpgDPKev9HnAgz6Gb1p6UUwf9NepdlsV7VXGCftJM+jqD5f7JIEubcpLjZj5dBw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-environment-visitor": "^7.16.7", + "@babel/helper-member-expression-to-functions": "^7.16.7", + "@babel/helper-optimise-call-expression": "^7.16.7", + "@babel/traverse": "^7.16.7", + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-simple-access": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.17.7.tgz", + "integrity": "sha512-txyMCGroZ96i+Pxr3Je3lzEJjqwaRC9buMUgtomcrLe5Nd0+fk1h0LLA+ixUF5OW7AhHuQ7Es1WcQJZmZsz2XA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.17.0" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-skip-transparent-expression-wrappers": { + "version": "7.16.0", + "resolved": "https://registry.npmjs.org/@babel/helper-skip-transparent-expression-wrappers/-/helper-skip-transparent-expression-wrappers-7.16.0.tgz", + "integrity": "sha512-+il1gTy0oHwUsBQZyJvukbB4vPMdcYBrFHa0Uc4AizLxbq6BOYC51Rv4tWocX9BLBDLZ4kc6qUFpQ6HRgL+3zw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.0" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-split-export-declaration": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.16.7.tgz", + "integrity": "sha512-xbWoy/PFoxSWazIToT9Sif+jJTlrMcndIsaOKvTA6u7QEo7ilkRZpjew18/W3c7nm8fXdUDXh02VXTbZ0pGDNw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-string-parser": { + "version": "7.27.1", + "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz", + "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-validator-identifier": { + "version": "7.27.1", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz", + "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-validator-option": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.16.7.tgz", + "integrity": "sha512-TRtenOuRUVo9oIQGPC5G9DgK4743cdxvtOw0weQNpZXaS16SCBi5MNjZF8vba3ETURjZpTbVn7Vvcf2eAwFozQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helper-wrap-function": { + "version": "7.16.8", + "resolved": "https://registry.npmjs.org/@babel/helper-wrap-function/-/helper-wrap-function-7.16.8.tgz", + "integrity": "sha512-8RpyRVIAW1RcDDGTA+GpPAwV22wXCfKOoM9bet6TLkGIFTkRQSkH1nMQ5Yet4MpoXe1ZwHPVtNasc2w0uZMqnw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-function-name": "^7.16.7", + "@babel/template": "^7.16.7", + "@babel/traverse": "^7.16.8", + "@babel/types": "^7.16.8" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/helpers": { + "version": "7.28.4", + "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.28.4.tgz", + "integrity": "sha512-HFN59MmQXGHVyYadKLVumYsA9dBFun/ldYxipEjzA4196jpLZd8UjEEBLkbEkvfYreDqJhZxYAWFPtrfhNpj4w==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/template": "^7.27.2", + "@babel/types": "^7.28.4" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/parser": { + "version": "7.28.4", + "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.28.4.tgz", + "integrity": "sha512-yZbBqeM6TkpP9du/I2pUZnJsRMGGvOuIrhjzC1AwHwW+6he4mni6Bp/m8ijn0iOuZuPI2BfkCoSRunpyjnrQKg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/types": "^7.28.4" + }, + "bin": { + "parser": "bin/babel-parser.js" + }, + "engines": { + "node": ">=6.0.0" + } + }, + "node_modules/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.16.7.tgz", + "integrity": "sha512-anv/DObl7waiGEnC24O9zqL0pSuI9hljihqiDuFHC8d7/bjr/4RLGPWuc8rYOff/QPzbEPSkzG8wGG9aDuhHRg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0" + } + }, + "node_modules/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining/-/plugin-bugfix-v8-spread-parameters-in-optional-chaining-7.16.7.tgz", + "integrity": "sha512-di8vUHRdf+4aJ7ltXhaDbPoszdkh59AQtJM5soLsuHpQJdFQZOA4uGj0V2u/CZ8bJ/u8ULDL5yq6FO/bCXnKHw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-skip-transparent-expression-wrappers": "^7.16.0", + "@babel/plugin-proposal-optional-chaining": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.13.0" + } + }, + "node_modules/@babel/plugin-proposal-async-generator-functions": { + "version": "7.16.8", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-async-generator-functions/-/plugin-proposal-async-generator-functions-7.16.8.tgz", + "integrity": "sha512-71YHIvMuiuqWJQkebWJtdhQTfd4Q4mF76q2IX37uZPkG9+olBxsX+rH1vkhFto4UeJZ9dPY2s+mDvhDm1u2BGQ==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-async-generator-functions instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-remap-async-to-generator": "^7.16.8", + "@babel/plugin-syntax-async-generators": "^7.8.4" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-class-properties": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-class-properties/-/plugin-proposal-class-properties-7.16.7.tgz", + "integrity": "sha512-IobU0Xme31ewjYOShSIqd/ZGM/r/cuOz2z0MDbNrhF5FW+ZVgi0f2lyeoj9KFPDOAqsYxmLWZte1WOwlvY9aww==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-class-properties instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-class-features-plugin": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-class-static-block": { + "version": "7.17.6", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-class-static-block/-/plugin-proposal-class-static-block-7.17.6.tgz", + "integrity": "sha512-X/tididvL2zbs7jZCeeRJ8167U/+Ac135AM6jCAx6gYXDUviZV5Ku9UDvWS2NCuWlFjIRXklYhwo6HhAC7ETnA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-class-static-block instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-class-features-plugin": "^7.17.6", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-class-static-block": "^7.14.5" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.12.0" + } + }, + "node_modules/@babel/plugin-proposal-dynamic-import": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-dynamic-import/-/plugin-proposal-dynamic-import-7.16.7.tgz", + "integrity": "sha512-I8SW9Ho3/8DRSdmDdH3gORdyUuYnk1m4cMxUAdu5oy4n3OfN8flDEH+d60iG7dUfi0KkYwSvoalHzzdRzpWHTg==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-dynamic-import instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-dynamic-import": "^7.8.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-export-namespace-from": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-export-namespace-from/-/plugin-proposal-export-namespace-from-7.16.7.tgz", + "integrity": "sha512-ZxdtqDXLRGBL64ocZcs7ovt71L3jhC1RGSyR996svrCi3PYqHNkb3SwPJCs8RIzD86s+WPpt2S73+EHCGO+NUA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-export-namespace-from instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-export-namespace-from": "^7.8.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-json-strings": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-json-strings/-/plugin-proposal-json-strings-7.16.7.tgz", + "integrity": "sha512-lNZ3EEggsGY78JavgbHsK9u5P3pQaW7k4axlgFLYkMd7UBsiNahCITShLjNQschPyjtO6dADrL24757IdhBrsQ==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-json-strings instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-json-strings": "^7.8.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-logical-assignment-operators": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-logical-assignment-operators/-/plugin-proposal-logical-assignment-operators-7.16.7.tgz", + "integrity": "sha512-K3XzyZJGQCr00+EtYtrDjmwX7o7PLK6U9bi1nCwkQioRFVUv6dJoxbQjtWVtP+bCPy82bONBKG8NPyQ4+i6yjg==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-logical-assignment-operators instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-nullish-coalescing-operator": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.16.7.tgz", + "integrity": "sha512-aUOrYU3EVtjf62jQrCj63pYZ7k6vns2h/DQvHPWGmsJRYzWXZ6/AsfgpiRy6XiuIDADhJzP2Q9MwSMKauBQ+UQ==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-nullish-coalescing-operator instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-nullish-coalescing-operator": "^7.8.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-numeric-separator": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-numeric-separator/-/plugin-proposal-numeric-separator-7.16.7.tgz", + "integrity": "sha512-vQgPMknOIgiuVqbokToyXbkY/OmmjAzr/0lhSIbG/KmnzXPGwW/AdhdKpi+O4X/VkWiWjnkKOBiqJrTaC98VKw==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-numeric-separator instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-numeric-separator": "^7.10.4" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-object-rest-spread": { + "version": "7.17.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-object-rest-spread/-/plugin-proposal-object-rest-spread-7.17.3.tgz", + "integrity": "sha512-yuL5iQA/TbZn+RGAfxQXfi7CNLmKi1f8zInn4IgobuCWcAb7i+zj4TYzQ9l8cEzVyJ89PDGuqxK1xZpUDISesw==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-object-rest-spread instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/compat-data": "^7.17.0", + "@babel/helper-compilation-targets": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-object-rest-spread": "^7.8.3", + "@babel/plugin-transform-parameters": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-optional-catch-binding": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-optional-catch-binding/-/plugin-proposal-optional-catch-binding-7.16.7.tgz", + "integrity": "sha512-eMOH/L4OvWSZAE1VkHbr1vckLG1WUcHGJSLqqQwl2GaUqG6QjddvrOaTUMNYiv77H5IKPMZ9U9P7EaHwvAShfA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-optional-catch-binding instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-optional-catch-binding": "^7.8.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-optional-chaining": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-optional-chaining/-/plugin-proposal-optional-chaining-7.16.7.tgz", + "integrity": "sha512-eC3xy+ZrUcBtP7x+sq62Q/HYd674pPTb/77XZMb5wbDPGWIdUbSr4Agr052+zaUPSb+gGRnjxXfKFvx5iMJ+DA==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-optional-chaining instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-skip-transparent-expression-wrappers": "^7.16.0", + "@babel/plugin-syntax-optional-chaining": "^7.8.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-private-methods": { + "version": "7.16.11", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-private-methods/-/plugin-proposal-private-methods-7.16.11.tgz", + "integrity": "sha512-F/2uAkPlXDr8+BHpZvo19w3hLFKge+k75XUprE6jaqKxjGkSYcK+4c+bup5PdW/7W/Rpjwql7FTVEDW+fRAQsw==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-private-methods instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-class-features-plugin": "^7.16.10", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-private-property-in-object": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-private-property-in-object/-/plugin-proposal-private-property-in-object-7.16.7.tgz", + "integrity": "sha512-rMQkjcOFbm+ufe3bTZLyOfsOUOxyvLXZJCTARhJr+8UMSoZmqTe1K1BgkFcrW37rAchWg57yI69ORxiWvUINuQ==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-private-property-in-object instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "@babel/helper-create-class-features-plugin": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-private-property-in-object": "^7.14.5" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-proposal-unicode-property-regex": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-proposal-unicode-property-regex/-/plugin-proposal-unicode-property-regex-7.16.7.tgz", + "integrity": "sha512-QRK0YI/40VLhNVGIjRNAAQkEHws0cswSdFFjpFyt943YmJIU1da9uW63Iu6NFV6CxTZW5eTDCrwZUstBWgp/Rg==", + "deprecated": "This proposal has been merged to the ECMAScript standard and thus this plugin is no longer maintained. Please use @babel/plugin-transform-unicode-property-regex instead.", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-regexp-features-plugin": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=4" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-async-generators": { + "version": "7.8.4", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-async-generators/-/plugin-syntax-async-generators-7.8.4.tgz", + "integrity": "sha512-tycmZxkGfZaxhMRbXlPXuVFpdWlXpir2W4AMhSJgRKzk/eDlIXOhb2LHWoLpDF7TEHylV5zNhykX6KAgHJmTNw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-class-properties": { + "version": "7.12.13", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-class-properties/-/plugin-syntax-class-properties-7.12.13.tgz", + "integrity": "sha512-fm4idjKla0YahUNgFNLCB0qySdsoPiZP3iQE3rky0mBUtMZ23yDJ9SJdg6dXTSDnulOVqiF3Hgr9nbXvXTQZYA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.12.13" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-class-static-block": { + "version": "7.14.5", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-class-static-block/-/plugin-syntax-class-static-block-7.14.5.tgz", + "integrity": "sha512-b+YyPmr6ldyNnM6sqYeMWE+bgJcJpO6yS4QD7ymxgH34GBPNDM/THBh8iunyvKIZztiwLH4CJZ0RxTk9emgpjw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.14.5" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-dynamic-import": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-dynamic-import/-/plugin-syntax-dynamic-import-7.8.3.tgz", + "integrity": "sha512-5gdGbFon+PszYzqs83S3E5mpi7/y/8M9eC90MRTZfduQOYW76ig6SOSPNe41IG5LoP3FGBn2N0RjVDSQiS94kQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-export-namespace-from": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-export-namespace-from/-/plugin-syntax-export-namespace-from-7.8.3.tgz", + "integrity": "sha512-MXf5laXo6c1IbEbegDmzGPwGNTsHZmEy6QGznu5Sh2UCWvueywb2ee+CCE4zQiZstxU9BMoQO9i6zUFSY0Kj0Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.3" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-json-strings": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-json-strings/-/plugin-syntax-json-strings-7.8.3.tgz", + "integrity": "sha512-lY6kdGpWHvjoe2vk4WrAapEuBR69EMxZl+RoGRhrFGNYVK8mOPAW8VfbT/ZgrFbXlDNiiaxQnAtgVCZ6jv30EA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-jsx": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.16.7.tgz", + "integrity": "sha512-Esxmk7YjA8QysKeT3VhTXvF6y77f/a91SIs4pWb4H2eWGQkCKFgQaG6hdoEVZtGsrAcb2K5BW66XsOErD4WU3Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-logical-assignment-operators": { + "version": "7.10.4", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-logical-assignment-operators/-/plugin-syntax-logical-assignment-operators-7.10.4.tgz", + "integrity": "sha512-d8waShlpFDinQ5MtvGU9xDAOzKH47+FFoney2baFIoMr952hKOLp1HR7VszoZvOsV/4+RRszNY7D17ba0te0ig==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.10.4" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-nullish-coalescing-operator": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-nullish-coalescing-operator/-/plugin-syntax-nullish-coalescing-operator-7.8.3.tgz", + "integrity": "sha512-aSff4zPII1u2QD7y+F8oDsz19ew4IGEJg9SVW+bqwpwtfFleiQDMdzA/R+UlWDzfnHFCxxleFT0PMIrR36XLNQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-numeric-separator": { + "version": "7.10.4", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-numeric-separator/-/plugin-syntax-numeric-separator-7.10.4.tgz", + "integrity": "sha512-9H6YdfkcK/uOnY/K7/aA2xpzaAgkQn37yzWUMRK7OaPOqOpGS1+n0H5hxT9AUw9EsSjPW8SVyMJwYRtWs3X3ug==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.10.4" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-object-rest-spread": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-object-rest-spread/-/plugin-syntax-object-rest-spread-7.8.3.tgz", + "integrity": "sha512-XoqMijGZb9y3y2XskN+P1wUGiVwWZ5JmoDRwx5+3GmEplNyVM2s2Dg8ILFQm8rWM48orGy5YpI5Bl8U1y7ydlA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-optional-catch-binding": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-optional-catch-binding/-/plugin-syntax-optional-catch-binding-7.8.3.tgz", + "integrity": "sha512-6VPD0Pc1lpTqw0aKoeRTMiB+kWhAoT24PA+ksWSBrFtl5SIRVpZlwN3NNPQjehA2E/91FV3RjLWoVTglWcSV3Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-optional-chaining": { + "version": "7.8.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-optional-chaining/-/plugin-syntax-optional-chaining-7.8.3.tgz", + "integrity": "sha512-KoK9ErH1MBlCPxV0VANkXW2/dw4vlbGDrFgz8bmUsBGYkFRcbRwMh6cIJubdPrkxRwuGdtCk0v/wPTKbQgBjkg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.8.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-private-property-in-object": { + "version": "7.14.5", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-private-property-in-object/-/plugin-syntax-private-property-in-object-7.14.5.tgz", + "integrity": "sha512-0wVnp9dxJ72ZUJDV27ZfbSj6iHLoytYZmh3rFcxNnvsJF3ktkzLDZPy/mA17HGsaQT3/DQsWYX1f1QGWkCoVUg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.14.5" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-syntax-top-level-await": { + "version": "7.14.5", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-top-level-await/-/plugin-syntax-top-level-await-7.14.5.tgz", + "integrity": "sha512-hx++upLv5U1rgYfwe1xBQUhRmU41NEvpUvrp8jkrSCdvGSnM5/qdRMtylJ6PG5OFkBaHkbTAKTnd3/YyESRHFw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.14.5" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-arrow-functions": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.16.7.tgz", + "integrity": "sha512-9ffkFFMbvzTvv+7dTp/66xvZAWASuPD5Tl9LK3Z9vhOmANo6j94rik+5YMBt4CwHVMWLWpMsriIc2zsa3WW3xQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-async-to-generator": { + "version": "7.16.8", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.16.8.tgz", + "integrity": "sha512-MtmUmTJQHCnyJVrScNzNlofQJ3dLFuobYn3mwOTKHnSCMtbNsqvF71GQmJfFjdrXSsAA7iysFmYWw4bXZ20hOg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-module-imports": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-remap-async-to-generator": "^7.16.8" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-block-scoped-functions": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.16.7.tgz", + "integrity": "sha512-JUuzlzmF40Z9cXyytcbZEZKckgrQzChbQJw/5PuEHYeqzCsvebDx0K0jWnIIVcmmDOAVctCgnYs0pMcrYj2zJg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-block-scoping": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.16.7.tgz", + "integrity": "sha512-ObZev2nxVAYA4bhyusELdo9hb3H+A56bxH3FZMbEImZFiEDYVHXQSJ1hQKFlDnlt8G9bBrCZ5ZpURZUrV4G5qQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-classes": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-classes/-/plugin-transform-classes-7.16.7.tgz", + "integrity": "sha512-WY7og38SFAGYRe64BrjKf8OrE6ulEHtr5jEYaZMwox9KebgqPi67Zqz8K53EKk1fFEJgm96r32rkKZ3qA2nCWQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "@babel/helper-environment-visitor": "^7.16.7", + "@babel/helper-function-name": "^7.16.7", + "@babel/helper-optimise-call-expression": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-replace-supers": "^7.16.7", + "@babel/helper-split-export-declaration": "^7.16.7", + "globals": "^11.1.0" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-computed-properties": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.16.7.tgz", + "integrity": "sha512-gN72G9bcmenVILj//sv1zLNaPyYcOzUho2lIJBMh/iakJ9ygCo/hEF9cpGb61SCMEDxbbyBoVQxrt+bWKu5KGw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-destructuring": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.17.7.tgz", + "integrity": "sha512-XVh0r5yq9sLR4vZ6eVZe8FKfIcSgaTBxVBRSYokRj2qksf6QerYnTxz9/GTuKTH/n/HwLP7t6gtlybHetJ/6hQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-dotall-regex": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.16.7.tgz", + "integrity": "sha512-Lyttaao2SjZF6Pf4vk1dVKv8YypMpomAbygW+mU5cYP3S5cWTfCJjG8xV6CFdzGFlfWK81IjL9viiTvpb6G7gQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-regexp-features-plugin": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-duplicate-keys": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.16.7.tgz", + "integrity": "sha512-03DvpbRfvWIXyK0/6QiR1KMTWeT6OcQ7tbhjrXyFS02kjuX/mu5Bvnh5SDSWHxyawit2g5aWhKwI86EE7GUnTw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-exponentiation-operator": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.16.7.tgz", + "integrity": "sha512-8UYLSlyLgRixQvlYH3J2ekXFHDFLQutdy7FfFAMm3CPZ6q9wHCwnUyiXpQCe3gVVnQlHc5nsuiEVziteRNTXEA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-builder-binary-assignment-operator-visitor": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-for-of": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.16.7.tgz", + "integrity": "sha512-/QZm9W92Ptpw7sjI9Nx1mbcsWz33+l8kuMIQnDwgQBG5s3fAfQvkRjQ7NqXhtNcKOnPkdICmUHyCaWW06HCsqg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-function-name": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.16.7.tgz", + "integrity": "sha512-SU/C68YVwTRxqWj5kgsbKINakGag0KTgq9f2iZEXdStoAbOzLHEBRYzImmA6yFo8YZhJVflvXmIHUO7GWHmxxA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-compilation-targets": "^7.16.7", + "@babel/helper-function-name": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-literals": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-literals/-/plugin-transform-literals-7.16.7.tgz", + "integrity": "sha512-6tH8RTpTWI0s2sV6uq3e/C9wPo4PTqqZps4uF0kzQ9/xPLFQtipynvmT1g/dOfEJ+0EQsHhkQ/zyRId8J2b8zQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-member-expression-literals": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.16.7.tgz", + "integrity": "sha512-mBruRMbktKQwbxaJof32LT9KLy2f3gH+27a5XSuXo6h7R3vqltl0PgZ80C8ZMKw98Bf8bqt6BEVi3svOh2PzMw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-modules-amd": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.16.7.tgz", + "integrity": "sha512-KaaEtgBL7FKYwjJ/teH63oAmE3lP34N3kshz8mm4VMAw7U3PxjVwwUmxEFksbgsNUaO3wId9R2AVQYSEGRa2+g==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-module-transforms": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "babel-plugin-dynamic-import-node": "^2.3.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-modules-commonjs": { + "version": "7.17.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.17.7.tgz", + "integrity": "sha512-ITPmR2V7MqioMJyrxUo2onHNC3e+MvfFiFIR0RP21d3PtlVb6sfzoxNKiphSZUOM9hEIdzCcZe83ieX3yoqjUA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-module-transforms": "^7.17.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-simple-access": "^7.17.7", + "babel-plugin-dynamic-import-node": "^2.3.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-modules-systemjs": { + "version": "7.17.8", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.17.8.tgz", + "integrity": "sha512-39reIkMTUVagzgA5x88zDYXPCMT6lcaRKs1+S9K6NKBPErbgO/w/kP8GlNQTC87b412ZTlmNgr3k2JrWgHH+Bw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-hoist-variables": "^7.16.7", + "@babel/helper-module-transforms": "^7.17.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-validator-identifier": "^7.16.7", + "babel-plugin-dynamic-import-node": "^2.3.3" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-modules-umd": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.16.7.tgz", + "integrity": "sha512-EMh7uolsC8O4xhudF2F6wedbSHm1HHZ0C6aJ7K67zcDNidMzVcxWdGr+htW9n21klm+bOn+Rx4CBsAntZd3rEQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-module-transforms": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-named-capturing-groups-regex": { + "version": "7.16.8", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.16.8.tgz", + "integrity": "sha512-j3Jw+n5PvpmhRR+mrgIh04puSANCk/T/UA3m3P1MjJkhlK906+ApHhDIqBQDdOgL/r1UYpz4GNclTXxyZrYGSw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-regexp-features-plugin": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0" + } + }, + "node_modules/@babel/plugin-transform-new-target": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.16.7.tgz", + "integrity": "sha512-xiLDzWNMfKoGOpc6t3U+etCE2yRnn3SM09BXqWPIZOBpL2gvVrBWUKnsJx0K/ADi5F5YC5f8APFfWrz25TdlGg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-object-super": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.16.7.tgz", + "integrity": "sha512-14J1feiQVWaGvRxj2WjyMuXS2jsBkgB3MdSN5HuC2G5nRspa5RK9COcs82Pwy5BuGcjb+fYaUj94mYcOj7rCvw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-replace-supers": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-parameters": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.16.7.tgz", + "integrity": "sha512-AT3MufQ7zZEhU2hwOA11axBnExW0Lszu4RL/tAlUJBuNoRak+wehQW8h6KcXOcgjY42fHtDxswuMhMjFEuv/aw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-property-literals": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.16.7.tgz", + "integrity": "sha512-z4FGr9NMGdoIl1RqavCqGG+ZuYjfZ/hkCIeuH6Do7tXmSm0ls11nYVSJqFEUOSJbDab5wC6lRE/w6YjVcr6Hqw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-react-display-name": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.16.7.tgz", + "integrity": "sha512-qgIg8BcZgd0G/Cz916D5+9kqX0c7nPZyXaP8R2tLNN5tkyIZdG5fEwBrxwplzSnjC1jvQmyMNVwUCZPcbGY7Pg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-react-jsx": { + "version": "7.17.3", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx/-/plugin-transform-react-jsx-7.17.3.tgz", + "integrity": "sha512-9tjBm4O07f7mzKSIlEmPdiE6ub7kfIe6Cd+w+oQebpATfTQMAgW+YOuWxogbKVTulA+MEO7byMeIUtQ1z+z+ZQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "@babel/helper-module-imports": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/plugin-syntax-jsx": "^7.16.7", + "@babel/types": "^7.17.0" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-react-jsx-development": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-development/-/plugin-transform-react-jsx-development-7.16.7.tgz", + "integrity": "sha512-RMvQWvpla+xy6MlBpPlrKZCMRs2AGiHOGHY3xRwl0pEeim348dDyxeH4xBsMPbIMhujeq7ihE702eM2Ew0Wo+A==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/plugin-transform-react-jsx": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-react-pure-annotations": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.16.7.tgz", + "integrity": "sha512-hs71ToC97k3QWxswh2ElzMFABXHvGiJ01IB1TbYQDGeWRKWz/MPUTh5jGExdHvosYKpnJW5Pm3S4+TA3FyX+GA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-annotate-as-pure": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-regenerator": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.16.7.tgz", + "integrity": "sha512-mF7jOgGYCkSJagJ6XCujSQg+6xC1M77/03K2oBmVJWoFGNUtnVJO4WHKJk3dnPC8HCcj4xBQP1Egm8DWh3Pb3Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "regenerator-transform": "^0.14.2" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-reserved-words": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.16.7.tgz", + "integrity": "sha512-KQzzDnZ9hWQBjwi5lpY5v9shmm6IVG0U9pB18zvMu2i4H90xpT4gmqwPYsn8rObiadYe2M0gmgsiOIF5A/2rtg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-shorthand-properties": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.16.7.tgz", + "integrity": "sha512-hah2+FEnoRoATdIb05IOXf+4GzXYTq75TVhIn1PewihbpyrNWUt2JbudKQOETWw6QpLe+AIUpJ5MVLYTQbeeUg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-spread": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-spread/-/plugin-transform-spread-7.16.7.tgz", + "integrity": "sha512-+pjJpgAngb53L0iaA5gU/1MLXJIfXcYepLgXB3esVRf4fqmj8f2cxM3/FKaHsZms08hFQJkFccEWuIpm429TXg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-skip-transparent-expression-wrappers": "^7.16.0" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-sticky-regex": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.16.7.tgz", + "integrity": "sha512-NJa0Bd/87QV5NZZzTuZG5BPJjLYadeSZ9fO6oOUoL4iQx+9EEuw/eEM92SrsT19Yc2jgB1u1hsjqDtH02c3Drw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-template-literals": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.16.7.tgz", + "integrity": "sha512-VwbkDDUeenlIjmfNeDX/V0aWrQH2QiVyJtwymVQSzItFDTpxfyJh3EVaQiS0rIN/CqbLGr0VcGmuwyTdZtdIsA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-typeof-symbol": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.16.7.tgz", + "integrity": "sha512-p2rOixCKRJzpg9JB4gjnG4gjWkWa89ZoYUnl9snJ1cWIcTH/hvxZqfO+WjG6T8DRBpctEol5jw1O5rA8gkCokQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-unicode-escapes": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.16.7.tgz", + "integrity": "sha512-TAV5IGahIz3yZ9/Hfv35TV2xEm+kaBDaZQCn2S/hG9/CZ0DktxJv9eKfPc7yYCvOYR4JGx1h8C+jcSOvgaaI/Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/plugin-transform-unicode-regex": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.16.7.tgz", + "integrity": "sha512-oC5tYYKw56HO75KZVLQ+R/Nl3Hro9kf8iG0hXoaHP7tjAyCpvqBiSNe6vGrZni1Z6MggmUOC6A7VP7AVmw225Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-create-regexp-features-plugin": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/preset-env": { + "version": "7.16.11", + "resolved": "https://registry.npmjs.org/@babel/preset-env/-/preset-env-7.16.11.tgz", + "integrity": "sha512-qcmWG8R7ZW6WBRPZK//y+E3Cli151B20W1Rv7ln27vuPaXU/8TKms6jFdiJtF7UDTxcrb7mZd88tAeK9LjdT8g==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/compat-data": "^7.16.8", + "@babel/helper-compilation-targets": "^7.16.7", + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-validator-option": "^7.16.7", + "@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression": "^7.16.7", + "@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining": "^7.16.7", + "@babel/plugin-proposal-async-generator-functions": "^7.16.8", + "@babel/plugin-proposal-class-properties": "^7.16.7", + "@babel/plugin-proposal-class-static-block": "^7.16.7", + "@babel/plugin-proposal-dynamic-import": "^7.16.7", + "@babel/plugin-proposal-export-namespace-from": "^7.16.7", + "@babel/plugin-proposal-json-strings": "^7.16.7", + "@babel/plugin-proposal-logical-assignment-operators": "^7.16.7", + "@babel/plugin-proposal-nullish-coalescing-operator": "^7.16.7", + "@babel/plugin-proposal-numeric-separator": "^7.16.7", + "@babel/plugin-proposal-object-rest-spread": "^7.16.7", + "@babel/plugin-proposal-optional-catch-binding": "^7.16.7", + "@babel/plugin-proposal-optional-chaining": "^7.16.7", + "@babel/plugin-proposal-private-methods": "^7.16.11", + "@babel/plugin-proposal-private-property-in-object": "^7.16.7", + "@babel/plugin-proposal-unicode-property-regex": "^7.16.7", + "@babel/plugin-syntax-async-generators": "^7.8.4", + "@babel/plugin-syntax-class-properties": "^7.12.13", + "@babel/plugin-syntax-class-static-block": "^7.14.5", + "@babel/plugin-syntax-dynamic-import": "^7.8.3", + "@babel/plugin-syntax-export-namespace-from": "^7.8.3", + "@babel/plugin-syntax-json-strings": "^7.8.3", + "@babel/plugin-syntax-logical-assignment-operators": "^7.10.4", + "@babel/plugin-syntax-nullish-coalescing-operator": "^7.8.3", + "@babel/plugin-syntax-numeric-separator": "^7.10.4", + "@babel/plugin-syntax-object-rest-spread": "^7.8.3", + "@babel/plugin-syntax-optional-catch-binding": "^7.8.3", + "@babel/plugin-syntax-optional-chaining": "^7.8.3", + "@babel/plugin-syntax-private-property-in-object": "^7.14.5", + "@babel/plugin-syntax-top-level-await": "^7.14.5", + "@babel/plugin-transform-arrow-functions": "^7.16.7", + "@babel/plugin-transform-async-to-generator": "^7.16.8", + "@babel/plugin-transform-block-scoped-functions": "^7.16.7", + "@babel/plugin-transform-block-scoping": "^7.16.7", + "@babel/plugin-transform-classes": "^7.16.7", + "@babel/plugin-transform-computed-properties": "^7.16.7", + "@babel/plugin-transform-destructuring": "^7.16.7", + "@babel/plugin-transform-dotall-regex": "^7.16.7", + "@babel/plugin-transform-duplicate-keys": "^7.16.7", + "@babel/plugin-transform-exponentiation-operator": "^7.16.7", + "@babel/plugin-transform-for-of": "^7.16.7", + "@babel/plugin-transform-function-name": "^7.16.7", + "@babel/plugin-transform-literals": "^7.16.7", + "@babel/plugin-transform-member-expression-literals": "^7.16.7", + "@babel/plugin-transform-modules-amd": "^7.16.7", + "@babel/plugin-transform-modules-commonjs": "^7.16.8", + "@babel/plugin-transform-modules-systemjs": "^7.16.7", + "@babel/plugin-transform-modules-umd": "^7.16.7", + "@babel/plugin-transform-named-capturing-groups-regex": "^7.16.8", + "@babel/plugin-transform-new-target": "^7.16.7", + "@babel/plugin-transform-object-super": "^7.16.7", + "@babel/plugin-transform-parameters": "^7.16.7", + "@babel/plugin-transform-property-literals": "^7.16.7", + "@babel/plugin-transform-regenerator": "^7.16.7", + "@babel/plugin-transform-reserved-words": "^7.16.7", + "@babel/plugin-transform-shorthand-properties": "^7.16.7", + "@babel/plugin-transform-spread": "^7.16.7", + "@babel/plugin-transform-sticky-regex": "^7.16.7", + "@babel/plugin-transform-template-literals": "^7.16.7", + "@babel/plugin-transform-typeof-symbol": "^7.16.7", + "@babel/plugin-transform-unicode-escapes": "^7.16.7", + "@babel/plugin-transform-unicode-regex": "^7.16.7", + "@babel/preset-modules": "^0.1.5", + "@babel/types": "^7.16.8", + "babel-plugin-polyfill-corejs2": "^0.3.0", + "babel-plugin-polyfill-corejs3": "^0.5.0", + "babel-plugin-polyfill-regenerator": "^0.3.0", + "core-js-compat": "^3.20.2", + "semver": "^6.3.0" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/preset-modules": { + "version": "0.1.5", + "resolved": "https://registry.npmjs.org/@babel/preset-modules/-/preset-modules-0.1.5.tgz", + "integrity": "sha512-A57th6YRG7oR3cq/yt/Y84MvGgE0eJG2F1JLhKuyG+jFxEgrd/HAMJatiFtmOiZurz+0DkrvbheCLaV5f2JfjA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.0.0", + "@babel/plugin-proposal-unicode-property-regex": "^7.4.4", + "@babel/plugin-transform-dotall-regex": "^7.4.4", + "@babel/types": "^7.4.4", + "esutils": "^2.0.2" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/preset-react": { + "version": "7.16.7", + "resolved": "https://registry.npmjs.org/@babel/preset-react/-/preset-react-7.16.7.tgz", + "integrity": "sha512-fWpyI8UM/HE6DfPBzD8LnhQ/OcH8AgTaqcqP2nGOXEUV+VKBR5JRN9hCk9ai+zQQ57vtm9oWeXguBCPNUjytgA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-plugin-utils": "^7.16.7", + "@babel/helper-validator-option": "^7.16.7", + "@babel/plugin-transform-react-display-name": "^7.16.7", + "@babel/plugin-transform-react-jsx": "^7.16.7", + "@babel/plugin-transform-react-jsx-development": "^7.16.7", + "@babel/plugin-transform-react-pure-annotations": "^7.16.7" + }, + "engines": { + "node": ">=6.9.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/@babel/runtime": { + "version": "7.28.4", + "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.28.4.tgz", + "integrity": "sha512-Q/N6JNWvIvPnLDvjlE1OUBLPQHH6l3CltCEsHIujp45zQUSSh8K+gHnaEX45yAT1nyngnINhvWtzN+Nb9D8RAQ==", + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/template": { + "version": "7.27.2", + "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.27.2.tgz", + "integrity": "sha512-LPDZ85aEJyYSd18/DkjNh4/y1ntkE5KwUHWTiqgRxruuZL2F1yuHligVHLvcHY2vMHXttKFpJn6LwfI7cw7ODw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/code-frame": "^7.27.1", + "@babel/parser": "^7.27.2", + "@babel/types": "^7.27.1" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/traverse": { + "version": "7.28.4", + "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.28.4.tgz", + "integrity": "sha512-YEzuboP2qvQavAcjgQNVgsvHIDv6ZpwXvcvjmyySP2DIMuByS/6ioU5G9pYrWHM6T2YDfc7xga9iNzYOs12CFQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/code-frame": "^7.27.1", + "@babel/generator": "^7.28.3", + "@babel/helper-globals": "^7.28.0", + "@babel/parser": "^7.28.4", + "@babel/template": "^7.27.2", + "@babel/types": "^7.28.4", + "debug": "^4.3.1" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@babel/types": { + "version": "7.28.4", + "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.28.4.tgz", + "integrity": "sha512-bkFqkLhh3pMBUQQkpVgWDWq/lqzc2678eUyDlTBhRqhCHFguYYGM0Efga7tYk4TogG/3x0EEl66/OQ+WGbWB/Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-string-parser": "^7.27.1", + "@babel/helper-validator-identifier": "^7.27.1" + }, + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/@csstools/postcss-color-function": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/@csstools/postcss-color-function/-/postcss-color-function-1.0.3.tgz", + "integrity": "sha512-J26I69pT2B3MYiLY/uzCGKVJyMYVg9TCpXkWsRlt+Yfq+nELUEm72QXIMYXs4xA9cJA4Oqs2EylrfokKl3mJEQ==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "@csstools/postcss-progressive-custom-properties": "^1.1.0", + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/@csstools/postcss-font-format-keywords": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/@csstools/postcss-font-format-keywords/-/postcss-font-format-keywords-1.0.0.tgz", + "integrity": "sha512-oO0cZt8do8FdVBX8INftvIA4lUrKUSCcWUf9IwH9IPWOgKT22oAZFXeHLoDK7nhB2SmkNycp5brxfNMRLIhd6Q==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.3" + } + }, + "node_modules/@csstools/postcss-hwb-function": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/@csstools/postcss-hwb-function/-/postcss-hwb-function-1.0.0.tgz", + "integrity": "sha512-VSTd7hGjmde4rTj1rR30sokY3ONJph1reCBTUXqeW1fKwETPy1x4t/XIeaaqbMbC5Xg4SM/lyXZ2S8NELT2TaA==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.3" + } + }, + "node_modules/@csstools/postcss-ic-unit": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/@csstools/postcss-ic-unit/-/postcss-ic-unit-1.0.0.tgz", + "integrity": "sha512-i4yps1mBp2ijrx7E96RXrQXQQHm6F4ym1TOD0D69/sjDjZvQ22tqiEvaNw7pFZTUO5b9vWRHzbHzP9+UKuw+bA==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "@csstools/postcss-progressive-custom-properties": "^1.1.0", + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.3" + } + }, + "node_modules/@csstools/postcss-is-pseudo-class": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/@csstools/postcss-is-pseudo-class/-/postcss-is-pseudo-class-2.0.1.tgz", + "integrity": "sha512-Og5RrTzwFhrKoA79c3MLkfrIBYmwuf/X83s+JQtz/Dkk/MpsaKtqHV1OOzYkogQ+tj3oYp5Mq39XotBXNqVc3Q==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/@csstools/postcss-normalize-display-values": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/@csstools/postcss-normalize-display-values/-/postcss-normalize-display-values-1.0.0.tgz", + "integrity": "sha512-bX+nx5V8XTJEmGtpWTO6kywdS725t71YSLlxWt78XoHUbELWgoCXeOFymRJmL3SU1TLlKSIi7v52EWqe60vJTQ==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.3" + } + }, + "node_modules/@csstools/postcss-oklab-function": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/@csstools/postcss-oklab-function/-/postcss-oklab-function-1.0.2.tgz", + "integrity": "sha512-QwhWesEkMlp4narAwUi6pgc6kcooh8cC7zfxa9LSQNYXqzcdNUtNBzbGc5nuyAVreb7uf5Ox4qH1vYT3GA1wOg==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "@csstools/postcss-progressive-custom-properties": "^1.1.0", + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/@csstools/postcss-progressive-custom-properties": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/@csstools/postcss-progressive-custom-properties/-/postcss-progressive-custom-properties-1.3.0.tgz", + "integrity": "sha512-ASA9W1aIy5ygskZYuWams4BzafD12ULvSypmaLJT2jvQ8G0M3I8PRQhC0h7mG0Z3LI05+agZjqSR9+K9yaQQjA==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.3" + } + }, + "node_modules/@discoveryjs/json-ext": { + "version": "0.5.6", + "resolved": "https://registry.npmjs.org/@discoveryjs/json-ext/-/json-ext-0.5.6.tgz", + "integrity": "sha512-ws57AidsDvREKrZKYffXddNkyaF14iHNHm8VQnZH6t99E8gczjNN0GpvcGny0imC80yQ0tHz1xVUKk/KFQSUyA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.0.0" + } + }, + "node_modules/@floating-ui/core": { + "version": "0.7.2", + "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-0.7.2.tgz", + "integrity": "sha512-FRVAkSNU/vGXLIsgbggcs70GkXKEOXgBBbNpYPNHSaKsCAMMd00NrjbtKTesxkdv9xm9N3+XiDlcFGY6WnatBg==", + "license": "MIT" + }, + "node_modules/@floating-ui/dom": { + "version": "0.5.2", + "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-0.5.2.tgz", + "integrity": "sha512-z1DnEa7F3d8Fm/eXSbii8UEGpcjZGkQaYYUI0WpEVgD3vBfebDW8j/3ysusxonuMexoigA+A3b/fYH7sEqiwyg==", + "license": "MIT", + "dependencies": { + "@floating-ui/core": "^0.7.2" + } + }, + "node_modules/@floating-ui/react-dom": { + "version": "0.7.1", + "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-0.7.1.tgz", + "integrity": "sha512-Dd7e8AupUjzcjeGf1g3EItf/QRtEWKF5GGyEs5WA5n3zlHvEgZ4XrZM6ANhUnzgE3pUQAaXkcXLnibgFp1YBRw==", + "license": "MIT", + "dependencies": { + "@floating-ui/dom": "^0.5.1", + "use-isomorphic-layout-effect": "^1.1.1" + }, + "peerDependencies": { + "react": ">=16.8.0", + "react-dom": ">=16.8.0" + } + }, + "node_modules/@floating-ui/react-dom-interactions": { + "version": "0.6.3", + "resolved": "https://registry.npmjs.org/@floating-ui/react-dom-interactions/-/react-dom-interactions-0.6.3.tgz", + "integrity": "sha512-xvbGEtBtA7JaEngnHQjROArv2onRp3oJIpb4+bEN5EGJf0hBYDY0vD8vFGPz/5TQwN++hb6icOB1QwdOnffMzw==", + "deprecated": "Package renamed to @floating-ui/react", + "license": "MIT", + "dependencies": { + "@floating-ui/react-dom": "^0.7.1", + "aria-hidden": "^1.1.3", + "use-isomorphic-layout-effect": "^1.1.1" + }, + "peerDependencies": { + "react": ">=16.8.0", + "react-dom": ">=16.8.0" + } + }, + "node_modules/@jridgewell/gen-mapping": { + "version": "0.3.13", + "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.13.tgz", + "integrity": "sha512-2kkt/7niJ6MgEPxF0bYdQ6etZaA+fQvDcLKckhy1yIQOzaoKjBBjSj63/aLVjYE3qhRt5dvM+uUyfCg6UKCBbA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@jridgewell/sourcemap-codec": "^1.5.0", + "@jridgewell/trace-mapping": "^0.3.24" + } + }, + "node_modules/@jridgewell/resolve-uri": { + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz", + "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.0.0" + } + }, + "node_modules/@jridgewell/source-map": { + "version": "0.3.11", + "resolved": "https://registry.npmjs.org/@jridgewell/source-map/-/source-map-0.3.11.tgz", + "integrity": "sha512-ZMp1V8ZFcPG5dIWnQLr3NSI1MiCU7UETdS/A0G8V/XWHvJv3ZsFqutJn1Y5RPmAPX6F3BiE397OqveU/9NCuIA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@jridgewell/gen-mapping": "^0.3.5", + "@jridgewell/trace-mapping": "^0.3.25" + } + }, + "node_modules/@jridgewell/sourcemap-codec": { + "version": "1.5.5", + "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.5.tgz", + "integrity": "sha512-cYQ9310grqxueWbl+WuIUIaiUaDcj7WOq5fVhEljNVgRfOUhY9fy2zTvfoqWsnebh8Sl70VScFbICvJnLKB0Og==", + "dev": true, + "license": "MIT" + }, + "node_modules/@jridgewell/trace-mapping": { + "version": "0.3.31", + "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.31.tgz", + "integrity": "sha512-zzNR+SdQSDJzc8joaeP8QQoCQr8NuYx2dIIytl1QeBEZHJ9uW6hebsrYgbz8hJwUQao3TWCMtmfV8Nu1twOLAw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@jridgewell/resolve-uri": "^3.1.0", + "@jridgewell/sourcemap-codec": "^1.4.14" + } + }, + "node_modules/@leichtgewicht/ip-codec": { + "version": "2.0.5", + "resolved": "https://registry.npmjs.org/@leichtgewicht/ip-codec/-/ip-codec-2.0.5.tgz", + "integrity": "sha512-Vo+PSpZG2/fmgmiNzYK9qWRh8h/CHrwD0mo1h1DzL4yzHNSfWYujGTYsWGreD000gcgmZ7K4Ys6Tx9TxtsKdDw==", + "dev": true, + "license": "MIT" + }, + "node_modules/@trysound/sax": { + "version": "0.2.0", + "resolved": "https://registry.npmjs.org/@trysound/sax/-/sax-0.2.0.tgz", + "integrity": "sha512-L7z9BgrNEcYyUYtF+HaEfiS5ebkh9jXqbszz7pC0hRBPaatV0XjSD3+eHrpqFemQfgwiFF0QPIarnIihIDn7OA==", + "dev": true, + "license": "ISC", + "engines": { + "node": ">=10.13.0" + } + }, + "node_modules/@types/body-parser": { + "version": "1.19.2", + "resolved": "https://registry.npmjs.org/@types/body-parser/-/body-parser-1.19.2.tgz", + "integrity": "sha512-ALYone6pm6QmwZoAgeyNksccT9Q4AWZQ6PvfwR37GT6r6FWUPguq6sUmNGSMV2Wr761oQoBxwGGa6DR5o1DC9g==", + "devOptional": true, + "license": "MIT", + "dependencies": { + "@types/connect": "*", + "@types/node": "*" + } + }, + "node_modules/@types/bonjour": { + "version": "3.5.13", + "resolved": "https://registry.npmjs.org/@types/bonjour/-/bonjour-3.5.13.tgz", + "integrity": "sha512-z9fJ5Im06zvUL548KvYNecEVlA7cVDkGUi6kZusb04mpyEFKCIZJvloCcmpmLaIahDpOQGHaHmG6imtPMmPXGQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/node": "*" + } + }, + "node_modules/@types/connect": { + "version": "3.4.35", + "resolved": "https://registry.npmjs.org/@types/connect/-/connect-3.4.35.tgz", + "integrity": "sha512-cdeYyv4KWoEgpBISTxWvqYsVy444DOqehiF3fM3ne10AmJ62RSyNkUnxMJXHQWRQQX2eR94m5y1IZyDwBjV9FQ==", + "devOptional": true, + "license": "MIT", + "dependencies": { + "@types/node": "*" + } + }, + "node_modules/@types/connect-history-api-fallback": { + "version": "1.5.4", + "resolved": "https://registry.npmjs.org/@types/connect-history-api-fallback/-/connect-history-api-fallback-1.5.4.tgz", + "integrity": "sha512-n6Cr2xS1h4uAulPRdlw6Jl6s1oG8KrVilPN2yUITEs+K48EzMJJ3W1xy8K5eWuFvjp3R74AOIGSmp2UfBJ8HFw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/express-serve-static-core": "*", + "@types/node": "*" + } + }, + "node_modules/@types/eslint": { + "version": "9.6.1", + "resolved": "https://registry.npmjs.org/@types/eslint/-/eslint-9.6.1.tgz", + "integrity": "sha512-FXx2pKgId/WyYo2jXw63kk7/+TY7u7AziEJxJAnSFzHlqTAS3Ync6SvgYAN/k4/PQpnnVuzoMuVnByKK2qp0ag==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/estree": "*", + "@types/json-schema": "*" + } + }, + "node_modules/@types/eslint-scope": { + "version": "3.7.7", + "resolved": "https://registry.npmjs.org/@types/eslint-scope/-/eslint-scope-3.7.7.tgz", + "integrity": "sha512-MzMFlSLBqNF2gcHWO0G1vP/YQyfvrxZ0bF+u7mzUdZ1/xK4A4sru+nraZz5i3iEIk1l1uyicaDVTB4QbbEkAYg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/eslint": "*", + "@types/estree": "*" + } + }, + "node_modules/@types/estree": { + "version": "1.0.8", + "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.8.tgz", + "integrity": "sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w==", + "dev": true, + "license": "MIT" + }, + "node_modules/@types/express": { + "version": "4.17.23", + "resolved": "https://registry.npmjs.org/@types/express/-/express-4.17.23.tgz", + "integrity": "sha512-Crp6WY9aTYP3qPi2wGDo9iUe/rceX01UMhnF1jmwDcKCFM6cx7YhGP/Mpr3y9AASpfHixIG0E6azCcL5OcDHsQ==", + "devOptional": true, + "license": "MIT", + "dependencies": { + "@types/body-parser": "*", + "@types/express-serve-static-core": "^4.17.33", + "@types/qs": "*", + "@types/serve-static": "*" + } + }, + "node_modules/@types/express-serve-static-core": { + "version": "4.19.7", + "resolved": "https://registry.npmjs.org/@types/express-serve-static-core/-/express-serve-static-core-4.19.7.tgz", + "integrity": "sha512-FvPtiIf1LfhzsaIXhv/PHan/2FeQBbtBDtfX2QfvPxdUelMDEckK08SM6nqo1MIZY3RUlfA+HV8+hFUSio78qg==", + "devOptional": true, + "license": "MIT", + "dependencies": { + "@types/node": "*", + "@types/qs": "*", + "@types/range-parser": "*", + "@types/send": "*" + } + }, + "node_modules/@types/http-errors": { + "version": "2.0.5", + "resolved": "https://registry.npmjs.org/@types/http-errors/-/http-errors-2.0.5.tgz", + "integrity": "sha512-r8Tayk8HJnX0FztbZN7oVqGccWgw98T/0neJphO91KkmOzug1KkofZURD4UaD5uH8AqcFLfdPErnBod0u71/qg==", + "devOptional": true, + "license": "MIT" + }, + "node_modules/@types/http-proxy": { + "version": "1.17.16", + "resolved": "https://registry.npmjs.org/@types/http-proxy/-/http-proxy-1.17.16.tgz", + "integrity": "sha512-sdWoUajOB1cd0A8cRRQ1cfyWNbmFKLAqBB89Y8x5iYyG/mkJHc0YUH8pdWBy2omi9qtCpiIgGjuwO0dQST2l5w==", + "license": "MIT", + "dependencies": { + "@types/node": "*" + } + }, + "node_modules/@types/json-schema": { + "version": "7.0.15", + "resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz", + "integrity": "sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==", + "dev": true, + "license": "MIT" + }, + "node_modules/@types/mime": { + "version": "1.3.2", + "resolved": "https://registry.npmjs.org/@types/mime/-/mime-1.3.2.tgz", + "integrity": "sha512-YATxVxgRqNH6nHEIsvg6k2Boc1JHI9ZbH5iWFFv/MTkchz3b1ieGDa5T0a9RznNdI0KhVbdbWSN+KWWrQZRxTw==", + "devOptional": true, + "license": "MIT" + }, + "node_modules/@types/node": { + "version": "16.11.12", + "resolved": "https://registry.npmjs.org/@types/node/-/node-16.11.12.tgz", + "integrity": "sha512-+2Iggwg7PxoO5Kyhvsq9VarmPbIelXP070HMImEpbtGCoyWNINQj4wzjbQCXzdHTRXnqufutJb5KAURZANNBAw==", + "license": "MIT" + }, + "node_modules/@types/node-forge": { + "version": "1.3.14", + "resolved": "https://registry.npmjs.org/@types/node-forge/-/node-forge-1.3.14.tgz", + "integrity": "sha512-mhVF2BnD4BO+jtOp7z1CdzaK4mbuK0LLQYAvdOLqHTavxFNq4zA1EmYkpnFjP8HOUzedfQkRnp0E2ulSAYSzAw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/node": "*" + } + }, + "node_modules/@types/parse-json": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/@types/parse-json/-/parse-json-4.0.0.tgz", + "integrity": "sha512-//oorEZjL6sbPcKUaCdIGlIUeH26mgzimjBB77G6XRgnDl/L5wOnpyBGRe/Mmf5CVW3PwEBE1NjiMZ/ssFh4wA==", + "dev": true, + "license": "MIT" + }, + "node_modules/@types/qs": { + "version": "6.9.7", + "resolved": "https://registry.npmjs.org/@types/qs/-/qs-6.9.7.tgz", + "integrity": "sha512-FGa1F62FT09qcrueBA6qYTrJPVDzah9a+493+o2PCXsesWHIn27G98TsSMs3WPNbZIEj4+VJf6saSFpvD+3Zsw==", + "devOptional": true, + "license": "MIT" + }, + "node_modules/@types/range-parser": { + "version": "1.2.4", + "resolved": "https://registry.npmjs.org/@types/range-parser/-/range-parser-1.2.4.tgz", + "integrity": "sha512-EEhsLsD6UsDM1yFhAvy0Cjr6VwmpMWqFBCb9w07wVugF7w9nfajxLuVmngTIpgS6svCnm6Vaw+MZhoDCKnOfsw==", + "devOptional": true, + "license": "MIT" + }, + "node_modules/@types/retry": { + "version": "0.12.2", + "resolved": "https://registry.npmjs.org/@types/retry/-/retry-0.12.2.tgz", + "integrity": "sha512-XISRgDJ2Tc5q4TRqvgJtzsRkFYNJzZrhTdtMoGVBttwzzQJkPnS3WWTFc7kuDRoPtPakl+T+OfdEUjYJj7Jbow==", + "dev": true, + "license": "MIT" + }, + "node_modules/@types/send": { + "version": "0.17.5", + "resolved": "https://registry.npmjs.org/@types/send/-/send-0.17.5.tgz", + "integrity": "sha512-z6F2D3cOStZvuk2SaP6YrwkNO65iTZcwA2ZkSABegdkAh/lf+Aa/YQndZVfmEXT5vgAp6zv06VQ3ejSVjAny4w==", + "devOptional": true, + "license": "MIT", + "dependencies": { + "@types/mime": "^1", + "@types/node": "*" + } + }, + "node_modules/@types/serve-index": { + "version": "1.9.4", + "resolved": "https://registry.npmjs.org/@types/serve-index/-/serve-index-1.9.4.tgz", + "integrity": "sha512-qLpGZ/c2fhSs5gnYsQxtDEq3Oy8SXPClIXkW5ghvAvsNuVSA8k+gCONcUCS/UjLEYvYps+e8uBtfgXgvhwfNug==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/express": "*" + } + }, + "node_modules/@types/serve-static": { + "version": "1.15.9", + "resolved": "https://registry.npmjs.org/@types/serve-static/-/serve-static-1.15.9.tgz", + "integrity": "sha512-dOTIuqpWLyl3BBXU3maNQsS4A3zuuoYRNIvYSxxhebPfXg2mzWQEPne/nlJ37yOse6uGgR386uTpdsx4D0QZWA==", + "devOptional": true, + "license": "MIT", + "dependencies": { + "@types/http-errors": "*", + "@types/node": "*", + "@types/send": "<1" + } + }, + "node_modules/@types/sockjs": { + "version": "0.3.36", + "resolved": "https://registry.npmjs.org/@types/sockjs/-/sockjs-0.3.36.tgz", + "integrity": "sha512-MK9V6NzAS1+Ud7JV9lJLFqW85VbC9dq3LmwZCuBe4wBDgKC0Kj/jd8Xl+nSviU+Qc3+m7umHHyHg//2KSa0a0Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/node": "*" + } + }, + "node_modules/@types/ws": { + "version": "8.18.1", + "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.18.1.tgz", + "integrity": "sha512-ThVF6DCVhA8kUGy+aazFQ4kXQ7E1Ty7A3ypFOe0IcJV8O/M511G99AW24irKrW56Wt44yG9+ij8FaqoBGkuBXg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/node": "*" + } + }, + "node_modules/@webassemblyjs/ast": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/ast/-/ast-1.14.1.tgz", + "integrity": "sha512-nuBEDgQfm1ccRp/8bCQrx1frohyufl4JlbMMZ4P1wpeOfDhF6FQkxZJ1b/e+PLwr6X1Nhw6OLme5usuBWYBvuQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/helper-numbers": "1.13.2", + "@webassemblyjs/helper-wasm-bytecode": "1.13.2" + } + }, + "node_modules/@webassemblyjs/floating-point-hex-parser": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/floating-point-hex-parser/-/floating-point-hex-parser-1.13.2.tgz", + "integrity": "sha512-6oXyTOzbKxGH4steLbLNOu71Oj+C8Lg34n6CqRvqfS2O71BxY6ByfMDRhBytzknj9yGUPVJ1qIKhRlAwO1AovA==", + "dev": true, + "license": "MIT" + }, + "node_modules/@webassemblyjs/helper-api-error": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-api-error/-/helper-api-error-1.13.2.tgz", + "integrity": "sha512-U56GMYxy4ZQCbDZd6JuvvNV/WFildOjsaWD3Tzzvmw/mas3cXzRJPMjP83JqEsgSbyrmaGjBfDtV7KDXV9UzFQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/@webassemblyjs/helper-buffer": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-buffer/-/helper-buffer-1.14.1.tgz", + "integrity": "sha512-jyH7wtcHiKssDtFPRB+iQdxlDf96m0E39yb0k5uJVhFGleZFoNw1c4aeIcVUPPbXUVJ94wwnMOAqUHyzoEPVMA==", + "dev": true, + "license": "MIT" + }, + "node_modules/@webassemblyjs/helper-numbers": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-numbers/-/helper-numbers-1.13.2.tgz", + "integrity": "sha512-FE8aCmS5Q6eQYcV3gI35O4J789wlQA+7JrqTTpJqn5emA4U2hvwJmvFRC0HODS+3Ye6WioDklgd6scJ3+PLnEA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/floating-point-hex-parser": "1.13.2", + "@webassemblyjs/helper-api-error": "1.13.2", + "@xtuc/long": "4.2.2" + } + }, + "node_modules/@webassemblyjs/helper-wasm-bytecode": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-wasm-bytecode/-/helper-wasm-bytecode-1.13.2.tgz", + "integrity": "sha512-3QbLKy93F0EAIXLh0ogEVR6rOubA9AoZ+WRYhNbFyuB70j3dRdwH9g+qXhLAO0kiYGlg3TxDV+I4rQTr/YNXkA==", + "dev": true, + "license": "MIT" + }, + "node_modules/@webassemblyjs/helper-wasm-section": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/helper-wasm-section/-/helper-wasm-section-1.14.1.tgz", + "integrity": "sha512-ds5mXEqTJ6oxRoqjhWDU83OgzAYjwsCV8Lo/N+oRsNDmx/ZDpqalmrtgOMkHwxsG0iI//3BwWAErYRHtgn0dZw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/ast": "1.14.1", + "@webassemblyjs/helper-buffer": "1.14.1", + "@webassemblyjs/helper-wasm-bytecode": "1.13.2", + "@webassemblyjs/wasm-gen": "1.14.1" + } + }, + "node_modules/@webassemblyjs/ieee754": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/ieee754/-/ieee754-1.13.2.tgz", + "integrity": "sha512-4LtOzh58S/5lX4ITKxnAK2USuNEvpdVV9AlgGQb8rJDHaLeHciwG4zlGr0j/SNWlr7x3vO1lDEsuePvtcDNCkw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@xtuc/ieee754": "^1.2.0" + } + }, + "node_modules/@webassemblyjs/leb128": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/leb128/-/leb128-1.13.2.tgz", + "integrity": "sha512-Lde1oNoIdzVzdkNEAWZ1dZ5orIbff80YPdHx20mrHwHrVNNTjNr8E3xz9BdpcGqRQbAEa+fkrCb+fRFTl/6sQw==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "@xtuc/long": "4.2.2" + } + }, + "node_modules/@webassemblyjs/utf8": { + "version": "1.13.2", + "resolved": "https://registry.npmjs.org/@webassemblyjs/utf8/-/utf8-1.13.2.tgz", + "integrity": "sha512-3NQWGjKTASY1xV5m7Hr0iPeXD9+RDobLll3T9d2AO+g3my8xy5peVyjSag4I50mR1bBSN/Ct12lo+R9tJk0NZQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/@webassemblyjs/wasm-edit": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-edit/-/wasm-edit-1.14.1.tgz", + "integrity": "sha512-RNJUIQH/J8iA/1NzlE4N7KtyZNHi3w7at7hDjvRNm5rcUXa00z1vRz3glZoULfJ5mpvYhLybmVcwcjGrC1pRrQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/ast": "1.14.1", + "@webassemblyjs/helper-buffer": "1.14.1", + "@webassemblyjs/helper-wasm-bytecode": "1.13.2", + "@webassemblyjs/helper-wasm-section": "1.14.1", + "@webassemblyjs/wasm-gen": "1.14.1", + "@webassemblyjs/wasm-opt": "1.14.1", + "@webassemblyjs/wasm-parser": "1.14.1", + "@webassemblyjs/wast-printer": "1.14.1" + } + }, + "node_modules/@webassemblyjs/wasm-gen": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-gen/-/wasm-gen-1.14.1.tgz", + "integrity": "sha512-AmomSIjP8ZbfGQhumkNvgC33AY7qtMCXnN6bL2u2Js4gVCg8fp735aEiMSBbDR7UQIj90n4wKAFUSEd0QN2Ukg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/ast": "1.14.1", + "@webassemblyjs/helper-wasm-bytecode": "1.13.2", + "@webassemblyjs/ieee754": "1.13.2", + "@webassemblyjs/leb128": "1.13.2", + "@webassemblyjs/utf8": "1.13.2" + } + }, + "node_modules/@webassemblyjs/wasm-opt": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-opt/-/wasm-opt-1.14.1.tgz", + "integrity": "sha512-PTcKLUNvBqnY2U6E5bdOQcSM+oVP/PmrDY9NzowJjislEjwP/C4an2303MCVS2Mg9d3AJpIGdUFIQQWbPds0Sw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/ast": "1.14.1", + "@webassemblyjs/helper-buffer": "1.14.1", + "@webassemblyjs/wasm-gen": "1.14.1", + "@webassemblyjs/wasm-parser": "1.14.1" + } + }, + "node_modules/@webassemblyjs/wasm-parser": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/wasm-parser/-/wasm-parser-1.14.1.tgz", + "integrity": "sha512-JLBl+KZ0R5qB7mCnud/yyX08jWFw5MsoalJ1pQ4EdFlgj9VdXKGuENGsiCIjegI1W7p91rUlcB/LB5yRJKNTcQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/ast": "1.14.1", + "@webassemblyjs/helper-api-error": "1.13.2", + "@webassemblyjs/helper-wasm-bytecode": "1.13.2", + "@webassemblyjs/ieee754": "1.13.2", + "@webassemblyjs/leb128": "1.13.2", + "@webassemblyjs/utf8": "1.13.2" + } + }, + "node_modules/@webassemblyjs/wast-printer": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/@webassemblyjs/wast-printer/-/wast-printer-1.14.1.tgz", + "integrity": "sha512-kPSSXE6De1XOR820C90RIo2ogvZG+c3KiHzqUoO/F34Y2shGzesfqv7o57xrxovZJH/MetF5UjroJ/R/3isoiw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@webassemblyjs/ast": "1.14.1", + "@xtuc/long": "4.2.2" + } + }, + "node_modules/@webpack-cli/configtest": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/@webpack-cli/configtest/-/configtest-1.1.1.tgz", + "integrity": "sha512-1FBc1f9G4P/AxMqIgfZgeOTuRnwZMten8E7zap5zgpPInnCrP8D4Q81+4CWIch8i/Nf7nXjP0v6CjjbHOrXhKg==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "webpack": "4.x.x || 5.x.x", + "webpack-cli": "4.x.x" + } + }, + "node_modules/@webpack-cli/info": { + "version": "1.4.1", + "resolved": "https://registry.npmjs.org/@webpack-cli/info/-/info-1.4.1.tgz", + "integrity": "sha512-PKVGmazEq3oAo46Q63tpMr4HipI3OPfP7LiNOEJg963RMgT0rqheag28NCML0o3GIzA3DmxP1ZIAv9oTX1CUIA==", + "dev": true, + "license": "MIT", + "dependencies": { + "envinfo": "^7.7.3" + }, + "peerDependencies": { + "webpack-cli": "4.x.x" + } + }, + "node_modules/@webpack-cli/serve": { + "version": "1.6.1", + "resolved": "https://registry.npmjs.org/@webpack-cli/serve/-/serve-1.6.1.tgz", + "integrity": "sha512-gNGTiTrjEVQ0OcVnzsRSqTxaBSr+dmTfm+qJsCDluky8uhdLWep7Gcr62QsAKHTMxjCS/8nEITsmFAhfIx+QSw==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "webpack-cli": "4.x.x" + }, + "peerDependenciesMeta": { + "webpack-dev-server": { + "optional": true + } + } + }, + "node_modules/@xtuc/ieee754": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/@xtuc/ieee754/-/ieee754-1.2.0.tgz", + "integrity": "sha512-DX8nKgqcGwsc0eJSqYt5lwP4DH5FlHnmuWWBRy7X0NcaGR0ZtuyeESgMwTYVEtxmsNGY+qit4QYT/MIYTOTPeA==", + "dev": true, + "license": "BSD-3-Clause" + }, + "node_modules/@xtuc/long": { + "version": "4.2.2", + "resolved": "https://registry.npmjs.org/@xtuc/long/-/long-4.2.2.tgz", + "integrity": "sha512-NuHqBY1PB/D8xU6s/thBgOAiAP7HOYDQ32+BFZILJ8ivkUkAHQnWfn6WhL79Owj1qmUnoN/YPhktdIoucipkAQ==", + "dev": true, + "license": "Apache-2.0" + }, + "node_modules/accepts": { + "version": "1.3.8", + "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz", + "integrity": "sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw==", + "dev": true, + "license": "MIT", + "dependencies": { + "mime-types": "~2.1.34", + "negotiator": "0.6.3" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/acorn": { + "version": "8.15.0", + "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz", + "integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==", + "dev": true, + "license": "MIT", + "bin": { + "acorn": "bin/acorn" + }, + "engines": { + "node": ">=0.4.0" + } + }, + "node_modules/acorn-import-phases": { + "version": "1.0.4", + "resolved": "https://registry.npmjs.org/acorn-import-phases/-/acorn-import-phases-1.0.4.tgz", + "integrity": "sha512-wKmbr/DDiIXzEOiWrTTUcDm24kQ2vGfZQvM2fwg2vXqR5uW6aapr7ObPtj1th32b9u90/Pf4AItvdTh42fBmVQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.13.0" + }, + "peerDependencies": { + "acorn": "^8.14.0" + } + }, + "node_modules/ajv": { + "version": "6.12.6", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz", + "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.1", + "fast-json-stable-stringify": "^2.0.0", + "json-schema-traverse": "^0.4.1", + "uri-js": "^4.2.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/ajv-formats": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz", + "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ajv": "^8.0.0" + }, + "peerDependencies": { + "ajv": "^8.0.0" + }, + "peerDependenciesMeta": { + "ajv": { + "optional": true + } + } + }, + "node_modules/ajv-formats/node_modules/ajv": { + "version": "8.8.2", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.8.2.tgz", + "integrity": "sha512-x9VuX+R/jcFj1DHo/fCp99esgGDWiHENrKxaCENuCxpoMCmAt/COCGVDwA7kleEpEzJjDnvh3yGoOuLu0Dtllw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2", + "uri-js": "^4.2.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/ajv-formats/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/ajv-keywords": { + "version": "3.5.2", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-3.5.2.tgz", + "integrity": "sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "ajv": "^6.9.1" + } + }, + "node_modules/alphanum-sort": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/alphanum-sort/-/alphanum-sort-1.0.2.tgz", + "integrity": "sha1-l6ERlkmyEa0zaR2fn0hqjsn74KM= sha512-0FcBfdcmaumGPQ0qPn7Q5qTgz/ooXgIyp1rf8ik5bGX8mpE2YHjC0P/eyQvxu1GURYQgq9ozf2mteQ5ZD9YiyQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/ansi-html-community": { + "version": "0.0.8", + "resolved": "https://registry.npmjs.org/ansi-html-community/-/ansi-html-community-0.0.8.tgz", + "integrity": "sha512-1APHAyr3+PCamwNw3bXCPp4HFLONZt/yIH0sZp0/469KWNTEy+qN5jQ3GVX6DMZ1UXAi34yVwtTeaG/HpBuuzw==", + "dev": true, + "engines": [ + "node >= 0.8.0" + ], + "license": "Apache-2.0", + "bin": { + "ansi-html": "bin/ansi-html" + } + }, + "node_modules/anymatch": { + "version": "3.1.3", + "resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz", + "integrity": "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw==", + "dev": true, + "license": "ISC", + "dependencies": { + "normalize-path": "^3.0.0", + "picomatch": "^2.0.4" + }, + "engines": { + "node": ">= 8" + } + }, + "node_modules/aria-hidden": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/aria-hidden/-/aria-hidden-1.1.3.tgz", + "integrity": "sha512-RhVWFtKH5BiGMycI72q2RAFMLQi8JP9bLuQXgR5a8Znp7P5KOIADSJeyfI8PCVxLEp067B2HbP5JIiI/PXIZeA==", + "license": "ISC", + "dependencies": { + "tslib": "^1.0.0" + }, + "engines": { + "node": ">=8.5.0" + } + }, + "node_modules/array-flatten": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz", + "integrity": "sha1-ml9pkFGx5wczKPKgCJaLZOopVdI= sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg==", + "dev": true, + "license": "MIT" + }, + "node_modules/autoprefixer": { + "version": "10.4.4", + "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.4.tgz", + "integrity": "sha512-Tm8JxsB286VweiZ5F0anmbyGiNI3v3wGv3mz9W+cxEDYB/6jbnj6GM9H9mK3wIL8ftgl+C07Lcwb8PG5PCCPzA==", + "dev": true, + "funding": [ + { + "type": "opencollective", + "url": "https://opencollective.com/postcss/" + }, + { + "type": "tidelift", + "url": "https://tidelift.com/funding/github/npm/autoprefixer" + } + ], + "license": "MIT", + "dependencies": { + "browserslist": "^4.20.2", + "caniuse-lite": "^1.0.30001317", + "fraction.js": "^4.2.0", + "normalize-range": "^0.1.2", + "picocolors": "^1.0.0", + "postcss-value-parser": "^4.2.0" + }, + "bin": { + "autoprefixer": "bin/autoprefixer" + }, + "engines": { + "node": "^10 || ^12 || >=14" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/babel-loader": { + "version": "8.2.4", + "resolved": "https://registry.npmjs.org/babel-loader/-/babel-loader-8.2.4.tgz", + "integrity": "sha512-8dytA3gcvPPPv4Grjhnt8b5IIiTcq/zeXOPk4iTYI0SVXcsmuGg7JtBRDp8S9X+gJfhQ8ektjXZlDu1Bb33U8A==", + "dev": true, + "license": "MIT", + "dependencies": { + "find-cache-dir": "^3.3.1", + "loader-utils": "^2.0.0", + "make-dir": "^3.1.0", + "schema-utils": "^2.6.5" + }, + "engines": { + "node": ">= 8.9" + }, + "peerDependencies": { + "@babel/core": "^7.0.0", + "webpack": ">=2" + } + }, + "node_modules/babel-plugin-dynamic-import-node": { + "version": "2.3.3", + "resolved": "https://registry.npmjs.org/babel-plugin-dynamic-import-node/-/babel-plugin-dynamic-import-node-2.3.3.tgz", + "integrity": "sha512-jZVI+s9Zg3IqA/kdi0i6UDCybUI3aSBLnglhYbSSjKlV7yF1F/5LWv8MakQmvYpnbJDS6fcBL2KzHSxNCMtWSQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "object.assign": "^4.1.0" + } + }, + "node_modules/babel-plugin-polyfill-corejs2": { + "version": "0.3.0", + "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-corejs2/-/babel-plugin-polyfill-corejs2-0.3.0.tgz", + "integrity": "sha512-wMDoBJ6uG4u4PNFh72Ty6t3EgfA91puCuAwKIazbQlci+ENb/UU9A3xG5lutjUIiXCIn1CY5L15r9LimiJyrSA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/compat-data": "^7.13.11", + "@babel/helper-define-polyfill-provider": "^0.3.0", + "semver": "^6.1.1" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/babel-plugin-polyfill-corejs3": { + "version": "0.5.2", + "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-corejs3/-/babel-plugin-polyfill-corejs3-0.5.2.tgz", + "integrity": "sha512-G3uJih0XWiID451fpeFaYGVuxHEjzKTHtc9uGFEjR6hHrvNzeS/PX+LLLcetJcytsB5m4j+K3o/EpXJNb/5IEQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-define-polyfill-provider": "^0.3.1", + "core-js-compat": "^3.21.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/babel-plugin-polyfill-regenerator": { + "version": "0.3.0", + "resolved": "https://registry.npmjs.org/babel-plugin-polyfill-regenerator/-/babel-plugin-polyfill-regenerator-0.3.0.tgz", + "integrity": "sha512-dhAPTDLGoMW5/84wkgwiLRwMnio2i1fUe53EuvtKMv0pn2p3S8OCoV1xAzfJPl0KOX7IB89s2ib85vbYiea3jg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/helper-define-polyfill-provider": "^0.3.0" + }, + "peerDependencies": { + "@babel/core": "^7.0.0-0" + } + }, + "node_modules/balanced-match": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz", + "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==", + "dev": true, + "license": "MIT" + }, + "node_modules/baseline-browser-mapping": { + "version": "2.8.17", + "resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.8.17.tgz", + "integrity": "sha512-j5zJcx6golJYTG6c05LUZ3Z8Gi+M62zRT/ycz4Xq4iCOdpcxwg7ngEYD4KA0eWZC7U17qh/Smq8bYbACJ0ipBA==", + "dev": true, + "license": "Apache-2.0", + "bin": { + "baseline-browser-mapping": "dist/cli.js" + } + }, + "node_modules/batch": { + "version": "0.6.1", + "resolved": "https://registry.npmjs.org/batch/-/batch-0.6.1.tgz", + "integrity": "sha1-3DQxT05nkxgJP8dgJyUl+UvyXBY= sha512-x+VAiMRL6UPkx+kudNvxTl6hB2XNNCG2r+7wixVfIYwu/2HKRXimwQyaumLjMveWvT2Hkd/cAJw+QBMfJ/EKVw==", + "dev": true, + "license": "MIT" + }, + "node_modules/big.js": { + "version": "5.2.2", + "resolved": "https://registry.npmjs.org/big.js/-/big.js-5.2.2.tgz", + "integrity": "sha512-vyL2OymJxmarO8gxMr0mhChsO9QGwhynfuu4+MHTAW6czfq9humCB7rKpUjDd9YUiDPU4mzpyupFSvOClAwbmQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": "*" + } + }, + "node_modules/binary-extensions": { + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz", + "integrity": "sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/body-parser": { + "version": "1.20.3", + "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.3.tgz", + "integrity": "sha512-7rAxByjUMqQ3/bHJy7D6OGXvx/MMc4IqBn/X0fcM1QUcAItpZrBEYhWGem+tzXH90c+G01ypMcYJBO9Y30203g==", + "dev": true, + "license": "MIT", + "dependencies": { + "bytes": "3.1.2", + "content-type": "~1.0.5", + "debug": "2.6.9", + "depd": "2.0.0", + "destroy": "1.2.0", + "http-errors": "2.0.0", + "iconv-lite": "0.4.24", + "on-finished": "2.4.1", + "qs": "6.13.0", + "raw-body": "2.5.2", + "type-is": "~1.6.18", + "unpipe": "1.0.0" + }, + "engines": { + "node": ">= 0.8", + "npm": "1.2.8000 || >= 1.4.16" + } + }, + "node_modules/body-parser/node_modules/debug": { + "version": "2.6.9", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.0.0" + } + }, + "node_modules/body-parser/node_modules/ms": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", + "dev": true, + "license": "MIT" + }, + "node_modules/bonjour-service": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/bonjour-service/-/bonjour-service-1.3.0.tgz", + "integrity": "sha512-3YuAUiSkWykd+2Azjgyxei8OWf8thdn8AITIog2M4UICzoqfjlqr64WIjEXZllf/W6vK1goqleSR6brGomxQqA==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3", + "multicast-dns": "^7.2.5" + } + }, + "node_modules/boolbase": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/boolbase/-/boolbase-1.0.0.tgz", + "integrity": "sha1-aN/1++YMUes3cl6p4+0xDcwed24= sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww==", + "dev": true, + "license": "ISC" + }, + "node_modules/braces": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", + "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", + "license": "MIT", + "dependencies": { + "fill-range": "^7.1.1" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/browserslist": { + "version": "4.26.3", + "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.26.3.tgz", + "integrity": "sha512-lAUU+02RFBuCKQPj/P6NgjlbCnLBMp4UtgTx7vNHd3XSIJF87s9a5rA3aH2yw3GS9DqZAUbOtZdCCiZeVRqt0w==", + "dev": true, + "funding": [ + { + "type": "opencollective", + "url": "https://opencollective.com/browserslist" + }, + { + "type": "tidelift", + "url": "https://tidelift.com/funding/github/npm/browserslist" + }, + { + "type": "github", + "url": "https://github.com/sponsors/ai" + } + ], + "license": "MIT", + "dependencies": { + "baseline-browser-mapping": "^2.8.9", + "caniuse-lite": "^1.0.30001746", + "electron-to-chromium": "^1.5.227", + "node-releases": "^2.0.21", + "update-browserslist-db": "^1.1.3" + }, + "bin": { + "browserslist": "cli.js" + }, + "engines": { + "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7" + } + }, + "node_modules/buffer-from": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/buffer-from/-/buffer-from-1.1.2.tgz", + "integrity": "sha512-E+XQCRwSbaaiChtv6k6Dwgc+bx+Bs6vuKJHHl5kox/BaKbhiXzqQOwK4cO22yElGp2OCmjwVhT3HmxgyPGnJfQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/bundle-name": { + "version": "4.1.0", + "resolved": "https://registry.npmjs.org/bundle-name/-/bundle-name-4.1.0.tgz", + "integrity": "sha512-tjwM5exMg6BGRI+kNmTntNsvdZS1X8BFYS6tnJ2hdH0kVxM6/eVZ2xy+FqStSWvYmtfFMDLIxurorHwDKfDz5Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "run-applescript": "^7.0.0" + }, + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/bytes": { + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz", + "integrity": "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/call-bind": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.2.tgz", + "integrity": "sha512-7O+FbCihrB5WGbFYesctwmTKae6rOiIzmz1icreWJ+0aA7LJfuqhEso2T9ncpcFtzMQtzXf2QGGueWJGTYsqrA==", + "dev": true, + "license": "MIT", + "dependencies": { + "function-bind": "^1.1.1", + "get-intrinsic": "^1.0.2" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/call-bind-apply-helpers": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz", + "integrity": "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "es-errors": "^1.3.0", + "function-bind": "^1.1.2" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/call-bound": { + "version": "1.0.4", + "resolved": "https://registry.npmjs.org/call-bound/-/call-bound-1.0.4.tgz", + "integrity": "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bind-apply-helpers": "^1.0.2", + "get-intrinsic": "^1.3.0" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/callsites": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/callsites/-/callsites-3.1.0.tgz", + "integrity": "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } + }, + "node_modules/caniuse-api": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/caniuse-api/-/caniuse-api-3.0.0.tgz", + "integrity": "sha512-bsTwuIg/BZZK/vreVTYYbSWoe2F+71P7K5QGEX+pT250DZbfU1MQ5prOKpPR+LL6uWKK3KMwMCAS74QB3Um1uw==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.0.0", + "caniuse-lite": "^1.0.0", + "lodash.memoize": "^4.1.2", + "lodash.uniq": "^4.5.0" + } + }, + "node_modules/caniuse-lite": { + "version": "1.0.30001751", + "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001751.tgz", + "integrity": "sha512-A0QJhug0Ly64Ii3eIqHu5X51ebln3k4yTUkY1j8drqpWHVreg/VLijN48cZ1bYPiqOQuqpkIKnzr/Ul8V+p6Cw==", + "dev": true, + "funding": [ + { + "type": "opencollective", + "url": "https://opencollective.com/browserslist" + }, + { + "type": "tidelift", + "url": "https://tidelift.com/funding/github/npm/caniuse-lite" + }, + { + "type": "github", + "url": "https://github.com/sponsors/ai" + } + ], + "license": "CC-BY-4.0" + }, + "node_modules/chokidar": { + "version": "3.6.0", + "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz", + "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==", + "dev": true, + "license": "MIT", + "dependencies": { + "anymatch": "~3.1.2", + "braces": "~3.0.2", + "glob-parent": "~5.1.2", + "is-binary-path": "~2.1.0", + "is-glob": "~4.0.1", + "normalize-path": "~3.0.0", + "readdirp": "~3.6.0" + }, + "engines": { + "node": ">= 8.10.0" + }, + "funding": { + "url": "https://paulmillr.com/funding/" + }, + "optionalDependencies": { + "fsevents": "~2.3.2" + } + }, + "node_modules/chrome-trace-event": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/chrome-trace-event/-/chrome-trace-event-1.0.3.tgz", + "integrity": "sha512-p3KULyQg4S7NIHixdwbGX+nFHkoBiA4YQmyWtjb8XngSKV124nJmRysgAeujbUVb15vh+RvFUfCPqU7rXk+hZg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.0" + } + }, + "node_modules/classnames": { + "version": "2.3.1", + "resolved": "https://registry.npmjs.org/classnames/-/classnames-2.3.1.tgz", + "integrity": "sha512-OlQdbZ7gLfGarSqxesMesDa5uz7KFbID8Kpq/SxIoNGDqY8lSYs0D+hhtBXhcdB3rcbXArFr7vlHheLk1voeNA==", + "license": "MIT" + }, + "node_modules/clone-deep": { + "version": "4.0.1", + "resolved": "https://registry.npmjs.org/clone-deep/-/clone-deep-4.0.1.tgz", + "integrity": "sha512-neHB9xuzh/wk0dIHweyAXv2aPGZIVk3pLMe+/RNzINf17fe0OG96QroktYAUm7SM1PBnzTabaLboqqxDyMU+SQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-plain-object": "^2.0.4", + "kind-of": "^6.0.2", + "shallow-clone": "^3.0.0" + }, + "engines": { + "node": ">=6" + } + }, + "node_modules/colord": { + "version": "2.9.1", + "resolved": "https://registry.npmjs.org/colord/-/colord-2.9.1.tgz", + "integrity": "sha512-4LBMSt09vR0uLnPVkOUBnmxgoaeN4ewRbx801wY/bXcltXfpR/G46OdWn96XpYmCWuYvO46aBZP4NgX8HpNAcw==", + "dev": true, + "license": "MIT" + }, + "node_modules/colorette": { + "version": "2.0.16", + "resolved": "https://registry.npmjs.org/colorette/-/colorette-2.0.16.tgz", + "integrity": "sha512-hUewv7oMjCp+wkBv5Rm0v87eJhq4woh5rSR+42YSQJKecCqgIqNkZ6lAlQms/BwHPJA5NKMRlpxPRv0n8HQW6g==", + "dev": true, + "license": "MIT" + }, + "node_modules/commander": { + "version": "7.2.0", + "resolved": "https://registry.npmjs.org/commander/-/commander-7.2.0.tgz", + "integrity": "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 10" + } + }, + "node_modules/commondir": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/commondir/-/commondir-1.0.1.tgz", + "integrity": "sha1-3dgA2gxmEnOTzKWVDqloo6rxJTs= sha512-W9pAhw0ja1Edb5GVdIF1mjZw/ASI0AlShXM83UUGe2DVr5TdAPEA1OA8m/g8zWp9x6On7gqufY+FatDbC3MDQg==", + "dev": true, + "license": "MIT" + }, + "node_modules/compressible": { + "version": "2.0.18", + "resolved": "https://registry.npmjs.org/compressible/-/compressible-2.0.18.tgz", + "integrity": "sha512-AF3r7P5dWxL8MxyITRMlORQNaOA2IkAFaTr4k7BUumjPtRpGDTZpl0Pb1XCO6JeDCBdp126Cgs9sMxqSjgYyRg==", + "dev": true, + "license": "MIT", + "dependencies": { + "mime-db": ">= 1.43.0 < 2" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/compression": { + "version": "1.8.1", + "resolved": "https://registry.npmjs.org/compression/-/compression-1.8.1.tgz", + "integrity": "sha512-9mAqGPHLakhCLeNyxPkK4xVo746zQ/czLH1Ky+vkitMnWfWZps8r0qXuwhwizagCRttsL4lfG4pIOvaWLpAP0w==", + "dev": true, + "license": "MIT", + "dependencies": { + "bytes": "3.1.2", + "compressible": "~2.0.18", + "debug": "2.6.9", + "negotiator": "~0.6.4", + "on-headers": "~1.1.0", + "safe-buffer": "5.2.1", + "vary": "~1.1.2" + }, + "engines": { + "node": ">= 0.8.0" + } + }, + "node_modules/compression/node_modules/debug": { + "version": "2.6.9", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.0.0" + } + }, + "node_modules/compression/node_modules/ms": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", + "dev": true, + "license": "MIT" + }, + "node_modules/compression/node_modules/negotiator": { + "version": "0.6.4", + "resolved": "https://registry.npmjs.org/negotiator/-/negotiator-0.6.4.tgz", + "integrity": "sha512-myRT3DiWPHqho5PrJaIRyaMv2kgYf0mUVgBNOYMuCH5Ki1yEiQaf/ZJuQ62nvpc44wL5WDbTX7yGJi1Neevw8w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/compression/node_modules/safe-buffer": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", + "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/feross" + }, + { + "type": "patreon", + "url": "https://www.patreon.com/feross" + }, + { + "type": "consulting", + "url": "https://feross.org/support" + } + ], + "license": "MIT" + }, + "node_modules/compute-scroll-into-view": { + "version": "1.0.17", + "resolved": "https://registry.npmjs.org/compute-scroll-into-view/-/compute-scroll-into-view-1.0.17.tgz", + "integrity": "sha512-j4dx+Fb0URmzbwwMUrhqWM2BEWHdFGx+qZ9qqASHRPqvTYdqvWnHg0H1hIbcyLnvgnoNAVMlwkepyqM3DaIFUg==", + "license": "MIT" + }, + "node_modules/connect-history-api-fallback": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/connect-history-api-fallback/-/connect-history-api-fallback-2.0.0.tgz", + "integrity": "sha512-U73+6lQFmfiNPrYbXqr6kZ1i1wiRqXnp2nhMsINseWXO8lDau0LGEffJ8kQi4EjLZympVgRdvqjAgiZ1tgzDDA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.8" + } + }, + "node_modules/content-disposition": { + "version": "0.5.4", + "resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz", + "integrity": "sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "safe-buffer": "5.2.1" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/content-disposition/node_modules/safe-buffer": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", + "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/feross" + }, + { + "type": "patreon", + "url": "https://www.patreon.com/feross" + }, + { + "type": "consulting", + "url": "https://feross.org/support" + } + ], + "license": "MIT" + }, + "node_modules/content-type": { + "version": "1.0.5", + "resolved": "https://registry.npmjs.org/content-type/-/content-type-1.0.5.tgz", + "integrity": "sha512-nTjqfcBFEipKdXCv4YDQWCfmcLZKm81ldF0pAopTvyrFGVbcR6P/VAAd5G7N+0tTr8QqiU0tFadD6FK4NtJwOA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/convert-source-map": { + "version": "1.8.0", + "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-1.8.0.tgz", + "integrity": "sha512-+OQdjP49zViI/6i7nIJpA8rAl4sV/JdPfU9nZs3VqOwGIgizICvuN2ru6fMd+4llL0tar18UYJXfZ/TWtmhUjA==", + "dev": true, + "license": "MIT", + "dependencies": { + "safe-buffer": "~5.1.1" + } + }, + "node_modules/cookie": { + "version": "0.7.1", + "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.7.1.tgz", + "integrity": "sha512-6DnInpx7SJ2AK3+CTUE/ZM0vWTUboZCegxhC2xiIydHR9jNuTAASBrfEpHhiGOZw/nX51bHt6YQl8jsGo4y/0w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/cookie-signature": { + "version": "1.0.6", + "resolved": "https://registry.npmjs.org/cookie-signature/-/cookie-signature-1.0.6.tgz", + "integrity": "sha1-4wOogrNCzD7oylE6eZmXNNqzriw= sha512-QADzlaHc8icV8I7vbaJXJwod9HWYp8uCqf1xa4OfNu1T7JVxQIrUgOWtHdNDtPiywmFbiS12VjotIXLrKM3orQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/core-js-compat": { + "version": "3.46.0", + "resolved": "https://registry.npmjs.org/core-js-compat/-/core-js-compat-3.46.0.tgz", + "integrity": "sha512-p9hObIIEENxSV8xIu+V68JjSeARg6UVMG5mR+JEUguG3sI6MsiS1njz2jHmyJDvA+8jX/sytkBHup6kxhM9law==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.26.3" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/core-js" + } + }, + "node_modules/core-util-is": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/core-util-is/-/core-util-is-1.0.3.tgz", + "integrity": "sha512-ZQBvi1DcpJ4GDqanjucZ2Hj3wEO5pZDS89BWbkcrvdxksJorwUDDZamX9ldFkp9aw2lmBDLgkObEA4DWNJ9FYQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/cosmiconfig": { + "version": "7.0.1", + "resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-7.0.1.tgz", + "integrity": "sha512-a1YWNUV2HwGimB7dU2s1wUMurNKjpx60HxBB6xUM8Re+2s1g1IIfJvFR0/iCF+XHdE0GMTKTuLR32UQff4TEyQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/parse-json": "^4.0.0", + "import-fresh": "^3.2.1", + "parse-json": "^5.0.0", + "path-type": "^4.0.0", + "yaml": "^1.10.0" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/cross-spawn": { + "version": "7.0.6", + "resolved": "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz", + "integrity": "sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==", + "dev": true, + "license": "MIT", + "dependencies": { + "path-key": "^3.1.0", + "shebang-command": "^2.0.0", + "which": "^2.0.1" + }, + "engines": { + "node": ">= 8" + } + }, + "node_modules/css-blank-pseudo": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/css-blank-pseudo/-/css-blank-pseudo-3.0.3.tgz", + "integrity": "sha512-VS90XWtsHGqoM0t4KpH053c4ehxZ2E6HtGI7x68YFV0pTo/QmkV/YFA+NnlvK8guxZVNWGQhVNJGC39Q8XF4OQ==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "bin": { + "css-blank-pseudo": "dist/cli.cjs" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/css-declaration-sorter": { + "version": "6.1.3", + "resolved": "https://registry.npmjs.org/css-declaration-sorter/-/css-declaration-sorter-6.1.3.tgz", + "integrity": "sha512-SvjQjNRZgh4ULK1LDJ2AduPKUKxIqmtU7ZAyi47BTV+M90Qvxr9AB6lKlLbDUfXqI9IQeYA8LbAsCZPpJEV3aA==", + "dev": true, + "license": "ISC", + "dependencies": { + "timsort": "^0.3.0" + }, + "engines": { + "node": ">= 10" + }, + "peerDependencies": { + "postcss": "^8.0.9" + } + }, + "node_modules/css-has-pseudo": { + "version": "3.0.4", + "resolved": "https://registry.npmjs.org/css-has-pseudo/-/css-has-pseudo-3.0.4.tgz", + "integrity": "sha512-Vse0xpR1K9MNlp2j5w1pgWIJtm1a8qS0JwS9goFYcImjlHEmywP9VUF05aGBXzGpDJF86QXk4L0ypBmwPhGArw==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "bin": { + "css-has-pseudo": "dist/cli.cjs" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/css-loader": { + "version": "6.7.1", + "resolved": "https://registry.npmjs.org/css-loader/-/css-loader-6.7.1.tgz", + "integrity": "sha512-yB5CNFa14MbPJcomwNh3wLThtkZgcNyI2bNMRt8iE5Z8Vwl7f8vQXFAzn2HDOJvtDq2NTZBUGMSUNNyrv3/+cw==", + "dev": true, + "license": "MIT", + "dependencies": { + "icss-utils": "^5.1.0", + "postcss": "^8.4.7", + "postcss-modules-extract-imports": "^3.0.0", + "postcss-modules-local-by-default": "^4.0.0", + "postcss-modules-scope": "^3.0.0", + "postcss-modules-values": "^4.0.0", + "postcss-value-parser": "^4.2.0", + "semver": "^7.3.5" + }, + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.0.0" + } + }, + "node_modules/css-loader/node_modules/semver": { + "version": "7.7.3", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.3.tgz", + "integrity": "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q==", + "dev": true, + "license": "ISC", + "bin": { + "semver": "bin/semver.js" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/css-minimizer-webpack-plugin": { + "version": "3.4.1", + "resolved": "https://registry.npmjs.org/css-minimizer-webpack-plugin/-/css-minimizer-webpack-plugin-3.4.1.tgz", + "integrity": "sha512-1u6D71zeIfgngN2XNRJefc/hY7Ybsxd74Jm4qngIXyUEk7fss3VUzuHxLAq/R8NAba4QU9OUSaMZlbpRc7bM4Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano": "^5.0.6", + "jest-worker": "^27.0.2", + "postcss": "^8.3.5", + "schema-utils": "^4.0.0", + "serialize-javascript": "^6.0.0", + "source-map": "^0.6.1" + }, + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.0.0" + }, + "peerDependenciesMeta": { + "@parcel/css": { + "optional": true + }, + "clean-css": { + "optional": true + }, + "csso": { + "optional": true + }, + "esbuild": { + "optional": true + } + } + }, + "node_modules/css-minimizer-webpack-plugin/node_modules/ajv": { + "version": "8.8.2", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.8.2.tgz", + "integrity": "sha512-x9VuX+R/jcFj1DHo/fCp99esgGDWiHENrKxaCENuCxpoMCmAt/COCGVDwA7kleEpEzJjDnvh3yGoOuLu0Dtllw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2", + "uri-js": "^4.2.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/css-minimizer-webpack-plugin/node_modules/ajv-keywords": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz", + "integrity": "sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3" + }, + "peerDependencies": { + "ajv": "^8.8.2" + } + }, + "node_modules/css-minimizer-webpack-plugin/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/css-minimizer-webpack-plugin/node_modules/schema-utils": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.0.0.tgz", + "integrity": "sha512-1edyXKgh6XnJsJSQ8mKWXnN/BVaIbFMLpouRUrXgVq7WYne5kw3MW7UPhO44uRXQSIpTSXoJbmrR2X0w9kUTyg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.9", + "ajv": "^8.8.0", + "ajv-formats": "^2.1.1", + "ajv-keywords": "^5.0.0" + }, + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/css-minimizer-webpack-plugin/node_modules/source-map": { + "version": "0.6.1", + "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz", + "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==", + "dev": true, + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/css-prefers-color-scheme": { + "version": "6.0.3", + "resolved": "https://registry.npmjs.org/css-prefers-color-scheme/-/css-prefers-color-scheme-6.0.3.tgz", + "integrity": "sha512-4BqMbZksRkJQx2zAjrokiGMd07RqOa2IxIrrN10lyBe9xhn9DEvjUK79J6jkeiv9D9hQFXKb6g1jwU62jziJZA==", + "dev": true, + "license": "CC0-1.0", + "bin": { + "css-prefers-color-scheme": "dist/cli.cjs" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/css-select": { + "version": "4.1.3", + "resolved": "https://registry.npmjs.org/css-select/-/css-select-4.1.3.tgz", + "integrity": "sha512-gT3wBNd9Nj49rAbmtFHj1cljIAOLYSX1nZ8CB7TBO3INYckygm5B7LISU/szY//YmdiSLbJvDLOx9VnMVpMBxA==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "boolbase": "^1.0.0", + "css-what": "^5.0.0", + "domhandler": "^4.2.0", + "domutils": "^2.6.0", + "nth-check": "^2.0.0" + }, + "funding": { + "url": "https://github.com/sponsors/fb55" + } + }, + "node_modules/css-tree": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/css-tree/-/css-tree-1.1.3.tgz", + "integrity": "sha512-tRpdppF7TRazZrjJ6v3stzv93qxRcSsFmW6cX0Zm2NVKpxE1WV1HblnghVv9TreireHkqI/VDEsfolRF1p6y7Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "mdn-data": "2.0.14", + "source-map": "^0.6.1" + }, + "engines": { + "node": ">=8.0.0" + } + }, + "node_modules/css-tree/node_modules/source-map": { + "version": "0.6.1", + "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz", + "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==", + "dev": true, + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/css-what": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/css-what/-/css-what-5.1.0.tgz", + "integrity": "sha512-arSMRWIIFY0hV8pIxZMEfmMI47Wj3R/aWpZDDxWYCPEiOMv6tfOrnpDtgxBYPEQD4V0Y/958+1TdC3iWTFcUPw==", + "dev": true, + "license": "BSD-2-Clause", + "engines": { + "node": ">= 6" + }, + "funding": { + "url": "https://github.com/sponsors/fb55" + } + }, + "node_modules/cssdb": { + "version": "6.5.0", + "resolved": "https://registry.npmjs.org/cssdb/-/cssdb-6.5.0.tgz", + "integrity": "sha512-Rh7AAopF2ckPXe/VBcoUS9JrCZNSyc60+KpgE6X25vpVxA32TmiqvExjkfhwP4wGSb6Xe8Z/JIyGqwgx/zZYFA==", + "dev": true, + "license": "CC0-1.0" + }, + "node_modules/cssesc": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/cssesc/-/cssesc-3.0.0.tgz", + "integrity": "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==", + "dev": true, + "license": "MIT", + "bin": { + "cssesc": "bin/cssesc" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/cssnano": { + "version": "5.0.12", + "resolved": "https://registry.npmjs.org/cssnano/-/cssnano-5.0.12.tgz", + "integrity": "sha512-U38V4x2iJ3ijPdeWqUrEr4eKBB5PbEKsNP5T8xcik2Au3LeMtiMHX0i2Hu9k51FcKofNZumbrcdC6+a521IUHg==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano-preset-default": "^5.1.8", + "is-resolvable": "^1.1.0", + "lilconfig": "^2.0.3", + "yaml": "^1.10.2" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/cssnano" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/cssnano-preset-default": { + "version": "5.1.8", + "resolved": "https://registry.npmjs.org/cssnano-preset-default/-/cssnano-preset-default-5.1.8.tgz", + "integrity": "sha512-zWMlP0+AMPBVE852SqTrP0DnhTcTA2C1wAF92TKZ3Va+aUVqLIhkqKlnJIXXdqXD7RN+S1ujuWmNpvrJBiM/vg==", + "dev": true, + "license": "MIT", + "dependencies": { + "css-declaration-sorter": "^6.0.3", + "cssnano-utils": "^2.0.1", + "postcss-calc": "^8.0.0", + "postcss-colormin": "^5.2.1", + "postcss-convert-values": "^5.0.2", + "postcss-discard-comments": "^5.0.1", + "postcss-discard-duplicates": "^5.0.1", + "postcss-discard-empty": "^5.0.1", + "postcss-discard-overridden": "^5.0.1", + "postcss-merge-longhand": "^5.0.4", + "postcss-merge-rules": "^5.0.3", + "postcss-minify-font-values": "^5.0.1", + "postcss-minify-gradients": "^5.0.3", + "postcss-minify-params": "^5.0.2", + "postcss-minify-selectors": "^5.1.0", + "postcss-normalize-charset": "^5.0.1", + "postcss-normalize-display-values": "^5.0.1", + "postcss-normalize-positions": "^5.0.1", + "postcss-normalize-repeat-style": "^5.0.1", + "postcss-normalize-string": "^5.0.1", + "postcss-normalize-timing-functions": "^5.0.1", + "postcss-normalize-unicode": "^5.0.1", + "postcss-normalize-url": "^5.0.3", + "postcss-normalize-whitespace": "^5.0.1", + "postcss-ordered-values": "^5.0.2", + "postcss-reduce-initial": "^5.0.2", + "postcss-reduce-transforms": "^5.0.1", + "postcss-svgo": "^5.0.3", + "postcss-unique-selectors": "^5.0.2" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/cssnano-utils": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/cssnano-utils/-/cssnano-utils-2.0.1.tgz", + "integrity": "sha512-i8vLRZTnEH9ubIyfdZCAdIdgnHAUeQeByEeQ2I7oTilvP9oHO6RScpeq3GsFUVqeB8uZgOQ9pw8utofNn32hhQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/csso": { + "version": "4.2.0", + "resolved": "https://registry.npmjs.org/csso/-/csso-4.2.0.tgz", + "integrity": "sha512-wvlcdIbf6pwKEk7vHj8/Bkc0B4ylXZruLvOgs9doS5eOsOpuodOV2zJChSpkp+pRpYQLQMeF04nr3Z68Sta9jA==", + "dev": true, + "license": "MIT", + "dependencies": { + "css-tree": "^1.1.2" + }, + "engines": { + "node": ">=8.0.0" + } + }, + "node_modules/debug": { + "version": "4.3.3", + "resolved": "https://registry.npmjs.org/debug/-/debug-4.3.3.tgz", + "integrity": "sha512-/zxw5+vh1Tfv+4Qn7a5nsbcJKPaSvCDhojn6FEl9vupwK2VCSDtEiEtqr8DFtzYFOdz63LBkxec7DYuc2jon6Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.1.2" + }, + "engines": { + "node": ">=6.0" + }, + "peerDependenciesMeta": { + "supports-color": { + "optional": true + } + } + }, + "node_modules/default-browser": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/default-browser/-/default-browser-5.2.1.tgz", + "integrity": "sha512-WY/3TUME0x3KPYdRRxEJJvXRHV4PyPoUsxtZa78lwItwRQRHhd2U9xOscaT/YTf8uCXIAjeJOFBVEh/7FtD8Xg==", + "dev": true, + "license": "MIT", + "dependencies": { + "bundle-name": "^4.1.0", + "default-browser-id": "^5.0.0" + }, + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/default-browser-id": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/default-browser-id/-/default-browser-id-5.0.0.tgz", + "integrity": "sha512-A6p/pu/6fyBcA1TRz/GqWYPViplrftcW2gZC9q79ngNCKAeR/X3gcEdXQHl4KNXV+3wgIJ1CPkJQ3IHM6lcsyA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/define-lazy-prop": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/define-lazy-prop/-/define-lazy-prop-3.0.0.tgz", + "integrity": "sha512-N+MeXYoqr3pOgn8xfyRPREN7gHakLYjhsHhWGT3fWAiL4IkAt0iDw14QiiEm2bE30c5XX5q0FtAA3CK5f9/BUg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/define-properties": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/define-properties/-/define-properties-1.1.3.tgz", + "integrity": "sha512-3MqfYKj2lLzdMSf8ZIZE/V+Zuy+BgD6f164e8K2w7dgnpKArBDerGYpM46IYYcjnkdPNMjPk9A6VFB8+3SKlXQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "object-keys": "^1.0.12" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/depd": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/depd/-/depd-2.0.0.tgz", + "integrity": "sha512-g7nH6P6dyDioJogAAGprGpCtVImJhpPk/roCzdb3fIh61/s/nPsfR6onyMwkCAR/OlC3yBC0lESvUoQEAssIrw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/destroy": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/destroy/-/destroy-1.2.0.tgz", + "integrity": "sha512-2sJGJTaXIIaR1w4iJSNoN0hnMY7Gpc/n8D4qSCJw8QqFWXf7cuAgnEHxBpweaVcPevC2l3KpjYCx3NypQQgaJg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8", + "npm": "1.2.8000 || >= 1.4.16" + } + }, + "node_modules/detect-node": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/detect-node/-/detect-node-2.1.0.tgz", + "integrity": "sha512-T0NIuQpnTvFDATNuHN5roPwSBG83rFsuO+MXXH9/3N1eFbn4wcPjttvjMLEPWJ0RGUYgQE7cGgS3tNxbqCGM7g==", + "dev": true, + "license": "MIT" + }, + "node_modules/dns-packet": { + "version": "5.6.1", + "resolved": "https://registry.npmjs.org/dns-packet/-/dns-packet-5.6.1.tgz", + "integrity": "sha512-l4gcSouhcgIKRvyy99RNVOgxXiicE+2jZoNmaNmZ6JXiGajBOJAesk1OBlJuM5k2c+eudGdLxDqXuPCKIj6kpw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@leichtgewicht/ip-codec": "^2.0.1" + }, + "engines": { + "node": ">=6" + } + }, + "node_modules/dom-serializer": { + "version": "1.3.2", + "resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-1.3.2.tgz", + "integrity": "sha512-5c54Bk5Dw4qAxNOI1pFEizPSjVsx5+bpJKmL2kPn8JhBUq2q09tTCa3mjijun2NfK78NMouDYNMBkOrPZiS+ig==", + "dev": true, + "license": "MIT", + "dependencies": { + "domelementtype": "^2.0.1", + "domhandler": "^4.2.0", + "entities": "^2.0.0" + }, + "funding": { + "url": "https://github.com/cheeriojs/dom-serializer?sponsor=1" + } + }, + "node_modules/domelementtype": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/domelementtype/-/domelementtype-2.2.0.tgz", + "integrity": "sha512-DtBMo82pv1dFtUmHyr48beiuq792Sxohr+8Hm9zoxklYPfa6n0Z3Byjj2IV7bmr2IyqClnqEQhfgHJJ5QF0R5A==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/fb55" + } + ], + "license": "BSD-2-Clause" + }, + "node_modules/domhandler": { + "version": "4.3.0", + "resolved": "https://registry.npmjs.org/domhandler/-/domhandler-4.3.0.tgz", + "integrity": "sha512-fC0aXNQXqKSFTr2wDNZDhsEYjCiYsDWl3D01kwt25hm1YIPyDGHvvi3rw+PLqHAl/m71MaiF7d5zvBr0p5UB2g==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "domelementtype": "^2.2.0" + }, + "engines": { + "node": ">= 4" + }, + "funding": { + "url": "https://github.com/fb55/domhandler?sponsor=1" + } + }, + "node_modules/domutils": { + "version": "2.8.0", + "resolved": "https://registry.npmjs.org/domutils/-/domutils-2.8.0.tgz", + "integrity": "sha512-w96Cjofp72M5IIhpjgobBimYEfoPjx1Vx0BSX9P30WBdZW2WIKU0T1Bd0kz2eNZ9ikjKgHbEyKx8BB6H1L3h3A==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "dom-serializer": "^1.0.1", + "domelementtype": "^2.2.0", + "domhandler": "^4.2.0" + }, + "funding": { + "url": "https://github.com/fb55/domutils?sponsor=1" + } + }, + "node_modules/downshift": { + "version": "6.1.7", + "resolved": "https://registry.npmjs.org/downshift/-/downshift-6.1.7.tgz", + "integrity": "sha512-cVprZg/9Lvj/uhYRxELzlu1aezRcgPWBjTvspiGTVEU64gF5pRdSRKFVLcxqsZC637cLAGMbL40JavEfWnqgNg==", + "license": "MIT", + "dependencies": { + "@babel/runtime": "^7.14.8", + "compute-scroll-into-view": "^1.0.17", + "prop-types": "^15.7.2", + "react-is": "^17.0.2", + "tslib": "^2.3.0" + }, + "peerDependencies": { + "react": ">=16.12.0" + } + }, + "node_modules/downshift/node_modules/tslib": { + "version": "2.3.1", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.3.1.tgz", + "integrity": "sha512-77EbyPPpMz+FRFRuAFlWMtmgUWGe9UOG2Z25NqCwiIjRhOf5iKGuzSe5P2w1laq+FkRy4p+PCuVkJSGkzTEKVw==", + "license": "0BSD" + }, + "node_modules/dunder-proto": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/dunder-proto/-/dunder-proto-1.0.1.tgz", + "integrity": "sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bind-apply-helpers": "^1.0.1", + "es-errors": "^1.3.0", + "gopd": "^1.2.0" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/ee-first": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/ee-first/-/ee-first-1.1.1.tgz", + "integrity": "sha1-WQxhFWsK4vTwJVcyoViyZrxWsh0= sha512-WMwm9LhRUo+WUaRN+vRuETqG89IgZphVSNkdFgeb6sS/E4OrDIN7t48CAewSHXc6C8lefD8KKfr5vY61brQlow==", + "dev": true, + "license": "MIT" + }, + "node_modules/electron-to-chromium": { + "version": "1.5.237", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.237.tgz", + "integrity": "sha512-icUt1NvfhGLar5lSWH3tHNzablaA5js3HVHacQimfP8ViEBOQv+L7DKEuHdbTZ0SKCO1ogTJTIL1Gwk9S6Qvcg==", + "dev": true, + "license": "ISC" + }, + "node_modules/emojis-list": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/emojis-list/-/emojis-list-3.0.0.tgz", + "integrity": "sha512-/kyM18EfinwXZbno9FyUGeFh87KC8HRQBQGildHZbEuRyWFOmv1U10o9BBp8XVZDVNNuQKyIGIu5ZYAAXJ0V2Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 4" + } + }, + "node_modules/encodeurl": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/encodeurl/-/encodeurl-2.0.0.tgz", + "integrity": "sha512-Q0n9HRi4m6JuGIV1eFlmvJB7ZEVxu93IrMyiMsGC0lrMJMWzRgx6WGquyfQgZVb31vhGgXnfmPNNXmxnOkRBrg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/enhanced-resolve": { + "version": "5.18.3", + "resolved": "https://registry.npmjs.org/enhanced-resolve/-/enhanced-resolve-5.18.3.tgz", + "integrity": "sha512-d4lC8xfavMeBjzGr2vECC3fsGXziXZQyJxD868h2M/mBI3PwAuODxAkLkq5HYuvrPYcUtiLzsTo8U3PgX3Ocww==", + "dev": true, + "license": "MIT", + "dependencies": { + "graceful-fs": "^4.2.4", + "tapable": "^2.2.0" + }, + "engines": { + "node": ">=10.13.0" + } + }, + "node_modules/entities": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/entities/-/entities-2.2.0.tgz", + "integrity": "sha512-p92if5Nz619I0w+akJrLZH0MX0Pb5DX39XOwQTtXSdQQOaYH03S1uIQp4mhOZtAXrxq4ViO67YTiLBo2638o9A==", + "dev": true, + "license": "BSD-2-Clause", + "funding": { + "url": "https://github.com/fb55/entities?sponsor=1" + } + }, + "node_modules/envinfo": { + "version": "7.8.1", + "resolved": "https://registry.npmjs.org/envinfo/-/envinfo-7.8.1.tgz", + "integrity": "sha512-/o+BXHmB7ocbHEAs6F2EnG0ogybVVUdkRunTT2glZU9XAaGmhqskrvKwqXuDfNjEO0LZKWdejEEpnq8aM0tOaw==", + "dev": true, + "license": "MIT", + "bin": { + "envinfo": "dist/cli.js" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/error-ex": { + "version": "1.3.2", + "resolved": "https://registry.npmjs.org/error-ex/-/error-ex-1.3.2.tgz", + "integrity": "sha512-7dFHNmqeFSEt2ZBsCriorKnn3Z2pj+fd9kmI6QoWw4//DL+icEBfc0U7qJCisqrTsKTjw4fNFy2pW9OqStD84g==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-arrayish": "^0.2.1" + } + }, + "node_modules/es-define-property": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.1.tgz", + "integrity": "sha512-e3nRfgfUZ4rNGL232gUgX06QNyyez04KdjFrF+LTRoOXmrOgFKDg4BCdsjW8EnT69eqdYGmRpJwiPVYNrCaW3g==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/es-errors": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz", + "integrity": "sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/es-module-lexer": { + "version": "1.7.0", + "resolved": "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-1.7.0.tgz", + "integrity": "sha512-jEQoCwk8hyb2AZziIOLhDqpm5+2ww5uIE6lkO/6jcOCusfk6LhMHpXXfBLXTZ7Ydyt0j4VoUQv6uGNYbdW+kBA==", + "dev": true, + "license": "MIT" + }, + "node_modules/es-object-atoms": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/es-object-atoms/-/es-object-atoms-1.1.1.tgz", + "integrity": "sha512-FGgH2h8zKNim9ljj7dankFPcICIK9Cp5bm+c2gQSYePhpaG5+esrLODihIorn+Pe6FGJzWhXQotPv73jTaldXA==", + "dev": true, + "license": "MIT", + "dependencies": { + "es-errors": "^1.3.0" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/escalade": { + "version": "3.2.0", + "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.2.0.tgz", + "integrity": "sha512-WUj2qlxaQtO4g6Pq5c29GTcWGDyd8itL8zTlipgECz3JesAiiOKotd8JU6otB3PACgG6xkJUyVhboMS+bje/jA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } + }, + "node_modules/escape-html": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/escape-html/-/escape-html-1.0.3.tgz", + "integrity": "sha1-Aljq5NPQwJdN4cFpGI7wBR0dGYg= sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow==", + "dev": true, + "license": "MIT" + }, + "node_modules/eslint-scope": { + "version": "5.1.1", + "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-5.1.1.tgz", + "integrity": "sha512-2NxwbF/hZ0KpepYN0cNbo+FN6XoK7GaHlQhgx/hIZl6Va0bF45RQOOwhLIy8lQDbuCiadSLCBnH2CFYquit5bw==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "esrecurse": "^4.3.0", + "estraverse": "^4.1.1" + }, + "engines": { + "node": ">=8.0.0" + } + }, + "node_modules/esrecurse": { + "version": "4.3.0", + "resolved": "https://registry.npmjs.org/esrecurse/-/esrecurse-4.3.0.tgz", + "integrity": "sha512-KmfKL3b6G+RXvP8N1vr3Tq1kL/oCFgn2NYXEtqP8/L3pKapUA4G8cFVaoF3SU323CD4XypR/ffioHmkti6/Tag==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "estraverse": "^5.2.0" + }, + "engines": { + "node": ">=4.0" + } + }, + "node_modules/esrecurse/node_modules/estraverse": { + "version": "5.3.0", + "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-5.3.0.tgz", + "integrity": "sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA==", + "dev": true, + "license": "BSD-2-Clause", + "engines": { + "node": ">=4.0" + } + }, + "node_modules/estraverse": { + "version": "4.3.0", + "resolved": "https://registry.npmjs.org/estraverse/-/estraverse-4.3.0.tgz", + "integrity": "sha512-39nnKffWz8xN1BU/2c79n9nB9HDzo0niYUqx6xyqUnyoAnQyyWpOTdZEeiCch8BBu515t4wp9ZmgVfVhn9EBpw==", + "dev": true, + "license": "BSD-2-Clause", + "engines": { + "node": ">=4.0" + } + }, + "node_modules/esutils": { + "version": "2.0.3", + "resolved": "https://registry.npmjs.org/esutils/-/esutils-2.0.3.tgz", + "integrity": "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g==", + "dev": true, + "license": "BSD-2-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/etag": { + "version": "1.8.1", + "resolved": "https://registry.npmjs.org/etag/-/etag-1.8.1.tgz", + "integrity": "sha1-Qa4u62XvpiJorr/qg6x9eSmbCIc= sha512-aIL5Fx7mawVa300al2BnEE4iNvo1qETxLrPI/o05L7z6go7fCw1J6EQmbK4FmJ2AS7kgVF/KEZWufBfdClMcPg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/eventemitter3": { + "version": "4.0.7", + "resolved": "https://registry.npmjs.org/eventemitter3/-/eventemitter3-4.0.7.tgz", + "integrity": "sha512-8guHBZCwKnFhYdHr2ysuRWErTwhoN2X8XELRlrRwpmfeY2jjuUN4taQMsULKUVo1K4DvZl+0pgfyoysHxvmvEw==", + "license": "MIT" + }, + "node_modules/events": { + "version": "3.3.0", + "resolved": "https://registry.npmjs.org/events/-/events-3.3.0.tgz", + "integrity": "sha512-mQw+2fkQbALzQ7V0MY0IqdnXNOeTtP4r0lN9z7AAawCXgqea7bDii20AYrIBrFd/Hx0M2Ocz6S111CaFkUcb0Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.8.x" + } + }, + "node_modules/execa": { + "version": "5.1.1", + "resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz", + "integrity": "sha512-8uSpZZocAZRBAPIEINJj3Lo9HyGitllczc27Eh5YYojjMFMn8yHMDMaUHE2Jqfq05D/wucwI4JGURyXt1vchyg==", + "dev": true, + "license": "MIT", + "dependencies": { + "cross-spawn": "^7.0.3", + "get-stream": "^6.0.0", + "human-signals": "^2.1.0", + "is-stream": "^2.0.0", + "merge-stream": "^2.0.0", + "npm-run-path": "^4.0.1", + "onetime": "^5.1.2", + "signal-exit": "^3.0.3", + "strip-final-newline": "^2.0.0" + }, + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sindresorhus/execa?sponsor=1" + } + }, + "node_modules/express": { + "version": "4.21.2", + "resolved": "https://registry.npmjs.org/express/-/express-4.21.2.tgz", + "integrity": "sha512-28HqgMZAmih1Czt9ny7qr6ek2qddF4FclbMzwhCREB6OFfH+rXAnuNCwo1/wFvrtbgsQDb4kSbX9de9lFbrXnA==", + "dev": true, + "license": "MIT", + "dependencies": { + "accepts": "~1.3.8", + "array-flatten": "1.1.1", + "body-parser": "1.20.3", + "content-disposition": "0.5.4", + "content-type": "~1.0.4", + "cookie": "0.7.1", + "cookie-signature": "1.0.6", + "debug": "2.6.9", + "depd": "2.0.0", + "encodeurl": "~2.0.0", + "escape-html": "~1.0.3", + "etag": "~1.8.1", + "finalhandler": "1.3.1", + "fresh": "0.5.2", + "http-errors": "2.0.0", + "merge-descriptors": "1.0.3", + "methods": "~1.1.2", + "on-finished": "2.4.1", + "parseurl": "~1.3.3", + "path-to-regexp": "0.1.12", + "proxy-addr": "~2.0.7", + "qs": "6.13.0", + "range-parser": "~1.2.1", + "safe-buffer": "5.2.1", + "send": "0.19.0", + "serve-static": "1.16.2", + "setprototypeof": "1.2.0", + "statuses": "2.0.1", + "type-is": "~1.6.18", + "utils-merge": "1.0.1", + "vary": "~1.1.2" + }, + "engines": { + "node": ">= 0.10.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/express" + } + }, + "node_modules/express/node_modules/debug": { + "version": "2.6.9", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.0.0" + } + }, + "node_modules/express/node_modules/ms": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", + "dev": true, + "license": "MIT" + }, + "node_modules/express/node_modules/safe-buffer": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", + "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/feross" + }, + { + "type": "patreon", + "url": "https://www.patreon.com/feross" + }, + { + "type": "consulting", + "url": "https://feross.org/support" + } + ], + "license": "MIT" + }, + "node_modules/fast-deep-equal": { + "version": "3.1.3", + "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz", + "integrity": "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==", + "dev": true, + "license": "MIT" + }, + "node_modules/fast-json-stable-stringify": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/fast-json-stable-stringify/-/fast-json-stable-stringify-2.1.0.tgz", + "integrity": "sha512-lhd/wF+Lk98HZoTCtlVraHtfh5XYijIjalXck7saUtuanSDyLMxnHhSXEDJqHxD7msR8D0uCmqlkwjCV8xvwHw==", + "dev": true, + "license": "MIT" + }, + "node_modules/fast-uri": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz", + "integrity": "sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/fastify" + }, + { + "type": "opencollective", + "url": "https://opencollective.com/fastify" + } + ], + "license": "BSD-3-Clause" + }, + "node_modules/fastest-levenshtein": { + "version": "1.0.12", + "resolved": "https://registry.npmjs.org/fastest-levenshtein/-/fastest-levenshtein-1.0.12.tgz", + "integrity": "sha512-On2N+BpYJ15xIC974QNVuYGMOlEVt4s0EOI3wwMqOmK1fdDY+FN/zltPV8vosq4ad4c/gJ1KHScUn/6AWIgiow==", + "dev": true, + "license": "MIT" + }, + "node_modules/faye-websocket": { + "version": "0.11.4", + "resolved": "https://registry.npmjs.org/faye-websocket/-/faye-websocket-0.11.4.tgz", + "integrity": "sha512-CzbClwlXAuiRQAlUyfqPgvPoNKTckTPGfwZV4ZdAhVcP2lh9KUxJg2b5GkE7XbjKQ3YJnQ9z6D9ntLAlB+tP8g==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "websocket-driver": ">=0.5.1" + }, + "engines": { + "node": ">=0.8.0" + } + }, + "node_modules/fill-range": { + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", + "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==", + "license": "MIT", + "dependencies": { + "to-regex-range": "^5.0.1" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/finalhandler": { + "version": "1.3.1", + "resolved": "https://registry.npmjs.org/finalhandler/-/finalhandler-1.3.1.tgz", + "integrity": "sha512-6BN9trH7bp3qvnrRyzsBz+g3lZxTNZTbVO2EV1CS0WIcDbawYVdYvGflME/9QP0h0pYlCDBCTjYa9nZzMDpyxQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "debug": "2.6.9", + "encodeurl": "~2.0.0", + "escape-html": "~1.0.3", + "on-finished": "2.4.1", + "parseurl": "~1.3.3", + "statuses": "2.0.1", + "unpipe": "~1.0.0" + }, + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/finalhandler/node_modules/debug": { + "version": "2.6.9", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.0.0" + } + }, + "node_modules/finalhandler/node_modules/ms": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", + "dev": true, + "license": "MIT" + }, + "node_modules/find-cache-dir": { + "version": "3.3.2", + "resolved": "https://registry.npmjs.org/find-cache-dir/-/find-cache-dir-3.3.2.tgz", + "integrity": "sha512-wXZV5emFEjrridIgED11OoUKLxiYjAcqot/NJdAkOhlJ+vGzwhOAfcG5OX1jP+S0PcjEn8bdMJv+g2jwQ3Onig==", + "dev": true, + "license": "MIT", + "dependencies": { + "commondir": "^1.0.1", + "make-dir": "^3.0.2", + "pkg-dir": "^4.1.0" + }, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/avajs/find-cache-dir?sponsor=1" + } + }, + "node_modules/find-up": { + "version": "4.1.0", + "resolved": "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz", + "integrity": "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==", + "dev": true, + "license": "MIT", + "dependencies": { + "locate-path": "^5.0.0", + "path-exists": "^4.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/follow-redirects": { + "version": "1.15.11", + "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.11.tgz", + "integrity": "sha512-deG2P0JfjrTxl50XGCDyfI97ZGVCxIpfKYmfyrQ54n5FO/0gfIES8C/Psl6kWVDolizcaaxZJnTS0QSMxvnsBQ==", + "funding": [ + { + "type": "individual", + "url": "https://github.com/sponsors/RubenVerborgh" + } + ], + "license": "MIT", + "engines": { + "node": ">=4.0" + }, + "peerDependenciesMeta": { + "debug": { + "optional": true + } + } + }, + "node_modules/forwarded": { + "version": "0.2.0", + "resolved": "https://registry.npmjs.org/forwarded/-/forwarded-0.2.0.tgz", + "integrity": "sha512-buRG0fpBtRHSTCOASe6hD258tEubFoRLb4ZNA6NxMVHNw2gOcwHo9wyablzMzOA5z9xA9L1KNjk/Nt6MT9aYow==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/fraction.js": { + "version": "4.2.0", + "resolved": "https://registry.npmjs.org/fraction.js/-/fraction.js-4.2.0.tgz", + "integrity": "sha512-MhLuK+2gUcnZe8ZHlaaINnQLl0xRIGRfcGk2yl8xoQAfHrSsL3rYu6FCmBdkdbhc9EPlwyGHewaRsvwRMJtAlA==", + "dev": true, + "license": "MIT", + "engines": { + "node": "*" + }, + "funding": { + "type": "patreon", + "url": "https://www.patreon.com/infusion" + } + }, + "node_modules/fresh": { + "version": "0.5.2", + "resolved": "https://registry.npmjs.org/fresh/-/fresh-0.5.2.tgz", + "integrity": "sha1-PYyt2Q2XZWn6g1qx+OSyOhBWBac= sha512-zJ2mQYM18rEFOudeV4GShTGIQ7RbzA7ozbU9I/XBpm7kqgMywgmylMwXHxZJmkVoYkna9d2pVXVXPdYTP9ej8Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/fsevents": { + "version": "2.3.3", + "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.3.tgz", + "integrity": "sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw==", + "dev": true, + "hasInstallScript": true, + "license": "MIT", + "optional": true, + "os": [ + "darwin" + ], + "engines": { + "node": "^8.16.0 || ^10.6.0 || >=11.0.0" + } + }, + "node_modules/function-bind": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz", + "integrity": "sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA==", + "dev": true, + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/gensync": { + "version": "1.0.0-beta.2", + "resolved": "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz", + "integrity": "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.9.0" + } + }, + "node_modules/get-intrinsic": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.3.0.tgz", + "integrity": "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bind-apply-helpers": "^1.0.2", + "es-define-property": "^1.0.1", + "es-errors": "^1.3.0", + "es-object-atoms": "^1.1.1", + "function-bind": "^1.1.2", + "get-proto": "^1.0.1", + "gopd": "^1.2.0", + "has-symbols": "^1.1.0", + "hasown": "^2.0.2", + "math-intrinsics": "^1.1.0" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/get-proto": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/get-proto/-/get-proto-1.0.1.tgz", + "integrity": "sha512-sTSfBjoXBp89JvIKIefqw7U2CCebsc74kiY6awiGogKtoSGbgjYE/G/+l9sF3MWFPNc9IcoOC4ODfKHfxFmp0g==", + "dev": true, + "license": "MIT", + "dependencies": { + "dunder-proto": "^1.0.1", + "es-object-atoms": "^1.0.0" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/get-stream": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz", + "integrity": "sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/glob-parent": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz", + "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==", + "dev": true, + "license": "ISC", + "dependencies": { + "is-glob": "^4.0.1" + }, + "engines": { + "node": ">= 6" + } + }, + "node_modules/glob-to-regexp": { + "version": "0.4.1", + "resolved": "https://registry.npmjs.org/glob-to-regexp/-/glob-to-regexp-0.4.1.tgz", + "integrity": "sha512-lkX1HJXwyMcprw/5YUZc2s7DrpAiHB21/V+E1rHUrVNokkvB6bqMzT0VfV6/86ZNabt1k14YOIaT7nDvOX3Iiw==", + "dev": true, + "license": "BSD-2-Clause" + }, + "node_modules/globals": { + "version": "11.12.0", + "resolved": "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz", + "integrity": "sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=4" + } + }, + "node_modules/gopd": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/gopd/-/gopd-1.2.0.tgz", + "integrity": "sha512-ZUKRh6/kUFoAiTAtTYPZJ3hw9wNxx+BIBOijnlG9PnrJsCcSjs1wyyD6vJpaYtgnzDrKYRSqf3OO6Rfa93xsRg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/graceful-fs": { + "version": "4.2.11", + "resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz", + "integrity": "sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ==", + "dev": true, + "license": "ISC" + }, + "node_modules/handle-thing": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/handle-thing/-/handle-thing-2.0.1.tgz", + "integrity": "sha512-9Qn4yBxelxoh2Ow62nP+Ka/kMnOXRi8BXnRaUwezLNhqelnN49xKz4F/dPP8OYLxLxq6JDtZb2i9XznUQbNPTg==", + "dev": true, + "license": "MIT" + }, + "node_modules/has": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/has/-/has-1.0.3.tgz", + "integrity": "sha512-f2dvO0VU6Oej7RkWJGrehjbzMAjFp5/VKPp5tTpWIV4JHHZK1/BxbFRtf/siA2SWTe09caDmVtYYzWEIbBS4zw==", + "dev": true, + "license": "MIT", + "dependencies": { + "function-bind": "^1.1.1" + }, + "engines": { + "node": ">= 0.4.0" + } + }, + "node_modules/has-symbols": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/has-symbols/-/has-symbols-1.1.0.tgz", + "integrity": "sha512-1cDNdwJ2Jaohmb3sg4OmKaMBwuC48sYni5HUw2DvsC8LjGTLK9h+eb1X6RyuOHe4hT0ULCW68iomhjUoKUqlPQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/hasown": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz", + "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "function-bind": "^1.1.2" + }, + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/hpack.js": { + "version": "2.1.6", + "resolved": "https://registry.npmjs.org/hpack.js/-/hpack.js-2.1.6.tgz", + "integrity": "sha1-h3dMCUnlE/QuhFdbPEVoH63ioLI= sha512-zJxVehUdMGIKsRaNt7apO2Gqp0BdqW5yaiGHXXmbpvxgBYVZnAql+BJb4RO5ad2MgpbZKn5G6nMnegrH1FcNYQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "inherits": "^2.0.1", + "obuf": "^1.0.0", + "readable-stream": "^2.0.1", + "wbuf": "^1.1.0" + } + }, + "node_modules/hpack.js/node_modules/readable-stream": { + "version": "2.3.7", + "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-2.3.7.tgz", + "integrity": "sha512-Ebho8K4jIbHAxnuxi7o42OrZgF/ZTNcsZj6nRKyUmkhLFq8CHItp/fy6hQZuZmP/n3yZ9VBUbp4zz/mX8hmYPw==", + "dev": true, + "license": "MIT", + "dependencies": { + "core-util-is": "~1.0.0", + "inherits": "~2.0.3", + "isarray": "~1.0.0", + "process-nextick-args": "~2.0.0", + "safe-buffer": "~5.1.1", + "string_decoder": "~1.1.1", + "util-deprecate": "~1.0.1" + } + }, + "node_modules/hpack.js/node_modules/string_decoder": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.1.1.tgz", + "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==", + "dev": true, + "license": "MIT", + "dependencies": { + "safe-buffer": "~5.1.0" + } + }, + "node_modules/http-deceiver": { + "version": "1.2.7", + "resolved": "https://registry.npmjs.org/http-deceiver/-/http-deceiver-1.2.7.tgz", + "integrity": "sha1-+nFolEq5pRnTN8sL7HKE3D5yPYc= sha512-LmpOGxTfbpgtGVxJrj5k7asXHCgNZp5nLfp+hWc8QQRqtb7fUy6kRY3BO1h9ddF6yIPYUARgxGOwB42DnxIaNw==", + "dev": true, + "license": "MIT" + }, + "node_modules/http-errors": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/http-errors/-/http-errors-2.0.0.tgz", + "integrity": "sha512-FtwrG/euBzaEjYeRqOgly7G0qviiXoJWnvEH2Z1plBdXgbyjv34pHTSb9zoeHMyDy33+DWy5Wt9Wo+TURtOYSQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "depd": "2.0.0", + "inherits": "2.0.4", + "setprototypeof": "1.2.0", + "statuses": "2.0.1", + "toidentifier": "1.0.1" + }, + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/http-parser-js": { + "version": "0.5.5", + "resolved": "https://registry.npmjs.org/http-parser-js/-/http-parser-js-0.5.5.tgz", + "integrity": "sha512-x+JVEkO2PoM8qqpbPbOL3cqHPwerep7OwzK7Ay+sMQjKzaKCqWvjoXm5tqMP9tXWWTnTzAjIhXg+J99XYuPhPA==", + "dev": true, + "license": "MIT" + }, + "node_modules/http-proxy": { + "version": "1.18.1", + "resolved": "https://registry.npmjs.org/http-proxy/-/http-proxy-1.18.1.tgz", + "integrity": "sha512-7mz/721AbnJwIVbnaSv1Cz3Am0ZLT/UBwkC92VlxhXv/k/BBQfM2fXElQNC27BVGr0uwUpplYPQM9LnaBMR5NQ==", + "license": "MIT", + "dependencies": { + "eventemitter3": "^4.0.0", + "follow-redirects": "^1.0.0", + "requires-port": "^1.0.0" + }, + "engines": { + "node": ">=8.0.0" + } + }, + "node_modules/http-proxy-middleware": { + "version": "2.0.9", + "resolved": "https://registry.npmjs.org/http-proxy-middleware/-/http-proxy-middleware-2.0.9.tgz", + "integrity": "sha512-c1IyJYLYppU574+YI7R4QyX2ystMtVXZwIdzazUIPIJsHuWNd+mho2j+bKoHftndicGj9yh+xjd+l0yj7VeT1Q==", + "license": "MIT", + "dependencies": { + "@types/http-proxy": "^1.17.8", + "http-proxy": "^1.18.1", + "is-glob": "^4.0.1", + "is-plain-obj": "^3.0.0", + "micromatch": "^4.0.2" + }, + "engines": { + "node": ">=12.0.0" + }, + "peerDependencies": { + "@types/express": "^4.17.13" + }, + "peerDependenciesMeta": { + "@types/express": { + "optional": true + } + } + }, + "node_modules/human-signals": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/human-signals/-/human-signals-2.1.0.tgz", + "integrity": "sha512-B4FFZ6q/T2jhhksgkbEW3HBvWIfDW85snkQgawt07S7J5QXTk6BkNV+0yAeZrM5QpMAdYlocGoljn0sJ/WQkFw==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=10.17.0" + } + }, + "node_modules/hyperdyperid": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/hyperdyperid/-/hyperdyperid-1.2.0.tgz", + "integrity": "sha512-Y93lCzHYgGWdrJ66yIktxiaGULYc6oGiABxhcO5AufBeOyoIdZF7bIfLaOrbM0iGIOXQQgxxRrFEnb+Y6w1n4A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.18" + } + }, + "node_modules/iconv-lite": { + "version": "0.4.24", + "resolved": "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz", + "integrity": "sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==", + "dev": true, + "license": "MIT", + "dependencies": { + "safer-buffer": ">= 2.1.2 < 3" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/icss-utils": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/icss-utils/-/icss-utils-5.1.0.tgz", + "integrity": "sha512-soFhflCVWLfRNOPU3iv5Z9VUdT44xFRbzjLsEzSr5AQmgqPMTHdU3PMT1Cf1ssx8fLNJDA1juftYl+PUcv3MqA==", + "dev": true, + "license": "ISC", + "engines": { + "node": "^10 || ^12 || >= 14" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/import-fresh": { + "version": "3.3.0", + "resolved": "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.0.tgz", + "integrity": "sha512-veYYhQa+D1QBKznvhUHxb8faxlrwUnxseDAbAp457E0wLNio2bOSKnjYDhMj+YiAq61xrMGhQk9iXVk5FzgQMw==", + "dev": true, + "license": "MIT", + "dependencies": { + "parent-module": "^1.0.0", + "resolve-from": "^4.0.0" + }, + "engines": { + "node": ">=6" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/import-local": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/import-local/-/import-local-3.0.3.tgz", + "integrity": "sha512-bE9iaUY3CXH8Cwfan/abDKAxe1KGT9kyGsBPqf6DMK/z0a2OzAsrukeYNgIH6cH5Xr452jb1TUL8rSfCLjZ9uA==", + "dev": true, + "license": "MIT", + "dependencies": { + "pkg-dir": "^4.2.0", + "resolve-cwd": "^3.0.0" + }, + "bin": { + "import-local-fixture": "fixtures/cli.js" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/inherits": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz", + "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==", + "dev": true, + "license": "ISC" + }, + "node_modules/interpret": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/interpret/-/interpret-2.2.0.tgz", + "integrity": "sha512-Ju0Bz/cEia55xDwUWEa8+olFpCiQoypjnQySseKtmjNrnps3P+xfpUmGr90T7yjlVJmOtybRvPXhKMbHr+fWnw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.10" + } + }, + "node_modules/ipaddr.js": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.2.0.tgz", + "integrity": "sha512-Ag3wB2o37wslZS19hZqorUnrnzSkpOVy+IiiDEiTqNubEYpYuHWIf6K4psgN2ZWKExS4xhVCrRVfb/wfW8fWJA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 10" + } + }, + "node_modules/is-absolute-url": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/is-absolute-url/-/is-absolute-url-3.0.3.tgz", + "integrity": "sha512-opmNIX7uFnS96NtPmhWQgQx6/NYFgsUXYMllcfzwWKUMwfo8kku1TvE6hkNcH+Q1ts5cMVrsY7j0bxXQDciu9Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/is-arrayish": { + "version": "0.2.1", + "resolved": "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.2.1.tgz", + "integrity": "sha1-d8mYQFJ6qOyxqLppe4BkWnqSap0= sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg==", + "dev": true, + "license": "MIT" + }, + "node_modules/is-binary-path": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/is-binary-path/-/is-binary-path-2.1.0.tgz", + "integrity": "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==", + "dev": true, + "license": "MIT", + "dependencies": { + "binary-extensions": "^2.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/is-core-module": { + "version": "2.8.0", + "resolved": "https://registry.npmjs.org/is-core-module/-/is-core-module-2.8.0.tgz", + "integrity": "sha512-vd15qHsaqrRL7dtH6QNuy0ndJmRDrS9HAM1CAiSifNUFv4x1a0CCVsj18hJ1mShxIG6T2i1sO78MkP56r0nYRw==", + "dev": true, + "license": "MIT", + "dependencies": { + "has": "^1.0.3" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/is-docker": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/is-docker/-/is-docker-3.0.0.tgz", + "integrity": "sha512-eljcgEDlEns/7AXFosB5K/2nCM4P7FQPkGc/DWLy5rmFEWvZayGrik1d9/QIY5nJ4f9YsVvBkA6kJpHn9rISdQ==", + "dev": true, + "license": "MIT", + "bin": { + "is-docker": "cli.js" + }, + "engines": { + "node": "^12.20.0 || ^14.13.1 || >=16.0.0" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/is-extglob": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz", + "integrity": "sha1-qIwCU1eR8C7TfHahueqXc8gz+MI= sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==", + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/is-glob": { + "version": "4.0.3", + "resolved": "https://registry.npmjs.org/is-glob/-/is-glob-4.0.3.tgz", + "integrity": "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==", + "license": "MIT", + "dependencies": { + "is-extglob": "^2.1.1" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/is-inside-container": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/is-inside-container/-/is-inside-container-1.0.0.tgz", + "integrity": "sha512-KIYLCCJghfHZxqjYBE7rEy0OBuTd5xCHS7tHVgvCLkx7StIoaxwNW3hCALgEUjFfeRk+MG/Qxmp/vtETEF3tRA==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-docker": "^3.0.0" + }, + "bin": { + "is-inside-container": "cli.js" + }, + "engines": { + "node": ">=14.16" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/is-network-error": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/is-network-error/-/is-network-error-1.3.0.tgz", + "integrity": "sha512-6oIwpsgRfnDiyEDLMay/GqCl3HoAtH5+RUKW29gYkL0QA+ipzpDLA16yQs7/RHCSu+BwgbJaOUqa4A99qNVQVw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=16" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/is-number": { + "version": "7.0.0", + "resolved": "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz", + "integrity": "sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==", + "license": "MIT", + "engines": { + "node": ">=0.12.0" + } + }, + "node_modules/is-plain-obj": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-3.0.0.tgz", + "integrity": "sha512-gwsOE28k+23GP1B6vFl1oVh/WOzmawBrKwo5Ev6wMKzPkaXaCDIQKzLnvsA42DRlbVTWorkgTKIviAKCWkfUwA==", + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/is-plain-object": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/is-plain-object/-/is-plain-object-2.0.4.tgz", + "integrity": "sha512-h5PpgXkWitc38BBMYawTYMWJHFZJVnBquFE57xFpjB8pJFiF6gZ+bU+WyI/yqXiFR5mdLsgYNaPe8uao6Uv9Og==", + "dev": true, + "license": "MIT", + "dependencies": { + "isobject": "^3.0.1" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/is-resolvable": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/is-resolvable/-/is-resolvable-1.1.0.tgz", + "integrity": "sha512-qgDYXFSR5WvEfuS5dMj6oTMEbrrSaM0CrFk2Yiq/gXnBvD9pMa2jGXxyhGLfvhZpuMZe18CJpFxAt3CRs42NMg==", + "dev": true, + "license": "ISC" + }, + "node_modules/is-stream": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz", + "integrity": "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/is-wsl": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/is-wsl/-/is-wsl-3.1.0.tgz", + "integrity": "sha512-UcVfVfaK4Sc4m7X3dUSoHoozQGBEFeDC+zVo06t98xe8CzHSZZBekNXH+tu0NalHolcJ/QAGqS46Hef7QXBIMw==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-inside-container": "^1.0.0" + }, + "engines": { + "node": ">=16" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/isarray": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz", + "integrity": "sha1-u5NdSFgsuhaMBoNJV6VKPgcSTxE= sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/isexe": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz", + "integrity": "sha1-6PvzdNxVb/iUehDcsFctYz8s+hA= sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw==", + "dev": true, + "license": "ISC" + }, + "node_modules/isobject": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/isobject/-/isobject-3.0.1.tgz", + "integrity": "sha1-TkMekrEalzFjaqH5yNHMvP2reN8= sha512-WhB9zCku7EGTj/HQQRz5aUQEUeoQZH2bWcltRErOpymJ4boYE6wL9Tbr23krRPSZ+C5zqNSrSw+Cc7sZZ4b7vg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/jest-worker": { + "version": "27.5.1", + "resolved": "https://registry.npmjs.org/jest-worker/-/jest-worker-27.5.1.tgz", + "integrity": "sha512-7vuh85V5cdDofPyxn58nrPjBktZo0u9x1g8WtjQol+jZDaE+fhN+cIvTj11GndBnMnyfrUOG1sZQxCdjKh+DKg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/node": "*", + "merge-stream": "^2.0.0", + "supports-color": "^8.0.0" + }, + "engines": { + "node": ">= 10.13.0" + } + }, + "node_modules/jest-worker/node_modules/has-flag": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz", + "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/jest-worker/node_modules/supports-color": { + "version": "8.1.1", + "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-8.1.1.tgz", + "integrity": "sha512-MpUEN2OodtUzxvKQl72cUF7RQ5EiHsGvSsVG0ia9c5RbWGL2CI4C7EpPS8UTBIplnlzZiNuV56w+FuNxy3ty2Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "has-flag": "^4.0.0" + }, + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/chalk/supports-color?sponsor=1" + } + }, + "node_modules/js-tokens": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz", + "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==", + "license": "MIT" + }, + "node_modules/jsesc": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-3.1.0.tgz", + "integrity": "sha512-/sM3dO2FOzXjKQhJuo0Q173wf2KOo8t4I8vHy6lF9poUp7bKT0/NHE8fPX23PwfhnykfqnC2xRxOnVw5XuGIaA==", + "dev": true, + "license": "MIT", + "bin": { + "jsesc": "bin/jsesc" + }, + "engines": { + "node": ">=6" + } + }, + "node_modules/json-parse-even-better-errors": { + "version": "2.3.1", + "resolved": "https://registry.npmjs.org/json-parse-even-better-errors/-/json-parse-even-better-errors-2.3.1.tgz", + "integrity": "sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w==", + "dev": true, + "license": "MIT" + }, + "node_modules/json-schema-traverse": { + "version": "0.4.1", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz", + "integrity": "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg==", + "dev": true, + "license": "MIT" + }, + "node_modules/json5": { + "version": "2.2.3", + "resolved": "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz", + "integrity": "sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==", + "dev": true, + "license": "MIT", + "bin": { + "json5": "lib/cli.js" + }, + "engines": { + "node": ">=6" + } + }, + "node_modules/kind-of": { + "version": "6.0.3", + "resolved": "https://registry.npmjs.org/kind-of/-/kind-of-6.0.3.tgz", + "integrity": "sha512-dcS1ul+9tmeD95T+x28/ehLgd9mENa3LsvDTtzm3vyBEO7RPptvAD+t44WVXaUjTBRcrpFeFlC8WCruUR456hw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/klona": { + "version": "2.0.5", + "resolved": "https://registry.npmjs.org/klona/-/klona-2.0.5.tgz", + "integrity": "sha512-pJiBpiXMbt7dkzXe8Ghj/u4FfXOOa98fPW+bihOJ4SjnoijweJrNThJfd3ifXpXhREjpoF2mZVH1GfS9LV3kHQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 8" + } + }, + "node_modules/launch-editor": { + "version": "2.11.1", + "resolved": "https://registry.npmjs.org/launch-editor/-/launch-editor-2.11.1.tgz", + "integrity": "sha512-SEET7oNfgSaB6Ym0jufAdCeo3meJVeCaaDyzRygy0xsp2BFKCprcfHljTq4QkzTLUxEKkFK6OK4811YM2oSrRg==", + "dev": true, + "license": "MIT", + "dependencies": { + "picocolors": "^1.1.1", + "shell-quote": "^1.8.3" + } + }, + "node_modules/lilconfig": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/lilconfig/-/lilconfig-2.0.4.tgz", + "integrity": "sha512-bfTIN7lEsiooCocSISTWXkiWJkRqtL9wYtYy+8EK3Y41qh3mpwPU0ycTOgjdY9ErwXCc8QyrQp82bdL0Xkm9yA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + } + }, + "node_modules/lines-and-columns": { + "version": "1.2.4", + "resolved": "https://registry.npmjs.org/lines-and-columns/-/lines-and-columns-1.2.4.tgz", + "integrity": "sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg==", + "dev": true, + "license": "MIT" + }, + "node_modules/loader-runner": { + "version": "4.2.0", + "resolved": "https://registry.npmjs.org/loader-runner/-/loader-runner-4.2.0.tgz", + "integrity": "sha512-92+huvxMvYlMzMt0iIOukcwYBFpkYJdpl2xsZ7LrlayO7E8SOv+JJUEK17B/dJIHAOLMfh2dZZ/Y18WgmGtYNw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6.11.5" + } + }, + "node_modules/loader-utils": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/loader-utils/-/loader-utils-2.0.4.tgz", + "integrity": "sha512-xXqpXoINfFhgua9xiqD8fPFHgkoq1mmmpE92WlDbm9rNRd/EbRb+Gqf908T2DMfuHjjJlksiK2RbHVOdD/MqSw==", + "dev": true, + "license": "MIT", + "dependencies": { + "big.js": "^5.2.2", + "emojis-list": "^3.0.0", + "json5": "^2.1.2" + }, + "engines": { + "node": ">=8.9.0" + } + }, + "node_modules/locate-path": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-5.0.0.tgz", + "integrity": "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==", + "dev": true, + "license": "MIT", + "dependencies": { + "p-locate": "^4.1.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/lodash.debounce": { + "version": "4.0.8", + "resolved": "https://registry.npmjs.org/lodash.debounce/-/lodash.debounce-4.0.8.tgz", + "integrity": "sha1-gteb/zCmfEAF/9XiUVMArZyk168= sha512-FT1yDzDYEoYWhnSGnpE/4Kj1fLZkDFyqRb7fNt6FdYOSxlUWAtp42Eh6Wb0rGIv/m9Bgo7x4GhQbm5Ys4SG5ow==", + "dev": true, + "license": "MIT" + }, + "node_modules/lodash.memoize": { + "version": "4.1.2", + "resolved": "https://registry.npmjs.org/lodash.memoize/-/lodash.memoize-4.1.2.tgz", + "integrity": "sha1-vMbEmkKihA7Zl/Mj6tpezRguC/4= sha512-t7j+NzmgnQzTAYXcsHYLgimltOV1MXHtlOWf6GjL9Kj8GK5FInw5JotxvbOs+IvV1/Dzo04/fCGfLVs7aXb4Ag==", + "dev": true, + "license": "MIT" + }, + "node_modules/lodash.uniq": { + "version": "4.5.0", + "resolved": "https://registry.npmjs.org/lodash.uniq/-/lodash.uniq-4.5.0.tgz", + "integrity": "sha1-0CJTc662Uq3BvILklFM5qEJ1R3M= sha512-xfBaXQd9ryd9dlSDvnvI0lvxfLJlYAZzXomUYzLKtUeOQvOP5piqAWuGtrhWeqaXK9hhoM/iyJc5AV+XfsX3HQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/loose-envify": { + "version": "1.4.0", + "resolved": "https://registry.npmjs.org/loose-envify/-/loose-envify-1.4.0.tgz", + "integrity": "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q==", + "license": "MIT", + "dependencies": { + "js-tokens": "^3.0.0 || ^4.0.0" + }, + "bin": { + "loose-envify": "cli.js" + } + }, + "node_modules/make-dir": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/make-dir/-/make-dir-3.1.0.tgz", + "integrity": "sha512-g3FeP20LNwhALb/6Cz6Dd4F2ngze0jz7tbzrD2wAV+o9FeNHe4rL+yK2md0J/fiSf1sa1ADhXqi5+oVwOM/eGw==", + "dev": true, + "license": "MIT", + "dependencies": { + "semver": "^6.0.0" + }, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/math-intrinsics": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz", + "integrity": "sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/mdn-data": { + "version": "2.0.14", + "resolved": "https://registry.npmjs.org/mdn-data/-/mdn-data-2.0.14.tgz", + "integrity": "sha512-dn6wd0uw5GsdswPFfsgMp5NSB0/aDe6fK94YJV/AJDYXL6HVLWBsxeq7js7Ad+mU2K9LAlwpk6kN2D5mwCPVow==", + "dev": true, + "license": "CC0-1.0" + }, + "node_modules/media-typer": { + "version": "0.3.0", + "resolved": "https://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz", + "integrity": "sha1-hxDXrwqmJvj/+hzgAWhUUmMlV0g= sha512-dq+qelQ9akHpcOl/gUVRTxVIOkAJ1wR3QAvb4RsVjS8oVoFjDGTc679wJYmUmknUF5HwMLOgb5O+a3KxfWapPQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/memfs": { + "version": "4.49.0", + "resolved": "https://registry.npmjs.org/memfs/-/memfs-4.49.0.tgz", + "integrity": "sha512-L9uC9vGuc4xFybbdOpRLoOAOq1YEBBsocCs5NVW32DfU+CZWWIn3OVF+lB8Gp4ttBVSMazwrTrjv8ussX/e3VQ==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "@jsonjoy.com/json-pack": "^1.11.0", + "@jsonjoy.com/util": "^1.9.0", + "glob-to-regex.js": "^1.0.1", + "thingies": "^2.5.0", + "tree-dump": "^1.0.3", + "tslib": "^2.0.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + } + }, + "node_modules/memfs/node_modules/@jsonjoy.com/base64": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/@jsonjoy.com/base64/-/base64-1.1.2.tgz", + "integrity": "sha512-q6XAnWQDIMA3+FTiOYajoYqySkO+JSat0ytXGSuRdq9uXE7o92gzuQwQM14xaCRlBLGq3v5miDGC4vkVTn54xA==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/@jsonjoy.com/buffers": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/@jsonjoy.com/buffers/-/buffers-1.2.0.tgz", + "integrity": "sha512-6RX+W5a+ZUY/c/7J5s5jK9UinLfJo5oWKh84fb4X0yK2q4WXEWUWZWuEMjvCb1YNUQhEAhUfr5scEGOH7jC4YQ==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/@jsonjoy.com/codegen": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/@jsonjoy.com/codegen/-/codegen-1.0.0.tgz", + "integrity": "sha512-E8Oy+08cmCf0EK/NMxpaJZmOxPqM+6iSe2S4nlSBrPZOORoDJILxtbSUEDKQyTamm/BVAhIGllOBNU79/dwf0g==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/@jsonjoy.com/json-pack": { + "version": "1.21.0", + "resolved": "https://registry.npmjs.org/@jsonjoy.com/json-pack/-/json-pack-1.21.0.tgz", + "integrity": "sha512-+AKG+R2cfZMShzrF2uQw34v3zbeDYUqnQ+jg7ORic3BGtfw9p/+N6RJbq/kkV8JmYZaINknaEQ2m0/f693ZPpg==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "@jsonjoy.com/base64": "^1.1.2", + "@jsonjoy.com/buffers": "^1.2.0", + "@jsonjoy.com/codegen": "^1.0.0", + "@jsonjoy.com/json-pointer": "^1.0.2", + "@jsonjoy.com/util": "^1.9.0", + "hyperdyperid": "^1.2.0", + "thingies": "^2.5.0", + "tree-dump": "^1.1.0" + }, + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/@jsonjoy.com/json-pointer": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/@jsonjoy.com/json-pointer/-/json-pointer-1.0.2.tgz", + "integrity": "sha512-Fsn6wM2zlDzY1U+v4Nc8bo3bVqgfNTGcn6dMgs6FjrEnt4ZCe60o6ByKRjOGlI2gow0aE/Q41QOigdTqkyK5fg==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "@jsonjoy.com/codegen": "^1.0.0", + "@jsonjoy.com/util": "^1.9.0" + }, + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/@jsonjoy.com/util": { + "version": "1.9.0", + "resolved": "https://registry.npmjs.org/@jsonjoy.com/util/-/util-1.9.0.tgz", + "integrity": "sha512-pLuQo+VPRnN8hfPqUTLTHk126wuYdXVxE6aDmjSeV4NCAgyxWbiOIeNJVtID3h1Vzpoi9m4jXezf73I6LgabgQ==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "@jsonjoy.com/buffers": "^1.0.0", + "@jsonjoy.com/codegen": "^1.0.0" + }, + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/glob-to-regex.js": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/glob-to-regex.js/-/glob-to-regex.js-1.2.0.tgz", + "integrity": "sha512-QMwlOQKU/IzqMUOAZWubUOT8Qft+Y0KQWnX9nK3ch0CJg0tTp4TvGZsTfudYKv2NzoQSyPcnA6TYeIQ3jGichQ==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/thingies": { + "version": "2.5.0", + "resolved": "https://registry.npmjs.org/thingies/-/thingies-2.5.0.tgz", + "integrity": "sha512-s+2Bwztg6PhWUD7XMfeYm5qliDdSiZm7M7n8KjTkIsm3l/2lgVRc2/Gx/v+ZX8lT4FMA+i8aQvhcWylldc+ZNw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.18" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "^2" + } + }, + "node_modules/memfs/node_modules/tree-dump": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/tree-dump/-/tree-dump-1.1.0.tgz", + "integrity": "sha512-rMuvhU4MCDbcbnleZTFezWsaZXRFemSqAM+7jPnzUl1fo9w3YEKOxAeui0fz3OI4EU4hf23iyA7uQRVko+UaBA==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=10.0" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/streamich" + }, + "peerDependencies": { + "tslib": "2" + } + }, + "node_modules/memfs/node_modules/tslib": { + "version": "2.8.1", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", + "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", + "dev": true, + "license": "0BSD" + }, + "node_modules/merge-descriptors": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/merge-descriptors/-/merge-descriptors-1.0.3.tgz", + "integrity": "sha512-gaNvAS7TZ897/rVaZ0nMtAyxNyi/pdbjbAwUpFQpN70GqnVfOiXpeUUMKRBmzXaSQ8DdTX4/0ms62r2K+hE6mQ==", + "dev": true, + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/merge-stream": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz", + "integrity": "sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w==", + "dev": true, + "license": "MIT" + }, + "node_modules/methods": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/methods/-/methods-1.1.2.tgz", + "integrity": "sha1-VSmk1nZUE07cxSZmVoNbD4Ua/O4= sha512-iclAHeNqNm68zFtnZ0e+1L2yUIdvzNoauKU4WBA3VvH/vPFieF7qfRlwUZU+DA9P9bPXIS90ulxoUoCH23sV2w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/micromatch": { + "version": "4.0.8", + "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz", + "integrity": "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA==", + "license": "MIT", + "dependencies": { + "braces": "^3.0.3", + "picomatch": "^2.3.1" + }, + "engines": { + "node": ">=8.6" + } + }, + "node_modules/mime": { + "version": "1.6.0", + "resolved": "https://registry.npmjs.org/mime/-/mime-1.6.0.tgz", + "integrity": "sha512-x0Vn8spI+wuJ1O6S7gnbaQg8Pxh4NNHb7KSINmEWKiPE4RKOplvijn+NkmYmmRgP68mc70j2EbeTFRsrswaQeg==", + "dev": true, + "license": "MIT", + "bin": { + "mime": "cli.js" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/mime-db": { + "version": "1.51.0", + "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.51.0.tgz", + "integrity": "sha512-5y8A56jg7XVQx2mbv1lu49NR4dokRnhZYTtL+KGfaa27uq4pSTXkwQkFJl4pkRMyNFz/EtYDSkiiEHx3F7UN6g==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/mime-types": { + "version": "2.1.34", + "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.34.tgz", + "integrity": "sha512-6cP692WwGIs9XXdOO4++N+7qjqv0rqxxVvJ3VHPh/Sc9mVZcQP+ZGhkKiTvWMQRr2tbHkJP/Yn7Y0npb3ZBs4A==", + "dev": true, + "license": "MIT", + "dependencies": { + "mime-db": "1.51.0" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/mimic-fn": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/mimic-fn/-/mimic-fn-2.1.0.tgz", + "integrity": "sha512-OqbOk5oEQeAZ8WXWydlu9HJjz9WVdEIvamMCcXmuqUYjTknH/sqsWvhQ3vgwKFRR1HpjvNBKQ37nbJgYzGqGcg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } + }, + "node_modules/mini-css-extract-plugin": { + "version": "2.6.0", + "resolved": "https://registry.npmjs.org/mini-css-extract-plugin/-/mini-css-extract-plugin-2.6.0.tgz", + "integrity": "sha512-ndG8nxCEnAemsg4FSgS+yNyHKgkTB4nPKqCOgh65j3/30qqC5RaSQQXMm++Y6sb6E1zRSxPkztj9fqxhS1Eo6w==", + "dev": true, + "license": "MIT", + "dependencies": { + "schema-utils": "^4.0.0" + }, + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.0.0" + } + }, + "node_modules/mini-css-extract-plugin/node_modules/ajv": { + "version": "8.8.2", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.8.2.tgz", + "integrity": "sha512-x9VuX+R/jcFj1DHo/fCp99esgGDWiHENrKxaCENuCxpoMCmAt/COCGVDwA7kleEpEzJjDnvh3yGoOuLu0Dtllw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2", + "uri-js": "^4.2.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/mini-css-extract-plugin/node_modules/ajv-keywords": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz", + "integrity": "sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3" + }, + "peerDependencies": { + "ajv": "^8.8.2" + } + }, + "node_modules/mini-css-extract-plugin/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/mini-css-extract-plugin/node_modules/schema-utils": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.0.0.tgz", + "integrity": "sha512-1edyXKgh6XnJsJSQ8mKWXnN/BVaIbFMLpouRUrXgVq7WYne5kw3MW7UPhO44uRXQSIpTSXoJbmrR2X0w9kUTyg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.9", + "ajv": "^8.8.0", + "ajv-formats": "^2.1.1", + "ajv-keywords": "^5.0.0" + }, + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/minimalistic-assert": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/minimalistic-assert/-/minimalistic-assert-1.0.1.tgz", + "integrity": "sha512-UtJcAD4yEaGtjPezWuO9wC4nwUnVH/8/Im3yEHQP4b67cXlD/Qr9hdITCU1xDbSEXg2XKNaP8jsReV7vQd00/A==", + "dev": true, + "license": "ISC" + }, + "node_modules/ms": { + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz", + "integrity": "sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w==", + "dev": true, + "license": "MIT" + }, + "node_modules/multicast-dns": { + "version": "7.2.5", + "resolved": "https://registry.npmjs.org/multicast-dns/-/multicast-dns-7.2.5.tgz", + "integrity": "sha512-2eznPJP8z2BFLX50tf0LuODrpINqP1RVIm/CObbTcBRITQgmC/TjcREF1NeTBzIcR5XO/ukWo+YHOjBbFwIupg==", + "dev": true, + "license": "MIT", + "dependencies": { + "dns-packet": "^5.2.2", + "thunky": "^1.0.2" + }, + "bin": { + "multicast-dns": "cli.js" + } + }, + "node_modules/nanoid": { + "version": "3.3.11", + "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.11.tgz", + "integrity": "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/ai" + } + ], + "license": "MIT", + "bin": { + "nanoid": "bin/nanoid.cjs" + }, + "engines": { + "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1" + } + }, + "node_modules/negotiator": { + "version": "0.6.3", + "resolved": "https://registry.npmjs.org/negotiator/-/negotiator-0.6.3.tgz", + "integrity": "sha512-+EUsqGPLsM+j/zdChZjsnX51g4XrHFOIXwfnCVPGlQk/k5giakcKsuxCObBRu6DSm9opw/O6slWbJdghQM4bBg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/neo-async": { + "version": "2.6.2", + "resolved": "https://registry.npmjs.org/neo-async/-/neo-async-2.6.2.tgz", + "integrity": "sha512-Yd3UES5mWCSqR+qNT93S3UoYUkqAZ9lLg8a7g9rimsWmYGK8cVToA4/sF3RrshdyV3sAGMXVUmpMYOw+dLpOuw==", + "dev": true, + "license": "MIT" + }, + "node_modules/node-forge": { + "version": "1.3.1", + "resolved": "https://registry.npmjs.org/node-forge/-/node-forge-1.3.1.tgz", + "integrity": "sha512-dPEtOeMvF9VMcYV/1Wb8CPoVAXtp6MKMlcbAt4ddqmGqUJ6fQZFXkNZNkNlfevtNkGtaSoXf/vNNNSvgrdXwtA==", + "dev": true, + "license": "(BSD-3-Clause OR GPL-2.0)", + "engines": { + "node": ">= 6.13.0" + } + }, + "node_modules/node-releases": { + "version": "2.0.25", + "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.25.tgz", + "integrity": "sha512-4auku8B/vw5psvTiiN9j1dAOsXvMoGqJuKJcR+dTdqiXEK20mMTk1UEo3HS16LeGQsVG6+qKTPM9u/qQ2LqATA==", + "dev": true, + "license": "MIT" + }, + "node_modules/normalize-path": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz", + "integrity": "sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/normalize-range": { + "version": "0.1.2", + "resolved": "https://registry.npmjs.org/normalize-range/-/normalize-range-0.1.2.tgz", + "integrity": "sha1-LRDAa9/TEuqXd2laTShDlFa3WUI= sha512-bdok/XvKII3nUpklnV6P2hxtMNrCboOjAcyBuQnWEhO665FwrSNRxU+AqpsyvO6LgGYPspN+lu5CLtw4jPRKNA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/normalize-url": { + "version": "6.1.0", + "resolved": "https://registry.npmjs.org/normalize-url/-/normalize-url-6.1.0.tgz", + "integrity": "sha512-DlL+XwOy3NxAQ8xuC0okPgK46iuVNAK01YN7RueYBqqFeGsBjV9XmCAzAdgt+667bCl5kPh9EqKKDwnaPG1I7A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/npm-run-path": { + "version": "4.0.1", + "resolved": "https://registry.npmjs.org/npm-run-path/-/npm-run-path-4.0.1.tgz", + "integrity": "sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==", + "dev": true, + "license": "MIT", + "dependencies": { + "path-key": "^3.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/nth-check": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/nth-check/-/nth-check-2.0.1.tgz", + "integrity": "sha512-it1vE95zF6dTT9lBsYbxvqh0Soy4SPowchj0UBGj/V6cTPnXXtQOPUbhZ6CmGzAD/rW22LQK6E96pcdJXk4A4w==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "boolbase": "^1.0.0" + }, + "funding": { + "url": "https://github.com/fb55/nth-check?sponsor=1" + } + }, + "node_modules/object-assign": { + "version": "4.1.1", + "resolved": "https://registry.npmjs.org/object-assign/-/object-assign-4.1.1.tgz", + "integrity": "sha1-IQmtx5ZYh8/AXLvUQsrIv7s2CGM= sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg==", + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/object-inspect": { + "version": "1.13.4", + "resolved": "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.4.tgz", + "integrity": "sha512-W67iLl4J2EXEGTbfeHCffrjDfitvLANg0UlX3wFUUSTx92KXRFegMHUVgSqE+wvhAbi4WqjGg9czysTV2Epbew==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/object-keys": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/object-keys/-/object-keys-1.1.1.tgz", + "integrity": "sha512-NuAESUOUMrlIXOfHKzD6bpPu3tYt3xvjNdRIQ+FeT0lNb4K8WR70CaDxhuNguS2XG+GjkyMwOzsN5ZktImfhLA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + } + }, + "node_modules/object.assign": { + "version": "4.1.2", + "resolved": "https://registry.npmjs.org/object.assign/-/object.assign-4.1.2.tgz", + "integrity": "sha512-ixT2L5THXsApyiUPYKmW+2EHpXXe5Ii3M+f4e+aJFAHao5amFRW6J0OO6c/LU8Be47utCx2GL89hxGB6XSmKuQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bind": "^1.0.0", + "define-properties": "^1.1.3", + "has-symbols": "^1.0.1", + "object-keys": "^1.1.1" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/obuf": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/obuf/-/obuf-1.1.2.tgz", + "integrity": "sha512-PX1wu0AmAdPqOL1mWhqmlOd8kOIZQwGZw6rh7uby9fTc5lhaOWFLX3I6R1hrF9k3zUY40e6igsLGkDXK92LJNg==", + "dev": true, + "license": "MIT" + }, + "node_modules/on-finished": { + "version": "2.4.1", + "resolved": "https://registry.npmjs.org/on-finished/-/on-finished-2.4.1.tgz", + "integrity": "sha512-oVlzkg3ENAhCk2zdv7IJwd/QUD4z2RxRwpkcGY8psCVcCYZNq4wYnVWALHM+brtuJjePWiYF/ClmuDr8Ch5+kg==", + "dev": true, + "license": "MIT", + "dependencies": { + "ee-first": "1.1.1" + }, + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/on-headers": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/on-headers/-/on-headers-1.1.0.tgz", + "integrity": "sha512-737ZY3yNnXy37FHkQxPzt4UZ2UWPWiCZWLvFZ4fu5cueciegX0zGPnrlY6bwRg4FdQOe9YU8MkmJwGhoMybl8A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/onetime": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/onetime/-/onetime-5.1.2.tgz", + "integrity": "sha512-kbpaSSGJTWdAY5KPVeMOKXSrPtr8C8C7wodJbcsd51jRnmD+GZu8Y0VoU6Dm5Z4vWr0Ig/1NKuWRKf7j5aaYSg==", + "dev": true, + "license": "MIT", + "dependencies": { + "mimic-fn": "^2.1.0" + }, + "engines": { + "node": ">=6" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/open": { + "version": "10.2.0", + "resolved": "https://registry.npmjs.org/open/-/open-10.2.0.tgz", + "integrity": "sha512-YgBpdJHPyQ2UE5x+hlSXcnejzAvD0b22U2OuAP+8OnlJT+PjWPxtgmGqKKc+RgTM63U9gN0YzrYc71R2WT/hTA==", + "dev": true, + "license": "MIT", + "dependencies": { + "default-browser": "^5.2.1", + "define-lazy-prop": "^3.0.0", + "is-inside-container": "^1.0.0", + "wsl-utils": "^0.1.0" + }, + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/p-limit": { + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-2.3.0.tgz", + "integrity": "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w==", + "dev": true, + "license": "MIT", + "dependencies": { + "p-try": "^2.0.0" + }, + "engines": { + "node": ">=6" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/p-locate": { + "version": "4.1.0", + "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-4.1.0.tgz", + "integrity": "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==", + "dev": true, + "license": "MIT", + "dependencies": { + "p-limit": "^2.2.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/p-retry": { + "version": "6.2.1", + "resolved": "https://registry.npmjs.org/p-retry/-/p-retry-6.2.1.tgz", + "integrity": "sha512-hEt02O4hUct5wtwg4H4KcWgDdm+l1bOaEy/hWzd8xtXB9BqxTWBBhb+2ImAtH4Cv4rPjV76xN3Zumqk3k3AhhQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/retry": "0.12.2", + "is-network-error": "^1.0.0", + "retry": "^0.13.1" + }, + "engines": { + "node": ">=16.17" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/p-try": { + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/p-try/-/p-try-2.2.0.tgz", + "integrity": "sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } + }, + "node_modules/parent-module": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/parent-module/-/parent-module-1.0.1.tgz", + "integrity": "sha512-GQ2EWRpQV8/o+Aw8YqtfZZPfNRWZYkbidE9k5rpl/hC3vtHHBfGm2Ifi6qWV+coDGkrUKZAxE3Lot5kcsRlh+g==", + "dev": true, + "license": "MIT", + "dependencies": { + "callsites": "^3.0.0" + }, + "engines": { + "node": ">=6" + } + }, + "node_modules/parse-json": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/parse-json/-/parse-json-5.2.0.tgz", + "integrity": "sha512-ayCKvm/phCGxOkYRSCM82iDwct8/EonSEgCSxWxD7ve6jHggsFl4fZVQBPRNgQoKiuV/odhFrGzQXZwbifC8Rg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/code-frame": "^7.0.0", + "error-ex": "^1.3.1", + "json-parse-even-better-errors": "^2.3.0", + "lines-and-columns": "^1.1.6" + }, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/parseurl": { + "version": "1.3.3", + "resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz", + "integrity": "sha512-CiyeOxFT/JZyN5m0z9PfXw4SCBJ6Sygz1Dpl0wqjlhDEGGBP1GnsUVEL0p63hoG1fcj3fHynXi9NYO4nWOL+qQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/path-exists": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz", + "integrity": "sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/path-key": { + "version": "3.1.1", + "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz", + "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/path-parse": { + "version": "1.0.7", + "resolved": "https://registry.npmjs.org/path-parse/-/path-parse-1.0.7.tgz", + "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==", + "dev": true, + "license": "MIT" + }, + "node_modules/path-to-regexp": { + "version": "0.1.12", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.12.tgz", + "integrity": "sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/path-type": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/path-type/-/path-type-4.0.0.tgz", + "integrity": "sha512-gDKb8aZMDeD/tZWs9P6+q0J9Mwkdl6xMV8TjnGP3qJVJ06bdMgkbBlLU8IdfOsIsFz2BW1rNVT3XuNEl8zPAvw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/picocolors": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz", + "integrity": "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==", + "dev": true, + "license": "ISC" + }, + "node_modules/picomatch": { + "version": "2.3.1", + "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz", + "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==", + "license": "MIT", + "engines": { + "node": ">=8.6" + }, + "funding": { + "url": "https://github.com/sponsors/jonschlinkert" + } + }, + "node_modules/pkg-dir": { + "version": "4.2.0", + "resolved": "https://registry.npmjs.org/pkg-dir/-/pkg-dir-4.2.0.tgz", + "integrity": "sha512-HRDzbaKjC+AOWVXxAU/x54COGeIv9eb+6CkDSQoNTt4XyWoIJvuPsXizxu/Fr23EiekbtZwmh1IcIG/l/a10GQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "find-up": "^4.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/postcss": { + "version": "8.5.6", + "resolved": "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz", + "integrity": "sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==", + "dev": true, + "funding": [ + { + "type": "opencollective", + "url": "https://opencollective.com/postcss/" + }, + { + "type": "tidelift", + "url": "https://tidelift.com/funding/github/npm/postcss" + }, + { + "type": "github", + "url": "https://github.com/sponsors/ai" + } + ], + "license": "MIT", + "dependencies": { + "nanoid": "^3.3.11", + "picocolors": "^1.1.1", + "source-map-js": "^1.2.1" + }, + "engines": { + "node": "^10 || ^12 || >=14" + } + }, + "node_modules/postcss-attribute-case-insensitive": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/postcss-attribute-case-insensitive/-/postcss-attribute-case-insensitive-5.0.0.tgz", + "integrity": "sha512-b4g9eagFGq9T5SWX4+USfVyjIb3liPnjhHHRMP7FMB2kFVpYyfEscV0wP3eaXhKlcHKUut8lt5BGoeylWA/dBQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-selector-parser": "^6.0.2" + }, + "peerDependencies": { + "postcss": "^8.0.2" + } + }, + "node_modules/postcss-calc": { + "version": "8.0.0", + "resolved": "https://registry.npmjs.org/postcss-calc/-/postcss-calc-8.0.0.tgz", + "integrity": "sha512-5NglwDrcbiy8XXfPM11F3HeC6hoT9W7GUH/Zi5U/p7u3Irv4rHhdDcIZwG0llHXV4ftsBjpfWMXAnXNl4lnt8g==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-selector-parser": "^6.0.2", + "postcss-value-parser": "^4.0.2" + }, + "peerDependencies": { + "postcss": "^8.2.2" + } + }, + "node_modules/postcss-clamp": { + "version": "4.1.0", + "resolved": "https://registry.npmjs.org/postcss-clamp/-/postcss-clamp-4.1.0.tgz", + "integrity": "sha512-ry4b1Llo/9zz+PKC+030KUnPITTJAHeOwjfAyyB60eT0AorGLdzp52s31OsPRHRf8NchkgFoG2y6fCfn1IV1Ow==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": ">=7.6.0" + }, + "peerDependencies": { + "postcss": "^8.4.6" + } + }, + "node_modules/postcss-color-functional-notation": { + "version": "4.2.2", + "resolved": "https://registry.npmjs.org/postcss-color-functional-notation/-/postcss-color-functional-notation-4.2.2.tgz", + "integrity": "sha512-DXVtwUhIk4f49KK5EGuEdgx4Gnyj6+t2jBSEmxvpIK9QI40tWrpS2Pua8Q7iIZWBrki2QOaeUdEaLPPa91K0RQ==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-color-hex-alpha": { + "version": "8.0.3", + "resolved": "https://registry.npmjs.org/postcss-color-hex-alpha/-/postcss-color-hex-alpha-8.0.3.tgz", + "integrity": "sha512-fESawWJCrBV035DcbKRPAVmy21LpoyiXdPTuHUfWJ14ZRjY7Y7PA6P4g8z6LQGYhU1WAxkTxjIjurXzoe68Glw==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-color-rebeccapurple": { + "version": "7.0.2", + "resolved": "https://registry.npmjs.org/postcss-color-rebeccapurple/-/postcss-color-rebeccapurple-7.0.2.tgz", + "integrity": "sha512-SFc3MaocHaQ6k3oZaFwH8io6MdypkUtEy/eXzXEB1vEQlO3S3oDc/FSZA8AsS04Z25RirQhlDlHLh3dn7XewWw==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.3" + } + }, + "node_modules/postcss-colormin": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/postcss-colormin/-/postcss-colormin-5.2.1.tgz", + "integrity": "sha512-VVwMrEYLcHYePUYV99Ymuoi7WhKrMGy/V9/kTS0DkCoJYmmjdOMneyhzYUxcNgteKDVbrewOkSM7Wje/MFwxzA==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.16.6", + "caniuse-api": "^3.0.0", + "colord": "^2.9.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-convert-values": { + "version": "5.0.2", + "resolved": "https://registry.npmjs.org/postcss-convert-values/-/postcss-convert-values-5.0.2.tgz", + "integrity": "sha512-KQ04E2yadmfa1LqXm7UIDwW1ftxU/QWZmz6NKnHnUvJ3LEYbbcX6i329f/ig+WnEByHegulocXrECaZGLpL8Zg==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-custom-media": { + "version": "8.0.0", + "resolved": "https://registry.npmjs.org/postcss-custom-media/-/postcss-custom-media-8.0.0.tgz", + "integrity": "sha512-FvO2GzMUaTN0t1fBULDeIvxr5IvbDXcIatt6pnJghc736nqNgsGao5NT+5+WVLAQiTt6Cb3YUms0jiPaXhL//g==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.0.0" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-custom-properties": { + "version": "12.1.5", + "resolved": "https://registry.npmjs.org/postcss-custom-properties/-/postcss-custom-properties-12.1.5.tgz", + "integrity": "sha512-FHbbB/hRo/7cxLGkc2NS7cDRIDN1oFqQnUKBiyh4b/gwk8DD8udvmRDpUhEK836kB8ggUCieHVOvZDnF9XhI3g==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-custom-selectors": { + "version": "6.0.0", + "resolved": "https://registry.npmjs.org/postcss-custom-selectors/-/postcss-custom-selectors-6.0.0.tgz", + "integrity": "sha512-/1iyBhz/W8jUepjGyu7V1OPcGbc636snN1yXEQCinb6Bwt7KxsiU7/bLQlp8GwAXzCh7cobBU5odNn/2zQWR8Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-selector-parser": "^6.0.4" + }, + "engines": { + "node": ">=10.0.0" + }, + "peerDependencies": { + "postcss": "^8.1.2" + } + }, + "node_modules/postcss-dir-pseudo-class": { + "version": "6.0.4", + "resolved": "https://registry.npmjs.org/postcss-dir-pseudo-class/-/postcss-dir-pseudo-class-6.0.4.tgz", + "integrity": "sha512-I8epwGy5ftdzNWEYok9VjW9whC4xnelAtbajGv4adql4FIF09rnrxnA9Y8xSHN47y7gqFIv10C5+ImsLeJpKBw==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-discard-comments": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-discard-comments/-/postcss-discard-comments-5.0.1.tgz", + "integrity": "sha512-lgZBPTDvWrbAYY1v5GYEv8fEO/WhKOu/hmZqmCYfrpD6eyDWWzAOsl2rF29lpvziKO02Gc5GJQtlpkTmakwOWg==", + "dev": true, + "license": "MIT", + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-discard-duplicates": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-discard-duplicates/-/postcss-discard-duplicates-5.0.1.tgz", + "integrity": "sha512-svx747PWHKOGpAXXQkCc4k/DsWo+6bc5LsVrAsw+OU+Ibi7klFZCyX54gjYzX4TH+f2uzXjRviLARxkMurA2bA==", + "dev": true, + "license": "MIT", + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-discard-empty": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-discard-empty/-/postcss-discard-empty-5.0.1.tgz", + "integrity": "sha512-vfU8CxAQ6YpMxV2SvMcMIyF2LX1ZzWpy0lqHDsOdaKKLQVQGVP1pzhrI9JlsO65s66uQTfkQBKBD/A5gp9STFw==", + "dev": true, + "license": "MIT", + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-discard-overridden": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-discard-overridden/-/postcss-discard-overridden-5.0.1.tgz", + "integrity": "sha512-Y28H7y93L2BpJhrdUR2SR2fnSsT+3TVx1NmVQLbcnZWwIUpJ7mfcTC6Za9M2PG6w8j7UQRfzxqn8jU2VwFxo3Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-double-position-gradients": { + "version": "3.1.1", + "resolved": "https://registry.npmjs.org/postcss-double-position-gradients/-/postcss-double-position-gradients-3.1.1.tgz", + "integrity": "sha512-jM+CGkTs4FcG53sMPjrrGE0rIvLDdCrqMzgDC5fLI7JHDO7o6QG8C5TQBtExb13hdBdoH9C2QVbG4jo2y9lErQ==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "@csstools/postcss-progressive-custom-properties": "^1.1.0", + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-env-function": { + "version": "4.0.6", + "resolved": "https://registry.npmjs.org/postcss-env-function/-/postcss-env-function-4.0.6.tgz", + "integrity": "sha512-kpA6FsLra+NqcFnL81TnsU+Z7orGtDTxcOhl6pwXeEq1yFPpRMkCDpHhrz8CFQDr/Wfm0jLiNQ1OsGGPjlqPwA==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-focus-visible": { + "version": "6.0.4", + "resolved": "https://registry.npmjs.org/postcss-focus-visible/-/postcss-focus-visible-6.0.4.tgz", + "integrity": "sha512-QcKuUU/dgNsstIK6HELFRT5Y3lbrMLEOwG+A4s5cA+fx3A3y/JTq3X9LaOj3OC3ALH0XqyrgQIgey/MIZ8Wczw==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-focus-within": { + "version": "5.0.4", + "resolved": "https://registry.npmjs.org/postcss-focus-within/-/postcss-focus-within-5.0.4.tgz", + "integrity": "sha512-vvjDN++C0mu8jz4af5d52CB184ogg/sSxAFS+oUJQq2SuCe7T5U2iIsVJtsCp2d6R4j0jr5+q3rPkBVZkXD9fQ==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-font-variant": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/postcss-font-variant/-/postcss-font-variant-5.0.0.tgz", + "integrity": "sha512-1fmkBaCALD72CK2a9i468mA/+tr9/1cBxRRMXOUaZqO43oWPR5imcyPjXwuv7PXbCid4ndlP5zWhidQVVa3hmA==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-gap-properties": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/postcss-gap-properties/-/postcss-gap-properties-3.0.3.tgz", + "integrity": "sha512-rPPZRLPmEKgLk/KlXMqRaNkYTUpE7YC+bOIQFN5xcu1Vp11Y4faIXv6/Jpft6FMnl6YRxZqDZG0qQOW80stzxQ==", + "dev": true, + "license": "CC0-1.0", + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-image-set-function": { + "version": "4.0.6", + "resolved": "https://registry.npmjs.org/postcss-image-set-function/-/postcss-image-set-function-4.0.6.tgz", + "integrity": "sha512-KfdC6vg53GC+vPd2+HYzsZ6obmPqOk6HY09kttU19+Gj1nC3S3XBVEXDHxkhxTohgZqzbUb94bKXvKDnYWBm/A==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-initial": { + "version": "4.0.1", + "resolved": "https://registry.npmjs.org/postcss-initial/-/postcss-initial-4.0.1.tgz", + "integrity": "sha512-0ueD7rPqX8Pn1xJIjay0AZeIuDoF+V+VvMt/uOnn+4ezUKhZM/NokDeP6DwMNyIoYByuN/94IQnt5FEkaN59xQ==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "postcss": "^8.0.0" + } + }, + "node_modules/postcss-lab-function": { + "version": "4.1.2", + "resolved": "https://registry.npmjs.org/postcss-lab-function/-/postcss-lab-function-4.1.2.tgz", + "integrity": "sha512-isudf5ldhg4fk16M8viAwAbg6Gv14lVO35N3Z/49NhbwPQ2xbiEoHgrRgpgQojosF4vF7jY653ktB6dDrUOR8Q==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "@csstools/postcss-progressive-custom-properties": "^1.1.0", + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-loader": { + "version": "6.2.1", + "resolved": "https://registry.npmjs.org/postcss-loader/-/postcss-loader-6.2.1.tgz", + "integrity": "sha512-WbbYpmAaKcux/P66bZ40bpWsBucjx/TTgVVzRZ9yUO8yQfVBlameJ0ZGVaPfH64hNSBh63a+ICP5nqOpBA0w+Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "cosmiconfig": "^7.0.0", + "klona": "^2.0.5", + "semver": "^7.3.5" + }, + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "postcss": "^7.0.0 || ^8.0.1", + "webpack": "^5.0.0" + } + }, + "node_modules/postcss-loader/node_modules/semver": { + "version": "7.7.3", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.3.tgz", + "integrity": "sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q==", + "dev": true, + "license": "ISC", + "bin": { + "semver": "bin/semver.js" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/postcss-logical": { + "version": "5.0.4", + "resolved": "https://registry.npmjs.org/postcss-logical/-/postcss-logical-5.0.4.tgz", + "integrity": "sha512-RHXxplCeLh9VjinvMrZONq7im4wjWGlRJAqmAVLXyZaXwfDWP73/oq4NdIp+OZwhQUMj0zjqDfM5Fj7qby+B4g==", + "dev": true, + "license": "CC0-1.0", + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-media-minmax": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/postcss-media-minmax/-/postcss-media-minmax-5.0.0.tgz", + "integrity": "sha512-yDUvFf9QdFZTuCUg0g0uNSHVlJ5X1lSzDZjPSFaiCWvjgsvu8vEVxtahPrLMinIDEEGnx6cBe6iqdx5YWz08wQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.0.0" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-merge-longhand": { + "version": "5.0.4", + "resolved": "https://registry.npmjs.org/postcss-merge-longhand/-/postcss-merge-longhand-5.0.4.tgz", + "integrity": "sha512-2lZrOVD+d81aoYkZDpWu6+3dTAAGkCKbV5DoRhnIR7KOULVrI/R7bcMjhrH9KTRy6iiHKqmtG+n/MMj1WmqHFw==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0", + "stylehacks": "^5.0.1" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-merge-rules": { + "version": "5.0.3", + "resolved": "https://registry.npmjs.org/postcss-merge-rules/-/postcss-merge-rules-5.0.3.tgz", + "integrity": "sha512-cEKTMEbWazVa5NXd8deLdCnXl+6cYG7m2am+1HzqH0EnTdy8fRysatkaXb2dEnR+fdaDxTvuZ5zoBdv6efF6hg==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.16.6", + "caniuse-api": "^3.0.0", + "cssnano-utils": "^2.0.1", + "postcss-selector-parser": "^6.0.5" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-minify-font-values": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-minify-font-values/-/postcss-minify-font-values-5.0.1.tgz", + "integrity": "sha512-7JS4qIsnqaxk+FXY1E8dHBDmraYFWmuL6cgt0T1SWGRO5bzJf8sUoelwa4P88LEWJZweHevAiDKxHlofuvtIoA==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-minify-gradients": { + "version": "5.0.3", + "resolved": "https://registry.npmjs.org/postcss-minify-gradients/-/postcss-minify-gradients-5.0.3.tgz", + "integrity": "sha512-Z91Ol22nB6XJW+5oe31+YxRsYooxOdFKcbOqY/V8Fxse1Y3vqlNRpi1cxCqoACZTQEhl+xvt4hsbWiV5R+XI9Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "colord": "^2.9.1", + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-minify-params": { + "version": "5.0.2", + "resolved": "https://registry.npmjs.org/postcss-minify-params/-/postcss-minify-params-5.0.2.tgz", + "integrity": "sha512-qJAPuBzxO1yhLad7h2Dzk/F7n1vPyfHfCCh5grjGfjhi1ttCnq4ZXGIW77GSrEbh9Hus9Lc/e/+tB4vh3/GpDg==", + "dev": true, + "license": "MIT", + "dependencies": { + "alphanum-sort": "^1.0.2", + "browserslist": "^4.16.6", + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-minify-selectors": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/postcss-minify-selectors/-/postcss-minify-selectors-5.1.0.tgz", + "integrity": "sha512-NzGBXDa7aPsAcijXZeagnJBKBPMYLaJJzB8CQh6ncvyl2sIndLVWfbcDi0SBjRWk5VqEjXvf8tYwzoKf4Z07og==", + "dev": true, + "license": "MIT", + "dependencies": { + "alphanum-sort": "^1.0.2", + "postcss-selector-parser": "^6.0.5" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-modules-extract-imports": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/postcss-modules-extract-imports/-/postcss-modules-extract-imports-3.0.0.tgz", + "integrity": "sha512-bdHleFnP3kZ4NYDhuGlVK+CMrQ/pqUm8bx/oGL93K6gVwiclvX5x0n76fYMKuIGKzlABOy13zsvqjb0f92TEXw==", + "dev": true, + "license": "ISC", + "engines": { + "node": "^10 || ^12 || >= 14" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-modules-local-by-default": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/postcss-modules-local-by-default/-/postcss-modules-local-by-default-4.0.0.tgz", + "integrity": "sha512-sT7ihtmGSF9yhm6ggikHdV0hlziDTX7oFoXtuVWeDd3hHObNkcHRo9V3yg7vCAY7cONyxJC/XXCmmiHHcvX7bQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "icss-utils": "^5.0.0", + "postcss-selector-parser": "^6.0.2", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >= 14" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-modules-scope": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/postcss-modules-scope/-/postcss-modules-scope-3.0.0.tgz", + "integrity": "sha512-hncihwFA2yPath8oZ15PZqvWGkWf+XUfQgUGamS4LqoP1anQLOsOJw0vr7J7IwLpoY9fatA2qiGUGmuZL0Iqlg==", + "dev": true, + "license": "ISC", + "dependencies": { + "postcss-selector-parser": "^6.0.4" + }, + "engines": { + "node": "^10 || ^12 || >= 14" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-modules-values": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/postcss-modules-values/-/postcss-modules-values-4.0.0.tgz", + "integrity": "sha512-RDxHkAiEGI78gS2ofyvCsu7iycRv7oqw5xMWn9iMoR0N/7mf9D50ecQqUo5BZ9Zh2vH4bCUR/ktCqbB9m8vJjQ==", + "dev": true, + "license": "ISC", + "dependencies": { + "icss-utils": "^5.0.0" + }, + "engines": { + "node": "^10 || ^12 || >= 14" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-nesting": { + "version": "10.1.3", + "resolved": "https://registry.npmjs.org/postcss-nesting/-/postcss-nesting-10.1.3.tgz", + "integrity": "sha512-wUC+/YCik4wH3StsbC5fBG1s2Z3ZV74vjGqBFYtmYKlVxoio5TYGM06AiaKkQPPlkXWn72HKfS7Cw5PYxnoXSw==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-normalize-charset": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-charset/-/postcss-normalize-charset-5.0.1.tgz", + "integrity": "sha512-6J40l6LNYnBdPSk+BHZ8SF+HAkS4q2twe5jnocgd+xWpz/mx/5Sa32m3W1AA8uE8XaXN+eg8trIlfu8V9x61eg==", + "dev": true, + "license": "MIT", + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-display-values": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-display-values/-/postcss-normalize-display-values-5.0.1.tgz", + "integrity": "sha512-uupdvWk88kLDXi5HEyI9IaAJTE3/Djbcrqq8YgjvAVuzgVuqIk3SuJWUisT2gaJbZm1H9g5k2w1xXilM3x8DjQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-positions": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-positions/-/postcss-normalize-positions-5.0.1.tgz", + "integrity": "sha512-rvzWAJai5xej9yWqlCb1OWLd9JjW2Ex2BCPzUJrbaXmtKtgfL8dBMOOMTX6TnvQMtjk3ei1Lswcs78qKO1Skrg==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-repeat-style": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-repeat-style/-/postcss-normalize-repeat-style-5.0.1.tgz", + "integrity": "sha512-syZ2itq0HTQjj4QtXZOeefomckiV5TaUO6ReIEabCh3wgDs4Mr01pkif0MeVwKyU/LHEkPJnpwFKRxqWA/7O3w==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-string": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-string/-/postcss-normalize-string-5.0.1.tgz", + "integrity": "sha512-Ic8GaQ3jPMVl1OEn2U//2pm93AXUcF3wz+OriskdZ1AOuYV25OdgS7w9Xu2LO5cGyhHCgn8dMXh9bO7vi3i9pA==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-timing-functions": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-timing-functions/-/postcss-normalize-timing-functions-5.0.1.tgz", + "integrity": "sha512-cPcBdVN5OsWCNEo5hiXfLUnXfTGtSFiBU9SK8k7ii8UD7OLuznzgNRYkLZow11BkQiiqMcgPyh4ZqXEEUrtQ1Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-unicode": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-unicode/-/postcss-normalize-unicode-5.0.1.tgz", + "integrity": "sha512-kAtYD6V3pK0beqrU90gpCQB7g6AOfP/2KIPCVBKJM2EheVsBQmx/Iof+9zR9NFKLAx4Pr9mDhogB27pmn354nA==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.16.0", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-url": { + "version": "5.0.3", + "resolved": "https://registry.npmjs.org/postcss-normalize-url/-/postcss-normalize-url-5.0.3.tgz", + "integrity": "sha512-qWiUMbvkRx3kc1Dp5opzUwc7MBWZcSDK2yofCmdvFBCpx+zFPkxBC1FASQ59Pt+flYfj/nTZSkmF56+XG5elSg==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-absolute-url": "^3.0.3", + "normalize-url": "^6.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-normalize-whitespace": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-normalize-whitespace/-/postcss-normalize-whitespace-5.0.1.tgz", + "integrity": "sha512-iPklmI5SBnRvwceb/XH568yyzK0qRVuAG+a1HFUsFRf11lEJTiQQa03a4RSCQvLKdcpX7XsI1Gen9LuLoqwiqA==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-opacity-percentage": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/postcss-opacity-percentage/-/postcss-opacity-percentage-1.1.2.tgz", + "integrity": "sha512-lyUfF7miG+yewZ8EAk9XUBIlrHyUE6fijnesuz+Mj5zrIHIEw6KcIZSOk/elVMqzLvREmXB83Zi/5QpNRYd47w==", + "dev": true, + "funding": [ + { + "type": "kofi", + "url": "https://ko-fi.com/mrcgrtz" + }, + { + "type": "liberapay", + "url": "https://liberapay.com/mrcgrtz" + } + ], + "license": "MIT", + "engines": { + "node": "^12 || ^14 || >=16" + } + }, + "node_modules/postcss-ordered-values": { + "version": "5.0.2", + "resolved": "https://registry.npmjs.org/postcss-ordered-values/-/postcss-ordered-values-5.0.2.tgz", + "integrity": "sha512-8AFYDSOYWebJYLyJi3fyjl6CqMEG/UVworjiyK1r573I56kb3e879sCJLGvR3merj+fAdPpVplXKQZv+ey6CgQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-overflow-shorthand": { + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/postcss-overflow-shorthand/-/postcss-overflow-shorthand-3.0.3.tgz", + "integrity": "sha512-CxZwoWup9KXzQeeIxtgOciQ00tDtnylYIlJBBODqkgS/PU2jISuWOL/mYLHmZb9ZhZiCaNKsCRiLp22dZUtNsg==", + "dev": true, + "license": "CC0-1.0", + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-page-break": { + "version": "3.0.4", + "resolved": "https://registry.npmjs.org/postcss-page-break/-/postcss-page-break-3.0.4.tgz", + "integrity": "sha512-1JGu8oCjVXLa9q9rFTo4MbeeA5FMe00/9C7lN4va606Rdb+HkxXtXsmEDrIraQ11fGz/WvKWa8gMuCKkrXpTsQ==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "postcss": "^8" + } + }, + "node_modules/postcss-place": { + "version": "7.0.4", + "resolved": "https://registry.npmjs.org/postcss-place/-/postcss-place-7.0.4.tgz", + "integrity": "sha512-MrgKeiiu5OC/TETQO45kV3npRjOFxEHthsqGtkh3I1rPbZSbXGD/lZVi9j13cYh+NA8PIAPyk6sGjT9QbRyvSg==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-preset-env": { + "version": "7.4.3", + "resolved": "https://registry.npmjs.org/postcss-preset-env/-/postcss-preset-env-7.4.3.tgz", + "integrity": "sha512-dlPA65g9KuGv7YsmGyCKtFkZKCPLkoVMUE3omOl6yM+qrynVHxFvf0tMuippIrXB/sB/MyhL1FgTIbrO+qMERg==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "@csstools/postcss-color-function": "^1.0.3", + "@csstools/postcss-font-format-keywords": "^1.0.0", + "@csstools/postcss-hwb-function": "^1.0.0", + "@csstools/postcss-ic-unit": "^1.0.0", + "@csstools/postcss-is-pseudo-class": "^2.0.1", + "@csstools/postcss-normalize-display-values": "^1.0.0", + "@csstools/postcss-oklab-function": "^1.0.2", + "@csstools/postcss-progressive-custom-properties": "^1.3.0", + "autoprefixer": "^10.4.4", + "browserslist": "^4.20.2", + "css-blank-pseudo": "^3.0.3", + "css-has-pseudo": "^3.0.4", + "css-prefers-color-scheme": "^6.0.3", + "cssdb": "^6.5.0", + "postcss-attribute-case-insensitive": "^5.0.0", + "postcss-clamp": "^4.1.0", + "postcss-color-functional-notation": "^4.2.2", + "postcss-color-hex-alpha": "^8.0.3", + "postcss-color-rebeccapurple": "^7.0.2", + "postcss-custom-media": "^8.0.0", + "postcss-custom-properties": "^12.1.5", + "postcss-custom-selectors": "^6.0.0", + "postcss-dir-pseudo-class": "^6.0.4", + "postcss-double-position-gradients": "^3.1.1", + "postcss-env-function": "^4.0.6", + "postcss-focus-visible": "^6.0.4", + "postcss-focus-within": "^5.0.4", + "postcss-font-variant": "^5.0.0", + "postcss-gap-properties": "^3.0.3", + "postcss-image-set-function": "^4.0.6", + "postcss-initial": "^4.0.1", + "postcss-lab-function": "^4.1.2", + "postcss-logical": "^5.0.4", + "postcss-media-minmax": "^5.0.0", + "postcss-nesting": "^10.1.3", + "postcss-opacity-percentage": "^1.1.2", + "postcss-overflow-shorthand": "^3.0.3", + "postcss-page-break": "^3.0.4", + "postcss-place": "^7.0.4", + "postcss-pseudo-class-any-link": "^7.1.1", + "postcss-replace-overflow-wrap": "^4.0.0", + "postcss-selector-not": "^5.0.0", + "postcss-value-parser": "^4.2.0" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-pseudo-class-any-link": { + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/postcss-pseudo-class-any-link/-/postcss-pseudo-class-any-link-7.1.1.tgz", + "integrity": "sha512-JRoLFvPEX/1YTPxRxp1JO4WxBVXJYrSY7NHeak5LImwJ+VobFMwYDQHvfTXEpcn+7fYIeGkC29zYFhFWIZD8fg==", + "dev": true, + "license": "CC0-1.0", + "dependencies": { + "postcss-selector-parser": "^6.0.9" + }, + "engines": { + "node": "^12 || ^14 || >=16" + }, + "peerDependencies": { + "postcss": "^8.4" + } + }, + "node_modules/postcss-reduce-initial": { + "version": "5.0.2", + "resolved": "https://registry.npmjs.org/postcss-reduce-initial/-/postcss-reduce-initial-5.0.2.tgz", + "integrity": "sha512-v/kbAAQ+S1V5v9TJvbGkV98V2ERPdU6XvMcKMjqAlYiJ2NtsHGlKYLPjWWcXlaTKNxooId7BGxeraK8qXvzKtw==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.16.6", + "caniuse-api": "^3.0.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-reduce-transforms": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/postcss-reduce-transforms/-/postcss-reduce-transforms-5.0.1.tgz", + "integrity": "sha512-a//FjoPeFkRuAguPscTVmRQUODP+f3ke2HqFNgGPwdYnpeC29RZdCBvGRGTsKpMURb/I3p6jdKoBQ2zI+9Q7kA==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssnano-utils": "^2.0.1", + "postcss-value-parser": "^4.1.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-replace-overflow-wrap": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/postcss-replace-overflow-wrap/-/postcss-replace-overflow-wrap-4.0.0.tgz", + "integrity": "sha512-KmF7SBPphT4gPPcKZc7aDkweHiKEEO8cla/GjcBK+ckKxiZslIu3C4GCRW3DNfL0o7yW7kMQu9xlZ1kXRXLXtw==", + "dev": true, + "license": "MIT", + "peerDependencies": { + "postcss": "^8.0.3" + } + }, + "node_modules/postcss-selector-not": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/postcss-selector-not/-/postcss-selector-not-5.0.0.tgz", + "integrity": "sha512-/2K3A4TCP9orP4TNS7u3tGdRFVKqz/E6pX3aGnriPG0jU78of8wsUcqE4QAhWEU0d+WnMSF93Ah3F//vUtK+iQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "balanced-match": "^1.0.0" + }, + "peerDependencies": { + "postcss": "^8.1.0" + } + }, + "node_modules/postcss-selector-parser": { + "version": "6.0.10", + "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.10.tgz", + "integrity": "sha512-IQ7TZdoaqbT+LCpShg46jnZVlhWD2w6iQYAcYXfHARZ7X1t/UGhhceQDs5X0cGqKvYlHNOuv7Oa1xmb0oQuA3w==", + "dev": true, + "license": "MIT", + "dependencies": { + "cssesc": "^3.0.0", + "util-deprecate": "^1.0.2" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/postcss-svgo": { + "version": "5.0.3", + "resolved": "https://registry.npmjs.org/postcss-svgo/-/postcss-svgo-5.0.3.tgz", + "integrity": "sha512-41XZUA1wNDAZrQ3XgWREL/M2zSw8LJPvb5ZWivljBsUQAGoEKMYm6okHsTjJxKYI4M75RQEH4KYlEM52VwdXVA==", + "dev": true, + "license": "MIT", + "dependencies": { + "postcss-value-parser": "^4.1.0", + "svgo": "^2.7.0" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-unique-selectors": { + "version": "5.0.2", + "resolved": "https://registry.npmjs.org/postcss-unique-selectors/-/postcss-unique-selectors-5.0.2.tgz", + "integrity": "sha512-w3zBVlrtZm7loQWRPVC0yjUwwpty7OM6DnEHkxcSQXO1bMS3RJ+JUS5LFMSDZHJcvGsRwhZinCWVqn8Kej4EDA==", + "dev": true, + "license": "MIT", + "dependencies": { + "alphanum-sort": "^1.0.2", + "postcss-selector-parser": "^6.0.5" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/postcss-value-parser": { + "version": "4.2.0", + "resolved": "https://registry.npmjs.org/postcss-value-parser/-/postcss-value-parser-4.2.0.tgz", + "integrity": "sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/preact": { + "version": "10.7.0", + "resolved": "https://registry.npmjs.org/preact/-/preact-10.7.0.tgz", + "integrity": "sha512-9MEURwzNMKpAil/t6+wabDIJI6oG6GnwypYxiJDvQnW+fHDTt51PYuLZ1QUM31hFr7sDaj9qTaShAF9VIxuxGQ==", + "license": "MIT", + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/preact" + } + }, + "node_modules/process-nextick-args": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/process-nextick-args/-/process-nextick-args-2.0.1.tgz", + "integrity": "sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==", + "dev": true, + "license": "MIT" + }, + "node_modules/prop-types": { + "version": "15.7.2", + "resolved": "https://registry.npmjs.org/prop-types/-/prop-types-15.7.2.tgz", + "integrity": "sha512-8QQikdH7//R2vurIJSutZ1smHYTcLpRWEOlHnzcWHmBYrOGUysKwSsrC89BCiFj3CbrfJ/nXFdJepOVrY1GCHQ==", + "license": "MIT", + "dependencies": { + "loose-envify": "^1.4.0", + "object-assign": "^4.1.1", + "react-is": "^16.8.1" + } + }, + "node_modules/prop-types/node_modules/react-is": { + "version": "16.13.1", + "resolved": "https://registry.npmjs.org/react-is/-/react-is-16.13.1.tgz", + "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ==", + "license": "MIT" + }, + "node_modules/proxy-addr": { + "version": "2.0.7", + "resolved": "https://registry.npmjs.org/proxy-addr/-/proxy-addr-2.0.7.tgz", + "integrity": "sha512-llQsMLSUDUPT44jdrU/O37qlnifitDP+ZwrmmZcoSKyLKvtZxpyV0n2/bD/N4tBAAZ/gJEdZU7KMraoK1+XYAg==", + "dev": true, + "license": "MIT", + "dependencies": { + "forwarded": "0.2.0", + "ipaddr.js": "1.9.1" + }, + "engines": { + "node": ">= 0.10" + } + }, + "node_modules/proxy-addr/node_modules/ipaddr.js": { + "version": "1.9.1", + "resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-1.9.1.tgz", + "integrity": "sha512-0KI/607xoxSToH7GjN1FfSbLoU0+btTicjsQSWQlh/hZykN8KpmMf7uYwPW3R+akZ6R/w18ZlXSHBYXiYUPO3g==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.10" + } + }, + "node_modules/punycode": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.1.1.tgz", + "integrity": "sha512-XRsRjdf+j5ml+y/6GKHPZbrF/8p2Yga0JPtdqTIY2Xe5ohJPD9saDJJLPvp9+NSBprVvevdXZybnj2cv8OEd0A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } + }, + "node_modules/qs": { + "version": "6.13.0", + "resolved": "https://registry.npmjs.org/qs/-/qs-6.13.0.tgz", + "integrity": "sha512-+38qI9SOr8tfZ4QmJNplMUxqjbe7LKvvZgWdExBOmd+egZTtjLB67Gu0HRX3u/XOq7UU2Nx6nsjvS16Z9uwfpg==", + "dev": true, + "license": "BSD-3-Clause", + "dependencies": { + "side-channel": "^1.0.6" + }, + "engines": { + "node": ">=0.6" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/randombytes": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/randombytes/-/randombytes-2.1.0.tgz", + "integrity": "sha512-vYl3iOX+4CKUWuxGi9Ukhie6fsqXqS9FE2Zaic4tNFD2N2QQaXOMFbuKK4QmDHC0JO6B1Zp41J0LpT0oR68amQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "safe-buffer": "^5.1.0" + } + }, + "node_modules/range-parser": { + "version": "1.2.1", + "resolved": "https://registry.npmjs.org/range-parser/-/range-parser-1.2.1.tgz", + "integrity": "sha512-Hrgsx+orqoygnmhFbKaHE6c296J+HTAQXoxEF6gNupROmmGJRoyzfG3ccAveqCBrwr/2yxQ5BVd/GTl5agOwSg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/raw-body": { + "version": "2.5.2", + "resolved": "https://registry.npmjs.org/raw-body/-/raw-body-2.5.2.tgz", + "integrity": "sha512-8zGqypfENjCIqGhgXToC8aB2r7YrBX+AQAfIPs/Mlk+BtPTztOvTS01NRW/3Eh60J+a48lt8qsCzirQ6loCVfA==", + "dev": true, + "license": "MIT", + "dependencies": { + "bytes": "3.1.2", + "http-errors": "2.0.0", + "iconv-lite": "0.4.24", + "unpipe": "1.0.0" + }, + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/react": { + "version": "17.0.2", + "resolved": "https://registry.npmjs.org/react/-/react-17.0.2.tgz", + "integrity": "sha512-gnhPt75i/dq/z3/6q/0asP78D0u592D5L1pd7M8P+dck6Fu/jJeL6iVVK23fptSUZj8Vjf++7wXA8UNclGQcbA==", + "license": "MIT", + "dependencies": { + "loose-envify": "^1.1.0", + "object-assign": "^4.1.1" + }, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/react-dom": { + "version": "17.0.2", + "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-17.0.2.tgz", + "integrity": "sha512-s4h96KtLDUQlsENhMn1ar8t2bEa+q/YAtj8pPPdIjPDGBDIVNsrD9aXNWqspUe6AzKCIG0C1HZZLqLV7qpOBGA==", + "license": "MIT", + "dependencies": { + "loose-envify": "^1.1.0", + "object-assign": "^4.1.1", + "scheduler": "^0.20.2" + }, + "peerDependencies": { + "react": "17.0.2" + } + }, + "node_modules/react-is": { + "version": "17.0.2", + "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz", + "integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==", + "license": "MIT" + }, + "node_modules/readable-stream": { + "version": "3.6.0", + "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.0.tgz", + "integrity": "sha512-BViHy7LKeTz4oNnkcLJ+lVSL6vpiFeX6/d3oSH8zCW7UxP2onchk+vTGB143xuFjHS3deTgkKoXXymXqymiIdA==", + "dev": true, + "license": "MIT", + "dependencies": { + "inherits": "^2.0.3", + "string_decoder": "^1.1.1", + "util-deprecate": "^1.0.1" + }, + "engines": { + "node": ">= 6" + } + }, + "node_modules/readdirp": { + "version": "3.6.0", + "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz", + "integrity": "sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA==", + "dev": true, + "license": "MIT", + "dependencies": { + "picomatch": "^2.2.1" + }, + "engines": { + "node": ">=8.10.0" + } + }, + "node_modules/rechoir": { + "version": "0.7.1", + "resolved": "https://registry.npmjs.org/rechoir/-/rechoir-0.7.1.tgz", + "integrity": "sha512-/njmZ8s1wVeR6pjTZ+0nCnv8SpZNRMT2D1RLOJQESlYFDBvwpTA4KWJpZ+sBJ4+vhjILRcK7JIFdGCdxEAAitg==", + "dev": true, + "license": "MIT", + "dependencies": { + "resolve": "^1.9.0" + }, + "engines": { + "node": ">= 0.10" + } + }, + "node_modules/regenerate": { + "version": "1.4.2", + "resolved": "https://registry.npmjs.org/regenerate/-/regenerate-1.4.2.tgz", + "integrity": "sha512-zrceR/XhGYU/d/opr2EKO7aRHUeiBI8qjtfHqADTwZd6Szfy16la6kqD0MIUs5z5hx6AaKa+PixpPrR289+I0A==", + "dev": true, + "license": "MIT" + }, + "node_modules/regenerate-unicode-properties": { + "version": "10.0.1", + "resolved": "https://registry.npmjs.org/regenerate-unicode-properties/-/regenerate-unicode-properties-10.0.1.tgz", + "integrity": "sha512-vn5DU6yg6h8hP/2OkQo3K7uVILvY4iu0oI4t3HFa81UPkhGJwkRwM10JEc3upjdhHjs/k8GJY1sRBhk5sr69Bw==", + "dev": true, + "license": "MIT", + "dependencies": { + "regenerate": "^1.4.2" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/regenerator-transform": { + "version": "0.14.5", + "resolved": "https://registry.npmjs.org/regenerator-transform/-/regenerator-transform-0.14.5.tgz", + "integrity": "sha512-eOf6vka5IO151Jfsw2NO9WpGX58W6wWmefK3I1zEGr0lOD0u8rwPaNqQL1aRxUaxLeKO3ArNh3VYg1KbaD+FFw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@babel/runtime": "^7.8.4" + } + }, + "node_modules/regexpu-core": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/regexpu-core/-/regexpu-core-5.0.1.tgz", + "integrity": "sha512-CriEZlrKK9VJw/xQGJpQM5rY88BtuL8DM+AEwvcThHilbxiTAy8vq4iJnd2tqq8wLmjbGZzP7ZcKFjbGkmEFrw==", + "dev": true, + "license": "MIT", + "dependencies": { + "regenerate": "^1.4.2", + "regenerate-unicode-properties": "^10.0.1", + "regjsgen": "^0.6.0", + "regjsparser": "^0.8.2", + "unicode-match-property-ecmascript": "^2.0.0", + "unicode-match-property-value-ecmascript": "^2.0.0" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/regjsgen": { + "version": "0.6.0", + "resolved": "https://registry.npmjs.org/regjsgen/-/regjsgen-0.6.0.tgz", + "integrity": "sha512-ozE883Uigtqj3bx7OhL1KNbCzGyW2NQZPl6Hs09WTvCuZD5sTI4JY58bkbQWa/Y9hxIsvJ3M8Nbf7j54IqeZbA==", + "dev": true, + "license": "MIT" + }, + "node_modules/regjsparser": { + "version": "0.8.4", + "resolved": "https://registry.npmjs.org/regjsparser/-/regjsparser-0.8.4.tgz", + "integrity": "sha512-J3LABycON/VNEu3abOviqGHuB/LOtOQj8SKmfP9anY5GfAVw/SPjwzSjxGjbZXIxbGfqTHtJw58C2Li/WkStmA==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "jsesc": "~0.5.0" + }, + "bin": { + "regjsparser": "bin/parser" + } + }, + "node_modules/regjsparser/node_modules/jsesc": { + "version": "0.5.0", + "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-0.5.0.tgz", + "integrity": "sha1-597mbjXW/Bb3EP6R1c9p9w8IkR0= sha512-uZz5UnB7u4T9LvwmFqXii7pZSouaRPorGs5who1Ip7VO0wxanFvBL7GkM6dTHlgX+jhBApRetaWpnDabOeTcnA==", + "dev": true, + "bin": { + "jsesc": "bin/jsesc" + } + }, + "node_modules/require-from-string": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/require-from-string/-/require-from-string-2.0.2.tgz", + "integrity": "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/requires-port": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz", + "integrity": "sha1-kl0mAdOaxIXgkc8NpcbmlNw9yv8= sha512-KigOCHcocU3XODJxsu8i/j8T9tzT4adHiecwORRQ0ZZFcp7ahwXuRU1m+yuO90C5ZUyGeGfocHDI14M3L3yDAQ==", + "license": "MIT" + }, + "node_modules/resolve": { + "version": "1.20.0", + "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.20.0.tgz", + "integrity": "sha512-wENBPt4ySzg4ybFQW2TT1zMQucPK95HSh/nq2CFTZVOGut2+pQvSsgtda4d26YrYcr067wjbmzOG8byDPBX63A==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-core-module": "^2.2.0", + "path-parse": "^1.0.6" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/resolve-cwd": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/resolve-cwd/-/resolve-cwd-3.0.0.tgz", + "integrity": "sha512-OrZaX2Mb+rJCpH/6CpSqt9xFVpN++x01XnN2ie9g6P5/3xelLAkXWVADpdz1IHD/KFfEXyE6V0U01OQ3UO2rEg==", + "dev": true, + "license": "MIT", + "dependencies": { + "resolve-from": "^5.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/resolve-cwd/node_modules/resolve-from": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/resolve-from/-/resolve-from-5.0.0.tgz", + "integrity": "sha512-qYg9KP24dD5qka9J47d0aVky0N+b4fTU89LN9iDnjB5waksiC49rvMB0PrUJQGoTmH50XPiqOvAjDfaijGxYZw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/resolve-from": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/resolve-from/-/resolve-from-4.0.0.tgz", + "integrity": "sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=4" + } + }, + "node_modules/retry": { + "version": "0.13.1", + "resolved": "https://registry.npmjs.org/retry/-/retry-0.13.1.tgz", + "integrity": "sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 4" + } + }, + "node_modules/run-applescript": { + "version": "7.1.0", + "resolved": "https://registry.npmjs.org/run-applescript/-/run-applescript-7.1.0.tgz", + "integrity": "sha512-DPe5pVFaAsinSaV6QjQ6gdiedWDcRCbUuiQfQa2wmWV7+xC9bGulGI8+TdRmoFkAPaBXk8CrAbnlY2ISniJ47Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/safe-buffer": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz", + "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==", + "dev": true, + "license": "MIT" + }, + "node_modules/safer-buffer": { + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz", + "integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==", + "dev": true, + "license": "MIT" + }, + "node_modules/scheduler": { + "version": "0.20.2", + "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.20.2.tgz", + "integrity": "sha512-2eWfGgAqqWFGqtdMmcL5zCMK1U8KlXv8SQFGglL3CEtd0aDVDWgeF/YoCmvln55m5zSk3J/20hTaSBeSObsQDQ==", + "license": "MIT", + "dependencies": { + "loose-envify": "^1.1.0", + "object-assign": "^4.1.1" + } + }, + "node_modules/schema-utils": { + "version": "2.7.1", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-2.7.1.tgz", + "integrity": "sha512-SHiNtMOUGWBQJwzISiVYKu82GiV4QYGePp3odlY1tuKO7gPtphAT5R/py0fA6xtbgLL/RvtJZnU9b8s0F1q0Xg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.5", + "ajv": "^6.12.4", + "ajv-keywords": "^3.5.2" + }, + "engines": { + "node": ">= 8.9.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/select-hose": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/select-hose/-/select-hose-2.0.0.tgz", + "integrity": "sha1-Yl2GWPhlr0Psliv8N2o3NZpJlMo= sha512-mEugaLK+YfkijB4fx0e6kImuJdCIt2LxCRcbEYPqRGCs4F2ogyfZU5IAZRdjCP8JPq2AtdNoC/Dux63d9Kiryg==", + "dev": true, + "license": "MIT" + }, + "node_modules/selfsigned": { + "version": "2.4.1", + "resolved": "https://registry.npmjs.org/selfsigned/-/selfsigned-2.4.1.tgz", + "integrity": "sha512-th5B4L2U+eGLq1TVh7zNRGBapioSORUeymIydxgFpwww9d2qyKvtuPU2jJuHvYAwwqi2Y596QBL3eEqcPEYL8Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/node-forge": "^1.3.0", + "node-forge": "^1" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/semver": { + "version": "6.3.1", + "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz", + "integrity": "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==", + "dev": true, + "license": "ISC", + "bin": { + "semver": "bin/semver.js" + } + }, + "node_modules/send": { + "version": "0.19.0", + "resolved": "https://registry.npmjs.org/send/-/send-0.19.0.tgz", + "integrity": "sha512-dW41u5VfLXu8SJh5bwRmyYUbAoSB3c9uQh6L8h/KtsFREPWpbX1lrljJo186Jc4nmci/sGUZ9a0a0J2zgfq2hw==", + "dev": true, + "license": "MIT", + "dependencies": { + "debug": "2.6.9", + "depd": "2.0.0", + "destroy": "1.2.0", + "encodeurl": "~1.0.2", + "escape-html": "~1.0.3", + "etag": "~1.8.1", + "fresh": "0.5.2", + "http-errors": "2.0.0", + "mime": "1.6.0", + "ms": "2.1.3", + "on-finished": "2.4.1", + "range-parser": "~1.2.1", + "statuses": "2.0.1" + }, + "engines": { + "node": ">= 0.8.0" + } + }, + "node_modules/send/node_modules/debug": { + "version": "2.6.9", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.0.0" + } + }, + "node_modules/send/node_modules/debug/node_modules/ms": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", + "dev": true, + "license": "MIT" + }, + "node_modules/send/node_modules/encodeurl": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/encodeurl/-/encodeurl-1.0.2.tgz", + "integrity": "sha1-rT/0yG7C0CkyL1oCw6mmBslbP1k= sha512-TPJXq8JqFaVYm2CWmPvnP2Iyo4ZSM7/QKcSmuMLDObfpH5fi7RUGmd/rTDf+rut/saiDiQEeVTNgAmJEdAOx0w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/send/node_modules/ms": { + "version": "2.1.3", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz", + "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==", + "dev": true, + "license": "MIT" + }, + "node_modules/serialize-javascript": { + "version": "6.0.2", + "resolved": "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-6.0.2.tgz", + "integrity": "sha512-Saa1xPByTTq2gdeFZYLLo+RFE35NHZkAbqZeWNd3BpzppeVisAqpDjcp8dyf6uIvEqJRd46jemmyA4iFIeVk8g==", + "dev": true, + "license": "BSD-3-Clause", + "dependencies": { + "randombytes": "^2.1.0" + } + }, + "node_modules/serve-index": { + "version": "1.9.1", + "resolved": "https://registry.npmjs.org/serve-index/-/serve-index-1.9.1.tgz", + "integrity": "sha1-03aNabHn2C5c4FD/9bRTvqEqkjk= sha512-pXHfKNP4qujrtteMrSBb0rc8HJ9Ms/GrXwcUtUtD5s4ewDJI8bT3Cz2zTVRMKtri49pLx2e0Ya8ziP5Ya2pZZw==", + "dev": true, + "license": "MIT", + "dependencies": { + "accepts": "~1.3.4", + "batch": "0.6.1", + "debug": "2.6.9", + "escape-html": "~1.0.3", + "http-errors": "~1.6.2", + "mime-types": "~2.1.17", + "parseurl": "~1.3.2" + }, + "engines": { + "node": ">= 0.8.0" + } + }, + "node_modules/serve-index/node_modules/debug": { + "version": "2.6.9", + "resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz", + "integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==", + "dev": true, + "license": "MIT", + "dependencies": { + "ms": "2.0.0" + } + }, + "node_modules/serve-index/node_modules/depd": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/depd/-/depd-1.1.2.tgz", + "integrity": "sha1-m81S4UwJd2PnSbJ0xDRu0uVgtak= sha512-7emPTl6Dpo6JRXOXjLRxck+FlLRX5847cLKEn00PLAgc3g2hTZZgr+e4c2v6QpSmLeFP3n5yUo7ft6avBK/5jQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/serve-index/node_modules/http-errors": { + "version": "1.6.3", + "resolved": "https://registry.npmjs.org/http-errors/-/http-errors-1.6.3.tgz", + "integrity": "sha1-i1VoC7S+KDoLW/TqLjhYC+HZMg0= sha512-lks+lVC8dgGyh97jxvxeYTWQFvh4uw4yC12gVl63Cg30sjPX4wuGcdkICVXDAESr6OJGjqGA8Iz5mkeN6zlD7A==", + "dev": true, + "license": "MIT", + "dependencies": { + "depd": "~1.1.2", + "inherits": "2.0.3", + "setprototypeof": "1.1.0", + "statuses": ">= 1.4.0 < 2" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/serve-index/node_modules/inherits": { + "version": "2.0.3", + "resolved": "https://registry.npmjs.org/inherits/-/inherits-2.0.3.tgz", + "integrity": "sha1-Yzwsg+PaQqUC9SRmAiSA9CCCYd4= sha512-x00IRNXNy63jwGkJmzPigoySHbaqpNuzKbBOmzK+g2OdZpQ9w+sxCN+VSB3ja7IAge2OP2qpfxTjeNcyjmW1uw==", + "dev": true, + "license": "ISC" + }, + "node_modules/serve-index/node_modules/ms": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz", + "integrity": "sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==", + "dev": true, + "license": "MIT" + }, + "node_modules/serve-index/node_modules/setprototypeof": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/setprototypeof/-/setprototypeof-1.1.0.tgz", + "integrity": "sha512-BvE/TwpZX4FXExxOxZyRGQQv651MSwmWKZGqvmPcRIjDqWub67kTKuIMx43cZZrS/cBBzwBcNDWoFxt2XEFIpQ==", + "dev": true, + "license": "ISC" + }, + "node_modules/serve-index/node_modules/statuses": { + "version": "1.5.0", + "resolved": "https://registry.npmjs.org/statuses/-/statuses-1.5.0.tgz", + "integrity": "sha1-Fhx9rBd2Wf2YEfQ3cfqZOBR4Yow= sha512-OpZ3zP+jT1PI7I8nemJX4AKmAX070ZkYPVWV/AaKTJl+tXCTGyVdC1a4SL8RUQYEwk/f34ZX8UTykN68FwrqAA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/serve-static": { + "version": "1.16.2", + "resolved": "https://registry.npmjs.org/serve-static/-/serve-static-1.16.2.tgz", + "integrity": "sha512-VqpjJZKadQB/PEbEwvFdO43Ax5dFBZ2UECszz8bQ7pi7wt//PWe1P6MN7eCnjsatYtBT6EuiClbjSWP2WrIoTw==", + "dev": true, + "license": "MIT", + "dependencies": { + "encodeurl": "~2.0.0", + "escape-html": "~1.0.3", + "parseurl": "~1.3.3", + "send": "0.19.0" + }, + "engines": { + "node": ">= 0.8.0" + } + }, + "node_modules/setprototypeof": { + "version": "1.2.0", + "resolved": "https://registry.npmjs.org/setprototypeof/-/setprototypeof-1.2.0.tgz", + "integrity": "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==", + "dev": true, + "license": "ISC" + }, + "node_modules/shallow-clone": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/shallow-clone/-/shallow-clone-3.0.1.tgz", + "integrity": "sha512-/6KqX+GVUdqPuPPd2LxDDxzX6CAbjJehAAOKlNpqqUpAqPM6HeL8f+o3a+JsyGjn2lv0WY8UsTgUJjU9Ok55NA==", + "dev": true, + "license": "MIT", + "dependencies": { + "kind-of": "^6.0.2" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/shebang-command": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz", + "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==", + "dev": true, + "license": "MIT", + "dependencies": { + "shebang-regex": "^3.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/shebang-regex": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz", + "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=8" + } + }, + "node_modules/shell-quote": { + "version": "1.8.3", + "resolved": "https://registry.npmjs.org/shell-quote/-/shell-quote-1.8.3.tgz", + "integrity": "sha512-ObmnIF4hXNg1BqhnHmgbDETF8dLPCggZWBjkQfhZpbszZnYur5DUljTcCHii5LC3J5E0yeO/1LIMyH+UvHQgyw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/side-channel": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/side-channel/-/side-channel-1.1.0.tgz", + "integrity": "sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw==", + "dev": true, + "license": "MIT", + "dependencies": { + "es-errors": "^1.3.0", + "object-inspect": "^1.13.3", + "side-channel-list": "^1.0.0", + "side-channel-map": "^1.0.1", + "side-channel-weakmap": "^1.0.2" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/side-channel-list": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/side-channel-list/-/side-channel-list-1.0.0.tgz", + "integrity": "sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA==", + "dev": true, + "license": "MIT", + "dependencies": { + "es-errors": "^1.3.0", + "object-inspect": "^1.13.3" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/side-channel-map": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/side-channel-map/-/side-channel-map-1.0.1.tgz", + "integrity": "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bound": "^1.0.2", + "es-errors": "^1.3.0", + "get-intrinsic": "^1.2.5", + "object-inspect": "^1.13.3" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/side-channel-weakmap": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz", + "integrity": "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A==", + "dev": true, + "license": "MIT", + "dependencies": { + "call-bound": "^1.0.2", + "es-errors": "^1.3.0", + "get-intrinsic": "^1.2.5", + "object-inspect": "^1.13.3", + "side-channel-map": "^1.0.1" + }, + "engines": { + "node": ">= 0.4" + }, + "funding": { + "url": "https://github.com/sponsors/ljharb" + } + }, + "node_modules/signal-exit": { + "version": "3.0.6", + "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.6.tgz", + "integrity": "sha512-sDl4qMFpijcGw22U5w63KmD3cZJfBuFlVNbVMKje2keoKML7X2UzWbc4XrmEbDwg0NXJc3yv4/ox7b+JWb57kQ==", + "dev": true, + "license": "ISC" + }, + "node_modules/sockjs": { + "version": "0.3.24", + "resolved": "https://registry.npmjs.org/sockjs/-/sockjs-0.3.24.tgz", + "integrity": "sha512-GJgLTZ7vYb/JtPSSZ10hsOYIvEYsjbNU+zPdIHcUaWVNUEPivzxku31865sSSud0Da0W4lEeOPlmw93zLQchuQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "faye-websocket": "^0.11.3", + "uuid": "^8.3.2", + "websocket-driver": "^0.7.4" + } + }, + "node_modules/source-map-js": { + "version": "1.2.1", + "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz", + "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==", + "dev": true, + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/source-map-support": { + "version": "0.5.21", + "resolved": "https://registry.npmjs.org/source-map-support/-/source-map-support-0.5.21.tgz", + "integrity": "sha512-uBHU3L3czsIyYXKX88fdrGovxdSCoTGDRZ6SYXtSRxLZUzHg5P/66Ht6uoUlHu9EZod+inXhKo3qQgwXUT/y1w==", + "dev": true, + "license": "MIT", + "dependencies": { + "buffer-from": "^1.0.0", + "source-map": "^0.6.0" + } + }, + "node_modules/source-map-support/node_modules/source-map": { + "version": "0.6.1", + "resolved": "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz", + "integrity": "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==", + "dev": true, + "license": "BSD-3-Clause", + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/spdy": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/spdy/-/spdy-4.0.2.tgz", + "integrity": "sha512-r46gZQZQV+Kl9oItvl1JZZqJKGr+oEkB08A6BzkiR7593/7IbtuncXHd2YoYeTsG4157ZssMu9KYvUHLcjcDoA==", + "dev": true, + "license": "MIT", + "dependencies": { + "debug": "^4.1.0", + "handle-thing": "^2.0.0", + "http-deceiver": "^1.2.7", + "select-hose": "^2.0.0", + "spdy-transport": "^3.0.0" + }, + "engines": { + "node": ">=6.0.0" + } + }, + "node_modules/spdy-transport": { + "version": "3.0.0", + "resolved": "https://registry.npmjs.org/spdy-transport/-/spdy-transport-3.0.0.tgz", + "integrity": "sha512-hsLVFE5SjA6TCisWeJXFKniGGOpBgMLmerfO2aCyCU5s7nJ/rpAepqmFifv/GCbSbueEeAJJnmSQ2rKC/g8Fcw==", + "dev": true, + "license": "MIT", + "dependencies": { + "debug": "^4.1.0", + "detect-node": "^2.0.4", + "hpack.js": "^2.1.6", + "obuf": "^1.1.2", + "readable-stream": "^3.0.6", + "wbuf": "^1.7.3" + } + }, + "node_modules/stable": { + "version": "0.1.8", + "resolved": "https://registry.npmjs.org/stable/-/stable-0.1.8.tgz", + "integrity": "sha512-ji9qxRnOVfcuLDySj9qzhGSEFVobyt1kIOSkj1qZzYLzq7Tos/oUUWvotUPQLlrsidqsK6tBH89Bc9kL5zHA6w==", + "deprecated": "Modern JS already guarantees Array#sort() is a stable sort, so this library is deprecated. See the compatibility table on MDN: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#browser_compatibility", + "dev": true, + "license": "MIT" + }, + "node_modules/statuses": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/statuses/-/statuses-2.0.1.tgz", + "integrity": "sha512-RwNA9Z/7PrK06rYLIzFMlaF+l73iwpzsqRIFgbMLbTcLD6cOao82TaWefPXQvB2fOC4AjuYSEndS7N/mTCbkdQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/string_decoder": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz", + "integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==", + "dev": true, + "license": "MIT", + "dependencies": { + "safe-buffer": "~5.2.0" + } + }, + "node_modules/string_decoder/node_modules/safe-buffer": { + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz", + "integrity": "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==", + "dev": true, + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/feross" + }, + { + "type": "patreon", + "url": "https://www.patreon.com/feross" + }, + { + "type": "consulting", + "url": "https://feross.org/support" + } + ], + "license": "MIT" + }, + "node_modules/strip-final-newline": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/strip-final-newline/-/strip-final-newline-2.0.0.tgz", + "integrity": "sha512-BrpvfNAE3dcvq7ll3xVumzjKjZQ5tI1sEUIKr3Uoks0XUl45St3FlatVqef9prk4jRDzhW6WZg+3bk93y6pLjA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } + }, + "node_modules/style-loader": { + "version": "3.3.1", + "resolved": "https://registry.npmjs.org/style-loader/-/style-loader-3.3.1.tgz", + "integrity": "sha512-GPcQ+LDJbrcxHORTRes6Jy2sfvK2kS6hpSfI/fXhPt+spVzxF6LJ1dHLN9zIGmVaaP044YKaIatFaufENRiDoQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 12.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.0.0" + } + }, + "node_modules/stylehacks": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/stylehacks/-/stylehacks-5.0.1.tgz", + "integrity": "sha512-Es0rVnHIqbWzveU1b24kbw92HsebBepxfcqe5iix7t9j0PQqhs0IxXVXv0pY2Bxa08CgMkzD6OWql7kbGOuEdA==", + "dev": true, + "license": "MIT", + "dependencies": { + "browserslist": "^4.16.0", + "postcss-selector-parser": "^6.0.4" + }, + "engines": { + "node": "^10 || ^12 || >=14.0" + }, + "peerDependencies": { + "postcss": "^8.2.15" + } + }, + "node_modules/svgo": { + "version": "2.8.0", + "resolved": "https://registry.npmjs.org/svgo/-/svgo-2.8.0.tgz", + "integrity": "sha512-+N/Q9kV1+F+UeWYoSiULYo4xYSDQlTgb+ayMobAXPwMnLvop7oxKMo9OzIrX5x3eS4L4f2UHhc9axXwY8DpChg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@trysound/sax": "0.2.0", + "commander": "^7.2.0", + "css-select": "^4.1.3", + "css-tree": "^1.1.3", + "csso": "^4.2.0", + "picocolors": "^1.0.0", + "stable": "^0.1.8" + }, + "bin": { + "svgo": "bin/svgo" + }, + "engines": { + "node": ">=10.13.0" + } + }, + "node_modules/tapable": { + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/tapable/-/tapable-2.3.0.tgz", + "integrity": "sha512-g9ljZiwki/LfxmQADO3dEY1CbpmXT5Hm2fJ+QaGKwSXUylMybePR7/67YW7jOrrvjEgL1Fmz5kzyAjWVWLlucg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/terser": { + "version": "5.44.0", + "resolved": "https://registry.npmjs.org/terser/-/terser-5.44.0.tgz", + "integrity": "sha512-nIVck8DK+GM/0Frwd+nIhZ84pR/BX7rmXMfYwyg+Sri5oGVE99/E3KvXqpC2xHFxyqXyGHTKBSioxxplrO4I4w==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "@jridgewell/source-map": "^0.3.3", + "acorn": "^8.15.0", + "commander": "^2.20.0", + "source-map-support": "~0.5.20" + }, + "bin": { + "terser": "bin/terser" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/terser-webpack-plugin": { + "version": "5.3.14", + "resolved": "https://registry.npmjs.org/terser-webpack-plugin/-/terser-webpack-plugin-5.3.14.tgz", + "integrity": "sha512-vkZjpUjb6OMS7dhV+tILUW6BhpDR7P2L/aQSAv+Uwk+m8KATX9EccViHTJR2qDtACKPIYndLGCyl3FMo+r2LMw==", + "dev": true, + "license": "MIT", + "dependencies": { + "@jridgewell/trace-mapping": "^0.3.25", + "jest-worker": "^27.4.5", + "schema-utils": "^4.3.0", + "serialize-javascript": "^6.0.2", + "terser": "^5.31.1" + }, + "engines": { + "node": ">= 10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.1.0" + }, + "peerDependenciesMeta": { + "@swc/core": { + "optional": true + }, + "esbuild": { + "optional": true + }, + "uglify-js": { + "optional": true + } + } + }, + "node_modules/terser-webpack-plugin/node_modules/ajv": { + "version": "8.17.1", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz", + "integrity": "sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3", + "fast-uri": "^3.0.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/terser-webpack-plugin/node_modules/ajv-keywords": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz", + "integrity": "sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3" + }, + "peerDependencies": { + "ajv": "^8.8.2" + } + }, + "node_modules/terser-webpack-plugin/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/terser-webpack-plugin/node_modules/schema-utils": { + "version": "4.3.3", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz", + "integrity": "sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.9", + "ajv": "^8.9.0", + "ajv-formats": "^2.1.1", + "ajv-keywords": "^5.1.0" + }, + "engines": { + "node": ">= 10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/terser/node_modules/commander": { + "version": "2.20.3", + "resolved": "https://registry.npmjs.org/commander/-/commander-2.20.3.tgz", + "integrity": "sha512-GpVkmM8vF2vQUkj2LvZmD35JxeJOLCwJ9cUkugyk2nuhbv3+mJvpLYYt+0+USMxE+oj+ey/lJEnhZw75x/OMcQ==", + "dev": true, + "license": "MIT" + }, + "node_modules/thunky": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/thunky/-/thunky-1.1.0.tgz", + "integrity": "sha512-eHY7nBftgThBqOyHGVN+l8gF0BucP09fMo0oO/Lb0w1OF80dJv+lDVpXG60WMQvkcxAkNybKsrEIE3ZtKGmPrA==", + "dev": true, + "license": "MIT" + }, + "node_modules/timsort": { + "version": "0.3.0", + "resolved": "https://registry.npmjs.org/timsort/-/timsort-0.3.0.tgz", + "integrity": "sha1-QFQRqOfmM5/mTbmiNN4R3DHgK9Q= sha512-qsdtZH+vMoCARQtyod4imc2nIJwg9Cc7lPRrw9CzF8ZKR0khdr8+2nX80PBhET3tcyTtJDxAffGh2rXH4tyU8A==", + "dev": true, + "license": "MIT" + }, + "node_modules/to-regex-range": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", + "integrity": "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==", + "license": "MIT", + "dependencies": { + "is-number": "^7.0.0" + }, + "engines": { + "node": ">=8.0" + } + }, + "node_modules/toidentifier": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz", + "integrity": "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=0.6" + } + }, + "node_modules/tslib": { + "version": "1.14.1", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz", + "integrity": "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==", + "license": "0BSD" + }, + "node_modules/type-is": { + "version": "1.6.18", + "resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz", + "integrity": "sha512-TkRKr9sUTxEH8MdfuCSP7VizJyzRNMjj2J2do2Jr3Kym598JVdEksuzPQCnlFPW4ky9Q+iA+ma9BGm06XQBy8g==", + "dev": true, + "license": "MIT", + "dependencies": { + "media-typer": "0.3.0", + "mime-types": "~2.1.24" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/unicode-canonical-property-names-ecmascript": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-2.0.0.tgz", + "integrity": "sha512-yY5PpDlfVIU5+y/BSCxAJRBIS1Zc2dDG3Ujq+sR0U+JjUevW2JhocOF+soROYDSaAezOzOKuyyixhD6mBknSmQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=4" + } + }, + "node_modules/unicode-match-property-ecmascript": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/unicode-match-property-ecmascript/-/unicode-match-property-ecmascript-2.0.0.tgz", + "integrity": "sha512-5kaZCrbp5mmbz5ulBkDkbY0SsPOjKqVS35VpL9ulMPfSl0J0Xsm+9Evphv9CoIZFwre7aJoa94AY6seMKGVN5Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "unicode-canonical-property-names-ecmascript": "^2.0.0", + "unicode-property-aliases-ecmascript": "^2.0.0" + }, + "engines": { + "node": ">=4" + } + }, + "node_modules/unicode-match-property-value-ecmascript": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/unicode-match-property-value-ecmascript/-/unicode-match-property-value-ecmascript-2.0.0.tgz", + "integrity": "sha512-7Yhkc0Ye+t4PNYzOGKedDhXbYIBe1XEQYQxOPyhcXNMJ0WCABqqj6ckydd6pWRZTHV4GuCPKdBAUiMc60tsKVw==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=4" + } + }, + "node_modules/unicode-property-aliases-ecmascript": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/unicode-property-aliases-ecmascript/-/unicode-property-aliases-ecmascript-2.0.0.tgz", + "integrity": "sha512-5Zfuy9q/DFr4tfO7ZPeVXb1aPoeQSdeFMLpYuFebehDAhbuevLs5yxSZmIFN1tP5F9Wl4IpJrYojg85/zgyZHQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=4" + } + }, + "node_modules/unpipe": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz", + "integrity": "sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw= sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/update-browserslist-db": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.3.tgz", + "integrity": "sha512-UxhIZQ+QInVdunkDAaiazvvT/+fXL5Osr0JZlJulepYu6Jd7qJtDZjlur0emRlT71EN3ScPoE7gvsuIKKNavKw==", + "dev": true, + "funding": [ + { + "type": "opencollective", + "url": "https://opencollective.com/browserslist" + }, + { + "type": "tidelift", + "url": "https://tidelift.com/funding/github/npm/browserslist" + }, + { + "type": "github", + "url": "https://github.com/sponsors/ai" + } + ], + "license": "MIT", + "dependencies": { + "escalade": "^3.2.0", + "picocolors": "^1.1.1" + }, + "bin": { + "update-browserslist-db": "cli.js" + }, + "peerDependencies": { + "browserslist": ">= 4.21.0" + } + }, + "node_modules/uri-js": { + "version": "4.4.1", + "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz", + "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==", + "dev": true, + "license": "BSD-2-Clause", + "dependencies": { + "punycode": "^2.1.0" + } + }, + "node_modules/use-isomorphic-layout-effect": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/use-isomorphic-layout-effect/-/use-isomorphic-layout-effect-1.1.2.tgz", + "integrity": "sha512-49L8yCO3iGT/ZF9QttjwLF/ZD9Iwto5LnH5LmEdk/6cFmXddqi2ulF0edxTwjj+7mqvpVVGQWvbXZdn32wRSHA==", + "license": "MIT", + "peerDependencies": { + "react": "^16.8.0 || ^17.0.0 || ^18.0.0" + }, + "peerDependenciesMeta": { + "@types/react": { + "optional": true + } + } + }, + "node_modules/util-deprecate": { + "version": "1.0.2", + "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz", + "integrity": "sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8= sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==", + "dev": true, + "license": "MIT" + }, + "node_modules/utils-merge": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz", + "integrity": "sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM= sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.4.0" + } + }, + "node_modules/uuid": { + "version": "8.3.2", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-8.3.2.tgz", + "integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==", + "dev": true, + "license": "MIT", + "bin": { + "uuid": "dist/bin/uuid" + } + }, + "node_modules/vary": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz", + "integrity": "sha1-IpnwLG3tMNSllhsLn3RSShj2NPw= sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, + "node_modules/watchpack": { + "version": "2.4.4", + "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.4.tgz", + "integrity": "sha512-c5EGNOiyxxV5qmTtAB7rbiXxi1ooX1pQKMLX/MIabJjRA0SJBQOjKF+KSVfHkr9U1cADPon0mRiVe/riyaiDUA==", + "dev": true, + "license": "MIT", + "dependencies": { + "glob-to-regexp": "^0.4.1", + "graceful-fs": "^4.1.2" + }, + "engines": { + "node": ">=10.13.0" + } + }, + "node_modules/wbuf": { + "version": "1.7.3", + "resolved": "https://registry.npmjs.org/wbuf/-/wbuf-1.7.3.tgz", + "integrity": "sha512-O84QOnr0icsbFGLS0O3bI5FswxzRr8/gHwWkDlQFskhSPryQXvrTMxjxGP4+iWYoauLoBvfDpkrOauZ+0iZpDA==", + "dev": true, + "license": "MIT", + "dependencies": { + "minimalistic-assert": "^1.0.0" + } + }, + "node_modules/webpack": { + "version": "5.102.1", + "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.102.1.tgz", + "integrity": "sha512-7h/weGm9d/ywQ6qzJ+Xy+r9n/3qgp/thalBbpOi5i223dPXKi04IBtqPN9nTd+jBc7QKfvDbaBnFipYp4sJAUQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/eslint-scope": "^3.7.7", + "@types/estree": "^1.0.8", + "@types/json-schema": "^7.0.15", + "@webassemblyjs/ast": "^1.14.1", + "@webassemblyjs/wasm-edit": "^1.14.1", + "@webassemblyjs/wasm-parser": "^1.14.1", + "acorn": "^8.15.0", + "acorn-import-phases": "^1.0.3", + "browserslist": "^4.26.3", + "chrome-trace-event": "^1.0.2", + "enhanced-resolve": "^5.17.3", + "es-module-lexer": "^1.2.1", + "eslint-scope": "5.1.1", + "events": "^3.2.0", + "glob-to-regexp": "^0.4.1", + "graceful-fs": "^4.2.11", + "json-parse-even-better-errors": "^2.3.1", + "loader-runner": "^4.2.0", + "mime-types": "^2.1.27", + "neo-async": "^2.6.2", + "schema-utils": "^4.3.3", + "tapable": "^2.3.0", + "terser-webpack-plugin": "^5.3.11", + "watchpack": "^2.4.4", + "webpack-sources": "^3.3.3" + }, + "bin": { + "webpack": "bin/webpack.js" + }, + "engines": { + "node": ">=10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependenciesMeta": { + "webpack-cli": { + "optional": true + } + } + }, + "node_modules/webpack-cli": { + "version": "4.9.2", + "resolved": "https://registry.npmjs.org/webpack-cli/-/webpack-cli-4.9.2.tgz", + "integrity": "sha512-m3/AACnBBzK/kMTcxWHcZFPrw/eQuY4Df1TxvIWfWM2x7mRqBQCqKEd96oCUa9jkapLBaFfRce33eGDb4Pr7YQ==", + "dev": true, + "license": "MIT", + "dependencies": { + "@discoveryjs/json-ext": "^0.5.0", + "@webpack-cli/configtest": "^1.1.1", + "@webpack-cli/info": "^1.4.1", + "@webpack-cli/serve": "^1.6.1", + "colorette": "^2.0.14", + "commander": "^7.0.0", + "execa": "^5.0.0", + "fastest-levenshtein": "^1.0.12", + "import-local": "^3.0.2", + "interpret": "^2.2.0", + "rechoir": "^0.7.0", + "webpack-merge": "^5.7.3" + }, + "bin": { + "webpack-cli": "bin/cli.js" + }, + "engines": { + "node": ">=10.13.0" + }, + "peerDependencies": { + "webpack": "4.x.x || 5.x.x" + }, + "peerDependenciesMeta": { + "@webpack-cli/generators": { + "optional": true + }, + "@webpack-cli/migrate": { + "optional": true + }, + "webpack-bundle-analyzer": { + "optional": true + }, + "webpack-dev-server": { + "optional": true + } + } + }, + "node_modules/webpack-dev-middleware": { + "version": "7.4.5", + "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-7.4.5.tgz", + "integrity": "sha512-uxQ6YqGdE4hgDKNf7hUiPXOdtkXvBJXrfEGYSx7P7LC8hnUYGK70X6xQXUvXeNyBDDcsiQXpG2m3G9vxowaEuA==", + "dev": true, + "license": "MIT", + "dependencies": { + "colorette": "^2.0.10", + "memfs": "^4.43.1", + "mime-types": "^3.0.1", + "on-finished": "^2.4.1", + "range-parser": "^1.2.1", + "schema-utils": "^4.0.0" + }, + "engines": { + "node": ">= 18.12.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.0.0" + }, + "peerDependenciesMeta": { + "webpack": { + "optional": true + } + } + }, + "node_modules/webpack-dev-middleware/node_modules/ajv": { + "version": "8.17.1", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz", + "integrity": "sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3", + "fast-uri": "^3.0.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/webpack-dev-middleware/node_modules/ajv-keywords": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz", + "integrity": "sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3" + }, + "peerDependencies": { + "ajv": "^8.8.2" + } + }, + "node_modules/webpack-dev-middleware/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/webpack-dev-middleware/node_modules/mime-db": { + "version": "1.54.0", + "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.54.0.tgz", + "integrity": "sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/webpack-dev-middleware/node_modules/mime-types": { + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-3.0.1.tgz", + "integrity": "sha512-xRc4oEhT6eaBpU1XF7AjpOFD+xQmXNB5OVKwp4tqCuBpHLS/ZbBDrc07mYTDqVMg6PfxUjjNp85O6Cd2Z/5HWA==", + "dev": true, + "license": "MIT", + "dependencies": { + "mime-db": "^1.54.0" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/webpack-dev-middleware/node_modules/schema-utils": { + "version": "4.3.3", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz", + "integrity": "sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.9", + "ajv": "^8.9.0", + "ajv-formats": "^2.1.1", + "ajv-keywords": "^5.1.0" + }, + "engines": { + "node": ">= 10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/webpack-dev-server": { + "version": "5.2.2", + "resolved": "https://registry.npmjs.org/webpack-dev-server/-/webpack-dev-server-5.2.2.tgz", + "integrity": "sha512-QcQ72gh8a+7JO63TAx/6XZf/CWhgMzu5m0QirvPfGvptOusAxG12w2+aua1Jkjr7hzaWDnJ2n6JFeexMHI+Zjg==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/bonjour": "^3.5.13", + "@types/connect-history-api-fallback": "^1.5.4", + "@types/express": "^4.17.21", + "@types/express-serve-static-core": "^4.17.21", + "@types/serve-index": "^1.9.4", + "@types/serve-static": "^1.15.5", + "@types/sockjs": "^0.3.36", + "@types/ws": "^8.5.10", + "ansi-html-community": "^0.0.8", + "bonjour-service": "^1.2.1", + "chokidar": "^3.6.0", + "colorette": "^2.0.10", + "compression": "^1.7.4", + "connect-history-api-fallback": "^2.0.0", + "express": "^4.21.2", + "graceful-fs": "^4.2.6", + "http-proxy-middleware": "^2.0.9", + "ipaddr.js": "^2.1.0", + "launch-editor": "^2.6.1", + "open": "^10.0.3", + "p-retry": "^6.2.0", + "schema-utils": "^4.2.0", + "selfsigned": "^2.4.1", + "serve-index": "^1.9.1", + "sockjs": "^0.3.24", + "spdy": "^4.0.2", + "webpack-dev-middleware": "^7.4.2", + "ws": "^8.18.0" + }, + "bin": { + "webpack-dev-server": "bin/webpack-dev-server.js" + }, + "engines": { + "node": ">= 18.12.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + }, + "peerDependencies": { + "webpack": "^5.0.0" + }, + "peerDependenciesMeta": { + "webpack": { + "optional": true + }, + "webpack-cli": { + "optional": true + } + } + }, + "node_modules/webpack-dev-server/node_modules/ajv": { + "version": "8.17.1", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz", + "integrity": "sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3", + "fast-uri": "^3.0.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/webpack-dev-server/node_modules/ajv-keywords": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz", + "integrity": "sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3" + }, + "peerDependencies": { + "ajv": "^8.8.2" + } + }, + "node_modules/webpack-dev-server/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/webpack-dev-server/node_modules/schema-utils": { + "version": "4.3.3", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz", + "integrity": "sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.9", + "ajv": "^8.9.0", + "ajv-formats": "^2.1.1", + "ajv-keywords": "^5.1.0" + }, + "engines": { + "node": ">= 10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/webpack-merge": { + "version": "5.8.0", + "resolved": "https://registry.npmjs.org/webpack-merge/-/webpack-merge-5.8.0.tgz", + "integrity": "sha512-/SaI7xY0831XwP6kzuwhKWVKDP9t1QY1h65lAFLbZqMPIuYcD9QAW4u9STIbU9kaJbPBB/geU/gLr1wDjOhQ+Q==", + "dev": true, + "license": "MIT", + "dependencies": { + "clone-deep": "^4.0.1", + "wildcard": "^2.0.0" + }, + "engines": { + "node": ">=10.0.0" + } + }, + "node_modules/webpack-sources": { + "version": "3.3.3", + "resolved": "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.3.3.tgz", + "integrity": "sha512-yd1RBzSGanHkitROoPFd6qsrxt+oFhg/129YzheDGqeustzX0vTZJZsSsQjVQC4yzBQ56K55XU8gaNCtIzOnTg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.13.0" + } + }, + "node_modules/webpack/node_modules/ajv": { + "version": "8.17.1", + "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz", + "integrity": "sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3", + "fast-uri": "^3.0.1", + "json-schema-traverse": "^1.0.0", + "require-from-string": "^2.0.2" + }, + "funding": { + "type": "github", + "url": "https://github.com/sponsors/epoberezkin" + } + }, + "node_modules/webpack/node_modules/ajv-keywords": { + "version": "5.1.0", + "resolved": "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz", + "integrity": "sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw==", + "dev": true, + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3" + }, + "peerDependencies": { + "ajv": "^8.8.2" + } + }, + "node_modules/webpack/node_modules/json-schema-traverse": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/json-schema-traverse/-/json-schema-traverse-1.0.0.tgz", + "integrity": "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==", + "dev": true, + "license": "MIT" + }, + "node_modules/webpack/node_modules/schema-utils": { + "version": "4.3.3", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz", + "integrity": "sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA==", + "dev": true, + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.9", + "ajv": "^8.9.0", + "ajv-formats": "^2.1.1", + "ajv-keywords": "^5.1.0" + }, + "engines": { + "node": ">= 10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, + "node_modules/websocket-driver": { + "version": "0.7.4", + "resolved": "https://registry.npmjs.org/websocket-driver/-/websocket-driver-0.7.4.tgz", + "integrity": "sha512-b17KeDIQVjvb0ssuSDF2cYXSg2iztliJ4B9WdsuB6J952qCPKmnVq4DyW5motImXHDC1cBT/1UezrJVsKw5zjg==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "http-parser-js": ">=0.5.1", + "safe-buffer": ">=5.1.0", + "websocket-extensions": ">=0.1.1" + }, + "engines": { + "node": ">=0.8.0" + } + }, + "node_modules/websocket-extensions": { + "version": "0.1.4", + "resolved": "https://registry.npmjs.org/websocket-extensions/-/websocket-extensions-0.1.4.tgz", + "integrity": "sha512-OqedPIGOfsDlo31UNwYbCFMSaO9m9G/0faIHj5/dZFDMFqPTcx6UwqyOy3COEaEOg/9VsGIpdqn62W5KhoKSpg==", + "dev": true, + "license": "Apache-2.0", + "engines": { + "node": ">=0.8.0" + } + }, + "node_modules/which": { + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", + "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==", + "dev": true, + "license": "ISC", + "dependencies": { + "isexe": "^2.0.0" + }, + "bin": { + "node-which": "bin/node-which" + }, + "engines": { + "node": ">= 8" + } + }, + "node_modules/wildcard": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/wildcard/-/wildcard-2.0.0.tgz", + "integrity": "sha512-JcKqAHLPxcdb9KM49dufGXn2x3ssnfjbcaQdLlfZsL9rH9wgDQjUtDxbo8NE0F6SFvydeu1VhZe7hZuHsB2/pw==", + "dev": true, + "license": "MIT" + }, + "node_modules/ws": { + "version": "8.18.3", + "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz", + "integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10.0.0" + }, + "peerDependencies": { + "bufferutil": "^4.0.1", + "utf-8-validate": ">=5.0.2" + }, + "peerDependenciesMeta": { + "bufferutil": { + "optional": true + }, + "utf-8-validate": { + "optional": true + } + } + }, + "node_modules/wsl-utils": { + "version": "0.1.0", + "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz", + "integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-wsl": "^3.1.0" + }, + "engines": { + "node": ">=18" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/yaml": { + "version": "1.10.2", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz", + "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==", + "dev": true, + "license": "ISC", + "engines": { + "node": ">= 6" + } + } + } +} diff --git a/docs/_frontend/package.json b/docs/_frontend/package.json index 3a0575571a38b2..9d099c807fb070 100644 --- a/docs/_frontend/package.json +++ b/docs/_frontend/package.json @@ -21,13 +21,14 @@ "terser-webpack-plugin": "^5.3.1", "webpack": "^5.70.0", "webpack-cli": "^4.9.2", - "webpack-dev-server": "^4.7.4" + "webpack-dev-server": "^5.2.2" }, "dependencies": { "@floating-ui/react-dom": "^0.7.1", "@floating-ui/react-dom-interactions": "^0.6.3", "classnames": "^2.3.1", "downshift": "^6.1.7", + "http-proxy-middleware": "^2.0.9", "preact": "^10.7.0", "react": "17", "react-dom": "17" diff --git a/docs/_frontend/yarn.lock b/docs/_frontend/yarn.lock index ee4db779bb9955..34d22d753221e8 100644 --- a/docs/_frontend/yarn.lock +++ b/docs/_frontend/yarn.lock @@ -4,38 +4,28 @@ "@ampproject/remapping@^2.1.0": version "2.1.2" - resolved "https://registry.yarnpkg.com/@ampproject/remapping/-/remapping-2.1.2.tgz#4edca94973ded9630d20101cd8559cedb8d8bd34" + resolved "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.1.2.tgz" integrity sha512-hoyByceqwKirw7w3Z7gnIIZC3Wx3J484Y3L/cMpXFbr7d9ZQj2mODrirNzcJa+SM3UlpWXYvKV4RlRpFXlWgXg== dependencies: "@jridgewell/trace-mapping" "^0.3.0" -"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.16.0.tgz" - integrity sha512-IF4EOMEV+bfYwOmNxGzSnjR2EmQod7f1UXOpZM3l4i4o4QNwzjtJAu/HxdjHq0aYBvdqMuQEY1eg0nqW9ZPORA== - dependencies: - "@babel/highlight" "^7.16.0" - -"@babel/code-frame@^7.16.7": - version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.16.7.tgz#44416b6bd7624b998f5b1af5d470856c40138789" - integrity sha512-iAXqUn8IIeBTNd72xsFlgaXHkMBMt6y4HJp1tIaK465CWLT/fG1aqB7ykr95gHHmlBdGbFeWWfyB4NJJ0nmeIg== +"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.16.7", "@babel/code-frame@^7.27.1": + version "7.27.1" + resolved "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz" + integrity sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg== dependencies: - "@babel/highlight" "^7.16.7" - -"@babel/compat-data@^7.13.11", "@babel/compat-data@^7.16.0": - version "7.16.4" - resolved "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.16.4.tgz" - integrity sha512-1o/jo7D+kC9ZjHX5v+EHrdjl3PhxMrLSOTGsOdHJ+KL8HCaEK6ehrVL2RS6oHDZp+L7xLirLrPmQtEng769J/Q== + "@babel/helper-validator-identifier" "^7.27.1" + js-tokens "^4.0.0" + picocolors "^1.1.1" -"@babel/compat-data@^7.16.8", "@babel/compat-data@^7.17.0", "@babel/compat-data@^7.17.7": +"@babel/compat-data@^7.13.11", "@babel/compat-data@^7.16.8", "@babel/compat-data@^7.17.0", "@babel/compat-data@^7.17.7": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.17.7.tgz#078d8b833fbbcc95286613be8c716cef2b519fa2" + resolved "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.17.7.tgz" integrity sha512-p8pdE6j0a29TNGebNm7NzYZWB3xVZJBZ7XGs42uAKzQo8VQ3F0By/cQCtUEABwIqw5zo6WA4NbmxsfzADzMKnQ== -"@babel/core@^7.17.8": +"@babel/core@^7.0.0", "@babel/core@^7.0.0-0", "@babel/core@^7.12.0", "@babel/core@^7.13.0", "@babel/core@^7.17.8", "@babel/core@^7.4.0-0": version "7.17.8" - resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.17.8.tgz#3dac27c190ebc3a4381110d46c80e77efe172e1a" + resolved "https://registry.npmjs.org/@babel/core/-/core-7.17.8.tgz" integrity sha512-OdQDV/7cRBtJHLSOBqqbYNkOcydOgnX59TZx4puf41fzcVtN3e/4yqY8lMQsK+5X2lJtAdmA+6OHqsj1hBJ4IQ== dependencies: "@ampproject/remapping" "^2.1.0" @@ -54,59 +44,35 @@ json5 "^2.1.2" semver "^6.3.0" -"@babel/generator@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/generator/-/generator-7.16.0.tgz" - integrity sha512-RR8hUCfRQn9j9RPKEVXo9LiwoxLPYn6hNZlvUOR8tSnaxlD0p0+la00ZP9/SnRt6HchKr+X0fO2r8vrETiJGew== +"@babel/generator@^7.17.7", "@babel/generator@^7.28.3": + version "7.28.3" + resolved "https://registry.npmjs.org/@babel/generator/-/generator-7.28.3.tgz" + integrity sha512-3lSpxGgvnmZznmBkCRnVREPUFJv2wrv9iAoFDvADJc0ypmdOxdUtcLeBgBJ6zE0PMeTKnxeQzyk0xTBq4Ep7zw== dependencies: - "@babel/types" "^7.16.0" - jsesc "^2.5.1" - source-map "^0.5.0" - -"@babel/generator@^7.17.3", "@babel/generator@^7.17.7": - version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.17.7.tgz#8da2599beb4a86194a3b24df6c085931d9ee45ad" - integrity sha512-oLcVCTeIFadUoArDTwpluncplrYBmTCCZZgXCbgNGvOBBiSDDK3eWO4b/+eOTli5tKv1lg+a5/NAXg+nTcei1w== - dependencies: - "@babel/types" "^7.17.0" - jsesc "^2.5.1" - source-map "^0.5.0" - -"@babel/helper-annotate-as-pure@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.16.0.tgz" - integrity sha512-ItmYF9vR4zA8cByDocY05o0LGUkp1zhbTQOH1NFyl5xXEqlTJQCEJjieriw+aFpxo16swMxUnUiKS7a/r4vtHg== - dependencies: - "@babel/types" "^7.16.0" + "@babel/parser" "^7.28.3" + "@babel/types" "^7.28.2" + "@jridgewell/gen-mapping" "^0.3.12" + "@jridgewell/trace-mapping" "^0.3.28" + jsesc "^3.0.2" "@babel/helper-annotate-as-pure@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.16.7.tgz#bb2339a7534a9c128e3102024c60760a3a7f3862" + resolved "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.16.7.tgz" integrity sha512-s6t2w/IPQVTAET1HitoowRGXooX8mCgtuP5195wD/QJPV6wYjpujCGF7JuMODVX2ZAJOf1GT6DT9MHEZvLOFSw== dependencies: "@babel/types" "^7.16.7" "@babel/helper-builder-binary-assignment-operator-visitor@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.16.7.tgz#38d138561ea207f0f69eb1626a418e4f7e6a580b" + resolved "https://registry.npmjs.org/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.16.7.tgz" integrity sha512-C6FdbRaxYjwVu/geKW4ZeQ0Q31AftgRcdSnZ5/jsH6BzCJbtvXvhpfkbkThYSuutZA7nCXpPR6AD9zd1dprMkA== dependencies: "@babel/helper-explode-assignable-expression" "^7.16.7" "@babel/types" "^7.16.7" -"@babel/helper-compilation-targets@^7.13.0": - version "7.16.3" - resolved "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.16.3.tgz" - integrity sha512-vKsoSQAyBmxS35JUOOt+07cLc6Nk/2ljLIHwmq2/NM6hdioUaqEXq/S+nXvbvXbZkNDlWOymPanJGOc4CBjSJA== - dependencies: - "@babel/compat-data" "^7.16.0" - "@babel/helper-validator-option" "^7.14.5" - browserslist "^4.17.5" - semver "^6.3.0" - -"@babel/helper-compilation-targets@^7.16.7", "@babel/helper-compilation-targets@^7.17.7": +"@babel/helper-compilation-targets@^7.13.0", "@babel/helper-compilation-targets@^7.16.7", "@babel/helper-compilation-targets@^7.17.7": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/helper-compilation-targets/-/helper-compilation-targets-7.17.7.tgz#a3c2924f5e5f0379b356d4cfb313d1414dc30e46" + resolved "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.17.7.tgz" integrity sha512-UFzlz2jjd8kroj0hmCFV5zr+tQPi1dpC2cRsDV/3IEW8bJfCPrPpmcSN6ZS8RqIq4LXcmpipCQFPddyFA5Yc7w== dependencies: "@babel/compat-data" "^7.17.7" @@ -116,7 +82,7 @@ "@babel/helper-create-class-features-plugin@^7.16.10", "@babel/helper-create-class-features-plugin@^7.16.7", "@babel/helper-create-class-features-plugin@^7.17.6": version "7.17.6" - resolved "https://registry.yarnpkg.com/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.17.6.tgz#3778c1ed09a7f3e65e6d6e0f6fbfcc53809d92c9" + resolved "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.17.6.tgz" integrity sha512-SogLLSxXm2OkBbSsHZMM4tUi8fUzjs63AT/d0YQIzr6GSd8Hxsbk2KYDX0k0DweAzGMj/YWeiCsorIdtdcW8Eg== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" @@ -127,39 +93,17 @@ "@babel/helper-replace-supers" "^7.16.7" "@babel/helper-split-export-declaration" "^7.16.7" -"@babel/helper-create-regexp-features-plugin@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.16.0.tgz" - integrity sha512-3DyG0zAFAZKcOp7aVr33ddwkxJ0Z0Jr5V99y3I690eYLpukJsJvAbzTy1ewoCqsML8SbIrjH14Jc/nSQ4TvNPA== - dependencies: - "@babel/helper-annotate-as-pure" "^7.16.0" - regexpu-core "^4.7.1" - "@babel/helper-create-regexp-features-plugin@^7.16.7": version "7.17.0" - resolved "https://registry.yarnpkg.com/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.17.0.tgz#1dcc7d40ba0c6b6b25618997c5dbfd310f186fe1" + resolved "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.17.0.tgz" integrity sha512-awO2So99wG6KnlE+TPs6rn83gCz5WlEePJDTnLEqbchMVrBeAujURVphRdigsk094VhvZehFoNOihSlcBjwsXA== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" regexpu-core "^5.0.1" -"@babel/helper-define-polyfill-provider@^0.3.0": - version "0.3.0" - resolved "https://registry.npmjs.org/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.3.0.tgz" - integrity sha512-7hfT8lUljl/tM3h+izTX/pO3W3frz2ok6Pk+gzys8iJqDfZrZy2pXjRTZAvG2YmfHun1X4q8/UZRLatMfqc5Tg== - dependencies: - "@babel/helper-compilation-targets" "^7.13.0" - "@babel/helper-module-imports" "^7.12.13" - "@babel/helper-plugin-utils" "^7.13.0" - "@babel/traverse" "^7.13.0" - debug "^4.1.1" - lodash.debounce "^4.0.8" - resolve "^1.14.2" - semver "^6.1.2" - -"@babel/helper-define-polyfill-provider@^0.3.1": +"@babel/helper-define-polyfill-provider@^0.3.0", "@babel/helper-define-polyfill-provider@^0.3.1": version "0.3.1" - resolved "https://registry.yarnpkg.com/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.3.1.tgz#52411b445bdb2e676869e5a74960d2d3826d2665" + resolved "https://registry.npmjs.org/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.3.1.tgz" integrity sha512-J9hGMpJQmtWmj46B3kBHmL38UhJGhYX7eqkcq+2gsstyYt341HmPeWspihX43yVRA0mS+8GGk2Gckc7bY/HCmA== dependencies: "@babel/helper-compilation-targets" "^7.13.0" @@ -173,88 +117,63 @@ "@babel/helper-environment-visitor@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-environment-visitor/-/helper-environment-visitor-7.16.7.tgz#ff484094a839bde9d89cd63cba017d7aae80ecd7" + resolved "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.16.7.tgz" integrity sha512-SLLb0AAn6PkUeAfKJCCOl9e1R53pQlGAfc4y4XuMRZfqeMYLE0dM1LMhqbGAlGQY0lfw5/ohoYWAe9V1yibRag== dependencies: "@babel/types" "^7.16.7" "@babel/helper-explode-assignable-expression@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-explode-assignable-expression/-/helper-explode-assignable-expression-7.16.7.tgz#12a6d8522fdd834f194e868af6354e8650242b7a" + resolved "https://registry.npmjs.org/@babel/helper-explode-assignable-expression/-/helper-explode-assignable-expression-7.16.7.tgz" integrity sha512-KyUenhWMC8VrxzkGP0Jizjo4/Zx+1nNZhgocs+gLzyZyB8SHidhoq9KK/8Ato4anhwsivfkBLftky7gvzbZMtQ== dependencies: "@babel/types" "^7.16.7" -"@babel/helper-function-name@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.16.0.tgz" - integrity sha512-BZh4mEk1xi2h4HFjWUXRQX5AEx4rvaZxHgax9gcjdLWdkjsY7MKt5p0otjsg5noXw+pB+clMCjw+aEVYADMjog== - dependencies: - "@babel/helper-get-function-arity" "^7.16.0" - "@babel/template" "^7.16.0" - "@babel/types" "^7.16.0" - "@babel/helper-function-name@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-function-name/-/helper-function-name-7.16.7.tgz#f1ec51551fb1c8956bc8dd95f38523b6cf375f8f" + resolved "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.16.7.tgz" integrity sha512-QfDfEnIUyyBSR3HtrtGECuZ6DAyCkYFp7GHl75vFtTnn6pjKeK0T1DB5lLkFvBea8MdaiUABx3osbgLyInoejA== dependencies: "@babel/helper-get-function-arity" "^7.16.7" "@babel/template" "^7.16.7" "@babel/types" "^7.16.7" -"@babel/helper-get-function-arity@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-get-function-arity/-/helper-get-function-arity-7.16.0.tgz" - integrity sha512-ASCquNcywC1NkYh/z7Cgp3w31YW8aojjYIlNg4VeJiHkqyP4AzIvr4qx7pYDb4/s8YcsZWqqOSxgkvjUz1kpDQ== - dependencies: - "@babel/types" "^7.16.0" - "@babel/helper-get-function-arity@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-get-function-arity/-/helper-get-function-arity-7.16.7.tgz#ea08ac753117a669f1508ba06ebcc49156387419" + resolved "https://registry.npmjs.org/@babel/helper-get-function-arity/-/helper-get-function-arity-7.16.7.tgz" integrity sha512-flc+RLSOBXzNzVhcLu6ujeHUrD6tANAOU5ojrRx/as+tbzf8+stUCj7+IfRRoAbEZqj/ahXEMsjhOhgeZsrnTw== dependencies: "@babel/types" "^7.16.7" -"@babel/helper-hoist-variables@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.16.0.tgz" - integrity sha512-1AZlpazjUR0EQZQv3sgRNfM9mEVWPK3M6vlalczA+EECcPz3XPh6VplbErL5UoMpChhSck5wAJHthlj1bYpcmg== - dependencies: - "@babel/types" "^7.16.0" +"@babel/helper-globals@^7.28.0": + version "7.28.0" + resolved "https://registry.npmjs.org/@babel/helper-globals/-/helper-globals-7.28.0.tgz" + integrity sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw== "@babel/helper-hoist-variables@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-hoist-variables/-/helper-hoist-variables-7.16.7.tgz#86bcb19a77a509c7b77d0e22323ef588fa58c246" + resolved "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.16.7.tgz" integrity sha512-m04d/0Op34H5v7pbZw6pSKP7weA6lsMvfiIAMeIvkY/R4xQtBSMFEigu9QTZ2qB/9l22vsxtM8a+Q8CzD255fg== dependencies: "@babel/types" "^7.16.7" "@babel/helper-member-expression-to-functions@^7.16.7": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.17.7.tgz#a34013b57d8542a8c4ff8ba3f747c02452a4d8c4" + resolved "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.17.7.tgz" integrity sha512-thxXgnQ8qQ11W2wVUObIqDL4p148VMxkt5T/qpN5k2fboRyzFGFmKsTGViquyM5QHKUy48OZoca8kw4ajaDPyw== dependencies: "@babel/types" "^7.17.0" -"@babel/helper-module-imports@^7.12.13": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.16.0.tgz" - integrity sha512-kkH7sWzKPq0xt3H1n+ghb4xEMP8k0U7XV3kkB+ZGy69kDk2ySFW1qPi06sjKzFY3t1j6XbJSqr4mF9L7CYVyhg== - dependencies: - "@babel/types" "^7.16.0" - -"@babel/helper-module-imports@^7.16.7": +"@babel/helper-module-imports@^7.12.13", "@babel/helper-module-imports@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-module-imports/-/helper-module-imports-7.16.7.tgz#25612a8091a999704461c8a222d0efec5d091437" + resolved "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.16.7.tgz" integrity sha512-LVtS6TqjJHFc+nYeITRo6VLXve70xmq7wPhWTqDJusJEgGmkAACWwMiTNrvfoQo6hEhFwAIixNkvB0jPXDL8Wg== dependencies: "@babel/types" "^7.16.7" "@babel/helper-module-transforms@^7.16.7", "@babel/helper-module-transforms@^7.17.7": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/helper-module-transforms/-/helper-module-transforms-7.17.7.tgz#3943c7f777139e7954a5355c815263741a9c1cbd" + resolved "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.17.7.tgz" integrity sha512-VmZD99F3gNTYB7fJRDTi+u6l/zxY0BE6OIxPSU7a50s6ZUQkHwSDmV92FfM+oCG0pZRVojGYhkR8I0OGeCVREw== dependencies: "@babel/helper-environment-visitor" "^7.16.7" @@ -268,24 +187,19 @@ "@babel/helper-optimise-call-expression@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.16.7.tgz#a34e3560605abbd31a18546bd2aad3e6d9a174f2" + resolved "https://registry.npmjs.org/@babel/helper-optimise-call-expression/-/helper-optimise-call-expression-7.16.7.tgz" integrity sha512-EtgBhg7rd/JcnpZFXpBy0ze1YRfdm7BnBX4uKMBd3ixa3RGAE002JZB66FJyNH7g0F38U05pXmA5P8cBh7z+1w== dependencies: "@babel/types" "^7.16.7" -"@babel/helper-plugin-utils@^7.0.0", "@babel/helper-plugin-utils@^7.10.4", "@babel/helper-plugin-utils@^7.12.13", "@babel/helper-plugin-utils@^7.13.0", "@babel/helper-plugin-utils@^7.14.5", "@babel/helper-plugin-utils@^7.8.0", "@babel/helper-plugin-utils@^7.8.3": - version "7.14.5" - resolved "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.14.5.tgz" - integrity sha512-/37qQCE3K0vvZKwoK4XU/irIJQdIfCJuhU5eKnNxpFDsOkgFaUAwbv+RYw6eYgsC0E4hS7r5KqGULUogqui0fQ== - -"@babel/helper-plugin-utils@^7.16.7": +"@babel/helper-plugin-utils@^7.0.0", "@babel/helper-plugin-utils@^7.10.4", "@babel/helper-plugin-utils@^7.12.13", "@babel/helper-plugin-utils@^7.13.0", "@babel/helper-plugin-utils@^7.14.5", "@babel/helper-plugin-utils@^7.16.7", "@babel/helper-plugin-utils@^7.8.0", "@babel/helper-plugin-utils@^7.8.3": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-plugin-utils/-/helper-plugin-utils-7.16.7.tgz#aa3a8ab4c3cceff8e65eb9e73d87dc4ff320b2f5" + resolved "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.16.7.tgz" integrity sha512-Qg3Nk7ZxpgMrsox6HreY1ZNKdBq7K72tDSliA6dCl5f007jR4ne8iD5UzuNnCJH2xBf2BEEVGr+/OL6Gdp7RxA== "@babel/helper-remap-async-to-generator@^7.16.8": version "7.16.8" - resolved "https://registry.yarnpkg.com/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.16.8.tgz#29ffaade68a367e2ed09c90901986918d25e57e3" + resolved "https://registry.npmjs.org/@babel/helper-remap-async-to-generator/-/helper-remap-async-to-generator-7.16.8.tgz" integrity sha512-fm0gH7Flb8H51LqJHy3HJ3wnE1+qtYR2A99K06ahwrawLdOFsCEWjZOrYricXJHoPSudNKxrMBUPEIPxiIIvBw== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" @@ -294,7 +208,7 @@ "@babel/helper-replace-supers@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-replace-supers/-/helper-replace-supers-7.16.7.tgz#e9f5f5f32ac90429c1a4bdec0f231ef0c2838ab1" + resolved "https://registry.npmjs.org/@babel/helper-replace-supers/-/helper-replace-supers-7.16.7.tgz" integrity sha512-y9vsWilTNaVnVh6xiJfABzsNpgDPKev9HnAgz6Gb1p6UUwf9NepdlsV7VXGCftJM+jqD5f7JIEubcpLjZj5dBw== dependencies: "@babel/helper-environment-visitor" "^7.16.7" @@ -305,7 +219,7 @@ "@babel/helper-simple-access@^7.17.7": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/helper-simple-access/-/helper-simple-access-7.17.7.tgz#aaa473de92b7987c6dfa7ce9a7d9674724823367" + resolved "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.17.7.tgz" integrity sha512-txyMCGroZ96i+Pxr3Je3lzEJjqwaRC9buMUgtomcrLe5Nd0+fk1h0LLA+ixUF5OW7AhHuQ7Es1WcQJZmZsz2XA== dependencies: "@babel/types" "^7.17.0" @@ -317,43 +231,31 @@ dependencies: "@babel/types" "^7.16.0" -"@babel/helper-split-export-declaration@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.16.0.tgz" - integrity sha512-0YMMRpuDFNGTHNRiiqJX19GjNXA4H0E8jZ2ibccfSxaCogbm3am5WN/2nQNj0YnQwGWM1J06GOcQ2qnh3+0paw== - dependencies: - "@babel/types" "^7.16.0" - "@babel/helper-split-export-declaration@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.16.7.tgz#0b648c0c42da9d3920d85ad585f2778620b8726b" + resolved "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.16.7.tgz" integrity sha512-xbWoy/PFoxSWazIToT9Sif+jJTlrMcndIsaOKvTA6u7QEo7ilkRZpjew18/W3c7nm8fXdUDXh02VXTbZ0pGDNw== dependencies: "@babel/types" "^7.16.7" -"@babel/helper-validator-identifier@^7.15.7": - version "7.15.7" - resolved "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.15.7.tgz" - integrity sha512-K4JvCtQqad9OY2+yTU8w+E82ywk/fe+ELNlt1G8z3bVGlZfn/hOcQQsUhGhW/N+tb3fxK800wLtKOE/aM0m72w== - -"@babel/helper-validator-identifier@^7.16.7": - version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.16.7.tgz#e8c602438c4a8195751243da9031d1607d247cad" - integrity sha512-hsEnFemeiW4D08A5gUAZxLBTXpZ39P+a+DGDsHw1yxqyQ/jzFEnxf5uTEGp+3bzAbNOxU1paTgYS4ECU/IgfDw== +"@babel/helper-string-parser@^7.27.1": + version "7.27.1" + resolved "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz" + integrity sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA== -"@babel/helper-validator-option@^7.14.5": - version "7.14.5" - resolved "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.14.5.tgz" - integrity sha512-OX8D5eeX4XwcroVW45NMvoYaIuFI+GQpA2a8Gi+X/U/cDUIRsV37qQfF905F0htTRCREQIB4KqPeaveRJUl3Ow== +"@babel/helper-validator-identifier@^7.16.7", "@babel/helper-validator-identifier@^7.27.1": + version "7.27.1" + resolved "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz" + integrity sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow== "@babel/helper-validator-option@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.16.7.tgz#b203ce62ce5fe153899b617c08957de860de4d23" + resolved "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.16.7.tgz" integrity sha512-TRtenOuRUVo9oIQGPC5G9DgK4743cdxvtOw0weQNpZXaS16SCBi5MNjZF8vba3ETURjZpTbVn7Vvcf2eAwFozQ== "@babel/helper-wrap-function@^7.16.8": version "7.16.8" - resolved "https://registry.yarnpkg.com/@babel/helper-wrap-function/-/helper-wrap-function-7.16.8.tgz#58afda087c4cd235de92f7ceedebca2c41274200" + resolved "https://registry.npmjs.org/@babel/helper-wrap-function/-/helper-wrap-function-7.16.8.tgz" integrity sha512-8RpyRVIAW1RcDDGTA+GpPAwV22wXCfKOoM9bet6TLkGIFTkRQSkH1nMQ5Yet4MpoXe1ZwHPVtNasc2w0uZMqnw== dependencies: "@babel/helper-function-name" "^7.16.7" @@ -362,52 +264,30 @@ "@babel/types" "^7.16.8" "@babel/helpers@^7.17.8": - version "7.17.8" - resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.17.8.tgz#288450be8c6ac7e4e44df37bcc53d345e07bc106" - integrity sha512-QcL86FGxpfSJwGtAvv4iG93UL6bmqBdmoVY0CMCU2g+oD2ezQse3PT5Pa+jiD6LJndBQi0EDlpzOWNlLuhz5gw== - dependencies: - "@babel/template" "^7.16.7" - "@babel/traverse" "^7.17.3" - "@babel/types" "^7.17.0" - -"@babel/highlight@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/highlight/-/highlight-7.16.0.tgz" - integrity sha512-t8MH41kUQylBtu2+4IQA3atqevA2lRgqA2wyVB/YiWmsDSuylZZuXOUy9ric30hfzauEFfdsuk/eXTRrGrfd0g== + version "7.28.4" + resolved "https://registry.npmjs.org/@babel/helpers/-/helpers-7.28.4.tgz" + integrity sha512-HFN59MmQXGHVyYadKLVumYsA9dBFun/ldYxipEjzA4196jpLZd8UjEEBLkbEkvfYreDqJhZxYAWFPtrfhNpj4w== dependencies: - "@babel/helper-validator-identifier" "^7.15.7" - chalk "^2.0.0" - js-tokens "^4.0.0" + "@babel/template" "^7.27.2" + "@babel/types" "^7.28.4" -"@babel/highlight@^7.16.7": - version "7.16.10" - resolved "https://registry.yarnpkg.com/@babel/highlight/-/highlight-7.16.10.tgz#744f2eb81579d6eea753c227b0f570ad785aba88" - integrity sha512-5FnTQLSLswEj6IkgVw5KusNUUFY9ZGqe/TRFnP/BKYHYgfh7tc+C7mwiy95/yNP7Dh9x580Vv8r7u7ZfTBFxdw== +"@babel/parser@^7.17.8", "@babel/parser@^7.27.2", "@babel/parser@^7.28.3", "@babel/parser@^7.28.4": + version "7.28.4" + resolved "https://registry.npmjs.org/@babel/parser/-/parser-7.28.4.tgz" + integrity sha512-yZbBqeM6TkpP9du/I2pUZnJsRMGGvOuIrhjzC1AwHwW+6he4mni6Bp/m8ijn0iOuZuPI2BfkCoSRunpyjnrQKg== dependencies: - "@babel/helper-validator-identifier" "^7.16.7" - chalk "^2.0.0" - js-tokens "^4.0.0" - -"@babel/parser@^7.16.0", "@babel/parser@^7.16.3": - version "7.16.4" - resolved "https://registry.npmjs.org/@babel/parser/-/parser-7.16.4.tgz" - integrity sha512-6V0qdPUaiVHH3RtZeLIsc+6pDhbYzHR8ogA8w+f+Wc77DuXto19g2QUwveINoS34Uw+W8/hQDGJCx+i4n7xcng== - -"@babel/parser@^7.16.7", "@babel/parser@^7.17.3", "@babel/parser@^7.17.8": - version "7.17.8" - resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.17.8.tgz#2817fb9d885dd8132ea0f8eb615a6388cca1c240" - integrity sha512-BoHhDJrJXqcg+ZL16Xv39H9n+AqJ4pcDrQBGZN+wHxIysrLZ3/ECwCBUch/1zUNhnsXULcONU3Ei5Hmkfk6kiQ== + "@babel/types" "^7.28.4" "@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.16.7.tgz#4eda6d6c2a0aa79c70fa7b6da67763dfe2141050" + resolved "https://registry.npmjs.org/@babel/plugin-bugfix-safari-id-destructuring-collision-in-function-expression/-/plugin-bugfix-safari-id-destructuring-collision-in-function-expression-7.16.7.tgz" integrity sha512-anv/DObl7waiGEnC24O9zqL0pSuI9hljihqiDuFHC8d7/bjr/4RLGPWuc8rYOff/QPzbEPSkzG8wGG9aDuhHRg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining/-/plugin-bugfix-v8-spread-parameters-in-optional-chaining-7.16.7.tgz#cc001234dfc139ac45f6bcf801866198c8c72ff9" + resolved "https://registry.npmjs.org/@babel/plugin-bugfix-v8-spread-parameters-in-optional-chaining/-/plugin-bugfix-v8-spread-parameters-in-optional-chaining-7.16.7.tgz" integrity sha512-di8vUHRdf+4aJ7ltXhaDbPoszdkh59AQtJM5soLsuHpQJdFQZOA4uGj0V2u/CZ8bJ/u8ULDL5yq6FO/bCXnKHw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -416,7 +296,7 @@ "@babel/plugin-proposal-async-generator-functions@^7.16.8": version "7.16.8" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-async-generator-functions/-/plugin-proposal-async-generator-functions-7.16.8.tgz#3bdd1ebbe620804ea9416706cd67d60787504bc8" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-async-generator-functions/-/plugin-proposal-async-generator-functions-7.16.8.tgz" integrity sha512-71YHIvMuiuqWJQkebWJtdhQTfd4Q4mF76q2IX37uZPkG9+olBxsX+rH1vkhFto4UeJZ9dPY2s+mDvhDm1u2BGQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -425,7 +305,7 @@ "@babel/plugin-proposal-class-properties@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-class-properties/-/plugin-proposal-class-properties-7.16.7.tgz#925cad7b3b1a2fcea7e59ecc8eb5954f961f91b0" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-class-properties/-/plugin-proposal-class-properties-7.16.7.tgz" integrity sha512-IobU0Xme31ewjYOShSIqd/ZGM/r/cuOz2z0MDbNrhF5FW+ZVgi0f2lyeoj9KFPDOAqsYxmLWZte1WOwlvY9aww== dependencies: "@babel/helper-create-class-features-plugin" "^7.16.7" @@ -433,7 +313,7 @@ "@babel/plugin-proposal-class-static-block@^7.16.7": version "7.17.6" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-class-static-block/-/plugin-proposal-class-static-block-7.17.6.tgz#164e8fd25f0d80fa48c5a4d1438a6629325ad83c" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-class-static-block/-/plugin-proposal-class-static-block-7.17.6.tgz" integrity sha512-X/tididvL2zbs7jZCeeRJ8167U/+Ac135AM6jCAx6gYXDUviZV5Ku9UDvWS2NCuWlFjIRXklYhwo6HhAC7ETnA== dependencies: "@babel/helper-create-class-features-plugin" "^7.17.6" @@ -442,7 +322,7 @@ "@babel/plugin-proposal-dynamic-import@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-dynamic-import/-/plugin-proposal-dynamic-import-7.16.7.tgz#c19c897eaa46b27634a00fee9fb7d829158704b2" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-dynamic-import/-/plugin-proposal-dynamic-import-7.16.7.tgz" integrity sha512-I8SW9Ho3/8DRSdmDdH3gORdyUuYnk1m4cMxUAdu5oy4n3OfN8flDEH+d60iG7dUfi0KkYwSvoalHzzdRzpWHTg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -450,7 +330,7 @@ "@babel/plugin-proposal-export-namespace-from@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-export-namespace-from/-/plugin-proposal-export-namespace-from-7.16.7.tgz#09de09df18445a5786a305681423ae63507a6163" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-export-namespace-from/-/plugin-proposal-export-namespace-from-7.16.7.tgz" integrity sha512-ZxdtqDXLRGBL64ocZcs7ovt71L3jhC1RGSyR996svrCi3PYqHNkb3SwPJCs8RIzD86s+WPpt2S73+EHCGO+NUA== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -458,7 +338,7 @@ "@babel/plugin-proposal-json-strings@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-json-strings/-/plugin-proposal-json-strings-7.16.7.tgz#9732cb1d17d9a2626a08c5be25186c195b6fa6e8" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-json-strings/-/plugin-proposal-json-strings-7.16.7.tgz" integrity sha512-lNZ3EEggsGY78JavgbHsK9u5P3pQaW7k4axlgFLYkMd7UBsiNahCITShLjNQschPyjtO6dADrL24757IdhBrsQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -466,7 +346,7 @@ "@babel/plugin-proposal-logical-assignment-operators@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-logical-assignment-operators/-/plugin-proposal-logical-assignment-operators-7.16.7.tgz#be23c0ba74deec1922e639832904be0bea73cdea" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-logical-assignment-operators/-/plugin-proposal-logical-assignment-operators-7.16.7.tgz" integrity sha512-K3XzyZJGQCr00+EtYtrDjmwX7o7PLK6U9bi1nCwkQioRFVUv6dJoxbQjtWVtP+bCPy82bONBKG8NPyQ4+i6yjg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -474,7 +354,7 @@ "@babel/plugin-proposal-nullish-coalescing-operator@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.16.7.tgz#141fc20b6857e59459d430c850a0011e36561d99" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-nullish-coalescing-operator/-/plugin-proposal-nullish-coalescing-operator-7.16.7.tgz" integrity sha512-aUOrYU3EVtjf62jQrCj63pYZ7k6vns2h/DQvHPWGmsJRYzWXZ6/AsfgpiRy6XiuIDADhJzP2Q9MwSMKauBQ+UQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -482,7 +362,7 @@ "@babel/plugin-proposal-numeric-separator@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-numeric-separator/-/plugin-proposal-numeric-separator-7.16.7.tgz#d6b69f4af63fb38b6ca2558442a7fb191236eba9" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-numeric-separator/-/plugin-proposal-numeric-separator-7.16.7.tgz" integrity sha512-vQgPMknOIgiuVqbokToyXbkY/OmmjAzr/0lhSIbG/KmnzXPGwW/AdhdKpi+O4X/VkWiWjnkKOBiqJrTaC98VKw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -490,7 +370,7 @@ "@babel/plugin-proposal-object-rest-spread@^7.16.7": version "7.17.3" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-object-rest-spread/-/plugin-proposal-object-rest-spread-7.17.3.tgz#d9eb649a54628a51701aef7e0ea3d17e2b9dd390" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-object-rest-spread/-/plugin-proposal-object-rest-spread-7.17.3.tgz" integrity sha512-yuL5iQA/TbZn+RGAfxQXfi7CNLmKi1f8zInn4IgobuCWcAb7i+zj4TYzQ9l8cEzVyJ89PDGuqxK1xZpUDISesw== dependencies: "@babel/compat-data" "^7.17.0" @@ -501,7 +381,7 @@ "@babel/plugin-proposal-optional-catch-binding@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-optional-catch-binding/-/plugin-proposal-optional-catch-binding-7.16.7.tgz#c623a430674ffc4ab732fd0a0ae7722b67cb74cf" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-optional-catch-binding/-/plugin-proposal-optional-catch-binding-7.16.7.tgz" integrity sha512-eMOH/L4OvWSZAE1VkHbr1vckLG1WUcHGJSLqqQwl2GaUqG6QjddvrOaTUMNYiv77H5IKPMZ9U9P7EaHwvAShfA== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -509,7 +389,7 @@ "@babel/plugin-proposal-optional-chaining@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-optional-chaining/-/plugin-proposal-optional-chaining-7.16.7.tgz#7cd629564724816c0e8a969535551f943c64c39a" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-optional-chaining/-/plugin-proposal-optional-chaining-7.16.7.tgz" integrity sha512-eC3xy+ZrUcBtP7x+sq62Q/HYd674pPTb/77XZMb5wbDPGWIdUbSr4Agr052+zaUPSb+gGRnjxXfKFvx5iMJ+DA== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -518,7 +398,7 @@ "@babel/plugin-proposal-private-methods@^7.16.11": version "7.16.11" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-private-methods/-/plugin-proposal-private-methods-7.16.11.tgz#e8df108288555ff259f4527dbe84813aac3a1c50" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-private-methods/-/plugin-proposal-private-methods-7.16.11.tgz" integrity sha512-F/2uAkPlXDr8+BHpZvo19w3hLFKge+k75XUprE6jaqKxjGkSYcK+4c+bup5PdW/7W/Rpjwql7FTVEDW+fRAQsw== dependencies: "@babel/helper-create-class-features-plugin" "^7.16.10" @@ -526,7 +406,7 @@ "@babel/plugin-proposal-private-property-in-object@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-private-property-in-object/-/plugin-proposal-private-property-in-object-7.16.7.tgz#b0b8cef543c2c3d57e59e2c611994861d46a3fce" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-private-property-in-object/-/plugin-proposal-private-property-in-object-7.16.7.tgz" integrity sha512-rMQkjcOFbm+ufe3bTZLyOfsOUOxyvLXZJCTARhJr+8UMSoZmqTe1K1BgkFcrW37rAchWg57yI69ORxiWvUINuQ== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" @@ -534,22 +414,14 @@ "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-syntax-private-property-in-object" "^7.14.5" -"@babel/plugin-proposal-unicode-property-regex@^7.16.7": +"@babel/plugin-proposal-unicode-property-regex@^7.16.7", "@babel/plugin-proposal-unicode-property-regex@^7.4.4": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-proposal-unicode-property-regex/-/plugin-proposal-unicode-property-regex-7.16.7.tgz#635d18eb10c6214210ffc5ff4932552de08188a2" + resolved "https://registry.npmjs.org/@babel/plugin-proposal-unicode-property-regex/-/plugin-proposal-unicode-property-regex-7.16.7.tgz" integrity sha512-QRK0YI/40VLhNVGIjRNAAQkEHws0cswSdFFjpFyt943YmJIU1da9uW63Iu6NFV6CxTZW5eTDCrwZUstBWgp/Rg== dependencies: "@babel/helper-create-regexp-features-plugin" "^7.16.7" "@babel/helper-plugin-utils" "^7.16.7" -"@babel/plugin-proposal-unicode-property-regex@^7.4.4": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/plugin-proposal-unicode-property-regex/-/plugin-proposal-unicode-property-regex-7.16.0.tgz" - integrity sha512-ti7IdM54NXv29cA4+bNNKEMS4jLMCbJgl+Drv+FgYy0erJLAxNAIXcNjNjrRZEcWq0xJHsNVwQezskMFpF8N9g== - dependencies: - "@babel/helper-create-regexp-features-plugin" "^7.16.0" - "@babel/helper-plugin-utils" "^7.14.5" - "@babel/plugin-syntax-async-generators@^7.8.4": version "7.8.4" resolved "https://registry.npmjs.org/@babel/plugin-syntax-async-generators/-/plugin-syntax-async-generators-7.8.4.tgz" @@ -594,7 +466,7 @@ "@babel/plugin-syntax-jsx@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.16.7.tgz#50b6571d13f764266a113d77c82b4a6508bbe665" + resolved "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.16.7.tgz" integrity sha512-Esxmk7YjA8QysKeT3VhTXvF6y77f/a91SIs4pWb4H2eWGQkCKFgQaG6hdoEVZtGsrAcb2K5BW66XsOErD4WU3Q== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -657,14 +529,14 @@ "@babel/plugin-transform-arrow-functions@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.16.7.tgz#44125e653d94b98db76369de9c396dc14bef4154" + resolved "https://registry.npmjs.org/@babel/plugin-transform-arrow-functions/-/plugin-transform-arrow-functions-7.16.7.tgz" integrity sha512-9ffkFFMbvzTvv+7dTp/66xvZAWASuPD5Tl9LK3Z9vhOmANo6j94rik+5YMBt4CwHVMWLWpMsriIc2zsa3WW3xQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-async-to-generator@^7.16.8": version "7.16.8" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.16.8.tgz#b83dff4b970cf41f1b819f8b49cc0cfbaa53a808" + resolved "https://registry.npmjs.org/@babel/plugin-transform-async-to-generator/-/plugin-transform-async-to-generator-7.16.8.tgz" integrity sha512-MtmUmTJQHCnyJVrScNzNlofQJ3dLFuobYn3mwOTKHnSCMtbNsqvF71GQmJfFjdrXSsAA7iysFmYWw4bXZ20hOg== dependencies: "@babel/helper-module-imports" "^7.16.7" @@ -673,21 +545,21 @@ "@babel/plugin-transform-block-scoped-functions@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.16.7.tgz#4d0d57d9632ef6062cdf354bb717102ee042a620" + resolved "https://registry.npmjs.org/@babel/plugin-transform-block-scoped-functions/-/plugin-transform-block-scoped-functions-7.16.7.tgz" integrity sha512-JUuzlzmF40Z9cXyytcbZEZKckgrQzChbQJw/5PuEHYeqzCsvebDx0K0jWnIIVcmmDOAVctCgnYs0pMcrYj2zJg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-block-scoping@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.16.7.tgz#f50664ab99ddeaee5bc681b8f3a6ea9d72ab4f87" + resolved "https://registry.npmjs.org/@babel/plugin-transform-block-scoping/-/plugin-transform-block-scoping-7.16.7.tgz" integrity sha512-ObZev2nxVAYA4bhyusELdo9hb3H+A56bxH3FZMbEImZFiEDYVHXQSJ1hQKFlDnlt8G9bBrCZ5ZpURZUrV4G5qQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-classes@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-classes/-/plugin-transform-classes-7.16.7.tgz#8f4b9562850cd973de3b498f1218796eb181ce00" + resolved "https://registry.npmjs.org/@babel/plugin-transform-classes/-/plugin-transform-classes-7.16.7.tgz" integrity sha512-WY7og38SFAGYRe64BrjKf8OrE6ulEHtr5jEYaZMwox9KebgqPi67Zqz8K53EKk1fFEJgm96r32rkKZ3qA2nCWQ== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" @@ -701,44 +573,36 @@ "@babel/plugin-transform-computed-properties@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.16.7.tgz#66dee12e46f61d2aae7a73710f591eb3df616470" + resolved "https://registry.npmjs.org/@babel/plugin-transform-computed-properties/-/plugin-transform-computed-properties-7.16.7.tgz" integrity sha512-gN72G9bcmenVILj//sv1zLNaPyYcOzUho2lIJBMh/iakJ9ygCo/hEF9cpGb61SCMEDxbbyBoVQxrt+bWKu5KGw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-destructuring@^7.16.7": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.17.7.tgz#49dc2675a7afa9a5e4c6bdee636061136c3408d1" + resolved "https://registry.npmjs.org/@babel/plugin-transform-destructuring/-/plugin-transform-destructuring-7.17.7.tgz" integrity sha512-XVh0r5yq9sLR4vZ6eVZe8FKfIcSgaTBxVBRSYokRj2qksf6QerYnTxz9/GTuKTH/n/HwLP7t6gtlybHetJ/6hQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" -"@babel/plugin-transform-dotall-regex@^7.16.7": +"@babel/plugin-transform-dotall-regex@^7.16.7", "@babel/plugin-transform-dotall-regex@^7.4.4": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.16.7.tgz#6b2d67686fab15fb6a7fd4bd895d5982cfc81241" + resolved "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.16.7.tgz" integrity sha512-Lyttaao2SjZF6Pf4vk1dVKv8YypMpomAbygW+mU5cYP3S5cWTfCJjG8xV6CFdzGFlfWK81IjL9viiTvpb6G7gQ== dependencies: "@babel/helper-create-regexp-features-plugin" "^7.16.7" "@babel/helper-plugin-utils" "^7.16.7" -"@babel/plugin-transform-dotall-regex@^7.4.4": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/plugin-transform-dotall-regex/-/plugin-transform-dotall-regex-7.16.0.tgz" - integrity sha512-FXlDZfQeLILfJlC6I1qyEwcHK5UpRCFkaoVyA1nk9A1L1Yu583YO4un2KsLBsu3IJb4CUbctZks8tD9xPQubLw== - dependencies: - "@babel/helper-create-regexp-features-plugin" "^7.16.0" - "@babel/helper-plugin-utils" "^7.14.5" - "@babel/plugin-transform-duplicate-keys@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.16.7.tgz#2207e9ca8f82a0d36a5a67b6536e7ef8b08823c9" + resolved "https://registry.npmjs.org/@babel/plugin-transform-duplicate-keys/-/plugin-transform-duplicate-keys-7.16.7.tgz" integrity sha512-03DvpbRfvWIXyK0/6QiR1KMTWeT6OcQ7tbhjrXyFS02kjuX/mu5Bvnh5SDSWHxyawit2g5aWhKwI86EE7GUnTw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-exponentiation-operator@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.16.7.tgz#efa9862ef97e9e9e5f653f6ddc7b665e8536fe9b" + resolved "https://registry.npmjs.org/@babel/plugin-transform-exponentiation-operator/-/plugin-transform-exponentiation-operator-7.16.7.tgz" integrity sha512-8UYLSlyLgRixQvlYH3J2ekXFHDFLQutdy7FfFAMm3CPZ6q9wHCwnUyiXpQCe3gVVnQlHc5nsuiEVziteRNTXEA== dependencies: "@babel/helper-builder-binary-assignment-operator-visitor" "^7.16.7" @@ -746,14 +610,14 @@ "@babel/plugin-transform-for-of@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.16.7.tgz#649d639d4617dff502a9a158c479b3b556728d8c" + resolved "https://registry.npmjs.org/@babel/plugin-transform-for-of/-/plugin-transform-for-of-7.16.7.tgz" integrity sha512-/QZm9W92Ptpw7sjI9Nx1mbcsWz33+l8kuMIQnDwgQBG5s3fAfQvkRjQ7NqXhtNcKOnPkdICmUHyCaWW06HCsqg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-function-name@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.16.7.tgz#5ab34375c64d61d083d7d2f05c38d90b97ec65cf" + resolved "https://registry.npmjs.org/@babel/plugin-transform-function-name/-/plugin-transform-function-name-7.16.7.tgz" integrity sha512-SU/C68YVwTRxqWj5kgsbKINakGag0KTgq9f2iZEXdStoAbOzLHEBRYzImmA6yFo8YZhJVflvXmIHUO7GWHmxxA== dependencies: "@babel/helper-compilation-targets" "^7.16.7" @@ -762,21 +626,21 @@ "@babel/plugin-transform-literals@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-literals/-/plugin-transform-literals-7.16.7.tgz#254c9618c5ff749e87cb0c0cef1a0a050c0bdab1" + resolved "https://registry.npmjs.org/@babel/plugin-transform-literals/-/plugin-transform-literals-7.16.7.tgz" integrity sha512-6tH8RTpTWI0s2sV6uq3e/C9wPo4PTqqZps4uF0kzQ9/xPLFQtipynvmT1g/dOfEJ+0EQsHhkQ/zyRId8J2b8zQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-member-expression-literals@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.16.7.tgz#6e5dcf906ef8a098e630149d14c867dd28f92384" + resolved "https://registry.npmjs.org/@babel/plugin-transform-member-expression-literals/-/plugin-transform-member-expression-literals-7.16.7.tgz" integrity sha512-mBruRMbktKQwbxaJof32LT9KLy2f3gH+27a5XSuXo6h7R3vqltl0PgZ80C8ZMKw98Bf8bqt6BEVi3svOh2PzMw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-modules-amd@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.16.7.tgz#b28d323016a7daaae8609781d1f8c9da42b13186" + resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-amd/-/plugin-transform-modules-amd-7.16.7.tgz" integrity sha512-KaaEtgBL7FKYwjJ/teH63oAmE3lP34N3kshz8mm4VMAw7U3PxjVwwUmxEFksbgsNUaO3wId9R2AVQYSEGRa2+g== dependencies: "@babel/helper-module-transforms" "^7.16.7" @@ -785,7 +649,7 @@ "@babel/plugin-transform-modules-commonjs@^7.16.8": version "7.17.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.17.7.tgz#d86b217c8e45bb5f2dbc11eefc8eab62cf980d19" + resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-commonjs/-/plugin-transform-modules-commonjs-7.17.7.tgz" integrity sha512-ITPmR2V7MqioMJyrxUo2onHNC3e+MvfFiFIR0RP21d3PtlVb6sfzoxNKiphSZUOM9hEIdzCcZe83ieX3yoqjUA== dependencies: "@babel/helper-module-transforms" "^7.17.7" @@ -795,7 +659,7 @@ "@babel/plugin-transform-modules-systemjs@^7.16.7": version "7.17.8" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.17.8.tgz#81fd834024fae14ea78fbe34168b042f38703859" + resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-systemjs/-/plugin-transform-modules-systemjs-7.17.8.tgz" integrity sha512-39reIkMTUVagzgA5x88zDYXPCMT6lcaRKs1+S9K6NKBPErbgO/w/kP8GlNQTC87b412ZTlmNgr3k2JrWgHH+Bw== dependencies: "@babel/helper-hoist-variables" "^7.16.7" @@ -806,7 +670,7 @@ "@babel/plugin-transform-modules-umd@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.16.7.tgz#23dad479fa585283dbd22215bff12719171e7618" + resolved "https://registry.npmjs.org/@babel/plugin-transform-modules-umd/-/plugin-transform-modules-umd-7.16.7.tgz" integrity sha512-EMh7uolsC8O4xhudF2F6wedbSHm1HHZ0C6aJ7K67zcDNidMzVcxWdGr+htW9n21klm+bOn+Rx4CBsAntZd3rEQ== dependencies: "@babel/helper-module-transforms" "^7.16.7" @@ -814,21 +678,21 @@ "@babel/plugin-transform-named-capturing-groups-regex@^7.16.8": version "7.16.8" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.16.8.tgz#7f860e0e40d844a02c9dcf9d84965e7dfd666252" + resolved "https://registry.npmjs.org/@babel/plugin-transform-named-capturing-groups-regex/-/plugin-transform-named-capturing-groups-regex-7.16.8.tgz" integrity sha512-j3Jw+n5PvpmhRR+mrgIh04puSANCk/T/UA3m3P1MjJkhlK906+ApHhDIqBQDdOgL/r1UYpz4GNclTXxyZrYGSw== dependencies: "@babel/helper-create-regexp-features-plugin" "^7.16.7" "@babel/plugin-transform-new-target@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.16.7.tgz#9967d89a5c243818e0800fdad89db22c5f514244" + resolved "https://registry.npmjs.org/@babel/plugin-transform-new-target/-/plugin-transform-new-target-7.16.7.tgz" integrity sha512-xiLDzWNMfKoGOpc6t3U+etCE2yRnn3SM09BXqWPIZOBpL2gvVrBWUKnsJx0K/ADi5F5YC5f8APFfWrz25TdlGg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-object-super@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.16.7.tgz#ac359cf8d32cf4354d27a46867999490b6c32a94" + resolved "https://registry.npmjs.org/@babel/plugin-transform-object-super/-/plugin-transform-object-super-7.16.7.tgz" integrity sha512-14J1feiQVWaGvRxj2WjyMuXS2jsBkgB3MdSN5HuC2G5nRspa5RK9COcs82Pwy5BuGcjb+fYaUj94mYcOj7rCvw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -836,35 +700,35 @@ "@babel/plugin-transform-parameters@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.16.7.tgz#a1721f55b99b736511cb7e0152f61f17688f331f" + resolved "https://registry.npmjs.org/@babel/plugin-transform-parameters/-/plugin-transform-parameters-7.16.7.tgz" integrity sha512-AT3MufQ7zZEhU2hwOA11axBnExW0Lszu4RL/tAlUJBuNoRak+wehQW8h6KcXOcgjY42fHtDxswuMhMjFEuv/aw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-property-literals@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.16.7.tgz#2dadac85155436f22c696c4827730e0fe1057a55" + resolved "https://registry.npmjs.org/@babel/plugin-transform-property-literals/-/plugin-transform-property-literals-7.16.7.tgz" integrity sha512-z4FGr9NMGdoIl1RqavCqGG+ZuYjfZ/hkCIeuH6Do7tXmSm0ls11nYVSJqFEUOSJbDab5wC6lRE/w6YjVcr6Hqw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-react-display-name@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.16.7.tgz#7b6d40d232f4c0f550ea348593db3b21e2404340" + resolved "https://registry.npmjs.org/@babel/plugin-transform-react-display-name/-/plugin-transform-react-display-name-7.16.7.tgz" integrity sha512-qgIg8BcZgd0G/Cz916D5+9kqX0c7nPZyXaP8R2tLNN5tkyIZdG5fEwBrxwplzSnjC1jvQmyMNVwUCZPcbGY7Pg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-react-jsx-development@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-react-jsx-development/-/plugin-transform-react-jsx-development-7.16.7.tgz#43a00724a3ed2557ed3f276a01a929e6686ac7b8" + resolved "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-development/-/plugin-transform-react-jsx-development-7.16.7.tgz" integrity sha512-RMvQWvpla+xy6MlBpPlrKZCMRs2AGiHOGHY3xRwl0pEeim348dDyxeH4xBsMPbIMhujeq7ihE702eM2Ew0Wo+A== dependencies: "@babel/plugin-transform-react-jsx" "^7.16.7" "@babel/plugin-transform-react-jsx@^7.16.7": version "7.17.3" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-react-jsx/-/plugin-transform-react-jsx-7.17.3.tgz#eac1565da176ccb1a715dae0b4609858808008c1" + resolved "https://registry.npmjs.org/@babel/plugin-transform-react-jsx/-/plugin-transform-react-jsx-7.17.3.tgz" integrity sha512-9tjBm4O07f7mzKSIlEmPdiE6ub7kfIe6Cd+w+oQebpATfTQMAgW+YOuWxogbKVTulA+MEO7byMeIUtQ1z+z+ZQ== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" @@ -875,7 +739,7 @@ "@babel/plugin-transform-react-pure-annotations@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.16.7.tgz#232bfd2f12eb551d6d7d01d13fe3f86b45eb9c67" + resolved "https://registry.npmjs.org/@babel/plugin-transform-react-pure-annotations/-/plugin-transform-react-pure-annotations-7.16.7.tgz" integrity sha512-hs71ToC97k3QWxswh2ElzMFABXHvGiJ01IB1TbYQDGeWRKWz/MPUTh5jGExdHvosYKpnJW5Pm3S4+TA3FyX+GA== dependencies: "@babel/helper-annotate-as-pure" "^7.16.7" @@ -883,28 +747,28 @@ "@babel/plugin-transform-regenerator@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.16.7.tgz#9e7576dc476cb89ccc5096fff7af659243b4adeb" + resolved "https://registry.npmjs.org/@babel/plugin-transform-regenerator/-/plugin-transform-regenerator-7.16.7.tgz" integrity sha512-mF7jOgGYCkSJagJ6XCujSQg+6xC1M77/03K2oBmVJWoFGNUtnVJO4WHKJk3dnPC8HCcj4xBQP1Egm8DWh3Pb3Q== dependencies: regenerator-transform "^0.14.2" "@babel/plugin-transform-reserved-words@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.16.7.tgz#1d798e078f7c5958eec952059c460b220a63f586" + resolved "https://registry.npmjs.org/@babel/plugin-transform-reserved-words/-/plugin-transform-reserved-words-7.16.7.tgz" integrity sha512-KQzzDnZ9hWQBjwi5lpY5v9shmm6IVG0U9pB18zvMu2i4H90xpT4gmqwPYsn8rObiadYe2M0gmgsiOIF5A/2rtg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-shorthand-properties@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.16.7.tgz#e8549ae4afcf8382f711794c0c7b6b934c5fbd2a" + resolved "https://registry.npmjs.org/@babel/plugin-transform-shorthand-properties/-/plugin-transform-shorthand-properties-7.16.7.tgz" integrity sha512-hah2+FEnoRoATdIb05IOXf+4GzXYTq75TVhIn1PewihbpyrNWUt2JbudKQOETWw6QpLe+AIUpJ5MVLYTQbeeUg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-spread@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-spread/-/plugin-transform-spread-7.16.7.tgz#a303e2122f9f12e0105daeedd0f30fb197d8ff44" + resolved "https://registry.npmjs.org/@babel/plugin-transform-spread/-/plugin-transform-spread-7.16.7.tgz" integrity sha512-+pjJpgAngb53L0iaA5gU/1MLXJIfXcYepLgXB3esVRf4fqmj8f2cxM3/FKaHsZms08hFQJkFccEWuIpm429TXg== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -912,35 +776,35 @@ "@babel/plugin-transform-sticky-regex@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.16.7.tgz#c84741d4f4a38072b9a1e2e3fd56d359552e8660" + resolved "https://registry.npmjs.org/@babel/plugin-transform-sticky-regex/-/plugin-transform-sticky-regex-7.16.7.tgz" integrity sha512-NJa0Bd/87QV5NZZzTuZG5BPJjLYadeSZ9fO6oOUoL4iQx+9EEuw/eEM92SrsT19Yc2jgB1u1hsjqDtH02c3Drw== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-template-literals@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.16.7.tgz#f3d1c45d28967c8e80f53666fc9c3e50618217ab" + resolved "https://registry.npmjs.org/@babel/plugin-transform-template-literals/-/plugin-transform-template-literals-7.16.7.tgz" integrity sha512-VwbkDDUeenlIjmfNeDX/V0aWrQH2QiVyJtwymVQSzItFDTpxfyJh3EVaQiS0rIN/CqbLGr0VcGmuwyTdZtdIsA== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-typeof-symbol@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.16.7.tgz#9cdbe622582c21368bd482b660ba87d5545d4f7e" + resolved "https://registry.npmjs.org/@babel/plugin-transform-typeof-symbol/-/plugin-transform-typeof-symbol-7.16.7.tgz" integrity sha512-p2rOixCKRJzpg9JB4gjnG4gjWkWa89ZoYUnl9snJ1cWIcTH/hvxZqfO+WjG6T8DRBpctEol5jw1O5rA8gkCokQ== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-unicode-escapes@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.16.7.tgz#da8717de7b3287a2c6d659750c964f302b31ece3" + resolved "https://registry.npmjs.org/@babel/plugin-transform-unicode-escapes/-/plugin-transform-unicode-escapes-7.16.7.tgz" integrity sha512-TAV5IGahIz3yZ9/Hfv35TV2xEm+kaBDaZQCn2S/hG9/CZ0DktxJv9eKfPc7yYCvOYR4JGx1h8C+jcSOvgaaI/Q== dependencies: "@babel/helper-plugin-utils" "^7.16.7" "@babel/plugin-transform-unicode-regex@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.16.7.tgz#0f7aa4a501198976e25e82702574c34cfebe9ef2" + resolved "https://registry.npmjs.org/@babel/plugin-transform-unicode-regex/-/plugin-transform-unicode-regex-7.16.7.tgz" integrity sha512-oC5tYYKw56HO75KZVLQ+R/Nl3Hro9kf8iG0hXoaHP7tjAyCpvqBiSNe6vGrZni1Z6MggmUOC6A7VP7AVmw225Q== dependencies: "@babel/helper-create-regexp-features-plugin" "^7.16.7" @@ -948,7 +812,7 @@ "@babel/preset-env@^7.16.11": version "7.16.11" - resolved "https://registry.yarnpkg.com/@babel/preset-env/-/preset-env-7.16.11.tgz#5dd88fd885fae36f88fd7c8342475c9f0abe2982" + resolved "https://registry.npmjs.org/@babel/preset-env/-/preset-env-7.16.11.tgz" integrity sha512-qcmWG8R7ZW6WBRPZK//y+E3Cli151B20W1Rv7ln27vuPaXU/8TKms6jFdiJtF7UDTxcrb7mZd88tAeK9LjdT8g== dependencies: "@babel/compat-data" "^7.16.8" @@ -1039,7 +903,7 @@ "@babel/preset-react@^7.16.7": version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/preset-react/-/preset-react-7.16.7.tgz#4c18150491edc69c183ff818f9f2aecbe5d93852" + resolved "https://registry.npmjs.org/@babel/preset-react/-/preset-react-7.16.7.tgz" integrity sha512-fWpyI8UM/HE6DfPBzD8LnhQ/OcH8AgTaqcqP2nGOXEUV+VKBR5JRN9hCk9ai+zQQ57vtm9oWeXguBCPNUjytgA== dependencies: "@babel/helper-plugin-utils" "^7.16.7" @@ -1050,80 +914,43 @@ "@babel/plugin-transform-react-pure-annotations" "^7.16.7" "@babel/runtime@^7.14.8", "@babel/runtime@^7.8.4": - version "7.16.3" - resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.16.3.tgz" - integrity sha512-WBwekcqacdY2e9AF/Q7WLFUWmdJGJTkbjqTjoMDgXkVZ3ZRUvOPsLb5KdwISoQVsbP+DQzVZW4Zhci0DvpbNTQ== - dependencies: - regenerator-runtime "^0.13.4" - -"@babel/template@^7.16.0": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/template/-/template-7.16.0.tgz" - integrity sha512-MnZdpFD/ZdYhXwiunMqqgyZyucaYsbL0IrjoGjaVhGilz+x8YB++kRfygSOIj1yOtWKPlx7NBp+9I1RQSgsd5A== - dependencies: - "@babel/code-frame" "^7.16.0" - "@babel/parser" "^7.16.0" - "@babel/types" "^7.16.0" - -"@babel/template@^7.16.7": - version "7.16.7" - resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.16.7.tgz#8d126c8701fde4d66b264b3eba3d96f07666d155" - integrity sha512-I8j/x8kHUrbYRTUxXrrMbfCa7jxkE7tZre39x3kjr9hvI82cK1FfqLygotcWN5kdPGWcLdWMHpSBavse5tWw3w== - dependencies: - "@babel/code-frame" "^7.16.7" - "@babel/parser" "^7.16.7" - "@babel/types" "^7.16.7" - -"@babel/traverse@^7.13.0": - version "7.16.3" - resolved "https://registry.npmjs.org/@babel/traverse/-/traverse-7.16.3.tgz" - integrity sha512-eolumr1vVMjqevCpwVO99yN/LoGL0EyHiLO5I043aYQvwOJ9eR5UsZSClHVCzfhBduMAsSzgA/6AyqPjNayJag== - dependencies: - "@babel/code-frame" "^7.16.0" - "@babel/generator" "^7.16.0" - "@babel/helper-function-name" "^7.16.0" - "@babel/helper-hoist-variables" "^7.16.0" - "@babel/helper-split-export-declaration" "^7.16.0" - "@babel/parser" "^7.16.3" - "@babel/types" "^7.16.0" - debug "^4.1.0" - globals "^11.1.0" - -"@babel/traverse@^7.16.7", "@babel/traverse@^7.16.8", "@babel/traverse@^7.17.3": - version "7.17.3" - resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.17.3.tgz#0ae0f15b27d9a92ba1f2263358ea7c4e7db47b57" - integrity sha512-5irClVky7TxRWIRtxlh2WPUUOLhcPN06AGgaQSB8AEwuyEBgJVuJ5imdHm5zxk8w0QS5T+tDfnDxAlhWjpb7cw== - dependencies: - "@babel/code-frame" "^7.16.7" - "@babel/generator" "^7.17.3" - "@babel/helper-environment-visitor" "^7.16.7" - "@babel/helper-function-name" "^7.16.7" - "@babel/helper-hoist-variables" "^7.16.7" - "@babel/helper-split-export-declaration" "^7.16.7" - "@babel/parser" "^7.17.3" - "@babel/types" "^7.17.0" - debug "^4.1.0" - globals "^11.1.0" - -"@babel/types@^7.16.0", "@babel/types@^7.4.4": - version "7.16.0" - resolved "https://registry.npmjs.org/@babel/types/-/types-7.16.0.tgz" - integrity sha512-PJgg/k3SdLsGb3hhisFvtLOw5ts113klrpLuIPtCJIU+BB24fqq6lf8RWqKJEjzqXR9AEH1rIb5XTqwBHB+kQg== - dependencies: - "@babel/helper-validator-identifier" "^7.15.7" - to-fast-properties "^2.0.0" - -"@babel/types@^7.16.7", "@babel/types@^7.16.8", "@babel/types@^7.17.0": - version "7.17.0" - resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.17.0.tgz#a826e368bccb6b3d84acd76acad5c0d87342390b" - integrity sha512-TmKSNO4D5rzhL5bjWFcVHHLETzfQ/AmbKpKPOSjlP0WoHZ6L911fgoOKY4Alp/emzG4cHJdyN49zpgkbXFEHHw== - dependencies: - "@babel/helper-validator-identifier" "^7.16.7" - to-fast-properties "^2.0.0" + version "7.28.4" + resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.28.4.tgz" + integrity sha512-Q/N6JNWvIvPnLDvjlE1OUBLPQHH6l3CltCEsHIujp45zQUSSh8K+gHnaEX45yAT1nyngnINhvWtzN+Nb9D8RAQ== + +"@babel/template@^7.16.7", "@babel/template@^7.27.2": + version "7.27.2" + resolved "https://registry.npmjs.org/@babel/template/-/template-7.27.2.tgz" + integrity sha512-LPDZ85aEJyYSd18/DkjNh4/y1ntkE5KwUHWTiqgRxruuZL2F1yuHligVHLvcHY2vMHXttKFpJn6LwfI7cw7ODw== + dependencies: + "@babel/code-frame" "^7.27.1" + "@babel/parser" "^7.27.2" + "@babel/types" "^7.27.1" + +"@babel/traverse@^7.13.0", "@babel/traverse@^7.16.7", "@babel/traverse@^7.16.8", "@babel/traverse@^7.17.3": + version "7.28.4" + resolved "https://registry.npmjs.org/@babel/traverse/-/traverse-7.28.4.tgz" + integrity sha512-YEzuboP2qvQavAcjgQNVgsvHIDv6ZpwXvcvjmyySP2DIMuByS/6ioU5G9pYrWHM6T2YDfc7xga9iNzYOs12CFQ== + dependencies: + "@babel/code-frame" "^7.27.1" + "@babel/generator" "^7.28.3" + "@babel/helper-globals" "^7.28.0" + "@babel/parser" "^7.28.4" + "@babel/template" "^7.27.2" + "@babel/types" "^7.28.4" + debug "^4.3.1" + +"@babel/types@^7.16.0", "@babel/types@^7.16.7", "@babel/types@^7.16.8", "@babel/types@^7.17.0", "@babel/types@^7.27.1", "@babel/types@^7.28.2", "@babel/types@^7.28.4", "@babel/types@^7.4.4": + version "7.28.4" + resolved "https://registry.npmjs.org/@babel/types/-/types-7.28.4.tgz" + integrity sha512-bkFqkLhh3pMBUQQkpVgWDWq/lqzc2678eUyDlTBhRqhCHFguYYGM0Efga7tYk4TogG/3x0EEl66/OQ+WGbWB/Q== + dependencies: + "@babel/helper-string-parser" "^7.27.1" + "@babel/helper-validator-identifier" "^7.27.1" "@csstools/postcss-color-function@^1.0.3": version "1.0.3" - resolved "https://registry.yarnpkg.com/@csstools/postcss-color-function/-/postcss-color-function-1.0.3.tgz#251c961a852c99e9aabdbbdbefd50e9a96e8a9ff" + resolved "https://registry.npmjs.org/@csstools/postcss-color-function/-/postcss-color-function-1.0.3.tgz" integrity sha512-J26I69pT2B3MYiLY/uzCGKVJyMYVg9TCpXkWsRlt+Yfq+nELUEm72QXIMYXs4xA9cJA4Oqs2EylrfokKl3mJEQ== dependencies: "@csstools/postcss-progressive-custom-properties" "^1.1.0" @@ -1131,21 +958,21 @@ "@csstools/postcss-font-format-keywords@^1.0.0": version "1.0.0" - resolved "https://registry.yarnpkg.com/@csstools/postcss-font-format-keywords/-/postcss-font-format-keywords-1.0.0.tgz#7e7df948a83a0dfb7eb150a96e2390ac642356a1" + resolved "https://registry.npmjs.org/@csstools/postcss-font-format-keywords/-/postcss-font-format-keywords-1.0.0.tgz" integrity sha512-oO0cZt8do8FdVBX8INftvIA4lUrKUSCcWUf9IwH9IPWOgKT22oAZFXeHLoDK7nhB2SmkNycp5brxfNMRLIhd6Q== dependencies: postcss-value-parser "^4.2.0" "@csstools/postcss-hwb-function@^1.0.0": version "1.0.0" - resolved "https://registry.yarnpkg.com/@csstools/postcss-hwb-function/-/postcss-hwb-function-1.0.0.tgz#d6785c1c5ba8152d1d392c66f3a6a446c6034f6d" + resolved "https://registry.npmjs.org/@csstools/postcss-hwb-function/-/postcss-hwb-function-1.0.0.tgz" integrity sha512-VSTd7hGjmde4rTj1rR30sokY3ONJph1reCBTUXqeW1fKwETPy1x4t/XIeaaqbMbC5Xg4SM/lyXZ2S8NELT2TaA== dependencies: postcss-value-parser "^4.2.0" "@csstools/postcss-ic-unit@^1.0.0": version "1.0.0" - resolved "https://registry.yarnpkg.com/@csstools/postcss-ic-unit/-/postcss-ic-unit-1.0.0.tgz#f484db59fc94f35a21b6d680d23b0ec69b286b7f" + resolved "https://registry.npmjs.org/@csstools/postcss-ic-unit/-/postcss-ic-unit-1.0.0.tgz" integrity sha512-i4yps1mBp2ijrx7E96RXrQXQQHm6F4ym1TOD0D69/sjDjZvQ22tqiEvaNw7pFZTUO5b9vWRHzbHzP9+UKuw+bA== dependencies: "@csstools/postcss-progressive-custom-properties" "^1.1.0" @@ -1153,21 +980,21 @@ "@csstools/postcss-is-pseudo-class@^2.0.1": version "2.0.1" - resolved "https://registry.yarnpkg.com/@csstools/postcss-is-pseudo-class/-/postcss-is-pseudo-class-2.0.1.tgz#472fff2cf434bdf832f7145b2a5491587e790c9e" + resolved "https://registry.npmjs.org/@csstools/postcss-is-pseudo-class/-/postcss-is-pseudo-class-2.0.1.tgz" integrity sha512-Og5RrTzwFhrKoA79c3MLkfrIBYmwuf/X83s+JQtz/Dkk/MpsaKtqHV1OOzYkogQ+tj3oYp5Mq39XotBXNqVc3Q== dependencies: postcss-selector-parser "^6.0.9" "@csstools/postcss-normalize-display-values@^1.0.0": version "1.0.0" - resolved "https://registry.yarnpkg.com/@csstools/postcss-normalize-display-values/-/postcss-normalize-display-values-1.0.0.tgz#ce698f688c28517447aedf15a9037987e3d2dc97" + resolved "https://registry.npmjs.org/@csstools/postcss-normalize-display-values/-/postcss-normalize-display-values-1.0.0.tgz" integrity sha512-bX+nx5V8XTJEmGtpWTO6kywdS725t71YSLlxWt78XoHUbELWgoCXeOFymRJmL3SU1TLlKSIi7v52EWqe60vJTQ== dependencies: postcss-value-parser "^4.2.0" "@csstools/postcss-oklab-function@^1.0.2": version "1.0.2" - resolved "https://registry.yarnpkg.com/@csstools/postcss-oklab-function/-/postcss-oklab-function-1.0.2.tgz#87cd646e9450347a5721e405b4f7cc35157b7866" + resolved "https://registry.npmjs.org/@csstools/postcss-oklab-function/-/postcss-oklab-function-1.0.2.tgz" integrity sha512-QwhWesEkMlp4narAwUi6pgc6kcooh8cC7zfxa9LSQNYXqzcdNUtNBzbGc5nuyAVreb7uf5Ox4qH1vYT3GA1wOg== dependencies: "@csstools/postcss-progressive-custom-properties" "^1.1.0" @@ -1175,7 +1002,7 @@ "@csstools/postcss-progressive-custom-properties@^1.1.0", "@csstools/postcss-progressive-custom-properties@^1.3.0": version "1.3.0" - resolved "https://registry.yarnpkg.com/@csstools/postcss-progressive-custom-properties/-/postcss-progressive-custom-properties-1.3.0.tgz#542292558384361776b45c85226b9a3a34f276fa" + resolved "https://registry.npmjs.org/@csstools/postcss-progressive-custom-properties/-/postcss-progressive-custom-properties-1.3.0.tgz" integrity sha512-ASA9W1aIy5ygskZYuWams4BzafD12ULvSypmaLJT2jvQ8G0M3I8PRQhC0h7mG0Z3LI05+agZjqSR9+K9yaQQjA== dependencies: postcss-value-parser "^4.2.0" @@ -1187,19 +1014,19 @@ "@floating-ui/core@^0.7.2": version "0.7.2" - resolved "https://registry.yarnpkg.com/@floating-ui/core/-/core-0.7.2.tgz#f7af9613d080dc29360e77c970965b79b524d45a" + resolved "https://registry.npmjs.org/@floating-ui/core/-/core-0.7.2.tgz" integrity sha512-FRVAkSNU/vGXLIsgbggcs70GkXKEOXgBBbNpYPNHSaKsCAMMd00NrjbtKTesxkdv9xm9N3+XiDlcFGY6WnatBg== "@floating-ui/dom@^0.5.1": version "0.5.2" - resolved "https://registry.yarnpkg.com/@floating-ui/dom/-/dom-0.5.2.tgz#908f3febbfc0d6696d70921616ec194fe07af183" + resolved "https://registry.npmjs.org/@floating-ui/dom/-/dom-0.5.2.tgz" integrity sha512-z1DnEa7F3d8Fm/eXSbii8UEGpcjZGkQaYYUI0WpEVgD3vBfebDW8j/3ysusxonuMexoigA+A3b/fYH7sEqiwyg== dependencies: "@floating-ui/core" "^0.7.2" "@floating-ui/react-dom-interactions@^0.6.3": version "0.6.3" - resolved "https://registry.yarnpkg.com/@floating-ui/react-dom-interactions/-/react-dom-interactions-0.6.3.tgz#895c52cb06bf5ea73c00f1074c75b0535e0046bc" + resolved "https://registry.npmjs.org/@floating-ui/react-dom-interactions/-/react-dom-interactions-0.6.3.tgz" integrity sha512-xvbGEtBtA7JaEngnHQjROArv2onRp3oJIpb4+bEN5EGJf0hBYDY0vD8vFGPz/5TQwN++hb6icOB1QwdOnffMzw== dependencies: "@floating-ui/react-dom" "^0.7.1" @@ -1208,50 +1035,95 @@ "@floating-ui/react-dom@^0.7.1": version "0.7.1" - resolved "https://registry.yarnpkg.com/@floating-ui/react-dom/-/react-dom-0.7.1.tgz#e0eb57cb05c7762d4c904bfbae73148684578d66" + resolved "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-0.7.1.tgz" integrity sha512-Dd7e8AupUjzcjeGf1g3EItf/QRtEWKF5GGyEs5WA5n3zlHvEgZ4XrZM6ANhUnzgE3pUQAaXkcXLnibgFp1YBRw== dependencies: "@floating-ui/dom" "^0.5.1" use-isomorphic-layout-effect "^1.1.1" -"@jridgewell/resolve-uri@^3.0.3": - version "3.0.5" - resolved "https://registry.yarnpkg.com/@jridgewell/resolve-uri/-/resolve-uri-3.0.5.tgz#68eb521368db76d040a6315cdb24bf2483037b9c" - integrity sha512-VPeQ7+wH0itvQxnG+lIzWgkysKIr3L9sslimFW55rHMdGu/qCQ5z5h9zq4gI8uBtqkpHhsF4Z/OwExufUCThew== +"@jridgewell/gen-mapping@^0.3.12", "@jridgewell/gen-mapping@^0.3.5": + version "0.3.13" + resolved "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.13.tgz" + integrity sha512-2kkt/7niJ6MgEPxF0bYdQ6etZaA+fQvDcLKckhy1yIQOzaoKjBBjSj63/aLVjYE3qhRt5dvM+uUyfCg6UKCBbA== + dependencies: + "@jridgewell/sourcemap-codec" "^1.5.0" + "@jridgewell/trace-mapping" "^0.3.24" -"@jridgewell/sourcemap-codec@^1.4.10": - version "1.4.11" - resolved "https://registry.yarnpkg.com/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.4.11.tgz#771a1d8d744eeb71b6adb35808e1a6c7b9b8c8ec" - integrity sha512-Fg32GrJo61m+VqYSdRSjRXMjQ06j8YIYfcTqndLYVAaHmroZHLJZCydsWBOTDqXS2v+mjxohBWEMfg97GXmYQg== +"@jridgewell/resolve-uri@^3.1.0": + version "3.1.2" + resolved "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz" + integrity sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw== -"@jridgewell/trace-mapping@^0.3.0": - version "0.3.4" - resolved "https://registry.yarnpkg.com/@jridgewell/trace-mapping/-/trace-mapping-0.3.4.tgz#f6a0832dffd5b8a6aaa633b7d9f8e8e94c83a0c3" - integrity sha512-vFv9ttIedivx0ux3QSjhgtCVjPZd5l46ZOMDSCwnH1yUO2e964gO8LZGyv2QkqcgR6TnBU1v+1IFqmeoG+0UJQ== +"@jridgewell/source-map@^0.3.3": + version "0.3.11" + resolved "https://registry.npmjs.org/@jridgewell/source-map/-/source-map-0.3.11.tgz" + integrity sha512-ZMp1V8ZFcPG5dIWnQLr3NSI1MiCU7UETdS/A0G8V/XWHvJv3ZsFqutJn1Y5RPmAPX6F3BiE397OqveU/9NCuIA== dependencies: - "@jridgewell/resolve-uri" "^3.0.3" - "@jridgewell/sourcemap-codec" "^1.4.10" + "@jridgewell/gen-mapping" "^0.3.5" + "@jridgewell/trace-mapping" "^0.3.25" + +"@jridgewell/sourcemap-codec@^1.4.14", "@jridgewell/sourcemap-codec@^1.5.0": + version "1.5.5" + resolved "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.5.tgz" + integrity sha512-cYQ9310grqxueWbl+WuIUIaiUaDcj7WOq5fVhEljNVgRfOUhY9fy2zTvfoqWsnebh8Sl70VScFbICvJnLKB0Og== -"@nodelib/fs.scandir@2.1.5": - version "2.1.5" - resolved "https://registry.npmjs.org/@nodelib/fs.scandir/-/fs.scandir-2.1.5.tgz" - integrity sha512-vq24Bq3ym5HEQm2NKCr3yXDwjc7vTsEThRDnkp2DK9p1uqLR+DHurm/NOTo0KG7HYHU7eppKZj3MyqYuMBf62g== +"@jridgewell/trace-mapping@^0.3.0", "@jridgewell/trace-mapping@^0.3.24", "@jridgewell/trace-mapping@^0.3.25", "@jridgewell/trace-mapping@^0.3.28": + version "0.3.31" + resolved "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.31.tgz" + integrity sha512-zzNR+SdQSDJzc8joaeP8QQoCQr8NuYx2dIIytl1QeBEZHJ9uW6hebsrYgbz8hJwUQao3TWCMtmfV8Nu1twOLAw== dependencies: - "@nodelib/fs.stat" "2.0.5" - run-parallel "^1.1.9" + "@jridgewell/resolve-uri" "^3.1.0" + "@jridgewell/sourcemap-codec" "^1.4.14" -"@nodelib/fs.stat@2.0.5", "@nodelib/fs.stat@^2.0.2": - version "2.0.5" - resolved "https://registry.npmjs.org/@nodelib/fs.stat/-/fs.stat-2.0.5.tgz" - integrity sha512-RkhPPp2zrqDAQA/2jNhnztcPAlv64XdhIp7a7454A5ovI7Bukxgt7MX7udwAu3zg1DcpPU0rz3VV1SeaqvY4+A== +"@jsonjoy.com/base64@^1.1.2": + version "1.1.2" + resolved "https://registry.npmjs.org/@jsonjoy.com/base64/-/base64-1.1.2.tgz" + integrity sha512-q6XAnWQDIMA3+FTiOYajoYqySkO+JSat0ytXGSuRdq9uXE7o92gzuQwQM14xaCRlBLGq3v5miDGC4vkVTn54xA== + +"@jsonjoy.com/buffers@^1.0.0", "@jsonjoy.com/buffers@^1.2.0": + version "1.2.0" + resolved "https://registry.npmjs.org/@jsonjoy.com/buffers/-/buffers-1.2.0.tgz" + integrity sha512-6RX+W5a+ZUY/c/7J5s5jK9UinLfJo5oWKh84fb4X0yK2q4WXEWUWZWuEMjvCb1YNUQhEAhUfr5scEGOH7jC4YQ== + +"@jsonjoy.com/codegen@^1.0.0": + version "1.0.0" + resolved "https://registry.npmjs.org/@jsonjoy.com/codegen/-/codegen-1.0.0.tgz" + integrity sha512-E8Oy+08cmCf0EK/NMxpaJZmOxPqM+6iSe2S4nlSBrPZOORoDJILxtbSUEDKQyTamm/BVAhIGllOBNU79/dwf0g== + +"@jsonjoy.com/json-pack@^1.11.0": + version "1.21.0" + resolved "https://registry.npmjs.org/@jsonjoy.com/json-pack/-/json-pack-1.21.0.tgz" + integrity sha512-+AKG+R2cfZMShzrF2uQw34v3zbeDYUqnQ+jg7ORic3BGtfw9p/+N6RJbq/kkV8JmYZaINknaEQ2m0/f693ZPpg== + dependencies: + "@jsonjoy.com/base64" "^1.1.2" + "@jsonjoy.com/buffers" "^1.2.0" + "@jsonjoy.com/codegen" "^1.0.0" + "@jsonjoy.com/json-pointer" "^1.0.2" + "@jsonjoy.com/util" "^1.9.0" + hyperdyperid "^1.2.0" + thingies "^2.5.0" + tree-dump "^1.1.0" + +"@jsonjoy.com/json-pointer@^1.0.2": + version "1.0.2" + resolved "https://registry.npmjs.org/@jsonjoy.com/json-pointer/-/json-pointer-1.0.2.tgz" + integrity sha512-Fsn6wM2zlDzY1U+v4Nc8bo3bVqgfNTGcn6dMgs6FjrEnt4ZCe60o6ByKRjOGlI2gow0aE/Q41QOigdTqkyK5fg== + dependencies: + "@jsonjoy.com/codegen" "^1.0.0" + "@jsonjoy.com/util" "^1.9.0" -"@nodelib/fs.walk@^1.2.3": - version "1.2.8" - resolved "https://registry.npmjs.org/@nodelib/fs.walk/-/fs.walk-1.2.8.tgz" - integrity sha512-oGB+UxlgWcgQkgwo8GcEGwemoTFt3FIO9ababBmaGwXIoBKZ+GTy0pP185beGg7Llih/NSHSV2XAs1lnznocSg== +"@jsonjoy.com/util@^1.9.0": + version "1.9.0" + resolved "https://registry.npmjs.org/@jsonjoy.com/util/-/util-1.9.0.tgz" + integrity sha512-pLuQo+VPRnN8hfPqUTLTHk126wuYdXVxE6aDmjSeV4NCAgyxWbiOIeNJVtID3h1Vzpoi9m4jXezf73I6LgabgQ== dependencies: - "@nodelib/fs.scandir" "2.1.5" - fastq "^1.6.0" + "@jsonjoy.com/buffers" "^1.0.0" + "@jsonjoy.com/codegen" "^1.0.0" + +"@leichtgewicht/ip-codec@^2.0.1": + version "2.0.5" + resolved "https://registry.npmjs.org/@leichtgewicht/ip-codec/-/ip-codec-2.0.5.tgz" + integrity sha512-Vo+PSpZG2/fmgmiNzYK9qWRh8h/CHrwD0mo1h1DzL4yzHNSfWYujGTYsWGreD000gcgmZ7K4Ys6Tx9TxtsKdDw== "@trysound/sax@0.2.0": version "0.2.0" @@ -1266,17 +1138,17 @@ "@types/connect" "*" "@types/node" "*" -"@types/bonjour@^3.5.9": - version "3.5.10" - resolved "https://registry.npmjs.org/@types/bonjour/-/bonjour-3.5.10.tgz" - integrity sha512-p7ienRMiS41Nu2/igbJxxLDWrSZ0WxM8UQgCeO9KhoVF7cOVFkrKsiDr1EsJIla8vV3oEEjGcz11jc5yimhzZw== +"@types/bonjour@^3.5.13": + version "3.5.13" + resolved "https://registry.npmjs.org/@types/bonjour/-/bonjour-3.5.13.tgz" + integrity sha512-z9fJ5Im06zvUL548KvYNecEVlA7cVDkGUi6kZusb04mpyEFKCIZJvloCcmpmLaIahDpOQGHaHmG6imtPMmPXGQ== dependencies: "@types/node" "*" -"@types/connect-history-api-fallback@^1.3.5": - version "1.3.5" - resolved "https://registry.npmjs.org/@types/connect-history-api-fallback/-/connect-history-api-fallback-1.3.5.tgz" - integrity sha512-h8QJa8xSb1WD4fpKBDcATDNGXghFj6/3GRWG6dhmRcu0RX1Ubasur2Uvx5aeEwlf0MwblEC2bMzzMQntxnw/Cw== +"@types/connect-history-api-fallback@^1.5.4": + version "1.5.4" + resolved "https://registry.npmjs.org/@types/connect-history-api-fallback/-/connect-history-api-fallback-1.5.4.tgz" + integrity sha512-n6Cr2xS1h4uAulPRdlw6Jl6s1oG8KrVilPN2yUITEs+K48EzMJJ3W1xy8K5eWuFvjp3R74AOIGSmp2UfBJ8HFw== dependencies: "@types/express-serve-static-core" "*" "@types/node" "*" @@ -1288,68 +1160,76 @@ dependencies: "@types/node" "*" -"@types/eslint-scope@^3.7.3": - version "3.7.3" - resolved "https://registry.yarnpkg.com/@types/eslint-scope/-/eslint-scope-3.7.3.tgz#125b88504b61e3c8bc6f870882003253005c3224" - integrity sha512-PB3ldyrcnAicT35TWPs5IcwKD8S333HMaa2VVv4+wdvebJkjWuW/xESoB8IwRcog8HYVYamb1g/R31Qv5Bx03g== +"@types/eslint-scope@^3.7.7": + version "3.7.7" + resolved "https://registry.npmjs.org/@types/eslint-scope/-/eslint-scope-3.7.7.tgz" + integrity sha512-MzMFlSLBqNF2gcHWO0G1vP/YQyfvrxZ0bF+u7mzUdZ1/xK4A4sru+nraZz5i3iEIk1l1uyicaDVTB4QbbEkAYg== dependencies: "@types/eslint" "*" "@types/estree" "*" "@types/eslint@*": - version "8.2.1" - resolved "https://registry.npmjs.org/@types/eslint/-/eslint-8.2.1.tgz" - integrity sha512-UP9rzNn/XyGwb5RQ2fok+DzcIRIYwc16qTXse5+Smsy8MOIccCChT15KAwnsgQx4PzJkaMq4myFyZ4CL5TjhIQ== + version "9.6.1" + resolved "https://registry.npmjs.org/@types/eslint/-/eslint-9.6.1.tgz" + integrity sha512-FXx2pKgId/WyYo2jXw63kk7/+TY7u7AziEJxJAnSFzHlqTAS3Ync6SvgYAN/k4/PQpnnVuzoMuVnByKK2qp0ag== dependencies: "@types/estree" "*" "@types/json-schema" "*" -"@types/estree@*": - version "0.0.50" - resolved "https://registry.npmjs.org/@types/estree/-/estree-0.0.50.tgz" - integrity sha512-C6N5s2ZFtuZRj54k2/zyRhNDjJwwcViAM3Nbm8zjBpbqAdZ00mr0CFxvSKeO8Y/e03WVFLpQMdHYVfUd6SB+Hw== +"@types/estree@*", "@types/estree@^1.0.8": + version "1.0.8" + resolved "https://registry.npmjs.org/@types/estree/-/estree-1.0.8.tgz" + integrity sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w== -"@types/estree@^0.0.51": - version "0.0.51" - resolved "https://registry.yarnpkg.com/@types/estree/-/estree-0.0.51.tgz#cfd70924a25a3fd32b218e5e420e6897e1ac4f40" - integrity sha512-CuPgU6f3eT/XgKKPqKd/gLZV1Xmvf1a2R5POBOGQa6uv82xpls89HU5zKeVoyR8XzHd1RGNOlQlvUe3CFkjWNQ== - -"@types/express-serve-static-core@*", "@types/express-serve-static-core@^4.17.18": - version "4.17.28" - resolved "https://registry.npmjs.org/@types/express-serve-static-core/-/express-serve-static-core-4.17.28.tgz" - integrity sha512-P1BJAEAW3E2DJUlkgq4tOL3RyMunoWXqbSCygWo5ZIWTjUgN1YnaXWW4VWl/oc8vs/XoYibEGBKP0uZyF4AHig== +"@types/express-serve-static-core@*", "@types/express-serve-static-core@^4.17.21", "@types/express-serve-static-core@^4.17.33": + version "4.19.7" + resolved "https://registry.npmjs.org/@types/express-serve-static-core/-/express-serve-static-core-4.19.7.tgz" + integrity sha512-FvPtiIf1LfhzsaIXhv/PHan/2FeQBbtBDtfX2QfvPxdUelMDEckK08SM6nqo1MIZY3RUlfA+HV8+hFUSio78qg== dependencies: "@types/node" "*" "@types/qs" "*" "@types/range-parser" "*" + "@types/send" "*" -"@types/express@*", "@types/express@^4.17.13": - version "4.17.13" - resolved "https://registry.npmjs.org/@types/express/-/express-4.17.13.tgz" - integrity sha512-6bSZTPaTIACxn48l50SR+axgrqm6qXFIxrdAKaG6PaJk3+zuUr35hBlgT7vOmJcum+OEaIBLtHV/qloEAFITeA== +"@types/express@*", "@types/express@^4.17.13", "@types/express@^4.17.21": + version "4.17.23" + resolved "https://registry.npmjs.org/@types/express/-/express-4.17.23.tgz" + integrity sha512-Crp6WY9aTYP3qPi2wGDo9iUe/rceX01UMhnF1jmwDcKCFM6cx7YhGP/Mpr3y9AASpfHixIG0E6azCcL5OcDHsQ== dependencies: "@types/body-parser" "*" - "@types/express-serve-static-core" "^4.17.18" + "@types/express-serve-static-core" "^4.17.33" "@types/qs" "*" "@types/serve-static" "*" -"@types/http-proxy@^1.17.5": - version "1.17.7" - resolved "https://registry.npmjs.org/@types/http-proxy/-/http-proxy-1.17.7.tgz" - integrity sha512-9hdj6iXH64tHSLTY+Vt2eYOGzSogC+JQ2H7bdPWkuh7KXP5qLllWx++t+K9Wk556c3dkDdPws/SpMRi0sdCT1w== +"@types/http-errors@*": + version "2.0.5" + resolved "https://registry.npmjs.org/@types/http-errors/-/http-errors-2.0.5.tgz" + integrity sha512-r8Tayk8HJnX0FztbZN7oVqGccWgw98T/0neJphO91KkmOzug1KkofZURD4UaD5uH8AqcFLfdPErnBod0u71/qg== + +"@types/http-proxy@^1.17.8": + version "1.17.16" + resolved "https://registry.npmjs.org/@types/http-proxy/-/http-proxy-1.17.16.tgz" + integrity sha512-sdWoUajOB1cd0A8cRRQ1cfyWNbmFKLAqBB89Y8x5iYyG/mkJHc0YUH8pdWBy2omi9qtCpiIgGjuwO0dQST2l5w== dependencies: "@types/node" "*" -"@types/json-schema@*", "@types/json-schema@^7.0.5", "@types/json-schema@^7.0.8", "@types/json-schema@^7.0.9": - version "7.0.9" - resolved "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.9.tgz" - integrity sha512-qcUXuemtEu+E5wZSJHNxUXeCZhAfXKQ41D+duX+VYPde7xyEVZci+/oXKJL13tnRs9lR2pr4fod59GT6/X1/yQ== +"@types/json-schema@*", "@types/json-schema@^7.0.15", "@types/json-schema@^7.0.5", "@types/json-schema@^7.0.9": + version "7.0.15" + resolved "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz" + integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA== "@types/mime@^1": version "1.3.2" resolved "https://registry.npmjs.org/@types/mime/-/mime-1.3.2.tgz" integrity sha512-YATxVxgRqNH6nHEIsvg6k2Boc1JHI9ZbH5iWFFv/MTkchz3b1ieGDa5T0a9RznNdI0KhVbdbWSN+KWWrQZRxTw== +"@types/node-forge@^1.3.0": + version "1.3.14" + resolved "https://registry.npmjs.org/@types/node-forge/-/node-forge-1.3.14.tgz" + integrity sha512-mhVF2BnD4BO+jtOp7z1CdzaK4mbuK0LLQYAvdOLqHTavxFNq4zA1EmYkpnFjP8HOUzedfQkRnp0E2ulSAYSzAw== + dependencies: + "@types/node" "*" + "@types/node@*": version "16.11.12" resolved "https://registry.npmjs.org/@types/node/-/node-16.11.12.tgz" @@ -1370,176 +1250,185 @@ resolved "https://registry.npmjs.org/@types/range-parser/-/range-parser-1.2.4.tgz" integrity sha512-EEhsLsD6UsDM1yFhAvy0Cjr6VwmpMWqFBCb9w07wVugF7w9nfajxLuVmngTIpgS6svCnm6Vaw+MZhoDCKnOfsw== -"@types/retry@^0.12.0": - version "0.12.1" - resolved "https://registry.npmjs.org/@types/retry/-/retry-0.12.1.tgz" - integrity sha512-xoDlM2S4ortawSWORYqsdU+2rxdh4LRW9ytc3zmT37RIKQh6IHyKwwtKhKis9ah8ol07DCkZxPt8BBvPjC6v4g== +"@types/retry@0.12.2": + version "0.12.2" + resolved "https://registry.npmjs.org/@types/retry/-/retry-0.12.2.tgz" + integrity sha512-XISRgDJ2Tc5q4TRqvgJtzsRkFYNJzZrhTdtMoGVBttwzzQJkPnS3WWTFc7kuDRoPtPakl+T+OfdEUjYJj7Jbow== -"@types/serve-index@^1.9.1": - version "1.9.1" - resolved "https://registry.npmjs.org/@types/serve-index/-/serve-index-1.9.1.tgz" - integrity sha512-d/Hs3nWDxNL2xAczmOVZNj92YZCS6RGxfBPjKzuu/XirCgXdpKEb88dYNbrYGint6IVWLNP+yonwVAuRC0T2Dg== +"@types/send@*", "@types/send@<1": + version "0.17.5" + resolved "https://registry.npmjs.org/@types/send/-/send-0.17.5.tgz" + integrity sha512-z6F2D3cOStZvuk2SaP6YrwkNO65iTZcwA2ZkSABegdkAh/lf+Aa/YQndZVfmEXT5vgAp6zv06VQ3ejSVjAny4w== + dependencies: + "@types/mime" "^1" + "@types/node" "*" + +"@types/serve-index@^1.9.4": + version "1.9.4" + resolved "https://registry.npmjs.org/@types/serve-index/-/serve-index-1.9.4.tgz" + integrity sha512-qLpGZ/c2fhSs5gnYsQxtDEq3Oy8SXPClIXkW5ghvAvsNuVSA8k+gCONcUCS/UjLEYvYps+e8uBtfgXgvhwfNug== dependencies: "@types/express" "*" -"@types/serve-static@*": - version "1.13.10" - resolved "https://registry.npmjs.org/@types/serve-static/-/serve-static-1.13.10.tgz" - integrity sha512-nCkHGI4w7ZgAdNkrEu0bv+4xNV/XDqW+DydknebMOQwkpDGx8G+HTlj7R7ABI8i8nKxVw0wtKPi1D+lPOkh4YQ== +"@types/serve-static@*", "@types/serve-static@^1.15.5": + version "1.15.9" + resolved "https://registry.npmjs.org/@types/serve-static/-/serve-static-1.15.9.tgz" + integrity sha512-dOTIuqpWLyl3BBXU3maNQsS4A3zuuoYRNIvYSxxhebPfXg2mzWQEPne/nlJ37yOse6uGgR386uTpdsx4D0QZWA== dependencies: - "@types/mime" "^1" + "@types/http-errors" "*" "@types/node" "*" + "@types/send" "<1" -"@types/sockjs@^0.3.33": - version "0.3.33" - resolved "https://registry.npmjs.org/@types/sockjs/-/sockjs-0.3.33.tgz" - integrity sha512-f0KEEe05NvUnat+boPTZ0dgaLZ4SfSouXUgv5noUiefG2ajgKjmETo9ZJyuqsl7dfl2aHlLJUiki6B4ZYldiiw== +"@types/sockjs@^0.3.36": + version "0.3.36" + resolved "https://registry.npmjs.org/@types/sockjs/-/sockjs-0.3.36.tgz" + integrity sha512-MK9V6NzAS1+Ud7JV9lJLFqW85VbC9dq3LmwZCuBe4wBDgKC0Kj/jd8Xl+nSviU+Qc3+m7umHHyHg//2KSa0a0Q== dependencies: "@types/node" "*" -"@types/ws@^8.2.2": - version "8.2.2" - resolved "https://registry.npmjs.org/@types/ws/-/ws-8.2.2.tgz" - integrity sha512-NOn5eIcgWLOo6qW8AcuLZ7G8PycXu0xTxxkS6Q18VWFxgPUSOwV0pBj2a/4viNZVu25i7RIB7GttdkAIUUXOOg== +"@types/ws@^8.5.10": + version "8.18.1" + resolved "https://registry.npmjs.org/@types/ws/-/ws-8.18.1.tgz" + integrity sha512-ThVF6DCVhA8kUGy+aazFQ4kXQ7E1Ty7A3ypFOe0IcJV8O/M511G99AW24irKrW56Wt44yG9+ij8FaqoBGkuBXg== dependencies: "@types/node" "*" -"@webassemblyjs/ast@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/ast/-/ast-1.11.1.tgz" - integrity sha512-ukBh14qFLjxTQNTXocdyksN5QdM28S1CxHt2rdskFyL+xFV7VremuBLVbmCePj+URalXBENx/9Lm7lnhihtCSw== +"@webassemblyjs/ast@^1.14.1", "@webassemblyjs/ast@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/ast/-/ast-1.14.1.tgz" + integrity sha512-nuBEDgQfm1ccRp/8bCQrx1frohyufl4JlbMMZ4P1wpeOfDhF6FQkxZJ1b/e+PLwr6X1Nhw6OLme5usuBWYBvuQ== dependencies: - "@webassemblyjs/helper-numbers" "1.11.1" - "@webassemblyjs/helper-wasm-bytecode" "1.11.1" + "@webassemblyjs/helper-numbers" "1.13.2" + "@webassemblyjs/helper-wasm-bytecode" "1.13.2" -"@webassemblyjs/floating-point-hex-parser@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/floating-point-hex-parser/-/floating-point-hex-parser-1.11.1.tgz" - integrity sha512-iGRfyc5Bq+NnNuX8b5hwBrRjzf0ocrJPI6GWFodBFzmFnyvrQ83SHKhmilCU/8Jv67i4GJZBMhEzltxzcNagtQ== +"@webassemblyjs/floating-point-hex-parser@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/floating-point-hex-parser/-/floating-point-hex-parser-1.13.2.tgz" + integrity sha512-6oXyTOzbKxGH4steLbLNOu71Oj+C8Lg34n6CqRvqfS2O71BxY6ByfMDRhBytzknj9yGUPVJ1qIKhRlAwO1AovA== -"@webassemblyjs/helper-api-error@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/helper-api-error/-/helper-api-error-1.11.1.tgz" - integrity sha512-RlhS8CBCXfRUR/cwo2ho9bkheSXG0+NwooXcc3PAILALf2QLdFyj7KGsKRbVc95hZnhnERon4kW/D3SZpp6Tcg== +"@webassemblyjs/helper-api-error@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/helper-api-error/-/helper-api-error-1.13.2.tgz" + integrity sha512-U56GMYxy4ZQCbDZd6JuvvNV/WFildOjsaWD3Tzzvmw/mas3cXzRJPMjP83JqEsgSbyrmaGjBfDtV7KDXV9UzFQ== -"@webassemblyjs/helper-buffer@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/helper-buffer/-/helper-buffer-1.11.1.tgz" - integrity sha512-gwikF65aDNeeXa8JxXa2BAk+REjSyhrNC9ZwdT0f8jc4dQQeDQ7G4m0f2QCLPJiMTTO6wfDmRmj/pW0PsUvIcA== +"@webassemblyjs/helper-buffer@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/helper-buffer/-/helper-buffer-1.14.1.tgz" + integrity sha512-jyH7wtcHiKssDtFPRB+iQdxlDf96m0E39yb0k5uJVhFGleZFoNw1c4aeIcVUPPbXUVJ94wwnMOAqUHyzoEPVMA== -"@webassemblyjs/helper-numbers@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/helper-numbers/-/helper-numbers-1.11.1.tgz" - integrity sha512-vDkbxiB8zfnPdNK9Rajcey5C0w+QJugEglN0of+kmO8l7lDb77AnlKYQF7aarZuCrv+l0UvqL+68gSDr3k9LPQ== +"@webassemblyjs/helper-numbers@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/helper-numbers/-/helper-numbers-1.13.2.tgz" + integrity sha512-FE8aCmS5Q6eQYcV3gI35O4J789wlQA+7JrqTTpJqn5emA4U2hvwJmvFRC0HODS+3Ye6WioDklgd6scJ3+PLnEA== dependencies: - "@webassemblyjs/floating-point-hex-parser" "1.11.1" - "@webassemblyjs/helper-api-error" "1.11.1" + "@webassemblyjs/floating-point-hex-parser" "1.13.2" + "@webassemblyjs/helper-api-error" "1.13.2" "@xtuc/long" "4.2.2" -"@webassemblyjs/helper-wasm-bytecode@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/helper-wasm-bytecode/-/helper-wasm-bytecode-1.11.1.tgz" - integrity sha512-PvpoOGiJwXeTrSf/qfudJhwlvDQxFgelbMqtq52WWiXC6Xgg1IREdngmPN3bs4RoO83PnL/nFrxucXj1+BX62Q== +"@webassemblyjs/helper-wasm-bytecode@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/helper-wasm-bytecode/-/helper-wasm-bytecode-1.13.2.tgz" + integrity sha512-3QbLKy93F0EAIXLh0ogEVR6rOubA9AoZ+WRYhNbFyuB70j3dRdwH9g+qXhLAO0kiYGlg3TxDV+I4rQTr/YNXkA== -"@webassemblyjs/helper-wasm-section@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/helper-wasm-section/-/helper-wasm-section-1.11.1.tgz" - integrity sha512-10P9No29rYX1j7F3EVPX3JvGPQPae+AomuSTPiF9eBQeChHI6iqjMIwR9JmOJXwpnn/oVGDk7I5IlskuMwU/pg== +"@webassemblyjs/helper-wasm-section@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/helper-wasm-section/-/helper-wasm-section-1.14.1.tgz" + integrity sha512-ds5mXEqTJ6oxRoqjhWDU83OgzAYjwsCV8Lo/N+oRsNDmx/ZDpqalmrtgOMkHwxsG0iI//3BwWAErYRHtgn0dZw== dependencies: - "@webassemblyjs/ast" "1.11.1" - "@webassemblyjs/helper-buffer" "1.11.1" - "@webassemblyjs/helper-wasm-bytecode" "1.11.1" - "@webassemblyjs/wasm-gen" "1.11.1" + "@webassemblyjs/ast" "1.14.1" + "@webassemblyjs/helper-buffer" "1.14.1" + "@webassemblyjs/helper-wasm-bytecode" "1.13.2" + "@webassemblyjs/wasm-gen" "1.14.1" -"@webassemblyjs/ieee754@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/ieee754/-/ieee754-1.11.1.tgz" - integrity sha512-hJ87QIPtAMKbFq6CGTkZYJivEwZDbQUgYd3qKSadTNOhVY7p+gfP6Sr0lLRVTaG1JjFj+r3YchoqRYxNH3M0GQ== +"@webassemblyjs/ieee754@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/ieee754/-/ieee754-1.13.2.tgz" + integrity sha512-4LtOzh58S/5lX4ITKxnAK2USuNEvpdVV9AlgGQb8rJDHaLeHciwG4zlGr0j/SNWlr7x3vO1lDEsuePvtcDNCkw== dependencies: "@xtuc/ieee754" "^1.2.0" -"@webassemblyjs/leb128@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/leb128/-/leb128-1.11.1.tgz" - integrity sha512-BJ2P0hNZ0u+Th1YZXJpzW6miwqQUGcIHT1G/sf72gLVD9DZ5AdYTqPNbHZh6K1M5VmKvFXwGSWZADz+qBWxeRw== +"@webassemblyjs/leb128@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/leb128/-/leb128-1.13.2.tgz" + integrity sha512-Lde1oNoIdzVzdkNEAWZ1dZ5orIbff80YPdHx20mrHwHrVNNTjNr8E3xz9BdpcGqRQbAEa+fkrCb+fRFTl/6sQw== dependencies: "@xtuc/long" "4.2.2" -"@webassemblyjs/utf8@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/utf8/-/utf8-1.11.1.tgz" - integrity sha512-9kqcxAEdMhiwQkHpkNiorZzqpGrodQQ2IGrHHxCy+Ozng0ofyMA0lTqiLkVs1uzTRejX+/O0EOT7KxqVPuXosQ== - -"@webassemblyjs/wasm-edit@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/wasm-edit/-/wasm-edit-1.11.1.tgz" - integrity sha512-g+RsupUC1aTHfR8CDgnsVRVZFJqdkFHpsHMfJuWQzWU3tvnLC07UqHICfP+4XyL2tnr1amvl1Sdp06TnYCmVkA== - dependencies: - "@webassemblyjs/ast" "1.11.1" - "@webassemblyjs/helper-buffer" "1.11.1" - "@webassemblyjs/helper-wasm-bytecode" "1.11.1" - "@webassemblyjs/helper-wasm-section" "1.11.1" - "@webassemblyjs/wasm-gen" "1.11.1" - "@webassemblyjs/wasm-opt" "1.11.1" - "@webassemblyjs/wasm-parser" "1.11.1" - "@webassemblyjs/wast-printer" "1.11.1" - -"@webassemblyjs/wasm-gen@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/wasm-gen/-/wasm-gen-1.11.1.tgz" - integrity sha512-F7QqKXwwNlMmsulj6+O7r4mmtAlCWfO/0HdgOxSklZfQcDu0TpLiD1mRt/zF25Bk59FIjEuGAIyn5ei4yMfLhA== - dependencies: - "@webassemblyjs/ast" "1.11.1" - "@webassemblyjs/helper-wasm-bytecode" "1.11.1" - "@webassemblyjs/ieee754" "1.11.1" - "@webassemblyjs/leb128" "1.11.1" - "@webassemblyjs/utf8" "1.11.1" - -"@webassemblyjs/wasm-opt@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/wasm-opt/-/wasm-opt-1.11.1.tgz" - integrity sha512-VqnkNqnZlU5EB64pp1l7hdm3hmQw7Vgqa0KF/KCNO9sIpI6Fk6brDEiX+iCOYrvMuBWDws0NkTOxYEb85XQHHw== - dependencies: - "@webassemblyjs/ast" "1.11.1" - "@webassemblyjs/helper-buffer" "1.11.1" - "@webassemblyjs/wasm-gen" "1.11.1" - "@webassemblyjs/wasm-parser" "1.11.1" - -"@webassemblyjs/wasm-parser@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/wasm-parser/-/wasm-parser-1.11.1.tgz" - integrity sha512-rrBujw+dJu32gYB7/Lup6UhdkPx9S9SnobZzRVL7VcBH9Bt9bCBLEuX/YXOOtBsOZ4NQrRykKhffRWHvigQvOA== - dependencies: - "@webassemblyjs/ast" "1.11.1" - "@webassemblyjs/helper-api-error" "1.11.1" - "@webassemblyjs/helper-wasm-bytecode" "1.11.1" - "@webassemblyjs/ieee754" "1.11.1" - "@webassemblyjs/leb128" "1.11.1" - "@webassemblyjs/utf8" "1.11.1" - -"@webassemblyjs/wast-printer@1.11.1": - version "1.11.1" - resolved "https://registry.npmjs.org/@webassemblyjs/wast-printer/-/wast-printer-1.11.1.tgz" - integrity sha512-IQboUWM4eKzWW+N/jij2sRatKMh99QEelo3Eb2q0qXkvPRISAj8Qxtmw5itwqK+TTkBuUIE45AxYPToqPtL5gg== - dependencies: - "@webassemblyjs/ast" "1.11.1" +"@webassemblyjs/utf8@1.13.2": + version "1.13.2" + resolved "https://registry.npmjs.org/@webassemblyjs/utf8/-/utf8-1.13.2.tgz" + integrity sha512-3NQWGjKTASY1xV5m7Hr0iPeXD9+RDobLll3T9d2AO+g3my8xy5peVyjSag4I50mR1bBSN/Ct12lo+R9tJk0NZQ== + +"@webassemblyjs/wasm-edit@^1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/wasm-edit/-/wasm-edit-1.14.1.tgz" + integrity sha512-RNJUIQH/J8iA/1NzlE4N7KtyZNHi3w7at7hDjvRNm5rcUXa00z1vRz3glZoULfJ5mpvYhLybmVcwcjGrC1pRrQ== + dependencies: + "@webassemblyjs/ast" "1.14.1" + "@webassemblyjs/helper-buffer" "1.14.1" + "@webassemblyjs/helper-wasm-bytecode" "1.13.2" + "@webassemblyjs/helper-wasm-section" "1.14.1" + "@webassemblyjs/wasm-gen" "1.14.1" + "@webassemblyjs/wasm-opt" "1.14.1" + "@webassemblyjs/wasm-parser" "1.14.1" + "@webassemblyjs/wast-printer" "1.14.1" + +"@webassemblyjs/wasm-gen@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/wasm-gen/-/wasm-gen-1.14.1.tgz" + integrity sha512-AmomSIjP8ZbfGQhumkNvgC33AY7qtMCXnN6bL2u2Js4gVCg8fp735aEiMSBbDR7UQIj90n4wKAFUSEd0QN2Ukg== + dependencies: + "@webassemblyjs/ast" "1.14.1" + "@webassemblyjs/helper-wasm-bytecode" "1.13.2" + "@webassemblyjs/ieee754" "1.13.2" + "@webassemblyjs/leb128" "1.13.2" + "@webassemblyjs/utf8" "1.13.2" + +"@webassemblyjs/wasm-opt@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/wasm-opt/-/wasm-opt-1.14.1.tgz" + integrity sha512-PTcKLUNvBqnY2U6E5bdOQcSM+oVP/PmrDY9NzowJjislEjwP/C4an2303MCVS2Mg9d3AJpIGdUFIQQWbPds0Sw== + dependencies: + "@webassemblyjs/ast" "1.14.1" + "@webassemblyjs/helper-buffer" "1.14.1" + "@webassemblyjs/wasm-gen" "1.14.1" + "@webassemblyjs/wasm-parser" "1.14.1" + +"@webassemblyjs/wasm-parser@^1.14.1", "@webassemblyjs/wasm-parser@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/wasm-parser/-/wasm-parser-1.14.1.tgz" + integrity sha512-JLBl+KZ0R5qB7mCnud/yyX08jWFw5MsoalJ1pQ4EdFlgj9VdXKGuENGsiCIjegI1W7p91rUlcB/LB5yRJKNTcQ== + dependencies: + "@webassemblyjs/ast" "1.14.1" + "@webassemblyjs/helper-api-error" "1.13.2" + "@webassemblyjs/helper-wasm-bytecode" "1.13.2" + "@webassemblyjs/ieee754" "1.13.2" + "@webassemblyjs/leb128" "1.13.2" + "@webassemblyjs/utf8" "1.13.2" + +"@webassemblyjs/wast-printer@1.14.1": + version "1.14.1" + resolved "https://registry.npmjs.org/@webassemblyjs/wast-printer/-/wast-printer-1.14.1.tgz" + integrity sha512-kPSSXE6De1XOR820C90RIo2ogvZG+c3KiHzqUoO/F34Y2shGzesfqv7o57xrxovZJH/MetF5UjroJ/R/3isoiw== + dependencies: + "@webassemblyjs/ast" "1.14.1" "@xtuc/long" "4.2.2" "@webpack-cli/configtest@^1.1.1": version "1.1.1" - resolved "https://registry.yarnpkg.com/@webpack-cli/configtest/-/configtest-1.1.1.tgz#9f53b1b7946a6efc2a749095a4f450e2932e8356" + resolved "https://registry.npmjs.org/@webpack-cli/configtest/-/configtest-1.1.1.tgz" integrity sha512-1FBc1f9G4P/AxMqIgfZgeOTuRnwZMten8E7zap5zgpPInnCrP8D4Q81+4CWIch8i/Nf7nXjP0v6CjjbHOrXhKg== "@webpack-cli/info@^1.4.1": version "1.4.1" - resolved "https://registry.yarnpkg.com/@webpack-cli/info/-/info-1.4.1.tgz#2360ea1710cbbb97ff156a3f0f24556e0fc1ebea" + resolved "https://registry.npmjs.org/@webpack-cli/info/-/info-1.4.1.tgz" integrity sha512-PKVGmazEq3oAo46Q63tpMr4HipI3OPfP7LiNOEJg963RMgT0rqheag28NCML0o3GIzA3DmxP1ZIAv9oTX1CUIA== dependencies: envinfo "^7.7.3" "@webpack-cli/serve@^1.6.1": version "1.6.1" - resolved "https://registry.yarnpkg.com/@webpack-cli/serve/-/serve-1.6.1.tgz#0de2875ac31b46b6c5bb1ae0a7d7f0ba5678dffe" + resolved "https://registry.npmjs.org/@webpack-cli/serve/-/serve-1.6.1.tgz" integrity sha512-gNGTiTrjEVQ0OcVnzsRSqTxaBSr+dmTfm+qJsCDluky8uhdLWep7Gcr62QsAKHTMxjCS/8nEITsmFAhfIx+QSw== "@xtuc/ieee754@^1.2.0": @@ -1552,31 +1441,23 @@ resolved "https://registry.npmjs.org/@xtuc/long/-/long-4.2.2.tgz" integrity sha512-NuHqBY1PB/D8xU6s/thBgOAiAP7HOYDQ32+BFZILJ8ivkUkAHQnWfn6WhL79Owj1qmUnoN/YPhktdIoucipkAQ== -accepts@~1.3.4, accepts@~1.3.5, accepts@~1.3.7: - version "1.3.7" - resolved "https://registry.npmjs.org/accepts/-/accepts-1.3.7.tgz" - integrity sha512-Il80Qs2WjYlJIBNzNkK6KYqlVMTbZLXgHx2oT0pU/fjRHyEp+PEfEPY0R3WCwAGVOtauxh1hOxNgIf5bv7dQpA== +accepts@~1.3.4, accepts@~1.3.8: + version "1.3.8" + resolved "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz" + integrity sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw== dependencies: - mime-types "~2.1.24" - negotiator "0.6.2" + mime-types "~2.1.34" + negotiator "0.6.3" -acorn-import-assertions@^1.7.6: - version "1.8.0" - resolved "https://registry.npmjs.org/acorn-import-assertions/-/acorn-import-assertions-1.8.0.tgz" - integrity sha512-m7VZ3jwz4eK6A4Vtt8Ew1/mNbP24u0FhdyfA7fSvnJR6LMdfOYnmuIrrJAgrYfYJ10F/otaHTtrtrtmHdMNzEw== - -acorn@^8.4.1: - version "8.6.0" - resolved "https://registry.npmjs.org/acorn/-/acorn-8.6.0.tgz" - integrity sha512-U1riIR+lBSNi3IbxtaHOIKdH8sLFv3NYfNv8sg7ZsNhcfl4HF2++BfqqrNAxoCLQW1iiylOj76ecnaUxz+z9yw== +acorn-import-phases@^1.0.3: + version "1.0.4" + resolved "https://registry.npmjs.org/acorn-import-phases/-/acorn-import-phases-1.0.4.tgz" + integrity sha512-wKmbr/DDiIXzEOiWrTTUcDm24kQ2vGfZQvM2fwg2vXqR5uW6aapr7ObPtj1th32b9u90/Pf4AItvdTh42fBmVQ== -aggregate-error@^3.0.0: - version "3.1.0" - resolved "https://registry.npmjs.org/aggregate-error/-/aggregate-error-3.1.0.tgz" - integrity sha512-4I7Td01quW/RpocfNayFdFVk1qSuoh0E7JrbRJ16nH01HhKFQ88INq9Sd+nd72zqRySlr9BmDA8xlEJ6vJMrYA== - dependencies: - clean-stack "^2.0.0" - indent-string "^4.0.0" +acorn@^8.14.0, acorn@^8.15.0: + version "8.15.0" + resolved "https://registry.npmjs.org/acorn/-/acorn-8.15.0.tgz" + integrity sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg== ajv-formats@^2.1.1: version "2.1.1" @@ -1597,7 +1478,14 @@ ajv-keywords@^5.0.0: dependencies: fast-deep-equal "^3.1.3" -ajv@^6.12.4, ajv@^6.12.5: +ajv-keywords@^5.1.0: + version "5.1.0" + resolved "https://registry.npmjs.org/ajv-keywords/-/ajv-keywords-5.1.0.tgz" + integrity sha512-YCS/JNFAUyr5vAuhk1DWm1CBxRHW9LbJ2ozWeemrIqpbsqKjHVxYPyi5GC0rjZIT5JxJ3virVTS8wk4i/Z+krw== + dependencies: + fast-deep-equal "^3.1.3" + +ajv@^6.12.4, ajv@^6.9.1: version "6.12.6" resolved "https://registry.npmjs.org/ajv/-/ajv-6.12.6.tgz" integrity sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g== @@ -1607,7 +1495,17 @@ ajv@^6.12.4, ajv@^6.12.5: json-schema-traverse "^0.4.1" uri-js "^4.2.2" -ajv@^8.0.0, ajv@^8.8.0: +ajv@^8.0.0: + version "8.8.2" + resolved "https://registry.npmjs.org/ajv/-/ajv-8.8.2.tgz" + integrity sha512-x9VuX+R/jcFj1DHo/fCp99esgGDWiHENrKxaCENuCxpoMCmAt/COCGVDwA7kleEpEzJjDnvh3yGoOuLu0Dtllw== + dependencies: + fast-deep-equal "^3.1.1" + json-schema-traverse "^1.0.0" + require-from-string "^2.0.2" + uri-js "^4.2.2" + +ajv@^8.8.0, ajv@^8.8.2: version "8.8.2" resolved "https://registry.npmjs.org/ajv/-/ajv-8.8.2.tgz" integrity sha512-x9VuX+R/jcFj1DHo/fCp99esgGDWiHENrKxaCENuCxpoMCmAt/COCGVDwA7kleEpEzJjDnvh3yGoOuLu0Dtllw== @@ -1617,39 +1515,37 @@ ajv@^8.0.0, ajv@^8.8.0: require-from-string "^2.0.2" uri-js "^4.2.2" +ajv@^8.9.0: + version "8.17.1" + resolved "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz" + integrity sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g== + dependencies: + fast-deep-equal "^3.1.3" + fast-uri "^3.0.1" + json-schema-traverse "^1.0.0" + require-from-string "^2.0.2" + alphanum-sort@^1.0.2: version "1.0.2" resolved "https://registry.npmjs.org/alphanum-sort/-/alphanum-sort-1.0.2.tgz" - integrity sha1-l6ERlkmyEa0zaR2fn0hqjsn74KM= + integrity sha1-l6ERlkmyEa0zaR2fn0hqjsn74KM= sha512-0FcBfdcmaumGPQ0qPn7Q5qTgz/ooXgIyp1rf8ik5bGX8mpE2YHjC0P/eyQvxu1GURYQgq9ozf2mteQ5ZD9YiyQ== ansi-html-community@^0.0.8: version "0.0.8" resolved "https://registry.npmjs.org/ansi-html-community/-/ansi-html-community-0.0.8.tgz" integrity sha512-1APHAyr3+PCamwNw3bXCPp4HFLONZt/yIH0sZp0/469KWNTEy+qN5jQ3GVX6DMZ1UXAi34yVwtTeaG/HpBuuzw== -ansi-regex@^6.0.1: - version "6.0.1" - resolved "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz" - integrity sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA== - -ansi-styles@^3.2.1: - version "3.2.1" - resolved "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz" - integrity sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA== - dependencies: - color-convert "^1.9.0" - anymatch@~3.1.2: - version "3.1.2" - resolved "https://registry.npmjs.org/anymatch/-/anymatch-3.1.2.tgz" - integrity sha512-P43ePfOAIupkguHUycrc4qJ9kz8ZiuOUijaETwX7THt0Y/GNK7v0aa8rY816xWjZ7rJdA5XdMcpVFTKMq+RvWg== + version "3.1.3" + resolved "https://registry.npmjs.org/anymatch/-/anymatch-3.1.3.tgz" + integrity sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw== dependencies: normalize-path "^3.0.0" picomatch "^2.0.4" aria-hidden@^1.1.3: version "1.1.3" - resolved "https://registry.yarnpkg.com/aria-hidden/-/aria-hidden-1.1.3.tgz#bb48de18dc84787a3c6eee113709c473c64ec254" + resolved "https://registry.npmjs.org/aria-hidden/-/aria-hidden-1.1.3.tgz" integrity sha512-RhVWFtKH5BiGMycI72q2RAFMLQi8JP9bLuQXgR5a8Znp7P5KOIADSJeyfI8PCVxLEp067B2HbP5JIiI/PXIZeA== dependencies: tslib "^1.0.0" @@ -1657,28 +1553,11 @@ aria-hidden@^1.1.3: array-flatten@1.1.1: version "1.1.1" resolved "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz" - integrity sha1-ml9pkFGx5wczKPKgCJaLZOopVdI= - -array-flatten@^2.1.0: - version "2.1.2" - resolved "https://registry.npmjs.org/array-flatten/-/array-flatten-2.1.2.tgz" - integrity sha512-hNfzcOV8W4NdualtqBFPyVO+54DSJuZGY9qT4pRroB6S9e3iiido2ISIC5h9R2sPJ8H3FHCIiEnsv1lPXO3KtQ== - -array-union@^2.1.0: - version "2.1.0" - resolved "https://registry.npmjs.org/array-union/-/array-union-2.1.0.tgz" - integrity sha512-HGyxoOTYUyCM6stUe6EJgnd4EoewAI7zMdfqO+kGjnlZmBDz/cR5pf8r/cR4Wq60sL/p0IkcjUEEPwS3GFrIyw== - -async@^2.6.2: - version "2.6.3" - resolved "https://registry.npmjs.org/async/-/async-2.6.3.tgz" - integrity sha512-zflvls11DCy+dQWzTW2dzuilv8Z5X/pjfmZOWba6TNIVDm+2UDaJmXSOXlasHKfNBs8oo3M0aT50fDEWfKZjXg== - dependencies: - lodash "^4.17.14" + integrity sha1-ml9pkFGx5wczKPKgCJaLZOopVdI= sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg== autoprefixer@^10.4.4: version "10.4.4" - resolved "https://registry.yarnpkg.com/autoprefixer/-/autoprefixer-10.4.4.tgz#3e85a245b32da876a893d3ac2ea19f01e7ea5a1e" + resolved "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.4.tgz" integrity sha512-Tm8JxsB286VweiZ5F0anmbyGiNI3v3wGv3mz9W+cxEDYB/6jbnj6GM9H9mK3wIL8ftgl+C07Lcwb8PG5PCCPzA== dependencies: browserslist "^4.20.2" @@ -1690,7 +1569,7 @@ autoprefixer@^10.4.4: babel-loader@^8.2.4: version "8.2.4" - resolved "https://registry.yarnpkg.com/babel-loader/-/babel-loader-8.2.4.tgz#95f5023c791b2e9e2ca6f67b0984f39c82ff384b" + resolved "https://registry.npmjs.org/babel-loader/-/babel-loader-8.2.4.tgz" integrity sha512-8dytA3gcvPPPv4Grjhnt8b5IIiTcq/zeXOPk4iTYI0SVXcsmuGg7JtBRDp8S9X+gJfhQ8ektjXZlDu1Bb33U8A== dependencies: find-cache-dir "^3.3.1" @@ -1716,7 +1595,7 @@ babel-plugin-polyfill-corejs2@^0.3.0: babel-plugin-polyfill-corejs3@^0.5.0: version "0.5.2" - resolved "https://registry.yarnpkg.com/babel-plugin-polyfill-corejs3/-/babel-plugin-polyfill-corejs3-0.5.2.tgz#aabe4b2fa04a6e038b688c5e55d44e78cd3a5f72" + resolved "https://registry.npmjs.org/babel-plugin-polyfill-corejs3/-/babel-plugin-polyfill-corejs3-0.5.2.tgz" integrity sha512-G3uJih0XWiID451fpeFaYGVuxHEjzKTHtc9uGFEjR6hHrvNzeS/PX+LLLcetJcytsB5m4j+K3o/EpXJNb/5IEQ== dependencies: "@babel/helper-define-polyfill-provider" "^0.3.1" @@ -1734,10 +1613,15 @@ balanced-match@^1.0.0: resolved "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz" integrity sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw== +baseline-browser-mapping@^2.8.9: + version "2.8.17" + resolved "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.8.17.tgz" + integrity sha512-j5zJcx6golJYTG6c05LUZ3Z8Gi+M62zRT/ycz4Xq4iCOdpcxwg7ngEYD4KA0eWZC7U17qh/Smq8bYbACJ0ipBA== + batch@0.6.1: version "0.6.1" resolved "https://registry.npmjs.org/batch/-/batch-0.6.1.tgz" - integrity sha1-3DQxT05nkxgJP8dgJyUl+UvyXBY= + integrity sha1-3DQxT05nkxgJP8dgJyUl+UvyXBY= sha512-x+VAiMRL6UPkx+kudNvxTl6hB2XNNCG2r+7wixVfIYwu/2HKRXimwQyaumLjMveWvT2Hkd/cAJw+QBMfJ/EKVw== big.js@^5.2.2: version "5.2.2" @@ -1745,112 +1629,85 @@ big.js@^5.2.2: integrity sha512-vyL2OymJxmarO8gxMr0mhChsO9QGwhynfuu4+MHTAW6czfq9humCB7rKpUjDd9YUiDPU4mzpyupFSvOClAwbmQ== binary-extensions@^2.0.0: - version "2.2.0" - resolved "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.2.0.tgz" - integrity sha512-jDctJ/IVQbZoJykoeHbhXpOlNBqGNcwXJKJog42E5HDPUwQTSdjCHdihjj0DlnheQ7blbT6dHOafNAiS8ooQKA== + version "2.3.0" + resolved "https://registry.npmjs.org/binary-extensions/-/binary-extensions-2.3.0.tgz" + integrity sha512-Ceh+7ox5qe7LJuLHoY0feh3pHuUDHAcRUeyL2VYghZwfpkNIy/+8Ocg0a3UuSoYzavmylwuLWQOf3hl0jjMMIw== -body-parser@1.19.0: - version "1.19.0" - resolved "https://registry.npmjs.org/body-parser/-/body-parser-1.19.0.tgz" - integrity sha512-dhEPs72UPbDnAQJ9ZKMNTP6ptJaionhP5cBb541nXPlW60Jepo9RV/a4fX4XWW9CuFNK22krhrj1+rgzifNCsw== +body-parser@1.20.3: + version "1.20.3" + resolved "https://registry.npmjs.org/body-parser/-/body-parser-1.20.3.tgz" + integrity sha512-7rAxByjUMqQ3/bHJy7D6OGXvx/MMc4IqBn/X0fcM1QUcAItpZrBEYhWGem+tzXH90c+G01ypMcYJBO9Y30203g== dependencies: - bytes "3.1.0" - content-type "~1.0.4" + bytes "3.1.2" + content-type "~1.0.5" debug "2.6.9" - depd "~1.1.2" - http-errors "1.7.2" + depd "2.0.0" + destroy "1.2.0" + http-errors "2.0.0" iconv-lite "0.4.24" - on-finished "~2.3.0" - qs "6.7.0" - raw-body "2.4.0" - type-is "~1.6.17" - -bonjour@^3.5.0: - version "3.5.0" - resolved "https://registry.npmjs.org/bonjour/-/bonjour-3.5.0.tgz" - integrity sha1-jokKGD2O6aI5OzhExpGkK897yfU= - dependencies: - array-flatten "^2.1.0" - deep-equal "^1.0.1" - dns-equal "^1.0.0" - dns-txt "^2.0.2" - multicast-dns "^6.0.1" - multicast-dns-service-types "^1.1.0" + on-finished "2.4.1" + qs "6.13.0" + raw-body "2.5.2" + type-is "~1.6.18" + unpipe "1.0.0" + +bonjour-service@^1.2.1: + version "1.3.0" + resolved "https://registry.npmjs.org/bonjour-service/-/bonjour-service-1.3.0.tgz" + integrity sha512-3YuAUiSkWykd+2Azjgyxei8OWf8thdn8AITIog2M4UICzoqfjlqr64WIjEXZllf/W6vK1goqleSR6brGomxQqA== + dependencies: + fast-deep-equal "^3.1.3" + multicast-dns "^7.2.5" boolbase@^1.0.0: version "1.0.0" resolved "https://registry.npmjs.org/boolbase/-/boolbase-1.0.0.tgz" - integrity sha1-aN/1++YMUes3cl6p4+0xDcwed24= + integrity sha1-aN/1++YMUes3cl6p4+0xDcwed24= sha512-JZOSA7Mo9sNGB8+UjSgzdLtokWAky1zbztM3WRLCbZ70/3cTANmQmOdR7y2g+J0e2WXywy1yS468tY+IruqEww== -brace-expansion@^1.1.7: - version "1.1.11" - resolved "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz" - integrity sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA== - dependencies: - balanced-match "^1.0.0" - concat-map "0.0.1" - -braces@^3.0.1, braces@~3.0.2: - version "3.0.2" - resolved "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz" - integrity sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A== - dependencies: - fill-range "^7.0.1" - -browserslist@^4.0.0, browserslist@^4.14.5, browserslist@^4.16.0, browserslist@^4.16.6, browserslist@^4.17.5: - version "4.18.1" - resolved "https://registry.npmjs.org/browserslist/-/browserslist-4.18.1.tgz" - integrity sha512-8ScCzdpPwR2wQh8IT82CA2VgDwjHyqMovPBZSNH54+tm4Jk2pCuv90gmAdH6J84OCRWi0b4gMe6O6XPXuJnjgQ== - dependencies: - caniuse-lite "^1.0.30001280" - electron-to-chromium "^1.3.896" - escalade "^3.1.1" - node-releases "^2.0.1" - picocolors "^1.0.0" - -browserslist@^4.19.1: - version "4.19.1" - resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.19.1.tgz#4ac0435b35ab655896c31d53018b6dd5e9e4c9a3" - integrity sha512-u2tbbG5PdKRTUoctO3NBD8FQ5HdPh1ZXPHzp1rwaa5jTc+RV9/+RlWiAIKmjRPQF+xbGM9Kklj5bZQFa2s/38A== +braces@^3.0.3, braces@~3.0.2: + version "3.0.3" + resolved "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz" + integrity sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA== dependencies: - caniuse-lite "^1.0.30001286" - electron-to-chromium "^1.4.17" - escalade "^3.1.1" - node-releases "^2.0.1" - picocolors "^1.0.0" + fill-range "^7.1.1" -browserslist@^4.20.2: - version "4.20.2" - resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.20.2.tgz#567b41508757ecd904dab4d1c646c612cd3d4f88" - integrity sha512-CQOBCqp/9pDvDbx3xfMi+86pr4KXIf2FDkTTdeuYw8OxS9t898LA1Khq57gtufFILXpfgsSx5woNgsBgvGjpsA== +browserslist@^4.0.0, browserslist@^4.16.0, browserslist@^4.16.6, browserslist@^4.17.5, browserslist@^4.20.2, browserslist@^4.26.3, "browserslist@>= 4.21.0": + version "4.26.3" + resolved "https://registry.npmjs.org/browserslist/-/browserslist-4.26.3.tgz" + integrity sha512-lAUU+02RFBuCKQPj/P6NgjlbCnLBMp4UtgTx7vNHd3XSIJF87s9a5rA3aH2yw3GS9DqZAUbOtZdCCiZeVRqt0w== dependencies: - caniuse-lite "^1.0.30001317" - electron-to-chromium "^1.4.84" - escalade "^3.1.1" - node-releases "^2.0.2" - picocolors "^1.0.0" + baseline-browser-mapping "^2.8.9" + caniuse-lite "^1.0.30001746" + electron-to-chromium "^1.5.227" + node-releases "^2.0.21" + update-browserslist-db "^1.1.3" buffer-from@^1.0.0: version "1.1.2" resolved "https://registry.npmjs.org/buffer-from/-/buffer-from-1.1.2.tgz" integrity sha512-E+XQCRwSbaaiChtv6k6Dwgc+bx+Bs6vuKJHHl5kox/BaKbhiXzqQOwK4cO22yElGp2OCmjwVhT3HmxgyPGnJfQ== -buffer-indexof@^1.0.0: - version "1.1.1" - resolved "https://registry.npmjs.org/buffer-indexof/-/buffer-indexof-1.1.1.tgz" - integrity sha512-4/rOEg86jivtPTeOUUT61jJO1Ya1TrR/OkqCSZDyq84WJh3LuuiphBYJN+fm5xufIk4XAFcEwte/8WzC8If/1g== +bundle-name@^4.1.0: + version "4.1.0" + resolved "https://registry.npmjs.org/bundle-name/-/bundle-name-4.1.0.tgz" + integrity sha512-tjwM5exMg6BGRI+kNmTntNsvdZS1X8BFYS6tnJ2hdH0kVxM6/eVZ2xy+FqStSWvYmtfFMDLIxurorHwDKfDz5Q== + dependencies: + run-applescript "^7.0.0" -bytes@3.0.0: - version "3.0.0" - resolved "https://registry.npmjs.org/bytes/-/bytes-3.0.0.tgz" - integrity sha1-0ygVQE1olpn4Wk6k+odV3ROpYEg= +bytes@3.1.2: + version "3.1.2" + resolved "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz" + integrity sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg== -bytes@3.1.0: - version "3.1.0" - resolved "https://registry.npmjs.org/bytes/-/bytes-3.1.0.tgz" - integrity sha512-zauLjrfCG+xvoyaqLoV8bLVXXNGC4JqlxFCutSDWA6fJrTo2ZuvLYTqZ7aHBLZSMOopbzwv8f+wZcVzfVTI2Dg== +call-bind-apply-helpers@^1.0.1, call-bind-apply-helpers@^1.0.2: + version "1.0.2" + resolved "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz" + integrity sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ== + dependencies: + es-errors "^1.3.0" + function-bind "^1.1.2" -call-bind@^1.0.0, call-bind@^1.0.2: +call-bind@^1.0.0: version "1.0.2" resolved "https://registry.npmjs.org/call-bind/-/call-bind-1.0.2.tgz" integrity sha512-7O+FbCihrB5WGbFYesctwmTKae6rOiIzmz1icreWJ+0aA7LJfuqhEso2T9ncpcFtzMQtzXf2QGGueWJGTYsqrA== @@ -1858,6 +1715,14 @@ call-bind@^1.0.0, call-bind@^1.0.2: function-bind "^1.1.1" get-intrinsic "^1.0.2" +call-bound@^1.0.2: + version "1.0.4" + resolved "https://registry.npmjs.org/call-bound/-/call-bound-1.0.4.tgz" + integrity sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg== + dependencies: + call-bind-apply-helpers "^1.0.2" + get-intrinsic "^1.3.0" + callsites@^3.0.0: version "3.1.0" resolved "https://registry.npmjs.org/callsites/-/callsites-3.1.0.tgz" @@ -1873,34 +1738,15 @@ caniuse-api@^3.0.0: lodash.memoize "^4.1.2" lodash.uniq "^4.5.0" -caniuse-lite@^1.0.0, caniuse-lite@^1.0.30001280: - version "1.0.30001285" - resolved "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001285.tgz" - integrity sha512-KAOkuUtcQ901MtmvxfKD+ODHH9YVDYnBt+TGYSz2KIfnq22CiArbUxXPN9067gNbgMlnNYRSwho8OPXZPALB9Q== - -caniuse-lite@^1.0.30001286: - version "1.0.30001301" - resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001301.tgz#ebc9086026534cab0dab99425d9c3b4425e5f450" - integrity sha512-csfD/GpHMqgEL3V3uIgosvh+SVIQvCh43SNu9HRbP1lnxkKm1kjDG4f32PP571JplkLjfS+mg2p1gxR7MYrrIA== - -caniuse-lite@^1.0.30001317: - version "1.0.30001323" - resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001323.tgz#a451ff80dec7033016843f532efda18f02eec011" - integrity sha512-e4BF2RlCVELKx8+RmklSEIVub1TWrmdhvA5kEUueummz1XyySW0DVk+3x9HyhU9MuWTa2BhqLgEuEmUwASAdCA== +caniuse-lite@^1.0.0, caniuse-lite@^1.0.30001317, caniuse-lite@^1.0.30001746: + version "1.0.30001751" + resolved "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001751.tgz" + integrity sha512-A0QJhug0Ly64Ii3eIqHu5X51ebln3k4yTUkY1j8drqpWHVreg/VLijN48cZ1bYPiqOQuqpkIKnzr/Ul8V+p6Cw== -chalk@^2.0.0: - version "2.4.2" - resolved "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz" - integrity sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ== - dependencies: - ansi-styles "^3.2.1" - escape-string-regexp "^1.0.5" - supports-color "^5.3.0" - -chokidar@^3.5.3: - version "3.5.3" - resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.5.3.tgz#1cf37c8707b932bd1af1ae22c0432e2acd1903bd" - integrity sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw== +chokidar@^3.6.0: + version "3.6.0" + resolved "https://registry.npmjs.org/chokidar/-/chokidar-3.6.0.tgz" + integrity sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw== dependencies: anymatch "~3.1.2" braces "~3.0.2" @@ -1922,11 +1768,6 @@ classnames@^2.3.1: resolved "https://registry.npmjs.org/classnames/-/classnames-2.3.1.tgz" integrity sha512-OlQdbZ7gLfGarSqxesMesDa5uz7KFbID8Kpq/SxIoNGDqY8lSYs0D+hhtBXhcdB3rcbXArFr7vlHheLk1voeNA== -clean-stack@^2.0.0: - version "2.2.0" - resolved "https://registry.npmjs.org/clean-stack/-/clean-stack-2.2.0.tgz" - integrity sha512-4diC9HaTE+KRAMWhDhrGOECgWZxoevMc5TlkObMqNSsVU62PYzXZ/SMTjzyGAFF1YusgxGcSWTEXBhp0CPwQ1A== - clone-deep@^4.0.1: version "4.0.1" resolved "https://registry.npmjs.org/clone-deep/-/clone-deep-4.0.1.tgz" @@ -1936,18 +1777,6 @@ clone-deep@^4.0.1: kind-of "^6.0.2" shallow-clone "^3.0.0" -color-convert@^1.9.0: - version "1.9.3" - resolved "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz" - integrity sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg== - dependencies: - color-name "1.1.3" - -color-name@1.1.3: - version "1.1.3" - resolved "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz" - integrity sha1-p9BVi9icQveV3UIyj3QIMcpTvCU= - colord@^2.9.1: version "2.9.1" resolved "https://registry.npmjs.org/colord/-/colord-2.9.1.tgz" @@ -1971,9 +1800,9 @@ commander@^7.0.0, commander@^7.2.0: commondir@^1.0.1: version "1.0.1" resolved "https://registry.npmjs.org/commondir/-/commondir-1.0.1.tgz" - integrity sha1-3dgA2gxmEnOTzKWVDqloo6rxJTs= + integrity sha1-3dgA2gxmEnOTzKWVDqloo6rxJTs= sha512-W9pAhw0ja1Edb5GVdIF1mjZw/ASI0AlShXM83UUGe2DVr5TdAPEA1OA8m/g8zWp9x6On7gqufY+FatDbC3MDQg== -compressible@~2.0.16: +compressible@~2.0.18: version "2.0.18" resolved "https://registry.npmjs.org/compressible/-/compressible-2.0.18.tgz" integrity sha512-AF3r7P5dWxL8MxyITRMlORQNaOA2IkAFaTr4k7BUumjPtRpGDTZpl0Pb1XCO6JeDCBdp126Cgs9sMxqSjgYyRg== @@ -1981,16 +1810,16 @@ compressible@~2.0.16: mime-db ">= 1.43.0 < 2" compression@^1.7.4: - version "1.7.4" - resolved "https://registry.npmjs.org/compression/-/compression-1.7.4.tgz" - integrity sha512-jaSIDzP9pZVS4ZfQ+TzvtiWhdpFhE2RDHz8QJkpX9SIpLq88VueF5jJw6t+6CUQcAoA6t+x89MLrWAqpfDE8iQ== + version "1.8.1" + resolved "https://registry.npmjs.org/compression/-/compression-1.8.1.tgz" + integrity sha512-9mAqGPHLakhCLeNyxPkK4xVo746zQ/czLH1Ky+vkitMnWfWZps8r0qXuwhwizagCRttsL4lfG4pIOvaWLpAP0w== dependencies: - accepts "~1.3.5" - bytes "3.0.0" - compressible "~2.0.16" + bytes "3.1.2" + compressible "~2.0.18" debug "2.6.9" - on-headers "~1.0.2" - safe-buffer "5.1.2" + negotiator "~0.6.4" + on-headers "~1.1.0" + safe-buffer "5.2.1" vary "~1.1.2" compute-scroll-into-view@^1.0.17: @@ -1998,27 +1827,22 @@ compute-scroll-into-view@^1.0.17: resolved "https://registry.npmjs.org/compute-scroll-into-view/-/compute-scroll-into-view-1.0.17.tgz" integrity sha512-j4dx+Fb0URmzbwwMUrhqWM2BEWHdFGx+qZ9qqASHRPqvTYdqvWnHg0H1hIbcyLnvgnoNAVMlwkepyqM3DaIFUg== -concat-map@0.0.1: - version "0.0.1" - resolved "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz" - integrity sha1-2Klr13/Wjfd5OnMDajug1UBdR3s= - -connect-history-api-fallback@^1.6.0: - version "1.6.0" - resolved "https://registry.npmjs.org/connect-history-api-fallback/-/connect-history-api-fallback-1.6.0.tgz" - integrity sha512-e54B99q/OUoH64zYYRf3HBP5z24G38h5D3qXu23JGRoigpX5Ss4r9ZnDk3g0Z8uQC2x2lPaJ+UlWBc1ZWBWdLg== +connect-history-api-fallback@^2.0.0: + version "2.0.0" + resolved "https://registry.npmjs.org/connect-history-api-fallback/-/connect-history-api-fallback-2.0.0.tgz" + integrity sha512-U73+6lQFmfiNPrYbXqr6kZ1i1wiRqXnp2nhMsINseWXO8lDau0LGEffJ8kQi4EjLZympVgRdvqjAgiZ1tgzDDA== -content-disposition@0.5.3: - version "0.5.3" - resolved "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.3.tgz" - integrity sha512-ExO0774ikEObIAEV9kDo50o+79VCUdEB6n6lzKgGwupcVeRlhrj3qGAfwq8G6uBJjkqLrhT0qEYFcWng8z1z0g== +content-disposition@0.5.4: + version "0.5.4" + resolved "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz" + integrity sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ== dependencies: - safe-buffer "5.1.2" + safe-buffer "5.2.1" -content-type@~1.0.4: - version "1.0.4" - resolved "https://registry.npmjs.org/content-type/-/content-type-1.0.4.tgz" - integrity sha512-hIP3EEPs8tB9AT1L+NUqtwOAps4mk2Zob89MWXMHjHWg9milF/j4osnnQLXBCBFBk/tvIG/tUc9mOUJiPBhPXA== +content-type@~1.0.4, content-type@~1.0.5: + version "1.0.5" + resolved "https://registry.npmjs.org/content-type/-/content-type-1.0.5.tgz" + integrity sha512-nTjqfcBFEipKdXCv4YDQWCfmcLZKm81ldF0pAopTvyrFGVbcR6P/VAAd5G7N+0tTr8QqiU0tFadD6FK4NtJwOA== convert-source-map@^1.7.0: version "1.8.0" @@ -2030,20 +1854,19 @@ convert-source-map@^1.7.0: cookie-signature@1.0.6: version "1.0.6" resolved "https://registry.npmjs.org/cookie-signature/-/cookie-signature-1.0.6.tgz" - integrity sha1-4wOogrNCzD7oylE6eZmXNNqzriw= + integrity sha1-4wOogrNCzD7oylE6eZmXNNqzriw= sha512-QADzlaHc8icV8I7vbaJXJwod9HWYp8uCqf1xa4OfNu1T7JVxQIrUgOWtHdNDtPiywmFbiS12VjotIXLrKM3orQ== -cookie@0.4.0: - version "0.4.0" - resolved "https://registry.npmjs.org/cookie/-/cookie-0.4.0.tgz" - integrity sha512-+Hp8fLp57wnUSt0tY0tHEXh4voZRDnoIrZPqlo3DPiI4y9lwg/jqx+1Om94/W6ZaPDOUbnjOt/99w66zk+l1Xg== +cookie@0.7.1: + version "0.7.1" + resolved "https://registry.npmjs.org/cookie/-/cookie-0.7.1.tgz" + integrity sha512-6DnInpx7SJ2AK3+CTUE/ZM0vWTUboZCegxhC2xiIydHR9jNuTAASBrfEpHhiGOZw/nX51bHt6YQl8jsGo4y/0w== core-js-compat@^3.20.2, core-js-compat@^3.21.0: - version "3.21.1" - resolved "https://registry.yarnpkg.com/core-js-compat/-/core-js-compat-3.21.1.tgz#cac369f67c8d134ff8f9bd1623e3bc2c42068c82" - integrity sha512-gbgX5AUvMb8gwxC7FLVWYT7Kkgu/y7+h/h1X43yJkNqhlK2fuYyQimqvKGNZFAY6CKii/GFKJ2cp/1/42TN36g== + version "3.46.0" + resolved "https://registry.npmjs.org/core-js-compat/-/core-js-compat-3.46.0.tgz" + integrity sha512-p9hObIIEENxSV8xIu+V68JjSeARg6UVMG5mR+JEUguG3sI6MsiS1njz2jHmyJDvA+8jX/sytkBHup6kxhM9law== dependencies: - browserslist "^4.19.1" - semver "7.0.0" + browserslist "^4.26.3" core-util-is@~1.0.0: version "1.0.3" @@ -2062,9 +1885,9 @@ cosmiconfig@^7.0.0: yaml "^1.10.0" cross-spawn@^7.0.3: - version "7.0.3" - resolved "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.3.tgz" - integrity sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w== + version "7.0.6" + resolved "https://registry.npmjs.org/cross-spawn/-/cross-spawn-7.0.6.tgz" + integrity sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA== dependencies: path-key "^3.1.0" shebang-command "^2.0.0" @@ -2072,13 +1895,13 @@ cross-spawn@^7.0.3: css-blank-pseudo@^3.0.3: version "3.0.3" - resolved "https://registry.yarnpkg.com/css-blank-pseudo/-/css-blank-pseudo-3.0.3.tgz#36523b01c12a25d812df343a32c322d2a2324561" + resolved "https://registry.npmjs.org/css-blank-pseudo/-/css-blank-pseudo-3.0.3.tgz" integrity sha512-VS90XWtsHGqoM0t4KpH053c4ehxZ2E6HtGI7x68YFV0pTo/QmkV/YFA+NnlvK8guxZVNWGQhVNJGC39Q8XF4OQ== dependencies: postcss-selector-parser "^6.0.9" css-declaration-sorter@^6.0.3: - version "6.1.2" + version "6.1.3" resolved "https://registry.npmjs.org/css-declaration-sorter/-/css-declaration-sorter-6.1.3.tgz" integrity sha512-SvjQjNRZgh4ULK1LDJ2AduPKUKxIqmtU7ZAyi47BTV+M90Qvxr9AB6lKlLbDUfXqI9IQeYA8LbAsCZPpJEV3aA== dependencies: @@ -2086,14 +1909,14 @@ css-declaration-sorter@^6.0.3: css-has-pseudo@^3.0.4: version "3.0.4" - resolved "https://registry.yarnpkg.com/css-has-pseudo/-/css-has-pseudo-3.0.4.tgz#57f6be91ca242d5c9020ee3e51bbb5b89fc7af73" + resolved "https://registry.npmjs.org/css-has-pseudo/-/css-has-pseudo-3.0.4.tgz" integrity sha512-Vse0xpR1K9MNlp2j5w1pgWIJtm1a8qS0JwS9goFYcImjlHEmywP9VUF05aGBXzGpDJF86QXk4L0ypBmwPhGArw== dependencies: postcss-selector-parser "^6.0.9" css-loader@^6.7.1: version "6.7.1" - resolved "https://registry.yarnpkg.com/css-loader/-/css-loader-6.7.1.tgz#e98106f154f6e1baf3fc3bc455cb9981c1d5fd2e" + resolved "https://registry.npmjs.org/css-loader/-/css-loader-6.7.1.tgz" integrity sha512-yB5CNFa14MbPJcomwNh3wLThtkZgcNyI2bNMRt8iE5Z8Vwl7f8vQXFAzn2HDOJvtDq2NTZBUGMSUNNyrv3/+cw== dependencies: icss-utils "^5.1.0" @@ -2107,7 +1930,7 @@ css-loader@^6.7.1: css-minimizer-webpack-plugin@^3.4.1: version "3.4.1" - resolved "https://registry.yarnpkg.com/css-minimizer-webpack-plugin/-/css-minimizer-webpack-plugin-3.4.1.tgz#ab78f781ced9181992fe7b6e4f3422e76429878f" + resolved "https://registry.npmjs.org/css-minimizer-webpack-plugin/-/css-minimizer-webpack-plugin-3.4.1.tgz" integrity sha512-1u6D71zeIfgngN2XNRJefc/hY7Ybsxd74Jm4qngIXyUEk7fss3VUzuHxLAq/R8NAba4QU9OUSaMZlbpRc7bM4Q== dependencies: cssnano "^5.0.6" @@ -2119,7 +1942,7 @@ css-minimizer-webpack-plugin@^3.4.1: css-prefers-color-scheme@^6.0.3: version "6.0.3" - resolved "https://registry.yarnpkg.com/css-prefers-color-scheme/-/css-prefers-color-scheme-6.0.3.tgz#ca8a22e5992c10a5b9d315155e7caee625903349" + resolved "https://registry.npmjs.org/css-prefers-color-scheme/-/css-prefers-color-scheme-6.0.3.tgz" integrity sha512-4BqMbZksRkJQx2zAjrokiGMd07RqOa2IxIrrN10lyBe9xhn9DEvjUK79J6jkeiv9D9hQFXKb6g1jwU62jziJZA== css-select@^4.1.3: @@ -2148,7 +1971,7 @@ css-what@^5.0.0: cssdb@^6.5.0: version "6.5.0" - resolved "https://registry.yarnpkg.com/cssdb/-/cssdb-6.5.0.tgz#61264b71f29c834f09b59cb3e5b43c8226590122" + resolved "https://registry.npmjs.org/cssdb/-/cssdb-6.5.0.tgz" integrity sha512-Rh7AAopF2ckPXe/VBcoUS9JrCZNSyc60+KpgE6X25vpVxA32TmiqvExjkfhwP4wGSb6Xe8Z/JIyGqwgx/zZYFA== cssesc@^3.0.0: @@ -2213,50 +2036,37 @@ csso@^4.2.0: dependencies: css-tree "^1.1.2" -debug@2.6.9: - version "2.6.9" - resolved "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz" - integrity sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA== - dependencies: - ms "2.0.0" - -debug@^3.1.1: - version "3.2.7" - resolved "https://registry.npmjs.org/debug/-/debug-3.2.7.tgz" - integrity sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ== - dependencies: - ms "^2.1.1" - -debug@^4.1.0, debug@^4.1.1: +debug@^4.1.0, debug@^4.1.1, debug@^4.3.1: version "4.3.3" resolved "https://registry.npmjs.org/debug/-/debug-4.3.3.tgz" integrity sha512-/zxw5+vh1Tfv+4Qn7a5nsbcJKPaSvCDhojn6FEl9vupwK2VCSDtEiEtqr8DFtzYFOdz63LBkxec7DYuc2jon6Q== dependencies: ms "2.1.2" -deep-equal@^1.0.1: - version "1.1.1" - resolved "https://registry.npmjs.org/deep-equal/-/deep-equal-1.1.1.tgz" - integrity sha512-yd9c5AdiqVcR+JjcwUQb9DkhJc8ngNr0MahEBGvDiJw8puWab2yZlh+nkasOnZP+EGTAP6rRp2JzJhJZzvNF8g== +debug@2.6.9: + version "2.6.9" + resolved "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz" + integrity sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA== dependencies: - is-arguments "^1.0.4" - is-date-object "^1.0.1" - is-regex "^1.0.4" - object-is "^1.0.1" - object-keys "^1.1.1" - regexp.prototype.flags "^1.2.0" + ms "2.0.0" -default-gateway@^6.0.3: - version "6.0.3" - resolved "https://registry.npmjs.org/default-gateway/-/default-gateway-6.0.3.tgz" - integrity sha512-fwSOJsbbNzZ/CUFpqFBqYfYNLj1NbMPm8MMCIzHjC83iSJRBEGmDUxU+WP661BaBQImeC2yHwXtz+P/O9o+XEg== +default-browser-id@^5.0.0: + version "5.0.0" + resolved "https://registry.npmjs.org/default-browser-id/-/default-browser-id-5.0.0.tgz" + integrity sha512-A6p/pu/6fyBcA1TRz/GqWYPViplrftcW2gZC9q79ngNCKAeR/X3gcEdXQHl4KNXV+3wgIJ1CPkJQ3IHM6lcsyA== + +default-browser@^5.2.1: + version "5.2.1" + resolved "https://registry.npmjs.org/default-browser/-/default-browser-5.2.1.tgz" + integrity sha512-WY/3TUME0x3KPYdRRxEJJvXRHV4PyPoUsxtZa78lwItwRQRHhd2U9xOscaT/YTf8uCXIAjeJOFBVEh/7FtD8Xg== dependencies: - execa "^5.0.0" + bundle-name "^4.1.0" + default-browser-id "^5.0.0" -define-lazy-prop@^2.0.0: - version "2.0.0" - resolved "https://registry.npmjs.org/define-lazy-prop/-/define-lazy-prop-2.0.0.tgz" - integrity sha512-Ds09qNh8yw3khSjiJjiUInaGX9xlqZDY7JVryGxdxV7NPeuqQfplOpQ66yJFZut3jLa5zOwkXw1g9EI2uKh4Og== +define-lazy-prop@^3.0.0: + version "3.0.0" + resolved "https://registry.npmjs.org/define-lazy-prop/-/define-lazy-prop-3.0.0.tgz" + integrity sha512-N+MeXYoqr3pOgn8xfyRPREN7gHakLYjhsHhWGT3fWAiL4IkAt0iDw14QiiEm2bE30c5XX5q0FtAA3CK5f9/BUg== define-properties@^1.1.3: version "1.1.3" @@ -2265,61 +2075,32 @@ define-properties@^1.1.3: dependencies: object-keys "^1.0.12" -del@^6.0.0: - version "6.0.0" - resolved "https://registry.npmjs.org/del/-/del-6.0.0.tgz" - integrity sha512-1shh9DQ23L16oXSZKB2JxpL7iMy2E0S9d517ptA1P8iw0alkPtQcrKH7ru31rYtKwF499HkTu+DRzq3TCKDFRQ== - dependencies: - globby "^11.0.1" - graceful-fs "^4.2.4" - is-glob "^4.0.1" - is-path-cwd "^2.2.0" - is-path-inside "^3.0.2" - p-map "^4.0.0" - rimraf "^3.0.2" - slash "^3.0.0" - depd@~1.1.2: version "1.1.2" resolved "https://registry.npmjs.org/depd/-/depd-1.1.2.tgz" - integrity sha1-m81S4UwJd2PnSbJ0xDRu0uVgtak= + integrity sha1-m81S4UwJd2PnSbJ0xDRu0uVgtak= sha512-7emPTl6Dpo6JRXOXjLRxck+FlLRX5847cLKEn00PLAgc3g2hTZZgr+e4c2v6QpSmLeFP3n5yUo7ft6avBK/5jQ== -destroy@~1.0.4: - version "1.0.4" - resolved "https://registry.npmjs.org/destroy/-/destroy-1.0.4.tgz" - integrity sha1-l4hXRCxEdJ5CBmE+N5RiBYJqvYA= +depd@2.0.0: + version "2.0.0" + resolved "https://registry.npmjs.org/depd/-/depd-2.0.0.tgz" + integrity sha512-g7nH6P6dyDioJogAAGprGpCtVImJhpPk/roCzdb3fIh61/s/nPsfR6onyMwkCAR/OlC3yBC0lESvUoQEAssIrw== + +destroy@1.2.0: + version "1.2.0" + resolved "https://registry.npmjs.org/destroy/-/destroy-1.2.0.tgz" + integrity sha512-2sJGJTaXIIaR1w4iJSNoN0hnMY7Gpc/n8D4qSCJw8QqFWXf7cuAgnEHxBpweaVcPevC2l3KpjYCx3NypQQgaJg== detect-node@^2.0.4: version "2.1.0" resolved "https://registry.npmjs.org/detect-node/-/detect-node-2.1.0.tgz" integrity sha512-T0NIuQpnTvFDATNuHN5roPwSBG83rFsuO+MXXH9/3N1eFbn4wcPjttvjMLEPWJ0RGUYgQE7cGgS3tNxbqCGM7g== -dir-glob@^3.0.1: - version "3.0.1" - resolved "https://registry.npmjs.org/dir-glob/-/dir-glob-3.0.1.tgz" - integrity sha512-WkrWp9GR4KXfKGYzOLmTuGVi1UWFfws377n9cc55/tb6DuqyF6pcQ5AbiHEshaDpY9v6oaSr2XCDidGmMwdzIA== - dependencies: - path-type "^4.0.0" - -dns-equal@^1.0.0: - version "1.0.0" - resolved "https://registry.npmjs.org/dns-equal/-/dns-equal-1.0.0.tgz" - integrity sha1-s55/HabrCnW6nBcySzR1PEfgZU0= - -dns-packet@^1.3.1: - version "1.3.4" - resolved "https://registry.npmjs.org/dns-packet/-/dns-packet-1.3.4.tgz" - integrity sha512-BQ6F4vycLXBvdrJZ6S3gZewt6rcrks9KBgM9vrhW+knGRqc8uEdT7fuCwloc7nny5xNoMJ17HGH0R/6fpo8ECA== - dependencies: - ip "^1.1.0" - safe-buffer "^5.0.1" - -dns-txt@^2.0.2: - version "2.0.2" - resolved "https://registry.npmjs.org/dns-txt/-/dns-txt-2.0.2.tgz" - integrity sha1-uR2Ab10nGI5Ks+fRB9iBocxGQrY= +dns-packet@^5.2.2: + version "5.6.1" + resolved "https://registry.npmjs.org/dns-packet/-/dns-packet-5.6.1.tgz" + integrity sha512-l4gcSouhcgIKRvyy99RNVOgxXiicE+2jZoNmaNmZ6JXiGajBOJAesk1OBlJuM5k2c+eudGdLxDqXuPCKIj6kpw== dependencies: - buffer-indexof "^1.0.0" + "@leichtgewicht/ip-codec" "^2.0.1" dom-serializer@^1.0.1: version "1.3.2" @@ -2362,25 +2143,24 @@ downshift@^6.1.7: react-is "^17.0.2" tslib "^2.3.0" +dunder-proto@^1.0.1: + version "1.0.1" + resolved "https://registry.npmjs.org/dunder-proto/-/dunder-proto-1.0.1.tgz" + integrity sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A== + dependencies: + call-bind-apply-helpers "^1.0.1" + es-errors "^1.3.0" + gopd "^1.2.0" + ee-first@1.1.1: version "1.1.1" resolved "https://registry.npmjs.org/ee-first/-/ee-first-1.1.1.tgz" - integrity sha1-WQxhFWsK4vTwJVcyoViyZrxWsh0= + integrity sha1-WQxhFWsK4vTwJVcyoViyZrxWsh0= sha512-WMwm9LhRUo+WUaRN+vRuETqG89IgZphVSNkdFgeb6sS/E4OrDIN7t48CAewSHXc6C8lefD8KKfr5vY61brQlow== -electron-to-chromium@^1.3.896: - version "1.4.13" - resolved "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.13.tgz" - integrity sha512-ih5tIhzEuf78pBY70FXLo+Pw73R5MPPPcXb4CGBMJaCQt/qo/IGIesKXmswpemVCKSE2Bulr5FslUv7gAWJoOw== - -electron-to-chromium@^1.4.17: - version "1.4.51" - resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.51.tgz#a432f5a5d983ace79278a33057300cf949627e63" - integrity sha512-JNEmcYl3mk1tGQmy0EvL5eik/CKSBuzAyGP0QFdG6LIgxQe3II0BL1m2zKc2MZMf3uGqHWE1TFddJML0RpjSHQ== - -electron-to-chromium@^1.4.84: - version "1.4.103" - resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.103.tgz#abfe376a4d70fa1e1b4b353b95df5d6dfd05da3a" - integrity sha512-c/uKWR1Z/W30Wy/sx3dkZoj4BijbXX85QKWu9jJfjho3LBAXNEGAEW3oWiGb+dotA6C6BzCTxL2/aLes7jlUeg== +electron-to-chromium@^1.5.227: + version "1.5.237" + resolved "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.237.tgz" + integrity sha512-icUt1NvfhGLar5lSWH3tHNzablaA5js3HVHacQimfP8ViEBOQv+L7DKEuHdbTZ0SKCO1ogTJTIL1Gwk9S6Qvcg== emojis-list@^3.0.0: version "3.0.0" @@ -2390,12 +2170,17 @@ emojis-list@^3.0.0: encodeurl@~1.0.2: version "1.0.2" resolved "https://registry.npmjs.org/encodeurl/-/encodeurl-1.0.2.tgz" - integrity sha1-rT/0yG7C0CkyL1oCw6mmBslbP1k= + integrity sha1-rT/0yG7C0CkyL1oCw6mmBslbP1k= sha512-TPJXq8JqFaVYm2CWmPvnP2Iyo4ZSM7/QKcSmuMLDObfpH5fi7RUGmd/rTDf+rut/saiDiQEeVTNgAmJEdAOx0w== -enhanced-resolve@^5.9.2: - version "5.9.2" - resolved "https://registry.yarnpkg.com/enhanced-resolve/-/enhanced-resolve-5.9.2.tgz#0224dcd6a43389ebfb2d55efee517e5466772dd9" - integrity sha512-GIm3fQfwLJ8YZx2smuHpBKkXC1yOk+OBEmKckVyL0i/ea8mqDEykK3ld5dgH1QYPNyT/lIllxV2LULnxCHaHkA== +encodeurl@~2.0.0: + version "2.0.0" + resolved "https://registry.npmjs.org/encodeurl/-/encodeurl-2.0.0.tgz" + integrity sha512-Q0n9HRi4m6JuGIV1eFlmvJB7ZEVxu93IrMyiMsGC0lrMJMWzRgx6WGquyfQgZVb31vhGgXnfmPNNXmxnOkRBrg== + +enhanced-resolve@^5.17.3: + version "5.18.3" + resolved "https://registry.npmjs.org/enhanced-resolve/-/enhanced-resolve-5.18.3.tgz" + integrity sha512-d4lC8xfavMeBjzGr2vECC3fsGXziXZQyJxD868h2M/mBI3PwAuODxAkLkq5HYuvrPYcUtiLzsTo8U3PgX3Ocww== dependencies: graceful-fs "^4.2.4" tapable "^2.2.0" @@ -2417,25 +2202,37 @@ error-ex@^1.3.1: dependencies: is-arrayish "^0.2.1" -es-module-lexer@^0.9.0: - version "0.9.3" - resolved "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-0.9.3.tgz" - integrity sha512-1HQ2M2sPtxwnvOvT1ZClHyQDiggdNjURWpY2we6aMKCQiUVxTmVs2UYPLIrD84sS+kMdUwfBSylbJPwNnBrnHQ== +es-define-property@^1.0.1: + version "1.0.1" + resolved "https://registry.npmjs.org/es-define-property/-/es-define-property-1.0.1.tgz" + integrity sha512-e3nRfgfUZ4rNGL232gUgX06QNyyez04KdjFrF+LTRoOXmrOgFKDg4BCdsjW8EnT69eqdYGmRpJwiPVYNrCaW3g== + +es-errors@^1.3.0: + version "1.3.0" + resolved "https://registry.npmjs.org/es-errors/-/es-errors-1.3.0.tgz" + integrity sha512-Zf5H2Kxt2xjTvbJvP2ZWLEICxA6j+hAmMzIlypy4xcBg1vKVnx89Wy0GbS+kf5cwCVFFzdCFh2XSCFNULS6csw== -escalade@^3.1.1: - version "3.1.1" - resolved "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz" - integrity sha512-k0er2gUkLf8O0zKJiAhmkTnJlTvINGv7ygDNPbeIsX/TJjGJZHuh9B2UxbsaEkmlEo9MfhrSzmhIlhRlI2GXnw== +es-module-lexer@^1.2.1: + version "1.7.0" + resolved "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-1.7.0.tgz" + integrity sha512-jEQoCwk8hyb2AZziIOLhDqpm5+2ww5uIE6lkO/6jcOCusfk6LhMHpXXfBLXTZ7Ydyt0j4VoUQv6uGNYbdW+kBA== + +es-object-atoms@^1.0.0, es-object-atoms@^1.1.1: + version "1.1.1" + resolved "https://registry.npmjs.org/es-object-atoms/-/es-object-atoms-1.1.1.tgz" + integrity sha512-FGgH2h8zKNim9ljj7dankFPcICIK9Cp5bm+c2gQSYePhpaG5+esrLODihIorn+Pe6FGJzWhXQotPv73jTaldXA== + dependencies: + es-errors "^1.3.0" + +escalade@^3.2.0: + version "3.2.0" + resolved "https://registry.npmjs.org/escalade/-/escalade-3.2.0.tgz" + integrity sha512-WUj2qlxaQtO4g6Pq5c29GTcWGDyd8itL8zTlipgECz3JesAiiOKotd8JU6otB3PACgG6xkJUyVhboMS+bje/jA== escape-html@~1.0.3: version "1.0.3" resolved "https://registry.npmjs.org/escape-html/-/escape-html-1.0.3.tgz" - integrity sha1-Aljq5NPQwJdN4cFpGI7wBR0dGYg= - -escape-string-regexp@^1.0.5: - version "1.0.5" - resolved "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz" - integrity sha1-G2HAViGQqN/2rjuyzwIAyhMLhtQ= + integrity sha1-Aljq5NPQwJdN4cFpGI7wBR0dGYg= sha512-NiSupZ4OeuGwr68lGIeym/ksIZMJodUGOSCZ/FSnTxcrekbvqrgdUxlJOMpijaKZVjAJrWrGs/6Jy8OMuyj9ow== eslint-scope@5.1.1: version "5.1.1" @@ -2470,7 +2267,7 @@ esutils@^2.0.2: etag@~1.8.1: version "1.8.1" resolved "https://registry.npmjs.org/etag/-/etag-1.8.1.tgz" - integrity sha1-Qa4u62XvpiJorr/qg6x9eSmbCIc= + integrity sha1-Qa4u62XvpiJorr/qg6x9eSmbCIc= sha512-aIL5Fx7mawVa300al2BnEE4iNvo1qETxLrPI/o05L7z6go7fCw1J6EQmbK4FmJ2AS7kgVF/KEZWufBfdClMcPg== eventemitter3@^4.0.0: version "4.0.7" @@ -2497,38 +2294,39 @@ execa@^5.0.0: signal-exit "^3.0.3" strip-final-newline "^2.0.0" -express@^4.17.1: - version "4.17.1" - resolved "https://registry.npmjs.org/express/-/express-4.17.1.tgz" - integrity sha512-mHJ9O79RqluphRrcw2X/GTh3k9tVv8YcoyY4Kkh4WDMUYKRZUq0h1o0w2rrrxBqM7VoeUVqgb27xlEMXTnYt4g== +express@^4.21.2: + version "4.21.2" + resolved "https://registry.npmjs.org/express/-/express-4.21.2.tgz" + integrity sha512-28HqgMZAmih1Czt9ny7qr6ek2qddF4FclbMzwhCREB6OFfH+rXAnuNCwo1/wFvrtbgsQDb4kSbX9de9lFbrXnA== dependencies: - accepts "~1.3.7" + accepts "~1.3.8" array-flatten "1.1.1" - body-parser "1.19.0" - content-disposition "0.5.3" + body-parser "1.20.3" + content-disposition "0.5.4" content-type "~1.0.4" - cookie "0.4.0" + cookie "0.7.1" cookie-signature "1.0.6" debug "2.6.9" - depd "~1.1.2" - encodeurl "~1.0.2" + depd "2.0.0" + encodeurl "~2.0.0" escape-html "~1.0.3" etag "~1.8.1" - finalhandler "~1.1.2" + finalhandler "1.3.1" fresh "0.5.2" - merge-descriptors "1.0.1" + http-errors "2.0.0" + merge-descriptors "1.0.3" methods "~1.1.2" - on-finished "~2.3.0" + on-finished "2.4.1" parseurl "~1.3.3" - path-to-regexp "0.1.7" - proxy-addr "~2.0.5" - qs "6.7.0" + path-to-regexp "0.1.12" + proxy-addr "~2.0.7" + qs "6.13.0" range-parser "~1.2.1" - safe-buffer "5.1.2" - send "0.17.1" - serve-static "1.14.1" - setprototypeof "1.1.1" - statuses "~1.5.0" + safe-buffer "5.2.1" + send "0.19.0" + serve-static "1.16.2" + setprototypeof "1.2.0" + statuses "2.0.1" type-is "~1.6.18" utils-merge "1.0.1" vary "~1.1.2" @@ -2538,34 +2336,21 @@ fast-deep-equal@^3.1.1, fast-deep-equal@^3.1.3: resolved "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz" integrity sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q== -fast-glob@^3.1.1: - version "3.2.7" - resolved "https://registry.npmjs.org/fast-glob/-/fast-glob-3.2.7.tgz" - integrity sha512-rYGMRwip6lUMvYD3BTScMwT1HtAs2d71SMv66Vrxs0IekGZEjhM0pcMfjQPnknBt2zeCwQMEupiN02ZP4DiT1Q== - dependencies: - "@nodelib/fs.stat" "^2.0.2" - "@nodelib/fs.walk" "^1.2.3" - glob-parent "^5.1.2" - merge2 "^1.3.0" - micromatch "^4.0.4" - fast-json-stable-stringify@^2.0.0: version "2.1.0" resolved "https://registry.npmjs.org/fast-json-stable-stringify/-/fast-json-stable-stringify-2.1.0.tgz" integrity sha512-lhd/wF+Lk98HZoTCtlVraHtfh5XYijIjalXck7saUtuanSDyLMxnHhSXEDJqHxD7msR8D0uCmqlkwjCV8xvwHw== +fast-uri@^3.0.1: + version "3.1.0" + resolved "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz" + integrity sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA== + fastest-levenshtein@^1.0.12: version "1.0.12" resolved "https://registry.npmjs.org/fastest-levenshtein/-/fastest-levenshtein-1.0.12.tgz" integrity sha512-On2N+BpYJ15xIC974QNVuYGMOlEVt4s0EOI3wwMqOmK1fdDY+FN/zltPV8vosq4ad4c/gJ1KHScUn/6AWIgiow== -fastq@^1.6.0: - version "1.13.0" - resolved "https://registry.npmjs.org/fastq/-/fastq-1.13.0.tgz" - integrity sha512-YpkpUnK8od0o1hmeSc7UUs/eB/vIPWJYjKck2QKIzAf71Vm1AAQ3EbuZB3g2JIy+pg+ERD0vqI79KyZiB2e2Nw== - dependencies: - reusify "^1.0.4" - faye-websocket@^0.11.3: version "0.11.4" resolved "https://registry.npmjs.org/faye-websocket/-/faye-websocket-0.11.4.tgz" @@ -2573,24 +2358,24 @@ faye-websocket@^0.11.3: dependencies: websocket-driver ">=0.5.1" -fill-range@^7.0.1: - version "7.0.1" - resolved "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz" - integrity sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ== +fill-range@^7.1.1: + version "7.1.1" + resolved "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz" + integrity sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg== dependencies: to-regex-range "^5.0.1" -finalhandler@~1.1.2: - version "1.1.2" - resolved "https://registry.npmjs.org/finalhandler/-/finalhandler-1.1.2.tgz" - integrity sha512-aAWcW57uxVNrQZqFXjITpW3sIUQmHGG3qSb9mUah9MgMC4NeWhNOlNjXEYq3HjRAvL6arUviZGGJsBg6z0zsWA== +finalhandler@1.3.1: + version "1.3.1" + resolved "https://registry.npmjs.org/finalhandler/-/finalhandler-1.3.1.tgz" + integrity sha512-6BN9trH7bp3qvnrRyzsBz+g3lZxTNZTbVO2EV1CS0WIcDbawYVdYvGflME/9QP0h0pYlCDBCTjYa9nZzMDpyxQ== dependencies: debug "2.6.9" - encodeurl "~1.0.2" + encodeurl "~2.0.0" escape-html "~1.0.3" - on-finished "~2.3.0" + on-finished "2.4.1" parseurl "~1.3.3" - statuses "~1.5.0" + statuses "2.0.1" unpipe "~1.0.0" find-cache-dir@^3.3.1: @@ -2611,9 +2396,9 @@ find-up@^4.0.0: path-exists "^4.0.0" follow-redirects@^1.0.0: - version "1.14.8" - resolved "https://registry.yarnpkg.com/follow-redirects/-/follow-redirects-1.14.8.tgz#016996fb9a11a100566398b1c6839337d7bfa8fc" - integrity sha512-1x0S9UVJHsQprFcEC/qnNzBLcIxsjAV905f/UkQxbclCsoTWlacCNOpQa/anodLl2uaEKFhfWOvM2Qg77+15zA== + version "1.15.11" + resolved "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.11.tgz" + integrity sha512-deG2P0JfjrTxl50XGCDyfI97ZGVCxIpfKYmfyrQ54n5FO/0gfIES8C/Psl6kWVDolizcaaxZJnTS0QSMxvnsBQ== forwarded@0.2.0: version "0.2.0" @@ -2622,130 +2407,104 @@ forwarded@0.2.0: fraction.js@^4.2.0: version "4.2.0" - resolved "https://registry.yarnpkg.com/fraction.js/-/fraction.js-4.2.0.tgz#448e5109a313a3527f5a3ab2119ec4cf0e0e2950" + resolved "https://registry.npmjs.org/fraction.js/-/fraction.js-4.2.0.tgz" integrity sha512-MhLuK+2gUcnZe8ZHlaaINnQLl0xRIGRfcGk2yl8xoQAfHrSsL3rYu6FCmBdkdbhc9EPlwyGHewaRsvwRMJtAlA== fresh@0.5.2: version "0.5.2" resolved "https://registry.npmjs.org/fresh/-/fresh-0.5.2.tgz" - integrity sha1-PYyt2Q2XZWn6g1qx+OSyOhBWBac= - -fs-monkey@1.0.3: - version "1.0.3" - resolved "https://registry.npmjs.org/fs-monkey/-/fs-monkey-1.0.3.tgz" - integrity sha512-cybjIfiiE+pTWicSCLFHSrXZ6EilF30oh91FDP9S2B051prEa7QWfrVTQm10/dDpswBDXZugPa1Ogu8Yh+HV0Q== - -fs.realpath@^1.0.0: - version "1.0.0" - resolved "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz" - integrity sha1-FQStJSMVjKpA20onh8sBQRmU6k8= + integrity sha1-PYyt2Q2XZWn6g1qx+OSyOhBWBac= sha512-zJ2mQYM18rEFOudeV4GShTGIQ7RbzA7ozbU9I/XBpm7kqgMywgmylMwXHxZJmkVoYkna9d2pVXVXPdYTP9ej8Q== fsevents@~2.3.2: - version "2.3.2" - resolved "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz" - integrity sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA== + version "2.3.3" + resolved "https://registry.npmjs.org/fsevents/-/fsevents-2.3.3.tgz" + integrity sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw== -function-bind@^1.1.1: - version "1.1.1" - resolved "https://registry.npmjs.org/function-bind/-/function-bind-1.1.1.tgz" - integrity sha512-yIovAzMX49sF8Yl58fSCWJ5svSLuaibPxXQJFLmBObTuCr0Mf1KiPopGM9NiFjiYBCbfaa2Fh6breQ6ANVTI0A== +function-bind@^1.1.1, function-bind@^1.1.2: + version "1.1.2" + resolved "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz" + integrity sha512-7XHNxH7qX9xG5mIwxkhumTox/MIRNcOgDrxWsMt2pAr23WHp6MrRlN7FBSFpCpr+oVO0F744iUgR82nJMfG2SA== gensync@^1.0.0-beta.2: version "1.0.0-beta.2" resolved "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz" integrity sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg== -get-intrinsic@^1.0.2: - version "1.1.1" - resolved "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.1.1.tgz" - integrity sha512-kWZrnVM42QCiEA2Ig1bG8zjoIMOgxWwYCEeNdwY6Tv/cOSeGpcoX4pXHfKUxNKVoArnrEr2e9srnAxxGIraS9Q== +get-intrinsic@^1.0.2, get-intrinsic@^1.2.5, get-intrinsic@^1.3.0: + version "1.3.0" + resolved "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.3.0.tgz" + integrity sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ== + dependencies: + call-bind-apply-helpers "^1.0.2" + es-define-property "^1.0.1" + es-errors "^1.3.0" + es-object-atoms "^1.1.1" + function-bind "^1.1.2" + get-proto "^1.0.1" + gopd "^1.2.0" + has-symbols "^1.1.0" + hasown "^2.0.2" + math-intrinsics "^1.1.0" + +get-proto@^1.0.1: + version "1.0.1" + resolved "https://registry.npmjs.org/get-proto/-/get-proto-1.0.1.tgz" + integrity sha512-sTSfBjoXBp89JvIKIefqw7U2CCebsc74kiY6awiGogKtoSGbgjYE/G/+l9sF3MWFPNc9IcoOC4ODfKHfxFmp0g== dependencies: - function-bind "^1.1.1" - has "^1.0.3" - has-symbols "^1.0.1" + dunder-proto "^1.0.1" + es-object-atoms "^1.0.0" get-stream@^6.0.0: version "6.0.1" resolved "https://registry.npmjs.org/get-stream/-/get-stream-6.0.1.tgz" integrity sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg== -glob-parent@^5.1.2, glob-parent@~5.1.2: +glob-parent@~5.1.2: version "5.1.2" resolved "https://registry.npmjs.org/glob-parent/-/glob-parent-5.1.2.tgz" integrity sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow== dependencies: is-glob "^4.0.1" +glob-to-regex.js@^1.0.1: + version "1.2.0" + resolved "https://registry.npmjs.org/glob-to-regex.js/-/glob-to-regex.js-1.2.0.tgz" + integrity sha512-QMwlOQKU/IzqMUOAZWubUOT8Qft+Y0KQWnX9nK3ch0CJg0tTp4TvGZsTfudYKv2NzoQSyPcnA6TYeIQ3jGichQ== + glob-to-regexp@^0.4.1: version "0.4.1" resolved "https://registry.npmjs.org/glob-to-regexp/-/glob-to-regexp-0.4.1.tgz" integrity sha512-lkX1HJXwyMcprw/5YUZc2s7DrpAiHB21/V+E1rHUrVNokkvB6bqMzT0VfV6/86ZNabt1k14YOIaT7nDvOX3Iiw== -glob@^7.1.3: - version "7.2.0" - resolved "https://registry.npmjs.org/glob/-/glob-7.2.0.tgz" - integrity sha512-lmLf6gtyrPq8tTjSmrO94wBeQbFR3HbLHbuyD69wuyQkImp2hWqMGB47OX65FBkPffO641IP9jWa1z4ivqG26Q== - dependencies: - fs.realpath "^1.0.0" - inflight "^1.0.4" - inherits "2" - minimatch "^3.0.4" - once "^1.3.0" - path-is-absolute "^1.0.0" - globals@^11.1.0: version "11.12.0" resolved "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz" integrity sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA== -globby@^11.0.1: - version "11.0.4" - resolved "https://registry.npmjs.org/globby/-/globby-11.0.4.tgz" - integrity sha512-9O4MVG9ioZJ08ffbcyVYyLOJLk5JQ688pJ4eMGLpdWLHq/Wr1D9BlriLQyL0E+jbkuePVZXYFj47QM/v093wHg== - dependencies: - array-union "^2.1.0" - dir-glob "^3.0.1" - fast-glob "^3.1.1" - ignore "^5.1.4" - merge2 "^1.3.0" - slash "^3.0.0" - -graceful-fs@^4.1.2, graceful-fs@^4.2.4, graceful-fs@^4.2.6: - version "4.2.8" - resolved "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.8.tgz" - integrity sha512-qkIilPUYcNhJpd33n0GBXTB1MMPp14TxEsEs0pTrsSVucApsYzW5V+Q8Qxhik6KU3evy+qkAAowTByymK0avdg== +gopd@^1.2.0: + version "1.2.0" + resolved "https://registry.npmjs.org/gopd/-/gopd-1.2.0.tgz" + integrity sha512-ZUKRh6/kUFoAiTAtTYPZJ3hw9wNxx+BIBOijnlG9PnrJsCcSjs1wyyD6vJpaYtgnzDrKYRSqf3OO6Rfa93xsRg== -graceful-fs@^4.2.9: - version "4.2.9" - resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.2.9.tgz#041b05df45755e587a24942279b9d113146e1c96" - integrity sha512-NtNxqUcXgpW2iMrfqSfR73Glt39K+BLwWsPs94yR63v45T0Wbej7eRmL5cWfwEgqXnmjQp3zaJTshdRW/qC2ZQ== +graceful-fs@^4.1.2, graceful-fs@^4.2.11, graceful-fs@^4.2.4, graceful-fs@^4.2.6: + version "4.2.11" + resolved "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.11.tgz" + integrity sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ== handle-thing@^2.0.0: version "2.0.1" resolved "https://registry.npmjs.org/handle-thing/-/handle-thing-2.0.1.tgz" integrity sha512-9Qn4yBxelxoh2Ow62nP+Ka/kMnOXRi8BXnRaUwezLNhqelnN49xKz4F/dPP8OYLxLxq6JDtZb2i9XznUQbNPTg== -has-flag@^3.0.0: - version "3.0.0" - resolved "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz" - integrity sha1-tdRU3CGZriJWmfNGfloH87lVuv0= - has-flag@^4.0.0: version "4.0.0" resolved "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz" integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ== -has-symbols@^1.0.1, has-symbols@^1.0.2: - version "1.0.2" - resolved "https://registry.npmjs.org/has-symbols/-/has-symbols-1.0.2.tgz" - integrity sha512-chXa79rL/UC2KlX17jo3vRGz0azaWEx5tGqZg5pO3NUyEJVB17dMruQlzCCOfUvElghKcm5194+BCRvi2Rv/Gw== - -has-tostringtag@^1.0.0: - version "1.0.0" - resolved "https://registry.npmjs.org/has-tostringtag/-/has-tostringtag-1.0.0.tgz" - integrity sha512-kFjcSNhnlGV1kyoGk7OXKSawH5JOb/LzUc5w9B02hOTO0dfFRjbHQKvg1d6cf3HbeUmtU9VbbV3qzZ2Teh97WQ== - dependencies: - has-symbols "^1.0.2" +has-symbols@^1.0.1, has-symbols@^1.1.0: + version "1.1.0" + resolved "https://registry.npmjs.org/has-symbols/-/has-symbols-1.1.0.tgz" + integrity sha512-1cDNdwJ2Jaohmb3sg4OmKaMBwuC48sYni5HUw2DvsC8LjGTLK9h+eb1X6RyuOHe4hT0ULCW68iomhjUoKUqlPQ== has@^1.0.3: version "1.0.3" @@ -2754,58 +2513,60 @@ has@^1.0.3: dependencies: function-bind "^1.1.1" +hasown@^2.0.2: + version "2.0.2" + resolved "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz" + integrity sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ== + dependencies: + function-bind "^1.1.2" + hpack.js@^2.1.6: version "2.1.6" resolved "https://registry.npmjs.org/hpack.js/-/hpack.js-2.1.6.tgz" - integrity sha1-h3dMCUnlE/QuhFdbPEVoH63ioLI= + integrity sha1-h3dMCUnlE/QuhFdbPEVoH63ioLI= sha512-zJxVehUdMGIKsRaNt7apO2Gqp0BdqW5yaiGHXXmbpvxgBYVZnAql+BJb4RO5ad2MgpbZKn5G6nMnegrH1FcNYQ== dependencies: inherits "^2.0.1" obuf "^1.0.0" readable-stream "^2.0.1" wbuf "^1.1.0" -html-entities@^2.3.2: - version "2.3.2" - resolved "https://registry.npmjs.org/html-entities/-/html-entities-2.3.2.tgz" - integrity sha512-c3Ab/url5ksaT0WyleslpBEthOzWhrjQbg75y7XUsfSzi3Dgzt0l8w5e7DylRn15MTlMMD58dTfzddNS2kcAjQ== - http-deceiver@^1.2.7: version "1.2.7" resolved "https://registry.npmjs.org/http-deceiver/-/http-deceiver-1.2.7.tgz" - integrity sha1-+nFolEq5pRnTN8sL7HKE3D5yPYc= - -http-errors@1.7.2, http-errors@~1.7.2: - version "1.7.2" - resolved "https://registry.npmjs.org/http-errors/-/http-errors-1.7.2.tgz" - integrity sha512-uUQBt3H/cSIVfch6i1EuPNy/YsRSOUBXTVfZ+yR7Zjez3qjBz6i9+i4zjNaoqcoFVI4lQJ5plg63TvGfRSDCRg== - dependencies: - depd "~1.1.2" - inherits "2.0.3" - setprototypeof "1.1.1" - statuses ">= 1.5.0 < 2" - toidentifier "1.0.0" + integrity sha1-+nFolEq5pRnTN8sL7HKE3D5yPYc= sha512-LmpOGxTfbpgtGVxJrj5k7asXHCgNZp5nLfp+hWc8QQRqtb7fUy6kRY3BO1h9ddF6yIPYUARgxGOwB42DnxIaNw== http-errors@~1.6.2: version "1.6.3" resolved "https://registry.npmjs.org/http-errors/-/http-errors-1.6.3.tgz" - integrity sha1-i1VoC7S+KDoLW/TqLjhYC+HZMg0= + integrity sha1-i1VoC7S+KDoLW/TqLjhYC+HZMg0= sha512-lks+lVC8dgGyh97jxvxeYTWQFvh4uw4yC12gVl63Cg30sjPX4wuGcdkICVXDAESr6OJGjqGA8Iz5mkeN6zlD7A== dependencies: depd "~1.1.2" inherits "2.0.3" setprototypeof "1.1.0" statuses ">= 1.4.0 < 2" +http-errors@2.0.0: + version "2.0.0" + resolved "https://registry.npmjs.org/http-errors/-/http-errors-2.0.0.tgz" + integrity sha512-FtwrG/euBzaEjYeRqOgly7G0qviiXoJWnvEH2Z1plBdXgbyjv34pHTSb9zoeHMyDy33+DWy5Wt9Wo+TURtOYSQ== + dependencies: + depd "2.0.0" + inherits "2.0.4" + setprototypeof "1.2.0" + statuses "2.0.1" + toidentifier "1.0.1" + http-parser-js@>=0.5.1: version "0.5.5" resolved "https://registry.npmjs.org/http-parser-js/-/http-parser-js-0.5.5.tgz" integrity sha512-x+JVEkO2PoM8qqpbPbOL3cqHPwerep7OwzK7Ay+sMQjKzaKCqWvjoXm5tqMP9tXWWTnTzAjIhXg+J99XYuPhPA== -http-proxy-middleware@^2.0.0: - version "2.0.1" - resolved "https://registry.npmjs.org/http-proxy-middleware/-/http-proxy-middleware-2.0.1.tgz" - integrity sha512-cfaXRVoZxSed/BmkA7SwBVNI9Kj7HFltaE5rqYOub5kWzWZ+gofV2koVN1j2rMW7pEfSSlCHGJ31xmuyFyfLOg== +http-proxy-middleware@^2.0.9: + version "2.0.9" + resolved "https://registry.npmjs.org/http-proxy-middleware/-/http-proxy-middleware-2.0.9.tgz" + integrity sha512-c1IyJYLYppU574+YI7R4QyX2ystMtVXZwIdzazUIPIJsHuWNd+mho2j+bKoHftndicGj9yh+xjd+l0yj7VeT1Q== dependencies: - "@types/http-proxy" "^1.17.5" + "@types/http-proxy" "^1.17.8" http-proxy "^1.18.1" is-glob "^4.0.1" is-plain-obj "^3.0.0" @@ -2825,6 +2586,11 @@ human-signals@^2.1.0: resolved "https://registry.npmjs.org/human-signals/-/human-signals-2.1.0.tgz" integrity sha512-B4FFZ6q/T2jhhksgkbEW3HBvWIfDW85snkQgawt07S7J5QXTk6BkNV+0yAeZrM5QpMAdYlocGoljn0sJ/WQkFw== +hyperdyperid@^1.2.0: + version "1.2.0" + resolved "https://registry.npmjs.org/hyperdyperid/-/hyperdyperid-1.2.0.tgz" + integrity sha512-Y93lCzHYgGWdrJ66yIktxiaGULYc6oGiABxhcO5AufBeOyoIdZF7bIfLaOrbM0iGIOXQQgxxRrFEnb+Y6w1n4A== + iconv-lite@0.4.24: version "0.4.24" resolved "https://registry.npmjs.org/iconv-lite/-/iconv-lite-0.4.24.tgz" @@ -2837,11 +2603,6 @@ icss-utils@^5.0.0, icss-utils@^5.1.0: resolved "https://registry.npmjs.org/icss-utils/-/icss-utils-5.1.0.tgz" integrity sha512-soFhflCVWLfRNOPU3iv5Z9VUdT44xFRbzjLsEzSr5AQmgqPMTHdU3PMT1Cf1ssx8fLNJDA1juftYl+PUcv3MqA== -ignore@^5.1.4: - version "5.1.9" - resolved "https://registry.npmjs.org/ignore/-/ignore-5.1.9.tgz" - integrity sha512-2zeMQpbKz5dhZ9IwL0gbxSW5w0NK/MSAMtNuhgIHEPmaU3vPdKPL0UdvUCXs5SS4JAwsBxysK5sFMW8ocFiVjQ== - import-fresh@^3.2.1: version "3.3.0" resolved "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.0.tgz" @@ -2858,61 +2619,40 @@ import-local@^3.0.2: pkg-dir "^4.2.0" resolve-cwd "^3.0.0" -indent-string@^4.0.0: - version "4.0.0" - resolved "https://registry.npmjs.org/indent-string/-/indent-string-4.0.0.tgz" - integrity sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg== - -inflight@^1.0.4: - version "1.0.6" - resolved "https://registry.npmjs.org/inflight/-/inflight-1.0.6.tgz" - integrity sha1-Sb1jMdfQLQwJvJEKEHW6gWW1bfk= - dependencies: - once "^1.3.0" - wrappy "1" +inherits@^2.0.1, inherits@^2.0.3, inherits@~2.0.3, inherits@2.0.4: + version "2.0.4" + resolved "https://registry.npmjs.org/inherits/-/inherits-2.0.4.tgz" + integrity sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ== -inherits@2, inherits@2.0.3, inherits@^2.0.1, inherits@^2.0.3, inherits@~2.0.3: +inherits@2.0.3: version "2.0.3" resolved "https://registry.npmjs.org/inherits/-/inherits-2.0.3.tgz" - integrity sha1-Yzwsg+PaQqUC9SRmAiSA9CCCYd4= + integrity sha1-Yzwsg+PaQqUC9SRmAiSA9CCCYd4= sha512-x00IRNXNy63jwGkJmzPigoySHbaqpNuzKbBOmzK+g2OdZpQ9w+sxCN+VSB3ja7IAge2OP2qpfxTjeNcyjmW1uw== interpret@^2.2.0: version "2.2.0" resolved "https://registry.npmjs.org/interpret/-/interpret-2.2.0.tgz" integrity sha512-Ju0Bz/cEia55xDwUWEa8+olFpCiQoypjnQySseKtmjNrnps3P+xfpUmGr90T7yjlVJmOtybRvPXhKMbHr+fWnw== -ip@^1.1.0: - version "1.1.5" - resolved "https://registry.npmjs.org/ip/-/ip-1.1.5.tgz" - integrity sha1-vd7XARQpCCjAoDnnLvJfWq7ENUo= +ipaddr.js@^2.1.0: + version "2.2.0" + resolved "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.2.0.tgz" + integrity sha512-Ag3wB2o37wslZS19hZqorUnrnzSkpOVy+IiiDEiTqNubEYpYuHWIf6K4psgN2ZWKExS4xhVCrRVfb/wfW8fWJA== ipaddr.js@1.9.1: version "1.9.1" resolved "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-1.9.1.tgz" integrity sha512-0KI/607xoxSToH7GjN1FfSbLoU0+btTicjsQSWQlh/hZykN8KpmMf7uYwPW3R+akZ6R/w18ZlXSHBYXiYUPO3g== -ipaddr.js@^2.0.1: - version "2.0.1" - resolved "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.0.1.tgz" - integrity sha512-1qTgH9NG+IIJ4yfKs2e6Pp1bZg8wbDbKHT21HrLIeYBTRLgMYKnMTPAuI3Lcs61nfx5h1xlXnbJtH1kX5/d/ng== - is-absolute-url@^3.0.3: version "3.0.3" resolved "https://registry.npmjs.org/is-absolute-url/-/is-absolute-url-3.0.3.tgz" integrity sha512-opmNIX7uFnS96NtPmhWQgQx6/NYFgsUXYMllcfzwWKUMwfo8kku1TvE6hkNcH+Q1ts5cMVrsY7j0bxXQDciu9Q== -is-arguments@^1.0.4: - version "1.1.1" - resolved "https://registry.npmjs.org/is-arguments/-/is-arguments-1.1.1.tgz" - integrity sha512-8Q7EARjzEnKpt/PCD7e1cgUS0a6X8u5tdSiMqXhojOdoV9TsMsiO+9VLC5vAmO8N7/GmXn7yjR8qnA6bVAEzfA== - dependencies: - call-bind "^1.0.2" - has-tostringtag "^1.0.0" - is-arrayish@^0.2.1: version "0.2.1" resolved "https://registry.npmjs.org/is-arrayish/-/is-arrayish-0.2.1.tgz" - integrity sha1-d8mYQFJ6qOyxqLppe4BkWnqSap0= + integrity sha1-d8mYQFJ6qOyxqLppe4BkWnqSap0= sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg== is-binary-path@~2.1.0: version "2.1.0" @@ -2928,22 +2668,15 @@ is-core-module@^2.2.0: dependencies: has "^1.0.3" -is-date-object@^1.0.1: - version "1.0.5" - resolved "https://registry.npmjs.org/is-date-object/-/is-date-object-1.0.5.tgz" - integrity sha512-9YQaSxsAiSwcvS33MBk3wTCVnWK+HhF8VZR2jRxehM16QcVOdHqPn4VPHmRK4lSr38n9JriurInLcP90xsYNfQ== - dependencies: - has-tostringtag "^1.0.0" - -is-docker@^2.0.0, is-docker@^2.1.1: - version "2.2.1" - resolved "https://registry.npmjs.org/is-docker/-/is-docker-2.2.1.tgz" - integrity sha512-F+i2BKsFrH66iaUFc0woD8sLy8getkwTwtOBjvs56Cx4CgJDeKQeqfz8wAYiSb8JOprWhHH5p77PbmYCvvUuXQ== +is-docker@^3.0.0: + version "3.0.0" + resolved "https://registry.npmjs.org/is-docker/-/is-docker-3.0.0.tgz" + integrity sha512-eljcgEDlEns/7AXFosB5K/2nCM4P7FQPkGc/DWLy5rmFEWvZayGrik1d9/QIY5nJ4f9YsVvBkA6kJpHn9rISdQ== is-extglob@^2.1.1: version "2.1.1" resolved "https://registry.npmjs.org/is-extglob/-/is-extglob-2.1.1.tgz" - integrity sha1-qIwCU1eR8C7TfHahueqXc8gz+MI= + integrity sha1-qIwCU1eR8C7TfHahueqXc8gz+MI= sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ== is-glob@^4.0.1, is-glob@~4.0.1: version "4.0.3" @@ -2952,21 +2685,23 @@ is-glob@^4.0.1, is-glob@~4.0.1: dependencies: is-extglob "^2.1.1" +is-inside-container@^1.0.0: + version "1.0.0" + resolved "https://registry.npmjs.org/is-inside-container/-/is-inside-container-1.0.0.tgz" + integrity sha512-KIYLCCJghfHZxqjYBE7rEy0OBuTd5xCHS7tHVgvCLkx7StIoaxwNW3hCALgEUjFfeRk+MG/Qxmp/vtETEF3tRA== + dependencies: + is-docker "^3.0.0" + +is-network-error@^1.0.0: + version "1.3.0" + resolved "https://registry.npmjs.org/is-network-error/-/is-network-error-1.3.0.tgz" + integrity sha512-6oIwpsgRfnDiyEDLMay/GqCl3HoAtH5+RUKW29gYkL0QA+ipzpDLA16yQs7/RHCSu+BwgbJaOUqa4A99qNVQVw== + is-number@^7.0.0: version "7.0.0" resolved "https://registry.npmjs.org/is-number/-/is-number-7.0.0.tgz" integrity sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng== -is-path-cwd@^2.2.0: - version "2.2.0" - resolved "https://registry.npmjs.org/is-path-cwd/-/is-path-cwd-2.2.0.tgz" - integrity sha512-w942bTcih8fdJPJmQHFzkS76NEP8Kzzvmw92cXsazb8intwLqPibPPdXf4ANdKV3rYMuuQYGIWtvz9JilB3NFQ== - -is-path-inside@^3.0.2: - version "3.0.3" - resolved "https://registry.npmjs.org/is-path-inside/-/is-path-inside-3.0.3.tgz" - integrity sha512-Fd4gABb+ycGAmKou8eMftCupSir5lRxqf4aD/vd0cD2qc4HL07OjCeuHMr8Ro4CoMaeCKDB0/ECBOVWjTwUvPQ== - is-plain-obj@^3.0.0: version "3.0.0" resolved "https://registry.npmjs.org/is-plain-obj/-/is-plain-obj-3.0.0.tgz" @@ -2979,14 +2714,6 @@ is-plain-object@^2.0.4: dependencies: isobject "^3.0.1" -is-regex@^1.0.4: - version "1.1.4" - resolved "https://registry.npmjs.org/is-regex/-/is-regex-1.1.4.tgz" - integrity sha512-kvRdxDsxZjhzUX07ZnLydzS1TU/TJlTUHHY4YLL87e37oUA49DfkLqgy+VjFocowy29cKvcSiu+kIv728jTTVg== - dependencies: - call-bind "^1.0.2" - has-tostringtag "^1.0.0" - is-resolvable@^1.1.0: version "1.1.0" resolved "https://registry.npmjs.org/is-resolvable/-/is-resolvable-1.1.0.tgz" @@ -2997,40 +2724,31 @@ is-stream@^2.0.0: resolved "https://registry.npmjs.org/is-stream/-/is-stream-2.0.1.tgz" integrity sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg== -is-wsl@^2.2.0: - version "2.2.0" - resolved "https://registry.npmjs.org/is-wsl/-/is-wsl-2.2.0.tgz" - integrity sha512-fKzAra0rGJUUBwGBgNkHZuToZcn+TtXHpeCgmkMJMMYx1sQDYaCSyjJBSCa2nH1DGm7s3n1oBnohoVTBaN7Lww== +is-wsl@^3.1.0: + version "3.1.0" + resolved "https://registry.npmjs.org/is-wsl/-/is-wsl-3.1.0.tgz" + integrity sha512-UcVfVfaK4Sc4m7X3dUSoHoozQGBEFeDC+zVo06t98xe8CzHSZZBekNXH+tu0NalHolcJ/QAGqS46Hef7QXBIMw== dependencies: - is-docker "^2.0.0" + is-inside-container "^1.0.0" isarray@~1.0.0: version "1.0.0" resolved "https://registry.npmjs.org/isarray/-/isarray-1.0.0.tgz" - integrity sha1-u5NdSFgsuhaMBoNJV6VKPgcSTxE= + integrity sha1-u5NdSFgsuhaMBoNJV6VKPgcSTxE= sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ== isexe@^2.0.0: version "2.0.0" resolved "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz" - integrity sha1-6PvzdNxVb/iUehDcsFctYz8s+hA= + integrity sha1-6PvzdNxVb/iUehDcsFctYz8s+hA= sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw== isobject@^3.0.1: version "3.0.1" resolved "https://registry.npmjs.org/isobject/-/isobject-3.0.1.tgz" - integrity sha1-TkMekrEalzFjaqH5yNHMvP2reN8= + integrity sha1-TkMekrEalzFjaqH5yNHMvP2reN8= sha512-WhB9zCku7EGTj/HQQRz5aUQEUeoQZH2bWcltRErOpymJ4boYE6wL9Tbr23krRPSZ+C5zqNSrSw+Cc7sZZ4b7vg== -jest-worker@^27.0.2, jest-worker@^27.0.6: - version "27.4.4" - resolved "https://registry.npmjs.org/jest-worker/-/jest-worker-27.4.4.tgz" - integrity sha512-jfwxYJvfua1b1XkyuyPh01ATmgg4e5fPM/muLmhy9Qc6dmiwacQB0MLHaU6IjEsv/+nAixHGxTn8WllA27Pn0w== - dependencies: - "@types/node" "*" - merge-stream "^2.0.0" - supports-color "^8.0.0" - -jest-worker@^27.4.5: +jest-worker@^27.0.2, jest-worker@^27.4.5: version "27.5.1" - resolved "https://registry.yarnpkg.com/jest-worker/-/jest-worker-27.5.1.tgz#8d146f0900e8973b106b6f73cc1e9a8cb86f8db0" + resolved "https://registry.npmjs.org/jest-worker/-/jest-worker-27.5.1.tgz" integrity sha512-7vuh85V5cdDofPyxn58nrPjBktZo0u9x1g8WtjQol+jZDaE+fhN+cIvTj11GndBnMnyfrUOG1sZQxCdjKh+DKg== dependencies: "@types/node" "*" @@ -3042,22 +2760,17 @@ jest-worker@^27.4.5: resolved "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz" integrity sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ== -jsesc@^2.5.1: - version "2.5.2" - resolved "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz" - integrity sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA== +jsesc@^3.0.2: + version "3.1.0" + resolved "https://registry.npmjs.org/jsesc/-/jsesc-3.1.0.tgz" + integrity sha512-/sM3dO2FOzXjKQhJuo0Q173wf2KOo8t4I8vHy6lF9poUp7bKT0/NHE8fPX23PwfhnykfqnC2xRxOnVw5XuGIaA== jsesc@~0.5.0: version "0.5.0" resolved "https://registry.npmjs.org/jsesc/-/jsesc-0.5.0.tgz" - integrity sha1-597mbjXW/Bb3EP6R1c9p9w8IkR0= - -json-parse-better-errors@^1.0.2: - version "1.0.2" - resolved "https://registry.npmjs.org/json-parse-better-errors/-/json-parse-better-errors-1.0.2.tgz" - integrity sha512-mrqyZKfX5EhL7hvqcV6WG1yYjnjeuYDzDhhcAAUrq8Po85NBQBJP+ZDUT75qZQ98IkUoBqdkExkukOU7Ts2wrw== + integrity sha1-597mbjXW/Bb3EP6R1c9p9w8IkR0= sha512-uZz5UnB7u4T9LvwmFqXii7pZSouaRPorGs5who1Ip7VO0wxanFvBL7GkM6dTHlgX+jhBApRetaWpnDabOeTcnA== -json-parse-even-better-errors@^2.3.0: +json-parse-even-better-errors@^2.3.0, json-parse-even-better-errors@^2.3.1: version "2.3.1" resolved "https://registry.npmjs.org/json-parse-even-better-errors/-/json-parse-even-better-errors-2.3.1.tgz" integrity sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w== @@ -3073,11 +2786,9 @@ json-schema-traverse@^1.0.0: integrity sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug== json5@^2.1.2: - version "2.2.0" - resolved "https://registry.npmjs.org/json5/-/json5-2.2.0.tgz" - integrity sha512-f+8cldu7X/y7RAJurMEJmdoKXGB/X550w2Nr3tTbezL6RwEE/iMcm+tZnXeoZtKuOq6ft8+CqzEkrIgx1fPoQA== - dependencies: - minimist "^1.2.5" + version "2.2.3" + resolved "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz" + integrity sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg== kind-of@^6.0.2: version "6.0.3" @@ -3089,6 +2800,14 @@ klona@^2.0.5: resolved "https://registry.npmjs.org/klona/-/klona-2.0.5.tgz" integrity sha512-pJiBpiXMbt7dkzXe8Ghj/u4FfXOOa98fPW+bihOJ4SjnoijweJrNThJfd3ifXpXhREjpoF2mZVH1GfS9LV3kHQ== +launch-editor@^2.6.1: + version "2.11.1" + resolved "https://registry.npmjs.org/launch-editor/-/launch-editor-2.11.1.tgz" + integrity sha512-SEET7oNfgSaB6Ym0jufAdCeo3meJVeCaaDyzRygy0xsp2BFKCprcfHljTq4QkzTLUxEKkFK6OK4811YM2oSrRg== + dependencies: + picocolors "^1.1.1" + shell-quote "^1.8.3" + lilconfig@^2.0.3: version "2.0.4" resolved "https://registry.npmjs.org/lilconfig/-/lilconfig-2.0.4.tgz" @@ -3105,9 +2824,9 @@ loader-runner@^4.2.0: integrity sha512-92+huvxMvYlMzMt0iIOukcwYBFpkYJdpl2xsZ7LrlayO7E8SOv+JJUEK17B/dJIHAOLMfh2dZZ/Y18WgmGtYNw== loader-utils@^2.0.0: - version "2.0.2" - resolved "https://registry.yarnpkg.com/loader-utils/-/loader-utils-2.0.2.tgz#d6e3b4fb81870721ae4e0868ab11dd638368c129" - integrity sha512-TM57VeHptv569d/GKh6TAYdzKblwDNiumOdkFnejjD0XwTH87K90w3O7AiJRqdQoXygvi1VQTJTLGhJl7WqA7A== + version "2.0.4" + resolved "https://registry.npmjs.org/loader-utils/-/loader-utils-2.0.4.tgz" + integrity sha512-xXqpXoINfFhgua9xiqD8fPFHgkoq1mmmpE92WlDbm9rNRd/EbRb+Gqf908T2DMfuHjjJlksiK2RbHVOdD/MqSw== dependencies: big.js "^5.2.2" emojis-list "^3.0.0" @@ -3123,22 +2842,17 @@ locate-path@^5.0.0: lodash.debounce@^4.0.8: version "4.0.8" resolved "https://registry.npmjs.org/lodash.debounce/-/lodash.debounce-4.0.8.tgz" - integrity sha1-gteb/zCmfEAF/9XiUVMArZyk168= + integrity sha1-gteb/zCmfEAF/9XiUVMArZyk168= sha512-FT1yDzDYEoYWhnSGnpE/4Kj1fLZkDFyqRb7fNt6FdYOSxlUWAtp42Eh6Wb0rGIv/m9Bgo7x4GhQbm5Ys4SG5ow== lodash.memoize@^4.1.2: version "4.1.2" resolved "https://registry.npmjs.org/lodash.memoize/-/lodash.memoize-4.1.2.tgz" - integrity sha1-vMbEmkKihA7Zl/Mj6tpezRguC/4= + integrity sha1-vMbEmkKihA7Zl/Mj6tpezRguC/4= sha512-t7j+NzmgnQzTAYXcsHYLgimltOV1MXHtlOWf6GjL9Kj8GK5FInw5JotxvbOs+IvV1/Dzo04/fCGfLVs7aXb4Ag== lodash.uniq@^4.5.0: version "4.5.0" resolved "https://registry.npmjs.org/lodash.uniq/-/lodash.uniq-4.5.0.tgz" - integrity sha1-0CJTc662Uq3BvILklFM5qEJ1R3M= - -lodash@^4.17.14: - version "4.17.21" - resolved "https://registry.npmjs.org/lodash/-/lodash-4.17.21.tgz" - integrity sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg== + integrity sha1-0CJTc662Uq3BvILklFM5qEJ1R3M= sha512-xfBaXQd9ryd9dlSDvnvI0lvxfLJlYAZzXomUYzLKtUeOQvOP5piqAWuGtrhWeqaXK9hhoM/iyJc5AV+XfsX3HQ== loose-envify@^1.1.0, loose-envify@^1.4.0: version "1.4.0" @@ -3147,13 +2861,6 @@ loose-envify@^1.1.0, loose-envify@^1.4.0: dependencies: js-tokens "^3.0.0 || ^4.0.0" -lru-cache@^6.0.0: - version "6.0.0" - resolved "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz" - integrity sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA== - dependencies: - yallist "^4.0.0" - make-dir@^3.0.2, make-dir@^3.1.0: version "3.1.0" resolved "https://registry.npmjs.org/make-dir/-/make-dir-3.1.0.tgz" @@ -3161,6 +2868,11 @@ make-dir@^3.0.2, make-dir@^3.1.0: dependencies: semver "^6.0.0" +math-intrinsics@^1.1.0: + version "1.1.0" + resolved "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz" + integrity sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g== + mdn-data@2.0.14: version "2.0.14" resolved "https://registry.npmjs.org/mdn-data/-/mdn-data-2.0.14.tgz" @@ -3169,55 +2881,67 @@ mdn-data@2.0.14: media-typer@0.3.0: version "0.3.0" resolved "https://registry.npmjs.org/media-typer/-/media-typer-0.3.0.tgz" - integrity sha1-hxDXrwqmJvj/+hzgAWhUUmMlV0g= + integrity sha1-hxDXrwqmJvj/+hzgAWhUUmMlV0g= sha512-dq+qelQ9akHpcOl/gUVRTxVIOkAJ1wR3QAvb4RsVjS8oVoFjDGTc679wJYmUmknUF5HwMLOgb5O+a3KxfWapPQ== -memfs@^3.4.1: - version "3.4.1" - resolved "https://registry.yarnpkg.com/memfs/-/memfs-3.4.1.tgz#b78092f466a0dce054d63d39275b24c71d3f1305" - integrity sha512-1c9VPVvW5P7I85c35zAdEr1TD5+F11IToIHIlrVIcflfnzPkJa0ZoYEoEdYDP8KgPFoSZ/opDrUsAoZWym3mtw== +memfs@^4.43.1: + version "4.49.0" + resolved "https://registry.npmjs.org/memfs/-/memfs-4.49.0.tgz" + integrity sha512-L9uC9vGuc4xFybbdOpRLoOAOq1YEBBsocCs5NVW32DfU+CZWWIn3OVF+lB8Gp4ttBVSMazwrTrjv8ussX/e3VQ== dependencies: - fs-monkey "1.0.3" + "@jsonjoy.com/json-pack" "^1.11.0" + "@jsonjoy.com/util" "^1.9.0" + glob-to-regex.js "^1.0.1" + thingies "^2.5.0" + tree-dump "^1.0.3" + tslib "^2.0.0" -merge-descriptors@1.0.1: - version "1.0.1" - resolved "https://registry.npmjs.org/merge-descriptors/-/merge-descriptors-1.0.1.tgz" - integrity sha1-sAqqVW3YtEVoFQ7J0blT8/kMu2E= +merge-descriptors@1.0.3: + version "1.0.3" + resolved "https://registry.npmjs.org/merge-descriptors/-/merge-descriptors-1.0.3.tgz" + integrity sha512-gaNvAS7TZ897/rVaZ0nMtAyxNyi/pdbjbAwUpFQpN70GqnVfOiXpeUUMKRBmzXaSQ8DdTX4/0ms62r2K+hE6mQ== merge-stream@^2.0.0: version "2.0.0" resolved "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz" integrity sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w== -merge2@^1.3.0: - version "1.4.1" - resolved "https://registry.npmjs.org/merge2/-/merge2-1.4.1.tgz" - integrity sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg== - methods@~1.1.2: version "1.1.2" resolved "https://registry.npmjs.org/methods/-/methods-1.1.2.tgz" - integrity sha1-VSmk1nZUE07cxSZmVoNbD4Ua/O4= + integrity sha1-VSmk1nZUE07cxSZmVoNbD4Ua/O4= sha512-iclAHeNqNm68zFtnZ0e+1L2yUIdvzNoauKU4WBA3VvH/vPFieF7qfRlwUZU+DA9P9bPXIS90ulxoUoCH23sV2w== -micromatch@^4.0.2, micromatch@^4.0.4: - version "4.0.4" - resolved "https://registry.npmjs.org/micromatch/-/micromatch-4.0.4.tgz" - integrity sha512-pRmzw/XUcwXGpD9aI9q/0XOwLNygjETJ8y0ao0wdqprrzDa4YnxLcz7fQRZr8voh8V10kGhABbNcHVk5wHgWwg== +micromatch@^4.0.2: + version "4.0.8" + resolved "https://registry.npmjs.org/micromatch/-/micromatch-4.0.8.tgz" + integrity sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA== dependencies: - braces "^3.0.1" - picomatch "^2.2.3" + braces "^3.0.3" + picomatch "^2.3.1" + +mime-db@^1.54.0: + version "1.54.0" + resolved "https://registry.npmjs.org/mime-db/-/mime-db-1.54.0.tgz" + integrity sha512-aU5EJuIN2WDemCcAp2vFBfp/m4EAhWJnUNSSw0ixs7/kXbd6Pg64EmwJkNdFhB8aWt1sH2CTXrLxo/iAGV3oPQ== -mime-db@1.51.0, "mime-db@>= 1.43.0 < 2": +"mime-db@>= 1.43.0 < 2", mime-db@1.51.0: version "1.51.0" resolved "https://registry.npmjs.org/mime-db/-/mime-db-1.51.0.tgz" integrity sha512-5y8A56jg7XVQx2mbv1lu49NR4dokRnhZYTtL+KGfaa27uq4pSTXkwQkFJl4pkRMyNFz/EtYDSkiiEHx3F7UN6g== -mime-types@^2.1.27, mime-types@^2.1.31, mime-types@~2.1.17, mime-types@~2.1.24: +mime-types@^2.1.27, mime-types@~2.1.17, mime-types@~2.1.24, mime-types@~2.1.34: version "2.1.34" resolved "https://registry.npmjs.org/mime-types/-/mime-types-2.1.34.tgz" integrity sha512-6cP692WwGIs9XXdOO4++N+7qjqv0rqxxVvJ3VHPh/Sc9mVZcQP+ZGhkKiTvWMQRr2tbHkJP/Yn7Y0npb3ZBs4A== dependencies: mime-db "1.51.0" +mime-types@^3.0.1: + version "3.0.1" + resolved "https://registry.npmjs.org/mime-types/-/mime-types-3.0.1.tgz" + integrity sha512-xRc4oEhT6eaBpU1XF7AjpOFD+xQmXNB5OVKwp4tqCuBpHLS/ZbBDrc07mYTDqVMg6PfxUjjNp85O6Cd2Z/5HWA== + dependencies: + mime-db "^1.54.0" + mime@1.6.0: version "1.6.0" resolved "https://registry.npmjs.org/mime/-/mime-1.6.0.tgz" @@ -3230,7 +2954,7 @@ mimic-fn@^2.1.0: mini-css-extract-plugin@^2.6.0: version "2.6.0" - resolved "https://registry.yarnpkg.com/mini-css-extract-plugin/-/mini-css-extract-plugin-2.6.0.tgz#578aebc7fc14d32c0ad304c2c34f08af44673f5e" + resolved "https://registry.npmjs.org/mini-css-extract-plugin/-/mini-css-extract-plugin-2.6.0.tgz" integrity sha512-ndG8nxCEnAemsg4FSgS+yNyHKgkTB4nPKqCOgh65j3/30qqC5RaSQQXMm++Y6sb6E1zRSxPkztj9fqxhS1Eo6w== dependencies: schema-utils "^4.0.0" @@ -3240,87 +2964,58 @@ minimalistic-assert@^1.0.0: resolved "https://registry.npmjs.org/minimalistic-assert/-/minimalistic-assert-1.0.1.tgz" integrity sha512-UtJcAD4yEaGtjPezWuO9wC4nwUnVH/8/Im3yEHQP4b67cXlD/Qr9hdITCU1xDbSEXg2XKNaP8jsReV7vQd00/A== -minimatch@^3.0.4: - version "3.0.4" - resolved "https://registry.npmjs.org/minimatch/-/minimatch-3.0.4.tgz" - integrity sha512-yJHVQEhyqPLUTgt9B83PXu6W3rx4MvvHvSUvToogpwoGDOUQ+yDrR0HRot+yOCdCO7u4hX3pWft6kWBBcqh0UA== - dependencies: - brace-expansion "^1.1.7" - -minimist@^1.2.5: - version "1.2.5" - resolved "https://registry.npmjs.org/minimist/-/minimist-1.2.5.tgz" - integrity sha512-FM9nNUYrRBAELZQT3xeZQ7fmMOBg6nWNmJKTcgsJeaLstP/UODVpGsr5OhXhhXg6f+qtJ8uiZ+PUxkDWcgIXLw== - -mkdirp@^0.5.5: - version "0.5.5" - resolved "https://registry.npmjs.org/mkdirp/-/mkdirp-0.5.5.tgz" - integrity sha512-NKmAlESf6jMGym1++R0Ra7wvhV+wFW63FaSOFPwRahvea0gMUcGUhVeAg/0BC0wiv9ih5NYPB1Wn1UEI1/L+xQ== - dependencies: - minimist "^1.2.5" - ms@2.0.0: version "2.0.0" resolved "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz" - integrity sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= - -ms@2.1.1: - version "2.1.1" - resolved "https://registry.npmjs.org/ms/-/ms-2.1.1.tgz" - integrity sha512-tgp+dl5cGk28utYktBsrFqA7HKgrhgPsg6Z/EfhWI4gl1Hwq8B/GmY/0oXZ6nF8hDVesS/FpnYaD/kOWhYQvyg== + integrity sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g= sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A== -ms@2.1.2, ms@^2.1.1: +ms@2.1.2: version "2.1.2" resolved "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz" integrity sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w== -multicast-dns-service-types@^1.1.0: - version "1.1.0" - resolved "https://registry.npmjs.org/multicast-dns-service-types/-/multicast-dns-service-types-1.1.0.tgz" - integrity sha1-iZ8R2WhuXgXLkbNdXw5jt3PPyQE= +ms@2.1.3: + version "2.1.3" + resolved "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz" + integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA== -multicast-dns@^6.0.1: - version "6.2.3" - resolved "https://registry.npmjs.org/multicast-dns/-/multicast-dns-6.2.3.tgz" - integrity sha512-ji6J5enbMyGRHIAkAOu3WdV8nggqviKCEKtXcOqfphZZtQrmHKycfynJ2V7eVPUA4NhJ6V7Wf4TmGbTwKE9B6g== +multicast-dns@^7.2.5: + version "7.2.5" + resolved "https://registry.npmjs.org/multicast-dns/-/multicast-dns-7.2.5.tgz" + integrity sha512-2eznPJP8z2BFLX50tf0LuODrpINqP1RVIm/CObbTcBRITQgmC/TjcREF1NeTBzIcR5XO/ukWo+YHOjBbFwIupg== dependencies: - dns-packet "^1.3.1" + dns-packet "^5.2.2" thunky "^1.0.2" -nanoid@^3.1.30: - version "3.2.0" - resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.2.0.tgz" - integrity sha512-fmsZYa9lpn69Ad5eDn7FMcnnSR+8R34W9qJEijxYhTbfOWzr22n1QxCMzXLK+ODyW2973V3Fux959iQoUxzUIA== +nanoid@^3.3.11: + version "3.3.11" + resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.3.11.tgz" + integrity sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w== -nanoid@^3.3.1: - version "3.3.2" - resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.2.tgz#c89622fafb4381cd221421c69ec58547a1eec557" - integrity sha512-CuHBogktKwpm5g2sRgv83jEy2ijFzBwMoYA60orPDR7ynsLijJDqgsi4RDGj3OJpy3Ieb+LYwiRmIOGyytgITA== +negotiator@~0.6.4: + version "0.6.4" + resolved "https://registry.npmjs.org/negotiator/-/negotiator-0.6.4.tgz" + integrity sha512-myRT3DiWPHqho5PrJaIRyaMv2kgYf0mUVgBNOYMuCH5Ki1yEiQaf/ZJuQ62nvpc44wL5WDbTX7yGJi1Neevw8w== -negotiator@0.6.2: - version "0.6.2" - resolved "https://registry.npmjs.org/negotiator/-/negotiator-0.6.2.tgz" - integrity sha512-hZXc7K2e+PgeI1eDBe/10Ard4ekbfrrqG8Ep+8Jmf4JID2bNg7NvCPOZN+kfF574pFQI7mum2AUqDidoKqcTOw== +negotiator@0.6.3: + version "0.6.3" + resolved "https://registry.npmjs.org/negotiator/-/negotiator-0.6.3.tgz" + integrity sha512-+EUsqGPLsM+j/zdChZjsnX51g4XrHFOIXwfnCVPGlQk/k5giakcKsuxCObBRu6DSm9opw/O6slWbJdghQM4bBg== neo-async@^2.6.2: version "2.6.2" resolved "https://registry.npmjs.org/neo-async/-/neo-async-2.6.2.tgz" integrity sha512-Yd3UES5mWCSqR+qNT93S3UoYUkqAZ9lLg8a7g9rimsWmYGK8cVToA4/sF3RrshdyV3sAGMXVUmpMYOw+dLpOuw== -node-forge@^1.2.0: - version "1.2.1" - resolved "https://registry.npmjs.org/node-forge/-/node-forge-1.2.1.tgz" - integrity sha512-Fcvtbb+zBcZXbTTVwqGA5W+MKBj56UjVRevvchv5XrcyXbmNdesfZL37nlcWOfpgHhgmxApw3tQbTr4CqNmX4w== - -node-releases@^2.0.1: - version "2.0.1" - resolved "https://registry.npmjs.org/node-releases/-/node-releases-2.0.1.tgz" - integrity sha512-CqyzN6z7Q6aMeF/ktcMVTzhAHCEpf8SOarwpzpf8pNBY2k5/oM34UHldUwp8VKI7uxct2HxSRdJjBaZeESzcxA== +node-forge@^1: + version "1.3.1" + resolved "https://registry.npmjs.org/node-forge/-/node-forge-1.3.1.tgz" + integrity sha512-dPEtOeMvF9VMcYV/1Wb8CPoVAXtp6MKMlcbAt4ddqmGqUJ6fQZFXkNZNkNlfevtNkGtaSoXf/vNNNSvgrdXwtA== -node-releases@^2.0.2: - version "2.0.2" - resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-2.0.2.tgz#7139fe71e2f4f11b47d4d2986aaf8c48699e0c01" - integrity sha512-XxYDdcQ6eKqp/YjI+tb2C5WM2LgjnZrfYg4vgQt49EK268b6gYCHsBLrK2qvJo4FmCtqmKezb0WZFK4fkrZNsg== +node-releases@^2.0.21: + version "2.0.25" + resolved "https://registry.npmjs.org/node-releases/-/node-releases-2.0.25.tgz" + integrity sha512-4auku8B/vw5psvTiiN9j1dAOsXvMoGqJuKJcR+dTdqiXEK20mMTk1UEo3HS16LeGQsVG6+qKTPM9u/qQ2LqATA== normalize-path@^3.0.0, normalize-path@~3.0.0: version "3.0.0" @@ -3330,7 +3025,7 @@ normalize-path@^3.0.0, normalize-path@~3.0.0: normalize-range@^0.1.2: version "0.1.2" resolved "https://registry.npmjs.org/normalize-range/-/normalize-range-0.1.2.tgz" - integrity sha1-LRDAa9/TEuqXd2laTShDlFa3WUI= + integrity sha1-LRDAa9/TEuqXd2laTShDlFa3WUI= sha512-bdok/XvKII3nUpklnV6P2hxtMNrCboOjAcyBuQnWEhO665FwrSNRxU+AqpsyvO6LgGYPspN+lu5CLtw4jPRKNA== normalize-url@^6.0.1: version "6.1.0" @@ -3354,15 +3049,12 @@ nth-check@^2.0.0: object-assign@^4.1.1: version "4.1.1" resolved "https://registry.npmjs.org/object-assign/-/object-assign-4.1.1.tgz" - integrity sha1-IQmtx5ZYh8/AXLvUQsrIv7s2CGM= + integrity sha1-IQmtx5ZYh8/AXLvUQsrIv7s2CGM= sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg== -object-is@^1.0.1: - version "1.1.5" - resolved "https://registry.npmjs.org/object-is/-/object-is-1.1.5.tgz" - integrity sha512-3cyDsyHgtmi7I7DfSSI2LDp6SK2lwvtbg0p0R1e0RvTqF5ceGx+K2dfSjm1bKDMVCFEDAQvy+o8c6a7VujOddw== - dependencies: - call-bind "^1.0.2" - define-properties "^1.1.3" +object-inspect@^1.13.3: + version "1.13.4" + resolved "https://registry.npmjs.org/object-inspect/-/object-inspect-1.13.4.tgz" + integrity sha512-W67iLl4J2EXEGTbfeHCffrjDfitvLANg0UlX3wFUUSTx92KXRFegMHUVgSqE+wvhAbi4WqjGg9czysTV2Epbew== object-keys@^1.0.12, object-keys@^1.1.1: version "1.1.1" @@ -3384,24 +3076,17 @@ obuf@^1.0.0, obuf@^1.1.2: resolved "https://registry.npmjs.org/obuf/-/obuf-1.1.2.tgz" integrity sha512-PX1wu0AmAdPqOL1mWhqmlOd8kOIZQwGZw6rh7uby9fTc5lhaOWFLX3I6R1hrF9k3zUY40e6igsLGkDXK92LJNg== -on-finished@~2.3.0: - version "2.3.0" - resolved "https://registry.npmjs.org/on-finished/-/on-finished-2.3.0.tgz" - integrity sha1-IPEzZIGwg811M3mSoWlxqi2QaUc= +on-finished@^2.4.1, on-finished@2.4.1: + version "2.4.1" + resolved "https://registry.npmjs.org/on-finished/-/on-finished-2.4.1.tgz" + integrity sha512-oVlzkg3ENAhCk2zdv7IJwd/QUD4z2RxRwpkcGY8psCVcCYZNq4wYnVWALHM+brtuJjePWiYF/ClmuDr8Ch5+kg== dependencies: ee-first "1.1.1" -on-headers@~1.0.2: - version "1.0.2" - resolved "https://registry.npmjs.org/on-headers/-/on-headers-1.0.2.tgz" - integrity sha512-pZAE+FJLoyITytdqK0U5s+FIpjN0JP3OzFi/u8Rx+EV5/W+JTWGXG8xFzevE7AjBfDqHv/8vL8qQsIhHnqRkrA== - -once@^1.3.0: - version "1.4.0" - resolved "https://registry.npmjs.org/once/-/once-1.4.0.tgz" - integrity sha1-WDsap3WWHUsROsF9nFC6753Xa9E= - dependencies: - wrappy "1" +on-headers@~1.1.0: + version "1.1.0" + resolved "https://registry.npmjs.org/on-headers/-/on-headers-1.1.0.tgz" + integrity sha512-737ZY3yNnXy37FHkQxPzt4UZ2UWPWiCZWLvFZ4fu5cueciegX0zGPnrlY6bwRg4FdQOe9YU8MkmJwGhoMybl8A== onetime@^5.1.2: version "5.1.2" @@ -3410,14 +3095,15 @@ onetime@^5.1.2: dependencies: mimic-fn "^2.1.0" -open@^8.0.9: - version "8.4.0" - resolved "https://registry.npmjs.org/open/-/open-8.4.0.tgz" - integrity sha512-XgFPPM+B28FtCCgSb9I+s9szOC1vZRSwgWsRUA5ylIxRTgKozqjOCrVOqGsYABPYK5qnfqClxZTFBa8PKt2v6Q== +open@^10.0.3: + version "10.2.0" + resolved "https://registry.npmjs.org/open/-/open-10.2.0.tgz" + integrity sha512-YgBpdJHPyQ2UE5x+hlSXcnejzAvD0b22U2OuAP+8OnlJT+PjWPxtgmGqKKc+RgTM63U9gN0YzrYc71R2WT/hTA== dependencies: - define-lazy-prop "^2.0.0" - is-docker "^2.1.1" - is-wsl "^2.2.0" + default-browser "^5.2.1" + define-lazy-prop "^3.0.0" + is-inside-container "^1.0.0" + wsl-utils "^0.1.0" p-limit@^2.2.0: version "2.3.0" @@ -3433,19 +3119,13 @@ p-locate@^4.1.0: dependencies: p-limit "^2.2.0" -p-map@^4.0.0: - version "4.0.0" - resolved "https://registry.npmjs.org/p-map/-/p-map-4.0.0.tgz" - integrity sha512-/bjOqmgETBYB5BoEeGVea8dmvHb2m9GLy1E9W43yeyfP6QQCZGFNa+XRceJEuDB6zqr+gKpIAmlLebMpykw/MQ== - dependencies: - aggregate-error "^3.0.0" - -p-retry@^4.5.0: - version "4.6.1" - resolved "https://registry.npmjs.org/p-retry/-/p-retry-4.6.1.tgz" - integrity sha512-e2xXGNhZOZ0lfgR9kL34iGlU8N/KO0xZnQxVEwdeOvpqNDQfdnxIYizvWtK8RglUa3bGqI8g0R/BdfzLMxRkiA== +p-retry@^6.2.0: + version "6.2.1" + resolved "https://registry.npmjs.org/p-retry/-/p-retry-6.2.1.tgz" + integrity sha512-hEt02O4hUct5wtwg4H4KcWgDdm+l1bOaEy/hWzd8xtXB9BqxTWBBhb+2ImAtH4Cv4rPjV76xN3Zumqk3k3AhhQ== dependencies: - "@types/retry" "^0.12.0" + "@types/retry" "0.12.2" + is-network-error "^1.0.0" retry "^0.13.1" p-try@^2.0.0: @@ -3480,11 +3160,6 @@ path-exists@^4.0.0: resolved "https://registry.npmjs.org/path-exists/-/path-exists-4.0.0.tgz" integrity sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w== -path-is-absolute@^1.0.0: - version "1.0.1" - resolved "https://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz" - integrity sha1-F0uSaHNVNP+8es5r9TpanhtcX18= - path-key@^3.0.0, path-key@^3.1.0: version "3.1.1" resolved "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz" @@ -3495,25 +3170,25 @@ path-parse@^1.0.6: resolved "https://registry.npmjs.org/path-parse/-/path-parse-1.0.7.tgz" integrity sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw== -path-to-regexp@0.1.7: - version "0.1.7" - resolved "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.7.tgz" - integrity sha1-32BBeABfUi8V60SQ5yR6G/qmf4w= +path-to-regexp@0.1.12: + version "0.1.12" + resolved "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.12.tgz" + integrity sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ== path-type@^4.0.0: version "4.0.0" resolved "https://registry.npmjs.org/path-type/-/path-type-4.0.0.tgz" integrity sha512-gDKb8aZMDeD/tZWs9P6+q0J9Mwkdl6xMV8TjnGP3qJVJ06bdMgkbBlLU8IdfOsIsFz2BW1rNVT3XuNEl8zPAvw== -picocolors@^1.0.0: - version "1.0.0" - resolved "https://registry.npmjs.org/picocolors/-/picocolors-1.0.0.tgz" - integrity sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ== +picocolors@^1.0.0, picocolors@^1.1.1: + version "1.1.1" + resolved "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz" + integrity sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA== -picomatch@^2.0.4, picomatch@^2.2.1, picomatch@^2.2.3: - version "2.3.0" - resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.0.tgz" - integrity sha512-lY1Q/PiJGC2zOv/z391WOTD+Z02bCgsFfvxoXXf6h7kv9o+WmsmzYqrAwY63sNgOxE4xEdq0WyUnXfKeBrSvYw== +picomatch@^2.0.4, picomatch@^2.2.1, picomatch@^2.3.1: + version "2.3.1" + resolved "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz" + integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA== pkg-dir@^4.1.0, pkg-dir@^4.2.0: version "4.2.0" @@ -3522,15 +3197,6 @@ pkg-dir@^4.1.0, pkg-dir@^4.2.0: dependencies: find-up "^4.0.0" -portfinder@^1.0.28: - version "1.0.28" - resolved "https://registry.npmjs.org/portfinder/-/portfinder-1.0.28.tgz" - integrity sha512-Se+2isanIcEqf2XMHjyUKskczxbPH7dQnlMjXX6+dybayyHvAf/TCgyMRlzf/B6QDhAEFOGes0pzRo3by4AbMA== - dependencies: - async "^2.6.2" - debug "^3.1.1" - mkdirp "^0.5.5" - postcss-attribute-case-insensitive@^5.0.0: version "5.0.0" resolved "https://registry.npmjs.org/postcss-attribute-case-insensitive/-/postcss-attribute-case-insensitive-5.0.0.tgz" @@ -3548,28 +3214,28 @@ postcss-calc@^8.0.0: postcss-clamp@^4.1.0: version "4.1.0" - resolved "https://registry.yarnpkg.com/postcss-clamp/-/postcss-clamp-4.1.0.tgz#7263e95abadd8c2ba1bd911b0b5a5c9c93e02363" + resolved "https://registry.npmjs.org/postcss-clamp/-/postcss-clamp-4.1.0.tgz" integrity sha512-ry4b1Llo/9zz+PKC+030KUnPITTJAHeOwjfAyyB60eT0AorGLdzp52s31OsPRHRf8NchkgFoG2y6fCfn1IV1Ow== dependencies: postcss-value-parser "^4.2.0" postcss-color-functional-notation@^4.2.2: version "4.2.2" - resolved "https://registry.yarnpkg.com/postcss-color-functional-notation/-/postcss-color-functional-notation-4.2.2.tgz#f59ccaeb4ee78f1b32987d43df146109cc743073" + resolved "https://registry.npmjs.org/postcss-color-functional-notation/-/postcss-color-functional-notation-4.2.2.tgz" integrity sha512-DXVtwUhIk4f49KK5EGuEdgx4Gnyj6+t2jBSEmxvpIK9QI40tWrpS2Pua8Q7iIZWBrki2QOaeUdEaLPPa91K0RQ== dependencies: postcss-value-parser "^4.2.0" postcss-color-hex-alpha@^8.0.3: version "8.0.3" - resolved "https://registry.yarnpkg.com/postcss-color-hex-alpha/-/postcss-color-hex-alpha-8.0.3.tgz#61a0fd151d28b128aa6a8a21a2dad24eebb34d52" + resolved "https://registry.npmjs.org/postcss-color-hex-alpha/-/postcss-color-hex-alpha-8.0.3.tgz" integrity sha512-fESawWJCrBV035DcbKRPAVmy21LpoyiXdPTuHUfWJ14ZRjY7Y7PA6P4g8z6LQGYhU1WAxkTxjIjurXzoe68Glw== dependencies: postcss-value-parser "^4.2.0" postcss-color-rebeccapurple@^7.0.2: version "7.0.2" - resolved "https://registry.yarnpkg.com/postcss-color-rebeccapurple/-/postcss-color-rebeccapurple-7.0.2.tgz#5d397039424a58a9ca628762eb0b88a61a66e079" + resolved "https://registry.npmjs.org/postcss-color-rebeccapurple/-/postcss-color-rebeccapurple-7.0.2.tgz" integrity sha512-SFc3MaocHaQ6k3oZaFwH8io6MdypkUtEy/eXzXEB1vEQlO3S3oDc/FSZA8AsS04Z25RirQhlDlHLh3dn7XewWw== dependencies: postcss-value-parser "^4.2.0" @@ -3598,7 +3264,7 @@ postcss-custom-media@^8.0.0: postcss-custom-properties@^12.1.5: version "12.1.5" - resolved "https://registry.yarnpkg.com/postcss-custom-properties/-/postcss-custom-properties-12.1.5.tgz#e669cfff89b0ea6fc85c45864a32b450cb6b196f" + resolved "https://registry.npmjs.org/postcss-custom-properties/-/postcss-custom-properties-12.1.5.tgz" integrity sha512-FHbbB/hRo/7cxLGkc2NS7cDRIDN1oFqQnUKBiyh4b/gwk8DD8udvmRDpUhEK836kB8ggUCieHVOvZDnF9XhI3g== dependencies: postcss-value-parser "^4.2.0" @@ -3612,7 +3278,7 @@ postcss-custom-selectors@^6.0.0: postcss-dir-pseudo-class@^6.0.4: version "6.0.4" - resolved "https://registry.yarnpkg.com/postcss-dir-pseudo-class/-/postcss-dir-pseudo-class-6.0.4.tgz#9afe49ea631f0cb36fa0076e7c2feb4e7e3f049c" + resolved "https://registry.npmjs.org/postcss-dir-pseudo-class/-/postcss-dir-pseudo-class-6.0.4.tgz" integrity sha512-I8epwGy5ftdzNWEYok9VjW9whC4xnelAtbajGv4adql4FIF09rnrxnA9Y8xSHN47y7gqFIv10C5+ImsLeJpKBw== dependencies: postcss-selector-parser "^6.0.9" @@ -3639,7 +3305,7 @@ postcss-discard-overridden@^5.0.1: postcss-double-position-gradients@^3.1.1: version "3.1.1" - resolved "https://registry.yarnpkg.com/postcss-double-position-gradients/-/postcss-double-position-gradients-3.1.1.tgz#a12cfdb7d11fa1a99ccecc747f0c19718fb37152" + resolved "https://registry.npmjs.org/postcss-double-position-gradients/-/postcss-double-position-gradients-3.1.1.tgz" integrity sha512-jM+CGkTs4FcG53sMPjrrGE0rIvLDdCrqMzgDC5fLI7JHDO7o6QG8C5TQBtExb13hdBdoH9C2QVbG4jo2y9lErQ== dependencies: "@csstools/postcss-progressive-custom-properties" "^1.1.0" @@ -3647,21 +3313,21 @@ postcss-double-position-gradients@^3.1.1: postcss-env-function@^4.0.6: version "4.0.6" - resolved "https://registry.yarnpkg.com/postcss-env-function/-/postcss-env-function-4.0.6.tgz#7b2d24c812f540ed6eda4c81f6090416722a8e7a" + resolved "https://registry.npmjs.org/postcss-env-function/-/postcss-env-function-4.0.6.tgz" integrity sha512-kpA6FsLra+NqcFnL81TnsU+Z7orGtDTxcOhl6pwXeEq1yFPpRMkCDpHhrz8CFQDr/Wfm0jLiNQ1OsGGPjlqPwA== dependencies: postcss-value-parser "^4.2.0" postcss-focus-visible@^6.0.4: version "6.0.4" - resolved "https://registry.yarnpkg.com/postcss-focus-visible/-/postcss-focus-visible-6.0.4.tgz#50c9ea9afa0ee657fb75635fabad25e18d76bf9e" + resolved "https://registry.npmjs.org/postcss-focus-visible/-/postcss-focus-visible-6.0.4.tgz" integrity sha512-QcKuUU/dgNsstIK6HELFRT5Y3lbrMLEOwG+A4s5cA+fx3A3y/JTq3X9LaOj3OC3ALH0XqyrgQIgey/MIZ8Wczw== dependencies: postcss-selector-parser "^6.0.9" postcss-focus-within@^5.0.4: version "5.0.4" - resolved "https://registry.yarnpkg.com/postcss-focus-within/-/postcss-focus-within-5.0.4.tgz#5b1d2ec603195f3344b716c0b75f61e44e8d2e20" + resolved "https://registry.npmjs.org/postcss-focus-within/-/postcss-focus-within-5.0.4.tgz" integrity sha512-vvjDN++C0mu8jz4af5d52CB184ogg/sSxAFS+oUJQq2SuCe7T5U2iIsVJtsCp2d6R4j0jr5+q3rPkBVZkXD9fQ== dependencies: postcss-selector-parser "^6.0.9" @@ -3673,12 +3339,12 @@ postcss-font-variant@^5.0.0: postcss-gap-properties@^3.0.3: version "3.0.3" - resolved "https://registry.yarnpkg.com/postcss-gap-properties/-/postcss-gap-properties-3.0.3.tgz#6401bb2f67d9cf255d677042928a70a915e6ba60" + resolved "https://registry.npmjs.org/postcss-gap-properties/-/postcss-gap-properties-3.0.3.tgz" integrity sha512-rPPZRLPmEKgLk/KlXMqRaNkYTUpE7YC+bOIQFN5xcu1Vp11Y4faIXv6/Jpft6FMnl6YRxZqDZG0qQOW80stzxQ== postcss-image-set-function@^4.0.6: version "4.0.6" - resolved "https://registry.yarnpkg.com/postcss-image-set-function/-/postcss-image-set-function-4.0.6.tgz#bcff2794efae778c09441498f40e0c77374870a9" + resolved "https://registry.npmjs.org/postcss-image-set-function/-/postcss-image-set-function-4.0.6.tgz" integrity sha512-KfdC6vg53GC+vPd2+HYzsZ6obmPqOk6HY09kttU19+Gj1nC3S3XBVEXDHxkhxTohgZqzbUb94bKXvKDnYWBm/A== dependencies: postcss-value-parser "^4.2.0" @@ -3690,7 +3356,7 @@ postcss-initial@^4.0.1: postcss-lab-function@^4.1.2: version "4.1.2" - resolved "https://registry.yarnpkg.com/postcss-lab-function/-/postcss-lab-function-4.1.2.tgz#b75afe43ba9c1f16bfe9bb12c8109cabd55b5fc2" + resolved "https://registry.npmjs.org/postcss-lab-function/-/postcss-lab-function-4.1.2.tgz" integrity sha512-isudf5ldhg4fk16M8viAwAbg6Gv14lVO35N3Z/49NhbwPQ2xbiEoHgrRgpgQojosF4vF7jY653ktB6dDrUOR8Q== dependencies: "@csstools/postcss-progressive-custom-properties" "^1.1.0" @@ -3707,7 +3373,7 @@ postcss-loader@^6.2.1: postcss-logical@^5.0.4: version "5.0.4" - resolved "https://registry.yarnpkg.com/postcss-logical/-/postcss-logical-5.0.4.tgz#ec75b1ee54421acc04d5921576b7d8db6b0e6f73" + resolved "https://registry.npmjs.org/postcss-logical/-/postcss-logical-5.0.4.tgz" integrity sha512-RHXxplCeLh9VjinvMrZONq7im4wjWGlRJAqmAVLXyZaXwfDWP73/oq4NdIp+OZwhQUMj0zjqDfM5Fj7qby+B4g== postcss-media-minmax@^5.0.0: @@ -3797,7 +3463,7 @@ postcss-modules-values@^4.0.0: postcss-nesting@^10.1.3: version "10.1.3" - resolved "https://registry.yarnpkg.com/postcss-nesting/-/postcss-nesting-10.1.3.tgz#f0b1cd7ae675c697ab6a5a5ca1feea4784a2ef77" + resolved "https://registry.npmjs.org/postcss-nesting/-/postcss-nesting-10.1.3.tgz" integrity sha512-wUC+/YCik4wH3StsbC5fBG1s2Z3ZV74vjGqBFYtmYKlVxoio5TYGM06AiaKkQPPlkXWn72HKfS7Cw5PYxnoXSw== dependencies: postcss-selector-parser "^6.0.9" @@ -3871,7 +3537,7 @@ postcss-normalize-whitespace@^5.0.1: postcss-opacity-percentage@^1.1.2: version "1.1.2" - resolved "https://registry.yarnpkg.com/postcss-opacity-percentage/-/postcss-opacity-percentage-1.1.2.tgz#bd698bb3670a0a27f6d657cc16744b3ebf3b1145" + resolved "https://registry.npmjs.org/postcss-opacity-percentage/-/postcss-opacity-percentage-1.1.2.tgz" integrity sha512-lyUfF7miG+yewZ8EAk9XUBIlrHyUE6fijnesuz+Mj5zrIHIEw6KcIZSOk/elVMqzLvREmXB83Zi/5QpNRYd47w== postcss-ordered-values@^5.0.2: @@ -3884,7 +3550,7 @@ postcss-ordered-values@^5.0.2: postcss-overflow-shorthand@^3.0.3: version "3.0.3" - resolved "https://registry.yarnpkg.com/postcss-overflow-shorthand/-/postcss-overflow-shorthand-3.0.3.tgz#ebcfc0483a15bbf1b27fdd9b3c10125372f4cbc2" + resolved "https://registry.npmjs.org/postcss-overflow-shorthand/-/postcss-overflow-shorthand-3.0.3.tgz" integrity sha512-CxZwoWup9KXzQeeIxtgOciQ00tDtnylYIlJBBODqkgS/PU2jISuWOL/mYLHmZb9ZhZiCaNKsCRiLp22dZUtNsg== postcss-page-break@^3.0.4: @@ -3894,14 +3560,14 @@ postcss-page-break@^3.0.4: postcss-place@^7.0.4: version "7.0.4" - resolved "https://registry.yarnpkg.com/postcss-place/-/postcss-place-7.0.4.tgz#eb026650b7f769ae57ca4f938c1addd6be2f62c9" + resolved "https://registry.npmjs.org/postcss-place/-/postcss-place-7.0.4.tgz" integrity sha512-MrgKeiiu5OC/TETQO45kV3npRjOFxEHthsqGtkh3I1rPbZSbXGD/lZVi9j13cYh+NA8PIAPyk6sGjT9QbRyvSg== dependencies: postcss-value-parser "^4.2.0" postcss-preset-env@^7.4.3: version "7.4.3" - resolved "https://registry.yarnpkg.com/postcss-preset-env/-/postcss-preset-env-7.4.3.tgz#fb1c8b4cb405da042da0ddb8c5eda7842c08a449" + resolved "https://registry.npmjs.org/postcss-preset-env/-/postcss-preset-env-7.4.3.tgz" integrity sha512-dlPA65g9KuGv7YsmGyCKtFkZKCPLkoVMUE3omOl6yM+qrynVHxFvf0tMuippIrXB/sB/MyhL1FgTIbrO+qMERg== dependencies: "@csstools/postcss-color-function" "^1.0.3" @@ -3950,7 +3616,7 @@ postcss-preset-env@^7.4.3: postcss-pseudo-class-any-link@^7.1.1: version "7.1.1" - resolved "https://registry.yarnpkg.com/postcss-pseudo-class-any-link/-/postcss-pseudo-class-any-link-7.1.1.tgz#534eb1dadd9945eb07830dbcc06fb4d5d865b8e0" + resolved "https://registry.npmjs.org/postcss-pseudo-class-any-link/-/postcss-pseudo-class-any-link-7.1.1.tgz" integrity sha512-JRoLFvPEX/1YTPxRxp1JO4WxBVXJYrSY7NHeak5LImwJ+VobFMwYDQHvfTXEpcn+7fYIeGkC29zYFhFWIZD8fg== dependencies: postcss-selector-parser "^6.0.9" @@ -3983,17 +3649,9 @@ postcss-selector-not@^5.0.0: dependencies: balanced-match "^1.0.0" -postcss-selector-parser@^6.0.2, postcss-selector-parser@^6.0.4, postcss-selector-parser@^6.0.5: - version "6.0.6" - resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.6.tgz" - integrity sha512-9LXrvaaX3+mcv5xkg5kFwqSzSH1JIObIx51PrndZwlmznwXRfxMddDvo9gve3gVR8ZTKgoFDdWkbRFmEhT4PMg== - dependencies: - cssesc "^3.0.0" - util-deprecate "^1.0.2" - -postcss-selector-parser@^6.0.9: +postcss-selector-parser@^6.0.2, postcss-selector-parser@^6.0.4, postcss-selector-parser@^6.0.5, postcss-selector-parser@^6.0.9: version "6.0.10" - resolved "https://registry.yarnpkg.com/postcss-selector-parser/-/postcss-selector-parser-6.0.10.tgz#79b61e2c0d1bfc2602d549e11d0876256f8df88d" + resolved "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.10.tgz" integrity sha512-IQ7TZdoaqbT+LCpShg46jnZVlhWD2w6iQYAcYXfHARZ7X1t/UGhhceQDs5X0cGqKvYlHNOuv7Oa1xmb0oQuA3w== dependencies: cssesc "^3.0.0" @@ -4020,27 +3678,18 @@ postcss-value-parser@^4.0.2, postcss-value-parser@^4.1.0, postcss-value-parser@^ resolved "https://registry.npmjs.org/postcss-value-parser/-/postcss-value-parser-4.2.0.tgz" integrity sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ== -postcss@^8.3.5: - version "8.4.5" - resolved "https://registry.npmjs.org/postcss/-/postcss-8.4.5.tgz" - integrity sha512-jBDboWM8qpaqwkMwItqTQTiFikhs/67OYVvblFFTM7MrZjt6yMKd6r2kgXizEbTTljacm4NldIlZnhbjr84QYg== - dependencies: - nanoid "^3.1.30" - picocolors "^1.0.0" - source-map-js "^1.0.1" - -postcss@^8.4.7: - version "8.4.12" - resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.4.12.tgz#1e7de78733b28970fa4743f7da6f3763648b1905" - integrity sha512-lg6eITwYe9v6Hr5CncVbK70SoioNQIq81nsaG86ev5hAidQvmOeETBqs7jm43K2F5/Ley3ytDtriImV6TpNiSg== +"postcss@^7.0.0 || ^8.0.1", postcss@^8, postcss@^8.0.0, postcss@^8.0.2, postcss@^8.0.3, postcss@^8.0.9, postcss@^8.1.0, postcss@^8.1.2, postcss@^8.2.15, postcss@^8.2.2, postcss@^8.3, postcss@^8.3.5, postcss@^8.4, postcss@^8.4.6, postcss@^8.4.7: + version "8.5.6" + resolved "https://registry.npmjs.org/postcss/-/postcss-8.5.6.tgz" + integrity sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg== dependencies: - nanoid "^3.3.1" - picocolors "^1.0.0" - source-map-js "^1.0.2" + nanoid "^3.3.11" + picocolors "^1.1.1" + source-map-js "^1.2.1" preact@^10.7.0: version "10.7.0" - resolved "https://registry.yarnpkg.com/preact/-/preact-10.7.0.tgz#3bd424677a894c8199f66a881df283b44bea0eeb" + resolved "https://registry.npmjs.org/preact/-/preact-10.7.0.tgz" integrity sha512-9MEURwzNMKpAil/t6+wabDIJI6oG6GnwypYxiJDvQnW+fHDTt51PYuLZ1QUM31hFr7sDaj9qTaShAF9VIxuxGQ== process-nextick-args@~2.0.0: @@ -4057,7 +3706,7 @@ prop-types@^15.7.2: object-assign "^4.1.1" react-is "^16.8.1" -proxy-addr@~2.0.5: +proxy-addr@~2.0.7: version "2.0.7" resolved "https://registry.npmjs.org/proxy-addr/-/proxy-addr-2.0.7.tgz" integrity sha512-llQsMLSUDUPT44jdrU/O37qlnifitDP+ZwrmmZcoSKyLKvtZxpyV0n2/bD/N4tBAAZ/gJEdZU7KMraoK1+XYAg== @@ -4070,15 +3719,12 @@ punycode@^2.1.0: resolved "https://registry.npmjs.org/punycode/-/punycode-2.1.1.tgz" integrity sha512-XRsRjdf+j5ml+y/6GKHPZbrF/8p2Yga0JPtdqTIY2Xe5ohJPD9saDJJLPvp9+NSBprVvevdXZybnj2cv8OEd0A== -qs@6.7.0: - version "6.7.0" - resolved "https://registry.npmjs.org/qs/-/qs-6.7.0.tgz" - integrity sha512-VCdBRNFTX1fyE7Nb6FYoURo/SPe62QCaAyzJvUjwRaIsc+NePBEniHlvxFmmX56+HZphIGtV0XeCirBtpDrTyQ== - -queue-microtask@^1.2.2: - version "1.2.3" - resolved "https://registry.npmjs.org/queue-microtask/-/queue-microtask-1.2.3.tgz" - integrity sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A== +qs@6.13.0: + version "6.13.0" + resolved "https://registry.npmjs.org/qs/-/qs-6.13.0.tgz" + integrity sha512-+38qI9SOr8tfZ4QmJNplMUxqjbe7LKvvZgWdExBOmd+egZTtjLB67Gu0HRX3u/XOq7UU2Nx6nsjvS16Z9uwfpg== + dependencies: + side-channel "^1.0.6" randombytes@^2.1.0: version "2.1.0" @@ -4092,19 +3738,19 @@ range-parser@^1.2.1, range-parser@~1.2.1: resolved "https://registry.npmjs.org/range-parser/-/range-parser-1.2.1.tgz" integrity sha512-Hrgsx+orqoygnmhFbKaHE6c296J+HTAQXoxEF6gNupROmmGJRoyzfG3ccAveqCBrwr/2yxQ5BVd/GTl5agOwSg== -raw-body@2.4.0: - version "2.4.0" - resolved "https://registry.npmjs.org/raw-body/-/raw-body-2.4.0.tgz" - integrity sha512-4Oz8DUIwdvoa5qMJelxipzi/iJIi40O5cGV1wNYp5hvZP8ZN0T+jiNkL0QepXs+EsQ9XJ8ipEDoiH70ySUJP3Q== +raw-body@2.5.2: + version "2.5.2" + resolved "https://registry.npmjs.org/raw-body/-/raw-body-2.5.2.tgz" + integrity sha512-8zGqypfENjCIqGhgXToC8aB2r7YrBX+AQAfIPs/Mlk+BtPTztOvTS01NRW/3Eh60J+a48lt8qsCzirQ6loCVfA== dependencies: - bytes "3.1.0" - http-errors "1.7.2" + bytes "3.1.2" + http-errors "2.0.0" iconv-lite "0.4.24" unpipe "1.0.0" -react-dom@17: +react-dom@>=16.8.0, react-dom@17: version "17.0.2" - resolved "https://registry.yarnpkg.com/react-dom/-/react-dom-17.0.2.tgz#ecffb6845e3ad8dbfcdc498f0d0a939736502c23" + resolved "https://registry.npmjs.org/react-dom/-/react-dom-17.0.2.tgz" integrity sha512-s4h96KtLDUQlsENhMn1ar8t2bEa+q/YAtj8pPPdIjPDGBDIVNsrD9aXNWqspUe6AzKCIG0C1HZZLqLV7qpOBGA== dependencies: loose-envify "^1.1.0" @@ -4121,9 +3767,9 @@ react-is@^17.0.2: resolved "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz" integrity sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w== -react@17: +"react@^16.8.0 || ^17.0.0 || ^18.0.0", react@>=16.12.0, react@>=16.8.0, react@17, react@17.0.2: version "17.0.2" - resolved "https://registry.yarnpkg.com/react/-/react-17.0.2.tgz#d0b5cc516d29eb3eee383f75b62864cfb6800037" + resolved "https://registry.npmjs.org/react/-/react-17.0.2.tgz" integrity sha512-gnhPt75i/dq/z3/6q/0asP78D0u592D5L1pd7M8P+dck6Fu/jJeL6iVVK23fptSUZj8Vjf++7wXA8UNclGQcbA== dependencies: loose-envify "^1.1.0" @@ -4167,28 +3813,16 @@ rechoir@^0.7.0: regenerate-unicode-properties@^10.0.1: version "10.0.1" - resolved "https://registry.yarnpkg.com/regenerate-unicode-properties/-/regenerate-unicode-properties-10.0.1.tgz#7f442732aa7934a3740c779bb9b3340dccc1fb56" + resolved "https://registry.npmjs.org/regenerate-unicode-properties/-/regenerate-unicode-properties-10.0.1.tgz" integrity sha512-vn5DU6yg6h8hP/2OkQo3K7uVILvY4iu0oI4t3HFa81UPkhGJwkRwM10JEc3upjdhHjs/k8GJY1sRBhk5sr69Bw== dependencies: regenerate "^1.4.2" -regenerate-unicode-properties@^9.0.0: - version "9.0.0" - resolved "https://registry.npmjs.org/regenerate-unicode-properties/-/regenerate-unicode-properties-9.0.0.tgz" - integrity sha512-3E12UeNSPfjrgwjkR81m5J7Aw/T55Tu7nUyZVQYCKEOs+2dkxEY+DpPtZzO4YruuiPb7NkYLVcyJC4+zCbk5pA== - dependencies: - regenerate "^1.4.2" - regenerate@^1.4.2: version "1.4.2" resolved "https://registry.npmjs.org/regenerate/-/regenerate-1.4.2.tgz" integrity sha512-zrceR/XhGYU/d/opr2EKO7aRHUeiBI8qjtfHqADTwZd6Szfy16la6kqD0MIUs5z5hx6AaKa+PixpPrR289+I0A== -regenerator-runtime@^0.13.4: - version "0.13.9" - resolved "https://registry.npmjs.org/regenerator-runtime/-/regenerator-runtime-0.13.9.tgz" - integrity sha512-p3VT+cOEgxFsRRA9X4lkI1E+k2/CtnKtU4gcxyaCUreilL/vqI6CdZ3wxVUx3UOUg+gnUOQQcRI7BmSI656MYA== - regenerator-transform@^0.14.2: version "0.14.5" resolved "https://registry.npmjs.org/regenerator-transform/-/regenerator-transform-0.14.5.tgz" @@ -4196,29 +3830,9 @@ regenerator-transform@^0.14.2: dependencies: "@babel/runtime" "^7.8.4" -regexp.prototype.flags@^1.2.0: - version "1.3.1" - resolved "https://registry.npmjs.org/regexp.prototype.flags/-/regexp.prototype.flags-1.3.1.tgz" - integrity sha512-JiBdRBq91WlY7uRJ0ds7R+dU02i6LKi8r3BuQhNXn+kmeLN+EfHhfjqMRis1zJxnlu88hq/4dx0P2OP3APRTOA== - dependencies: - call-bind "^1.0.2" - define-properties "^1.1.3" - -regexpu-core@^4.7.1: - version "4.8.0" - resolved "https://registry.npmjs.org/regexpu-core/-/regexpu-core-4.8.0.tgz" - integrity sha512-1F6bYsoYiz6is+oz70NWur2Vlh9KWtswuRuzJOfeYUrfPX2o8n74AnUVaOGDbUqVGO9fNHu48/pjJO4sNVwsOg== - dependencies: - regenerate "^1.4.2" - regenerate-unicode-properties "^9.0.0" - regjsgen "^0.5.2" - regjsparser "^0.7.0" - unicode-match-property-ecmascript "^2.0.0" - unicode-match-property-value-ecmascript "^2.0.0" - regexpu-core@^5.0.1: version "5.0.1" - resolved "https://registry.yarnpkg.com/regexpu-core/-/regexpu-core-5.0.1.tgz#c531122a7840de743dcf9c83e923b5560323ced3" + resolved "https://registry.npmjs.org/regexpu-core/-/regexpu-core-5.0.1.tgz" integrity sha512-CriEZlrKK9VJw/xQGJpQM5rY88BtuL8DM+AEwvcThHilbxiTAy8vq4iJnd2tqq8wLmjbGZzP7ZcKFjbGkmEFrw== dependencies: regenerate "^1.4.2" @@ -4228,26 +3842,14 @@ regexpu-core@^5.0.1: unicode-match-property-ecmascript "^2.0.0" unicode-match-property-value-ecmascript "^2.0.0" -regjsgen@^0.5.2: - version "0.5.2" - resolved "https://registry.npmjs.org/regjsgen/-/regjsgen-0.5.2.tgz" - integrity sha512-OFFT3MfrH90xIW8OOSyUrk6QHD5E9JOTeGodiJeBS3J6IwlgzJMNE/1bZklWz5oTg+9dCMyEetclvCVXOPoN3A== - regjsgen@^0.6.0: version "0.6.0" - resolved "https://registry.yarnpkg.com/regjsgen/-/regjsgen-0.6.0.tgz#83414c5354afd7d6627b16af5f10f41c4e71808d" + resolved "https://registry.npmjs.org/regjsgen/-/regjsgen-0.6.0.tgz" integrity sha512-ozE883Uigtqj3bx7OhL1KNbCzGyW2NQZPl6Hs09WTvCuZD5sTI4JY58bkbQWa/Y9hxIsvJ3M8Nbf7j54IqeZbA== -regjsparser@^0.7.0: - version "0.7.0" - resolved "https://registry.npmjs.org/regjsparser/-/regjsparser-0.7.0.tgz" - integrity sha512-A4pcaORqmNMDVwUjWoTzuhwMGpP+NykpfqAsEgI1FSH/EzC7lrN5TMd+kN8YCovX+jMpu8eaqXgXPCa0g8FQNQ== - dependencies: - jsesc "~0.5.0" - regjsparser@^0.8.2: version "0.8.4" - resolved "https://registry.yarnpkg.com/regjsparser/-/regjsparser-0.8.4.tgz#8a14285ffcc5de78c5b95d62bbf413b6bc132d5f" + resolved "https://registry.npmjs.org/regjsparser/-/regjsparser-0.8.4.tgz" integrity sha512-J3LABycON/VNEu3abOviqGHuB/LOtOQj8SKmfP9anY5GfAVw/SPjwzSjxGjbZXIxbGfqTHtJw58C2Li/WkStmA== dependencies: jsesc "~0.5.0" @@ -4260,7 +3862,7 @@ require-from-string@^2.0.2: requires-port@^1.0.0: version "1.0.0" resolved "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz" - integrity sha1-kl0mAdOaxIXgkc8NpcbmlNw9yv8= + integrity sha1-kl0mAdOaxIXgkc8NpcbmlNw9yv8= sha512-KigOCHcocU3XODJxsu8i/j8T9tzT4adHiecwORRQ0ZZFcp7ahwXuRU1m+yuO90C5ZUyGeGfocHDI14M3L3yDAQ== resolve-cwd@^3.0.0: version "3.0.0" @@ -4292,26 +3894,12 @@ retry@^0.13.1: resolved "https://registry.npmjs.org/retry/-/retry-0.13.1.tgz" integrity sha512-XQBQ3I8W1Cge0Seh+6gjj03LbmRFWuoszgK9ooCpwYIrhhoO80pfq4cUkU5DkknwfOfFteRwlZ56PYOGYyFWdg== -reusify@^1.0.4: - version "1.0.4" - resolved "https://registry.npmjs.org/reusify/-/reusify-1.0.4.tgz" - integrity sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw== - -rimraf@^3.0.2: - version "3.0.2" - resolved "https://registry.npmjs.org/rimraf/-/rimraf-3.0.2.tgz" - integrity sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA== - dependencies: - glob "^7.1.3" - -run-parallel@^1.1.9: - version "1.2.0" - resolved "https://registry.npmjs.org/run-parallel/-/run-parallel-1.2.0.tgz" - integrity sha512-5l4VyZR86LZ/lDxZTR6jqL8AFE2S0IFLMP26AbjsLVADxHdhB/c0GUsH+y39UfCi3dzz8OlQuPmnaJOMoDHQBA== - dependencies: - queue-microtask "^1.2.2" +run-applescript@^7.0.0: + version "7.1.0" + resolved "https://registry.npmjs.org/run-applescript/-/run-applescript-7.1.0.tgz" + integrity sha512-DPe5pVFaAsinSaV6QjQ6gdiedWDcRCbUuiQfQa2wmWV7+xC9bGulGI8+TdRmoFkAPaBXk8CrAbnlY2ISniJ47Q== -safe-buffer@5.1.2, safe-buffer@>=5.1.0, safe-buffer@^5.0.1, safe-buffer@^5.1.0, safe-buffer@~5.1.0, safe-buffer@~5.1.1: +safe-buffer@^5.1.0, safe-buffer@>=5.1.0, safe-buffer@~5.1.0, safe-buffer@~5.1.1: version "5.1.2" resolved "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.1.2.tgz" integrity sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g== @@ -4321,6 +3909,11 @@ safe-buffer@~5.2.0: resolved "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz" integrity sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ== +safe-buffer@5.2.1: + version "5.2.1" + resolved "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz" + integrity sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ== + "safer-buffer@>= 2.1.2 < 3": version "2.1.2" resolved "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz" @@ -4328,7 +3921,7 @@ safe-buffer@~5.2.0: scheduler@^0.20.2: version "0.20.2" - resolved "https://registry.yarnpkg.com/scheduler/-/scheduler-0.20.2.tgz#4baee39436e34aa93b4874bddcbf0fe8b8b50e91" + resolved "https://registry.npmjs.org/scheduler/-/scheduler-0.20.2.tgz" integrity sha512-2eWfGgAqqWFGqtdMmcL5zCMK1U8KlXv8SQFGglL3CEtd0aDVDWgeF/YoCmvln55m5zSk3J/20hTaSBeSObsQDQ== dependencies: loose-envify "^1.1.0" @@ -4343,15 +3936,6 @@ schema-utils@^2.6.5: ajv "^6.12.4" ajv-keywords "^3.5.2" -schema-utils@^3.1.0, schema-utils@^3.1.1: - version "3.1.1" - resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-3.1.1.tgz" - integrity sha512-Y5PQxS4ITlC+EahLuXaY86TXfR7Dc5lw294alXOq86JAHCihAIZfqv8nNCWvaEJvaC51uN9hbLGeV0cFBdH+Fw== - dependencies: - "@types/json-schema" "^7.0.8" - ajv "^6.12.5" - ajv-keywords "^3.5.2" - schema-utils@^4.0.0: version "4.0.0" resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-4.0.0.tgz" @@ -4362,65 +3946,89 @@ schema-utils@^4.0.0: ajv-formats "^2.1.1" ajv-keywords "^5.0.0" +schema-utils@^4.2.0: + version "4.3.3" + resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz" + integrity sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA== + dependencies: + "@types/json-schema" "^7.0.9" + ajv "^8.9.0" + ajv-formats "^2.1.1" + ajv-keywords "^5.1.0" + +schema-utils@^4.3.0: + version "4.3.3" + resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz" + integrity sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA== + dependencies: + "@types/json-schema" "^7.0.9" + ajv "^8.9.0" + ajv-formats "^2.1.1" + ajv-keywords "^5.1.0" + +schema-utils@^4.3.3: + version "4.3.3" + resolved "https://registry.npmjs.org/schema-utils/-/schema-utils-4.3.3.tgz" + integrity sha512-eflK8wEtyOE6+hsaRVPxvUKYCpRgzLqDTb8krvAsRIwOGlHoSgYLgBXoubGgLd2fT41/OUYdb48v4k4WWHQurA== + dependencies: + "@types/json-schema" "^7.0.9" + ajv "^8.9.0" + ajv-formats "^2.1.1" + ajv-keywords "^5.1.0" + select-hose@^2.0.0: version "2.0.0" resolved "https://registry.npmjs.org/select-hose/-/select-hose-2.0.0.tgz" - integrity sha1-Yl2GWPhlr0Psliv8N2o3NZpJlMo= + integrity sha1-Yl2GWPhlr0Psliv8N2o3NZpJlMo= sha512-mEugaLK+YfkijB4fx0e6kImuJdCIt2LxCRcbEYPqRGCs4F2ogyfZU5IAZRdjCP8JPq2AtdNoC/Dux63d9Kiryg== -selfsigned@^2.0.0: - version "2.0.0" - resolved "https://registry.npmjs.org/selfsigned/-/selfsigned-2.0.0.tgz" - integrity sha512-cUdFiCbKoa1mZ6osuJs2uDHrs0k0oprsKveFiiaBKCNq3SYyb5gs2HxhQyDNLCmL51ZZThqi4YNDpCK6GOP1iQ== +selfsigned@^2.4.1: + version "2.4.1" + resolved "https://registry.npmjs.org/selfsigned/-/selfsigned-2.4.1.tgz" + integrity sha512-th5B4L2U+eGLq1TVh7zNRGBapioSORUeymIydxgFpwww9d2qyKvtuPU2jJuHvYAwwqi2Y596QBL3eEqcPEYL8Q== dependencies: - node-forge "^1.2.0" - -semver@7.0.0: - version "7.0.0" - resolved "https://registry.npmjs.org/semver/-/semver-7.0.0.tgz" - integrity sha512-+GB6zVA9LWh6zovYQLALHwv5rb2PHGlJi3lfiqIHxR0uuwCgefcOJc59v9fv1w8GbStwxuuqqAjI9NMAOOgq1A== + "@types/node-forge" "^1.3.0" + node-forge "^1" semver@^6.0.0, semver@^6.1.1, semver@^6.1.2, semver@^6.3.0: - version "6.3.0" - resolved "https://registry.npmjs.org/semver/-/semver-6.3.0.tgz" - integrity sha512-b39TBaTSfV6yBrapU89p5fKekE2m/NwnDocOVruQFS1/veMgdzuPcnOM34M6CwxW8jH/lxEa5rBoDeUwu5HHTw== + version "6.3.1" + resolved "https://registry.npmjs.org/semver/-/semver-6.3.1.tgz" + integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA== semver@^7.3.5: - version "7.3.5" - resolved "https://registry.npmjs.org/semver/-/semver-7.3.5.tgz" - integrity sha512-PoeGJYh8HK4BTO/a9Tf6ZG3veo/A7ZVsYrSA6J8ny9nb3B1VrpkuN+z9OE5wfE5p6H4LchYZsegiQgbJD94ZFQ== - dependencies: - lru-cache "^6.0.0" + version "7.7.3" + resolved "https://registry.npmjs.org/semver/-/semver-7.7.3.tgz" + integrity sha512-SdsKMrI9TdgjdweUSR9MweHA4EJ8YxHn8DFaDisvhVlUOe4BF1tLD7GAj0lIqWVl+dPb/rExr0Btby5loQm20Q== -send@0.17.1: - version "0.17.1" - resolved "https://registry.npmjs.org/send/-/send-0.17.1.tgz" - integrity sha512-BsVKsiGcQMFwT8UxypobUKyv7irCNRHk1T0G680vk88yf6LBByGcZJOTJCrTP2xVN6yI+XjPJcNuE3V4fT9sAg== +send@0.19.0: + version "0.19.0" + resolved "https://registry.npmjs.org/send/-/send-0.19.0.tgz" + integrity sha512-dW41u5VfLXu8SJh5bwRmyYUbAoSB3c9uQh6L8h/KtsFREPWpbX1lrljJo186Jc4nmci/sGUZ9a0a0J2zgfq2hw== dependencies: debug "2.6.9" - depd "~1.1.2" - destroy "~1.0.4" + depd "2.0.0" + destroy "1.2.0" encodeurl "~1.0.2" escape-html "~1.0.3" etag "~1.8.1" fresh "0.5.2" - http-errors "~1.7.2" + http-errors "2.0.0" mime "1.6.0" - ms "2.1.1" - on-finished "~2.3.0" + ms "2.1.3" + on-finished "2.4.1" range-parser "~1.2.1" - statuses "~1.5.0" + statuses "2.0.1" -serialize-javascript@^6.0.0: - version "6.0.0" - resolved "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-6.0.0.tgz" - integrity sha512-Qr3TosvguFt8ePWqsvRfrKyQXIiW+nGbYpy8XK24NQHE83caxWt+mIymTT19DGFbNWNLfEwsrkSmN64lVWB9ag== +serialize-javascript@^6.0.0, serialize-javascript@^6.0.2: + version "6.0.2" + resolved "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-6.0.2.tgz" + integrity sha512-Saa1xPByTTq2gdeFZYLLo+RFE35NHZkAbqZeWNd3BpzppeVisAqpDjcp8dyf6uIvEqJRd46jemmyA4iFIeVk8g== dependencies: randombytes "^2.1.0" serve-index@^1.9.1: version "1.9.1" resolved "https://registry.npmjs.org/serve-index/-/serve-index-1.9.1.tgz" - integrity sha1-03aNabHn2C5c4FD/9bRTvqEqkjk= + integrity sha1-03aNabHn2C5c4FD/9bRTvqEqkjk= sha512-pXHfKNP4qujrtteMrSBb0rc8HJ9Ms/GrXwcUtUtD5s4ewDJI8bT3Cz2zTVRMKtri49pLx2e0Ya8ziP5Ya2pZZw== dependencies: accepts "~1.3.4" batch "0.6.1" @@ -4430,25 +4038,25 @@ serve-index@^1.9.1: mime-types "~2.1.17" parseurl "~1.3.2" -serve-static@1.14.1: - version "1.14.1" - resolved "https://registry.npmjs.org/serve-static/-/serve-static-1.14.1.tgz" - integrity sha512-JMrvUwE54emCYWlTI+hGrGv5I8dEwmco/00EvkzIIsR7MqrHonbD9pO2MOfFnpFntl7ecpZs+3mW+XbQZu9QCg== +serve-static@1.16.2: + version "1.16.2" + resolved "https://registry.npmjs.org/serve-static/-/serve-static-1.16.2.tgz" + integrity sha512-VqpjJZKadQB/PEbEwvFdO43Ax5dFBZ2UECszz8bQ7pi7wt//PWe1P6MN7eCnjsatYtBT6EuiClbjSWP2WrIoTw== dependencies: - encodeurl "~1.0.2" + encodeurl "~2.0.0" escape-html "~1.0.3" parseurl "~1.3.3" - send "0.17.1" + send "0.19.0" setprototypeof@1.1.0: version "1.1.0" resolved "https://registry.npmjs.org/setprototypeof/-/setprototypeof-1.1.0.tgz" integrity sha512-BvE/TwpZX4FXExxOxZyRGQQv651MSwmWKZGqvmPcRIjDqWub67kTKuIMx43cZZrS/cBBzwBcNDWoFxt2XEFIpQ== -setprototypeof@1.1.1: - version "1.1.1" - resolved "https://registry.npmjs.org/setprototypeof/-/setprototypeof-1.1.1.tgz" - integrity sha512-JvdAWfbXeIGaZ9cILp38HntZSFSo3mWg6xGcJJsd+d4aRMOqauag1C63dJfDw7OaMYwEbHMOxEZ1lqVRYP2OAw== +setprototypeof@1.2.0: + version "1.2.0" + resolved "https://registry.npmjs.org/setprototypeof/-/setprototypeof-1.2.0.tgz" + integrity sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw== shallow-clone@^3.0.0: version "3.0.1" @@ -4469,17 +4077,57 @@ shebang-regex@^3.0.0: resolved "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz" integrity sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A== +shell-quote@^1.8.3: + version "1.8.3" + resolved "https://registry.npmjs.org/shell-quote/-/shell-quote-1.8.3.tgz" + integrity sha512-ObmnIF4hXNg1BqhnHmgbDETF8dLPCggZWBjkQfhZpbszZnYur5DUljTcCHii5LC3J5E0yeO/1LIMyH+UvHQgyw== + +side-channel-list@^1.0.0: + version "1.0.0" + resolved "https://registry.npmjs.org/side-channel-list/-/side-channel-list-1.0.0.tgz" + integrity sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA== + dependencies: + es-errors "^1.3.0" + object-inspect "^1.13.3" + +side-channel-map@^1.0.1: + version "1.0.1" + resolved "https://registry.npmjs.org/side-channel-map/-/side-channel-map-1.0.1.tgz" + integrity sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA== + dependencies: + call-bound "^1.0.2" + es-errors "^1.3.0" + get-intrinsic "^1.2.5" + object-inspect "^1.13.3" + +side-channel-weakmap@^1.0.2: + version "1.0.2" + resolved "https://registry.npmjs.org/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz" + integrity sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A== + dependencies: + call-bound "^1.0.2" + es-errors "^1.3.0" + get-intrinsic "^1.2.5" + object-inspect "^1.13.3" + side-channel-map "^1.0.1" + +side-channel@^1.0.6: + version "1.1.0" + resolved "https://registry.npmjs.org/side-channel/-/side-channel-1.1.0.tgz" + integrity sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw== + dependencies: + es-errors "^1.3.0" + object-inspect "^1.13.3" + side-channel-list "^1.0.0" + side-channel-map "^1.0.1" + side-channel-weakmap "^1.0.2" + signal-exit@^3.0.3: version "3.0.6" resolved "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.6.tgz" integrity sha512-sDl4qMFpijcGw22U5w63KmD3cZJfBuFlVNbVMKje2keoKML7X2UzWbc4XrmEbDwg0NXJc3yv4/ox7b+JWb57kQ== -slash@^3.0.0: - version "3.0.0" - resolved "https://registry.npmjs.org/slash/-/slash-3.0.0.tgz" - integrity sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q== - -sockjs@^0.3.21: +sockjs@^0.3.24: version "0.3.24" resolved "https://registry.npmjs.org/sockjs/-/sockjs-0.3.24.tgz" integrity sha512-GJgLTZ7vYb/JtPSSZ10hsOYIvEYsjbNU+zPdIHcUaWVNUEPivzxku31865sSSud0Da0W4lEeOPlmw93zLQchuQ== @@ -4488,15 +4136,10 @@ sockjs@^0.3.21: uuid "^8.3.2" websocket-driver "^0.7.4" -source-map-js@^1.0.1: - version "1.0.1" - resolved "https://registry.npmjs.org/source-map-js/-/source-map-js-1.0.1.tgz" - integrity sha512-4+TN2b3tqOCd/kaGRJ/sTYA0tR0mdXx26ipdolxcwtJVqEnqNYvlCAt1q3ypy4QMlYus+Zh34RNtYLoq2oQ4IA== - -source-map-js@^1.0.2: - version "1.0.2" - resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.0.2.tgz#adbc361d9c62df380125e7f161f71c826f1e490c" - integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw== +source-map-js@^1.2.1: + version "1.2.1" + resolved "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz" + integrity sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA== source-map-support@~0.5.20: version "0.5.21" @@ -4506,20 +4149,15 @@ source-map-support@~0.5.20: buffer-from "^1.0.0" source-map "^0.6.0" -source-map@^0.5.0: - version "0.5.7" - resolved "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz" - integrity sha1-igOdLRAh0i0eoUyA2OpGi6LvP8w= - -source-map@^0.6.0, source-map@^0.6.1: +source-map@^0.6.0: version "0.6.1" resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz" integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g== -source-map@~0.7.2: - version "0.7.3" - resolved "https://registry.npmjs.org/source-map/-/source-map-0.7.3.tgz" - integrity sha512-CkCj6giN3S+n9qrYiBTX5gystlENnRW5jZeNLHpe6aue+SrHcG5VYwujhW9s4dY31mEGsxBDrHR6oI69fTXsaQ== +source-map@^0.6.1: + version "0.6.1" + resolved "https://registry.npmjs.org/source-map/-/source-map-0.6.1.tgz" + integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g== spdy-transport@^3.0.0: version "3.0.0" @@ -4549,10 +4187,15 @@ stable@^0.1.8: resolved "https://registry.npmjs.org/stable/-/stable-0.1.8.tgz" integrity sha512-ji9qxRnOVfcuLDySj9qzhGSEFVobyt1kIOSkj1qZzYLzq7Tos/oUUWvotUPQLlrsidqsK6tBH89Bc9kL5zHA6w== -"statuses@>= 1.4.0 < 2", "statuses@>= 1.5.0 < 2", statuses@~1.5.0: +"statuses@>= 1.4.0 < 2": version "1.5.0" resolved "https://registry.npmjs.org/statuses/-/statuses-1.5.0.tgz" - integrity sha1-Fhx9rBd2Wf2YEfQ3cfqZOBR4Yow= + integrity sha1-Fhx9rBd2Wf2YEfQ3cfqZOBR4Yow= sha512-OpZ3zP+jT1PI7I8nemJX4AKmAX070ZkYPVWV/AaKTJl+tXCTGyVdC1a4SL8RUQYEwk/f34ZX8UTykN68FwrqAA== + +statuses@2.0.1: + version "2.0.1" + resolved "https://registry.npmjs.org/statuses/-/statuses-2.0.1.tgz" + integrity sha512-RwNA9Z/7PrK06rYLIzFMlaF+l73iwpzsqRIFgbMLbTcLD6cOao82TaWefPXQvB2fOC4AjuYSEndS7N/mTCbkdQ== string_decoder@^1.1.1: version "1.3.0" @@ -4568,13 +4211,6 @@ string_decoder@~1.1.1: dependencies: safe-buffer "~5.1.0" -strip-ansi@^7.0.0: - version "7.0.1" - resolved "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.0.1.tgz" - integrity sha512-cXNxvT8dFNRVfhVME3JAe98mkXDYN2O1l7jmcwMnOslDeESg1rF/OZMtK0nRAhiari1unG5cD4jG3rapUAkLbw== - dependencies: - ansi-regex "^6.0.1" - strip-final-newline@^2.0.0: version "2.0.0" resolved "https://registry.npmjs.org/strip-final-newline/-/strip-final-newline-2.0.0.tgz" @@ -4593,13 +4229,6 @@ stylehacks@^5.0.1: browserslist "^4.16.0" postcss-selector-parser "^6.0.4" -supports-color@^5.3.0: - version "5.5.0" - resolved "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz" - integrity sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow== - dependencies: - has-flag "^3.0.0" - supports-color@^8.0.0: version "8.1.1" resolved "https://registry.npmjs.org/supports-color/-/supports-color-8.1.1.tgz" @@ -4620,42 +4249,37 @@ svgo@^2.7.0: picocolors "^1.0.0" stable "^0.1.8" -tapable@^2.1.1, tapable@^2.2.0: - version "2.2.1" - resolved "https://registry.npmjs.org/tapable/-/tapable-2.2.1.tgz" - integrity sha512-GNzQvQTOIP6RyTfE2Qxb8ZVlNmw0n88vp1szwWRimP02mnTsx3Wtn5qRdqY9w2XduFNUgvOwhNnQsjwCp+kqaQ== - -terser-webpack-plugin@^5.1.3: - version "5.2.5" - resolved "https://registry.npmjs.org/terser-webpack-plugin/-/terser-webpack-plugin-5.2.5.tgz" - integrity sha512-3luOVHku5l0QBeYS8r4CdHYWEGMmIj3H1U64jgkdZzECcSOJAyJ9TjuqcQZvw1Y+4AOBN9SeYJPJmFn2cM4/2g== - dependencies: - jest-worker "^27.0.6" - schema-utils "^3.1.1" - serialize-javascript "^6.0.0" - source-map "^0.6.1" - terser "^5.7.2" +tapable@^2.2.0, tapable@^2.3.0: + version "2.3.0" + resolved "https://registry.npmjs.org/tapable/-/tapable-2.3.0.tgz" + integrity sha512-g9ljZiwki/LfxmQADO3dEY1CbpmXT5Hm2fJ+QaGKwSXUylMybePR7/67YW7jOrrvjEgL1Fmz5kzyAjWVWLlucg== -terser-webpack-plugin@^5.3.1: - version "5.3.1" - resolved "https://registry.yarnpkg.com/terser-webpack-plugin/-/terser-webpack-plugin-5.3.1.tgz#0320dcc270ad5372c1e8993fabbd927929773e54" - integrity sha512-GvlZdT6wPQKbDNW/GDQzZFg/j4vKU96yl2q6mcUkzKOgW4gwf1Z8cZToUCrz31XHlPWH8MVb1r2tFtdDtTGJ7g== +terser-webpack-plugin@^5.3.1, terser-webpack-plugin@^5.3.11: + version "5.3.14" + resolved "https://registry.npmjs.org/terser-webpack-plugin/-/terser-webpack-plugin-5.3.14.tgz" + integrity sha512-vkZjpUjb6OMS7dhV+tILUW6BhpDR7P2L/aQSAv+Uwk+m8KATX9EccViHTJR2qDtACKPIYndLGCyl3FMo+r2LMw== dependencies: + "@jridgewell/trace-mapping" "^0.3.25" jest-worker "^27.4.5" - schema-utils "^3.1.1" - serialize-javascript "^6.0.0" - source-map "^0.6.1" - terser "^5.7.2" + schema-utils "^4.3.0" + serialize-javascript "^6.0.2" + terser "^5.31.1" -terser@^5.7.2: - version "5.10.0" - resolved "https://registry.npmjs.org/terser/-/terser-5.10.0.tgz" - integrity sha512-AMmF99DMfEDiRJfxfY5jj5wNH/bYO09cniSqhfoyxc8sFoYIgkJy86G04UoZU5VjlpnplVu0K6Tx6E9b5+DlHA== +terser@^5.31.1: + version "5.44.0" + resolved "https://registry.npmjs.org/terser/-/terser-5.44.0.tgz" + integrity sha512-nIVck8DK+GM/0Frwd+nIhZ84pR/BX7rmXMfYwyg+Sri5oGVE99/E3KvXqpC2xHFxyqXyGHTKBSioxxplrO4I4w== dependencies: + "@jridgewell/source-map" "^0.3.3" + acorn "^8.15.0" commander "^2.20.0" - source-map "~0.7.2" source-map-support "~0.5.20" +thingies@^2.5.0: + version "2.5.0" + resolved "https://registry.npmjs.org/thingies/-/thingies-2.5.0.tgz" + integrity sha512-s+2Bwztg6PhWUD7XMfeYm5qliDdSiZm7M7n8KjTkIsm3l/2lgVRc2/Gx/v+ZX8lT4FMA+i8aQvhcWylldc+ZNw== + thunky@^1.0.2: version "1.1.0" resolved "https://registry.npmjs.org/thunky/-/thunky-1.1.0.tgz" @@ -4664,12 +4288,7 @@ thunky@^1.0.2: timsort@^0.3.0: version "0.3.0" resolved "https://registry.npmjs.org/timsort/-/timsort-0.3.0.tgz" - integrity sha1-QFQRqOfmM5/mTbmiNN4R3DHgK9Q= - -to-fast-properties@^2.0.0: - version "2.0.0" - resolved "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz" - integrity sha1-3F5pjL0HkmW8c+A3doGk5Og/YW4= + integrity sha1-QFQRqOfmM5/mTbmiNN4R3DHgK9Q= sha512-qsdtZH+vMoCARQtyod4imc2nIJwg9Cc7lPRrw9CzF8ZKR0khdr8+2nX80PBhET3tcyTtJDxAffGh2rXH4tyU8A== to-regex-range@^5.0.1: version "5.0.1" @@ -4678,22 +4297,32 @@ to-regex-range@^5.0.1: dependencies: is-number "^7.0.0" -toidentifier@1.0.0: - version "1.0.0" - resolved "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.0.tgz" - integrity sha512-yaOH/Pk/VEhBWWTlhI+qXxDFXlejDGcQipMlyxda9nthulaxLZUNcUqFxokp0vcYnvteJln5FNQDRrxj3YcbVw== +toidentifier@1.0.1: + version "1.0.1" + resolved "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz" + integrity sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA== + +tree-dump@^1.0.3, tree-dump@^1.1.0: + version "1.1.0" + resolved "https://registry.npmjs.org/tree-dump/-/tree-dump-1.1.0.tgz" + integrity sha512-rMuvhU4MCDbcbnleZTFezWsaZXRFemSqAM+7jPnzUl1fo9w3YEKOxAeui0fz3OI4EU4hf23iyA7uQRVko+UaBA== tslib@^1.0.0: version "1.14.1" - resolved "https://registry.yarnpkg.com/tslib/-/tslib-1.14.1.tgz#cf2d38bdc34a134bcaf1091c41f6619e2f672d00" + resolved "https://registry.npmjs.org/tslib/-/tslib-1.14.1.tgz" integrity sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg== +tslib@^2, tslib@^2.0.0, tslib@2: + version "2.8.1" + resolved "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz" + integrity sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w== + tslib@^2.3.0: version "2.3.1" resolved "https://registry.npmjs.org/tslib/-/tslib-2.3.1.tgz" integrity sha512-77EbyPPpMz+FRFRuAFlWMtmgUWGe9UOG2Z25NqCwiIjRhOf5iKGuzSe5P2w1laq+FkRy4p+PCuVkJSGkzTEKVw== -type-is@~1.6.17, type-is@~1.6.18: +type-is@~1.6.18: version "1.6.18" resolved "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz" integrity sha512-TkRKr9sUTxEH8MdfuCSP7VizJyzRNMjj2J2do2Jr3Kym598JVdEksuzPQCnlFPW4ky9Q+iA+ma9BGm06XQBy8g== @@ -4724,10 +4353,18 @@ unicode-property-aliases-ecmascript@^2.0.0: resolved "https://registry.npmjs.org/unicode-property-aliases-ecmascript/-/unicode-property-aliases-ecmascript-2.0.0.tgz" integrity sha512-5Zfuy9q/DFr4tfO7ZPeVXb1aPoeQSdeFMLpYuFebehDAhbuevLs5yxSZmIFN1tP5F9Wl4IpJrYojg85/zgyZHQ== -unpipe@1.0.0, unpipe@~1.0.0: +unpipe@~1.0.0, unpipe@1.0.0: version "1.0.0" resolved "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz" - integrity sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw= + integrity sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw= sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ== + +update-browserslist-db@^1.1.3: + version "1.1.3" + resolved "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.3.tgz" + integrity sha512-UxhIZQ+QInVdunkDAaiazvvT/+fXL5Osr0JZlJulepYu6Jd7qJtDZjlur0emRlT71EN3ScPoE7gvsuIKKNavKw== + dependencies: + escalade "^3.2.0" + picocolors "^1.1.1" uri-js@^4.2.2: version "4.4.1" @@ -4738,18 +4375,18 @@ uri-js@^4.2.2: use-isomorphic-layout-effect@^1.1.1: version "1.1.2" - resolved "https://registry.yarnpkg.com/use-isomorphic-layout-effect/-/use-isomorphic-layout-effect-1.1.2.tgz#497cefb13d863d687b08477d9e5a164ad8c1a6fb" + resolved "https://registry.npmjs.org/use-isomorphic-layout-effect/-/use-isomorphic-layout-effect-1.1.2.tgz" integrity sha512-49L8yCO3iGT/ZF9QttjwLF/ZD9Iwto5LnH5LmEdk/6cFmXddqi2ulF0edxTwjj+7mqvpVVGQWvbXZdn32wRSHA== util-deprecate@^1.0.1, util-deprecate@^1.0.2, util-deprecate@~1.0.1: version "1.0.2" resolved "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz" - integrity sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8= + integrity sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8= sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw== utils-merge@1.0.1: version "1.0.1" resolved "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz" - integrity sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM= + integrity sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM= sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA== uuid@^8.3.2: version "8.3.2" @@ -4759,12 +4396,12 @@ uuid@^8.3.2: vary@~1.1.2: version "1.1.2" resolved "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz" - integrity sha1-IpnwLG3tMNSllhsLn3RSShj2NPw= + integrity sha1-IpnwLG3tMNSllhsLn3RSShj2NPw= sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg== -watchpack@^2.3.1: - version "2.3.1" - resolved "https://registry.npmjs.org/watchpack/-/watchpack-2.3.1.tgz" - integrity sha512-x0t0JuydIo8qCNctdDrn1OzH/qDzk2+rdCOC3YzumZ42fiMqmQ7T3xQurykYMhYfHaPHTp4ZxAx2NfUo1K6QaA== +watchpack@^2.4.4: + version "2.4.4" + resolved "https://registry.npmjs.org/watchpack/-/watchpack-2.4.4.tgz" + integrity sha512-c5EGNOiyxxV5qmTtAB7rbiXxi1ooX1pQKMLX/MIabJjRA0SJBQOjKF+KSVfHkr9U1cADPon0mRiVe/riyaiDUA== dependencies: glob-to-regexp "^0.4.1" graceful-fs "^4.1.2" @@ -4776,9 +4413,9 @@ wbuf@^1.1.0, wbuf@^1.7.3: dependencies: minimalistic-assert "^1.0.0" -webpack-cli@^4.9.2: +webpack-cli@^4.9.2, webpack-cli@4.x.x: version "4.9.2" - resolved "https://registry.yarnpkg.com/webpack-cli/-/webpack-cli-4.9.2.tgz#77c1adaea020c3f9e2db8aad8ea78d235c83659d" + resolved "https://registry.npmjs.org/webpack-cli/-/webpack-cli-4.9.2.tgz" integrity sha512-m3/AACnBBzK/kMTcxWHcZFPrw/eQuY4Df1TxvIWfWM2x7mRqBQCqKEd96oCUa9jkapLBaFfRce33eGDb4Pr7YQ== dependencies: "@discoveryjs/json-ext" "^0.5.0" @@ -4794,52 +4431,51 @@ webpack-cli@^4.9.2: rechoir "^0.7.0" webpack-merge "^5.7.3" -webpack-dev-middleware@^5.3.1: - version "5.3.1" - resolved "https://registry.yarnpkg.com/webpack-dev-middleware/-/webpack-dev-middleware-5.3.1.tgz#aa079a8dedd7e58bfeab358a9af7dab304cee57f" - integrity sha512-81EujCKkyles2wphtdrnPg/QqegC/AtqNH//mQkBYSMqwFVCQrxM6ktB2O/SPlZy7LqeEfTbV3cZARGQz6umhg== +webpack-dev-middleware@^7.4.2: + version "7.4.5" + resolved "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-7.4.5.tgz" + integrity sha512-uxQ6YqGdE4hgDKNf7hUiPXOdtkXvBJXrfEGYSx7P7LC8hnUYGK70X6xQXUvXeNyBDDcsiQXpG2m3G9vxowaEuA== dependencies: colorette "^2.0.10" - memfs "^3.4.1" - mime-types "^2.1.31" + memfs "^4.43.1" + mime-types "^3.0.1" + on-finished "^2.4.1" range-parser "^1.2.1" schema-utils "^4.0.0" -webpack-dev-server@^4.7.4: - version "4.7.4" - resolved "https://registry.yarnpkg.com/webpack-dev-server/-/webpack-dev-server-4.7.4.tgz#d0ef7da78224578384e795ac228d8efb63d5f945" - integrity sha512-nfdsb02Zi2qzkNmgtZjkrMOcXnYZ6FLKcQwpxT7MvmHKc+oTtDsBju8j+NMyAygZ9GW1jMEUpy3itHtqgEhe1A== - dependencies: - "@types/bonjour" "^3.5.9" - "@types/connect-history-api-fallback" "^1.3.5" - "@types/express" "^4.17.13" - "@types/serve-index" "^1.9.1" - "@types/sockjs" "^0.3.33" - "@types/ws" "^8.2.2" +webpack-dev-server@^5.2.2: + version "5.2.2" + resolved "https://registry.npmjs.org/webpack-dev-server/-/webpack-dev-server-5.2.2.tgz" + integrity sha512-QcQ72gh8a+7JO63TAx/6XZf/CWhgMzu5m0QirvPfGvptOusAxG12w2+aua1Jkjr7hzaWDnJ2n6JFeexMHI+Zjg== + dependencies: + "@types/bonjour" "^3.5.13" + "@types/connect-history-api-fallback" "^1.5.4" + "@types/express" "^4.17.21" + "@types/express-serve-static-core" "^4.17.21" + "@types/serve-index" "^1.9.4" + "@types/serve-static" "^1.15.5" + "@types/sockjs" "^0.3.36" + "@types/ws" "^8.5.10" ansi-html-community "^0.0.8" - bonjour "^3.5.0" - chokidar "^3.5.3" + bonjour-service "^1.2.1" + chokidar "^3.6.0" colorette "^2.0.10" compression "^1.7.4" - connect-history-api-fallback "^1.6.0" - default-gateway "^6.0.3" - del "^6.0.0" - express "^4.17.1" + connect-history-api-fallback "^2.0.0" + express "^4.21.2" graceful-fs "^4.2.6" - html-entities "^2.3.2" - http-proxy-middleware "^2.0.0" - ipaddr.js "^2.0.1" - open "^8.0.9" - p-retry "^4.5.0" - portfinder "^1.0.28" - schema-utils "^4.0.0" - selfsigned "^2.0.0" + http-proxy-middleware "^2.0.9" + ipaddr.js "^2.1.0" + launch-editor "^2.6.1" + open "^10.0.3" + p-retry "^6.2.0" + schema-utils "^4.2.0" + selfsigned "^2.4.1" serve-index "^1.9.1" - sockjs "^0.3.21" + sockjs "^0.3.24" spdy "^4.0.2" - strip-ansi "^7.0.0" - webpack-dev-middleware "^5.3.1" - ws "^8.4.2" + webpack-dev-middleware "^7.4.2" + ws "^8.18.0" webpack-merge@^5.7.3: version "5.8.0" @@ -4849,42 +4485,43 @@ webpack-merge@^5.7.3: clone-deep "^4.0.1" wildcard "^2.0.0" -webpack-sources@^3.2.3: - version "3.2.3" - resolved "https://registry.yarnpkg.com/webpack-sources/-/webpack-sources-3.2.3.tgz#2d4daab8451fd4b240cc27055ff6a0c2ccea0cde" - integrity sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w== - -webpack@^5.70.0: - version "5.71.0" - resolved "https://registry.yarnpkg.com/webpack/-/webpack-5.71.0.tgz#b01fcf379570b8c5ee06ca06c829ca168c951884" - integrity sha512-g4dFT7CFG8LY0iU5G8nBL6VlkT21Z7dcYDpJAEJV5Q1WLb9UwnFbrem1k7K52ILqEmomN7pnzWFxxE6SlDY56A== - dependencies: - "@types/eslint-scope" "^3.7.3" - "@types/estree" "^0.0.51" - "@webassemblyjs/ast" "1.11.1" - "@webassemblyjs/wasm-edit" "1.11.1" - "@webassemblyjs/wasm-parser" "1.11.1" - acorn "^8.4.1" - acorn-import-assertions "^1.7.6" - browserslist "^4.14.5" +webpack-sources@^3.3.3: + version "3.3.3" + resolved "https://registry.npmjs.org/webpack-sources/-/webpack-sources-3.3.3.tgz" + integrity sha512-yd1RBzSGanHkitROoPFd6qsrxt+oFhg/129YzheDGqeustzX0vTZJZsSsQjVQC4yzBQ56K55XU8gaNCtIzOnTg== + +webpack@^5.0.0, webpack@^5.1.0, webpack@^5.70.0, webpack@>=2, "webpack@4.x.x || 5.x.x": + version "5.102.1" + resolved "https://registry.npmjs.org/webpack/-/webpack-5.102.1.tgz" + integrity sha512-7h/weGm9d/ywQ6qzJ+Xy+r9n/3qgp/thalBbpOi5i223dPXKi04IBtqPN9nTd+jBc7QKfvDbaBnFipYp4sJAUQ== + dependencies: + "@types/eslint-scope" "^3.7.7" + "@types/estree" "^1.0.8" + "@types/json-schema" "^7.0.15" + "@webassemblyjs/ast" "^1.14.1" + "@webassemblyjs/wasm-edit" "^1.14.1" + "@webassemblyjs/wasm-parser" "^1.14.1" + acorn "^8.15.0" + acorn-import-phases "^1.0.3" + browserslist "^4.26.3" chrome-trace-event "^1.0.2" - enhanced-resolve "^5.9.2" - es-module-lexer "^0.9.0" + enhanced-resolve "^5.17.3" + es-module-lexer "^1.2.1" eslint-scope "5.1.1" events "^3.2.0" glob-to-regexp "^0.4.1" - graceful-fs "^4.2.9" - json-parse-better-errors "^1.0.2" + graceful-fs "^4.2.11" + json-parse-even-better-errors "^2.3.1" loader-runner "^4.2.0" mime-types "^2.1.27" neo-async "^2.6.2" - schema-utils "^3.1.0" - tapable "^2.1.1" - terser-webpack-plugin "^5.1.3" - watchpack "^2.3.1" - webpack-sources "^3.2.3" + schema-utils "^4.3.3" + tapable "^2.3.0" + terser-webpack-plugin "^5.3.11" + watchpack "^2.4.4" + webpack-sources "^3.3.3" -websocket-driver@>=0.5.1, websocket-driver@^0.7.4: +websocket-driver@^0.7.4, websocket-driver@>=0.5.1: version "0.7.4" resolved "https://registry.npmjs.org/websocket-driver/-/websocket-driver-0.7.4.tgz" integrity sha512-b17KeDIQVjvb0ssuSDF2cYXSg2iztliJ4B9WdsuB6J952qCPKmnVq4DyW5motImXHDC1cBT/1UezrJVsKw5zjg== @@ -4910,20 +4547,17 @@ wildcard@^2.0.0: resolved "https://registry.npmjs.org/wildcard/-/wildcard-2.0.0.tgz" integrity sha512-JcKqAHLPxcdb9KM49dufGXn2x3ssnfjbcaQdLlfZsL9rH9wgDQjUtDxbo8NE0F6SFvydeu1VhZe7hZuHsB2/pw== -wrappy@1: - version "1.0.2" - resolved "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz" - integrity sha1-tSQ9jz7BqjXxNkYFvA0QNuMKtp8= - -ws@^8.4.2: - version "8.5.0" - resolved "https://registry.yarnpkg.com/ws/-/ws-8.5.0.tgz#bfb4be96600757fe5382de12c670dab984a1ed4f" - integrity sha512-BWX0SWVgLPzYwF8lTzEy1egjhS4S4OEAHfsO8o65WOVsrnSRGaSiUaa9e0ggGlkMTtBlmOpEXiie9RUcBO86qg== +ws@^8.18.0: + version "8.18.3" + resolved "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz" + integrity sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg== -yallist@^4.0.0: - version "4.0.0" - resolved "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz" - integrity sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A== +wsl-utils@^0.1.0: + version "0.1.0" + resolved "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz" + integrity sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw== + dependencies: + is-wsl "^3.1.0" yaml@^1.10.0, yaml@^1.10.2: version "1.10.2" diff --git a/docs/api/com/index.html b/docs/api/com/index.html index 57f19700536fda..3a83d1bd75cc67 100644 --- a/docs/api/com/index.html +++ b/docs/api/com/index.html @@ -3,9 +3,9 @@ - Spark NLP 6.1.5 ScalaDoc - com - - + Spark NLP 6.2.0 ScalaDoc - com + + @@ -28,7 +28,7 @@ @@ -581,6 +581,20 @@

Source code for sparknlp.annotator.er.entity_ruler

[docs] outputAnnotatorType = AnnotatorType.CHUNK
+
[docs] autoMode = Param( + Params._dummy(), + "autoMode", + "Enable built-in regex presets that combine related entity patterns (e.g., 'communication_entities', 'network_entities', 'media_entities', etc.).", + typeConverter=TypeConverters.toString + )
+ +
[docs] extractEntities = Param( + Params._dummy(), + "extractEntities", + "List of entity types to extract. If not set, all entities in the active autoMode or from regexPatterns are used.", + typeConverter=TypeConverters.toListString + )
+ def __init__(self, classname="com.johnsnowlabs.nlp.annotators.er.EntityRulerModel", java_model=None): super(EntityRulerModel, self).__init__( classname=classname, @@ -594,8 +608,29 @@

Source code for sparknlp.annotator.er.entity_ruler

@staticmethod
[docs] def loadStorage(path, spark, storage_ref): - HasStorageModel.loadStorages(path, spark, storage_ref, EntityRulerModel.database)
+ HasStorageModel.loadStorages(path, spark, storage_ref, EntityRulerModel.database) + + +
[docs] def setAutoMode(self, value): + """Sets the auto mode for predefined regex entity groups. + Parameters + ---------- + value : str + Name of the auto mode to activate (e.g., 'communication_entities', 'network_entities', etc.) + """ + return self._set(autoMode=value)
+ + +
[docs] def setExtractEntities(self, value): + """Sets specific entities to extract, filtering only those defined in regexPatterns or autoMode. + + Parameters + ---------- + value : list[str] + List of entity names to extract, e.g., ['EMAIL_ADDRESS_PATTERN', 'IPV4_PATTERN']. + """ + return self._set(extractEntities=value)
diff --git a/docs/api/python/modules/sparknlp/annotator/graph_extraction.html b/docs/api/python/modules/sparknlp/annotator/graph_extraction.html index 9fb3c393d90189..76e8879abbff04 100644 --- a/docs/api/python/modules/sparknlp/annotator/graph_extraction.html +++ b/docs/api/python/modules/sparknlp/annotator/graph_extraction.html @@ -7,7 +7,7 @@ - sparknlp.annotator.graph_extraction — Spark NLP 6.1.5 documentation + sparknlp.annotator.graph_extraction — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/keyword_extraction/yake_keyword_extraction.html b/docs/api/python/modules/sparknlp/annotator/keyword_extraction/yake_keyword_extraction.html index 5690b68290efcc..0697fd6c9ea428 100644 --- a/docs/api/python/modules/sparknlp/annotator/keyword_extraction/yake_keyword_extraction.html +++ b/docs/api/python/modules/sparknlp/annotator/keyword_extraction/yake_keyword_extraction.html @@ -7,7 +7,7 @@ - sparknlp.annotator.keyword_extraction.yake_keyword_extraction — Spark NLP 6.1.5 documentation + sparknlp.annotator.keyword_extraction.yake_keyword_extraction — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ld_dl/language_detector_dl.html b/docs/api/python/modules/sparknlp/annotator/ld_dl/language_detector_dl.html index d1cf7abd2f31e8..fa99290f2c4d33 100644 --- a/docs/api/python/modules/sparknlp/annotator/ld_dl/language_detector_dl.html +++ b/docs/api/python/modules/sparknlp/annotator/ld_dl/language_detector_dl.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ld_dl.language_detector_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.ld_dl.language_detector_dl — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/lemmatizer.html b/docs/api/python/modules/sparknlp/annotator/lemmatizer.html index f0398007d2fe5e..2b2c3507dce59b 100644 --- a/docs/api/python/modules/sparknlp/annotator/lemmatizer.html +++ b/docs/api/python/modules/sparknlp/annotator/lemmatizer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.lemmatizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.lemmatizer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/matcher/big_text_matcher.html b/docs/api/python/modules/sparknlp/annotator/matcher/big_text_matcher.html index 9500848552f08e..e4c763950c4607 100644 --- a/docs/api/python/modules/sparknlp/annotator/matcher/big_text_matcher.html +++ b/docs/api/python/modules/sparknlp/annotator/matcher/big_text_matcher.html @@ -7,7 +7,7 @@ - sparknlp.annotator.matcher.big_text_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.big_text_matcher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/matcher/date_matcher.html b/docs/api/python/modules/sparknlp/annotator/matcher/date_matcher.html index a15aedf382d7fb..4f786457f6651a 100644 --- a/docs/api/python/modules/sparknlp/annotator/matcher/date_matcher.html +++ b/docs/api/python/modules/sparknlp/annotator/matcher/date_matcher.html @@ -7,7 +7,7 @@ - sparknlp.annotator.matcher.date_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.date_matcher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/matcher/multi_date_matcher.html b/docs/api/python/modules/sparknlp/annotator/matcher/multi_date_matcher.html index 911e9655e900ec..5d125110334919 100644 --- a/docs/api/python/modules/sparknlp/annotator/matcher/multi_date_matcher.html +++ b/docs/api/python/modules/sparknlp/annotator/matcher/multi_date_matcher.html @@ -7,7 +7,7 @@ - sparknlp.annotator.matcher.multi_date_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.multi_date_matcher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/matcher/regex_matcher.html b/docs/api/python/modules/sparknlp/annotator/matcher/regex_matcher.html index 9220e6fab656b6..403f8c75fa6ce1 100644 --- a/docs/api/python/modules/sparknlp/annotator/matcher/regex_matcher.html +++ b/docs/api/python/modules/sparknlp/annotator/matcher/regex_matcher.html @@ -7,7 +7,7 @@ - sparknlp.annotator.matcher.regex_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.regex_matcher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/matcher/text_matcher.html b/docs/api/python/modules/sparknlp/annotator/matcher/text_matcher.html index ad1ebac2c1e663..23e5fb53c6b6c6 100644 --- a/docs/api/python/modules/sparknlp/annotator/matcher/text_matcher.html +++ b/docs/api/python/modules/sparknlp/annotator/matcher/text_matcher.html @@ -7,7 +7,7 @@ - sparknlp.annotator.matcher.text_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.text_matcher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/n_gram_generator.html b/docs/api/python/modules/sparknlp/annotator/n_gram_generator.html index 209ff4e7a3e1dd..f2b1bde7960202 100644 --- a/docs/api/python/modules/sparknlp/annotator/n_gram_generator.html +++ b/docs/api/python/modules/sparknlp/annotator/n_gram_generator.html @@ -7,7 +7,7 @@ - sparknlp.annotator.n_gram_generator — Spark NLP 6.1.5 documentation + sparknlp.annotator.n_gram_generator — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/ner_approach.html b/docs/api/python/modules/sparknlp/annotator/ner/ner_approach.html index 4d3b79ea413f21..cb3a7769fd8b0e 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/ner_approach.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/ner_approach.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.ner_approach — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_approach — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/ner_converter.html b/docs/api/python/modules/sparknlp/annotator/ner/ner_converter.html index 77b011e9aa55b0..078e417beedf67 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/ner_converter.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/ner_converter.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.ner_converter — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_converter — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/ner_crf.html b/docs/api/python/modules/sparknlp/annotator/ner/ner_crf.html index 8ddc357af8bb5d..2ae3738e5ce8c7 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/ner_crf.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/ner_crf.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.ner_crf — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_crf — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/ner_dl.html b/docs/api/python/modules/sparknlp/annotator/ner/ner_dl.html index fd0e4612e3d7fa..3e5c8b471bb9e9 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/ner_dl.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/ner_dl.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.ner_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_dl — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/ner_dl_graph_checker.html b/docs/api/python/modules/sparknlp/annotator/ner/ner_dl_graph_checker.html index d27559acaff230..32cccd94fe2a82 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/ner_dl_graph_checker.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/ner_dl_graph_checker.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.ner_dl_graph_checker — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_dl_graph_checker — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/ner_overwriter.html b/docs/api/python/modules/sparknlp/annotator/ner/ner_overwriter.html index e1ee42b0b018cc..903d07c5eed85f 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/ner_overwriter.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/ner_overwriter.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.ner_overwriter — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_overwriter — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ner/zero_shot_ner_model.html b/docs/api/python/modules/sparknlp/annotator/ner/zero_shot_ner_model.html index 052da827d03507..e49a4e2d396579 100644 --- a/docs/api/python/modules/sparknlp/annotator/ner/zero_shot_ner_model.html +++ b/docs/api/python/modules/sparknlp/annotator/ner/zero_shot_ner_model.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ner.zero_shot_ner_model — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.zero_shot_ner_model — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/normalizer.html b/docs/api/python/modules/sparknlp/annotator/normalizer.html index 7c546ada736f3d..6c532a37500b7a 100644 --- a/docs/api/python/modules/sparknlp/annotator/normalizer.html +++ b/docs/api/python/modules/sparknlp/annotator/normalizer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.normalizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.normalizer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/openai/openai_completion.html b/docs/api/python/modules/sparknlp/annotator/openai/openai_completion.html index f3402c67c3c7a3..5db5897ce6913f 100644 --- a/docs/api/python/modules/sparknlp/annotator/openai/openai_completion.html +++ b/docs/api/python/modules/sparknlp/annotator/openai/openai_completion.html @@ -7,7 +7,7 @@ - sparknlp.annotator.openai.openai_completion — Spark NLP 6.1.5 documentation + sparknlp.annotator.openai.openai_completion — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/openai/openai_embeddings.html b/docs/api/python/modules/sparknlp/annotator/openai/openai_embeddings.html index 21390a42c09350..63141f2fcb3a45 100644 --- a/docs/api/python/modules/sparknlp/annotator/openai/openai_embeddings.html +++ b/docs/api/python/modules/sparknlp/annotator/openai/openai_embeddings.html @@ -7,7 +7,7 @@ - sparknlp.annotator.openai.openai_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.openai.openai_embeddings — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/param/classifier_encoder.html b/docs/api/python/modules/sparknlp/annotator/param/classifier_encoder.html index d4ab599cb781ac..ac4656ee2e7c52 100644 --- a/docs/api/python/modules/sparknlp/annotator/param/classifier_encoder.html +++ b/docs/api/python/modules/sparknlp/annotator/param/classifier_encoder.html @@ -7,7 +7,7 @@ - sparknlp.annotator.param.classifier_encoder — Spark NLP 6.1.5 documentation + sparknlp.annotator.param.classifier_encoder — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/param/evaluation_dl_params.html b/docs/api/python/modules/sparknlp/annotator/param/evaluation_dl_params.html index dcea0c1b1d2a45..a50e3dbb8076a6 100644 --- a/docs/api/python/modules/sparknlp/annotator/param/evaluation_dl_params.html +++ b/docs/api/python/modules/sparknlp/annotator/param/evaluation_dl_params.html @@ -7,7 +7,7 @@ - sparknlp.annotator.param.evaluation_dl_params — Spark NLP 6.1.5 documentation + sparknlp.annotator.param.evaluation_dl_params — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/pos/perceptron.html b/docs/api/python/modules/sparknlp/annotator/pos/perceptron.html index 668fbaa62ef26e..c3ac0b1cb92e1f 100644 --- a/docs/api/python/modules/sparknlp/annotator/pos/perceptron.html +++ b/docs/api/python/modules/sparknlp/annotator/pos/perceptron.html @@ -7,7 +7,7 @@ - sparknlp.annotator.pos.perceptron — Spark NLP 6.1.5 documentation + sparknlp.annotator.pos.perceptron — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector.html b/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector.html index c8a851230eb720..98417157b8bfa4 100644 --- a/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector.html +++ b/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector.html @@ -7,7 +7,7 @@ - sparknlp.annotator.sentence.sentence_detector — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentence.sentence_detector — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector_dl.html b/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector_dl.html index fb3b9a5893394c..1c591dba4fbea3 100644 --- a/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector_dl.html +++ b/docs/api/python/modules/sparknlp/annotator/sentence/sentence_detector_dl.html @@ -7,7 +7,7 @@ - sparknlp.annotator.sentence.sentence_detector_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentence.sentence_detector_dl — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/sentiment/sentiment_detector.html b/docs/api/python/modules/sparknlp/annotator/sentiment/sentiment_detector.html index e9d92e9617715d..9ac430dcaa324d 100644 --- a/docs/api/python/modules/sparknlp/annotator/sentiment/sentiment_detector.html +++ b/docs/api/python/modules/sparknlp/annotator/sentiment/sentiment_detector.html @@ -7,7 +7,7 @@ - sparknlp.annotator.sentiment.sentiment_detector — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentiment.sentiment_detector — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/sentiment/vivekn_sentiment.html b/docs/api/python/modules/sparknlp/annotator/sentiment/vivekn_sentiment.html index 75cd9bb28c6cf9..625d37be9390cc 100644 --- a/docs/api/python/modules/sparknlp/annotator/sentiment/vivekn_sentiment.html +++ b/docs/api/python/modules/sparknlp/annotator/sentiment/vivekn_sentiment.html @@ -7,7 +7,7 @@ - sparknlp.annotator.sentiment.vivekn_sentiment — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentiment.vivekn_sentiment — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_model.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_model.html index 6800e705b719ed..082fe2c3bcec02 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_model.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_model.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.auto_gguf_model — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.auto_gguf_model — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -378,12 +378,10 @@

Source code for sparknlp.annotator.seq2seq.auto_gguf_model

# See the License for the specific language governing permissions and # limitations under the License. """Contains classes for the AutoGGUFModel.""" -from typing import List, Dict - from sparknlp.common import * -
[docs]class AutoGGUFModel(AnnotatorModel, HasBatchedAnnotate, HasLlamaCppProperties): +
[docs]class AutoGGUFModel(AnnotatorModel, HasBatchedAnnotate, HasLlamaCppProperties, CompletionPostProcessing): """ Annotator that uses the llama.cpp library to generate text completions with large language models. @@ -609,7 +607,6 @@

Source code for sparknlp.annotator.seq2seq.auto_gguf_model

[docs] inputAnnotatorTypes = [AnnotatorType.DOCUMENT]
[docs] outputAnnotatorType = AnnotatorType.DOCUMENT
- @keyword_only def __init__(self, classname="com.johnsnowlabs.nlp.annotators.seq2seq.AutoGGUFModel", java_model=None): super(AutoGGUFModel, self).__init__( @@ -665,7 +662,12 @@

Source code for sparknlp.annotator.seq2seq.auto_gguf_model

The restored model """ from sparknlp.pretrained import ResourceDownloader - return ResourceDownloader.downloadModel(AutoGGUFModel, name, lang, remote_loc)
+ return ResourceDownloader.downloadModel(AutoGGUFModel, name, lang, remote_loc)
+ +
[docs] def close(self): + """Closes the llama.cpp model backend freeing resources. The model is reloaded when used again. + """ + self._java_obj.close()
diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_reranker.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_reranker.html index 22772a74b58cce..e5587041f1ffc0 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_reranker.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_reranker.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.auto_gguf_reranker — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.auto_gguf_reranker — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -692,7 +692,12 @@

Source code for sparknlp.annotator.seq2seq.auto_gguf_reranker

The restored model """ from sparknlp.pretrained import ResourceDownloader - return ResourceDownloader.downloadModel(AutoGGUFReranker, name, lang, remote_loc)
+ return ResourceDownloader.downloadModel(AutoGGUFReranker, name, lang, remote_loc) + +
[docs] def close(self): + """Closes the llama.cpp model backend freeing resources. The model is reloaded when used again. + """ + self._java_obj.close()
diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_vision_model.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_vision_model.html index 0c817bef7fe2f7..ad5b38d43ed7bf 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_vision_model.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/auto_gguf_vision_model.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.auto_gguf_vision_model — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.auto_gguf_vision_model — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -381,7 +381,7 @@

Source code for sparknlp.annotator.seq2seq.auto_gguf_vision_model

from sparknlp.common import * -
[docs]class AutoGGUFVisionModel(AnnotatorModel, HasBatchedAnnotate, HasLlamaCppProperties): +
[docs]class AutoGGUFVisionModel(AnnotatorModel, HasBatchedAnnotate, HasLlamaCppProperties, CompletionPostProcessing): """Multimodal annotator that uses the llama.cpp library to generate text completions with large language models. It supports ingesting images for captioning. @@ -694,7 +694,12 @@

Source code for sparknlp.annotator.seq2seq.auto_gguf_vision_model

The restored model """ from sparknlp.pretrained import ResourceDownloader - return ResourceDownloader.downloadModel(AutoGGUFVisionModel, name, lang, remote_loc)
+ return ResourceDownloader.downloadModel(AutoGGUFVisionModel, name, lang, remote_loc)
+ +
[docs] def close(self): + """Closes the llama.cpp model backend freeing resources. The model is reloaded when used again. + """ + self._java_obj.close()
diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/bart_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/bart_transformer.html index 4fa7e4f9193eeb..285478c9b5fce2 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/bart_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/bart_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.bart_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.bart_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/cohere_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/cohere_transformer.html index 28054a4a5351a5..6765634d25cba4 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/cohere_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/cohere_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.cohere_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.cohere_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/cpm_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/cpm_transformer.html index 06707c5cc6bb1d..8fd6bbc5501b09 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/cpm_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/cpm_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.cpm_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.cpm_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/gpt2_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/gpt2_transformer.html index d39db041e16d66..0b57df006399a6 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/gpt2_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/gpt2_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.gpt2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.gpt2_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/llama2_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/llama2_transformer.html index 1d19dac33345f2..17fea6406ae944 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/llama2_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/llama2_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.llama2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.llama2_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/llama3_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/llama3_transformer.html index 3f006307cca2fb..e306722b13b184 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/llama3_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/llama3_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.llama3_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.llama3_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/m2m100_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/m2m100_transformer.html index dd2a3a9be128ea..0dcf7abb7a151b 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/m2m100_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/m2m100_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.m2m100_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.m2m100_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/marian_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/marian_transformer.html index 02ffc5032e6834..971149389df5fa 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/marian_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/marian_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.marian_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.marian_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/mistral_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/mistral_transformer.html index c18c7cdcb10b00..4f41a21d2b7934 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/mistral_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/mistral_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.mistral_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.mistral_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/nllb_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/nllb_transformer.html index 7cf283b3cded53..208ad736aee678 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/nllb_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/nllb_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.nllb_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.nllb_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/olmo_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/olmo_transformer.html index c3caed4556bb19..cf6d79b208e681 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/olmo_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/olmo_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.olmo_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.olmo_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/phi2_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/phi2_transformer.html index b7d3adedc19837..178d0161c207e4 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/phi2_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/phi2_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.phi2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.phi2_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/phi3_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/phi3_transformer.html index 3a9772b69d100c..e54fe3d7e10957 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/phi3_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/phi3_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.phi3_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.phi3_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/phi4_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/phi4_transformer.html index 49f538a873c4ca..cddbb7ef98315f 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/phi4_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/phi4_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.phi4_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.phi4_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/qwen_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/qwen_transformer.html index dbef12f2667ad6..fa7cca4ccc6bca 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/qwen_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/qwen_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.qwen_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.qwen_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/starcoder_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/starcoder_transformer.html index e0e112e39d9f48..4b62022513e82e 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/starcoder_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/starcoder_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.starcoder_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.starcoder_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/seq2seq/t5_transformer.html b/docs/api/python/modules/sparknlp/annotator/seq2seq/t5_transformer.html index e0e5a05d1231e1..541116942ad90b 100644 --- a/docs/api/python/modules/sparknlp/annotator/seq2seq/t5_transformer.html +++ b/docs/api/python/modules/sparknlp/annotator/seq2seq/t5_transformer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.seq2seq.t5_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.t5_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/similarity/document_similarity_ranker.html b/docs/api/python/modules/sparknlp/annotator/similarity/document_similarity_ranker.html index 954a4b479211f9..dc6f1fb540f9e0 100644 --- a/docs/api/python/modules/sparknlp/annotator/similarity/document_similarity_ranker.html +++ b/docs/api/python/modules/sparknlp/annotator/similarity/document_similarity_ranker.html @@ -7,7 +7,7 @@ - sparknlp.annotator.similarity.document_similarity_ranker — Spark NLP 6.1.5 documentation + sparknlp.annotator.similarity.document_similarity_ranker — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/spell_check/context_spell_checker.html b/docs/api/python/modules/sparknlp/annotator/spell_check/context_spell_checker.html index f6161ac2444c08..e0d9f484b6b7cf 100644 --- a/docs/api/python/modules/sparknlp/annotator/spell_check/context_spell_checker.html +++ b/docs/api/python/modules/sparknlp/annotator/spell_check/context_spell_checker.html @@ -7,7 +7,7 @@ - sparknlp.annotator.spell_check.context_spell_checker — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check.context_spell_checker — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/spell_check/norvig_sweeting.html b/docs/api/python/modules/sparknlp/annotator/spell_check/norvig_sweeting.html index b1e81de79f2f0b..fe79f57563ea05 100644 --- a/docs/api/python/modules/sparknlp/annotator/spell_check/norvig_sweeting.html +++ b/docs/api/python/modules/sparknlp/annotator/spell_check/norvig_sweeting.html @@ -7,7 +7,7 @@ - sparknlp.annotator.spell_check.norvig_sweeting — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check.norvig_sweeting — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/spell_check/symmetric_delete.html b/docs/api/python/modules/sparknlp/annotator/spell_check/symmetric_delete.html index 2561e9846881ee..eda7ebbb1015eb 100644 --- a/docs/api/python/modules/sparknlp/annotator/spell_check/symmetric_delete.html +++ b/docs/api/python/modules/sparknlp/annotator/spell_check/symmetric_delete.html @@ -7,7 +7,7 @@ - sparknlp.annotator.spell_check.symmetric_delete — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check.symmetric_delete — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/stemmer.html b/docs/api/python/modules/sparknlp/annotator/stemmer.html index fb97aaee8d4506..b7183d815cb611 100644 --- a/docs/api/python/modules/sparknlp/annotator/stemmer.html +++ b/docs/api/python/modules/sparknlp/annotator/stemmer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.stemmer — Spark NLP 6.1.5 documentation + sparknlp.annotator.stemmer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/stop_words_cleaner.html b/docs/api/python/modules/sparknlp/annotator/stop_words_cleaner.html index 1092a613a22c26..1f772b4adf35e2 100644 --- a/docs/api/python/modules/sparknlp/annotator/stop_words_cleaner.html +++ b/docs/api/python/modules/sparknlp/annotator/stop_words_cleaner.html @@ -7,7 +7,7 @@ - sparknlp.annotator.stop_words_cleaner — Spark NLP 6.1.5 documentation + sparknlp.annotator.stop_words_cleaner — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/tf_ner_dl_graph_builder.html b/docs/api/python/modules/sparknlp/annotator/tf_ner_dl_graph_builder.html index 7c9b2c8373ba21..4855c8f488a070 100644 --- a/docs/api/python/modules/sparknlp/annotator/tf_ner_dl_graph_builder.html +++ b/docs/api/python/modules/sparknlp/annotator/tf_ner_dl_graph_builder.html @@ -7,7 +7,7 @@ - sparknlp.annotator.tf_ner_dl_graph_builder — Spark NLP 6.1.5 documentation + sparknlp.annotator.tf_ner_dl_graph_builder — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/token/chunk_tokenizer.html b/docs/api/python/modules/sparknlp/annotator/token/chunk_tokenizer.html index 881156f53a46b8..3cbf6b14febc93 100644 --- a/docs/api/python/modules/sparknlp/annotator/token/chunk_tokenizer.html +++ b/docs/api/python/modules/sparknlp/annotator/token/chunk_tokenizer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.token.chunk_tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.chunk_tokenizer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/token/recursive_tokenizer.html b/docs/api/python/modules/sparknlp/annotator/token/recursive_tokenizer.html index af907d953cd213..57b57956dfed7e 100644 --- a/docs/api/python/modules/sparknlp/annotator/token/recursive_tokenizer.html +++ b/docs/api/python/modules/sparknlp/annotator/token/recursive_tokenizer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.token.recursive_tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.recursive_tokenizer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/token/regex_tokenizer.html b/docs/api/python/modules/sparknlp/annotator/token/regex_tokenizer.html index 56f3894d090995..58f70a60f6bcd7 100644 --- a/docs/api/python/modules/sparknlp/annotator/token/regex_tokenizer.html +++ b/docs/api/python/modules/sparknlp/annotator/token/regex_tokenizer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.token.regex_tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.regex_tokenizer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/token/tokenizer.html b/docs/api/python/modules/sparknlp/annotator/token/tokenizer.html index fa24d7a2f78ae7..b6f4c14d76eb3d 100644 --- a/docs/api/python/modules/sparknlp/annotator/token/tokenizer.html +++ b/docs/api/python/modules/sparknlp/annotator/token/tokenizer.html @@ -7,7 +7,7 @@ - sparknlp.annotator.token.tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.tokenizer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/token2_chunk.html b/docs/api/python/modules/sparknlp/annotator/token2_chunk.html index cd874dbf6b527f..3d2dd70f9d62b6 100644 --- a/docs/api/python/modules/sparknlp/annotator/token2_chunk.html +++ b/docs/api/python/modules/sparknlp/annotator/token2_chunk.html @@ -7,7 +7,7 @@ - sparknlp.annotator.token2_chunk — Spark NLP 6.1.5 documentation + sparknlp.annotator.token2_chunk — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/annotator/ws/word_segmenter.html b/docs/api/python/modules/sparknlp/annotator/ws/word_segmenter.html index abcf30544e1318..bdd1340d63cb47 100644 --- a/docs/api/python/modules/sparknlp/annotator/ws/word_segmenter.html +++ b/docs/api/python/modules/sparknlp/annotator/ws/word_segmenter.html @@ -7,7 +7,7 @@ - sparknlp.annotator.ws.word_segmenter — Spark NLP 6.1.5 documentation + sparknlp.annotator.ws.word_segmenter — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/audio_assembler.html b/docs/api/python/modules/sparknlp/base/audio_assembler.html index c7205db7b6607b..7aeed519157dd0 100644 --- a/docs/api/python/modules/sparknlp/base/audio_assembler.html +++ b/docs/api/python/modules/sparknlp/base/audio_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.audio_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.audio_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/doc2_chunk.html b/docs/api/python/modules/sparknlp/base/doc2_chunk.html index 42180e7aca9b27..183021ff1c2c4c 100644 --- a/docs/api/python/modules/sparknlp/base/doc2_chunk.html +++ b/docs/api/python/modules/sparknlp/base/doc2_chunk.html @@ -7,7 +7,7 @@ - sparknlp.base.doc2_chunk — Spark NLP 6.1.5 documentation + sparknlp.base.doc2_chunk — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/document_assembler.html b/docs/api/python/modules/sparknlp/base/document_assembler.html index 6d2f55a3b2d54a..43199b858a88d4 100644 --- a/docs/api/python/modules/sparknlp/base/document_assembler.html +++ b/docs/api/python/modules/sparknlp/base/document_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.document_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.document_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/embeddings_finisher.html b/docs/api/python/modules/sparknlp/base/embeddings_finisher.html index 796d0f5a79d42b..52d6f680146ba9 100644 --- a/docs/api/python/modules/sparknlp/base/embeddings_finisher.html +++ b/docs/api/python/modules/sparknlp/base/embeddings_finisher.html @@ -7,7 +7,7 @@ - sparknlp.base.embeddings_finisher — Spark NLP 6.1.5 documentation + sparknlp.base.embeddings_finisher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/finisher.html b/docs/api/python/modules/sparknlp/base/finisher.html index e584bd89dd536f..d60af250cc8f55 100644 --- a/docs/api/python/modules/sparknlp/base/finisher.html +++ b/docs/api/python/modules/sparknlp/base/finisher.html @@ -7,7 +7,7 @@ - sparknlp.base.finisher — Spark NLP 6.1.5 documentation + sparknlp.base.finisher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/gguf_ranking_finisher.html b/docs/api/python/modules/sparknlp/base/gguf_ranking_finisher.html index 0ef1f5aca29bc5..45dcb84d030a30 100644 --- a/docs/api/python/modules/sparknlp/base/gguf_ranking_finisher.html +++ b/docs/api/python/modules/sparknlp/base/gguf_ranking_finisher.html @@ -7,7 +7,7 @@ - sparknlp.base.gguf_ranking_finisher — Spark NLP 6.1.5 documentation + sparknlp.base.gguf_ranking_finisher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/graph_finisher.html b/docs/api/python/modules/sparknlp/base/graph_finisher.html index 5022dc5dc77ec2..2e95d41ea32d31 100644 --- a/docs/api/python/modules/sparknlp/base/graph_finisher.html +++ b/docs/api/python/modules/sparknlp/base/graph_finisher.html @@ -7,7 +7,7 @@ - sparknlp.base.graph_finisher — Spark NLP 6.1.5 documentation + sparknlp.base.graph_finisher — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/has_recursive_fit.html b/docs/api/python/modules/sparknlp/base/has_recursive_fit.html index e5b6b380686133..aaad5c7b25c327 100644 --- a/docs/api/python/modules/sparknlp/base/has_recursive_fit.html +++ b/docs/api/python/modules/sparknlp/base/has_recursive_fit.html @@ -7,7 +7,7 @@ - sparknlp.base.has_recursive_fit — Spark NLP 6.1.5 documentation + sparknlp.base.has_recursive_fit — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/has_recursive_transform.html b/docs/api/python/modules/sparknlp/base/has_recursive_transform.html index 5a4fbef115eaf1..2f5caa01606f3c 100644 --- a/docs/api/python/modules/sparknlp/base/has_recursive_transform.html +++ b/docs/api/python/modules/sparknlp/base/has_recursive_transform.html @@ -7,7 +7,7 @@ - sparknlp.base.has_recursive_transform — Spark NLP 6.1.5 documentation + sparknlp.base.has_recursive_transform — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/image_assembler.html b/docs/api/python/modules/sparknlp/base/image_assembler.html index 2c60cffcd69509..b1cf28cb8f63a9 100644 --- a/docs/api/python/modules/sparknlp/base/image_assembler.html +++ b/docs/api/python/modules/sparknlp/base/image_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.image_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.image_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/light_pipeline.html b/docs/api/python/modules/sparknlp/base/light_pipeline.html index b83f7fb772e480..59ef02f0adfd39 100644 --- a/docs/api/python/modules/sparknlp/base/light_pipeline.html +++ b/docs/api/python/modules/sparknlp/base/light_pipeline.html @@ -7,7 +7,7 @@ - sparknlp.base.light_pipeline — Spark NLP 6.1.5 documentation + sparknlp.base.light_pipeline — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/multi_document_assembler.html b/docs/api/python/modules/sparknlp/base/multi_document_assembler.html index 299059717e731b..c77bb405be1f69 100644 --- a/docs/api/python/modules/sparknlp/base/multi_document_assembler.html +++ b/docs/api/python/modules/sparknlp/base/multi_document_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.multi_document_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.multi_document_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/prompt_assembler.html b/docs/api/python/modules/sparknlp/base/prompt_assembler.html index 3aca5dd9ddc66e..2ec56d4adfea1d 100644 --- a/docs/api/python/modules/sparknlp/base/prompt_assembler.html +++ b/docs/api/python/modules/sparknlp/base/prompt_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.prompt_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.prompt_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/recursive_pipeline.html b/docs/api/python/modules/sparknlp/base/recursive_pipeline.html index 21f5fc443ac8dd..e89ca2b44df9bc 100644 --- a/docs/api/python/modules/sparknlp/base/recursive_pipeline.html +++ b/docs/api/python/modules/sparknlp/base/recursive_pipeline.html @@ -7,7 +7,7 @@ - sparknlp.base.recursive_pipeline — Spark NLP 6.1.5 documentation + sparknlp.base.recursive_pipeline — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/table_assembler.html b/docs/api/python/modules/sparknlp/base/table_assembler.html index 64cd6fd56360b6..f80e2bb638f2b3 100644 --- a/docs/api/python/modules/sparknlp/base/table_assembler.html +++ b/docs/api/python/modules/sparknlp/base/table_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.table_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.table_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/base/token_assembler.html b/docs/api/python/modules/sparknlp/base/token_assembler.html index 8d7c3b8f5923cf..6db8a568d93884 100644 --- a/docs/api/python/modules/sparknlp/base/token_assembler.html +++ b/docs/api/python/modules/sparknlp/base/token_assembler.html @@ -7,7 +7,7 @@ - sparknlp.base.token_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.token_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/annotator_approach.html b/docs/api/python/modules/sparknlp/common/annotator_approach.html index a3c64d21aa5ca3..36494f2576c3cc 100644 --- a/docs/api/python/modules/sparknlp/common/annotator_approach.html +++ b/docs/api/python/modules/sparknlp/common/annotator_approach.html @@ -7,7 +7,7 @@ - sparknlp.common.annotator_approach — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_approach — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/annotator_model.html b/docs/api/python/modules/sparknlp/common/annotator_model.html index bcb9a07ae7a1f0..261ebe1ccc1d04 100644 --- a/docs/api/python/modules/sparknlp/common/annotator_model.html +++ b/docs/api/python/modules/sparknlp/common/annotator_model.html @@ -7,7 +7,7 @@ - sparknlp.common.annotator_model — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_model — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/annotator_properties.html b/docs/api/python/modules/sparknlp/common/annotator_properties.html index b8982bc27c98c8..e78cfefc2f8171 100644 --- a/docs/api/python/modules/sparknlp/common/annotator_properties.html +++ b/docs/api/python/modules/sparknlp/common/annotator_properties.html @@ -7,7 +7,7 @@ - sparknlp.common.annotator_properties — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_properties — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/annotator_type.html b/docs/api/python/modules/sparknlp/common/annotator_type.html index 67817b3dd93676..3b81442b7e73a2 100644 --- a/docs/api/python/modules/sparknlp/common/annotator_type.html +++ b/docs/api/python/modules/sparknlp/common/annotator_type.html @@ -7,7 +7,7 @@ - sparknlp.common.annotator_type — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_type — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/completion_post_processing.html b/docs/api/python/modules/sparknlp/common/completion_post_processing.html new file mode 100644 index 00000000000000..0c3f704f468f3f --- /dev/null +++ b/docs/api/python/modules/sparknlp/common/completion_post_processing.html @@ -0,0 +1,471 @@ + + + + + + + + + + sparknlp.common.completion_post_processing — Spark NLP 6.2.0 documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + +
+
+
+
+
+ + + +
+
+ +
+ + + + + + + + + + + +
+ +
+ + +
+
+ +
+
+ +
+ +
+ + + + +
+ +
+ + +
+
+ + + + + +
+ +

Source code for sparknlp.common.completion_post_processing

+#  Copyright 2017-2025 John Snow Labs
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+from pyspark.ml.param import Param, Params, TypeConverters
+
+
+
[docs]class CompletionPostProcessing: +
[docs] removeThinkingTag = Param( + Params._dummy(), + "removeThinkingTag", + "Set a thinking tag (e.g. think) to be removed from output. Will match <TAG>...</TAG>", + typeConverter=TypeConverters.toString, + )
+ +
[docs] def setRemoveThinkingTag(self, value: str): + """Set a thinking tag (e.g. `think`) to be removed from output. + Will produce the regex: `(?s)<$TAG>.+?</$TAG>` + """ + self._set(removeThinkingTag=value) + return self
+ +
[docs] def getRemoveThinkingTag(self): + """Get the thinking tag to be removed from output.""" + value = None + if self.removeThinkingTag in self._paramMap: + value = self._paramMap[self.removeThinkingTag] + return value
+
+ +
+ + + + + +
+ +
+
+
+ +
+ + + + +
+ + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/docs/api/python/modules/sparknlp/common/coverage_result.html b/docs/api/python/modules/sparknlp/common/coverage_result.html index 8fd8491cd814b7..975b4c2920caae 100644 --- a/docs/api/python/modules/sparknlp/common/coverage_result.html +++ b/docs/api/python/modules/sparknlp/common/coverage_result.html @@ -7,7 +7,7 @@ - sparknlp.common.coverage_result — Spark NLP 6.1.5 documentation + sparknlp.common.coverage_result — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/match_strategy.html b/docs/api/python/modules/sparknlp/common/match_strategy.html index 112ceb74b61f58..442c67d03eb20d 100644 --- a/docs/api/python/modules/sparknlp/common/match_strategy.html +++ b/docs/api/python/modules/sparknlp/common/match_strategy.html @@ -7,7 +7,7 @@ - sparknlp.common.match_strategy — Spark NLP 6.1.5 documentation + sparknlp.common.match_strategy — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/properties.html b/docs/api/python/modules/sparknlp/common/properties.html index e2d00b654db88e..c3a57b8152a7fe 100644 --- a/docs/api/python/modules/sparknlp/common/properties.html +++ b/docs/api/python/modules/sparknlp/common/properties.html @@ -7,7 +7,7 @@ - sparknlp.common.properties — Spark NLP 6.1.5 documentation + sparknlp.common.properties — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/read_as.html b/docs/api/python/modules/sparknlp/common/read_as.html index 5692cf89e7cb2e..d8755f428afb07 100644 --- a/docs/api/python/modules/sparknlp/common/read_as.html +++ b/docs/api/python/modules/sparknlp/common/read_as.html @@ -7,7 +7,7 @@ - sparknlp.common.read_as — Spark NLP 6.1.5 documentation + sparknlp.common.read_as — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/recursive_annotator_approach.html b/docs/api/python/modules/sparknlp/common/recursive_annotator_approach.html index 5dbc9b7db98a2a..6236b204cce615 100644 --- a/docs/api/python/modules/sparknlp/common/recursive_annotator_approach.html +++ b/docs/api/python/modules/sparknlp/common/recursive_annotator_approach.html @@ -7,7 +7,7 @@ - sparknlp.common.recursive_annotator_approach — Spark NLP 6.1.5 documentation + sparknlp.common.recursive_annotator_approach — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/storage.html b/docs/api/python/modules/sparknlp/common/storage.html index 5fb508dc863fea..9b6927d2db54fa 100644 --- a/docs/api/python/modules/sparknlp/common/storage.html +++ b/docs/api/python/modules/sparknlp/common/storage.html @@ -7,7 +7,7 @@ - sparknlp.common.storage — Spark NLP 6.1.5 documentation + sparknlp.common.storage — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/common/utils.html b/docs/api/python/modules/sparknlp/common/utils.html index 0a30d391cc3c0c..d8c2ad92209594 100644 --- a/docs/api/python/modules/sparknlp/common/utils.html +++ b/docs/api/python/modules/sparknlp/common/utils.html @@ -7,7 +7,7 @@ - sparknlp.common.utils — Spark NLP 6.1.5 documentation + sparknlp.common.utils — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/functions.html b/docs/api/python/modules/sparknlp/functions.html index ed7a3d7df3eca2..72488ed0c7cbd8 100644 --- a/docs/api/python/modules/sparknlp/functions.html +++ b/docs/api/python/modules/sparknlp/functions.html @@ -7,7 +7,7 @@ - sparknlp.functions — Spark NLP 6.1.5 documentation + sparknlp.functions — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/internal/annotator_java_ml.html b/docs/api/python/modules/sparknlp/internal/annotator_java_ml.html index 6fda4ee6b1c1db..c00354c91a73ef 100644 --- a/docs/api/python/modules/sparknlp/internal/annotator_java_ml.html +++ b/docs/api/python/modules/sparknlp/internal/annotator_java_ml.html @@ -7,7 +7,7 @@ - sparknlp.internal.annotator_java_ml — Spark NLP 6.1.5 documentation + sparknlp.internal.annotator_java_ml — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/internal/annotator_transformer.html b/docs/api/python/modules/sparknlp/internal/annotator_transformer.html index 3968a67b79e601..89bcbf3c05683e 100644 --- a/docs/api/python/modules/sparknlp/internal/annotator_transformer.html +++ b/docs/api/python/modules/sparknlp/internal/annotator_transformer.html @@ -7,7 +7,7 @@ - sparknlp.internal.annotator_transformer — Spark NLP 6.1.5 documentation + sparknlp.internal.annotator_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/internal/extended_java_wrapper.html b/docs/api/python/modules/sparknlp/internal/extended_java_wrapper.html index 18f13fa86549b5..56805190891f94 100644 --- a/docs/api/python/modules/sparknlp/internal/extended_java_wrapper.html +++ b/docs/api/python/modules/sparknlp/internal/extended_java_wrapper.html @@ -7,7 +7,7 @@ - sparknlp.internal.extended_java_wrapper — Spark NLP 6.1.5 documentation + sparknlp.internal.extended_java_wrapper — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/internal/params_getters_setters.html b/docs/api/python/modules/sparknlp/internal/params_getters_setters.html index 6dacd65c4aaee3..30cd0223060115 100644 --- a/docs/api/python/modules/sparknlp/internal/params_getters_setters.html +++ b/docs/api/python/modules/sparknlp/internal/params_getters_setters.html @@ -7,7 +7,7 @@ - sparknlp.internal.params_getters_setters — Spark NLP 6.1.5 documentation + sparknlp.internal.params_getters_setters — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/internal/recursive.html b/docs/api/python/modules/sparknlp/internal/recursive.html index bd434a564e926e..a33c37f52df905 100644 --- a/docs/api/python/modules/sparknlp/internal/recursive.html +++ b/docs/api/python/modules/sparknlp/internal/recursive.html @@ -7,7 +7,7 @@ - sparknlp.internal.recursive — Spark NLP 6.1.5 documentation + sparknlp.internal.recursive — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/logging/comet.html b/docs/api/python/modules/sparknlp/logging/comet.html index d45aca91cb0dcb..efd5f919c80ab0 100644 --- a/docs/api/python/modules/sparknlp/logging/comet.html +++ b/docs/api/python/modules/sparknlp/logging/comet.html @@ -7,7 +7,7 @@ - sparknlp.logging.comet — Spark NLP 6.1.5 documentation + sparknlp.logging.comet — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/partition/partition.html b/docs/api/python/modules/sparknlp/partition/partition.html index eea83df78ffe6c..e87c8332dd0027 100644 --- a/docs/api/python/modules/sparknlp/partition/partition.html +++ b/docs/api/python/modules/sparknlp/partition/partition.html @@ -7,7 +7,7 @@ - sparknlp.partition.partition — Spark NLP 6.1.5 documentation + sparknlp.partition.partition — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/partition/partition_properties.html b/docs/api/python/modules/sparknlp/partition/partition_properties.html index 31f4c9fdbae648..97096d86ece2ed 100644 --- a/docs/api/python/modules/sparknlp/partition/partition_properties.html +++ b/docs/api/python/modules/sparknlp/partition/partition_properties.html @@ -7,7 +7,7 @@ - sparknlp.partition.partition_properties — Spark NLP 6.1.5 documentation + sparknlp.partition.partition_properties — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/partition/partition_transformer.html b/docs/api/python/modules/sparknlp/partition/partition_transformer.html index 95b31dab7fdc02..46bde6340bafaa 100644 --- a/docs/api/python/modules/sparknlp/partition/partition_transformer.html +++ b/docs/api/python/modules/sparknlp/partition/partition_transformer.html @@ -7,7 +7,7 @@ - sparknlp.partition.partition_transformer — Spark NLP 6.1.5 documentation + sparknlp.partition.partition_transformer — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/pretrained/pretrained_pipeline.html b/docs/api/python/modules/sparknlp/pretrained/pretrained_pipeline.html index 0d92b752f6a961..57cf62a7c4f054 100644 --- a/docs/api/python/modules/sparknlp/pretrained/pretrained_pipeline.html +++ b/docs/api/python/modules/sparknlp/pretrained/pretrained_pipeline.html @@ -7,7 +7,7 @@ - sparknlp.pretrained.pretrained_pipeline — Spark NLP 6.1.5 documentation + sparknlp.pretrained.pretrained_pipeline — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/pretrained/resource_downloader.html b/docs/api/python/modules/sparknlp/pretrained/resource_downloader.html index e956be60f50c07..30eb75b9377fe9 100644 --- a/docs/api/python/modules/sparknlp/pretrained/resource_downloader.html +++ b/docs/api/python/modules/sparknlp/pretrained/resource_downloader.html @@ -7,7 +7,7 @@ - sparknlp.pretrained.resource_downloader — Spark NLP 6.1.5 documentation + sparknlp.pretrained.resource_downloader — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/pretrained/utils.html b/docs/api/python/modules/sparknlp/pretrained/utils.html index 1e41d5fa6b410f..99dda9b64ea3fa 100644 --- a/docs/api/python/modules/sparknlp/pretrained/utils.html +++ b/docs/api/python/modules/sparknlp/pretrained/utils.html @@ -7,7 +7,7 @@ - sparknlp.pretrained.utils — Spark NLP 6.1.5 documentation + sparknlp.pretrained.utils — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/enums.html b/docs/api/python/modules/sparknlp/reader/enums.html index 28040f88ac108c..7490b4ccf929a4 100644 --- a/docs/api/python/modules/sparknlp/reader/enums.html +++ b/docs/api/python/modules/sparknlp/reader/enums.html @@ -7,7 +7,7 @@ - sparknlp.reader.enums — Spark NLP 6.1.5 documentation + sparknlp.reader.enums — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/pdf_to_text.html b/docs/api/python/modules/sparknlp/reader/pdf_to_text.html index 1cb29a8f440d40..2241af15664de2 100644 --- a/docs/api/python/modules/sparknlp/reader/pdf_to_text.html +++ b/docs/api/python/modules/sparknlp/reader/pdf_to_text.html @@ -7,7 +7,7 @@ - sparknlp.reader.pdf_to_text — Spark NLP 6.1.5 documentation + sparknlp.reader.pdf_to_text — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/reader2doc.html b/docs/api/python/modules/sparknlp/reader/reader2doc.html index b0946a41c1e964..04f2d7e9b8ef92 100644 --- a/docs/api/python/modules/sparknlp/reader/reader2doc.html +++ b/docs/api/python/modules/sparknlp/reader/reader2doc.html @@ -7,7 +7,7 @@ - sparknlp.reader.reader2doc — Spark NLP 6.1.5 documentation + sparknlp.reader.reader2doc — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/reader2image.html b/docs/api/python/modules/sparknlp/reader/reader2image.html index 61d85a42f5f019..4e450afcfb686f 100644 --- a/docs/api/python/modules/sparknlp/reader/reader2image.html +++ b/docs/api/python/modules/sparknlp/reader/reader2image.html @@ -7,7 +7,7 @@ - sparknlp.reader.reader2image — Spark NLP 6.1.5 documentation + sparknlp.reader.reader2image — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/reader2table.html b/docs/api/python/modules/sparknlp/reader/reader2table.html index 4dea7bff69546c..0f7c24d263eb0a 100644 --- a/docs/api/python/modules/sparknlp/reader/reader2table.html +++ b/docs/api/python/modules/sparknlp/reader/reader2table.html @@ -7,7 +7,7 @@ - sparknlp.reader.reader2table — Spark NLP 6.1.5 documentation + sparknlp.reader.reader2table — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/reader_assembler.html b/docs/api/python/modules/sparknlp/reader/reader_assembler.html index 32f0a7494b0817..506334cbff732a 100644 --- a/docs/api/python/modules/sparknlp/reader/reader_assembler.html +++ b/docs/api/python/modules/sparknlp/reader/reader_assembler.html @@ -7,7 +7,7 @@ - sparknlp.reader.reader_assembler — Spark NLP 6.1.5 documentation + sparknlp.reader.reader_assembler — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/reader/sparknlp_reader.html b/docs/api/python/modules/sparknlp/reader/sparknlp_reader.html index 9dedfb29fea8fc..ae00ed8b0934a7 100644 --- a/docs/api/python/modules/sparknlp/reader/sparknlp_reader.html +++ b/docs/api/python/modules/sparknlp/reader/sparknlp_reader.html @@ -7,7 +7,7 @@ - sparknlp.reader.sparknlp_reader — Spark NLP 6.1.5 documentation + sparknlp.reader.sparknlp_reader — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/training/conll.html b/docs/api/python/modules/sparknlp/training/conll.html index 67394e437ec76c..14cc3b4d035dd3 100644 --- a/docs/api/python/modules/sparknlp/training/conll.html +++ b/docs/api/python/modules/sparknlp/training/conll.html @@ -7,7 +7,7 @@ - sparknlp.training.conll — Spark NLP 6.1.5 documentation + sparknlp.training.conll — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/training/conllu.html b/docs/api/python/modules/sparknlp/training/conllu.html index 38ac917272321e..59268ff896d01f 100644 --- a/docs/api/python/modules/sparknlp/training/conllu.html +++ b/docs/api/python/modules/sparknlp/training/conllu.html @@ -7,7 +7,7 @@ - sparknlp.training.conllu — Spark NLP 6.1.5 documentation + sparknlp.training.conllu — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/training/pos.html b/docs/api/python/modules/sparknlp/training/pos.html index 08a2fb9307ef8b..08d988d631a9f7 100644 --- a/docs/api/python/modules/sparknlp/training/pos.html +++ b/docs/api/python/modules/sparknlp/training/pos.html @@ -7,7 +7,7 @@ - sparknlp.training.pos — Spark NLP 6.1.5 documentation + sparknlp.training.pos — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/training/pub_tator.html b/docs/api/python/modules/sparknlp/training/pub_tator.html index b6d6c596fd067b..fc1f56e6f404e1 100644 --- a/docs/api/python/modules/sparknlp/training/pub_tator.html +++ b/docs/api/python/modules/sparknlp/training/pub_tator.html @@ -7,7 +7,7 @@ - sparknlp.training.pub_tator — Spark NLP 6.1.5 documentation + sparknlp.training.pub_tator — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/training/spacy_to_annotation.html b/docs/api/python/modules/sparknlp/training/spacy_to_annotation.html index a3625cef4bd193..d900e7a727e0c3 100644 --- a/docs/api/python/modules/sparknlp/training/spacy_to_annotation.html +++ b/docs/api/python/modules/sparknlp/training/spacy_to_annotation.html @@ -7,7 +7,7 @@ - sparknlp.training.spacy_to_annotation — Spark NLP 6.1.5 documentation + sparknlp.training.spacy_to_annotation — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/training/tfgraphs.html b/docs/api/python/modules/sparknlp/training/tfgraphs.html index 35f727fb2c559a..2f21b30bfe618d 100644 --- a/docs/api/python/modules/sparknlp/training/tfgraphs.html +++ b/docs/api/python/modules/sparknlp/training/tfgraphs.html @@ -7,7 +7,7 @@ - sparknlp.training.tfgraphs — Spark NLP 6.1.5 documentation + sparknlp.training.tfgraphs — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/upload_to_hub.html b/docs/api/python/modules/sparknlp/upload_to_hub.html index bdf11a470aadd4..04ee5068692351 100644 --- a/docs/api/python/modules/sparknlp/upload_to_hub.html +++ b/docs/api/python/modules/sparknlp/upload_to_hub.html @@ -7,7 +7,7 @@ - sparknlp.upload_to_hub — Spark NLP 6.1.5 documentation + sparknlp.upload_to_hub — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/modules/sparknlp/util.html b/docs/api/python/modules/sparknlp/util.html index 6b3edfd67f3a92..cb0567cbdeb881 100644 --- a/docs/api/python/modules/sparknlp/util.html +++ b/docs/api/python/modules/sparknlp/util.html @@ -7,7 +7,7 @@ - sparknlp.util — Spark NLP 6.1.5 documentation + sparknlp.util — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -121,8 +121,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/objects.inv b/docs/api/python/objects.inv index 7e1702ad686618..fc785151af1f6a 100644 Binary files a/docs/api/python/objects.inv and b/docs/api/python/objects.inv differ diff --git a/docs/api/python/py-modindex.html b/docs/api/python/py-modindex.html index 7067fecd7e6077..d10feb7b1a0415 100644 --- a/docs/api/python/py-modindex.html +++ b/docs/api/python/py-modindex.html @@ -7,7 +7,7 @@ - Python Module Index — Spark NLP 6.1.5 documentation + Python Module Index — Spark NLP 6.2.0 documentation @@ -36,7 +36,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -1431,6 +1431,11 @@

Python Module Index

    sparknlp.common.annotator_type + + +     + sparknlp.common.completion_post_processing +     diff --git a/docs/api/python/reference/autosummary/sparknlp/annotation/index.html b/docs/api/python/reference/autosummary/sparknlp/annotation/index.html index c38260a1e5c972..c99e073e9a0eb5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotation/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotation/index.html @@ -8,7 +8,7 @@ - sparknlp.annotation — Spark NLP 6.1.5 documentation + sparknlp.annotation — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotation_audio/index.html b/docs/api/python/reference/autosummary/sparknlp/annotation_audio/index.html index f9350f0af6a69f..d1bd4588f638a7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotation_audio/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotation_audio/index.html @@ -8,7 +8,7 @@ - sparknlp.annotation_audio — Spark NLP 6.1.5 documentation + sparknlp.annotation_audio — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotation_image/index.html b/docs/api/python/reference/autosummary/sparknlp/annotation_image/index.html index 5aaf9e97d58f8a..d1de81b2101e26 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotation_image/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotation_image/index.html @@ -8,7 +8,7 @@ - sparknlp.annotation_image — Spark NLP 6.1.5 documentation + sparknlp.annotation_image — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index.html index 3cd9ecc9b20890..79e05cded6bf80 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.audio.hubert_for_ctc — Spark NLP 6.1.5 documentation + sparknlp.annotator.audio.hubert_for_ctc — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/index.html index 7c7e4c48212266..9ea401787656fe 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.audio — Spark NLP 6.1.5 documentation + sparknlp.annotator.audio — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.html index 5a7bbcabfa30bd..c292c4b57159e6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.audio.wav2vec2_for_ctc — Spark NLP 6.1.5 documentation + sparknlp.annotator.audio.wav2vec2_for_ctc — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index.html index 7eea887daa5438..743d62c211ee48 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.audio.whisper_for_ctc — Spark NLP 6.1.5 documentation + sparknlp.annotator.audio.whisper_for_ctc — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/chunk2_doc/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/chunk2_doc/index.html index 421a286e5ff505..2af19b40b3ddbf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/chunk2_doc/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/chunk2_doc/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.chunk2_doc — Spark NLP 6.1.5 documentation + sparknlp.annotator.chunk2_doc — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/chunker/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/chunker/index.html index 618259bf743e9d..08d919e0bf72e0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/chunker/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/chunker/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.chunker — Spark NLP 6.1.5 documentation + sparknlp.annotator.chunker — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index.html index b01dfb58b090ee..11ba8118fb63d5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.albert_for_multiple_choice — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.albert_for_multiple_choice — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.html index 0ca358e84b60fe..88c850eac44b13 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.albert_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.albert_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.html index 0a46785f77a06d..6eca28cf741cda 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.albert_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.albert_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html index c4231601d1e57a..2eea3504085f3b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.albert_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.albert_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index.html index 4d5265f4c8918e..f8d2f669e7c500 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index.html index e7a1e7ac25d269..e78da0187b1904 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index.html index 2b137de49daa90..dc9dde345715d4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.bert_for_multiple_choice — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.bert_for_multiple_choice — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.html index 906a1ecccf1e79..6e573ea4b12ce4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.bert_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.bert_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html index 3d179ba7d2349d..5b11f9d4b86c7b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.bert_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.bert_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html index 98562f8ad70fbc..e3638f69dffdbf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.bert_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.bert_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index.html index f56d7c9e027911..9c02e699ff00df 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index.html index 2980ee839459f3..bc7b6de354c8c1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.camembert_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.camembert_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index.html index d80293de7575a2..4c63f734d10779 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.camembert_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.camembert_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html index ea01e179e517ba..9a30826fdbdb4e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.camembert_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.camembert_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index.html index 87512dcac26200..53e3c17385bea1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html index bbba90cb95ac91..250e0d9c62186b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.classifier_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.classifier_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.html index 8cd29755d8b166..022725eaec20a4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.deberta_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.deberta_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index.html index 6f7ecb319f5108..3b3a8f15d0b4b9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.deberta_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.deberta_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index.html index 6564c2ddca1bc5..d8c55fda152112 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.deberta_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.deberta_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index.html index fee8fbccc2e0c9..445b03b7fd45e1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.html index ef895f3dd06eeb..e12b64c234fc15 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.distil_bert_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.distil_bert_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html index 27fdd4d3a0da4e..ecd73de301f723 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html index 5fd953e9b215e4..5feba4b53b2b88 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.distil_bert_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.distil_bert_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index.html index 3740c6d859af73..aab7987c6e22e1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index.html index 9eac0ae8c6a6bf..3049bf6731a814 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/index.html index 3225bb3ad72feb..85ac96e42daa35 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.html index 035fb41f743099..c00eed63f8fc7e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.longformer_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.longformer_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.html index bf1799042c515a..772bfb4b1fe364 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.longformer_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.longformer_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.html index 1d99ea8d0e30a0..4095c8f3f61d06 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.longformer_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.longformer_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index.html index 20af683173174b..a609df476f53cf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.mpnet_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.mpnet_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index.html index 112d7599766082..38ae0ff1c67642 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index.html index 96d957a83cb39c..d655bb35be92b9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.mpnet_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.mpnet_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html index cbd4dfe1d4233b..7902b487de685a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.multi_classifier_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.multi_classifier_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index.html index 426b146885c9ac..433a49c7610c11 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.roberta_for_multiple_choice — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.roberta_for_multiple_choice — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.html index 56ccd3c59f65ec..034adf1d02f57b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.roberta_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.roberta_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.html index 32716d63d64caa..29af65ec18f221 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.roberta_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.roberta_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html index ce5b872c0d32bd..924f15a126bd7f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.roberta_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.roberta_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index.html index fdb1ef4ce38e5a..74f9d421495e82 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.html index 42c74e2cdd4801..4d23639fb09e19 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.sentiment_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.sentiment_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.html index 90032624e3dc03..b0907dc4ff0d6d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.tapas_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.tapas_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index.html index f494972f8c559b..767c8009223bbb 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.html index 680663f1e1be49..25f778697f5f38 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.html index 6bfeadde8f1665..39381388caeae5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html index 033f8e0edc9036..e95f6ecb2663eb 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index.html index 2f6a6e2ee49d10..116918dc3556ea 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.html index f47a6e1b305f55..4a90e54169bb7b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.html index 31cbd851d07cca..e6c5ca1838720f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.classifier_dl.xlnet_for_token_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.classifier_dl.xlnet_for_token_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/cleaner/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/cleaner/index.html index a72177ea2b5837..5fcb68476a5848 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/cleaner/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/cleaner/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cleaners.cleaner — Spark NLP 6.1.5 documentation + sparknlp.annotator.cleaners.cleaner — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/extractor/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/extractor/index.html index fb76e8e02a13b7..0ec2f2282b154d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/extractor/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/extractor/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cleaners.extractor — Spark NLP 6.1.5 documentation + sparknlp.annotator.cleaners.extractor — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/index.html index bd2a598ef80732..f2f765a673b8ac 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cleaners/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cleaners — Spark NLP 6.1.5 documentation + sparknlp.annotator.cleaners — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/coref/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/coref/index.html index 0708357839c88e..4e628fa3dbc40a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/coref/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/coref/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.coref — Spark NLP 6.1.5 documentation + sparknlp.annotator.coref — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.html index 6f840c45c65831..14d184d6abd007 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.coref.spanbert_coref — Spark NLP 6.1.5 documentation + sparknlp.annotator.coref.spanbert_coref — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index.html index eaac3ce22fd30f..3c264651ad9953 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.blip_for_question_answering — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.blip_for_question_answering — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index.html index 1d6db17eee129e..84fde837e4da8c 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.clip_for_zero_shot_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.clip_for_zero_shot_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index.html index 70e6a4f1ae0c8d..808c0be56eb719 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.convnext_for_image_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.convnext_for_image_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index.html index f9dd00da4c60a8..7abe9da6811bc8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.florence2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.florence2_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index.html index 01f86d54eb006d..856e0e518f6cac 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.gemma3_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.gemma3_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/index.html index cc33a9c98b8338..3d59adfad3a411 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index.html index 4d29928854d79b..f88348685d80ec 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.internvl_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.internvl_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index.html index 40c6c2d8f693f2..0c4507b9b99da5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.janus_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.janus_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index.html index 975ad6a54534ca..889f83a26d0fba 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.llava_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.llava_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index.html index 356d7c92a1a297..bef450be11faa7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.mllama_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.mllama_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index.html index ab6fe42c4e2ad4..3442d061df0438 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.paligemma_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.paligemma_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index.html index 7e93767a7dbc11..5f5a9056e1ab17 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.phi3_vision_for_multimodal — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.phi3_vision_for_multimodal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index.html index 0d9aa4e20f93ea..a68d192ff60c94 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.qwen2vl_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.qwen2vl_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index.html index 474784f3013948..b178d9c005c11a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.smolvlm_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.smolvlm_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index.html index ff0af610ec54bb..86f68eb1ba2283 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.swin_for_image_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.swin_for_image_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index.html index 36f1e464a2d7af..a7038bd0adfcdb 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.html index 96c102b7e85f07..89abe085305bb4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.cv.vit_for_image_classification — Spark NLP 6.1.5 documentation + sparknlp.annotator.cv.vit_for_image_classification — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/dataframe_optimizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/dataframe_optimizer/index.html index f66dc61b12a405..e5e6599ce4274d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/dataframe_optimizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/dataframe_optimizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.dataframe_optimizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.dataframe_optimizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/date2_chunk/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/date2_chunk/index.html index 5dd21bdc433b07..5c3fa54c3679b1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/date2_chunk/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/date2_chunk/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.date2_chunk — Spark NLP 6.1.5 documentation + sparknlp.annotator.date2_chunk — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html index a3c9a89e9edf36..152f8e67d8818e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.dependency.dependency_parser — Spark NLP 6.1.5 documentation + sparknlp.annotator.dependency.dependency_parser — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/index.html index eb4b50df53104f..fd5f0b7a6e635b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.dependency — Spark NLP 6.1.5 documentation + sparknlp.annotator.dependency — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html index 70c8ddcdf01a43..9a13038057cb7e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.dependency.typed_dependency_parser — Spark NLP 6.1.5 documentation + sparknlp.annotator.dependency.typed_dependency_parser — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/document_character_text_splitter/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/document_character_text_splitter/index.html index b364b92ec18612..fae9044a86d2f0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/document_character_text_splitter/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/document_character_text_splitter/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.document_character_text_splitter — Spark NLP 6.1.5 documentation + sparknlp.annotator.document_character_text_splitter — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/document_normalizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/document_normalizer/index.html index d85cf0326ee668..b1763697f63ffa 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/document_normalizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/document_normalizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.document_normalizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.document_normalizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -744,6 +744,16 @@

Classesencoding[source]#
+
+
+presetPattern[source]#
+
+ +
+
+autoMode[source]#
+
+
setAction(value)[source]#
@@ -832,6 +842,34 @@

Classes +
+setPresetPattern(value)[source]#
+

Sets a single text cleaning preset pattern.

+
+
Parameters:
+
+
valuestr

Preset cleaning pattern name, e.g., ‘CLEAN_BULLETS’, ‘CLEAN_DASHES’.

+
+
+
+
+

+ +
+
+setAutoMode(value)[source]#
+

Sets an automatic text cleaning mode using predefined groups of cleaning functions.

+
+
Parameters:
+
+
valuestr

Auto cleaning mode, e.g., ‘light_clean’, ‘document_clean’, ‘social_clean’, ‘html_clean’, ‘full_auto’.

+
+
+
+
+
+ @@ -875,12 +913,16 @@

ClassesDocumentNormalizer.lowercase
  • DocumentNormalizer.policy
  • DocumentNormalizer.encoding
  • +
  • DocumentNormalizer.presetPattern
  • +
  • DocumentNormalizer.autoMode
  • DocumentNormalizer.setAction()
  • DocumentNormalizer.setPatterns()
  • DocumentNormalizer.setReplacement()
  • DocumentNormalizer.setLowercase()
  • DocumentNormalizer.setPolicy()
  • DocumentNormalizer.setEncoding()
  • +
  • DocumentNormalizer.setPresetPattern()
  • +
  • DocumentNormalizer.setAutoMode()
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter/index.html index 69fbc4ccaba27a..ca0f5dd66970bf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.document_token_splitter — Spark NLP 6.1.5 documentation + sparknlp.annotator.document_token_splitter — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter_test/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter_test/index.html index 9895fef8a6f31f..dcc7ce3a59687c 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter_test/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/document_token_splitter_test/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.document_token_splitter_test — Spark NLP 6.1.5 documentation + sparknlp.annotator.document_token_splitter_test — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.html index ced7634a95934f..15ade15220aa44 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.albert_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.albert_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index.html index 85c40c309bd249..b27e6c2b240133 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.auto_gguf_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.auto_gguf_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -1125,6 +1125,12 @@

    Classes +
    +close()[source]#
    +

    Closes the llama.cpp model backend freeing resources. The model is reloaded when used again.

    +
    + @@ -1223,6 +1229,7 @@

    ClassesAutoGGUFEmbeddings.getMetadata()
  • AutoGGUFEmbeddings.loadSavedModel()
  • AutoGGUFEmbeddings.pretrained()
  • +
  • AutoGGUFEmbeddings.close()
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.html index c991c33026e985..4d6e993e31e57e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.bert_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.bert_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.html index 503806ef6f73ce..1e8090c8d1bac9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.bert_sentence_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.bert_sentence_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index.html index 34123c110635ef..f33e6fa5ad4d55 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.bge_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.bge_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.html index 565c7b75178fc5..ba334e3ef4f95e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.camembert_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.camembert_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.html index 8dce54b2c17cd3..2a6d0fe3b84e97 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.chunk_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.chunk_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.html index 57554b34fb161c..6895e07a92c9e9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.deberta_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.deberta_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.html index e900084ca0d9c2..8851b3758b84ce 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.distil_bert_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.distil_bert_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html index d7198a1372ff3d..cc0eb2b6df71cb 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.doc2vec — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.doc2vec — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index.html index 8f1bf521adbd30..f448eae97edb66 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.e5_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.e5_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index.html index a7c68520757d50..e9d382f58ae495 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.e5v_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.e5v_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.html index b0e0e76d15ab68..d1b6f5e45fe385 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.elmo_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.elmo_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/index.html index b91ad11284d8b1..cf2d7190014a2d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index.html index 5c1a1e12b75ce6..06192946cd730b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.instructor_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.instructor_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.html index c2c6f5f0218f62..2fa0fc9d4dcd47 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.longformer_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.longformer_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index.html index 2e9e7523da85d1..63b64d9758f462 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.minilm_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.minilm_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index.html index 43005c587d73a2..135cb11431faa6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.mpnet_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.mpnet_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index.html index 902279ca07ffd9..16c62234d40617 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.mxbai_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.mxbai_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index.html index 2ca3b6878dcee4..7884320e059911 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.nomic_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.nomic_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.html index 7560bdb0ca678a..f8cd8a57dd9ea5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.roberta_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.roberta_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.html index 183da0fde80c3f..2b2cd90eea70df 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.roberta_sentence_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.roberta_sentence_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.html index 6ec085c68b5645..c070da50e3caaf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.sentence_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.sentence_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index.html index 47e4fdef7efaf8..f0929409f8f29e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.snowflake_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.snowflake_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index.html index a2a146eb70cc58..39e1d1d6d8b62b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.uae_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.uae_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.html index b92e2777358fce..e52029a21a7c7a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.universal_sentence_encoder — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.universal_sentence_encoder — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html index cad33c86c458e3..1b421fb5a2899c 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.word2vec — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.word2vec — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.html index cb6ccedc1363ca..787e27ab27b257 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.word_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.word_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.html index 5840537ec4cf15..9a472380d6129b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.xlm_roberta_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.xlm_roberta_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.html index 75a14088805b88..5607d84b9e40e5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.html index 26f983685637cd..a4e2bc3a3d4360 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.embeddings.xlnet_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.embeddings.xlnet_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/er/entity_ruler/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/er/entity_ruler/index.html index 4a05ad24c2a2d2..d531410571505d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/er/entity_ruler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/er/entity_ruler/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.er.entity_ruler — Spark NLP 6.1.5 documentation + sparknlp.annotator.er.entity_ruler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -876,6 +876,16 @@

    ClassesoutputAnnotatorType = 'chunk'[source]#
    +
    +
    +autoMode[source]#
    +
    + +
    +
    +extractEntities[source]#
    +
    +
    static pretrained(name, lang='en', remote_loc=None)[source]#
    @@ -886,6 +896,34 @@

    Classesstatic loadStorage(path, spark, storage_ref)[source]#

    +
    +
    +setAutoMode(value)[source]#
    +

    Sets the auto mode for predefined regex entity groups.

    +
    +
    Parameters:
    +
    +
    valuestr

    Name of the auto mode to activate (e.g., ‘communication_entities’, ‘network_entities’, etc.)

    +
    +
    +
    +
    +
    + +
    +
    +setExtractEntities(value)[source]#
    +

    Sets specific entities to extract, filtering only those defined in regexPatterns or autoMode.

    +
    +
    Parameters:
    +
    +
    valuelist[str]

    List of entity names to extract, e.g., [‘EMAIL_ADDRESS_PATTERN’, ‘IPV4_PATTERN’].

    +
    +
    +
    +
    +
    + @@ -941,8 +979,12 @@

    ClassesEntityRulerModel.inputAnnotatorTypes
  • EntityRulerModel.optionalInputAnnotatorTypes
  • EntityRulerModel.outputAnnotatorType
  • +
  • EntityRulerModel.autoMode
  • +
  • EntityRulerModel.extractEntities
  • EntityRulerModel.pretrained()
  • EntityRulerModel.loadStorage()
  • +
  • EntityRulerModel.setAutoMode()
  • +
  • EntityRulerModel.setExtractEntities()
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/er/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/er/index.html index e2ed90d5abd3c9..d2ad8b99aaad3d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/er/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/er/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.er — Spark NLP 6.1.5 documentation + sparknlp.annotator.er — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/graph_extraction/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/graph_extraction/index.html index e98c29673a95df..ad78d17d28cb1d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/graph_extraction/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/graph_extraction/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.graph_extraction — Spark NLP 6.1.5 documentation + sparknlp.annotator.graph_extraction — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/index.html index bfaef75a468e39..05abeac4ce65b9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator — Spark NLP 6.1.5 documentation + sparknlp.annotator — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/index.html index 3d928c17d8730e..a3b3e62ad46581 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.keyword_extraction — Spark NLP 6.1.5 documentation + sparknlp.annotator.keyword_extraction — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.html index 19d46691425ebe..085836e6de735f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.keyword_extraction.yake_keyword_extraction — Spark NLP 6.1.5 documentation + sparknlp.annotator.keyword_extraction.yake_keyword_extraction — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/index.html index fb465a7ba1f9c9..7535fc0f1f1ce4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ld_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.ld_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.html index c40e6f300e27a1..1c4805fbe13c0f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ld_dl.language_detector_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.ld_dl.language_detector_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html index 148f305ac84ee9..d63cdd6ed54bae 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/lemmatizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.lemmatizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.lemmatizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.html index 5429e6bf7252c6..28d5484499994e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.matcher.big_text_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.big_text_matcher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.html index 11b0a2f4222dce..8a2041f2cc7b7a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.matcher.date_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.date_matcher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/index.html index b76a6c6cd5d322..68446791bcae3d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.html index 3652165dcb3da9..1742498a5dfc0c 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.matcher.multi_date_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.multi_date_matcher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.html index 17231645d9e858..e9aa986695259f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.matcher.regex_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.regex_matcher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.html index 976b56df3c7011..c3ef932cf0f507 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.matcher.text_matcher — Spark NLP 6.1.5 documentation + sparknlp.annotator.matcher.text_matcher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/n_gram_generator/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/n_gram_generator/index.html index 57c906a7fb23ec..687a41f58385e1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/n_gram_generator/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/n_gram_generator/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.n_gram_generator — Spark NLP 6.1.5 documentation + sparknlp.annotator.n_gram_generator — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/index.html index 9c067809414893..e9064b94e80738 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_approach/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_approach/index.html index 5769de7d8b2cc8..7b4d5143657383 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_approach/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_approach/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.ner_approach — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_approach — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_converter/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_converter/index.html index e21c0b82750172..d6652b8391f93d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_converter/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_converter/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.ner_converter — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_converter — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html index 95aa0dce80dc9a..4a14cce36b89ff 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_crf/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.ner_crf — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_crf — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html index cfe51f8be2ea5d..778d6ae980a8d6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.ner_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index.html index 648c77a33bf8f7..b80a7d68533bf9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.ner_dl_graph_checker — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_dl_graph_checker — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.html index db07fbbeedce0d..aa285523531411 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.ner_overwriter — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.ner_overwriter — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index.html index 827a3080a25a5f..d1a140928ae7ac 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ner.zero_shot_ner_model — Spark NLP 6.1.5 documentation + sparknlp.annotator.ner.zero_shot_ner_model — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/normalizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/normalizer/index.html index 383091eac47b9b..6b17ccdb9be476 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/normalizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/normalizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.normalizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.normalizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/openai/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/openai/index.html index 2d798b33089de0..e2d2809f8ea243 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/openai/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/openai/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.openai — Spark NLP 6.1.5 documentation + sparknlp.annotator.openai — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_completion/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_completion/index.html index cc8013e85c689e..117fe674f3c0e7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_completion/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_completion/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.openai.openai_completion — Spark NLP 6.1.5 documentation + sparknlp.annotator.openai.openai_completion — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index.html index 42de2beeda7435..dd05689a2252e7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.openai.openai_embeddings — Spark NLP 6.1.5 documentation + sparknlp.annotator.openai.openai_embeddings — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/param/classifier_encoder/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/param/classifier_encoder/index.html index f005865100b52f..e5b388df08f12a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/param/classifier_encoder/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/param/classifier_encoder/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.param.classifier_encoder — Spark NLP 6.1.5 documentation + sparknlp.annotator.param.classifier_encoder — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index.html index 3ab1d55470923f..d86da49e4d5af8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.param.evaluation_dl_params — Spark NLP 6.1.5 documentation + sparknlp.annotator.param.evaluation_dl_params — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/param/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/param/index.html index 669cd3733102cc..6ecc62895305c5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/param/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/param/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.param — Spark NLP 6.1.5 documentation + sparknlp.annotator.param — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/pos/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/pos/index.html index 2affd7513761ca..9f7c7c7cac9de4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/pos/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/pos/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.pos — Spark NLP 6.1.5 documentation + sparknlp.annotator.pos — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html index 57968a593171f6..bd3da5dc2d0862 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/pos/perceptron/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.pos.perceptron — Spark NLP 6.1.5 documentation + sparknlp.annotator.pos.perceptron — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/index.html index 118a49e9625d1c..b648e54b62bf7e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.sentence — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentence — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.html index 2723fff02d1b9c..db26e431b241b0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.sentence.sentence_detector — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentence.sentence_detector — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html index b3cd9b6b6af8bf..47a79385e5f3ec 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.sentence.sentence_detector_dl — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentence.sentence_detector_dl — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/index.html index db6072423cf77f..f25328218e0024 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.sentiment — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentiment — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.html index e9a4ba7ad6e4dc..5327ab2db38719 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.sentiment.sentiment_detector — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentiment.sentiment_detector — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html index 98d6c578211443..d0498c70e47ac7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.sentiment.vivekn_sentiment — Spark NLP 6.1.5 documentation + sparknlp.annotator.sentiment.vivekn_sentiment — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index.html index 3e50fed586f2cc..fc111b29d2aeb8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.auto_gguf_model — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.auto_gguf_model — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -902,6 +902,12 @@

    Classes +
    +close()[source]#
    +

    Closes the llama.cpp model backend freeing resources. The model is reloaded when used again.

    +
    + @@ -942,6 +948,7 @@

    ClassesAutoGGUFModel.outputAnnotatorType
  • AutoGGUFModel.loadSavedModel()
  • AutoGGUFModel.pretrained()
  • +
  • AutoGGUFModel.close()
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index.html index 21999640e8a6a1..8a76c16a7303e4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.auto_gguf_reranker — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.auto_gguf_reranker — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -939,6 +939,12 @@

    Classes +
    +close()[source]#
    +

    Closes the llama.cpp model backend freeing resources. The model is reloaded when used again.

    +
    + @@ -982,6 +988,7 @@

    ClassesAutoGGUFReranker.getQuery()
  • AutoGGUFReranker.loadSavedModel()
  • AutoGGUFReranker.pretrained()
  • +
  • AutoGGUFReranker.close()
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index.html index e67a61388c34ca..2a58c17d2d45f0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.auto_gguf_vision_model — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.auto_gguf_vision_model — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -902,6 +902,12 @@

    Classes +
    +close()[source]#
    +

    Closes the llama.cpp model backend freeing resources. The model is reloaded when used again.

    +
    + @@ -942,6 +948,7 @@

    ClassesAutoGGUFVisionModel.outputAnnotatorType
  • AutoGGUFVisionModel.loadSavedModel()
  • AutoGGUFVisionModel.pretrained()
  • +
  • AutoGGUFVisionModel.close()
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index.html index 0aa4b9539484dd..571862a2e7a552 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.bart_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.bart_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index.html index 8bce2e45ff08e8..0fe4f58db5d9bb 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.cohere_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.cohere_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index.html index 9d52d0ed766706..22db32d439bb51 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.cpm_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.cpm_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.html index 5fd8029e3feec5..1b5903aabfcd3c 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.gpt2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.gpt2_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/index.html index bcf1ef5aeb5da3..89cefd3bc48d92 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index.html index 859a7237e61501..788d786c13bccb 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.llama2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.llama2_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index.html index 407dde0f55592e..210a4b3ca8fea1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.llama3_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.llama3_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index.html index 1ef0cfd506d659..22ef814ed6308b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.m2m100_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.m2m100_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.html index 140232babf2137..944ab256c66ccd 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.marian_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.marian_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index.html index f9107b1ef4ceaa..093b72a0bb4a30 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.mistral_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.mistral_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index.html index 0c5e82c605b947..fe74705a69e1d6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.nllb_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.nllb_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index.html index 41539e9bd6f285..cf3ba239465227 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.olmo_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.olmo_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index.html index ffa84dc5970ed0..4a269d6158c60e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.phi2_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.phi2_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index.html index 984d811e45dcd2..70e4efa2b84c3a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.phi3_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.phi3_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index.html index 027a383e6d471c..57e549e97c778f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.phi4_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.phi4_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index.html index 9a72ccbd95e323..ab5cdd76df69d6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.qwen_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.qwen_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index.html index 026a81f2fb8fa4..32f8d006f137f7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.starcoder_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.starcoder_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.html index 6278ae03149371..f68b81c92b041f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.seq2seq.t5_transformer — Spark NLP 6.1.5 documentation + sparknlp.annotator.seq2seq.t5_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index.html index 3ecd60b0ef8718..dccc2c6dc79aa6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.similarity.document_similarity_ranker — Spark NLP 6.1.5 documentation + sparknlp.annotator.similarity.document_similarity_ranker — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/index.html index dc56b4cf9f0c95..318900ea09a291 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/similarity/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.similarity — Spark NLP 6.1.5 documentation + sparknlp.annotator.similarity — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html index c295ad07ad2a03..d175fdaa0e26d7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.spell_check.context_spell_checker — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check.context_spell_checker — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/index.html index 9b8ba300a8f8ce..1ee7e27f06c681 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.spell_check — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html index b4512b779f496f..cb4a9af8a677c2 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.spell_check.norvig_sweeting — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check.norvig_sweeting — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html index 910e7d9c737a6c..7e616e4479d30b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.spell_check.symmetric_delete — Spark NLP 6.1.5 documentation + sparknlp.annotator.spell_check.symmetric_delete — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/stemmer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/stemmer/index.html index 52dd261b1fb867..34222d6c896128 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/stemmer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/stemmer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.stemmer — Spark NLP 6.1.5 documentation + sparknlp.annotator.stemmer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.html index a7ab4c6ee6d8c7..4accbaa438a30a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.stop_words_cleaner — Spark NLP 6.1.5 documentation + sparknlp.annotator.stop_words_cleaner — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index.html index d91c820d3f37c6..5d3a431f20b38e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.tf_ner_dl_graph_builder — Spark NLP 6.1.5 documentation + sparknlp.annotator.tf_ner_dl_graph_builder — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.html index 9ede986640b376..77b7b37a1e7979 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.token.chunk_tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.chunk_tokenizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/token/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/token/index.html index f103ca17dd7c7b..073d8f3d794dfd 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/token/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/token/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.token — Spark NLP 6.1.5 documentation + sparknlp.annotator.token — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.html index 5ec1ed23944ae6..9db602e7b89078 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.token.recursive_tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.recursive_tokenizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.html index 6a8fc6c9216202..90bfc692bffb48 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.token.regex_tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.regex_tokenizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/token/tokenizer/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/token/tokenizer/index.html index 769f0720a8956d..587d440f285100 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/token/tokenizer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/token/tokenizer/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.token.tokenizer — Spark NLP 6.1.5 documentation + sparknlp.annotator.token.tokenizer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/token2_chunk/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/token2_chunk/index.html index 3c725fa4ed1eda..e5fb3838aeeeb0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/token2_chunk/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/token2_chunk/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.token2_chunk — Spark NLP 6.1.5 documentation + sparknlp.annotator.token2_chunk — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ws/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ws/index.html index edbf0a676a59de..97caebcb679c7b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ws/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ws/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ws — Spark NLP 6.1.5 documentation + sparknlp.annotator.ws — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html b/docs/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html index deb1f0a2f2b9b5..2d89005b21d5b2 100644 --- a/docs/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.html @@ -8,7 +8,7 @@ - sparknlp.annotator.ws.word_segmenter — Spark NLP 6.1.5 documentation + sparknlp.annotator.ws.word_segmenter — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/audio_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/audio_assembler/index.html index 33faa147f7f853..6d796bfd35febf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/audio_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/audio_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.audio_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.audio_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/doc2_chunk/index.html b/docs/api/python/reference/autosummary/sparknlp/base/doc2_chunk/index.html index a6dd96c6d46442..f3b1a9851c6036 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/doc2_chunk/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/doc2_chunk/index.html @@ -8,7 +8,7 @@ - sparknlp.base.doc2_chunk — Spark NLP 6.1.5 documentation + sparknlp.base.doc2_chunk — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/document_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/document_assembler/index.html index 896d0ccad2d2f4..c713edb61eef5a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/document_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/document_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.document_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.document_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/embeddings_finisher/index.html b/docs/api/python/reference/autosummary/sparknlp/base/embeddings_finisher/index.html index afa79a05eab84b..ee43beae59b16b 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/embeddings_finisher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/embeddings_finisher/index.html @@ -8,7 +8,7 @@ - sparknlp.base.embeddings_finisher — Spark NLP 6.1.5 documentation + sparknlp.base.embeddings_finisher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/finisher/index.html b/docs/api/python/reference/autosummary/sparknlp/base/finisher/index.html index 7ce8ab8403f39b..62ada2972afef8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/finisher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/finisher/index.html @@ -8,7 +8,7 @@ - sparknlp.base.finisher — Spark NLP 6.1.5 documentation + sparknlp.base.finisher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/gguf_ranking_finisher/index.html b/docs/api/python/reference/autosummary/sparknlp/base/gguf_ranking_finisher/index.html index 14b11cf5c7740d..95d9eb90c4d796 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/gguf_ranking_finisher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/gguf_ranking_finisher/index.html @@ -8,7 +8,7 @@ - sparknlp.base.gguf_ranking_finisher — Spark NLP 6.1.5 documentation + sparknlp.base.gguf_ranking_finisher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/graph_finisher/index.html b/docs/api/python/reference/autosummary/sparknlp/base/graph_finisher/index.html index bf37b9edc411b8..9b5c6cbd54cbf9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/graph_finisher/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/graph_finisher/index.html @@ -8,7 +8,7 @@ - sparknlp.base.graph_finisher — Spark NLP 6.1.5 documentation + sparknlp.base.graph_finisher — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_fit/index.html b/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_fit/index.html index 5ddf26f17892d4..562d21dd923525 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_fit/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_fit/index.html @@ -8,7 +8,7 @@ - sparknlp.base.has_recursive_fit — Spark NLP 6.1.5 documentation + sparknlp.base.has_recursive_fit — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_transform/index.html b/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_transform/index.html index 31214e9af6d713..6ce977bc2842f8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_transform/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/has_recursive_transform/index.html @@ -8,7 +8,7 @@ - sparknlp.base.has_recursive_transform — Spark NLP 6.1.5 documentation + sparknlp.base.has_recursive_transform — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/image_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/image_assembler/index.html index 3df833d2a5210e..814c24e8761e42 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/image_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/image_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.image_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.image_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/index.html b/docs/api/python/reference/autosummary/sparknlp/base/index.html index 8c1e39e46c94f2..94947fc19642cf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/index.html @@ -8,7 +8,7 @@ - sparknlp.base — Spark NLP 6.1.5 documentation + sparknlp.base — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/light_pipeline/index.html b/docs/api/python/reference/autosummary/sparknlp/base/light_pipeline/index.html index b77a8227d3fa2d..cc7b1aa693921a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/light_pipeline/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/light_pipeline/index.html @@ -8,7 +8,7 @@ - sparknlp.base.light_pipeline — Spark NLP 6.1.5 documentation + sparknlp.base.light_pipeline — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/multi_document_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/multi_document_assembler/index.html index c7cfd23e3e5a5f..f12a69d72dcbad 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/multi_document_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/multi_document_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.multi_document_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.multi_document_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/prompt_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/prompt_assembler/index.html index e4f5071991f8e3..cebeb8f0c5d89f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/prompt_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/prompt_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.prompt_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.prompt_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/recursive_pipeline/index.html b/docs/api/python/reference/autosummary/sparknlp/base/recursive_pipeline/index.html index a6bb526d6bc774..4914a5b84e0420 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/recursive_pipeline/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/recursive_pipeline/index.html @@ -8,7 +8,7 @@ - sparknlp.base.recursive_pipeline — Spark NLP 6.1.5 documentation + sparknlp.base.recursive_pipeline — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/table_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/table_assembler/index.html index 5f25ca36607277..3e05b70b2dbcc7 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/table_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/table_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.table_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.table_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/base/token_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/base/token_assembler/index.html index 4995592fa20f2d..a12f52a0cba2a0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/base/token_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/base/token_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.base.token_assembler — Spark NLP 6.1.5 documentation + sparknlp.base.token_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/common/annotator_approach/index.html b/docs/api/python/reference/autosummary/sparknlp/common/annotator_approach/index.html index a03046942ec6f4..c7b873fa9d0102 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/annotator_approach/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/annotator_approach/index.html @@ -8,7 +8,7 @@ - sparknlp.common.annotator_approach — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_approach — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/annotator_model/index.html b/docs/api/python/reference/autosummary/sparknlp/common/annotator_model/index.html index b057eb7b5fbc12..c75ad436d971ec 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/annotator_model/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/annotator_model/index.html @@ -8,7 +8,7 @@ - sparknlp.common.annotator_model — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_model — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/annotator_properties/index.html b/docs/api/python/reference/autosummary/sparknlp/common/annotator_properties/index.html index 26b39d73381453..ffd65157427c65 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/annotator_properties/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/annotator_properties/index.html @@ -8,7 +8,7 @@ - sparknlp.common.annotator_properties — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_properties — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/annotator_type/index.html b/docs/api/python/reference/autosummary/sparknlp/common/annotator_type/index.html index 6140b493188420..b4476d7d9afb52 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/annotator_type/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/annotator_type/index.html @@ -8,7 +8,7 @@ - sparknlp.common.annotator_type — Spark NLP 6.1.5 documentation + sparknlp.common.annotator_type — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/completion_post_processing/index.html b/docs/api/python/reference/autosummary/sparknlp/common/completion_post_processing/index.html new file mode 100644 index 00000000000000..17e67fd6c95d6a --- /dev/null +++ b/docs/api/python/reference/autosummary/sparknlp/common/completion_post_processing/index.html @@ -0,0 +1,529 @@ + + + + + + + + + + + sparknlp.common.completion_post_processing — Spark NLP 6.2.0 documentation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + +
    +
    +
    +
    +
    + + + +
    +
    + +
    + + + + + + + + + + + + + +
    + +
    + + +
    +
    + +
    +
    + +
    + +
    + + + + +
    + +
    + + +
    +
    + + + + + + + + + + + +
    + +
    +
    +
    + +
    + + + + + + +
    +
    + +
    + +
    +
    +
    + + + + + + + + \ No newline at end of file diff --git a/docs/api/python/reference/autosummary/sparknlp/common/coverage_result/index.html b/docs/api/python/reference/autosummary/sparknlp/common/coverage_result/index.html index bf142f8fb406cf..d085133b544314 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/coverage_result/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/coverage_result/index.html @@ -8,7 +8,7 @@ - sparknlp.common.coverage_result — Spark NLP 6.1.5 documentation + sparknlp.common.coverage_result — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/index.html b/docs/api/python/reference/autosummary/sparknlp/common/index.html index 2083ae01888007..206f22d1442639 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/index.html @@ -8,7 +8,7 @@ - sparknlp.common — Spark NLP 6.1.5 documentation + sparknlp.common — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • @@ -390,6 +391,7 @@

    Submodulessparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/match_strategy/index.html b/docs/api/python/reference/autosummary/sparknlp/common/match_strategy/index.html index 7de785748166a7..b588acf806779e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/match_strategy/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/match_strategy/index.html @@ -8,7 +8,7 @@ - sparknlp.common.match_strategy — Spark NLP 6.1.5 documentation + sparknlp.common.match_strategy — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/properties/index.html b/docs/api/python/reference/autosummary/sparknlp/common/properties/index.html index f0cc72e2d46152..255490cced22da 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/properties/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/properties/index.html @@ -8,7 +8,7 @@ - sparknlp.common.properties — Spark NLP 6.1.5 documentation + sparknlp.common.properties — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html b/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html index 13b52c519066c2..497eefb40a149f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/read_as/index.html @@ -8,7 +8,7 @@ - sparknlp.common.read_as — Spark NLP 6.1.5 documentation + sparknlp.common.read_as — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html b/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html index 098d41ab264fb2..80ba6c3097f1f5 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/recursive_annotator_approach/index.html @@ -8,7 +8,7 @@ - sparknlp.common.recursive_annotator_approach — Spark NLP 6.1.5 documentation + sparknlp.common.recursive_annotator_approach — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html b/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html index 0dc9b5dcd65c81..15279d6c238acc 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/storage/index.html @@ -8,7 +8,7 @@ - sparknlp.common.storage — Spark NLP 6.1.5 documentation + sparknlp.common.storage — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html b/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html index f3929f0ae3ca1a..7f30bb7559d8d0 100644 --- a/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/common/utils/index.html @@ -8,7 +8,7 @@ - sparknlp.common.utils — Spark NLP 6.1.5 documentation + sparknlp.common.utils — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -318,6 +318,7 @@
  • sparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/functions/index.html b/docs/api/python/reference/autosummary/sparknlp/functions/index.html index 7d8aebd6cb78da..869c8cf82da690 100644 --- a/docs/api/python/reference/autosummary/sparknlp/functions/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/functions/index.html @@ -8,7 +8,7 @@ - sparknlp.functions — Spark NLP 6.1.5 documentation + sparknlp.functions — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/index.html b/docs/api/python/reference/autosummary/sparknlp/index.html index f4cf45a4f2c073..6a620fb2366a9f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/index.html @@ -8,7 +8,7 @@ - sparknlp — Spark NLP 6.1.5 documentation + sparknlp — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + @@ -428,6 +428,7 @@

    Subpackagessparknlp.common.annotator_model
  • sparknlp.common.annotator_properties
  • sparknlp.common.annotator_type
  • +
  • sparknlp.common.completion_post_processing
  • sparknlp.common.coverage_result
  • sparknlp.common.match_strategy
  • sparknlp.common.properties
  • diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html index ed24d4ab834bd3..7e9c6c1384370c 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_java_ml/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.annotator_java_ml — Spark NLP 6.1.5 documentation + sparknlp.internal.annotator_java_ml — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html index b6632cc7c0c3d7..08e2541fd39dff 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/annotator_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.annotator_transformer — Spark NLP 6.1.5 documentation + sparknlp.internal.annotator_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html index 2ffd6338b4b775..d8e40086b6dcbf 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/extended_java_wrapper/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.extended_java_wrapper — Spark NLP 6.1.5 documentation + sparknlp.internal.extended_java_wrapper — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/index.html index 2e7081fa6f9202..a4e16bcb0039f6 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/index.html @@ -8,7 +8,7 @@ - sparknlp.internal — Spark NLP 6.1.5 documentation + sparknlp.internal — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html index 774611d2e74edf..712981e378c026 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/params_getters_setters/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.params_getters_setters — Spark NLP 6.1.5 documentation + sparknlp.internal.params_getters_setters — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html b/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html index bd11cb0b0e2a50..9415a9f1fb9292 100644 --- a/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/internal/recursive/index.html @@ -8,7 +8,7 @@ - sparknlp.internal.recursive — Spark NLP 6.1.5 documentation + sparknlp.internal.recursive — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html b/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html index 6ad9385408b293..285fa0aa13da0a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/logging/comet/index.html @@ -8,7 +8,7 @@ - sparknlp.logging.comet — Spark NLP 6.1.5 documentation + sparknlp.logging.comet — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/logging/index.html b/docs/api/python/reference/autosummary/sparknlp/logging/index.html index 4af4b302aaf0d6..458a3ccb27eb53 100644 --- a/docs/api/python/reference/autosummary/sparknlp/logging/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/logging/index.html @@ -8,7 +8,7 @@ - sparknlp.logging — Spark NLP 6.1.5 documentation + sparknlp.logging — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/index.html index af209013ac5875..4ac4c8ed94e601 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/index.html @@ -8,7 +8,7 @@ - sparknlp.partition — Spark NLP 6.1.5 documentation + sparknlp.partition — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html index 5107d029ec8bf1..066749db4c3614 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/partition/index.html @@ -8,7 +8,7 @@ - sparknlp.partition.partition — Spark NLP 6.1.5 documentation + sparknlp.partition.partition — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html index 99ee73db9f4baf..98d6a01a299e70 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/partition_properties/index.html @@ -8,7 +8,7 @@ - sparknlp.partition.partition_properties — Spark NLP 6.1.5 documentation + sparknlp.partition.partition_properties — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html b/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html index 7f0f4b4c8603df..cec5c30025598d 100644 --- a/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/partition/partition_transformer/index.html @@ -8,7 +8,7 @@ - sparknlp.partition.partition_transformer — Spark NLP 6.1.5 documentation + sparknlp.partition.partition_transformer — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html index f68bbd1e7e65e0..11a5aac417fa64 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained — Spark NLP 6.1.5 documentation + sparknlp.pretrained — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html index e8b369819b25f8..ff7ace46ad7b1f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained.pretrained_pipeline — Spark NLP 6.1.5 documentation + sparknlp.pretrained.pretrained_pipeline — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html index 8a807746efe25b..6bcf10b2971ada 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/resource_downloader/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained.resource_downloader — Spark NLP 6.1.5 documentation + sparknlp.pretrained.resource_downloader — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html b/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html index 53ca4f955dca31..be0bfb100ac2d9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/pretrained/utils/index.html @@ -8,7 +8,7 @@ - sparknlp.pretrained.utils — Spark NLP 6.1.5 documentation + sparknlp.pretrained.utils — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html index 971b3a7ae7dd44..c89817e11dff1a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/enums/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.enums — Spark NLP 6.1.5 documentation + sparknlp.reader.enums — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/index.html index 2e229b703a990b..e68ea92d1b4709 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/index.html @@ -8,7 +8,7 @@ - sparknlp.reader — Spark NLP 6.1.5 documentation + sparknlp.reader — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html index f4f04d85e86a8c..50a6823af29705 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/pdf_to_text/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.pdf_to_text — Spark NLP 6.1.5 documentation + sparknlp.reader.pdf_to_text — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html index aee0b534dd8e00..3bb4eb7e5da3f4 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/reader2doc/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.reader2doc — Spark NLP 6.1.5 documentation + sparknlp.reader.reader2doc — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/reader2image/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/reader2image/index.html index cc34e5dbcc375c..c584943e689f2f 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/reader2image/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/reader2image/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.reader2image — Spark NLP 6.1.5 documentation + sparknlp.reader.reader2image — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/reader2table/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/reader2table/index.html index 6dbf76f731cbf7..eec99bad3d7119 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/reader2table/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/reader2table/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.reader2table — Spark NLP 6.1.5 documentation + sparknlp.reader.reader2table — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/reader_assembler/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/reader_assembler/index.html index 455b606cb01ac0..581bfd4a217289 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/reader_assembler/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/reader_assembler/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.reader_assembler — Spark NLP 6.1.5 documentation + sparknlp.reader.reader_assembler — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html b/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html index d58b36254ea33b..8d34b4b9da917a 100644 --- a/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/reader/sparknlp_reader/index.html @@ -8,7 +8,7 @@ - sparknlp.reader.sparknlp_reader — Spark NLP 6.1.5 documentation + sparknlp.reader.sparknlp_reader — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/conll/index.html b/docs/api/python/reference/autosummary/sparknlp/training/conll/index.html index e79023e40d982b..1a75477362bda9 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/conll/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/conll/index.html @@ -8,7 +8,7 @@ - sparknlp.training.conll — Spark NLP 6.1.5 documentation + sparknlp.training.conll — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/conllu/index.html b/docs/api/python/reference/autosummary/sparknlp/training/conllu/index.html index 71bc9a3dee367b..ba91f0f0532ff8 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/conllu/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/conllu/index.html @@ -8,7 +8,7 @@ - sparknlp.training.conllu — Spark NLP 6.1.5 documentation + sparknlp.training.conllu — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/index.html b/docs/api/python/reference/autosummary/sparknlp/training/index.html index dbae25ca72830c..326443b712edd1 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/index.html @@ -8,7 +8,7 @@ - sparknlp.training — Spark NLP 6.1.5 documentation + sparknlp.training — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/pos/index.html b/docs/api/python/reference/autosummary/sparknlp/training/pos/index.html index 7ced59cd6c9043..a789fae0201507 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/pos/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/pos/index.html @@ -8,7 +8,7 @@ - sparknlp.training.pos — Spark NLP 6.1.5 documentation + sparknlp.training.pos — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/pub_tator/index.html b/docs/api/python/reference/autosummary/sparknlp/training/pub_tator/index.html index 4ec9836d5230fe..7afaee52f2b127 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/pub_tator/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/pub_tator/index.html @@ -8,7 +8,7 @@ - sparknlp.training.pub_tator — Spark NLP 6.1.5 documentation + sparknlp.training.pub_tator — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/spacy_to_annotation/index.html b/docs/api/python/reference/autosummary/sparknlp/training/spacy_to_annotation/index.html index 1c553c72f732e2..6364c29ed97e23 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/spacy_to_annotation/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/spacy_to_annotation/index.html @@ -8,7 +8,7 @@ - sparknlp.training.spacy_to_annotation — Spark NLP 6.1.5 documentation + sparknlp.training.spacy_to_annotation — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/training/tfgraphs/index.html b/docs/api/python/reference/autosummary/sparknlp/training/tfgraphs/index.html index 92bc2dffa023eb..45755ad92420fe 100644 --- a/docs/api/python/reference/autosummary/sparknlp/training/tfgraphs/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/training/tfgraphs/index.html @@ -8,7 +8,7 @@ - sparknlp.training.tfgraphs — Spark NLP 6.1.5 documentation + sparknlp.training.tfgraphs — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/upload_to_hub/index.html b/docs/api/python/reference/autosummary/sparknlp/upload_to_hub/index.html index 55d4d0762aa4d8..b83c2e34dcc33e 100644 --- a/docs/api/python/reference/autosummary/sparknlp/upload_to_hub/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/upload_to_hub/index.html @@ -8,7 +8,7 @@ - sparknlp.upload_to_hub — Spark NLP 6.1.5 documentation + sparknlp.upload_to_hub — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/autosummary/sparknlp/util/index.html b/docs/api/python/reference/autosummary/sparknlp/util/index.html index 4fc564f9916120..f8e655a97f2f28 100644 --- a/docs/api/python/reference/autosummary/sparknlp/util/index.html +++ b/docs/api/python/reference/autosummary/sparknlp/util/index.html @@ -8,7 +8,7 @@ - sparknlp.util — Spark NLP 6.1.5 documentation + sparknlp.util — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -122,8 +122,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/reference/index.html b/docs/api/python/reference/index.html index 0c39e8c83890ec..b92002985cb28b 100644 --- a/docs/api/python/reference/index.html +++ b/docs/api/python/reference/index.html @@ -8,7 +8,7 @@ - API Reference — Spark NLP 6.1.5 documentation + API Reference — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -123,8 +123,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/search.html b/docs/api/python/search.html index 1586fd77207537..bd853da237011b 100644 --- a/docs/api/python/search.html +++ b/docs/api/python/search.html @@ -6,7 +6,7 @@ - Search - Spark NLP 6.1.5 documentation + Search - Spark NLP 6.2.0 documentation @@ -35,7 +35,7 @@ - + @@ -123,8 +123,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/searchindex.js b/docs/api/python/searchindex.js index ae798e07cff428..c121587649c0e1 100644 --- a/docs/api/python/searchindex.js +++ b/docs/api/python/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["_api/modules", "_api/sparknlp", "_api/sparknlp.annotation", "_api/sparknlp.annotation_audio", "_api/sparknlp.annotation_image", "_api/sparknlp.annotator", "_api/sparknlp.annotator.audio", "_api/sparknlp.annotator.audio.hubert_for_ctc", "_api/sparknlp.annotator.audio.wav2vec2_for_ctc", "_api/sparknlp.annotator.audio.whisper_for_ctc", "_api/sparknlp.annotator.chunk2_doc", "_api/sparknlp.annotator.chunker", "_api/sparknlp.annotator.classifier_dl", "_api/sparknlp.annotator.classifier_dl.albert_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.albert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.albert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.albert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.bert_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.bert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.bert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.bert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.camembert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.camembert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.camembert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.classifier_dl", "_api/sparknlp.annotator.classifier_dl.deberta_for_question_answering", "_api/sparknlp.annotator.classifier_dl.deberta_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.deberta_for_token_classification", "_api/sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.longformer_for_question_answering", "_api/sparknlp.annotator.classifier_dl.longformer_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.longformer_for_token_classification", "_api/sparknlp.annotator.classifier_dl.mpnet_for_question_answering", "_api/sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.mpnet_for_token_classification", "_api/sparknlp.annotator.classifier_dl.multi_classifier_dl", "_api/sparknlp.annotator.classifier_dl.roberta_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.roberta_for_question_answering", "_api/sparknlp.annotator.classifier_dl.roberta_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.roberta_for_token_classification", "_api/sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.sentiment_dl", "_api/sparknlp.annotator.classifier_dl.tapas_for_question_answering", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.xlnet_for_token_classification", "_api/sparknlp.annotator.cleaners", "_api/sparknlp.annotator.cleaners.cleaner", "_api/sparknlp.annotator.cleaners.extractor", "_api/sparknlp.annotator.coref", "_api/sparknlp.annotator.coref.spanbert_coref", "_api/sparknlp.annotator.cv", "_api/sparknlp.annotator.cv.blip_for_question_answering", "_api/sparknlp.annotator.cv.clip_for_zero_shot_classification", "_api/sparknlp.annotator.cv.convnext_for_image_classification", "_api/sparknlp.annotator.cv.florence2_transformer", "_api/sparknlp.annotator.cv.gemma3_for_multimodal", "_api/sparknlp.annotator.cv.internvl_for_multimodal", "_api/sparknlp.annotator.cv.janus_for_multimodal", "_api/sparknlp.annotator.cv.llava_for_multimodal", "_api/sparknlp.annotator.cv.mllama_for_multimodal", "_api/sparknlp.annotator.cv.paligemma_for_multimodal", "_api/sparknlp.annotator.cv.phi3_vision_for_multimodal", "_api/sparknlp.annotator.cv.qwen2vl_transformer", "_api/sparknlp.annotator.cv.smolvlm_transformer", "_api/sparknlp.annotator.cv.swin_for_image_classification", "_api/sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning", "_api/sparknlp.annotator.cv.vit_for_image_classification", "_api/sparknlp.annotator.dataframe_optimizer", "_api/sparknlp.annotator.date2_chunk", "_api/sparknlp.annotator.dependency", "_api/sparknlp.annotator.dependency.dependency_parser", "_api/sparknlp.annotator.dependency.typed_dependency_parser", "_api/sparknlp.annotator.document_character_text_splitter", "_api/sparknlp.annotator.document_normalizer", "_api/sparknlp.annotator.document_token_splitter", "_api/sparknlp.annotator.document_token_splitter_test", "_api/sparknlp.annotator.embeddings", "_api/sparknlp.annotator.embeddings.albert_embeddings", "_api/sparknlp.annotator.embeddings.auto_gguf_embeddings", "_api/sparknlp.annotator.embeddings.bert_embeddings", "_api/sparknlp.annotator.embeddings.bert_sentence_embeddings", "_api/sparknlp.annotator.embeddings.bge_embeddings", "_api/sparknlp.annotator.embeddings.camembert_embeddings", "_api/sparknlp.annotator.embeddings.chunk_embeddings", "_api/sparknlp.annotator.embeddings.deberta_embeddings", "_api/sparknlp.annotator.embeddings.distil_bert_embeddings", "_api/sparknlp.annotator.embeddings.doc2vec", "_api/sparknlp.annotator.embeddings.e5_embeddings", "_api/sparknlp.annotator.embeddings.e5v_embeddings", "_api/sparknlp.annotator.embeddings.elmo_embeddings", "_api/sparknlp.annotator.embeddings.instructor_embeddings", "_api/sparknlp.annotator.embeddings.longformer_embeddings", "_api/sparknlp.annotator.embeddings.minilm_embeddings", "_api/sparknlp.annotator.embeddings.mpnet_embeddings", "_api/sparknlp.annotator.embeddings.mxbai_embeddings", "_api/sparknlp.annotator.embeddings.nomic_embeddings", "_api/sparknlp.annotator.embeddings.roberta_embeddings", "_api/sparknlp.annotator.embeddings.roberta_sentence_embeddings", "_api/sparknlp.annotator.embeddings.sentence_embeddings", "_api/sparknlp.annotator.embeddings.snowflake_embeddings", "_api/sparknlp.annotator.embeddings.uae_embeddings", "_api/sparknlp.annotator.embeddings.universal_sentence_encoder", "_api/sparknlp.annotator.embeddings.word2vec", "_api/sparknlp.annotator.embeddings.word_embeddings", "_api/sparknlp.annotator.embeddings.xlm_roberta_embeddings", "_api/sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings", "_api/sparknlp.annotator.embeddings.xlnet_embeddings", "_api/sparknlp.annotator.er", "_api/sparknlp.annotator.er.entity_ruler", "_api/sparknlp.annotator.graph_extraction", "_api/sparknlp.annotator.keyword_extraction", "_api/sparknlp.annotator.keyword_extraction.yake_keyword_extraction", "_api/sparknlp.annotator.ld_dl", "_api/sparknlp.annotator.ld_dl.language_detector_dl", "_api/sparknlp.annotator.lemmatizer", "_api/sparknlp.annotator.matcher", "_api/sparknlp.annotator.matcher.big_text_matcher", "_api/sparknlp.annotator.matcher.date_matcher", "_api/sparknlp.annotator.matcher.multi_date_matcher", "_api/sparknlp.annotator.matcher.regex_matcher", "_api/sparknlp.annotator.matcher.text_matcher", "_api/sparknlp.annotator.n_gram_generator", "_api/sparknlp.annotator.ner", "_api/sparknlp.annotator.ner.ner_approach", "_api/sparknlp.annotator.ner.ner_converter", "_api/sparknlp.annotator.ner.ner_crf", "_api/sparknlp.annotator.ner.ner_dl", "_api/sparknlp.annotator.ner.ner_dl_graph_checker", "_api/sparknlp.annotator.ner.ner_overwriter", "_api/sparknlp.annotator.ner.zero_shot_ner_model", "_api/sparknlp.annotator.normalizer", "_api/sparknlp.annotator.openai", "_api/sparknlp.annotator.openai.openai_completion", "_api/sparknlp.annotator.openai.openai_embeddings", "_api/sparknlp.annotator.param", "_api/sparknlp.annotator.param.classifier_encoder", "_api/sparknlp.annotator.param.evaluation_dl_params", "_api/sparknlp.annotator.pos", "_api/sparknlp.annotator.pos.perceptron", "_api/sparknlp.annotator.sentence", "_api/sparknlp.annotator.sentence.sentence_detector", "_api/sparknlp.annotator.sentence.sentence_detector_dl", "_api/sparknlp.annotator.sentiment", "_api/sparknlp.annotator.sentiment.sentiment_detector", "_api/sparknlp.annotator.sentiment.vivekn_sentiment", "_api/sparknlp.annotator.seq2seq", "_api/sparknlp.annotator.seq2seq.auto_gguf_model", "_api/sparknlp.annotator.seq2seq.auto_gguf_reranker", "_api/sparknlp.annotator.seq2seq.auto_gguf_vision_model", "_api/sparknlp.annotator.seq2seq.bart_transformer", "_api/sparknlp.annotator.seq2seq.cohere_transformer", "_api/sparknlp.annotator.seq2seq.cpm_transformer", "_api/sparknlp.annotator.seq2seq.gpt2_transformer", "_api/sparknlp.annotator.seq2seq.llama2_transformer", "_api/sparknlp.annotator.seq2seq.llama3_transformer", "_api/sparknlp.annotator.seq2seq.m2m100_transformer", "_api/sparknlp.annotator.seq2seq.marian_transformer", "_api/sparknlp.annotator.seq2seq.mistral_transformer", "_api/sparknlp.annotator.seq2seq.nllb_transformer", "_api/sparknlp.annotator.seq2seq.olmo_transformer", "_api/sparknlp.annotator.seq2seq.phi2_transformer", "_api/sparknlp.annotator.seq2seq.phi3_transformer", "_api/sparknlp.annotator.seq2seq.phi4_transformer", "_api/sparknlp.annotator.seq2seq.qwen_transformer", "_api/sparknlp.annotator.seq2seq.starcoder_transformer", "_api/sparknlp.annotator.seq2seq.t5_transformer", "_api/sparknlp.annotator.similarity", "_api/sparknlp.annotator.similarity.document_similarity_ranker", "_api/sparknlp.annotator.spell_check", "_api/sparknlp.annotator.spell_check.context_spell_checker", "_api/sparknlp.annotator.spell_check.norvig_sweeting", "_api/sparknlp.annotator.spell_check.symmetric_delete", "_api/sparknlp.annotator.stemmer", "_api/sparknlp.annotator.stop_words_cleaner", "_api/sparknlp.annotator.tf_ner_dl_graph_builder", "_api/sparknlp.annotator.token", "_api/sparknlp.annotator.token.chunk_tokenizer", "_api/sparknlp.annotator.token.recursive_tokenizer", "_api/sparknlp.annotator.token.regex_tokenizer", "_api/sparknlp.annotator.token.tokenizer", "_api/sparknlp.annotator.token2_chunk", "_api/sparknlp.annotator.ws", "_api/sparknlp.annotator.ws.word_segmenter", "_api/sparknlp.base", "_api/sparknlp.base.audio_assembler", "_api/sparknlp.base.doc2_chunk", "_api/sparknlp.base.document_assembler", "_api/sparknlp.base.embeddings_finisher", "_api/sparknlp.base.finisher", "_api/sparknlp.base.gguf_ranking_finisher", "_api/sparknlp.base.graph_finisher", "_api/sparknlp.base.has_recursive_fit", "_api/sparknlp.base.has_recursive_transform", "_api/sparknlp.base.image_assembler", "_api/sparknlp.base.light_pipeline", "_api/sparknlp.base.multi_document_assembler", "_api/sparknlp.base.prompt_assembler", "_api/sparknlp.base.recursive_pipeline", "_api/sparknlp.base.table_assembler", "_api/sparknlp.base.token_assembler", "_api/sparknlp.common", "_api/sparknlp.common.annotator_approach", "_api/sparknlp.common.annotator_model", "_api/sparknlp.common.annotator_properties", "_api/sparknlp.common.annotator_type", "_api/sparknlp.common.coverage_result", "_api/sparknlp.common.match_strategy", "_api/sparknlp.common.properties", "_api/sparknlp.common.read_as", "_api/sparknlp.common.recursive_annotator_approach", "_api/sparknlp.common.storage", "_api/sparknlp.common.utils", "_api/sparknlp.functions", "_api/sparknlp.internal", "_api/sparknlp.internal.annotator_java_ml", "_api/sparknlp.internal.annotator_transformer", "_api/sparknlp.internal.extended_java_wrapper", "_api/sparknlp.internal.params_getters_setters", "_api/sparknlp.internal.recursive", "_api/sparknlp.logging", "_api/sparknlp.logging.comet", "_api/sparknlp.partition", "_api/sparknlp.partition.partition", "_api/sparknlp.partition.partition_properties", "_api/sparknlp.partition.partition_transformer", "_api/sparknlp.pretrained", "_api/sparknlp.pretrained.pretrained_pipeline", "_api/sparknlp.pretrained.resource_downloader", "_api/sparknlp.pretrained.utils", "_api/sparknlp.reader", "_api/sparknlp.reader.enums", "_api/sparknlp.reader.pdf_to_text", "_api/sparknlp.reader.reader2doc", "_api/sparknlp.reader.reader2image", "_api/sparknlp.reader.reader2table", "_api/sparknlp.reader.reader_assembler", "_api/sparknlp.reader.sparknlp_reader", "_api/sparknlp.training", "_api/sparknlp.training.conll", "_api/sparknlp.training.conllu", "_api/sparknlp.training.pos", "_api/sparknlp.training.pub_tator", "_api/sparknlp.training.spacy_to_annotation", "_api/sparknlp.training.tfgraphs", "_api/sparknlp.upload_to_hub", "_api/sparknlp.util", "getting_started/index", "index", "reference/autosummary/sparknlp/annotation/index", "reference/autosummary/sparknlp/annotation_audio/index", "reference/autosummary/sparknlp/annotation_image/index", "reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index", "reference/autosummary/sparknlp/annotator/audio/index", "reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index", "reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index", "reference/autosummary/sparknlp/annotator/chunk2_doc/index", "reference/autosummary/sparknlp/annotator/chunker/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index", "reference/autosummary/sparknlp/annotator/cleaners/cleaner/index", "reference/autosummary/sparknlp/annotator/cleaners/extractor/index", "reference/autosummary/sparknlp/annotator/cleaners/index", "reference/autosummary/sparknlp/annotator/coref/index", "reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index", "reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index", "reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index", "reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index", "reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/index", "reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index", "reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index", "reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index", "reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index", "reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index", "reference/autosummary/sparknlp/annotator/dataframe_optimizer/index", "reference/autosummary/sparknlp/annotator/date2_chunk/index", "reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index", "reference/autosummary/sparknlp/annotator/dependency/index", "reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index", "reference/autosummary/sparknlp/annotator/document_character_text_splitter/index", "reference/autosummary/sparknlp/annotator/document_normalizer/index", "reference/autosummary/sparknlp/annotator/document_token_splitter/index", "reference/autosummary/sparknlp/annotator/document_token_splitter_test/index", "reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index", "reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index", "reference/autosummary/sparknlp/annotator/embeddings/word2vec/index", "reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index", "reference/autosummary/sparknlp/annotator/er/entity_ruler/index", "reference/autosummary/sparknlp/annotator/er/index", "reference/autosummary/sparknlp/annotator/graph_extraction/index", "reference/autosummary/sparknlp/annotator/index", "reference/autosummary/sparknlp/annotator/keyword_extraction/index", "reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index", "reference/autosummary/sparknlp/annotator/ld_dl/index", "reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index", "reference/autosummary/sparknlp/annotator/lemmatizer/index", "reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/date_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/index", "reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/text_matcher/index", "reference/autosummary/sparknlp/annotator/n_gram_generator/index", "reference/autosummary/sparknlp/annotator/ner/index", "reference/autosummary/sparknlp/annotator/ner/ner_approach/index", "reference/autosummary/sparknlp/annotator/ner/ner_converter/index", "reference/autosummary/sparknlp/annotator/ner/ner_crf/index", "reference/autosummary/sparknlp/annotator/ner/ner_dl/index", "reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index", "reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index", "reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index", "reference/autosummary/sparknlp/annotator/normalizer/index", "reference/autosummary/sparknlp/annotator/openai/index", "reference/autosummary/sparknlp/annotator/openai/openai_completion/index", "reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index", "reference/autosummary/sparknlp/annotator/param/classifier_encoder/index", "reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index", "reference/autosummary/sparknlp/annotator/param/index", "reference/autosummary/sparknlp/annotator/pos/index", "reference/autosummary/sparknlp/annotator/pos/perceptron/index", "reference/autosummary/sparknlp/annotator/sentence/index", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index", "reference/autosummary/sparknlp/annotator/sentiment/index", "reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index", "reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index", "reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/index", "reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index", "reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index", "reference/autosummary/sparknlp/annotator/similarity/index", "reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index", "reference/autosummary/sparknlp/annotator/spell_check/index", "reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index", "reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index", "reference/autosummary/sparknlp/annotator/stemmer/index", "reference/autosummary/sparknlp/annotator/stop_words_cleaner/index", "reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index", "reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index", "reference/autosummary/sparknlp/annotator/token/index", "reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index", "reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index", "reference/autosummary/sparknlp/annotator/token/tokenizer/index", "reference/autosummary/sparknlp/annotator/token2_chunk/index", "reference/autosummary/sparknlp/annotator/ws/index", "reference/autosummary/sparknlp/annotator/ws/word_segmenter/index", "reference/autosummary/sparknlp/base/audio_assembler/index", "reference/autosummary/sparknlp/base/doc2_chunk/index", "reference/autosummary/sparknlp/base/document_assembler/index", "reference/autosummary/sparknlp/base/embeddings_finisher/index", "reference/autosummary/sparknlp/base/finisher/index", "reference/autosummary/sparknlp/base/gguf_ranking_finisher/index", "reference/autosummary/sparknlp/base/graph_finisher/index", "reference/autosummary/sparknlp/base/has_recursive_fit/index", "reference/autosummary/sparknlp/base/has_recursive_transform/index", "reference/autosummary/sparknlp/base/image_assembler/index", "reference/autosummary/sparknlp/base/index", "reference/autosummary/sparknlp/base/light_pipeline/index", "reference/autosummary/sparknlp/base/multi_document_assembler/index", "reference/autosummary/sparknlp/base/prompt_assembler/index", "reference/autosummary/sparknlp/base/recursive_pipeline/index", "reference/autosummary/sparknlp/base/table_assembler/index", "reference/autosummary/sparknlp/base/token_assembler/index", "reference/autosummary/sparknlp/common/annotator_approach/index", "reference/autosummary/sparknlp/common/annotator_model/index", "reference/autosummary/sparknlp/common/annotator_properties/index", "reference/autosummary/sparknlp/common/annotator_type/index", "reference/autosummary/sparknlp/common/coverage_result/index", "reference/autosummary/sparknlp/common/index", "reference/autosummary/sparknlp/common/match_strategy/index", "reference/autosummary/sparknlp/common/properties/index", "reference/autosummary/sparknlp/common/read_as/index", "reference/autosummary/sparknlp/common/recursive_annotator_approach/index", "reference/autosummary/sparknlp/common/storage/index", "reference/autosummary/sparknlp/common/utils/index", "reference/autosummary/sparknlp/functions/index", "reference/autosummary/sparknlp/index", "reference/autosummary/sparknlp/internal/annotator_java_ml/index", "reference/autosummary/sparknlp/internal/annotator_transformer/index", "reference/autosummary/sparknlp/internal/extended_java_wrapper/index", "reference/autosummary/sparknlp/internal/index", "reference/autosummary/sparknlp/internal/params_getters_setters/index", "reference/autosummary/sparknlp/internal/recursive/index", "reference/autosummary/sparknlp/logging/comet/index", "reference/autosummary/sparknlp/logging/index", "reference/autosummary/sparknlp/partition/index", "reference/autosummary/sparknlp/partition/partition/index", "reference/autosummary/sparknlp/partition/partition_properties/index", "reference/autosummary/sparknlp/partition/partition_transformer/index", "reference/autosummary/sparknlp/pretrained/index", "reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index", "reference/autosummary/sparknlp/pretrained/resource_downloader/index", "reference/autosummary/sparknlp/pretrained/utils/index", "reference/autosummary/sparknlp/reader/enums/index", "reference/autosummary/sparknlp/reader/index", "reference/autosummary/sparknlp/reader/pdf_to_text/index", "reference/autosummary/sparknlp/reader/reader2doc/index", "reference/autosummary/sparknlp/reader/reader2image/index", "reference/autosummary/sparknlp/reader/reader2table/index", "reference/autosummary/sparknlp/reader/reader_assembler/index", "reference/autosummary/sparknlp/reader/sparknlp_reader/index", "reference/autosummary/sparknlp/training/conll/index", "reference/autosummary/sparknlp/training/conllu/index", "reference/autosummary/sparknlp/training/index", "reference/autosummary/sparknlp/training/pos/index", "reference/autosummary/sparknlp/training/pub_tator/index", "reference/autosummary/sparknlp/training/spacy_to_annotation/index", "reference/autosummary/sparknlp/training/tfgraphs/index", "reference/autosummary/sparknlp/upload_to_hub/index", "reference/autosummary/sparknlp/util/index", "reference/index", "third_party/Comet", "third_party/MLflow", "third_party/index", "user_guide/annotation", "user_guide/annotators", "user_guide/custom_pipelines", "user_guide/helpers", "user_guide/index", "user_guide/light_pipelines", "user_guide/pretrained_pipelines", "user_guide/training"], "filenames": ["_api/modules.rst", "_api/sparknlp.rst", "_api/sparknlp.annotation.rst", "_api/sparknlp.annotation_audio.rst", "_api/sparknlp.annotation_image.rst", "_api/sparknlp.annotator.rst", "_api/sparknlp.annotator.audio.rst", "_api/sparknlp.annotator.audio.hubert_for_ctc.rst", "_api/sparknlp.annotator.audio.wav2vec2_for_ctc.rst", "_api/sparknlp.annotator.audio.whisper_for_ctc.rst", "_api/sparknlp.annotator.chunk2_doc.rst", "_api/sparknlp.annotator.chunker.rst", "_api/sparknlp.annotator.classifier_dl.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.classifier_dl.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.longformer_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.longformer_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.mpnet_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.mpnet_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.multi_classifier_dl.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.sentiment_dl.rst", "_api/sparknlp.annotator.classifier_dl.tapas_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlnet_for_token_classification.rst", "_api/sparknlp.annotator.cleaners.rst", "_api/sparknlp.annotator.cleaners.cleaner.rst", "_api/sparknlp.annotator.cleaners.extractor.rst", "_api/sparknlp.annotator.coref.rst", "_api/sparknlp.annotator.coref.spanbert_coref.rst", "_api/sparknlp.annotator.cv.rst", "_api/sparknlp.annotator.cv.blip_for_question_answering.rst", "_api/sparknlp.annotator.cv.clip_for_zero_shot_classification.rst", "_api/sparknlp.annotator.cv.convnext_for_image_classification.rst", "_api/sparknlp.annotator.cv.florence2_transformer.rst", "_api/sparknlp.annotator.cv.gemma3_for_multimodal.rst", "_api/sparknlp.annotator.cv.internvl_for_multimodal.rst", "_api/sparknlp.annotator.cv.janus_for_multimodal.rst", "_api/sparknlp.annotator.cv.llava_for_multimodal.rst", "_api/sparknlp.annotator.cv.mllama_for_multimodal.rst", "_api/sparknlp.annotator.cv.paligemma_for_multimodal.rst", "_api/sparknlp.annotator.cv.phi3_vision_for_multimodal.rst", "_api/sparknlp.annotator.cv.qwen2vl_transformer.rst", "_api/sparknlp.annotator.cv.smolvlm_transformer.rst", "_api/sparknlp.annotator.cv.swin_for_image_classification.rst", "_api/sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.rst", "_api/sparknlp.annotator.cv.vit_for_image_classification.rst", "_api/sparknlp.annotator.dataframe_optimizer.rst", "_api/sparknlp.annotator.date2_chunk.rst", "_api/sparknlp.annotator.dependency.rst", "_api/sparknlp.annotator.dependency.dependency_parser.rst", "_api/sparknlp.annotator.dependency.typed_dependency_parser.rst", "_api/sparknlp.annotator.document_character_text_splitter.rst", "_api/sparknlp.annotator.document_normalizer.rst", "_api/sparknlp.annotator.document_token_splitter.rst", "_api/sparknlp.annotator.document_token_splitter_test.rst", "_api/sparknlp.annotator.embeddings.rst", "_api/sparknlp.annotator.embeddings.albert_embeddings.rst", "_api/sparknlp.annotator.embeddings.auto_gguf_embeddings.rst", "_api/sparknlp.annotator.embeddings.bert_embeddings.rst", "_api/sparknlp.annotator.embeddings.bert_sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.bge_embeddings.rst", "_api/sparknlp.annotator.embeddings.camembert_embeddings.rst", "_api/sparknlp.annotator.embeddings.chunk_embeddings.rst", "_api/sparknlp.annotator.embeddings.deberta_embeddings.rst", "_api/sparknlp.annotator.embeddings.distil_bert_embeddings.rst", "_api/sparknlp.annotator.embeddings.doc2vec.rst", "_api/sparknlp.annotator.embeddings.e5_embeddings.rst", "_api/sparknlp.annotator.embeddings.e5v_embeddings.rst", "_api/sparknlp.annotator.embeddings.elmo_embeddings.rst", "_api/sparknlp.annotator.embeddings.instructor_embeddings.rst", "_api/sparknlp.annotator.embeddings.longformer_embeddings.rst", "_api/sparknlp.annotator.embeddings.minilm_embeddings.rst", "_api/sparknlp.annotator.embeddings.mpnet_embeddings.rst", "_api/sparknlp.annotator.embeddings.mxbai_embeddings.rst", "_api/sparknlp.annotator.embeddings.nomic_embeddings.rst", "_api/sparknlp.annotator.embeddings.roberta_embeddings.rst", "_api/sparknlp.annotator.embeddings.roberta_sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.snowflake_embeddings.rst", "_api/sparknlp.annotator.embeddings.uae_embeddings.rst", "_api/sparknlp.annotator.embeddings.universal_sentence_encoder.rst", "_api/sparknlp.annotator.embeddings.word2vec.rst", "_api/sparknlp.annotator.embeddings.word_embeddings.rst", "_api/sparknlp.annotator.embeddings.xlm_roberta_embeddings.rst", "_api/sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.xlnet_embeddings.rst", "_api/sparknlp.annotator.er.rst", "_api/sparknlp.annotator.er.entity_ruler.rst", "_api/sparknlp.annotator.graph_extraction.rst", "_api/sparknlp.annotator.keyword_extraction.rst", "_api/sparknlp.annotator.keyword_extraction.yake_keyword_extraction.rst", "_api/sparknlp.annotator.ld_dl.rst", "_api/sparknlp.annotator.ld_dl.language_detector_dl.rst", "_api/sparknlp.annotator.lemmatizer.rst", "_api/sparknlp.annotator.matcher.rst", "_api/sparknlp.annotator.matcher.big_text_matcher.rst", "_api/sparknlp.annotator.matcher.date_matcher.rst", "_api/sparknlp.annotator.matcher.multi_date_matcher.rst", "_api/sparknlp.annotator.matcher.regex_matcher.rst", "_api/sparknlp.annotator.matcher.text_matcher.rst", "_api/sparknlp.annotator.n_gram_generator.rst", "_api/sparknlp.annotator.ner.rst", "_api/sparknlp.annotator.ner.ner_approach.rst", "_api/sparknlp.annotator.ner.ner_converter.rst", "_api/sparknlp.annotator.ner.ner_crf.rst", "_api/sparknlp.annotator.ner.ner_dl.rst", "_api/sparknlp.annotator.ner.ner_dl_graph_checker.rst", "_api/sparknlp.annotator.ner.ner_overwriter.rst", "_api/sparknlp.annotator.ner.zero_shot_ner_model.rst", "_api/sparknlp.annotator.normalizer.rst", "_api/sparknlp.annotator.openai.rst", "_api/sparknlp.annotator.openai.openai_completion.rst", "_api/sparknlp.annotator.openai.openai_embeddings.rst", "_api/sparknlp.annotator.param.rst", "_api/sparknlp.annotator.param.classifier_encoder.rst", "_api/sparknlp.annotator.param.evaluation_dl_params.rst", "_api/sparknlp.annotator.pos.rst", "_api/sparknlp.annotator.pos.perceptron.rst", "_api/sparknlp.annotator.sentence.rst", "_api/sparknlp.annotator.sentence.sentence_detector.rst", "_api/sparknlp.annotator.sentence.sentence_detector_dl.rst", "_api/sparknlp.annotator.sentiment.rst", "_api/sparknlp.annotator.sentiment.sentiment_detector.rst", "_api/sparknlp.annotator.sentiment.vivekn_sentiment.rst", "_api/sparknlp.annotator.seq2seq.rst", "_api/sparknlp.annotator.seq2seq.auto_gguf_model.rst", "_api/sparknlp.annotator.seq2seq.auto_gguf_reranker.rst", "_api/sparknlp.annotator.seq2seq.auto_gguf_vision_model.rst", "_api/sparknlp.annotator.seq2seq.bart_transformer.rst", "_api/sparknlp.annotator.seq2seq.cohere_transformer.rst", "_api/sparknlp.annotator.seq2seq.cpm_transformer.rst", "_api/sparknlp.annotator.seq2seq.gpt2_transformer.rst", "_api/sparknlp.annotator.seq2seq.llama2_transformer.rst", "_api/sparknlp.annotator.seq2seq.llama3_transformer.rst", "_api/sparknlp.annotator.seq2seq.m2m100_transformer.rst", "_api/sparknlp.annotator.seq2seq.marian_transformer.rst", "_api/sparknlp.annotator.seq2seq.mistral_transformer.rst", "_api/sparknlp.annotator.seq2seq.nllb_transformer.rst", "_api/sparknlp.annotator.seq2seq.olmo_transformer.rst", "_api/sparknlp.annotator.seq2seq.phi2_transformer.rst", "_api/sparknlp.annotator.seq2seq.phi3_transformer.rst", "_api/sparknlp.annotator.seq2seq.phi4_transformer.rst", "_api/sparknlp.annotator.seq2seq.qwen_transformer.rst", "_api/sparknlp.annotator.seq2seq.starcoder_transformer.rst", "_api/sparknlp.annotator.seq2seq.t5_transformer.rst", "_api/sparknlp.annotator.similarity.rst", "_api/sparknlp.annotator.similarity.document_similarity_ranker.rst", "_api/sparknlp.annotator.spell_check.rst", "_api/sparknlp.annotator.spell_check.context_spell_checker.rst", "_api/sparknlp.annotator.spell_check.norvig_sweeting.rst", "_api/sparknlp.annotator.spell_check.symmetric_delete.rst", "_api/sparknlp.annotator.stemmer.rst", "_api/sparknlp.annotator.stop_words_cleaner.rst", "_api/sparknlp.annotator.tf_ner_dl_graph_builder.rst", "_api/sparknlp.annotator.token.rst", "_api/sparknlp.annotator.token.chunk_tokenizer.rst", "_api/sparknlp.annotator.token.recursive_tokenizer.rst", "_api/sparknlp.annotator.token.regex_tokenizer.rst", "_api/sparknlp.annotator.token.tokenizer.rst", "_api/sparknlp.annotator.token2_chunk.rst", "_api/sparknlp.annotator.ws.rst", "_api/sparknlp.annotator.ws.word_segmenter.rst", "_api/sparknlp.base.rst", "_api/sparknlp.base.audio_assembler.rst", "_api/sparknlp.base.doc2_chunk.rst", "_api/sparknlp.base.document_assembler.rst", "_api/sparknlp.base.embeddings_finisher.rst", "_api/sparknlp.base.finisher.rst", "_api/sparknlp.base.gguf_ranking_finisher.rst", "_api/sparknlp.base.graph_finisher.rst", "_api/sparknlp.base.has_recursive_fit.rst", "_api/sparknlp.base.has_recursive_transform.rst", "_api/sparknlp.base.image_assembler.rst", "_api/sparknlp.base.light_pipeline.rst", "_api/sparknlp.base.multi_document_assembler.rst", "_api/sparknlp.base.prompt_assembler.rst", "_api/sparknlp.base.recursive_pipeline.rst", "_api/sparknlp.base.table_assembler.rst", "_api/sparknlp.base.token_assembler.rst", "_api/sparknlp.common.rst", "_api/sparknlp.common.annotator_approach.rst", "_api/sparknlp.common.annotator_model.rst", "_api/sparknlp.common.annotator_properties.rst", "_api/sparknlp.common.annotator_type.rst", "_api/sparknlp.common.coverage_result.rst", "_api/sparknlp.common.match_strategy.rst", "_api/sparknlp.common.properties.rst", "_api/sparknlp.common.read_as.rst", "_api/sparknlp.common.recursive_annotator_approach.rst", "_api/sparknlp.common.storage.rst", "_api/sparknlp.common.utils.rst", "_api/sparknlp.functions.rst", "_api/sparknlp.internal.rst", "_api/sparknlp.internal.annotator_java_ml.rst", "_api/sparknlp.internal.annotator_transformer.rst", "_api/sparknlp.internal.extended_java_wrapper.rst", "_api/sparknlp.internal.params_getters_setters.rst", "_api/sparknlp.internal.recursive.rst", "_api/sparknlp.logging.rst", "_api/sparknlp.logging.comet.rst", "_api/sparknlp.partition.rst", "_api/sparknlp.partition.partition.rst", "_api/sparknlp.partition.partition_properties.rst", "_api/sparknlp.partition.partition_transformer.rst", "_api/sparknlp.pretrained.rst", "_api/sparknlp.pretrained.pretrained_pipeline.rst", "_api/sparknlp.pretrained.resource_downloader.rst", "_api/sparknlp.pretrained.utils.rst", "_api/sparknlp.reader.rst", "_api/sparknlp.reader.enums.rst", "_api/sparknlp.reader.pdf_to_text.rst", "_api/sparknlp.reader.reader2doc.rst", "_api/sparknlp.reader.reader2image.rst", "_api/sparknlp.reader.reader2table.rst", "_api/sparknlp.reader.reader_assembler.rst", "_api/sparknlp.reader.sparknlp_reader.rst", "_api/sparknlp.training.rst", "_api/sparknlp.training.conll.rst", "_api/sparknlp.training.conllu.rst", "_api/sparknlp.training.pos.rst", "_api/sparknlp.training.pub_tator.rst", "_api/sparknlp.training.spacy_to_annotation.rst", "_api/sparknlp.training.tfgraphs.rst", "_api/sparknlp.upload_to_hub.rst", "_api/sparknlp.util.rst", "getting_started/index.rst", "index.rst", "reference/autosummary/sparknlp/annotation/index.rst", "reference/autosummary/sparknlp/annotation_audio/index.rst", "reference/autosummary/sparknlp/annotation_image/index.rst", "reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index.rst", "reference/autosummary/sparknlp/annotator/audio/index.rst", "reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.rst", "reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index.rst", "reference/autosummary/sparknlp/annotator/chunk2_doc/index.rst", "reference/autosummary/sparknlp/annotator/chunker/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/cleaners/cleaner/index.rst", "reference/autosummary/sparknlp/annotator/cleaners/extractor/index.rst", "reference/autosummary/sparknlp/annotator/cleaners/index.rst", "reference/autosummary/sparknlp/annotator/coref/index.rst", "reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.rst", "reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index.rst", "reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/index.rst", "reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index.rst", "reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index.rst", "reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index.rst", "reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index.rst", "reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.rst", "reference/autosummary/sparknlp/annotator/dataframe_optimizer/index.rst", "reference/autosummary/sparknlp/annotator/date2_chunk/index.rst", "reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.rst", "reference/autosummary/sparknlp/annotator/dependency/index.rst", "reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.rst", "reference/autosummary/sparknlp/annotator/document_character_text_splitter/index.rst", "reference/autosummary/sparknlp/annotator/document_normalizer/index.rst", "reference/autosummary/sparknlp/annotator/document_token_splitter/index.rst", "reference/autosummary/sparknlp/annotator/document_token_splitter_test/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/er/entity_ruler/index.rst", "reference/autosummary/sparknlp/annotator/er/index.rst", "reference/autosummary/sparknlp/annotator/graph_extraction/index.rst", "reference/autosummary/sparknlp/annotator/index.rst", "reference/autosummary/sparknlp/annotator/keyword_extraction/index.rst", "reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.rst", "reference/autosummary/sparknlp/annotator/ld_dl/index.rst", "reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.rst", "reference/autosummary/sparknlp/annotator/lemmatizer/index.rst", "reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.rst", "reference/autosummary/sparknlp/annotator/n_gram_generator/index.rst", "reference/autosummary/sparknlp/annotator/ner/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_approach/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_converter/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_crf/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_dl/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.rst", "reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index.rst", "reference/autosummary/sparknlp/annotator/normalizer/index.rst", "reference/autosummary/sparknlp/annotator/openai/index.rst", "reference/autosummary/sparknlp/annotator/openai/openai_completion/index.rst", "reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/param/classifier_encoder/index.rst", "reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index.rst", "reference/autosummary/sparknlp/annotator/param/index.rst", "reference/autosummary/sparknlp/annotator/pos/index.rst", "reference/autosummary/sparknlp/annotator/pos/perceptron/index.rst", "reference/autosummary/sparknlp/annotator/sentence/index.rst", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.rst", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.rst", "reference/autosummary/sparknlp/annotator/sentiment/index.rst", "reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.rst", "reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.rst", "reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index.rst", "reference/autosummary/sparknlp/annotator/similarity/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.rst", "reference/autosummary/sparknlp/annotator/stemmer/index.rst", "reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.rst", "reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index.rst", "reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token/index.rst", "reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token/tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token2_chunk/index.rst", "reference/autosummary/sparknlp/annotator/ws/index.rst", "reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.rst", "reference/autosummary/sparknlp/base/audio_assembler/index.rst", "reference/autosummary/sparknlp/base/doc2_chunk/index.rst", "reference/autosummary/sparknlp/base/document_assembler/index.rst", "reference/autosummary/sparknlp/base/embeddings_finisher/index.rst", "reference/autosummary/sparknlp/base/finisher/index.rst", "reference/autosummary/sparknlp/base/gguf_ranking_finisher/index.rst", "reference/autosummary/sparknlp/base/graph_finisher/index.rst", "reference/autosummary/sparknlp/base/has_recursive_fit/index.rst", "reference/autosummary/sparknlp/base/has_recursive_transform/index.rst", "reference/autosummary/sparknlp/base/image_assembler/index.rst", "reference/autosummary/sparknlp/base/index.rst", "reference/autosummary/sparknlp/base/light_pipeline/index.rst", "reference/autosummary/sparknlp/base/multi_document_assembler/index.rst", "reference/autosummary/sparknlp/base/prompt_assembler/index.rst", "reference/autosummary/sparknlp/base/recursive_pipeline/index.rst", "reference/autosummary/sparknlp/base/table_assembler/index.rst", "reference/autosummary/sparknlp/base/token_assembler/index.rst", "reference/autosummary/sparknlp/common/annotator_approach/index.rst", "reference/autosummary/sparknlp/common/annotator_model/index.rst", "reference/autosummary/sparknlp/common/annotator_properties/index.rst", "reference/autosummary/sparknlp/common/annotator_type/index.rst", "reference/autosummary/sparknlp/common/coverage_result/index.rst", "reference/autosummary/sparknlp/common/index.rst", "reference/autosummary/sparknlp/common/match_strategy/index.rst", "reference/autosummary/sparknlp/common/properties/index.rst", "reference/autosummary/sparknlp/common/read_as/index.rst", "reference/autosummary/sparknlp/common/recursive_annotator_approach/index.rst", "reference/autosummary/sparknlp/common/storage/index.rst", "reference/autosummary/sparknlp/common/utils/index.rst", "reference/autosummary/sparknlp/functions/index.rst", "reference/autosummary/sparknlp/index.rst", "reference/autosummary/sparknlp/internal/annotator_java_ml/index.rst", "reference/autosummary/sparknlp/internal/annotator_transformer/index.rst", "reference/autosummary/sparknlp/internal/extended_java_wrapper/index.rst", "reference/autosummary/sparknlp/internal/index.rst", "reference/autosummary/sparknlp/internal/params_getters_setters/index.rst", "reference/autosummary/sparknlp/internal/recursive/index.rst", "reference/autosummary/sparknlp/logging/comet/index.rst", "reference/autosummary/sparknlp/logging/index.rst", "reference/autosummary/sparknlp/partition/index.rst", "reference/autosummary/sparknlp/partition/partition/index.rst", "reference/autosummary/sparknlp/partition/partition_properties/index.rst", "reference/autosummary/sparknlp/partition/partition_transformer/index.rst", "reference/autosummary/sparknlp/pretrained/index.rst", "reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.rst", "reference/autosummary/sparknlp/pretrained/resource_downloader/index.rst", "reference/autosummary/sparknlp/pretrained/utils/index.rst", "reference/autosummary/sparknlp/reader/enums/index.rst", "reference/autosummary/sparknlp/reader/index.rst", "reference/autosummary/sparknlp/reader/pdf_to_text/index.rst", "reference/autosummary/sparknlp/reader/reader2doc/index.rst", "reference/autosummary/sparknlp/reader/reader2image/index.rst", "reference/autosummary/sparknlp/reader/reader2table/index.rst", "reference/autosummary/sparknlp/reader/reader_assembler/index.rst", "reference/autosummary/sparknlp/reader/sparknlp_reader/index.rst", "reference/autosummary/sparknlp/training/conll/index.rst", "reference/autosummary/sparknlp/training/conllu/index.rst", "reference/autosummary/sparknlp/training/index.rst", "reference/autosummary/sparknlp/training/pos/index.rst", "reference/autosummary/sparknlp/training/pub_tator/index.rst", "reference/autosummary/sparknlp/training/spacy_to_annotation/index.rst", "reference/autosummary/sparknlp/training/tfgraphs/index.rst", "reference/autosummary/sparknlp/upload_to_hub/index.rst", "reference/autosummary/sparknlp/util/index.rst", "reference/index.rst", "third_party/Comet.rst", "third_party/MLflow.rst", "third_party/index.rst", "user_guide/annotation.rst", "user_guide/annotators.rst", "user_guide/custom_pipelines.rst", "user_guide/helpers.rst", "user_guide/index.rst", "user_guide/light_pipelines.rst", "user_guide/pretrained_pipelines.rst", "user_guide/training.rst"], "titles": ["sparknlp", "sparknlp package", "sparknlp.annotation module", "sparknlp.annotation_audio module", "sparknlp.annotation_image module", "sparknlp.annotator package", "sparknlp.annotator.audio package", "sparknlp.annotator.audio.hubert_for_ctc module", "sparknlp.annotator.audio.wav2vec2_for_ctc module", "sparknlp.annotator.audio.whisper_for_ctc module", "sparknlp.annotator.chunk2_doc module", "sparknlp.annotator.chunker module", "sparknlp.annotator.classifier_dl package", "sparknlp.annotator.classifier_dl.albert_for_multiple_choice module", "sparknlp.annotator.classifier_dl.albert_for_question_answering module", "sparknlp.annotator.classifier_dl.albert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.albert_for_token_classification module", "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.bert_for_multiple_choice module", "sparknlp.annotator.classifier_dl.bert_for_question_answering module", "sparknlp.annotator.classifier_dl.bert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.bert_for_token_classification module", "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.camembert_for_question_answering module", "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.camembert_for_token_classification module", "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.classifier_dl module", "sparknlp.annotator.classifier_dl.deberta_for_question_answering module", "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification module", "sparknlp.annotator.classifier_dl.deberta_for_token_classification module", "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering module", "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification module", "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice module", "sparknlp.annotator.classifier_dl.longformer_for_question_answering module", "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification module", "sparknlp.annotator.classifier_dl.longformer_for_token_classification module", "sparknlp.annotator.classifier_dl.mpnet_for_question_answering module", "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification module", "sparknlp.annotator.classifier_dl.mpnet_for_token_classification module", "sparknlp.annotator.classifier_dl.multi_classifier_dl module", "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice module", "sparknlp.annotator.classifier_dl.roberta_for_question_answering module", "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification module", "sparknlp.annotator.classifier_dl.roberta_for_token_classification module", "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.sentiment_dl module", "sparknlp.annotator.classifier_dl.tapas_for_question_answering module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification module", "sparknlp.annotator.classifier_dl.xlnet_for_token_classification module", "sparknlp.annotator.cleaners package", "sparknlp.annotator.cleaners.cleaner module", "sparknlp.annotator.cleaners.extractor module", "sparknlp.annotator.coref package", "sparknlp.annotator.coref.spanbert_coref module", "sparknlp.annotator.cv package", "sparknlp.annotator.cv.blip_for_question_answering module", "sparknlp.annotator.cv.clip_for_zero_shot_classification module", "sparknlp.annotator.cv.convnext_for_image_classification module", "sparknlp.annotator.cv.florence2_transformer module", "sparknlp.annotator.cv.gemma3_for_multimodal module", "sparknlp.annotator.cv.internvl_for_multimodal module", "sparknlp.annotator.cv.janus_for_multimodal module", "sparknlp.annotator.cv.llava_for_multimodal module", "sparknlp.annotator.cv.mllama_for_multimodal module", "sparknlp.annotator.cv.paligemma_for_multimodal module", "sparknlp.annotator.cv.phi3_vision_for_multimodal module", "sparknlp.annotator.cv.qwen2vl_transformer module", "sparknlp.annotator.cv.smolvlm_transformer module", "sparknlp.annotator.cv.swin_for_image_classification module", "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning module", "sparknlp.annotator.cv.vit_for_image_classification module", "sparknlp.annotator.dataframe_optimizer module", "sparknlp.annotator.date2_chunk module", "sparknlp.annotator.dependency package", "sparknlp.annotator.dependency.dependency_parser module", "sparknlp.annotator.dependency.typed_dependency_parser module", "sparknlp.annotator.document_character_text_splitter module", "sparknlp.annotator.document_normalizer module", "sparknlp.annotator.document_token_splitter module", "sparknlp.annotator.document_token_splitter_test module", "sparknlp.annotator.embeddings package", "sparknlp.annotator.embeddings.albert_embeddings module", "sparknlp.annotator.embeddings.auto_gguf_embeddings module", "sparknlp.annotator.embeddings.bert_embeddings module", "sparknlp.annotator.embeddings.bert_sentence_embeddings module", "sparknlp.annotator.embeddings.bge_embeddings module", "sparknlp.annotator.embeddings.camembert_embeddings module", "sparknlp.annotator.embeddings.chunk_embeddings module", "sparknlp.annotator.embeddings.deberta_embeddings module", "sparknlp.annotator.embeddings.distil_bert_embeddings module", "sparknlp.annotator.embeddings.doc2vec module", "sparknlp.annotator.embeddings.e5_embeddings module", "sparknlp.annotator.embeddings.e5v_embeddings module", "sparknlp.annotator.embeddings.elmo_embeddings module", "sparknlp.annotator.embeddings.instructor_embeddings module", "sparknlp.annotator.embeddings.longformer_embeddings module", "sparknlp.annotator.embeddings.minilm_embeddings module", "sparknlp.annotator.embeddings.mpnet_embeddings module", "sparknlp.annotator.embeddings.mxbai_embeddings module", "sparknlp.annotator.embeddings.nomic_embeddings module", "sparknlp.annotator.embeddings.roberta_embeddings module", "sparknlp.annotator.embeddings.roberta_sentence_embeddings module", "sparknlp.annotator.embeddings.sentence_embeddings module", "sparknlp.annotator.embeddings.snowflake_embeddings module", "sparknlp.annotator.embeddings.uae_embeddings module", "sparknlp.annotator.embeddings.universal_sentence_encoder module", "sparknlp.annotator.embeddings.word2vec module", "sparknlp.annotator.embeddings.word_embeddings module", "sparknlp.annotator.embeddings.xlm_roberta_embeddings module", "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings module", "sparknlp.annotator.embeddings.xlnet_embeddings module", "sparknlp.annotator.er package", "sparknlp.annotator.er.entity_ruler module", "sparknlp.annotator.graph_extraction module", "sparknlp.annotator.keyword_extraction package", "sparknlp.annotator.keyword_extraction.yake_keyword_extraction module", "sparknlp.annotator.ld_dl package", "sparknlp.annotator.ld_dl.language_detector_dl module", "sparknlp.annotator.lemmatizer module", "sparknlp.annotator.matcher package", "sparknlp.annotator.matcher.big_text_matcher module", "sparknlp.annotator.matcher.date_matcher module", "sparknlp.annotator.matcher.multi_date_matcher module", "sparknlp.annotator.matcher.regex_matcher module", "sparknlp.annotator.matcher.text_matcher module", "sparknlp.annotator.n_gram_generator module", "sparknlp.annotator.ner package", "sparknlp.annotator.ner.ner_approach module", "sparknlp.annotator.ner.ner_converter module", "sparknlp.annotator.ner.ner_crf module", "sparknlp.annotator.ner.ner_dl module", "sparknlp.annotator.ner.ner_dl_graph_checker module", "sparknlp.annotator.ner.ner_overwriter module", "sparknlp.annotator.ner.zero_shot_ner_model module", "sparknlp.annotator.normalizer module", "sparknlp.annotator.openai package", "sparknlp.annotator.openai.openai_completion module", "sparknlp.annotator.openai.openai_embeddings module", "sparknlp.annotator.param package", "sparknlp.annotator.param.classifier_encoder module", "sparknlp.annotator.param.evaluation_dl_params module", "sparknlp.annotator.pos package", "sparknlp.annotator.pos.perceptron module", "sparknlp.annotator.sentence package", "sparknlp.annotator.sentence.sentence_detector module", "sparknlp.annotator.sentence.sentence_detector_dl module", "sparknlp.annotator.sentiment package", "sparknlp.annotator.sentiment.sentiment_detector module", "sparknlp.annotator.sentiment.vivekn_sentiment module", "sparknlp.annotator.seq2seq package", "sparknlp.annotator.seq2seq.auto_gguf_model module", "sparknlp.annotator.seq2seq.auto_gguf_reranker module", "sparknlp.annotator.seq2seq.auto_gguf_vision_model module", "sparknlp.annotator.seq2seq.bart_transformer module", "sparknlp.annotator.seq2seq.cohere_transformer module", "sparknlp.annotator.seq2seq.cpm_transformer module", "sparknlp.annotator.seq2seq.gpt2_transformer module", "sparknlp.annotator.seq2seq.llama2_transformer module", "sparknlp.annotator.seq2seq.llama3_transformer module", "sparknlp.annotator.seq2seq.m2m100_transformer module", "sparknlp.annotator.seq2seq.marian_transformer module", "sparknlp.annotator.seq2seq.mistral_transformer module", "sparknlp.annotator.seq2seq.nllb_transformer module", "sparknlp.annotator.seq2seq.olmo_transformer module", "sparknlp.annotator.seq2seq.phi2_transformer module", "sparknlp.annotator.seq2seq.phi3_transformer module", "sparknlp.annotator.seq2seq.phi4_transformer module", "sparknlp.annotator.seq2seq.qwen_transformer module", "sparknlp.annotator.seq2seq.starcoder_transformer module", "sparknlp.annotator.seq2seq.t5_transformer module", "sparknlp.annotator.similarity package", "sparknlp.annotator.similarity.document_similarity_ranker module", "sparknlp.annotator.spell_check package", "sparknlp.annotator.spell_check.context_spell_checker module", "sparknlp.annotator.spell_check.norvig_sweeting module", "sparknlp.annotator.spell_check.symmetric_delete module", "sparknlp.annotator.stemmer module", "sparknlp.annotator.stop_words_cleaner module", "sparknlp.annotator.tf_ner_dl_graph_builder module", "sparknlp.annotator.token package", "sparknlp.annotator.token.chunk_tokenizer module", "sparknlp.annotator.token.recursive_tokenizer module", "sparknlp.annotator.token.regex_tokenizer module", "sparknlp.annotator.token.tokenizer module", "sparknlp.annotator.token2_chunk module", "sparknlp.annotator.ws package", "sparknlp.annotator.ws.word_segmenter module", "sparknlp.base package", "sparknlp.base.audio_assembler module", "sparknlp.base.doc2_chunk module", "sparknlp.base.document_assembler module", "sparknlp.base.embeddings_finisher module", "sparknlp.base.finisher module", "sparknlp.base.gguf_ranking_finisher module", "sparknlp.base.graph_finisher module", "sparknlp.base.has_recursive_fit module", "sparknlp.base.has_recursive_transform module", "sparknlp.base.image_assembler module", "sparknlp.base.light_pipeline module", "sparknlp.base.multi_document_assembler module", "sparknlp.base.prompt_assembler module", "sparknlp.base.recursive_pipeline module", "sparknlp.base.table_assembler module", "sparknlp.base.token_assembler module", "sparknlp.common package", "sparknlp.common.annotator_approach module", "sparknlp.common.annotator_model module", "sparknlp.common.annotator_properties module", "sparknlp.common.annotator_type module", "sparknlp.common.coverage_result module", "sparknlp.common.match_strategy module", "sparknlp.common.properties module", "sparknlp.common.read_as module", "sparknlp.common.recursive_annotator_approach module", "sparknlp.common.storage module", "sparknlp.common.utils module", "sparknlp.functions module", "sparknlp.internal package", "sparknlp.internal.annotator_java_ml module", "sparknlp.internal.annotator_transformer module", "sparknlp.internal.extended_java_wrapper module", "sparknlp.internal.params_getters_setters module", "sparknlp.internal.recursive module", "sparknlp.logging package", "sparknlp.logging.comet module", "sparknlp.partition package", "sparknlp.partition.partition module", "sparknlp.partition.partition_properties module", "sparknlp.partition.partition_transformer module", "sparknlp.pretrained package", "sparknlp.pretrained.pretrained_pipeline module", "sparknlp.pretrained.resource_downloader module", "sparknlp.pretrained.utils module", "sparknlp.reader package", "sparknlp.reader.enums module", "sparknlp.reader.pdf_to_text module", "sparknlp.reader.reader2doc module", "sparknlp.reader.reader2image module", "sparknlp.reader.reader2table module", "sparknlp.reader.reader_assembler module", "sparknlp.reader.sparknlp_reader module", "sparknlp.training package", "sparknlp.training.conll module", "sparknlp.training.conllu module", "sparknlp.training.pos module", "sparknlp.training.pub_tator module", "sparknlp.training.spacy_to_annotation module", "sparknlp.training.tfgraphs module", "sparknlp.upload_to_hub module", "sparknlp.util module", "Getting Started", "Spark NLP Documentation", "sparknlp.annotation", "sparknlp.annotation_audio", "sparknlp.annotation_image", "sparknlp.annotator.audio.hubert_for_ctc", "sparknlp.annotator.audio", "sparknlp.annotator.audio.wav2vec2_for_ctc", "sparknlp.annotator.audio.whisper_for_ctc", "sparknlp.annotator.chunk2_doc", "sparknlp.annotator.chunker", "sparknlp.annotator.classifier_dl.albert_for_multiple_choice", "sparknlp.annotator.classifier_dl.albert_for_question_answering", "sparknlp.annotator.classifier_dl.albert_for_sequence_classification", "sparknlp.annotator.classifier_dl.albert_for_token_classification", "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.bert_for_multiple_choice", "sparknlp.annotator.classifier_dl.bert_for_question_answering", "sparknlp.annotator.classifier_dl.bert_for_sequence_classification", "sparknlp.annotator.classifier_dl.bert_for_token_classification", "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.camembert_for_question_answering", "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification", "sparknlp.annotator.classifier_dl.camembert_for_token_classification", "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.classifier_dl", "sparknlp.annotator.classifier_dl.deberta_for_question_answering", "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification", "sparknlp.annotator.classifier_dl.deberta_for_token_classification", "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering", "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification", "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification", "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice", "sparknlp.annotator.classifier_dl", "sparknlp.annotator.classifier_dl.longformer_for_question_answering", "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification", "sparknlp.annotator.classifier_dl.longformer_for_token_classification", "sparknlp.annotator.classifier_dl.mpnet_for_question_answering", "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification", "sparknlp.annotator.classifier_dl.mpnet_for_token_classification", "sparknlp.annotator.classifier_dl.multi_classifier_dl", "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice", "sparknlp.annotator.classifier_dl.roberta_for_question_answering", "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification", "sparknlp.annotator.classifier_dl.roberta_for_token_classification", "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.sentiment_dl", "sparknlp.annotator.classifier_dl.tapas_for_question_answering", "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice", "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering", "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification", "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification", "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification", "sparknlp.annotator.classifier_dl.xlnet_for_token_classification", "sparknlp.annotator.cleaners.cleaner", "sparknlp.annotator.cleaners.extractor", "sparknlp.annotator.cleaners", "sparknlp.annotator.coref", "sparknlp.annotator.coref.spanbert_coref", "sparknlp.annotator.cv.blip_for_question_answering", "sparknlp.annotator.cv.clip_for_zero_shot_classification", "sparknlp.annotator.cv.convnext_for_image_classification", "sparknlp.annotator.cv.florence2_transformer", "sparknlp.annotator.cv.gemma3_for_multimodal", "sparknlp.annotator.cv", "sparknlp.annotator.cv.internvl_for_multimodal", "sparknlp.annotator.cv.janus_for_multimodal", "sparknlp.annotator.cv.llava_for_multimodal", "sparknlp.annotator.cv.mllama_for_multimodal", "sparknlp.annotator.cv.paligemma_for_multimodal", "sparknlp.annotator.cv.phi3_vision_for_multimodal", "sparknlp.annotator.cv.qwen2vl_transformer", "sparknlp.annotator.cv.smolvlm_transformer", "sparknlp.annotator.cv.swin_for_image_classification", "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning", "sparknlp.annotator.cv.vit_for_image_classification", "sparknlp.annotator.dataframe_optimizer", "sparknlp.annotator.date2_chunk", "sparknlp.annotator.dependency.dependency_parser", "sparknlp.annotator.dependency", "sparknlp.annotator.dependency.typed_dependency_parser", "sparknlp.annotator.document_character_text_splitter", "sparknlp.annotator.document_normalizer", "sparknlp.annotator.document_token_splitter", "sparknlp.annotator.document_token_splitter_test", "sparknlp.annotator.embeddings.albert_embeddings", "sparknlp.annotator.embeddings.auto_gguf_embeddings", "sparknlp.annotator.embeddings.bert_embeddings", "sparknlp.annotator.embeddings.bert_sentence_embeddings", "sparknlp.annotator.embeddings.bge_embeddings", "sparknlp.annotator.embeddings.camembert_embeddings", "sparknlp.annotator.embeddings.chunk_embeddings", "sparknlp.annotator.embeddings.deberta_embeddings", "sparknlp.annotator.embeddings.distil_bert_embeddings", "sparknlp.annotator.embeddings.doc2vec", "sparknlp.annotator.embeddings.e5_embeddings", "sparknlp.annotator.embeddings.e5v_embeddings", "sparknlp.annotator.embeddings.elmo_embeddings", "sparknlp.annotator.embeddings", "sparknlp.annotator.embeddings.instructor_embeddings", "sparknlp.annotator.embeddings.longformer_embeddings", "sparknlp.annotator.embeddings.minilm_embeddings", "sparknlp.annotator.embeddings.mpnet_embeddings", "sparknlp.annotator.embeddings.mxbai_embeddings", "sparknlp.annotator.embeddings.nomic_embeddings", "sparknlp.annotator.embeddings.roberta_embeddings", "sparknlp.annotator.embeddings.roberta_sentence_embeddings", "sparknlp.annotator.embeddings.sentence_embeddings", "sparknlp.annotator.embeddings.snowflake_embeddings", "sparknlp.annotator.embeddings.uae_embeddings", "sparknlp.annotator.embeddings.universal_sentence_encoder", "sparknlp.annotator.embeddings.word2vec", "sparknlp.annotator.embeddings.word_embeddings", "sparknlp.annotator.embeddings.xlm_roberta_embeddings", "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings", "sparknlp.annotator.embeddings.xlnet_embeddings", "sparknlp.annotator.er.entity_ruler", "sparknlp.annotator.er", "sparknlp.annotator.graph_extraction", "sparknlp.annotator", "sparknlp.annotator.keyword_extraction", "sparknlp.annotator.keyword_extraction.yake_keyword_extraction", "sparknlp.annotator.ld_dl", "sparknlp.annotator.ld_dl.language_detector_dl", "sparknlp.annotator.lemmatizer", "sparknlp.annotator.matcher.big_text_matcher", "sparknlp.annotator.matcher.date_matcher", "sparknlp.annotator.matcher", "sparknlp.annotator.matcher.multi_date_matcher", "sparknlp.annotator.matcher.regex_matcher", "sparknlp.annotator.matcher.text_matcher", "sparknlp.annotator.n_gram_generator", "sparknlp.annotator.ner", "sparknlp.annotator.ner.ner_approach", "sparknlp.annotator.ner.ner_converter", "sparknlp.annotator.ner.ner_crf", "sparknlp.annotator.ner.ner_dl", "sparknlp.annotator.ner.ner_dl_graph_checker", "sparknlp.annotator.ner.ner_overwriter", "sparknlp.annotator.ner.zero_shot_ner_model", "sparknlp.annotator.normalizer", "sparknlp.annotator.openai", "sparknlp.annotator.openai.openai_completion", "sparknlp.annotator.openai.openai_embeddings", "sparknlp.annotator.param.classifier_encoder", "sparknlp.annotator.param.evaluation_dl_params", "sparknlp.annotator.param", "sparknlp.annotator.pos", "sparknlp.annotator.pos.perceptron", "sparknlp.annotator.sentence", "sparknlp.annotator.sentence.sentence_detector", "sparknlp.annotator.sentence.sentence_detector_dl", "sparknlp.annotator.sentiment", "sparknlp.annotator.sentiment.sentiment_detector", "sparknlp.annotator.sentiment.vivekn_sentiment", "sparknlp.annotator.seq2seq.auto_gguf_model", "sparknlp.annotator.seq2seq.auto_gguf_reranker", "sparknlp.annotator.seq2seq.auto_gguf_vision_model", "sparknlp.annotator.seq2seq.bart_transformer", "sparknlp.annotator.seq2seq.cohere_transformer", "sparknlp.annotator.seq2seq.cpm_transformer", "sparknlp.annotator.seq2seq.gpt2_transformer", "sparknlp.annotator.seq2seq", "sparknlp.annotator.seq2seq.llama2_transformer", "sparknlp.annotator.seq2seq.llama3_transformer", "sparknlp.annotator.seq2seq.m2m100_transformer", "sparknlp.annotator.seq2seq.marian_transformer", "sparknlp.annotator.seq2seq.mistral_transformer", "sparknlp.annotator.seq2seq.nllb_transformer", "sparknlp.annotator.seq2seq.olmo_transformer", "sparknlp.annotator.seq2seq.phi2_transformer", "sparknlp.annotator.seq2seq.phi3_transformer", "sparknlp.annotator.seq2seq.phi4_transformer", "sparknlp.annotator.seq2seq.qwen_transformer", "sparknlp.annotator.seq2seq.starcoder_transformer", "sparknlp.annotator.seq2seq.t5_transformer", "sparknlp.annotator.similarity.document_similarity_ranker", "sparknlp.annotator.similarity", "sparknlp.annotator.spell_check.context_spell_checker", "sparknlp.annotator.spell_check", "sparknlp.annotator.spell_check.norvig_sweeting", "sparknlp.annotator.spell_check.symmetric_delete", "sparknlp.annotator.stemmer", "sparknlp.annotator.stop_words_cleaner", "sparknlp.annotator.tf_ner_dl_graph_builder", "sparknlp.annotator.token.chunk_tokenizer", "sparknlp.annotator.token", "sparknlp.annotator.token.recursive_tokenizer", "sparknlp.annotator.token.regex_tokenizer", "sparknlp.annotator.token.tokenizer", "sparknlp.annotator.token2_chunk", "sparknlp.annotator.ws", "sparknlp.annotator.ws.word_segmenter", "sparknlp.base.audio_assembler", "sparknlp.base.doc2_chunk", "sparknlp.base.document_assembler", "sparknlp.base.embeddings_finisher", "sparknlp.base.finisher", "sparknlp.base.gguf_ranking_finisher", "sparknlp.base.graph_finisher", "sparknlp.base.has_recursive_fit", "sparknlp.base.has_recursive_transform", "sparknlp.base.image_assembler", "sparknlp.base", "sparknlp.base.light_pipeline", "sparknlp.base.multi_document_assembler", "sparknlp.base.prompt_assembler", "sparknlp.base.recursive_pipeline", "sparknlp.base.table_assembler", "sparknlp.base.token_assembler", "sparknlp.common.annotator_approach", "sparknlp.common.annotator_model", "sparknlp.common.annotator_properties", "sparknlp.common.annotator_type", "sparknlp.common.coverage_result", "sparknlp.common", "sparknlp.common.match_strategy", "sparknlp.common.properties", "sparknlp.common.read_as", "sparknlp.common.recursive_annotator_approach", "sparknlp.common.storage", "sparknlp.common.utils", "sparknlp.functions", "sparknlp", "sparknlp.internal.annotator_java_ml", "sparknlp.internal.annotator_transformer", "sparknlp.internal.extended_java_wrapper", "sparknlp.internal", "sparknlp.internal.params_getters_setters", "sparknlp.internal.recursive", "sparknlp.logging.comet", "sparknlp.logging", "sparknlp.partition", "sparknlp.partition.partition", "sparknlp.partition.partition_properties", "sparknlp.partition.partition_transformer", "sparknlp.pretrained", "sparknlp.pretrained.pretrained_pipeline", "sparknlp.pretrained.resource_downloader", "sparknlp.pretrained.utils", "sparknlp.reader.enums", "sparknlp.reader", "sparknlp.reader.pdf_to_text", "sparknlp.reader.reader2doc", "sparknlp.reader.reader2image", "sparknlp.reader.reader2table", "sparknlp.reader.reader_assembler", "sparknlp.reader.sparknlp_reader", "sparknlp.training.conll", "sparknlp.training.conllu", "sparknlp.training", "sparknlp.training.pos", "sparknlp.training.pub_tator", "sparknlp.training.spacy_to_annotation", "sparknlp.training.tfgraphs", "sparknlp.upload_to_hub", "sparknlp.util", "API Reference", "Comet - A meta machine learning platform", "MLflow - a platform for the machine learning lifecycle", "Third Party Projects", "Annotation", "Annotators", "Setting up your own pipeline", "Helper Functions", "User Guide", "Light Pipelines", "Pretrained Pipelines", "Loading datasets for training"], "terms": {"6": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532], "1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532], "5": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532], "3": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532], "4": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532], "packag": [0, 91, 92, 95, 98, 160, 161, 162, 234, 260, 349, 350, 353, 356, 419, 420, 421, 494, 523, 524], "subpackag": 0, "annot": [0, 1, 3, 4, 197, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 221, 225, 226, 227, 228, 229, 232, 234, 236, 238, 239, 240, 241, 242, 246, 247, 249, 254, 256, 261, 263, 264, 457, 458, 459, 460, 461, 462, 463, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 479, 481, 485, 486, 487, 488, 489, 491, 493, 494, 497, 499, 501, 502, 503, 507, 508, 510, 515, 517, 522, 523, 528, 529, 530, 531, 532], "submodul": 0, "modul": [0, 261, 296, 343, 362, 381, 383, 384, 386, 391, 396, 405, 410, 411, 413, 416, 426, 443, 450, 455, 467, 479, 491, 496, 500, 505, 514], "content": [0, 65, 71, 72, 73, 74, 75, 76, 77, 98, 117, 158, 199, 210, 236, 237, 238, 245, 246, 247, 249, 250, 254, 525, 531], "base": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 228, 229, 230, 231, 232, 234, 236, 237, 238, 240, 241, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 255, 256, 258, 259, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 474, 475, 476, 479, 481, 483, 487, 489, 493, 494, 507, 509, 510, 522, 526, 527, 530], "common": [0, 1, 50, 114, 122, 131, 146, 147, 174, 175, 178, 190, 199, 280, 309, 350, 373, 380, 390, 401, 406, 407, 434, 435, 438, 449, 458, 487, 529], "intern": [0, 1, 103, 175, 179, 183, 193, 196, 212, 249, 361, 408, 409, 435, 439, 442, 453, 456, 472, 476, 481, 487, 498, 510], "log": [0, 1, 28, 44, 50, 140, 146, 150, 155, 166, 173, 221, 261, 286, 303, 309, 400, 406, 409, 415, 425, 433, 481, 487], "partit": [0, 1, 81, 100, 116, 245, 252, 340, 358, 375, 487, 506, 512], "pretrain": [0, 1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 83, 84, 85, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 126, 127, 128, 129, 130, 131, 133, 134, 136, 139, 140, 141, 142, 143, 151, 152, 153, 155, 156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 187, 189, 193, 195, 196, 201, 202, 203, 208, 226, 234, 261, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 390, 393, 394, 399, 400, 401, 402, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 453, 456, 460, 461, 462, 468, 486, 487, 494, 522, 525, 529], "reader": [0, 1, 236, 241, 487, 497, 502], "train": [0, 1, 7, 9, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 66, 67, 70, 71, 78, 80, 84, 85, 91, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 106, 107, 109, 110, 111, 113, 115, 116, 118, 119, 120, 125, 127, 128, 130, 133, 134, 137, 139, 140, 141, 144, 149, 150, 152, 155, 157, 158, 163, 166, 167, 168, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 190, 191, 196, 199, 208, 221, 224, 234, 240, 261, 265, 268, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 318, 324, 325, 329, 330, 337, 339, 342, 344, 349, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 365, 366, 368, 369, 370, 372, 374, 375, 377, 378, 379, 385, 387, 388, 389, 393, 394, 397, 399, 400, 401, 404, 408, 409, 412, 415, 417, 418, 422, 425, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 449, 451, 456, 458, 468, 481, 484, 487, 494, 501, 522, 526, 527, 529, 530], "annotation_audio": [0, 1, 487], "annotationaudio": [0, 1, 3, 263], "annotation_imag": [0, 1, 487], "annotationimag": [0, 1, 4, 162, 208, 240, 264, 421, 468, 501], "function": [0, 1, 69, 70, 71, 73, 77, 103, 114, 117, 162, 163, 179, 201, 210, 241, 261, 327, 329, 330, 332, 336, 361, 373, 376, 421, 422, 439, 460, 470, 502, 521, 529], "explode_annotations_col": [0, 1, 226, 486], "filter_by_annotations_col": [0, 1, 226, 486], "map_annot": [0, 1, 226, 486], "map_annotations_arrai": [0, 1, 226, 486], "map_annotations_col": [0, 1, 226, 486], "map_annotations_strict": [0, 1, 226, 486], "upload_to_hub": [0, 1, 487], "pushtohub": [0, 1, 258, 519], "util": [0, 1, 7, 71, 97, 102, 139, 143, 154, 155, 171, 177, 185, 211, 214, 219, 222, 224, 228, 231, 239, 265, 330, 355, 360, 399, 403, 414, 415, 431, 437, 445, 471, 478, 479, 482, 484, 487, 488, 492, 500], "conllgener": [0, 1, 259, 520], "embeddingsdataframeutil": [0, 1, 102, 259, 360, 520], "get_config_path": [0, 1, 259, 520], "read": [0, 1, 28, 50, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 88, 100, 116, 125, 128, 130, 131, 132, 133, 134, 139, 143, 144, 150, 155, 157, 166, 183, 184, 185, 193, 196, 198, 200, 207, 209, 222, 224, 225, 227, 228, 234, 235, 236, 237, 238, 241, 243, 245, 246, 247, 250, 252, 253, 254, 255, 286, 309, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 345, 347, 358, 375, 385, 388, 389, 390, 392, 393, 394, 399, 403, 404, 409, 415, 417, 425, 442, 444, 445, 453, 456, 457, 459, 466, 469, 482, 484, 485, 487, 488, 494, 496, 497, 498, 499, 502, 505, 506, 507, 508, 511, 512, 513, 515, 516, 522, 526, 532], "start": [0, 1, 7, 14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 105, 123, 125, 139, 140, 155, 160, 161, 162, 199, 221, 234, 261, 265, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 364, 382, 385, 399, 400, 415, 419, 420, 421, 458, 481, 487, 494, 522, 525, 527, 530, 531], "version": [0, 1, 9, 87, 95, 99, 101, 106, 107, 168, 175, 177, 210, 232, 240, 241, 260, 268, 346, 353, 357, 359, 365, 366, 408, 409, 428, 435, 437, 448, 470, 476, 481, 487, 492, 493, 498, 501, 502, 526, 531], "audio": [1, 3, 5, 198, 214, 218, 234, 263, 383, 457, 477, 487, 494], "classifier_dl": [1, 5, 383, 487], "cleaner": [1, 5, 383, 487], "coref": [1, 5, 383, 487], "cv": [1, 5, 383, 487], "depend": [1, 2, 5, 63, 96, 107, 112, 120, 122, 123, 125, 127, 140, 170, 183, 196, 214, 218, 221, 258, 260, 262, 318, 322, 354, 366, 371, 379, 380, 382, 383, 385, 387, 400, 430, 442, 456, 477, 481, 487, 519], "embed": [1, 2, 5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 69, 70, 74, 77, 123, 139, 140, 141, 142, 147, 160, 161, 165, 181, 200, 201, 202, 208, 209, 214, 221, 226, 232, 240, 258, 259, 262, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 327, 329, 333, 336, 382, 383, 399, 400, 401, 402, 407, 419, 420, 424, 440, 459, 460, 461, 468, 469, 481, 486, 487, 493, 501, 520, 525], "er": [1, 5, 383, 487], "keyword_extract": [1, 5, 383, 487], "ld_dl": [1, 5, 383, 487], "matcher": [1, 5, 383, 487], "ner": [1, 5, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 118, 119, 123, 190, 208, 226, 234, 240, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 377, 378, 382, 383, 449, 468, 486, 487, 494, 501, 522], "openai": [1, 5, 109, 166, 368, 383, 425, 487], "param": [1, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 221, 224, 231, 232, 236, 237, 238, 245, 246, 247, 249, 250, 256, 319, 383, 399, 440, 475, 476, 481, 487, 492, 493, 497, 498, 511, 517], "po": [1, 2, 5, 11, 15, 18, 21, 23, 25, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 84, 85, 123, 136, 139, 140, 191, 196, 208, 214, 218, 226, 240, 251, 252, 262, 270, 273, 276, 279, 281, 283, 288, 290, 292, 294, 298, 306, 308, 313, 315, 316, 342, 344, 382, 383, 399, 400, 451, 456, 468, 477, 486, 487, 501, 512, 514, 525, 529, 530, 531], "sentenc": [1, 5, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 82, 84, 85, 87, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 147, 152, 158, 163, 170, 179, 181, 183, 187, 190, 192, 194, 196, 200, 202, 208, 209, 212, 213, 221, 237, 240, 252, 253, 254, 255, 256, 258, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 327, 329, 330, 331, 332, 333, 334, 335, 336, 341, 342, 344, 346, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 407, 412, 418, 422, 430, 439, 440, 442, 447, 449, 452, 454, 456, 459, 461, 468, 469, 472, 473, 481, 487, 498, 501, 512, 513, 515, 516, 517, 526, 530, 531], "sentiment": [1, 2, 5, 28, 44, 50, 103, 120, 179, 214, 218, 258, 262, 286, 303, 309, 361, 379, 383, 439, 477, 487, 519, 526, 527], "seq2seq": [1, 5, 383, 487], "similar": [1, 5, 66, 91, 104, 114, 115, 125, 127, 162, 178, 324, 349, 363, 373, 374, 383, 385, 387, 421, 438, 487], "spell_check": [1, 5, 383, 487], "token": [1, 2, 5, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 84, 85, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 118, 119, 120, 122, 123, 125, 128, 129, 130, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 149, 150, 152, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 188, 194, 196, 199, 201, 208, 211, 213, 214, 218, 221, 240, 252, 255, 256, 258, 262, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 342, 344, 347, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 375, 376, 377, 378, 379, 380, 382, 383, 385, 388, 389, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 409, 412, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 454, 456, 458, 460, 468, 471, 473, 477, 481, 487, 501, 512, 516, 517, 519, 526, 530, 531], "w": [1, 5, 122, 133, 139, 144, 191, 193, 380, 383, 393, 399, 404, 451, 453, 487], "chunk2_doc": [1, 5, 383, 487], "chunk2doc": [1, 5, 10, 199, 269, 458], "chunker": [1, 5, 97, 355, 383, 487], "dataframe_optim": [1, 5, 383, 487], "dataframeoptim": [1, 5, 81, 340], "tostringdict": [1, 5, 81, 340], "date2_chunk": [1, 5, 383, 487], "date2chunk": [1, 5, 82, 341], "document_character_text_splitt": [1, 5, 383, 487], "documentcharactertextsplitt": [1, 5, 86, 345], "document_norm": [1, 5, 383, 487], "documentnorm": [1, 5, 86, 87, 88, 345, 346, 347], "document_token_splitt": [1, 5, 383, 487], "documenttokensplitt": [1, 5, 88, 347], "document_token_splitter_test": [1, 5, 383, 487], "graph_extract": [1, 5, 383, 487], "graphextract": [1, 5, 123, 204, 382, 463], "lemmat": [1, 5, 157, 187, 211, 213, 258, 383, 417, 447, 471, 473, 487], "lemmatizermodel": [1, 5, 128, 388], "n_gram_gener": [1, 5, 383, 487], "ngramgener": [1, 5, 97, 135, 355, 395], "normal": [1, 5, 28, 67, 78, 79, 80, 87, 130, 155, 158, 187, 201, 203, 211, 213, 221, 237, 286, 325, 337, 338, 339, 346, 383, 389, 415, 418, 447, 460, 462, 471, 473, 481, 487, 498, 526, 527], "normalizermodel": [1, 5, 144, 404], "stemmer": [1, 5, 187, 383, 447, 487], "stop_words_clean": [1, 5, 383, 487], "stopwordsclean": [1, 5, 187, 201, 213, 447, 460, 473], "tf_ner_dl_graph_build": [1, 5, 383, 487], "tfnerdlgraphbuild": [1, 5, 188, 448], "tfnerdlgraphbuildermodel": [1, 5, 188, 448], "token2_chunk": [1, 5, 383, 487], "token2chunk": [1, 5, 194, 454], "audio_assembl": [1, 7, 8, 9, 197, 265, 267, 268, 467, 487], "audioassembl": [1, 7, 8, 9, 197, 198, 265, 267, 268, 457], "doc2_chunk": [1, 197, 467, 487], "doc2chunk": [1, 10, 197, 199, 269, 458], "document_assembl": [1, 51, 143, 181, 197, 212, 310, 403, 440, 467, 472, 487], "documentassembl": [1, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 199, 200, 201, 203, 209, 211, 212, 213, 234, 238, 246, 252, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 322, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 459, 460, 462, 469, 471, 472, 473, 494, 499, 507, 512, 522, 526], "embeddings_finish": [1, 197, 467, 487], "embeddingsfinish": [1, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 197, 201, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 460], "finish": [1, 158, 181, 197, 201, 203, 204, 209, 211, 418, 440, 460, 462, 463, 467, 471, 487], "gguf_ranking_finish": [1, 197, 467, 487], "ggufrankingfinish": [1, 197, 203, 462], "graph_finish": [1, 197, 467, 487], "graphfinish": [1, 123, 197, 204, 382, 463], "has_recursive_fit": [1, 197, 467, 487], "hasrecursivefit": [1, 197, 205, 206, 464, 465], "has_recursive_transform": [1, 197, 467, 487], "hasrecursivetransform": [1, 197, 206, 465], "image_assembl": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 162, 197, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 360, 421, 467, 487], "imageassembl": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 162, 197, 207, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 360, 421, 466], "light_pipelin": [1, 197, 467, 487], "lightpipelin": [1, 197, 208, 240, 468, 501, 530], "multi_document_assembl": [1, 197, 467, 487], "multidocumentassembl": [1, 13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 197, 209, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 310, 311, 312, 469], "prompt_assembl": [1, 197, 467, 487], "promptassembl": [1, 197, 210, 470], "recursive_pipelin": [1, 197, 232, 467, 487, 493], "recursivepipelin": [1, 197, 205, 206, 211, 217, 464, 465, 471, 476], "recursivepipelinemodel": [1, 197, 211, 471], "table_assembl": [1, 51, 197, 310, 467, 487], "tableassembl": [1, 51, 197, 212, 310, 472], "token_assembl": [1, 197, 467, 487], "tokenassembl": [1, 197, 213, 473], "annotator_approach": [1, 214, 479, 487], "annotatorapproach": [1, 28, 44, 50, 84, 85, 100, 116, 117, 122, 128, 130, 133, 134, 139, 140, 144, 152, 155, 157, 158, 181, 183, 184, 185, 191, 193, 196, 214, 215, 223, 234, 474, 483, 494], "annotator_model": [1, 214, 479, 487], "annotatormodel": [1, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 191, 192, 193, 194, 196, 208, 212, 214, 216, 217, 238, 241, 468, 475, 502], "annotator_properti": [1, 214, 479, 487], "annotatorproperti": [1, 10, 199, 213, 214, 215, 216, 217, 223, 476], "annotator_typ": [1, 2, 3, 4, 214, 262, 263, 264, 479, 487], "annotatortyp": [1, 2, 3, 4, 22, 97, 135, 199, 200, 207, 209, 214, 218, 226, 247, 262, 263, 264, 280, 355, 395, 458, 459, 466, 469, 477, 508, 525], "coverage_result": [1, 214, 479, 487], "coverageresult": [1, 117, 214, 219, 376, 478], "match_strategi": [1, 214, 479, 487], "matchstrategi": [1, 131, 214, 220, 390, 480], "properti": [1, 91, 175, 205, 206, 214, 217, 237, 349, 435, 464, 465, 476, 479, 487, 498], "hasaudiofeatureproperti": [1, 7, 8, 9, 214, 221, 481], "hasbatchedannot": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 91, 92, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 140, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 481], "hasbatchedannotateaudio": [1, 7, 8, 9, 214, 221, 481], "hasbatchedannotateimag": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 214, 221, 481], "hascandidatelabelsproperti": [1, 17, 18, 23, 27, 32, 36, 49, 56, 65, 66, 71, 72, 73, 74, 75, 76, 77, 214, 221, 481], "hascasesensitiveproperti": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 63, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 214, 221, 224, 481], "hasclassifieractivationproperti": [1, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 214, 221, 481], "hasclstokenproperti": [1, 95, 214, 221, 481], "hasembeddingsproperti": [1, 63, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 141, 181, 214, 221, 401, 481], "hasenablecachingproperti": [1, 100, 116, 181, 214, 221, 481], "hasengin": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 94, 96, 98, 99, 102, 103, 105, 110, 111, 115, 118, 119, 120, 127, 140, 143, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 214, 221, 481], "hasgeneratorproperti": [1, 9, 69, 70, 79, 214, 221, 481], "hasimagefeatureproperti": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 214, 221, 481], "hasllamacppproperti": [1, 160, 161, 162, 214, 221, 481], "haslongmaxsentencelengthlimit": [1, 38, 39, 40, 105, 214, 221, 481], "hasmaxsentencelengthlimit": [1, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 41, 42, 43, 45, 46, 47, 52, 53, 54, 55, 57, 58, 63, 91, 93, 94, 95, 96, 98, 99, 101, 104, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 214, 221, 481], "hasrescalefactor": [1, 65, 66, 71, 72, 73, 74, 75, 76, 77, 78, 79, 102, 214, 221, 481], "read_a": [1, 84, 85, 122, 128, 130, 133, 134, 139, 144, 150, 157, 184, 185, 193, 214, 224, 225, 252, 253, 342, 344, 380, 388, 389, 393, 394, 399, 404, 409, 417, 444, 445, 453, 479, 484, 485, 487, 512, 513], "reada": [1, 84, 85, 117, 122, 128, 130, 133, 134, 139, 144, 150, 157, 184, 185, 190, 193, 214, 222, 224, 225, 252, 253, 342, 344, 376, 380, 388, 389, 393, 394, 399, 404, 409, 417, 444, 445, 449, 453, 482, 484, 485, 512, 513], "recursive_annotator_approach": [1, 214, 479, 487], "recursiveannotatorapproach": [1, 214, 223, 483], "storag": [1, 117, 122, 130, 214, 376, 380, 389, 479, 487], "hasstorag": [1, 117, 122, 130, 214, 224, 484], "hasstoragemodel": [1, 117, 122, 130, 214, 224, 484], "hasstorageopt": [1, 214, 224, 484], "hasstorageref": [1, 28, 44, 50, 63, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 127, 140, 214, 224, 484], "externalresourc": [1, 130, 134, 214, 225, 389, 394, 485], "regexrul": [1, 214, 225, 485], "annotator_java_ml": [1, 227, 487, 491], "annotatorjavamlread": [1, 215, 216, 223, 227, 228, 229, 488], "annotator_transform": [1, 227, 487, 491], "annotatortransform": [1, 10, 181, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 213, 227, 229, 246, 247, 248, 249, 489], "extended_java_wrapp": [1, 227, 487, 491], "extendedjavawrapp": [1, 227, 230, 236, 250, 252, 253, 254, 255, 256, 490], "params_getters_sett": [1, 227, 487, 491], "paramsgetterssett": [1, 141, 149, 150, 215, 216, 223, 227, 229, 231, 492], "recurs": [1, 191, 211, 223, 227, 451, 471, 483, 487, 491], "recursiveestim": [1, 205, 223, 227, 232, 493], "recursivetransform": [1, 206, 227, 232, 493], "comet": [1, 233, 487, 495, 524], "cometlogg": [1, 233, 234, 494, 522], "partition_properti": [1, 235, 487, 496], "haschunkerproperti": [1, 235, 237, 238, 498], "hasemailreaderproperti": [1, 235, 237, 238, 246, 248, 249, 498], "hasexcelreaderproperti": [1, 235, 237, 238, 246, 248, 249, 498], "hashtmlreaderproperti": [1, 235, 237, 238, 246, 247, 248, 249, 498], "haspdfproperti": [1, 235, 237, 247, 249, 498], "haspowerpointproperti": [1, 235, 237, 238, 246, 248, 249, 498], "hasreaderproperti": [1, 235, 237, 246, 247, 248, 249, 498], "hastextreaderproperti": [1, 235, 237, 238, 246, 248, 249, 498], "partition_transform": [1, 235, 487, 496], "partitiontransform": [1, 235, 238, 499], "pretrained_pipelin": [1, 239, 487, 500], "pretrainedpipelin": [1, 10, 202, 208, 226, 239, 240, 269, 461, 468, 486, 501, 525, 530, 531], "resource_download": [1, 239, 487, 500], "resourcedownload": [1, 239, 241, 502, 526, 531], "printprogress": [1, 239, 242, 503], "enum": [1, 243, 487, 505], "textstrippertyp": [1, 243, 244, 245, 504, 506], "pdf_to_text": [1, 243, 487, 505], "pdftotext": [1, 243, 245, 506], "reader2doc": [1, 243, 249, 487, 505, 510], "reader2imag": [1, 243, 249, 487, 505, 510], "reader2t": [1, 243, 249, 487, 505, 510], "reader_assembl": [1, 243, 487, 505], "readerassembl": [1, 243, 249, 510], "sparknlp_read": [1, 243, 487, 505], "sparknlpread": [1, 243, 250, 511], "conll": [1, 84, 85, 139, 140, 141, 251, 253, 342, 344, 399, 400, 401, 487, 513, 514, 529], "conllu": [1, 83, 84, 85, 128, 251, 342, 344, 388, 487, 514, 529], "pub_tat": [1, 251, 487, 514], "pubtat": [1, 251, 255, 516, 529], "spacy_to_annot": [1, 251, 487, 514], "spacytoannot": [1, 251, 256, 517], "tfgraph": [1, 251, 487, 514], "arraytyp": [1, 2, 199, 226, 262, 458, 486], "copi": [1, 2, 3, 4, 241, 262, 263, 264, 502], "datatyp": [1, 2, 226, 262, 486], "fromrow": [1, 2, 262], "torow": [1, 2, 262], "check_for_required_info": [1, 258, 519], "create_doc": [1, 258, 519], "list_of_task": [1, 258, 519], "push_to_hub": [1, 258, 519], "unzip_directori": [1, 258, 519], "zip_directori": [1, 258, 519], "exportconllfil": [1, 259, 520], "emptyimagerow": [1, 102, 259, 360, 520], "imageschema": [1, 102, 259, 360, 520], "none": [1, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 193, 194, 196, 198, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 216, 217, 221, 229, 232, 234, 236, 238, 240, 241, 250, 256, 258, 265, 267, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 393, 394, 399, 400, 401, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 453, 454, 456, 457, 459, 460, 461, 463, 464, 465, 466, 468, 469, 470, 472, 475, 476, 481, 487, 489, 490, 493, 494, 497, 499, 501, 502, 511, 517, 519, 527], "sourc": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 234, 236, 237, 238, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 255, 256, 258, 259, 260, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 494, 497, 498, 499, 501, 502, 503, 504, 506, 507, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 523], "gpu": [1, 79, 91, 92, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 221, 318, 338, 349, 350, 419, 420, 421, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 481, 487], "fals": [1, 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 204, 208, 209, 210, 212, 213, 221, 226, 234, 237, 240, 245, 246, 247, 249, 250, 252, 253, 254, 256, 262, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 402, 403, 404, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 459, 460, 461, 462, 463, 468, 469, 470, 472, 473, 481, 486, 487, 494, 498, 501, 506, 507, 508, 510, 511, 512, 513, 515, 517, 522, 525, 526, 527, 532], "apple_silicon": [1, 487], "aarch64": [1, 487], "memori": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 92, 103, 117, 160, 161, 162, 221, 224, 236, 238, 260, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 349, 350, 361, 376, 419, 420, 421, 481, 484, 487, 497, 499], "16g": [1, 260, 487], "cache_fold": [1, 487], "log_fold": [1, 487], "cluster_tmp_dir": [1, 487], "real_time_output": [1, 487], "output_level": [1, 487], "pyspark": [1, 2, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 203, 207, 208, 209, 212, 213, 224, 226, 230, 232, 234, 236, 240, 245, 246, 249, 250, 252, 253, 254, 255, 260, 262, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 462, 466, 468, 469, 472, 473, 484, 486, 487, 490, 493, 494, 497, 501, 506, 507, 510, 511, 512, 513, 515, 516, 526, 527], "instanc": [1, 44, 143, 161, 228, 303, 348, 403, 408, 409, 420, 476, 481, 487, 488, 492, 498], "default": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 191, 192, 193, 196, 199, 200, 201, 202, 203, 204, 207, 208, 209, 212, 217, 221, 225, 226, 234, 237, 240, 241, 245, 246, 249, 252, 253, 254, 255, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 402, 403, 404, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 448, 451, 452, 453, 456, 458, 459, 460, 461, 462, 463, 466, 468, 469, 472, 481, 485, 486, 487, 494, 501, 502, 506, 507, 510, 512, 513, 515, 516, 526], "paramet": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 221, 224, 225, 226, 231, 232, 234, 236, 237, 238, 240, 241, 245, 246, 247, 249, 250, 252, 253, 254, 255, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 476, 481, 484, 485, 486, 487, 492, 493, 494, 497, 498, 499, 501, 502, 506, 507, 508, 510, 511, 512, 513, 515, 516], "spark": [1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 213, 214, 222, 224, 226, 227, 229, 230, 234, 236, 238, 240, 241, 245, 246, 247, 249, 250, 252, 253, 254, 255, 256, 259, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 403, 404, 406, 407, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 465, 466, 467, 468, 469, 470, 471, 472, 473, 479, 482, 484, 486, 487, 489, 490, 491, 494, 497, 499, 501, 502, 506, 507, 508, 510, 511, 512, 513, 515, 516, 517, 520, 521, 523, 524, 525, 526, 528, 529, 530, 532], "nlp": [1, 2, 3, 4, 5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 87, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 142, 143, 144, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 197, 199, 200, 201, 202, 207, 208, 209, 211, 212, 213, 214, 227, 234, 236, 238, 240, 241, 246, 247, 249, 252, 253, 254, 255, 262, 263, 264, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 346, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 387, 388, 389, 393, 394, 399, 400, 401, 402, 403, 404, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 453, 456, 458, 459, 460, 461, 466, 467, 468, 469, 471, 472, 473, 479, 487, 491, 494, 497, 499, 501, 502, 507, 508, 510, 512, 513, 515, 516, 521, 523, 524, 525, 526, 527, 528, 529, 530, 532], "The": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 138, 139, 140, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 192, 193, 196, 200, 202, 203, 207, 208, 209, 210, 212, 221, 224, 226, 234, 236, 238, 240, 241, 246, 247, 249, 252, 253, 254, 255, 256, 258, 262, 263, 264, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 345, 347, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 398, 399, 400, 402, 403, 404, 406, 407, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 452, 453, 456, 459, 461, 462, 466, 468, 469, 470, 472, 481, 484, 486, 487, 494, 497, 499, 501, 502, 507, 508, 510, 512, 513, 515, 516, 517, 519, 522, 525, 526, 527, 529, 530, 532], "would": [1, 28, 63, 86, 97, 112, 131, 155, 286, 322, 345, 355, 371, 390, 415, 487, 526], "result": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 221, 226, 234, 240, 246, 247, 252, 253, 256, 258, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 481, 486, 487, 494, 501, 507, 508, 512, 513, 517, 519, 522, 523, 525, 526, 527, 530, 531], "equival": [1, 17, 18, 23, 27, 32, 36, 49, 56, 208, 275, 276, 281, 285, 290, 294, 308, 315, 468, 487, 530], "sparksess": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 130, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 207, 224, 252, 253, 254, 255, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 376, 377, 378, 379, 389, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 466, 484, 487, 512, 513, 515, 516], "builder": [1, 188, 260, 448, 487], "appnam": [1, 260, 487], "master": [1, 260, 487], "local": [1, 5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 125, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 187, 208, 221, 240, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 385, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 447, 468, 481, 487, 501, 530], "config": [1, 260, 487, 523], "driver": [1, 162, 260, 421, 487], "serial": [1, 7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 122, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 260, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 380, 387, 400, 408, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 487], "org": [1, 69, 70, 71, 72, 73, 74, 75, 76, 77, 138, 139, 140, 142, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 196, 208, 221, 226, 236, 240, 250, 252, 260, 398, 399, 400, 402, 422, 456, 468, 486, 487, 497, 501, 511, 512, 523, 532], "apach": [1, 109, 171, 209, 260, 368, 431, 469, 487], "kryoseri": [1, 260, 487], "buffer": [1, 94, 117, 260, 352, 376, 487], "max": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 72, 74, 75, 76, 91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 125, 181, 185, 203, 221, 236, 260, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 331, 333, 334, 335, 349, 351, 352, 353, 354, 356, 357, 359, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 385, 440, 445, 462, 481, 487, 497], "2000m": [1, 260, 487], "maxresults": [1, 260, 487], "0": [1, 7, 8, 9, 10, 11, 28, 44, 50, 63, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 127, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 185, 193, 194, 196, 200, 201, 202, 203, 208, 209, 210, 212, 213, 221, 226, 230, 232, 234, 238, 240, 241, 245, 246, 249, 250, 253, 254, 255, 256, 260, 265, 267, 268, 269, 270, 286, 303, 309, 322, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 387, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 445, 448, 453, 454, 456, 459, 460, 461, 462, 468, 469, 470, 472, 473, 476, 481, 486, 487, 490, 492, 493, 494, 498, 499, 501, 502, 506, 507, 510, 511, 513, 515, 516, 517, 522, 525, 526, 531, 532], "jar": [1, 260, 487], "com": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 212, 236, 238, 250, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 393, 394, 399, 400, 401, 403, 404, 406, 407, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 453, 456, 472, 487, 497, 499, 511], "johnsnowlab": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 87, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 201, 202, 212, 238, 246, 249, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 346, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 393, 394, 399, 400, 401, 403, 404, 406, 407, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 453, 456, 460, 461, 472, 487, 499, 507, 510], "nlp_2": [1, 260, 487], "12": [1, 91, 118, 119, 120, 125, 131, 132, 138, 152, 183, 194, 208, 226, 240, 254, 256, 260, 349, 377, 378, 379, 385, 390, 392, 398, 412, 442, 454, 468, 486, 487, 501, 515, 517, 525], "releas": [1, 9, 87, 91, 95, 96, 98, 109, 110, 111, 118, 119, 163, 164, 167, 168, 171, 173, 174, 177, 178, 179, 268, 346, 349, 353, 354, 356, 368, 369, 370, 377, 378, 422, 423, 427, 428, 431, 433, 434, 437, 438, 439, 487], "getorcr": [1, 260, 487], "bool": [1, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 60, 69, 70, 71, 72, 73, 74, 75, 76, 77, 81, 86, 87, 88, 92, 93, 94, 97, 101, 102, 106, 110, 115, 118, 122, 123, 127, 130, 131, 134, 135, 138, 139, 140, 144, 150, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 187, 192, 193, 196, 199, 201, 202, 203, 204, 208, 210, 212, 217, 221, 224, 234, 236, 237, 240, 241, 245, 246, 249, 252, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 318, 327, 329, 330, 331, 332, 333, 334, 335, 336, 340, 345, 346, 347, 350, 351, 352, 355, 359, 360, 365, 369, 374, 377, 380, 382, 387, 389, 390, 394, 395, 398, 399, 400, 404, 409, 414, 415, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 447, 452, 453, 456, 458, 460, 461, 462, 463, 468, 470, 472, 476, 481, 484, 487, 494, 497, 498, 501, 502, 506, 507, 510, 512], "option": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 127, 128, 130, 133, 134, 139, 140, 143, 144, 150, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 193, 196, 198, 200, 203, 207, 208, 209, 221, 224, 225, 226, 232, 234, 236, 237, 238, 240, 241, 245, 250, 252, 253, 254, 255, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 345, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 387, 388, 389, 393, 394, 399, 400, 403, 404, 409, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 453, 456, 457, 459, 462, 466, 468, 469, 484, 485, 486, 487, 493, 494, 497, 499, 501, 502, 506, 511, 512, 513, 515, 516, 526], "whether": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 122, 123, 130, 131, 132, 134, 135, 138, 139, 140, 141, 144, 146, 150, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 187, 192, 193, 196, 199, 201, 202, 203, 204, 208, 210, 212, 213, 217, 221, 224, 237, 238, 240, 245, 246, 249, 252, 255, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 380, 382, 389, 390, 392, 394, 395, 398, 399, 400, 401, 404, 406, 409, 414, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 447, 452, 453, 456, 458, 460, 461, 462, 463, 468, 470, 472, 473, 476, 481, 484, 487, 498, 501, 506, 507, 510, 512, 516, 527], "enabl": [1, 81, 92, 120, 140, 160, 161, 162, 167, 173, 174, 177, 181, 184, 201, 203, 221, 237, 238, 245, 246, 247, 340, 350, 379, 400, 419, 420, 421, 427, 433, 434, 437, 440, 444, 462, 481, 487, 499, 506, 507, 508], "acceler": [1, 79, 103, 120, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 318, 338, 361, 379, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 487], "must": [1, 81, 92, 100, 116, 128, 130, 133, 134, 146, 150, 157, 158, 160, 161, 162, 184, 185, 199, 221, 226, 234, 252, 340, 348, 350, 358, 375, 388, 389, 393, 394, 406, 409, 417, 418, 419, 420, 421, 444, 445, 458, 481, 486, 487, 494, 512], "set": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 112, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 221, 224, 225, 231, 234, 237, 238, 241, 245, 246, 247, 249, 252, 260, 261, 262, 263, 264, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 302, 303, 304, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 448, 451, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 476, 481, 484, 485, 487, 492, 493, 494, 498, 502, 506, 507, 508, 510, 512, 522, 526, 529, 530], "up": [1, 7, 9, 28, 44, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 95, 100, 101, 105, 106, 107, 112, 114, 116, 125, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 260, 261, 265, 268, 286, 303, 318, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 348, 353, 358, 359, 364, 365, 366, 371, 373, 375, 385, 406, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481, 487, 522, 526, 529, 530], "correctli": [1, 487], "appl": [1, 7, 8, 94, 111, 119, 265, 267, 352, 370, 378, 487], "silicon": [1, 7, 8, 265, 267, 487], "support": [1, 7, 8, 9, 28, 44, 68, 69, 70, 71, 88, 91, 95, 101, 102, 105, 106, 107, 125, 140, 144, 155, 162, 169, 170, 172, 175, 177, 178, 187, 207, 210, 212, 221, 236, 238, 246, 247, 265, 267, 268, 286, 303, 318, 326, 327, 329, 330, 347, 349, 353, 359, 360, 364, 365, 366, 385, 400, 404, 415, 421, 429, 430, 432, 435, 437, 438, 447, 466, 470, 472, 487, 497, 499, 507, 508, 523], "maco": [1, 487], "linux": [1, 487], "str": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 221, 224, 225, 226, 231, 234, 236, 237, 238, 240, 241, 245, 247, 249, 250, 252, 253, 254, 255, 258, 262, 263, 264, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 345, 346, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 448, 451, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 476, 481, 484, 485, 486, 487, 492, 494, 497, 498, 499, 501, 502, 506, 508, 510, 511, 512, 513, 515, 516, 519], "how": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 84, 85, 86, 88, 91, 92, 93, 95, 96, 97, 98, 99, 101, 103, 105, 109, 110, 112, 114, 118, 120, 122, 123, 127, 128, 130, 133, 134, 138, 139, 140, 144, 146, 150, 154, 157, 160, 161, 162, 164, 169, 184, 185, 192, 193, 196, 200, 204, 209, 210, 220, 221, 222, 224, 225, 247, 252, 253, 256, 260, 261, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 323, 324, 325, 330, 331, 332, 334, 335, 336, 337, 338, 339, 342, 344, 345, 347, 349, 350, 351, 353, 354, 355, 356, 357, 359, 361, 364, 368, 369, 371, 373, 377, 379, 380, 382, 387, 388, 389, 393, 394, 398, 399, 400, 404, 406, 409, 414, 417, 419, 420, 421, 423, 429, 444, 445, 452, 453, 456, 459, 463, 469, 470, 480, 481, 482, 484, 485, 487, 508, 512, 513, 517, 522, 526, 531], "much": [1, 17, 18, 23, 27, 28, 32, 36, 49, 51, 56, 91, 95, 101, 109, 110, 111, 144, 167, 169, 196, 275, 276, 281, 285, 286, 290, 294, 308, 310, 315, 349, 353, 359, 368, 369, 370, 404, 427, 429, 456, 487, 526], "alloc": [1, 487], "locat": [1, 10, 13, 19, 37, 45, 122, 154, 240, 269, 271, 277, 295, 304, 380, 414, 487, 501, 526], "download": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 123, 127, 128, 130, 134, 139, 140, 142, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 240, 241, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 382, 387, 388, 389, 394, 399, 400, 402, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 487, 501, 502, 525, 526, 529, 530], "extract": [1, 10, 11, 14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 61, 67, 78, 79, 80, 84, 86, 88, 97, 117, 121, 122, 123, 124, 125, 130, 131, 132, 134, 138, 139, 140, 141, 142, 154, 155, 157, 181, 183, 185, 190, 194, 201, 202, 204, 208, 210, 221, 234, 236, 237, 240, 245, 246, 247, 269, 270, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 319, 325, 337, 338, 339, 342, 345, 347, 355, 376, 380, 381, 382, 384, 385, 389, 390, 392, 394, 398, 399, 400, 401, 402, 414, 415, 417, 440, 442, 445, 449, 454, 460, 461, 463, 468, 470, 481, 487, 494, 497, 498, 501, 506, 507, 508, 522], "model": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 138, 139, 140, 141, 143, 144, 145, 146, 147, 150, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 190, 191, 193, 196, 210, 216, 221, 224, 232, 234, 240, 241, 247, 249, 258, 259, 261, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 393, 394, 398, 399, 400, 401, 403, 404, 406, 407, 409, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 448, 449, 451, 453, 456, 470, 475, 481, 484, 487, 493, 494, 501, 502, 508, 510, 519, 520, 522, 523, 525, 529, 531, 532], "pipelin": [1, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 207, 208, 209, 211, 212, 213, 232, 234, 238, 239, 240, 241, 242, 245, 246, 247, 249, 258, 261, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 466, 468, 469, 471, 472, 473, 487, 493, 494, 499, 500, 501, 502, 503, 506, 507, 508, 510, 523, 525, 526, 529], "If": [1, 9, 15, 17, 18, 21, 23, 25, 27, 28, 30, 32, 34, 36, 39, 42, 44, 47, 49, 50, 54, 56, 57, 60, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 112, 117, 122, 127, 131, 132, 138, 139, 140, 141, 144, 150, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 188, 208, 221, 232, 234, 237, 241, 260, 268, 273, 275, 276, 279, 281, 283, 285, 286, 288, 290, 292, 294, 298, 301, 303, 306, 308, 309, 313, 315, 316, 318, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 348, 371, 376, 380, 387, 390, 392, 398, 399, 400, 401, 404, 409, 414, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 448, 468, 481, 487, 493, 494, 498, 502, 522, 524, 526], "user": [1, 69, 71, 72, 73, 74, 75, 76, 77, 102, 138, 139, 145, 146, 147, 160, 161, 162, 165, 168, 171, 176, 193, 210, 211, 234, 245, 247, 249, 250, 261, 327, 330, 331, 332, 333, 334, 335, 336, 360, 398, 399, 406, 407, 419, 420, 421, 424, 428, 431, 436, 453, 470, 471, 487, 494, 506, 508, 510, 511, 522], "home": [1, 125, 250, 385, 487, 511], "directori": [1, 162, 236, 241, 250, 421, 487, 497, 502, 511, 522], "under": [1, 2, 99, 107, 109, 120, 125, 171, 178, 262, 357, 366, 368, 379, 385, 431, 438, 487], "cache_pretrain": [1, 487], "us": [1, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 143, 146, 147, 150, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 192, 193, 194, 196, 199, 200, 201, 202, 208, 209, 210, 211, 212, 213, 220, 221, 226, 234, 236, 237, 238, 240, 241, 245, 246, 247, 249, 250, 252, 253, 254, 255, 261, 265, 267, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 347, 348, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 403, 406, 407, 409, 412, 414, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 448, 452, 453, 454, 456, 458, 459, 460, 461, 468, 469, 470, 471, 472, 473, 480, 481, 486, 487, 494, 497, 498, 499, 501, 502, 507, 508, 510, 511, 512, 513, 515, 516, 523, 524, 525, 526, 527, 529], "cluster": [1, 7, 95, 101, 104, 106, 115, 265, 353, 359, 363, 365, 374, 487], "temporarili": [1, 177, 437, 487], "file": [1, 3, 7, 8, 28, 44, 50, 65, 71, 72, 73, 74, 75, 76, 77, 84, 85, 87, 115, 117, 122, 128, 130, 133, 134, 139, 140, 141, 144, 150, 155, 157, 162, 183, 184, 185, 188, 193, 198, 212, 222, 224, 234, 236, 237, 238, 243, 245, 246, 247, 249, 250, 252, 253, 254, 255, 258, 263, 265, 267, 286, 303, 309, 323, 330, 331, 332, 333, 334, 335, 336, 342, 344, 346, 374, 376, 380, 388, 389, 393, 394, 399, 400, 401, 404, 409, 415, 417, 421, 442, 444, 445, 448, 453, 457, 472, 482, 484, 487, 494, 497, 498, 499, 505, 506, 507, 508, 510, 511, 512, 513, 515, 516, 519, 522, 532], "unpack": [1, 487], "index": [1, 2, 59, 61, 108, 113, 114, 125, 130, 192, 224, 252, 262, 319, 367, 372, 373, 385, 389, 452, 484, 487, 512], "wordembed": [1, 5, 90, 97, 112, 117, 140, 201, 355, 371, 376, 400, 460, 487], "By": [1, 114, 157, 163, 179, 187, 192, 201, 234, 348, 373, 417, 422, 439, 447, 452, 460, 487, 494, 522], "thi": [1, 2, 3, 4, 7, 8, 9, 11, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 91, 92, 93, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 112, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 128, 130, 131, 133, 134, 135, 138, 139, 140, 141, 142, 144, 146, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 192, 193, 194, 196, 198, 200, 201, 203, 204, 207, 208, 209, 210, 211, 212, 213, 217, 220, 221, 228, 232, 234, 236, 237, 238, 240, 241, 246, 247, 249, 250, 254, 256, 260, 261, 262, 263, 264, 265, 267, 268, 270, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 348, 349, 350, 351, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 368, 369, 371, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 388, 389, 390, 393, 394, 395, 398, 399, 400, 401, 402, 404, 406, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 452, 453, 454, 456, 457, 459, 460, 462, 463, 466, 468, 469, 470, 471, 472, 473, 475, 476, 480, 481, 487, 488, 492, 493, 494, 497, 498, 501, 502, 507, 508, 510, 511, 515, 517, 521, 522, 525, 526, 527, 529, 530, 531], "i": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 190, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 221, 225, 226, 232, 234, 237, 238, 241, 245, 246, 249, 250, 252, 254, 255, 256, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 481, 485, 486, 487, 493, 494, 498, 499, 502, 506, 507, 510, 511, 512, 515, 516, 517, 522, 523, 525, 526, 527, 529, 530, 531, 532], "hadoop": [1, 487], "tmp": [1, 81, 198, 207, 340, 457, 466, 487, 522], "dir": [1, 487], "via": [1, 9, 15, 17, 18, 21, 23, 25, 27, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 81, 115, 161, 207, 221, 268, 273, 275, 276, 279, 281, 283, 285, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 340, 374, 420, 466, 481, 487], "configur": [1, 67, 112, 193, 236, 249, 250, 260, 325, 348, 371, 453, 487, 497, 510, 511], "note": [1, 7, 8, 9, 17, 18, 23, 28, 36, 44, 49, 50, 56, 79, 81, 91, 92, 95, 99, 101, 103, 106, 107, 110, 112, 117, 118, 120, 125, 140, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 208, 221, 224, 236, 237, 250, 260, 265, 267, 268, 275, 276, 281, 286, 294, 303, 308, 309, 315, 318, 338, 340, 349, 350, 353, 357, 359, 361, 365, 366, 369, 371, 376, 377, 379, 385, 400, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 468, 481, 484, 487, 497, 498, 511, 531], "s3": [1, 241, 487, 502], "hdf": [1, 487], "dbf": [1, 487], "dict": [1, 2, 3, 4, 81, 84, 85, 122, 128, 130, 133, 134, 139, 142, 143, 144, 146, 150, 157, 183, 184, 185, 193, 208, 221, 225, 232, 234, 236, 237, 238, 240, 250, 258, 262, 263, 264, 340, 342, 344, 380, 388, 389, 393, 394, 399, 402, 403, 404, 406, 409, 417, 442, 444, 445, 453, 468, 481, 485, 487, 493, 494, 497, 498, 499, 501, 511, 519], "custom": [1, 86, 117, 139, 140, 141, 154, 155, 193, 210, 234, 247, 249, 250, 345, 376, 399, 400, 401, 414, 415, 453, 470, 487, 494, 508, 510, 511], "save": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 140, 150, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 224, 234, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 400, 409, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 484, 487, 494, 522, 526], "from": [1, 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 221, 226, 230, 234, 236, 237, 238, 240, 241, 245, 246, 247, 249, 250, 252, 253, 254, 255, 256, 261, 262, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 471, 472, 473, 475, 481, 486, 487, 490, 493, 494, 497, 498, 499, 501, 502, 506, 507, 508, 510, 511, 512, 513, 515, 516, 517, 522, 525, 526, 527, 530, 531, 532], "dure": [1, 7, 28, 44, 50, 66, 92, 99, 104, 139, 140, 141, 150, 154, 160, 161, 162, 181, 183, 221, 234, 237, 265, 286, 303, 309, 324, 350, 357, 363, 399, 400, 401, 409, 414, 419, 420, 421, 440, 442, 481, 487, 494, 498, 522], "annotator_log": [1, 487], "print": [1, 87, 241, 346, 348, 487, 502], "jvm": [1, 187, 447, 487], "output": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 221, 226, 234, 236, 237, 238, 245, 246, 247, 249, 254, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 476, 481, 486, 487, 494, 497, 498, 499, 506, 507, 508, 510, 515, 522, 525, 526, 527], "real": [1, 140, 171, 173, 174, 175, 177, 234, 400, 431, 433, 434, 435, 437, 487, 494, 522], "time": [1, 28, 44, 50, 61, 91, 95, 100, 116, 118, 119, 125, 131, 150, 158, 162, 183, 196, 286, 303, 309, 319, 349, 353, 358, 375, 377, 378, 385, 390, 409, 418, 421, 442, 456, 487, 525, 526, 530, 531], "int": [1, 2, 4, 7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 61, 63, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 88, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 123, 125, 127, 131, 135, 137, 139, 140, 141, 144, 146, 149, 150, 152, 154, 155, 158, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 185, 188, 192, 193, 196, 203, 221, 234, 236, 237, 245, 252, 262, 264, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 319, 322, 323, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 345, 347, 349, 350, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 376, 377, 378, 379, 382, 385, 387, 390, 395, 397, 399, 400, 401, 404, 406, 408, 409, 412, 414, 415, 418, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 445, 448, 452, 453, 456, 462, 481, 487, 494, 497, 498, 506, 512], "level": [1, 16, 28, 44, 50, 93, 94, 105, 110, 111, 115, 117, 119, 122, 139, 140, 150, 183, 221, 237, 238, 252, 274, 286, 303, 309, 351, 352, 364, 369, 370, 374, 376, 378, 380, 399, 400, 409, 442, 481, 487, 512], "return": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 72, 73, 74, 75, 76, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 125, 127, 128, 130, 134, 135, 137, 139, 140, 143, 146, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 191, 193, 196, 199, 203, 207, 208, 221, 224, 225, 226, 228, 232, 236, 237, 240, 241, 246, 247, 250, 252, 253, 254, 255, 262, 263, 264, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 331, 332, 333, 334, 335, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 385, 387, 388, 389, 394, 395, 397, 399, 400, 403, 406, 412, 414, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 451, 453, 456, 458, 462, 466, 468, 481, 484, 485, 486, 487, 488, 493, 497, 498, 501, 502, 507, 508, 511, 512, 513, 515, 516], "initi": [1, 100, 116, 160, 161, 162, 175, 183, 192, 211, 221, 246, 252, 253, 254, 255, 358, 375, 419, 420, 421, 435, 442, 452, 471, 481, 487, 507, 512, 513, 515, 516, 522], "session": [1, 250, 252, 253, 254, 255, 261, 487, 511, 512, 513, 515, 516], "sinc": [1, 87, 107, 125, 166, 167, 260, 346, 348, 366, 385, 425, 427, 487, 526, 527, 531], "2": [1, 7, 8, 11, 28, 44, 50, 51, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 78, 79, 85, 91, 92, 93, 94, 95, 97, 98, 103, 104, 109, 110, 115, 118, 119, 120, 122, 123, 125, 131, 132, 133, 134, 135, 138, 140, 146, 147, 150, 154, 157, 160, 161, 162, 163, 165, 166, 167, 168, 171, 174, 175, 181, 183, 184, 185, 194, 208, 221, 226, 230, 240, 241, 250, 253, 256, 260, 265, 267, 270, 286, 303, 309, 310, 323, 324, 326, 329, 330, 331, 332, 333, 334, 335, 337, 338, 344, 349, 350, 351, 352, 353, 355, 356, 361, 363, 368, 369, 374, 377, 378, 379, 380, 382, 385, 390, 392, 393, 394, 395, 398, 400, 406, 407, 409, 414, 419, 420, 421, 422, 424, 425, 427, 428, 431, 434, 435, 440, 442, 444, 454, 468, 481, 486, 487, 490, 501, 502, 511, 513, 517, 525, 526, 531], "python": [1, 127, 236, 261, 387, 487, 497], "deprec": [1, 260, 487], "you": [1, 17, 18, 23, 36, 49, 56, 77, 81, 84, 85, 86, 88, 95, 97, 99, 101, 109, 110, 112, 123, 131, 142, 146, 164, 168, 170, 174, 176, 201, 204, 208, 210, 221, 234, 238, 241, 246, 247, 249, 250, 254, 256, 260, 275, 276, 281, 294, 308, 315, 318, 336, 340, 342, 344, 345, 347, 348, 353, 355, 357, 359, 368, 369, 371, 382, 390, 402, 406, 423, 428, 430, 434, 436, 460, 463, 468, 470, 481, 487, 494, 499, 502, 507, 508, 510, 511, 515, 517, 522, 524, 526, 527, 530, 531, 532], "ar": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 91, 92, 93, 95, 96, 98, 99, 103, 104, 105, 108, 110, 113, 114, 115, 117, 118, 119, 120, 122, 123, 125, 127, 128, 131, 133, 135, 138, 140, 141, 142, 143, 144, 146, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 186, 196, 201, 207, 208, 210, 211, 212, 220, 221, 222, 226, 234, 236, 237, 241, 255, 256, 260, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 345, 348, 349, 350, 351, 353, 354, 356, 357, 361, 363, 364, 367, 369, 372, 373, 374, 376, 377, 378, 379, 380, 382, 385, 387, 388, 390, 393, 395, 398, 400, 401, 402, 403, 404, 406, 412, 414, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 446, 448, 456, 460, 466, 468, 470, 471, 472, 480, 481, 482, 486, 487, 494, 497, 498, 502, 516, 517, 522, 523, 524, 525, 526, 527, 530, 531, 532], "consid": [1, 86, 117, 123, 125, 146, 158, 160, 161, 162, 164, 168, 170, 176, 183, 184, 185, 187, 191, 221, 236, 237, 241, 260, 318, 345, 376, 382, 385, 406, 419, 420, 421, 423, 428, 430, 436, 442, 444, 445, 447, 451, 481, 487, 497, 502], "stick": [1, 260, 487], "lower": [1, 87, 91, 125, 146, 181, 183, 199, 260, 346, 349, 385, 406, 440, 442, 458, 487], "current": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 88, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 125, 130, 131, 132, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 188, 208, 212, 217, 221, 224, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 347, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 376, 377, 378, 379, 385, 389, 390, 392, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 448, 468, 472, 476, 481, 484, 487, 525, 526, 527], "contain": [2, 3, 4, 5, 7, 8, 9, 10, 11, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 61, 63, 66, 67, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 210, 211, 212, 213, 215, 216, 217, 219, 220, 221, 222, 223, 224, 225, 226, 228, 229, 230, 231, 232, 233, 234, 236, 237, 238, 240, 241, 242, 250, 252, 253, 254, 255, 258, 259, 261, 262, 263, 264, 265, 267, 268, 269, 270, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 318, 319, 322, 324, 325, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 468, 470, 471, 472, 473, 474, 475, 476, 478, 480, 481, 482, 483, 484, 485, 486, 488, 489, 490, 492, 493, 494, 495, 497, 498, 499, 501, 502, 503, 511, 512, 513, 515, 516, 519, 520, 522, 525, 526], "data": [2, 3, 4, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 70, 80, 81, 82, 84, 85, 87, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 139, 140, 141, 142, 143, 144, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 207, 208, 209, 211, 212, 213, 226, 234, 236, 240, 249, 250, 251, 252, 253, 254, 255, 258, 259, 262, 263, 264, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 329, 339, 340, 341, 342, 344, 346, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 399, 400, 401, 402, 403, 404, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 466, 468, 469, 471, 472, 473, 486, 494, 497, 501, 510, 511, 512, 513, 514, 515, 516, 519, 523, 525, 526, 530, 531, 532], "format": [2, 3, 4, 9, 61, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 122, 123, 128, 130, 131, 132, 133, 134, 139, 140, 144, 150, 157, 161, 163, 175, 179, 184, 185, 193, 196, 198, 200, 202, 204, 207, 209, 210, 212, 236, 237, 238, 245, 246, 247, 249, 250, 252, 253, 254, 255, 256, 262, 263, 264, 268, 319, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 380, 382, 388, 389, 390, 392, 393, 394, 399, 400, 404, 409, 417, 420, 422, 435, 439, 444, 445, 453, 456, 457, 459, 461, 463, 466, 469, 470, 472, 497, 498, 499, 506, 507, 508, 510, 511, 512, 513, 515, 516, 517, 523, 532], "class": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 227, 228, 229, 230, 231, 232, 234, 236, 237, 238, 240, 241, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 258, 259, 383, 479, 491, 514, 521, 522, 530, 532], "begin": [2, 63, 86, 88, 138, 166, 191, 193, 199, 200, 209, 226, 262, 322, 345, 347, 398, 425, 451, 453, 458, 459, 469, 486, 525], "end": [2, 14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 63, 75, 86, 88, 140, 146, 147, 155, 160, 161, 162, 163, 165, 173, 179, 191, 193, 196, 200, 209, 210, 221, 226, 233, 234, 236, 252, 262, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 322, 334, 345, 347, 400, 406, 407, 415, 419, 420, 421, 422, 424, 433, 439, 451, 453, 456, 459, 469, 470, 481, 486, 494, 497, 512, 522, 525, 527], "metadata": [2, 3, 4, 51, 63, 82, 88, 92, 125, 134, 139, 140, 143, 152, 161, 200, 202, 203, 207, 208, 209, 221, 226, 234, 236, 237, 238, 241, 247, 250, 262, 263, 264, 310, 322, 341, 347, 350, 385, 394, 399, 400, 403, 412, 420, 459, 461, 462, 466, 468, 469, 481, 486, 494, 497, 498, 502, 508, 511, 525, 527], "object": [2, 3, 4, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 139, 140, 143, 146, 152, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 186, 187, 196, 208, 218, 219, 220, 221, 222, 224, 234, 240, 241, 258, 259, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 348, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 399, 400, 403, 406, 412, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 445, 446, 447, 456, 480, 482, 489, 490, 494, 509, 525, 526], "repres": [2, 3, 4, 84, 85, 91, 98, 104, 108, 113, 114, 120, 122, 123, 130, 134, 135, 146, 147, 161, 165, 171, 193, 234, 240, 262, 263, 264, 342, 344, 349, 356, 363, 367, 372, 373, 379, 380, 382, 389, 394, 395, 406, 407, 420, 424, 431, 453, 494, 501, 526], "detail": [2, 3, 4, 9, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 113, 118, 119, 125, 143, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 262, 263, 264, 268, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 372, 377, 378, 385, 403, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "type": [2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 221, 226, 228, 235, 236, 237, 238, 240, 243, 244, 245, 246, 247, 249, 254, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 481, 486, 488, 496, 497, 498, 499, 501, 504, 505, 506, 507, 508, 510, 515, 525, 526, 529], "possibl": [2, 3, 4, 60, 61, 97, 99, 118, 119, 122, 141, 154, 183, 185, 200, 209, 210, 220, 221, 222, 234, 262, 263, 264, 318, 355, 357, 377, 378, 380, 401, 414, 442, 445, 459, 469, 470, 480, 481, 482, 494, 522], "valu": [2, 3, 4, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 94, 97, 103, 104, 108, 113, 114, 115, 118, 122, 123, 125, 127, 128, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 187, 188, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 220, 221, 222, 224, 231, 234, 236, 237, 238, 244, 245, 246, 247, 249, 250, 262, 263, 264, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 344, 345, 346, 347, 352, 355, 361, 363, 367, 372, 373, 374, 377, 380, 382, 385, 387, 388, 390, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 418, 420, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 447, 448, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 476, 480, 481, 482, 484, 492, 494, 497, 498, 499, 506, 507, 508, 510, 511, 522, 532], "document": [2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 204, 208, 209, 210, 212, 213, 214, 218, 234, 235, 236, 237, 238, 240, 245, 246, 247, 248, 249, 250, 252, 253, 254, 256, 260, 262, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 459, 460, 461, 462, 463, 468, 469, 470, 472, 473, 477, 494, 496, 497, 498, 499, 501, 506, 507, 508, 509, 510, 511, 512, 513, 515, 517, 522, 526, 527, 529, 530, 531], "wordpiec": [2, 214, 218, 262, 477], "word_embed": [2, 5, 90, 91, 93, 96, 97, 98, 99, 103, 105, 110, 112, 116, 118, 120, 139, 140, 150, 188, 214, 218, 262, 349, 351, 354, 355, 356, 357, 361, 362, 364, 369, 371, 375, 377, 379, 383, 399, 400, 409, 477], "sentence_embed": [2, 5, 28, 44, 50, 90, 92, 94, 95, 100, 101, 102, 104, 106, 107, 108, 109, 111, 113, 114, 115, 119, 147, 181, 214, 218, 234, 262, 286, 303, 309, 350, 352, 353, 358, 359, 360, 362, 363, 365, 366, 367, 368, 370, 372, 373, 374, 378, 383, 407, 440, 477, 494, 522, 526], "categori": [2, 15, 17, 18, 21, 23, 25, 27, 28, 30, 32, 34, 36, 39, 42, 44, 47, 49, 50, 54, 56, 57, 66, 67, 78, 80, 214, 218, 234, 262, 273, 275, 276, 279, 281, 283, 285, 286, 288, 290, 292, 294, 298, 301, 303, 306, 308, 309, 313, 315, 316, 324, 325, 337, 339, 477, 494, 522, 526], "date": [2, 61, 82, 131, 132, 133, 210, 214, 218, 262, 319, 341, 390, 392, 393, 470, 477], "entiti": [2, 10, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 63, 78, 82, 96, 121, 122, 123, 129, 130, 134, 136, 137, 138, 139, 140, 142, 143, 190, 194, 202, 208, 214, 218, 240, 258, 262, 269, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 322, 337, 341, 354, 380, 381, 382, 389, 394, 396, 397, 398, 399, 400, 402, 403, 449, 454, 461, 468, 477, 501, 519], "chunk": [2, 10, 11, 13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 60, 61, 82, 86, 88, 92, 97, 100, 116, 122, 125, 130, 133, 134, 135, 138, 160, 162, 190, 194, 199, 202, 214, 218, 226, 234, 235, 237, 238, 255, 258, 262, 269, 270, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 310, 311, 312, 318, 319, 341, 345, 347, 350, 355, 358, 375, 380, 385, 389, 393, 394, 395, 398, 419, 421, 449, 454, 458, 461, 477, 486, 494, 496, 499, 516, 522, 532], "named_ent": [2, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 123, 138, 139, 140, 142, 143, 150, 208, 214, 218, 240, 262, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 382, 398, 399, 400, 402, 403, 409, 468, 477, 501], "negex": [2, 214, 218, 262, 477], "labeled_depend": [2, 85, 123, 214, 218, 262, 344, 477], "languag": [2, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 126, 127, 128, 130, 131, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 193, 196, 199, 209, 210, 213, 214, 218, 221, 236, 238, 241, 258, 262, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 386, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 453, 456, 458, 469, 470, 473, 477, 481, 497, 499, 502, 519, 526], "keyword": [2, 124, 125, 157, 258, 262, 383, 384, 385, 417, 519], "dummi": [2, 87, 214, 218, 259, 262, 346, 477, 520], "first": [2, 98, 100, 101, 103, 104, 109, 113, 116, 118, 119, 125, 133, 139, 140, 142, 154, 163, 170, 171, 172, 173, 177, 178, 179, 181, 183, 187, 192, 201, 210, 213, 220, 221, 260, 262, 318, 356, 358, 359, 361, 363, 368, 372, 375, 377, 378, 385, 393, 399, 400, 402, 414, 422, 430, 431, 432, 433, 437, 438, 439, 440, 442, 447, 452, 460, 470, 473, 480, 481, 522, 526, 527, 531], "charact": [2, 13, 19, 37, 45, 87, 103, 105, 122, 127, 133, 135, 144, 154, 155, 183, 184, 185, 192, 193, 196, 202, 236, 237, 262, 271, 277, 295, 304, 346, 361, 364, 380, 387, 393, 395, 404, 414, 415, 442, 444, 445, 452, 453, 456, 461, 497], "last": [2, 92, 106, 108, 113, 114, 131, 132, 160, 161, 162, 190, 210, 221, 256, 262, 350, 365, 367, 372, 373, 390, 392, 419, 420, 421, 449, 470, 481, 517, 530], "string": [2, 9, 13, 19, 28, 37, 44, 45, 50, 60, 63, 84, 87, 122, 133, 135, 142, 144, 155, 157, 160, 161, 162, 179, 181, 185, 187, 191, 199, 200, 202, 207, 208, 209, 210, 221, 236, 237, 238, 245, 247, 249, 250, 262, 268, 271, 277, 286, 295, 303, 304, 309, 318, 322, 342, 346, 380, 393, 395, 402, 404, 415, 419, 420, 421, 439, 445, 447, 451, 458, 459, 461, 466, 468, 469, 470, 481, 497, 498, 499, 506, 508, 510, 511, 530], "associ": [2, 3, 4, 44, 115, 122, 133, 138, 146, 234, 262, 263, 264, 303, 374, 380, 393, 398, 406, 494], "list": [2, 3, 4, 7, 8, 9, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 122, 123, 125, 127, 131, 133, 137, 138, 140, 141, 142, 143, 144, 146, 149, 154, 155, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 187, 188, 191, 193, 201, 202, 203, 208, 209, 217, 221, 226, 232, 234, 236, 238, 240, 241, 250, 256, 258, 262, 263, 264, 265, 267, 268, 270, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 322, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 345, 346, 349, 350, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 368, 369, 370, 374, 377, 378, 379, 380, 382, 385, 387, 390, 393, 397, 398, 400, 401, 402, 403, 404, 406, 408, 414, 415, 419, 420, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 447, 448, 451, 453, 460, 461, 462, 468, 469, 476, 481, 486, 493, 494, 497, 499, 501, 502, 511, 517, 519, 521, 526], "vector": [2, 44, 93, 94, 95, 97, 98, 100, 101, 103, 115, 116, 117, 181, 201, 202, 262, 303, 351, 352, 353, 355, 356, 358, 359, 361, 374, 375, 376, 440, 460, 461, 525], "where": [2, 44, 81, 98, 102, 103, 113, 122, 125, 128, 130, 133, 134, 135, 141, 146, 152, 155, 157, 161, 163, 166, 179, 181, 184, 185, 196, 199, 254, 262, 303, 340, 356, 360, 361, 372, 380, 385, 388, 389, 393, 394, 395, 401, 406, 412, 415, 417, 420, 422, 425, 439, 440, 444, 445, 456, 458, 515], "applic": [2, 77, 80, 114, 125, 163, 167, 168, 171, 173, 174, 175, 177, 220, 233, 234, 246, 262, 336, 339, 373, 385, 422, 427, 428, 431, 433, 434, 435, 437, 480, 494, 495, 507, 522, 524], "static": [2, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 224, 240, 241, 259, 262, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 484, 501, 502, 520, 526], "sql": [2, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 130, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 208, 224, 226, 232, 236, 240, 250, 252, 253, 254, 255, 262, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 376, 377, 378, 379, 389, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 466, 468, 484, 486, 493, 497, 501, 511, 512, 513, 515, 516], "creat": [2, 3, 4, 28, 44, 50, 69, 77, 88, 93, 94, 100, 110, 113, 116, 117, 123, 140, 146, 147, 150, 152, 160, 169, 172, 177, 190, 196, 208, 211, 226, 237, 252, 253, 254, 255, 258, 259, 260, 262, 263, 264, 286, 303, 309, 327, 336, 347, 348, 351, 352, 358, 369, 372, 375, 376, 382, 400, 406, 407, 409, 412, 419, 429, 432, 437, 449, 456, 468, 471, 486, 512, 513, 515, 516, 519, 520, 526, 527, 530, 532], "new": [2, 3, 4, 10, 50, 63, 78, 82, 91, 93, 94, 98, 103, 104, 105, 117, 120, 142, 143, 146, 160, 163, 166, 168, 173, 174, 179, 183, 202, 232, 237, 260, 262, 263, 264, 269, 309, 322, 337, 341, 349, 351, 352, 356, 361, 363, 364, 376, 379, 402, 403, 406, 408, 409, 419, 422, 425, 428, 433, 434, 439, 442, 448, 461, 476, 481, 492, 493, 498, 525, 526], "differ": [2, 3, 4, 67, 78, 84, 85, 102, 103, 104, 110, 111, 118, 120, 125, 131, 154, 155, 165, 172, 177, 183, 193, 196, 208, 234, 243, 249, 262, 263, 264, 325, 337, 342, 344, 360, 361, 363, 369, 370, 377, 379, 385, 390, 414, 415, 424, 432, 437, 442, 453, 456, 468, 494, 505, 510, 530], "all": [2, 3, 4, 5, 9, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 51, 53, 54, 56, 57, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 86, 87, 91, 93, 94, 95, 96, 108, 112, 113, 114, 117, 120, 122, 127, 131, 135, 140, 144, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 187, 192, 196, 201, 204, 220, 221, 234, 237, 241, 260, 262, 263, 264, 268, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 310, 313, 315, 316, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 345, 346, 349, 351, 352, 353, 354, 367, 371, 372, 373, 376, 379, 380, 383, 387, 390, 400, 404, 406, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 447, 452, 456, 460, 463, 480, 481, 494, 498, 502, 521, 526, 531], "should": [2, 3, 4, 11, 28, 44, 50, 67, 78, 79, 80, 81, 86, 92, 95, 100, 101, 109, 116, 118, 125, 127, 134, 135, 139, 140, 141, 146, 150, 154, 155, 160, 161, 162, 170, 183, 192, 208, 210, 217, 221, 240, 252, 253, 260, 262, 263, 264, 270, 286, 303, 309, 318, 319, 325, 337, 338, 339, 340, 345, 348, 350, 353, 358, 359, 368, 375, 377, 385, 387, 394, 395, 399, 400, 401, 406, 409, 414, 415, 419, 420, 421, 430, 440, 442, 452, 468, 470, 475, 476, 481, 489, 493, 501, 509, 512, 513], "newli": [2, 3, 4, 114, 262, 263, 264, 373], "structtyp": [2, 226, 259, 262], "schema": [2, 81, 138, 234, 247, 249, 259, 262, 340, 398, 494, 508, 510, 520, 522], "look": [2, 140, 162, 173, 174, 175, 177, 184, 262, 348, 400, 421, 433, 434, 435, 437, 444, 525], "like": [2, 7, 14, 20, 24, 28, 29, 33, 38, 41, 46, 52, 53, 63, 79, 87, 91, 95, 97, 99, 105, 112, 120, 123, 125, 133, 138, 146, 155, 158, 160, 161, 162, 165, 166, 169, 172, 177, 183, 193, 196, 221, 234, 262, 265, 272, 278, 282, 286, 287, 291, 297, 300, 305, 311, 312, 322, 338, 346, 349, 353, 355, 357, 364, 371, 379, 382, 385, 393, 398, 406, 415, 418, 419, 420, 421, 424, 425, 429, 432, 437, 442, 453, 456, 481, 494, 522, 524, 525], "struct": [2, 200, 207, 209, 236, 247, 250, 262, 459, 466, 469, 497, 508, 511], "containsnul": [2, 44, 198, 200, 207, 209, 236, 247, 250, 262, 303, 457, 459, 466, 469, 497, 508, 511], "true": [2, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 66, 67, 77, 78, 79, 80, 81, 86, 87, 88, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 130, 131, 132, 134, 138, 140, 144, 154, 155, 157, 160, 166, 169, 181, 183, 184, 187, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 221, 226, 234, 236, 237, 241, 245, 247, 250, 252, 253, 255, 256, 259, 262, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 318, 324, 325, 336, 337, 338, 339, 340, 345, 346, 347, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 389, 390, 392, 394, 398, 400, 404, 414, 415, 419, 429, 440, 442, 444, 452, 453, 456, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 472, 481, 494, 497, 498, 502, 506, 508, 511, 512, 513, 516, 517, 522, 526, 527], "nullabl": [2, 44, 198, 200, 207, 209, 236, 245, 247, 250, 262, 303, 457, 459, 466, 469, 497, 506, 508, 511], "integ": [2, 67, 78, 79, 80, 108, 113, 114, 200, 207, 209, 221, 245, 247, 262, 325, 337, 338, 339, 367, 372, 373, 459, 466, 469, 506, 508], "map": [2, 11, 44, 92, 95, 117, 122, 146, 152, 160, 161, 162, 183, 200, 207, 209, 210, 221, 226, 232, 236, 247, 250, 258, 262, 270, 303, 350, 353, 376, 380, 406, 408, 409, 412, 419, 420, 421, 442, 459, 466, 469, 470, 476, 481, 486, 492, 493, 497, 498, 508, 511, 525], "kei": [2, 7, 67, 70, 84, 85, 110, 111, 118, 119, 128, 143, 172, 200, 207, 208, 209, 234, 236, 240, 247, 250, 258, 262, 265, 325, 329, 342, 344, 369, 370, 377, 378, 388, 403, 432, 459, 466, 468, 469, 494, 497, 501, 508, 511, 519, 522], "valuecontainsnul": [2, 200, 207, 209, 236, 247, 250, 262, 459, 466, 469, 497, 508, 511], "arrai": [2, 7, 8, 9, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 118, 119, 120, 127, 128, 135, 140, 149, 152, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 190, 191, 196, 198, 199, 200, 201, 202, 204, 207, 208, 209, 210, 226, 236, 238, 247, 250, 262, 265, 267, 268, 270, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 377, 378, 379, 387, 388, 395, 400, 408, 412, 414, 415, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 449, 451, 456, 457, 458, 459, 460, 461, 463, 466, 468, 469, 470, 486, 497, 499, 508, 511, 527, 530], "element": [2, 44, 135, 146, 181, 198, 200, 207, 209, 210, 236, 237, 238, 247, 250, 262, 303, 395, 406, 440, 457, 459, 466, 469, 470, 497, 498, 508, 511], "float": [2, 3, 7, 8, 9, 28, 44, 50, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 82, 92, 127, 139, 140, 143, 146, 149, 150, 155, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 196, 198, 200, 201, 203, 208, 209, 221, 236, 237, 262, 263, 265, 267, 268, 286, 303, 309, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 341, 350, 387, 399, 400, 403, 406, 408, 409, 415, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 456, 457, 459, 460, 462, 468, 469, 481, 497, 498], "row": [2, 51, 86, 88, 117, 154, 155, 158, 200, 209, 210, 212, 226, 236, 237, 238, 252, 259, 262, 310, 345, 347, 376, 414, 415, 418, 459, 469, 470, 472, 486, 497, 498, 512, 520], "column": [2, 10, 28, 44, 50, 81, 87, 117, 128, 137, 139, 140, 141, 149, 150, 152, 158, 162, 181, 188, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 213, 217, 226, 237, 238, 240, 245, 252, 254, 262, 269, 286, 303, 309, 340, 346, 376, 388, 397, 399, 400, 401, 408, 409, 412, 418, 421, 440, 448, 453, 456, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 473, 476, 486, 498, 499, 501, 506, 512, 515, 526], "transform": [2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 206, 207, 208, 209, 210, 212, 213, 221, 226, 229, 232, 234, 238, 239, 240, 245, 246, 249, 262, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 465, 466, 468, 469, 470, 472, 473, 481, 486, 489, 493, 494, 499, 501, 506, 507, 509, 510, 522, 525, 526, 527, 530, 531, 532], "an": [2, 7, 8, 9, 11, 28, 44, 50, 51, 66, 67, 70, 78, 79, 80, 84, 86, 87, 92, 96, 98, 103, 104, 105, 107, 108, 109, 113, 114, 120, 122, 125, 127, 130, 131, 132, 133, 134, 135, 139, 140, 141, 143, 146, 150, 152, 154, 155, 157, 158, 162, 163, 164, 165, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 190, 193, 196, 199, 200, 201, 202, 204, 207, 208, 209, 210, 213, 221, 225, 226, 228, 232, 234, 237, 238, 246, 250, 252, 253, 254, 255, 262, 265, 267, 268, 270, 286, 303, 309, 310, 318, 324, 325, 329, 337, 338, 339, 342, 345, 346, 348, 350, 354, 356, 361, 363, 364, 366, 367, 368, 372, 373, 379, 380, 385, 387, 389, 390, 392, 393, 394, 395, 399, 400, 401, 403, 406, 408, 409, 412, 414, 415, 417, 418, 421, 422, 423, 424, 425, 427, 428, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 449, 453, 456, 458, 459, 460, 461, 463, 466, 468, 469, 470, 473, 476, 481, 485, 486, 488, 492, 493, 494, 498, 507, 511, 512, 513, 515, 516, 521, 523, 525, 526, 527, 529, 530], "alreadi": [3, 123, 125, 139, 140, 141, 142, 193, 194, 208, 240, 263, 382, 385, 399, 400, 401, 402, 453, 454, 468, 501, 530], "load": [3, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 125, 127, 128, 130, 134, 136, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 207, 221, 224, 237, 238, 240, 241, 245, 247, 256, 260, 261, 263, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 385, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 466, 481, 484, 501, 502, 506, 508, 517, 526, 529], "process": [3, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 123, 125, 127, 138, 139, 140, 141, 150, 155, 160, 161, 162, 163, 166, 171, 175, 177, 179, 181, 193, 196, 198, 199, 200, 201, 202, 203, 207, 209, 211, 213, 221, 234, 236, 237, 247, 249, 250, 263, 265, 267, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 375, 377, 378, 379, 382, 385, 387, 398, 399, 400, 401, 409, 415, 419, 420, 421, 422, 425, 431, 435, 437, 439, 440, 456, 457, 458, 459, 460, 461, 462, 466, 469, 471, 473, 481, 494, 497, 498, 508, 510, 511, 522, 525, 526, 527, 528], "byte": [3, 4, 7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 127, 140, 149, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 207, 234, 236, 237, 238, 263, 264, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 387, 400, 408, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 466, 494, 497, 498, 499], "origin": [4, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 100, 105, 110, 116, 138, 155, 160, 161, 162, 163, 207, 221, 237, 247, 259, 264, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 358, 364, 369, 375, 398, 415, 419, 420, 421, 422, 466, 481, 498, 508], "height": [4, 67, 78, 79, 80, 207, 221, 247, 259, 264, 325, 337, 338, 339, 466, 481, 508], "width": [4, 67, 78, 79, 80, 92, 160, 161, 162, 207, 221, 247, 259, 264, 325, 337, 338, 339, 350, 419, 420, 421, 466, 481, 508], "nchannel": [4, 207, 247, 259, 264, 466, 508], "mode": [4, 28, 44, 50, 60, 71, 140, 150, 184, 200, 207, 209, 210, 234, 247, 259, 264, 286, 303, 309, 318, 330, 400, 409, 444, 459, 466, 469, 470, 494, 508], "imag": [4, 61, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 162, 175, 207, 208, 214, 218, 221, 237, 240, 247, 249, 259, 264, 319, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 360, 421, 435, 466, 468, 477, 481, 498, 501, 508, 510, 520], "uri": [4, 241, 264, 502], "pixel": [4, 78, 264, 337], "number": [4, 9, 17, 18, 23, 27, 28, 32, 36, 44, 49, 50, 56, 61, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 81, 84, 85, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 135, 137, 139, 140, 146, 149, 152, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 188, 196, 203, 221, 237, 245, 252, 253, 264, 268, 275, 276, 281, 285, 286, 290, 294, 303, 308, 309, 315, 319, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 340, 342, 344, 347, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 395, 397, 399, 400, 406, 408, 412, 414, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 448, 456, 462, 481, 498, 506, 512, 513], "color": [4, 264], "channel": [4, 67, 78, 79, 80, 183, 221, 264, 325, 337, 338, 339, 442, 481], "opencv": [4, 207, 264, 466], "hubert_for_ctc": [5, 6, 266, 383], "hubertforctc": [5, 6, 7, 265], "wav2vec2_for_ctc": [5, 6, 266, 383], "wav2vec2forctc": [5, 6, 8, 267], "whisper_for_ctc": [5, 6, 266, 383], "whisperforctc": [5, 6, 9, 268], "albert_for_multiple_choic": [5, 12, 296, 383], "albertformultiplechoic": [5, 12, 13, 271], "albert_for_question_answ": [5, 12, 296, 383], "albertforquestionansw": [5, 12, 14, 272], "albert_for_sequence_classif": [5, 12, 296, 383], "albertforsequenceclassif": [5, 12, 15, 30, 273, 288], "albert_for_token_classif": [5, 12, 296, 383], "albertfortokenclassif": [5, 12, 16, 91, 274, 349], "albert_for_zero_shot_classif": [5, 12, 296, 383], "albertforzeroshotclassif": [5, 12, 17, 275], "bart_for_zero_shot_classif": [5, 12, 296, 383], "bartforzeroshotclassif": [5, 12, 17, 18, 275, 276], "bert_for_multiple_choic": [5, 12, 296, 383], "bertformultiplechoic": [5, 12, 19, 277], "bert_for_question_answ": [5, 12, 296, 383], "bertforquestionansw": [5, 12, 13, 20, 51, 271, 278, 310], "bert_for_sequence_classif": [5, 12, 296, 383], "bertforsequenceclassif": [5, 12, 21, 23, 279, 281], "bert_for_token_classif": [5, 12, 296, 383], "bertfortokenclassif": [5, 12, 22, 280], "bert_for_zero_shot_classif": [5, 12, 296, 383], "bertforzeroshotclassif": [5, 12, 23, 281], "camembert_for_question_answ": [5, 12, 296, 383], "camembertforquestionansw": [5, 12, 24, 282], "camembert_for_sequence_classif": [5, 12, 296, 383], "camembertforsequenceclassif": [5, 12, 25, 27, 283, 285], "camembert_for_token_classif": [5, 12, 296, 383], "camembertfortokenclassif": [5, 12, 26, 284], "camembert_for_zero_shot_classif": [5, 12, 296, 383], "camembertforzeroshotclassif": [5, 12, 27, 285], "classifierdlapproach": [5, 12, 28, 44, 286, 303, 526], "classifierdlmodel": [5, 12, 28, 44, 286, 303, 526], "deberta_for_question_answ": [5, 12, 296, 383], "debertaforquestionansw": [5, 12, 29, 287], "deberta_for_sequence_classif": [5, 12, 296, 383], "debertaforsequenceclassif": [5, 12, 27, 30, 32, 285, 288, 290], "deberta_for_token_classif": [5, 12, 296, 383], "debertafortokenclassif": [5, 12, 31, 289], "deberta_for_zero_shot_classif": [5, 12, 296, 383], "debertaforzeroshotclassif": [5, 12, 32, 290], "distil_bert_for_question_answ": [5, 12, 296, 383], "distilbertforquestionansw": [5, 12, 33, 291], "distil_bert_for_sequence_classif": [5, 12, 296, 383], "distilbertforsequenceclassif": [5, 12, 17, 34, 36, 275, 292, 294], "distil_bert_for_token_classif": [5, 12, 296, 383], "distilbertfortokenclassif": [5, 12, 35, 293], "distil_bert_for_zero_shot_classif": [5, 12, 296, 383], "distilbertforzeroshotclassif": [5, 12, 36, 294], "distilbert_for_multiple_choic": [5, 12, 296, 383], "distilbertformultiplechoic": [5, 12, 37, 295], "longformer_for_question_answ": [5, 12, 296, 383], "longformerforquestionansw": [5, 12, 38, 297], "longformer_for_sequence_classif": [5, 12, 296, 383], "longformerforsequenceclassif": [5, 12, 39, 298], "longformer_for_token_classif": [5, 12, 296, 383], "longformerfortokenclassif": [5, 12, 40, 299], "mpnet_for_question_answ": [5, 12, 296, 383], "mpnetforquestionansw": [5, 12, 41, 300], "mpnet_for_sequence_classif": [5, 12, 296, 383], "mpnetforsequenceclassif": [5, 12, 42, 301], "mpnet_for_token_classif": [5, 12, 296, 383], "mpnetfortokenclassif": [5, 12, 43, 302], "multi_classifier_dl": [5, 12, 296, 383], "multiclassifierdlapproach": [5, 12, 28, 44, 234, 286, 303, 494, 522], "multiclassifierdlmodel": [5, 12, 28, 44, 286, 303], "roberta_for_multiple_choic": [5, 12, 296, 383], "robertaformultiplechoic": [5, 12, 45, 304], "roberta_for_question_answ": [5, 12, 296, 383], "robertaforquestionansw": [5, 12, 45, 46, 143, 304, 305, 403], "roberta_for_sequence_classif": [5, 12, 296, 383], "robertaforsequenceclassif": [5, 12, 47, 49, 306, 308], "roberta_for_token_classif": [5, 12, 296, 383], "robertafortokenclassif": [5, 12, 48, 307], "roberta_for_zero_shot_classif": [5, 12, 296, 383], "robertaforzeroshotclassif": [5, 12, 49, 308], "sentiment_dl": [5, 12, 296, 383], "sentimentdlapproach": [5, 12, 28, 44, 50, 286, 303, 309], "sentimentdlmodel": [5, 12, 28, 44, 50, 286, 303, 309], "tapas_for_question_answ": [5, 12, 296, 383], "tapasforquestionansw": [5, 12, 51, 310], "xlm_roberta_for_multiple_choic": [5, 12, 296, 383], "xlmrobertaformultiplechoic": [5, 12, 52, 311], "xlm_roberta_for_question_answ": [5, 12, 296, 383], "xlmrobertaforquestionansw": [5, 12, 53, 312], "xlm_roberta_for_sequence_classif": [5, 12, 296, 383], "xlmrobertaforsequenceclassif": [5, 12, 54, 56, 313, 315], "xlm_roberta_for_token_classif": [5, 12, 296, 383], "xlmrobertafortokenclassif": [5, 12, 43, 55, 302, 314], "xlm_roberta_for_zero_shot_classif": [5, 12, 296, 383], "xlmrobertaforzeroshotclassif": [5, 12, 56, 315], "xlnet_for_sequence_classif": [5, 12, 296, 383], "xlnetforsequenceclassif": [5, 12, 57, 316], "xlnet_for_token_classif": [5, 12, 296, 383], "xlnetfortokenclassif": [5, 12, 58, 317], "extractor": [5, 59, 130, 134, 190, 320, 383, 389, 394, 449], "spanbert_coref": [5, 62, 321, 383], "spanbertcorefmodel": [5, 62, 63, 322], "blip_for_question_answ": [5, 64, 328, 383], "blipforquestionansw": [5, 64, 65, 323], "clip_for_zero_shot_classif": [5, 64, 328, 383], "clipforzeroshotclassif": [5, 64, 65, 66, 71, 72, 73, 75, 76, 323, 324, 330, 331, 332, 334, 335], "convnext_for_image_classif": [5, 64, 328, 383], "convnextforimageclassif": [5, 64, 67, 325], "florence2_transform": [5, 64, 328, 383], "florence2transform": [5, 64, 68, 326], "gemma3_for_multimod": [5, 64, 328, 383], "gemma3formultimod": [5, 64, 69, 327], "internvl_for_multimod": [5, 64, 328, 383], "internvlformultimod": [5, 64, 70, 329], "janus_for_multimod": [5, 64, 328, 383], "janusformultimod": [5, 64, 71, 330], "llava_for_multimod": [5, 64, 328, 383], "llavaformultimod": [5, 64, 72, 331], "mllama_for_multimod": [5, 64, 328, 383], "mllamaformultimod": [5, 64, 73, 332], "paligemma_for_multimod": [5, 64, 328, 383], "paligemmaformultimod": [5, 64, 74, 333], "phi3_vision_for_multimod": [5, 64, 328, 383], "phi3vis": [5, 64, 75, 334], "qwen2vl_transform": [5, 64, 328, 383], "qwen2vltransform": [5, 64, 76, 335], "smolvlm_transform": [5, 64, 328, 383], "smolvlmtransform": [5, 64, 77, 336], "swin_for_image_classif": [5, 64, 328, 383], "swinforimageclassif": [5, 64, 78, 337], "vision_encoder_decoder_for_image_capt": [5, 64, 328, 383], "visionencoderdecoderforimagecapt": [5, 64, 79, 338], "vit_for_image_classif": [5, 64, 328, 383], "vitforimageclassif": [5, 64, 80, 339], "dependency_pars": [5, 83, 241, 343, 383, 502, 531], "dependencyparserapproach": [5, 83, 84, 253, 342, 513, 532], "dependencyparsermodel": [5, 83, 84, 85, 123, 342, 344, 382], "typed_dependency_pars": [5, 83, 343, 383], "typeddependencyparserapproach": [5, 83, 84, 85, 342, 344], "typeddependencyparsermodel": [5, 83, 85, 123, 344, 382], "albert_embed": [5, 90, 362, 383], "albertembed": [5, 16, 90, 91, 274, 349], "auto_gguf_embed": [5, 90, 362, 383], "autoggufembed": [5, 90, 92, 350], "bert_embed": [5, 90, 362, 383], "bertembed": [5, 90, 93, 97, 104, 112, 140, 141, 201, 351, 355, 363, 371, 400, 401, 460], "bert_sentence_embed": [5, 90, 362, 383], "bertsentenceembed": [5, 44, 50, 90, 94, 111, 119, 303, 309, 352, 370, 378], "bge_embed": [5, 90, 362, 383], "bgeembed": [5, 90, 95, 353], "camembert_embed": [5, 90, 362, 383], "camembertembed": [5, 90, 96, 354], "chunk_embed": [5, 90, 362, 383], "chunkembed": [5, 90, 97, 201, 355, 460], "deberta_embed": [5, 90, 362, 383], "debertaembed": [5, 90, 98, 356], "distil_bert_embed": [5, 90, 362, 383], "distilbertembed": [5, 90, 99, 357], "doc2vec": [5, 90, 362, 383], "doc2vecapproach": [5, 90, 100, 358], "doc2vecmodel": [5, 90, 100, 358], "e5_embed": [5, 90, 362, 383], "e5embed": [5, 90, 101, 107, 109, 181, 359, 366, 368, 440], "e5v_embed": [5, 90, 362, 383], "e5vembed": [5, 90, 102, 259, 360, 520], "elmo_embed": [5, 90, 362, 383], "elmoembed": [5, 90, 103, 361], "instructor_embed": [5, 90, 362, 383], "instructorembed": [5, 90, 104, 363], "longformer_embed": [5, 90, 362, 383], "longformerembed": [5, 90, 105, 364], "minilm_embed": [5, 90, 362, 383], "minilmembed": [5, 90, 106, 365], "mpnet_embed": [5, 90, 362, 383], "mpnetembed": [5, 90, 107, 366], "mxbai_embed": [5, 90, 362, 383], "mxbaiembed": [5, 90, 108, 367], "nomic_embed": [5, 90, 362, 383], "nomicembed": [5, 90, 109, 368], "roberta_embed": [5, 90, 362, 383], "robertaembed": [5, 90, 110, 118, 369, 377], "roberta_sentence_embed": [5, 90, 362, 383], "robertasentenceembed": [5, 90, 111, 370], "sentenceembed": [5, 28, 44, 50, 90, 112, 117, 201, 286, 303, 309, 371, 376, 460], "snowflake_embed": [5, 90, 362, 383], "snowflakeembed": [5, 90, 113, 372], "uae_embed": [5, 90, 362, 383], "uaeembed": [5, 90, 114, 373], "universal_sentence_encod": [5, 90, 362, 383], "universalsentenceencod": [5, 28, 44, 50, 90, 115, 234, 286, 303, 309, 374, 494, 522, 526], "word2vec": [5, 90, 100, 358, 362, 383], "word2vecapproach": [5, 90, 116, 375], "word2vecmodel": [5, 90, 116, 375], "wordembeddingsmodel": [5, 90, 97, 112, 117, 123, 139, 140, 142, 201, 355, 371, 376, 382, 399, 400, 402, 460], "xlm_roberta_embed": [5, 90, 362, 383], "xlmrobertaembed": [5, 90, 118, 377], "xlm_roberta_sentence_embed": [5, 90, 362, 383], "xlmrobertasentenceembed": [5, 90, 119, 378], "xlnet_embed": [5, 90, 362, 383], "xlnetembed": [5, 90, 120, 379], "entity_rul": [5, 121, 381, 383], "entityrulerapproach": [5, 121, 122, 380], "entityrulermodel": [5, 121, 122, 380], "yake_keyword_extract": [5, 124, 383, 384], "yakekeywordextract": [5, 124, 125, 385], "language_detector_dl": [5, 126, 383, 386], "languagedetectordl": [5, 126, 127, 387], "big_text_match": [5, 129, 383, 391], "bigtextmatch": [5, 129, 130, 134, 389, 394], "bigtextmatchermodel": [5, 129, 130, 389], "date_match": [5, 129, 383, 391], "datematch": [5, 82, 129, 131, 341, 390], "datematcherutil": [5, 129, 131, 132, 390], "multi_date_match": [5, 129, 383, 391], "multidatematch": [5, 82, 129, 131, 132, 341, 390, 392], "regex_match": [5, 129, 383, 391], "regexmatch": [5, 129, 133, 393], "regexmatchermodel": [5, 129, 133, 393], "text_match": [5, 129, 383, 391], "textmatch": [5, 129, 130, 134, 190, 389, 394, 449], "textmatchermodel": [5, 129, 130, 134, 389, 394], "ner_approach": [5, 136, 383, 396], "nerapproach": [5, 136, 137, 139, 140, 397], "ner_convert": [5, 136, 383, 396], "nerconvert": [5, 97, 136, 138, 139, 140, 234, 355, 398, 399, 400, 494, 522], "ner_crf": [5, 136, 383, 396], "nercrfapproach": [5, 136, 139, 140, 399, 400], "nercrfmodel": [5, 136, 139, 140, 399, 400], "ner_dl": [5, 136, 383, 396], "nerdlapproach": [5, 136, 139, 140, 141, 252, 399, 400, 401, 512, 532], "nerdlmodel": [5, 123, 136, 138, 139, 140, 142, 234, 241, 382, 398, 399, 400, 402, 494, 502, 522], "ner_dl_graph_check": [5, 136, 383, 396], "nerdlgraphcheck": [5, 136, 141, 401], "nerdlgraphcheckermodel": [5, 136, 141, 401], "ner_overwrit": [5, 136, 383, 396], "neroverwrit": [5, 136, 142, 402], "zero_shot_ner_model": [5, 136, 383, 396], "zeroshotnermodel": [5, 136, 143, 403], "openai_complet": [5, 145, 383, 405], "openaicomplet": [5, 145, 146, 406], "openai_embed": [5, 145, 383, 405], "openaiembed": [5, 145, 147, 407], "classifier_encod": [5, 148, 383, 410], "classifierencod": [5, 28, 44, 50, 148, 149, 408], "evaluation_dl_param": [5, 148, 383, 410], "evaluationdlparam": [5, 28, 44, 50, 140, 148, 150, 409], "perceptron": [5, 83, 84, 151, 342, 383, 411], "perceptronapproach": [5, 151, 152, 254, 412, 515, 532], "perceptronmodel": [5, 11, 84, 85, 123, 139, 151, 152, 252, 270, 342, 344, 382, 399, 412, 512], "sentence_detector": [5, 51, 143, 153, 310, 383, 403, 413], "sentencedetector": [5, 11, 28, 51, 63, 84, 85, 94, 97, 111, 115, 119, 123, 125, 128, 133, 135, 139, 140, 142, 143, 152, 153, 154, 155, 187, 190, 211, 213, 221, 252, 270, 286, 310, 322, 342, 344, 352, 355, 370, 374, 378, 382, 385, 388, 393, 395, 399, 400, 402, 403, 412, 414, 415, 447, 449, 471, 473, 481, 512, 526, 527], "sentencedetectorparam": [5, 153, 154, 414], "sentence_detector_dl": [5, 153, 170, 318, 383, 413, 430], "sentencedetectordlapproach": [5, 153, 155, 415], "sentencedetectordlmodel": [5, 153, 155, 170, 318, 415, 430], "sentiment_detector": [5, 156, 383, 416], "sentimentdetector": [5, 156, 157, 417], "sentimentdetectormodel": [5, 156, 157, 417], "vivekn_senti": [5, 156, 383, 416], "viveknsentimentapproach": [5, 156, 157, 158, 417, 418], "viveknsentimentmodel": [5, 156, 158, 418], "auto_gguf_model": [5, 92, 159, 350, 383, 426], "autoggufmodel": [5, 159, 160, 419], "auto_gguf_rerank": [5, 159, 383, 426], "autoggufrerank": [5, 159, 161, 203, 420, 462], "auto_gguf_vision_model": [5, 159, 383, 426], "autoggufvisionmodel": [5, 159, 160, 162, 419, 421], "bart_transform": [5, 159, 383, 426], "barttransform": [5, 159, 163, 422], "cohere_transform": [5, 159, 383, 426], "coheretransform": [5, 159, 164, 423], "cpm_transform": [5, 159, 383, 426], "cpmtransform": [5, 159, 165, 424], "gpt2_transform": [5, 159, 383, 426], "gpt2transform": [5, 159, 166, 425], "llama2_transform": [5, 159, 383, 426], "llama2transform": [5, 159, 167, 427], "llama3_transform": [5, 159, 383, 426], "llama3transform": [5, 159, 168, 428], "m2m100_transform": [5, 159, 383, 426], "m2m100transform": [5, 159, 169, 429], "marian_transform": [5, 159, 383, 426], "mariantransform": [5, 60, 159, 170, 318, 430], "mistral_transform": [5, 159, 383, 426], "mistraltransform": [5, 159, 171, 431], "nllb_transform": [5, 159, 383, 426], "nllbtransform": [5, 159, 172, 432], "olmo_transform": [5, 159, 383, 426], "olmotransform": [5, 159, 173, 433], "phi2_transform": [5, 159, 383, 426], "phi2transform": [5, 159, 174, 434], "phi3_transform": [5, 159, 383, 426], "phi3transform": [5, 159, 175, 435], "phi4_transform": [5, 159, 383, 426], "phi4transform": [5, 159, 176, 436], "qwen_transform": [5, 159, 383, 426], "qwentransform": [5, 159, 177, 437], "starcoder_transform": [5, 159, 383, 426], "starcodertransform": [5, 159, 178, 438], "t5_transform": [5, 159, 383, 426], "t5transform": [5, 159, 179, 439], "document_similarity_rank": [5, 180, 383, 441], "documentsimilarityrankerapproach": [5, 180, 181, 440], "documentsimilarityrankerfinish": [5, 180, 181, 440], "documentsimilarityrankermodel": [5, 180, 181, 440], "context_spell_check": [5, 182, 383, 443], "contextspellcheckerapproach": [5, 182, 183, 184, 185, 442, 444, 445], "contextspellcheckermodel": [5, 182, 183, 184, 185, 442, 444, 445], "norvig_sweet": [5, 182, 383, 443], "norvigsweetingapproach": [5, 182, 183, 184, 185, 442, 444, 445, 532], "norvigsweetingmodel": [5, 182, 183, 184, 185, 442, 444, 445], "symmetric_delet": [5, 182, 383, 443], "symmetricdeleteapproach": [5, 182, 183, 184, 185, 442, 444, 445, 532], "symmetricdeletemodel": [5, 182, 183, 184, 185, 442, 444, 445], "chunk_token": [5, 189, 383, 450], "chunktoken": [5, 189, 190, 449], "chunktokenizermodel": [5, 189, 190, 449], "recursive_token": [5, 189, 383, 450], "recursivetoken": [5, 189, 191, 451], "recursivetokenizermodel": [5, 189, 191, 451], "regex_token": [5, 189, 383, 450], "regextoken": [5, 189, 192, 196, 452, 456, 527], "tokenizermodel": [5, 130, 189, 190, 193, 389, 453], "word_segment": [5, 195, 383, 455], "wordsegmenterapproach": [5, 195, 196, 456], "wordsegmentermodel": [5, 195, 196, 456], "inputannotatortyp": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 212, 213, 214, 217, 235, 238, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 458, 472, 473, 476, 499], "name": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 221, 224, 226, 231, 234, 235, 237, 238, 240, 241, 243, 245, 246, 247, 248, 249, 252, 254, 258, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 472, 473, 476, 481, 484, 486, 492, 494, 498, 499, 501, 502, 506, 507, 508, 509, 510, 512, 515, 519, 522, 526], "outputannotatortyp": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 146, 147, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 189, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 207, 209, 210, 212, 213, 214, 217, 227, 229, 235, 238, 243, 246, 247, 248, 249, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 451, 452, 453, 454, 456, 457, 458, 459, 466, 469, 470, 472, 473, 476, 489, 499, 507, 508, 509, 510], "setparam": [5, 10, 81, 180, 181, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 213, 214, 216, 243, 246, 247, 248, 249, 269, 340, 440, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 473, 475, 507, 508, 509, 510], "regexpars": [5, 11, 270], "setregexpars": [5, 11, 270], "docach": [5, 81, 340], "executorcor": [5, 81, 340], "numpartit": [5, 81, 90, 100, 116, 340, 358, 375], "numwork": [5, 81, 340], "outputopt": [5, 81, 340], "persistformat": [5, 81, 340], "persistpath": [5, 81, 340], "setdocach": [5, 81, 340], "setexecutorcor": [5, 81, 340], "setnumpartit": [5, 81, 90, 100, 116, 340, 358, 375], "setnumwork": [5, 81, 340], "setoutputopt": [5, 81, 340], "setpersistformat": [5, 81, 340], "setpersistpath": [5, 81, 340], "entitynam": [5, 82, 341], "setentitynam": [5, 82, 341], "chunkoverlap": [5, 86, 345], "chunksiz": [5, 86, 345], "explodesplit": [5, 86, 88, 345, 347], "keepsepar": [5, 86, 345], "patternsareregex": [5, 86, 345], "setchunkoverlap": [5, 86, 345], "setchunks": [5, 86, 345], "setexplodesplit": [5, 86, 88, 345, 347], "setkeepsepar": [5, 86, 345], "setpatternsareregex": [5, 86, 345], "setsplitpattern": [5, 86, 189, 193, 345, 453], "settrimwhitespac": [5, 86, 88, 189, 192, 345, 347, 452], "splitpattern": [5, 86, 189, 193, 345, 453], "trimwhitespac": [5, 86, 88, 189, 192, 345, 347, 452], "action": [5, 87, 346], "encod": [5, 28, 59, 60, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 87, 93, 94, 98, 104, 105, 109, 115, 143, 163, 169, 170, 172, 234, 286, 318, 323, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 346, 351, 352, 356, 363, 364, 368, 374, 403, 422, 429, 430, 432, 494], "lowercas": [5, 59, 60, 87, 144, 192, 196, 197, 199, 318, 346, 404, 452, 456, 458], "pattern": [5, 11, 60, 61, 86, 87, 122, 131, 133, 144, 184, 185, 189, 192, 193, 195, 196, 210, 237, 270, 318, 319, 345, 346, 380, 390, 393, 404, 444, 445, 452, 453, 456, 470], "polici": [5, 87, 346], "replac": [5, 80, 87, 98, 102, 105, 127, 128, 142, 155, 163, 184, 185, 220, 339, 346, 356, 360, 364, 387, 388, 402, 415, 422, 444, 445, 480, 526], "setact": [5, 87, 346], "setencod": [5, 59, 60, 87, 318, 346], "setlowercas": [5, 59, 60, 87, 144, 197, 199, 213, 318, 346, 404, 458, 473], "setpattern": [5, 87, 189, 192, 195, 196, 346, 452, 456], "setpolici": [5, 87, 346], "setreplac": [5, 87, 346], "numtoken": [5, 88, 347], "setnumtoken": [5, 88, 347], "settokenoverlap": [5, 88, 347], "tokenoverlap": [5, 88, 347], "delimit": [5, 13, 19, 37, 45, 117, 122, 123, 128, 129, 133, 135, 139, 144, 157, 192, 212, 237, 252, 254, 271, 277, 295, 304, 376, 380, 382, 388, 393, 395, 399, 404, 417, 452, 472, 498, 512, 515], "entitytyp": [5, 123, 382], "explodeent": [5, 123, 382], "includeedg": [5, 123, 382], "maxsentences": [5, 123, 382], "mergeent": [5, 123, 382], "mergeentitiesiobformat": [5, 123, 382], "minsentences": [5, 123, 382], "optionalinputannotatortyp": [5, 121, 122, 123, 214, 217, 380, 382, 476], "posmodel": [5, 123, 382], "relationshiptyp": [5, 123, 382], "roottoken": [5, 123, 382], "setdelimit": [5, 123, 129, 133, 135, 382, 393, 395], "setdependencyparsermodel": [5, 123, 382], "setentitytyp": [5, 123, 382], "setexplodeent": [5, 123, 382], "setincludeedg": [5, 123, 382], "setmaxsentences": [5, 64, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 123, 323, 327, 329, 330, 331, 332, 333, 334, 335, 336, 382], "setmergeent": [5, 123, 382], "setmergeentitiesiobformat": [5, 123, 382], "setminsentences": [5, 123, 382], "setposmodel": [5, 123, 382], "setrelationshiptyp": [5, 123, 382], "setroottoken": [5, 123, 382], "settypeddependencyparsermodel": [5, 123, 382], "dictionari": [5, 81, 117, 125, 128, 133, 139, 142, 143, 144, 156, 157, 182, 184, 185, 210, 234, 258, 340, 376, 385, 388, 393, 399, 402, 403, 404, 417, 444, 445, 470, 494, 519], "formcol": [5, 128, 253, 388, 513], "lemmacol": [5, 128, 253, 388, 513], "setdictionari": [5, 128, 156, 157, 182, 184, 185, 388, 417, 444, 445], "setformcol": [5, 128, 388], "setlemmacol": [5, 128, 388], "enablecumul": [5, 135, 395], "n": [5, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 86, 88, 92, 119, 125, 135, 138, 139, 140, 146, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 191, 208, 210, 212, 221, 226, 236, 237, 240, 260, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 345, 347, 350, 378, 385, 395, 398, 399, 400, 406, 414, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 451, 468, 470, 472, 481, 486, 497, 501], "setenablecumul": [5, 135, 395], "setn": [5, 97, 135, 355, 395], "cleanuppattern": [5, 87, 144, 346, 404], "maxlength": [5, 144, 153, 154, 155, 189, 192, 193, 404, 414, 415, 452, 453], "minlength": [5, 144, 153, 154, 155, 189, 192, 193, 404, 414, 415, 452, 453], "setcleanuppattern": [5, 144, 404], "setmaxlength": [5, 144, 153, 154, 155, 189, 192, 193, 404, 414, 415, 452, 453], "setminlength": [5, 144, 153, 154, 155, 189, 192, 193, 404, 414, 415, 452, 453], "setslangdictionari": [5, 144, 404], "slangdictionari": [5, 144, 404], "slangmatchcas": [5, 144, 404], "casesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 129, 130, 134, 182, 184, 187, 214, 221, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 389, 394, 444, 447, 481], "loaddefaultstopword": [5, 124, 125, 187, 385, 447], "setcasesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 97, 99, 105, 110, 118, 129, 130, 134, 139, 182, 184, 187, 201, 213, 214, 221, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 302, 304, 305, 306, 307, 308, 311, 312, 313, 314, 315, 316, 317, 355, 357, 364, 369, 377, 389, 394, 399, 444, 447, 460, 473, 481], "setlocal": [5, 187, 447], "setstopword": [5, 124, 125, 142, 187, 385, 402, 447], "stopword": [5, 124, 125, 142, 187, 385, 402, 447], "getgraphfil": [5, 188, 448], "getgraphfold": [5, 188, 448], "gethiddenunitsnumb": [5, 188, 448], "getinputcol": [5, 180, 181, 188, 197, 201, 202, 203, 214, 217, 440, 448, 460, 461, 462, 476], "getlabelcolumn": [5, 136, 137, 188, 397, 448], "graphfil": [5, 188, 448], "graphfold": [5, 136, 140, 141, 182, 183, 188, 400, 401, 442, 448], "hiddenunitsnumb": [5, 188, 448], "inputcol": [5, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 36, 38, 39, 42, 44, 46, 47, 49, 50, 53, 54, 56, 57, 112, 127, 136, 141, 180, 181, 188, 197, 198, 200, 201, 202, 203, 204, 207, 209, 210, 214, 217, 235, 237, 238, 245, 273, 275, 276, 279, 281, 283, 285, 286, 288, 290, 292, 294, 298, 301, 303, 306, 308, 309, 313, 315, 316, 371, 387, 401, 440, 448, 457, 459, 460, 461, 462, 463, 466, 469, 470, 476, 498, 499, 506], "inputcolsvalid": [5, 188, 214, 217, 448, 476], "labelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 141, 148, 149, 188, 286, 303, 309, 397, 399, 400, 401, 408, 448], "setgraphfil": [5, 188, 448], "setgraphfold": [5, 136, 140, 141, 182, 183, 188, 400, 401, 442, 448], "sethiddenunitsnumb": [5, 188, 448], "setinputcol": [5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 214, 217, 234, 235, 237, 238, 243, 245, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 472, 473, 476, 494, 498, 499, 506, 522, 526, 527], "setlabelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 141, 148, 149, 188, 234, 286, 303, 309, 397, 399, 400, 401, 408, 448, 494, 522, 526], "avail": [5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 125, 127, 128, 131, 133, 139, 140, 141, 152, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 196, 221, 240, 241, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 383, 385, 387, 388, 390, 393, 399, 400, 401, 412, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 445, 447, 456, 481, 489, 501, 502, 509, 522, 529], "configprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 126, 127, 136, 140, 148, 149, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 182, 183, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 387, 400, 408, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442], "loadsavedmodel": [6, 7, 8, 9, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 90, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439], "setconfigprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 62, 63, 64, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 126, 127, 136, 140, 148, 149, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 182, 183, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 322, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 368, 369, 370, 374, 377, 378, 379, 387, 400, 408, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442], "getismultilingu": [6, 9, 268], "getlanguag": [6, 9, 268], "ismultilingu": [6, 9, 268], "setlanguag": [6, 9, 268], "settask": [6, 9, 159, 163, 166, 179, 214, 221, 268, 422, 425, 439, 481], "concern": [7, 8, 9, 15, 66, 67, 78, 79, 80, 82, 91, 265, 267, 268, 273, 324, 325, 337, 338, 339, 341, 349], "classnam": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 212, 215, 216, 223, 229, 238, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 393, 394, 399, 400, 401, 403, 404, 406, 407, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 453, 456, 472, 474, 475, 483, 489, 499], "java_model": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 206, 212, 216, 232, 238, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 393, 394, 399, 400, 401, 403, 404, 406, 407, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 447, 449, 451, 453, 456, 465, 472, 475, 493, 499], "hubert": [7, 265], "head": [7, 8, 9, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 63, 86, 91, 120, 138, 139, 140, 162, 208, 226, 240, 265, 267, 268, 271, 272, 273, 274, 277, 278, 279, 280, 282, 283, 284, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 311, 312, 313, 314, 316, 317, 322, 345, 349, 379, 398, 399, 400, 421, 468, 486, 501, 526], "top": [7, 8, 9, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 91, 125, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 203, 209, 221, 260, 265, 267, 268, 271, 272, 273, 274, 277, 278, 279, 280, 282, 283, 284, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 311, 312, 313, 314, 316, 317, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 349, 385, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 462, 469, 481], "connectionist": [7, 8, 9, 265, 267, 268], "tempor": [7, 8, 9, 265, 267, 268], "classif": [7, 8, 9, 12, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 66, 67, 78, 80, 91, 95, 101, 104, 106, 115, 158, 163, 179, 221, 258, 265, 267, 268, 271, 272, 273, 274, 277, 278, 279, 280, 282, 283, 284, 286, 287, 288, 289, 291, 292, 293, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 311, 312, 313, 314, 316, 317, 324, 325, 337, 339, 349, 353, 359, 363, 365, 374, 418, 422, 439, 481, 519, 526], "ctc": [7, 8, 9, 265, 267, 268], "wa": [7, 8, 15, 16, 18, 21, 22, 23, 28, 30, 31, 32, 34, 35, 36, 39, 40, 43, 47, 48, 49, 50, 54, 55, 56, 57, 58, 66, 67, 78, 86, 87, 88, 96, 98, 99, 105, 110, 111, 117, 118, 119, 125, 146, 147, 158, 163, 166, 167, 169, 171, 174, 178, 183, 236, 240, 265, 267, 273, 274, 276, 279, 280, 281, 286, 288, 289, 290, 292, 293, 294, 298, 299, 302, 306, 307, 308, 309, 313, 314, 315, 316, 317, 324, 325, 337, 345, 346, 347, 354, 356, 357, 364, 369, 370, 376, 377, 378, 385, 406, 407, 418, 422, 425, 427, 429, 431, 434, 438, 442, 497, 501, 526, 527], "propos": [7, 8, 67, 78, 91, 96, 98, 99, 107, 110, 111, 114, 118, 119, 120, 172, 265, 267, 325, 337, 349, 354, 356, 357, 366, 369, 370, 373, 377, 378, 379, 432], "self": [7, 8, 78, 91, 105, 106, 170, 265, 267, 318, 337, 349, 364, 365, 430], "supervis": [7, 8, 9, 91, 101, 103, 109, 115, 125, 163, 166, 169, 175, 265, 267, 268, 349, 359, 361, 368, 374, 385, 422, 425, 429, 435], "speech": [7, 8, 9, 11, 96, 151, 152, 196, 254, 258, 265, 267, 268, 270, 354, 411, 412, 456, 515, 532], "represent": [7, 8, 78, 91, 93, 94, 99, 100, 101, 103, 113, 116, 117, 118, 119, 120, 138, 179, 181, 212, 225, 237, 238, 265, 267, 337, 349, 351, 352, 357, 358, 359, 361, 372, 375, 376, 377, 378, 379, 398, 439, 440, 472, 485, 498], "learn": [7, 8, 28, 44, 50, 71, 73, 77, 82, 91, 99, 100, 103, 110, 111, 115, 116, 118, 119, 120, 125, 139, 140, 149, 155, 160, 161, 162, 163, 165, 166, 167, 168, 173, 174, 175, 177, 179, 183, 221, 234, 265, 267, 286, 303, 309, 330, 332, 336, 341, 349, 357, 358, 361, 369, 370, 374, 375, 377, 378, 379, 385, 399, 400, 408, 415, 419, 420, 421, 422, 424, 425, 427, 428, 433, 434, 435, 437, 439, 442, 481, 494, 524], "mask": [7, 78, 98, 107, 118, 119, 120, 163, 192, 265, 337, 356, 366, 377, 378, 379, 422, 452], "predict": [7, 9, 66, 78, 98, 107, 140, 160, 161, 162, 166, 179, 221, 234, 265, 268, 324, 337, 356, 366, 400, 419, 420, 421, 425, 439, 481, 494, 522], "hidden": [7, 14, 16, 20, 22, 24, 26, 29, 31, 33, 35, 38, 40, 41, 43, 46, 48, 52, 53, 55, 58, 91, 103, 120, 188, 265, 272, 274, 278, 280, 282, 284, 287, 289, 291, 293, 297, 299, 300, 302, 305, 307, 311, 312, 314, 317, 349, 361, 379, 448], "unit": [7, 166, 167, 188, 265, 425, 427, 448], "wei": [7, 78, 265, 337], "ning": [7, 265], "hsu": [7, 265], "benjamin": [7, 96, 265, 354], "bolt": [7, 265], "yao": [7, 265], "hung": [7, 265], "tsai": [7, 265], "kushal": [7, 265], "lakhotia": [7, 265], "ruslan": [7, 265], "salakhutdinov": [7, 265], "abdelrahman": [7, 8, 265, 267], "moham": [7, 8, 265, 267], "take": [7, 8, 17, 18, 23, 36, 49, 51, 56, 86, 88, 96, 107, 123, 134, 161, 162, 172, 184, 187, 193, 211, 252, 265, 267, 275, 276, 281, 294, 308, 310, 315, 345, 347, 354, 366, 382, 394, 408, 409, 420, 421, 432, 444, 447, 453, 471, 476, 481, 492, 498, 512, 525, 526, 530, 531], "transcrib": [7, 8, 9, 265, 267, 268], "text": [7, 8, 9, 10, 11, 12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 82, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 129, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 189, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 214, 220, 221, 222, 225, 226, 234, 236, 237, 238, 244, 245, 246, 247, 249, 250, 252, 253, 254, 255, 258, 259, 265, 267, 268, 269, 270, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 296, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 450, 451, 452, 453, 454, 456, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 480, 481, 482, 485, 486, 494, 497, 498, 499, 504, 506, 507, 508, 510, 511, 512, 513, 515, 516, 519, 520, 522, 525, 526, 527, 531, 532], "need": [7, 8, 9, 11, 17, 84, 85, 95, 99, 101, 109, 110, 117, 122, 123, 125, 128, 131, 133, 139, 140, 141, 144, 150, 152, 155, 158, 160, 162, 166, 169, 172, 174, 183, 184, 185, 192, 193, 198, 207, 208, 210, 234, 241, 252, 253, 254, 260, 265, 267, 268, 270, 275, 342, 344, 348, 353, 357, 359, 368, 369, 376, 380, 382, 385, 390, 393, 399, 400, 401, 404, 409, 412, 415, 418, 419, 421, 425, 429, 432, 434, 442, 444, 445, 452, 453, 457, 466, 468, 470, 494, 502, 512, 513, 515, 522, 524, 526, 527, 530, 532], "provid": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 131, 132, 133, 134, 139, 140, 144, 152, 155, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 196, 203, 208, 221, 226, 240, 249, 259, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 387, 388, 389, 390, 392, 393, 394, 399, 400, 404, 408, 409, 412, 415, 417, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 445, 456, 462, 468, 476, 481, 486, 488, 492, 498, 501, 510, 520, 527], "pre": [7, 8, 9, 28, 44, 50, 66, 80, 93, 94, 98, 99, 101, 103, 106, 107, 109, 115, 140, 150, 163, 179, 193, 200, 202, 209, 213, 253, 265, 267, 268, 286, 303, 309, 324, 339, 351, 352, 356, 357, 359, 361, 365, 366, 368, 374, 400, 409, 422, 439, 459, 461, 469, 473, 513, 526], "processor": [7, 8, 265, 267], "m1": [7, 8, 265, 267], "due": [7, 8, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 91, 105, 114, 163, 265, 267, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 349, 364, 373, 422], "instruct": [7, 8, 73, 76, 90, 104, 165, 168, 171, 175, 265, 267, 332, 335, 363, 424, 428, 431, 435], "xla": [7, 8, 265, 267], "can": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 133, 138, 139, 140, 142, 143, 146, 147, 152, 154, 155, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 194, 196, 200, 201, 209, 210, 211, 212, 217, 221, 225, 234, 240, 241, 246, 247, 250, 252, 253, 254, 260, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 393, 398, 399, 400, 402, 403, 406, 407, 412, 414, 415, 417, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 454, 456, 459, 460, 469, 470, 471, 472, 481, 485, 494, 501, 502, 507, 508, 511, 512, 513, 515, 522, 524, 526, 527, 529, 530, 531, 532], "companion": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 139, 140, 143, 152, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 196, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 399, 400, 403, 412, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 445, 447, 456, 490], "speechtotext": [7, 8, 9, 265, 267, 268], "setoutputcol": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 214, 217, 234, 235, 237, 238, 243, 245, 249, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 472, 473, 476, 494, 498, 499, 506, 510, 522, 526, 527], "asr_hubert_large_ls960": [7, 9, 265, 268], "For": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 143, 144, 146, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 193, 196, 200, 201, 202, 203, 209, 210, 213, 221, 234, 236, 240, 241, 255, 260, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 403, 404, 406, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 453, 456, 459, 460, 461, 462, 469, 470, 473, 481, 494, 497, 501, 502, 516, 522, 523, 525, 526, 527, 528, 529, 530], "pleas": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 72, 74, 75, 76, 78, 79, 80, 84, 85, 92, 93, 94, 95, 96, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 127, 128, 130, 131, 133, 134, 139, 140, 144, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 190, 191, 196, 200, 209, 210, 211, 241, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 331, 333, 334, 335, 337, 338, 339, 342, 344, 350, 351, 352, 353, 354, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 387, 388, 389, 390, 393, 394, 399, 400, 404, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 445, 447, 449, 451, 456, 459, 469, 470, 471, 502, 523, 524, 528, 531], "see": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 193, 196, 200, 201, 202, 203, 204, 209, 210, 213, 221, 224, 234, 240, 241, 255, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 453, 456, 459, 460, 461, 462, 463, 469, 470, 473, 481, 484, 494, 501, 502, 516, 522, 523, 524, 529, 531, 532], "hub": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 127, 128, 139, 140, 152, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 196, 241, 258, 261, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 387, 388, 399, 400, 412, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 445, 447, 456, 502, 519], "To": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 92, 93, 95, 96, 98, 99, 105, 110, 114, 118, 120, 125, 131, 133, 152, 154, 160, 161, 162, 163, 166, 173, 179, 196, 204, 208, 210, 211, 234, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 311, 312, 313, 314, 315, 316, 317, 323, 324, 325, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 350, 351, 353, 354, 356, 357, 364, 369, 373, 377, 379, 385, 390, 393, 412, 414, 419, 420, 421, 422, 425, 433, 439, 456, 463, 468, 470, 471, 494, 522, 530], "which": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 91, 93, 94, 95, 96, 98, 99, 100, 103, 104, 105, 108, 110, 112, 113, 114, 115, 116, 118, 120, 123, 125, 131, 132, 133, 140, 143, 144, 146, 147, 154, 155, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 192, 196, 201, 203, 208, 221, 226, 241, 252, 253, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 348, 349, 351, 352, 353, 354, 356, 357, 358, 361, 363, 364, 367, 369, 371, 372, 373, 374, 375, 377, 379, 382, 385, 390, 392, 393, 400, 403, 404, 406, 407, 414, 415, 417, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 444, 452, 456, 460, 462, 468, 481, 486, 502, 512, 513, 526, 527], "compat": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 96, 98, 99, 105, 110, 115, 118, 120, 140, 201, 207, 241, 259, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 311, 312, 313, 314, 315, 316, 317, 323, 324, 325, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 354, 356, 357, 364, 369, 377, 379, 400, 460, 466, 502, 520], "import": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 226, 234, 240, 245, 246, 249, 250, 252, 253, 254, 255, 256, 260, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 466, 468, 469, 470, 471, 472, 473, 486, 494, 501, 506, 507, 510, 511, 512, 513, 515, 516, 517, 522, 525, 526, 529, 530, 531, 532], "them": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 96, 98, 99, 105, 110, 118, 120, 122, 123, 125, 131, 133, 155, 168, 170, 178, 183, 187, 196, 207, 211, 213, 237, 247, 260, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 354, 356, 357, 364, 369, 377, 379, 380, 382, 385, 390, 393, 415, 428, 430, 438, 442, 447, 456, 466, 471, 473, 498, 508, 526, 527], "5669": [7, 8, 9, 66, 67, 78, 79, 80, 96, 265, 267, 268, 324, 325, 337, 338, 339, 354], "more": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 87, 96, 99, 101, 103, 104, 112, 118, 119, 123, 125, 131, 135, 138, 143, 146, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 192, 193, 200, 201, 202, 209, 210, 213, 221, 234, 236, 238, 240, 246, 247, 250, 255, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 346, 354, 357, 359, 361, 363, 371, 377, 378, 382, 385, 390, 395, 398, 403, 406, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 444, 452, 453, 459, 460, 461, 469, 470, 473, 481, 494, 497, 499, 501, 507, 508, 511, 516, 522, 523, 524, 526, 529, 532], "extend": [7, 8, 9, 11, 28, 44, 50, 63, 66, 67, 71, 73, 76, 77, 78, 79, 80, 84, 85, 86, 87, 88, 91, 92, 93, 94, 96, 97, 99, 103, 110, 112, 115, 117, 118, 120, 125, 127, 128, 131, 132, 133, 134, 135, 139, 140, 141, 143, 144, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 170, 179, 181, 183, 184, 186, 187, 191, 193, 196, 200, 201, 202, 203, 209, 210, 213, 240, 265, 267, 268, 270, 286, 303, 309, 318, 322, 324, 325, 330, 332, 335, 336, 337, 338, 339, 342, 344, 345, 346, 347, 349, 350, 351, 352, 354, 355, 357, 361, 369, 371, 374, 376, 377, 379, 385, 387, 388, 390, 392, 393, 394, 395, 399, 400, 401, 403, 404, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 430, 439, 440, 442, 444, 446, 447, 451, 453, 456, 459, 460, 461, 462, 469, 470, 473, 501], "exampl": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 226, 234, 236, 238, 240, 241, 245, 246, 247, 249, 250, 252, 253, 254, 255, 256, 261, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 288, 289, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 471, 472, 473, 486, 494, 497, 499, 501, 502, 506, 507, 508, 510, 511, 512, 513, 515, 516, 517, 522, 525, 526, 527, 529, 530, 531, 532], "hubertforctctestspec": [7, 265], "paper": [7, 9, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 113, 114, 115, 116, 118, 119, 120, 125, 155, 158, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 196, 221, 255, 265, 268, 318, 325, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 368, 369, 370, 372, 373, 374, 375, 377, 378, 379, 385, 415, 418, 422, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 456, 516, 532], "abstract": [7, 9, 67, 78, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 113, 114, 115, 118, 119, 120, 125, 163, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 255, 265, 268, 318, 325, 337, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 368, 369, 370, 372, 373, 374, 377, 378, 379, 385, 422, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 448, 484, 516, 532], "approach": [7, 9, 67, 78, 102, 106, 110, 111, 114, 120, 125, 137, 139, 140, 143, 155, 157, 163, 166, 167, 168, 171, 174, 179, 183, 184, 185, 215, 265, 268, 325, 337, 360, 365, 369, 370, 373, 379, 385, 397, 399, 400, 403, 415, 417, 422, 425, 427, 428, 431, 434, 439, 442, 444, 445, 474, 529], "challeng": [7, 44, 78, 99, 103, 104, 110, 111, 114, 125, 171, 172, 174, 265, 303, 337, 357, 361, 363, 369, 370, 373, 385, 431, 432, 434], "three": [7, 95, 183, 194, 265, 353, 442, 454], "uniqu": [7, 146, 147, 163, 224, 265, 406, 407, 422, 484], "problem": [7, 17, 44, 91, 103, 107, 114, 163, 179, 183, 196, 265, 275, 303, 349, 361, 366, 373, 422, 439, 442, 456], "multipl": [7, 9, 13, 19, 37, 44, 45, 77, 80, 95, 96, 122, 125, 131, 154, 161, 163, 168, 172, 177, 178, 181, 193, 226, 234, 236, 237, 245, 249, 252, 265, 268, 271, 277, 295, 303, 304, 336, 339, 353, 354, 380, 385, 390, 414, 420, 422, 428, 432, 437, 438, 440, 453, 486, 494, 497, 498, 506, 510, 512], "sound": [7, 86, 265, 345], "each": [7, 8, 17, 18, 23, 27, 28, 32, 36, 44, 49, 50, 56, 67, 78, 79, 80, 86, 95, 98, 100, 101, 107, 109, 112, 116, 117, 122, 123, 125, 128, 130, 131, 133, 134, 135, 137, 139, 140, 141, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 161, 162, 163, 177, 181, 183, 184, 185, 192, 193, 196, 200, 209, 220, 221, 226, 232, 249, 254, 265, 267, 275, 276, 281, 285, 286, 290, 294, 303, 308, 309, 315, 325, 337, 338, 339, 345, 353, 356, 358, 359, 366, 368, 371, 375, 376, 380, 382, 385, 388, 389, 390, 393, 394, 395, 397, 399, 400, 403, 404, 406, 407, 409, 412, 414, 415, 417, 420, 421, 422, 437, 440, 442, 444, 445, 452, 453, 456, 459, 469, 480, 481, 486, 493, 510, 515, 527], "input": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 221, 226, 232, 236, 237, 238, 240, 245, 249, 252, 253, 254, 255, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 401, 402, 403, 404, 406, 407, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 476, 481, 486, 493, 497, 498, 499, 501, 506, 510, 512, 513, 515, 516, 526, 527, 530, 532], "utter": [7, 265], "lexicon": [7, 265], "phase": [7, 99, 141, 163, 265, 357, 401, 422], "have": [7, 17, 18, 23, 28, 36, 44, 49, 50, 56, 88, 91, 96, 99, 104, 110, 111, 117, 125, 133, 135, 138, 139, 140, 142, 146, 152, 154, 155, 161, 162, 164, 165, 166, 167, 168, 172, 173, 174, 175, 177, 185, 194, 210, 213, 260, 265, 275, 276, 281, 286, 294, 303, 308, 309, 315, 347, 348, 349, 354, 357, 363, 369, 370, 376, 385, 393, 395, 398, 399, 400, 402, 406, 412, 414, 415, 420, 421, 423, 424, 425, 427, 428, 432, 433, 434, 435, 437, 445, 454, 470, 473, 489, 509, 526, 527, 530], "variabl": [7, 100, 116, 210, 265, 358, 375, 470], "length": [7, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 86, 88, 91, 93, 94, 95, 96, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 135, 144, 146, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 192, 193, 210, 221, 236, 237, 245, 265, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 345, 347, 348, 349, 351, 352, 353, 354, 356, 357, 358, 359, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 375, 377, 378, 379, 395, 404, 406, 414, 415, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 452, 453, 470, 481, 497, 506], "explicit": [7, 131, 154, 166, 265, 348, 414, 425], "segment": [7, 63, 67, 68, 78, 99, 110, 195, 196, 258, 265, 322, 325, 326, 337, 357, 369, 455, 456], "deal": [7, 208, 265, 468, 530], "we": [7, 8, 9, 28, 44, 67, 78, 80, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 114, 115, 116, 118, 119, 120, 125, 139, 140, 141, 144, 146, 155, 160, 161, 162, 163, 166, 167, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 193, 208, 210, 226, 260, 265, 267, 268, 286, 303, 318, 325, 337, 339, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 368, 369, 370, 373, 374, 375, 377, 378, 379, 385, 399, 400, 401, 404, 406, 415, 419, 420, 421, 422, 425, 427, 429, 430, 431, 432, 433, 434, 435, 437, 438, 439, 442, 444, 453, 468, 470, 486, 522, 525, 526, 527, 530, 531, 532], "bert": [7, 15, 19, 20, 21, 22, 23, 25, 27, 30, 34, 35, 39, 42, 47, 51, 54, 57, 79, 91, 93, 94, 98, 99, 105, 106, 107, 110, 111, 113, 118, 119, 120, 140, 142, 143, 163, 179, 265, 273, 277, 278, 279, 280, 281, 283, 285, 288, 292, 293, 298, 301, 306, 310, 313, 316, 338, 349, 351, 352, 356, 357, 364, 365, 366, 369, 370, 372, 377, 378, 379, 400, 402, 403, 422, 439], "offlin": [7, 234, 265, 494], "step": [7, 28, 44, 50, 100, 116, 140, 150, 234, 265, 286, 303, 309, 358, 375, 400, 409, 494, 522, 526], "align": [7, 175, 177, 265, 435, 437], "target": [7, 81, 115, 128, 160, 161, 162, 163, 169, 170, 172, 193, 199, 208, 221, 240, 265, 318, 340, 374, 419, 420, 421, 422, 429, 430, 432, 453, 458, 468, 481, 501], "label": [7, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 66, 67, 78, 80, 84, 85, 95, 101, 114, 122, 127, 137, 138, 139, 140, 141, 143, 149, 150, 157, 158, 179, 183, 188, 196, 221, 234, 252, 265, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 324, 325, 337, 339, 342, 344, 353, 359, 373, 380, 387, 397, 398, 399, 400, 401, 403, 408, 409, 417, 418, 439, 442, 448, 456, 481, 494, 512, 522, 526], "loss": [7, 91, 99, 104, 140, 179, 265, 349, 357, 363, 400, 439, 522], "A": [7, 8, 50, 63, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 102, 110, 111, 113, 117, 122, 125, 128, 130, 133, 134, 135, 143, 144, 146, 147, 157, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 184, 185, 192, 193, 203, 207, 221, 234, 236, 250, 254, 260, 265, 267, 309, 322, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 348, 349, 360, 369, 370, 372, 376, 380, 385, 388, 389, 393, 394, 395, 403, 404, 406, 407, 417, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 444, 445, 452, 453, 462, 466, 481, 494, 497, 511, 515, 524, 526, 532], "ingredi": [7, 265], "our": [7, 91, 95, 96, 99, 100, 101, 103, 104, 105, 110, 111, 115, 116, 118, 119, 125, 155, 163, 166, 167, 168, 169, 171, 172, 174, 175, 177, 178, 179, 226, 240, 265, 349, 353, 354, 357, 358, 359, 361, 363, 364, 369, 370, 374, 375, 377, 378, 385, 415, 422, 425, 427, 428, 429, 431, 432, 434, 435, 437, 438, 439, 486, 501, 531], "appli": [7, 10, 28, 44, 50, 67, 80, 86, 87, 122, 123, 140, 142, 150, 154, 160, 161, 162, 179, 183, 184, 202, 203, 210, 221, 226, 227, 230, 237, 252, 265, 269, 286, 303, 309, 325, 339, 345, 346, 380, 382, 400, 402, 409, 414, 419, 420, 421, 439, 442, 444, 461, 462, 470, 481, 486, 490, 512], "over": [7, 69, 86, 99, 107, 118, 119, 120, 163, 167, 171, 172, 184, 187, 193, 221, 226, 234, 265, 327, 345, 357, 366, 377, 378, 379, 422, 427, 431, 432, 444, 453, 481, 486, 494, 522], "region": [7, 265], "onli": [7, 9, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 87, 95, 101, 102, 103, 106, 107, 115, 120, 131, 133, 144, 146, 154, 155, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 191, 196, 203, 210, 211, 220, 221, 237, 245, 252, 259, 265, 268, 318, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 345, 346, 353, 359, 360, 361, 365, 366, 374, 379, 390, 393, 404, 406, 414, 415, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 451, 456, 462, 470, 471, 480, 481, 498, 506, 512, 520], "forc": [7, 92, 160, 161, 162, 221, 237, 245, 265, 350, 419, 420, 421, 481], "combin": [7, 17, 18, 23, 27, 32, 36, 49, 56, 79, 99, 105, 117, 125, 163, 169, 172, 179, 183, 184, 196, 249, 265, 275, 276, 281, 285, 290, 294, 308, 315, 338, 357, 364, 376, 385, 422, 429, 432, 439, 442, 444, 456, 510], "acoust": [7, 265], "continu": [7, 138, 160, 161, 162, 166, 181, 204, 221, 265, 398, 419, 420, 421, 425, 440, 463, 481, 522], "reli": [7, 84, 85, 120, 125, 265, 342, 344, 379, 385], "primarili": [7, 114, 265, 373], "consist": [7, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 98, 105, 133, 152, 158, 174, 177, 196, 212, 249, 254, 265, 323, 327, 329, 330, 331, 332, 333, 334, 335, 336, 349, 356, 364, 393, 412, 418, 434, 437, 456, 472, 510, 515], "unsupervis": [7, 118, 119, 120, 125, 163, 166, 265, 377, 378, 379, 385, 422, 425], "rather": [7, 67, 92, 160, 161, 162, 221, 265, 325, 348, 350, 419, 420, 421, 481], "than": [7, 44, 50, 67, 92, 95, 99, 100, 102, 104, 106, 116, 118, 119, 120, 125, 127, 135, 139, 146, 160, 161, 162, 165, 166, 167, 168, 169, 170, 174, 175, 178, 184, 185, 221, 265, 303, 309, 325, 348, 350, 353, 357, 358, 360, 363, 365, 375, 377, 378, 379, 385, 387, 395, 399, 406, 419, 420, 421, 424, 425, 427, 428, 429, 430, 434, 435, 438, 444, 445, 481, 526], "intrins": [7, 67, 265, 325], "qualiti": [7, 70, 78, 113, 114, 166, 168, 169, 172, 175, 178, 265, 329, 337, 372, 373, 425, 428, 429, 432, 435, 438], "assign": [7, 44, 122, 142, 157, 265, 303, 380, 402, 417], "simpl": [7, 60, 93, 94, 106, 122, 166, 265, 318, 351, 352, 365, 380, 425, 527], "k": [7, 9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 201, 203, 221, 265, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 460, 462, 481], "mean": [7, 9, 11, 17, 18, 23, 27, 32, 36, 44, 49, 56, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 92, 108, 113, 114, 118, 125, 127, 131, 132, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 192, 201, 208, 210, 221, 265, 268, 270, 275, 276, 281, 285, 290, 294, 303, 308, 315, 318, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 350, 367, 372, 373, 377, 385, 387, 390, 392, 406, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 452, 460, 468, 470, 481, 526, 527, 530], "teacher": [7, 265], "100": [7, 28, 44, 51, 80, 100, 116, 118, 125, 146, 155, 169, 212, 250, 265, 286, 303, 310, 339, 358, 375, 377, 385, 406, 415, 429, 472, 511], "two": [7, 44, 71, 72, 73, 75, 76, 77, 78, 84, 85, 91, 98, 100, 115, 116, 117, 118, 119, 123, 141, 162, 175, 194, 210, 252, 265, 303, 330, 331, 332, 334, 335, 336, 337, 342, 344, 349, 356, 358, 374, 375, 376, 377, 378, 382, 401, 421, 435, 454, 470, 512, 526], "iter": [7, 84, 85, 91, 100, 116, 152, 168, 196, 210, 234, 265, 342, 344, 349, 358, 375, 412, 428, 456, 470, 494, 522], "either": [7, 9, 28, 50, 80, 81, 85, 96, 97, 112, 122, 125, 127, 133, 157, 158, 179, 196, 199, 208, 209, 212, 240, 245, 265, 268, 286, 309, 339, 340, 344, 354, 355, 371, 380, 385, 387, 393, 417, 418, 439, 456, 458, 468, 469, 472, 501, 506, 527], "match": [7, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 67, 71, 87, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 122, 129, 130, 131, 132, 133, 134, 144, 152, 154, 163, 166, 168, 178, 193, 196, 199, 210, 220, 221, 265, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 325, 330, 346, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 375, 377, 378, 379, 380, 389, 390, 391, 392, 393, 394, 404, 412, 414, 422, 425, 428, 438, 453, 456, 458, 470, 480, 481, 525], "improv": [7, 81, 91, 93, 94, 96, 98, 103, 104, 110, 111, 114, 118, 119, 139, 140, 166, 167, 168, 172, 173, 174, 175, 177, 179, 181, 237, 265, 340, 349, 351, 352, 354, 356, 361, 363, 369, 370, 373, 377, 378, 399, 400, 425, 427, 428, 432, 433, 434, 435, 437, 439, 440, 531], "upon": [7, 70, 88, 95, 125, 160, 161, 162, 177, 178, 221, 265, 329, 347, 353, 385, 419, 420, 421, 437, 438, 481], "state": [7, 14, 16, 20, 22, 24, 26, 28, 29, 31, 33, 35, 38, 40, 41, 43, 44, 46, 48, 50, 52, 53, 55, 58, 67, 69, 78, 80, 91, 93, 94, 96, 101, 103, 104, 105, 107, 110, 111, 114, 120, 125, 140, 163, 166, 167, 172, 173, 174, 175, 176, 179, 209, 265, 272, 274, 278, 280, 282, 284, 286, 287, 289, 291, 293, 297, 299, 300, 302, 303, 305, 307, 309, 311, 312, 314, 317, 325, 327, 337, 339, 349, 351, 352, 354, 359, 361, 363, 364, 366, 369, 370, 373, 379, 385, 400, 422, 425, 427, 432, 433, 434, 435, 436, 439, 469, 523, 526], "art": [7, 28, 44, 67, 69, 78, 80, 91, 93, 94, 95, 96, 101, 103, 104, 105, 107, 110, 111, 114, 120, 125, 140, 163, 166, 172, 173, 174, 175, 176, 179, 209, 265, 286, 303, 325, 327, 337, 339, 349, 351, 352, 353, 354, 359, 361, 363, 364, 366, 369, 370, 373, 379, 385, 400, 422, 425, 432, 433, 434, 435, 436, 439, 469], "wav2vec": [7, 8, 265, 267], "perform": [7, 67, 71, 77, 78, 80, 81, 87, 91, 95, 96, 98, 99, 101, 102, 103, 104, 106, 109, 110, 111, 113, 115, 117, 118, 119, 120, 140, 141, 158, 163, 164, 165, 166, 167, 168, 169, 171, 172, 174, 175, 177, 178, 179, 181, 184, 237, 250, 265, 325, 330, 336, 337, 339, 340, 346, 349, 353, 354, 356, 357, 359, 360, 361, 363, 365, 368, 369, 370, 372, 374, 376, 377, 378, 379, 400, 401, 418, 422, 423, 424, 425, 427, 428, 429, 431, 432, 434, 435, 437, 438, 439, 440, 444, 511], "librispeech": [7, 265], "960h": [7, 265], "libri": [7, 265], "light": [7, 99, 120, 125, 208, 261, 265, 357, 379, 385, 468, 529, 531], "60": [7, 99, 154, 164, 168, 176, 265, 357, 414, 423, 428, 436], "000h": [7, 265], "benchmark": [7, 9, 73, 80, 91, 95, 98, 99, 101, 103, 106, 118, 119, 163, 165, 167, 168, 171, 172, 174, 175, 178, 179, 258, 265, 268, 332, 339, 349, 353, 356, 357, 359, 361, 365, 377, 378, 422, 424, 427, 428, 431, 432, 434, 435, 438, 439, 519], "10min": [7, 265], "1h": [7, 265], "10h": [7, 265], "100h": [7, 265], "fine": [7, 9, 63, 93, 94, 99, 101, 102, 106, 107, 143, 163, 167, 168, 171, 174, 175, 179, 256, 265, 268, 322, 351, 352, 357, 359, 360, 365, 366, 403, 422, 427, 428, 431, 434, 435, 439, 517], "tune": [7, 9, 63, 73, 81, 93, 94, 99, 101, 102, 106, 107, 143, 163, 167, 168, 171, 174, 175, 179, 265, 268, 322, 332, 340, 351, 352, 357, 359, 360, 365, 366, 403, 422, 427, 428, 431, 434, 435, 439], "subset": [7, 172, 265, 432], "1b": [7, 265], "show": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 226, 236, 238, 241, 245, 246, 249, 250, 252, 253, 254, 255, 256, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 466, 469, 470, 472, 473, 486, 497, 499, 502, 506, 507, 510, 511, 512, 513, 515, 516, 517, 522, 525, 526, 527, 531], "19": [7, 82, 95, 101, 109, 135, 254, 256, 265, 341, 353, 359, 368, 395, 515, 517], "13": [7, 10, 11, 63, 118, 119, 123, 152, 174, 178, 202, 256, 265, 269, 270, 322, 377, 378, 382, 412, 434, 438, 461, 517], "rel": [7, 96, 98, 118, 131, 132, 139, 165, 172, 183, 265, 354, 356, 377, 390, 392, 399, 424, 432, 442, 525], "wer": [7, 265], "reduct": [7, 91, 184, 265, 349, 444], "dev": [7, 78, 91, 103, 115, 265, 337, 349, 361, 374], "other": [7, 10, 44, 67, 79, 88, 96, 108, 109, 112, 113, 114, 115, 123, 125, 144, 157, 163, 166, 169, 178, 179, 183, 190, 191, 201, 202, 260, 265, 269, 303, 325, 338, 347, 354, 367, 368, 371, 372, 373, 374, 382, 385, 404, 417, 422, 425, 429, 438, 439, 442, 449, 451, 460, 461, 526], "test": [7, 28, 44, 50, 66, 67, 70, 71, 73, 76, 77, 78, 79, 80, 84, 85, 93, 94, 115, 117, 128, 130, 133, 134, 139, 140, 141, 150, 152, 162, 166, 167, 174, 175, 184, 185, 190, 196, 236, 252, 253, 254, 255, 256, 265, 286, 303, 309, 324, 325, 329, 330, 332, 335, 336, 337, 338, 339, 342, 344, 348, 351, 352, 374, 376, 388, 389, 393, 394, 399, 400, 401, 409, 412, 421, 425, 427, 434, 435, 444, 445, 449, 456, 497, 512, 513, 515, 516, 517, 526, 532], "evalu": [7, 28, 44, 50, 96, 101, 104, 105, 106, 114, 118, 119, 150, 163, 164, 167, 169, 171, 172, 173, 174, 178, 217, 234, 236, 237, 265, 286, 303, 309, 354, 359, 363, 364, 365, 373, 377, 378, 409, 422, 423, 427, 429, 431, 432, 433, 434, 438, 476, 494, 497], "batchsiz": [7, 8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 136, 140, 148, 149, 163, 170, 182, 183, 214, 221, 265, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 400, 408, 422, 430, 442, 481], "size": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 123, 125, 140, 149, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 214, 221, 236, 237, 238, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 345, 346, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 375, 376, 377, 378, 379, 382, 385, 400, 408, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 481, 497, 498, 525, 530, 531], "batch": [7, 8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 140, 149, 160, 161, 162, 163, 170, 183, 221, 265, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 349, 350, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 400, 408, 419, 420, 421, 422, 430, 442, 481], "refer": [7, 9, 63, 67, 69, 72, 73, 74, 75, 76, 78, 80, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 113, 114, 115, 116, 118, 119, 120, 125, 143, 146, 147, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 196, 199, 200, 209, 221, 224, 236, 260, 261, 265, 268, 318, 322, 325, 327, 331, 332, 333, 334, 335, 337, 339, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 368, 369, 370, 372, 373, 374, 375, 377, 378, 379, 385, 403, 406, 407, 414, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 456, 458, 459, 469, 481, 484, 497, 526, 528, 529], "ml": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 203, 207, 208, 209, 211, 212, 213, 234, 245, 246, 249, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 462, 466, 468, 469, 471, 472, 473, 494, 506, 507, 510, 522, 526, 530], "audio_cont": [7, 8, 9, 198, 265, 267, 268, 457], "setstag": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 201, 203, 212, 213, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 460, 462, 472, 473, 526, 527], "processedaudiofloat": [7, 8, 9, 265, 267, 268], "createdatafram": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 82, 84, 85, 87, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 209, 210, 212, 213, 226, 234, 238, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 322, 341, 342, 344, 346, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 459, 460, 461, 462, 469, 470, 472, 473, 486, 494, 499, 522, 525, 526, 527, 531], "rawfloat": [7, 8, 9, 265, 267, 268], "todf": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 207, 209, 210, 212, 213, 226, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 322, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 402, 403, 404, 406, 407, 412, 414, 415, 417, 418, 419, 420, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 459, 460, 461, 466, 469, 470, 472, 473, 486, 525, 526, 527, 531], "fit": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 201, 203, 208, 211, 212, 213, 227, 232, 234, 238, 245, 246, 249, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 399, 400, 401, 402, 403, 404, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 458, 460, 462, 468, 471, 472, 473, 493, 494, 499, 506, 507, 510, 522, 526, 527, 530], "select": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 82, 92, 97, 99, 102, 117, 123, 125, 127, 139, 140, 143, 146, 147, 158, 160, 161, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 191, 196, 198, 200, 202, 203, 204, 207, 209, 210, 212, 213, 226, 234, 249, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 341, 350, 355, 357, 360, 376, 382, 385, 387, 399, 400, 403, 406, 407, 418, 419, 420, 422, 423, 424, 425, 427, 428, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 451, 456, 457, 459, 461, 462, 463, 466, 469, 470, 472, 473, 486, 494, 510, 522, 527], "truncat": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 66, 67, 69, 70, 71, 73, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 92, 102, 117, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 202, 203, 204, 209, 210, 212, 213, 226, 250, 254, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 324, 325, 327, 329, 330, 332, 336, 337, 338, 339, 341, 342, 344, 345, 346, 347, 350, 360, 376, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 398, 399, 400, 402, 403, 404, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 449, 451, 452, 453, 454, 456, 458, 459, 461, 462, 463, 469, 470, 472, 473, 486, 511, 515, 525, 526, 527], "mister": [7, 8, 265, 267], "quilter": [7, 8, 9, 265, 267, 268], "THE": [7, 8, 87, 265, 267, 346], "apostl": [7, 8, 9, 265, 267, 268], "OF": [7, 8, 91, 265, 267, 349], "midl": [7, 8, 265, 267], "clase": [7, 8, 265, 267], "AND": [7, 8, 265, 267], "glad": [7, 8, 9, 265, 267, 268], "TO": [7, 8, 252, 265, 267, 512, 532], "welcom": [7, 8, 9, 261, 265, 267, 268], "hi": [7, 8, 9, 88, 143, 155, 265, 267, 268, 347, 403, 415], "gospel": [7, 8, 9, 265, 267, 268], "parent": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 221, 224, 237, 238, 245, 246, 247, 249, 342, 344], "undefin": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 221, 224, 237, 238, 245, 246, 247, 249], "doc": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 221, 224, 236, 237, 238, 243, 245, 246, 247, 249, 250, 255, 406, 407, 442, 497, 498, 499, 507, 511, 516, 532], "configproto": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 387, 400, 408, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442], "tensorflow": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 125, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 385, 387, 400, 408, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442], "get": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 125, 127, 137, 140, 141, 149, 152, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 188, 193, 196, 198, 200, 201, 202, 203, 207, 208, 209, 217, 221, 224, 231, 237, 261, 268, 286, 303, 350, 385, 397, 401, 412, 420, 440, 442, 448, 453, 456, 457, 459, 460, 461, 462, 466, 468, 469, 476, 481, 484, 492, 498, 522, 526, 531, 532], "config_proto": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183], "serializetostr": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183], "folder": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 140, 141, 150, 155, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 185, 188, 241, 252, 258, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 400, 401, 409, 415, 420, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 445, 448, 502, 512, 519], "spark_sess": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 349, 350, 351, 352, 353, 354, 356, 357, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 377, 378, 379, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439], "restor": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456], "lang": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 240, 241, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 501, 502, 526, 531], "en": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 120, 122, 123, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 240, 241, 253, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 379, 380, 382, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 501, 502, 513, 526, 531, 532], "remote_loc": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 240, 241, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 501, 502], "remot": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 237, 240, 241, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 498, 501, 502], "address": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 319, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 345, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456], "resourc": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 150, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 190, 193, 196, 211, 222, 225, 237, 239, 241, 252, 253, 254, 255, 256, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 387, 388, 389, 393, 394, 399, 400, 401, 403, 404, 409, 412, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 449, 453, 456, 471, 482, 485, 498, 500, 502, 512, 513, 515, 516, 517, 526, 532], "Will": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 389, 394, 399, 400, 403, 412, 414, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456], "repositori": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 240, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 501, 523], "otherwis": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 199, 221, 234, 237, 265, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 344, 349, 350, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 387, 388, 389, 394, 399, 400, 403, 412, 415, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 447, 453, 456, 458, 481, 494, 498], "b": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 127, 130, 134, 138, 139, 140, 142, 143, 149, 154, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 196, 208, 226, 240, 252, 255, 265, 267, 268, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 322, 325, 327, 330, 331, 332, 334, 335, 336, 337, 338, 339, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 368, 369, 370, 374, 377, 378, 379, 387, 389, 394, 398, 399, 400, 402, 403, 408, 414, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 456, 468, 486, 501, 512, 516, 532], "wav2vec2": [8, 267], "framework": [8, 71, 163, 170, 173, 179, 260, 267, 318, 330, 348, 422, 430, 433, 439], "alexei": [8, 267], "baevski": [8, 267], "henri": [8, 267], "zhou": [8, 267], "michael": [8, 190, 267, 449], "auli": [8, 267], "asr_wav2vec2_base_960h": [8, 267], "wav2vec2forctctestspec": [8, 267], "whisper": [9, 268], "automat": [9, 123, 125, 141, 143, 160, 170, 184, 236, 249, 268, 318, 348, 382, 385, 401, 403, 419, 430, 444, 497, 510, 525, 526], "recognit": [9, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 67, 73, 80, 96, 136, 139, 140, 143, 258, 268, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 325, 332, 339, 354, 396, 399, 400, 403, 519], "asr": [9, 268], "system": [9, 76, 92, 125, 160, 161, 162, 163, 166, 168, 169, 172, 176, 210, 221, 268, 335, 350, 385, 419, 420, 421, 422, 425, 428, 429, 432, 436, 470, 481], "680": [9, 268], "000": [9, 51, 125, 166, 172, 196, 212, 268, 310, 385, 425, 432, 456, 472], "hour": [9, 88, 131, 132, 268, 347, 390, 392], "multilingu": [9, 69, 70, 118, 119, 164, 169, 172, 177, 196, 268, 327, 329, 377, 378, 423, 429, 432, 437, 456], "multitask": [9, 104, 166, 268, 363, 425], "collect": [9, 73, 114, 125, 167, 174, 234, 268, 332, 373, 385, 427, 434, 494, 522], "web": [9, 63, 87, 96, 113, 166, 175, 234, 268, 322, 346, 354, 372, 425, 435, 494, 522], "It": [9, 15, 17, 18, 21, 23, 27, 28, 30, 32, 34, 36, 39, 44, 47, 49, 50, 51, 54, 56, 57, 66, 67, 69, 71, 78, 79, 81, 86, 87, 93, 94, 96, 98, 99, 100, 102, 105, 110, 111, 116, 118, 119, 122, 125, 135, 141, 158, 161, 162, 163, 165, 170, 174, 177, 181, 183, 184, 185, 191, 202, 203, 208, 238, 241, 246, 247, 249, 260, 268, 273, 275, 276, 279, 281, 285, 286, 288, 290, 292, 294, 298, 303, 306, 308, 309, 310, 313, 315, 316, 318, 324, 325, 327, 330, 337, 338, 340, 345, 346, 348, 351, 352, 354, 356, 357, 358, 360, 364, 369, 370, 375, 377, 378, 380, 385, 395, 401, 418, 420, 421, 422, 424, 430, 434, 437, 440, 442, 444, 445, 451, 461, 462, 468, 499, 502, 507, 508, 510, 525, 530], "well": [9, 65, 70, 72, 75, 77, 80, 84, 85, 86, 101, 115, 118, 119, 125, 146, 163, 164, 177, 178, 212, 268, 323, 329, 331, 334, 336, 339, 342, 344, 345, 359, 374, 377, 378, 385, 406, 422, 423, 437, 438, 472], "translat": [9, 131, 163, 166, 169, 170, 172, 179, 196, 258, 268, 318, 422, 425, 429, 430, 432, 439, 456], "those": [9, 96, 123, 142, 177, 268, 354, 382, 402, 437, 526, 527], "english": [9, 50, 95, 96, 109, 125, 169, 171, 172, 184, 187, 196, 241, 268, 309, 353, 354, 368, 385, 429, 431, 432, 444, 447, 456, 502], "moment": [9, 162, 210, 268, 421, 470], "greedi": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "search": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 95, 113, 131, 161, 163, 164, 168, 169, 172, 176, 181, 184, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 353, 372, 390, 420, 422, 423, 428, 429, 432, 436, 440, 444, 481], "task": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 67, 68, 71, 77, 78, 80, 91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 109, 114, 115, 118, 119, 120, 125, 143, 159, 161, 163, 165, 166, 170, 171, 172, 176, 177, 178, 179, 211, 214, 221, 258, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 325, 326, 330, 336, 337, 339, 349, 351, 352, 353, 354, 356, 357, 359, 363, 364, 365, 366, 368, 373, 374, 377, 378, 379, 385, 403, 420, 422, 424, 425, 430, 431, 432, 436, 437, 438, 439, 471, 481, 519], "asr_whisper_tiny_opt": [9, 268], "whisperforctctestspec": [9, 268], "robust": [9, 104, 175, 249, 268, 363, 435, 510], "larg": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 67, 68, 69, 70, 72, 73, 74, 75, 76, 78, 79, 80, 86, 88, 91, 92, 98, 99, 101, 103, 106, 107, 113, 114, 118, 119, 120, 125, 127, 130, 134, 140, 160, 162, 163, 164, 165, 166, 167, 168, 169, 174, 177, 178, 185, 210, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 323, 325, 326, 327, 329, 331, 332, 333, 334, 335, 337, 338, 339, 345, 347, 349, 350, 356, 357, 359, 361, 365, 366, 372, 373, 377, 378, 379, 385, 387, 389, 394, 400, 419, 421, 422, 423, 424, 425, 427, 428, 429, 434, 437, 438, 470], "scale": [9, 67, 78, 79, 80, 91, 92, 99, 101, 105, 107, 118, 119, 160, 161, 162, 163, 165, 166, 167, 168, 169, 172, 174, 175, 179, 203, 221, 268, 325, 337, 338, 339, 349, 350, 357, 359, 364, 366, 377, 378, 419, 420, 421, 422, 424, 425, 427, 428, 429, 432, 434, 435, 439, 462, 481], "weak": [9, 101, 268, 359], "studi": [9, 88, 99, 110, 111, 163, 173, 179, 268, 347, 357, 369, 370, 422, 433, 439], "capabl": [9, 66, 69, 70, 78, 99, 120, 164, 166, 168, 171, 175, 177, 203, 249, 268, 324, 327, 329, 337, 357, 379, 423, 425, 428, 431, 435, 437, 462, 510], "simpli": [9, 87, 104, 268, 346, 363, 527], "amount": [9, 80, 115, 125, 134, 160, 161, 162, 166, 177, 196, 208, 221, 268, 339, 374, 385, 394, 419, 420, 421, 425, 437, 456, 468, 481, 530], "transcript": [9, 268], "internet": [9, 268], "when": [9, 10, 11, 15, 18, 21, 23, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 67, 78, 79, 80, 81, 86, 87, 91, 92, 101, 123, 131, 132, 135, 140, 146, 160, 161, 162, 163, 166, 169, 174, 175, 177, 179, 183, 184, 187, 191, 196, 208, 210, 221, 236, 237, 238, 249, 252, 268, 269, 270, 273, 276, 279, 281, 288, 290, 292, 294, 298, 306, 308, 313, 315, 316, 325, 337, 338, 339, 340, 345, 346, 348, 349, 350, 359, 382, 390, 392, 395, 400, 406, 419, 420, 421, 422, 425, 429, 434, 435, 437, 439, 442, 444, 447, 451, 456, 468, 470, 481, 497, 498, 510, 512, 526, 527, 530], "gener": [9, 28, 44, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 91, 92, 95, 97, 99, 101, 104, 105, 106, 109, 112, 114, 120, 123, 125, 139, 140, 143, 146, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 188, 202, 204, 210, 221, 234, 236, 237, 238, 258, 268, 286, 303, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 349, 350, 353, 355, 357, 359, 363, 364, 365, 368, 371, 373, 379, 382, 385, 399, 400, 403, 406, 415, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 461, 463, 470, 481, 494, 497, 498, 519, 522, 525, 526, 527], "standard": [9, 67, 73, 78, 79, 80, 87, 105, 131, 132, 163, 184, 185, 193, 221, 268, 325, 332, 337, 338, 339, 346, 364, 390, 392, 422, 444, 445, 453, 481], "often": [9, 91, 102, 110, 111, 120, 268, 349, 360, 369, 370, 379], "competit": [9, 118, 119, 125, 169, 177, 268, 377, 378, 385, 429, 437], "prior": [9, 67, 95, 99, 104, 105, 146, 173, 183, 250, 268, 325, 353, 357, 363, 364, 406, 433, 442, 511], "fulli": [9, 109, 240, 268, 368, 501], "zero": [9, 66, 101, 117, 143, 166, 268, 324, 359, 376, 403, 425], "shot": [9, 66, 101, 143, 166, 268, 324, 359, 403, 425], "transfer": [9, 80, 99, 101, 115, 118, 119, 163, 166, 179, 268, 339, 357, 359, 374, 377, 378, 422, 425, 439], "without": [9, 66, 77, 93, 94, 101, 102, 104, 118, 119, 125, 162, 166, 171, 196, 249, 250, 268, 324, 336, 351, 352, 359, 360, 363, 377, 378, 385, 421, 425, 431, 456, 510, 511], "ani": [9, 17, 18, 23, 27, 32, 36, 49, 56, 66, 81, 95, 100, 101, 104, 115, 116, 122, 125, 140, 141, 166, 169, 179, 183, 201, 202, 221, 241, 258, 268, 275, 276, 281, 285, 290, 294, 308, 315, 324, 340, 348, 353, 358, 359, 363, 374, 375, 380, 385, 400, 401, 425, 429, 439, 442, 460, 461, 481, 502, 519, 523, 526, 527, 532], "compar": [9, 78, 80, 91, 98, 99, 103, 104, 106, 107, 120, 125, 155, 163, 165, 167, 177, 178, 179, 183, 234, 268, 337, 339, 349, 356, 357, 361, 363, 365, 366, 379, 385, 415, 422, 424, 427, 437, 438, 439, 442, 494, 522], "human": [9, 98, 125, 165, 167, 168, 171, 172, 174, 177, 268, 356, 385, 424, 427, 428, 431, 432, 434, 437], "accuraci": [9, 67, 78, 84, 85, 93, 94, 100, 113, 115, 116, 118, 119, 139, 140, 152, 171, 184, 196, 268, 325, 337, 342, 344, 351, 352, 358, 372, 374, 375, 377, 378, 399, 400, 412, 431, 444, 456, 522], "infer": [9, 17, 18, 23, 27, 32, 36, 49, 56, 66, 68, 77, 92, 93, 94, 96, 99, 120, 160, 161, 162, 165, 167, 171, 173, 207, 237, 268, 275, 276, 281, 285, 290, 294, 308, 315, 324, 326, 336, 350, 351, 352, 354, 357, 379, 419, 420, 421, 424, 427, 431, 433, 466, 498], "code": [9, 63, 66, 98, 100, 104, 105, 109, 110, 111, 116, 118, 119, 125, 127, 163, 165, 171, 173, 175, 176, 177, 178, 179, 250, 268, 322, 324, 348, 356, 358, 363, 364, 368, 369, 370, 375, 377, 378, 385, 387, 422, 424, 431, 433, 435, 436, 437, 438, 439, 511, 523, 531], "serv": [9, 78, 268, 337, 523], "foundat": [9, 167, 168, 268, 427, 428], "further": [9, 10, 91, 104, 106, 113, 125, 139, 140, 146, 175, 213, 268, 269, 349, 363, 365, 372, 385, 399, 400, 406, 435, 473], "work": [9, 67, 99, 104, 105, 114, 127, 146, 160, 163, 167, 169, 170, 174, 177, 179, 190, 221, 238, 249, 260, 268, 318, 325, 357, 363, 364, 373, 387, 406, 419, 422, 427, 429, 430, 434, 437, 439, 449, 481, 499, 510, 525, 527, 531], "e": [9, 11, 13, 15, 16, 19, 21, 22, 25, 26, 30, 31, 34, 35, 37, 39, 40, 42, 43, 45, 47, 48, 54, 55, 57, 58, 67, 81, 85, 87, 101, 103, 104, 105, 106, 107, 122, 123, 139, 140, 163, 166, 170, 175, 179, 181, 183, 187, 212, 221, 234, 236, 237, 238, 245, 259, 268, 270, 271, 273, 274, 277, 279, 280, 283, 284, 288, 289, 292, 293, 295, 298, 299, 301, 302, 304, 306, 307, 313, 314, 316, 317, 318, 325, 340, 344, 346, 359, 361, 363, 364, 365, 366, 380, 382, 399, 400, 422, 425, 430, 435, 439, 440, 442, 447, 472, 481, 494, 497, 498, 499, 520, 522], "g": [9, 11, 13, 15, 16, 19, 21, 22, 25, 26, 30, 31, 34, 35, 37, 39, 40, 42, 43, 45, 47, 48, 54, 55, 57, 58, 67, 81, 85, 87, 101, 103, 104, 106, 107, 123, 139, 140, 163, 166, 170, 175, 179, 183, 187, 212, 221, 234, 237, 238, 245, 259, 268, 270, 271, 273, 274, 277, 279, 280, 283, 284, 288, 289, 292, 293, 295, 298, 299, 301, 302, 304, 306, 307, 313, 314, 316, 317, 318, 325, 340, 344, 346, 359, 361, 363, 365, 366, 382, 399, 400, 422, 425, 430, 435, 439, 442, 447, 472, 481, 494, 498, 499, 520, 522], "check": [9, 71, 73, 77, 95, 101, 109, 140, 141, 154, 182, 183, 184, 185, 208, 213, 240, 258, 268, 330, 332, 336, 353, 359, 368, 400, 401, 414, 442, 443, 444, 445, 468, 473, 501, 519, 526, 531], "descript": [9, 85, 104, 112, 125, 131, 167, 174, 184, 191, 220, 222, 258, 268, 344, 363, 371, 385, 390, 427, 434, 444, 451, 480, 482, 519], "minoutputlength": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "minimum": [9, 44, 50, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 100, 116, 123, 125, 127, 137, 139, 140, 144, 154, 155, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 185, 192, 193, 203, 221, 237, 238, 252, 268, 303, 309, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 358, 375, 382, 385, 387, 397, 399, 400, 404, 414, 415, 422, 423, 424, 425, 427, 428, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 444, 445, 452, 453, 462, 481, 498, 512], "sequenc": [9, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 92, 105, 108, 113, 114, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 187, 210, 221, 268, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 318, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 350, 364, 367, 372, 373, 406, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 447, 470, 481], "maxoutputlength": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 318, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "maximum": [9, 28, 44, 50, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 100, 116, 123, 125, 137, 139, 140, 144, 146, 149, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 192, 193, 203, 221, 237, 268, 286, 303, 309, 318, 322, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 348, 358, 375, 382, 385, 397, 399, 400, 404, 406, 408, 414, 415, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 452, 453, 462, 481], "dosampl": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "sampl": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 106, 113, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 250, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 365, 372, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481, 511], "decod": [9, 60, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 92, 98, 105, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 318, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 350, 356, 364, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "temperatur": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 145, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "next": [9, 42, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 110, 111, 125, 131, 132, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 301, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 369, 370, 385, 390, 392, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "probabl": [9, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 125, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 184, 221, 268, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 385, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 444, 481], "topk": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 197, 203, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 462, 481], "highest": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 406, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 444, 481], "vocabulari": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 100, 116, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 358, 375, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 481], "keep": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 86, 92, 125, 144, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 237, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 339, 345, 350, 385, 404, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481, 498], "filter": [9, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 118, 119, 125, 138, 139, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 187, 203, 221, 226, 241, 268, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 377, 378, 385, 398, 399, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 447, 462, 481, 486, 502], "topp": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 145, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 406, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "most": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 86, 88, 96, 99, 105, 107, 125, 140, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 318, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 345, 347, 354, 357, 364, 366, 385, 400, 406, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "add": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 131, 132, 154, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 193, 203, 210, 221, 258, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 376, 390, 392, 414, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 453, 462, 470, 481, 519, 526], "top_p": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 338, 406], "higher": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 125, 146, 158, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 376, 385, 406, 418, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "kept": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "repetitionpenalti": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "repetit": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "penalti": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "norepeatngrams": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "ngram": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 97, 135, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 355, 395, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "occur": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "onc": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 210, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 470, 481], "beamsiz": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 168, 169, 172, 176, 214, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 428, 429, 432, 436, 481], "beam": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 168, 169, 172, 176, 221, 268, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 428, 429, 432, 436, 481], "mr": [9, 268], "middl": [9, 191, 196, 268, 451, 456], "langaug": [9, 240, 268, 501], "xx": [9, 23, 56, 118, 119, 127, 165, 169, 170, 172, 268, 281, 315, 318, 377, 378, 387, 424, 429, 430, 432], "do": [9, 10, 88, 115, 125, 138, 164, 187, 193, 208, 210, 268, 269, 347, 374, 385, 398, 423, 447, 453, 468, 470, 522, 526, 530], "convert": [10, 60, 79, 82, 87, 97, 107, 112, 117, 131, 132, 135, 138, 144, 146, 163, 179, 192, 194, 196, 199, 202, 204, 234, 237, 245, 269, 318, 338, 341, 346, 355, 366, 371, 376, 390, 392, 395, 398, 404, 406, 422, 439, 452, 454, 456, 458, 461, 463, 494, 522, 529], "back": [10, 88, 141, 146, 163, 269, 347, 401, 406, 422], "try": [10, 183, 252, 269, 442, 512], "re": [10, 95, 101, 109, 210, 269, 353, 359, 368, 470, 526], "analysi": [10, 28, 44, 50, 103, 104, 120, 156, 157, 179, 219, 236, 258, 269, 286, 303, 309, 361, 363, 379, 416, 417, 439, 478, 497, 519, 527], "york": [10, 143, 202, 269, 403, 461], "jersei": [10, 202, 269, 461], "aren": [10, 202, 269, 461], "t": [10, 17, 18, 23, 27, 32, 36, 49, 56, 88, 92, 99, 110, 128, 144, 155, 157, 160, 161, 162, 174, 193, 202, 210, 221, 269, 275, 276, 281, 285, 290, 294, 308, 315, 347, 350, 357, 369, 388, 404, 415, 417, 419, 420, 421, 434, 453, 461, 470, 481], "far": [10, 146, 166, 202, 269, 406, 425, 461], "apart": [10, 84, 85, 202, 269, 342, 344, 461], "actual": [10, 135, 202, 213, 269, 395, 461, 473], "id": [10, 44, 61, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 118, 122, 146, 147, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 199, 200, 202, 209, 213, 221, 234, 252, 269, 303, 319, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 346, 377, 380, 406, 407, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 458, 459, 461, 469, 473, 481, 494, 512], "defin": [10, 11, 138, 139, 140, 141, 183, 187, 191, 202, 210, 226, 234, 240, 245, 269, 270, 398, 399, 400, 401, 442, 447, 451, 461, 470, 486, 494, 501, 506, 522, 526, 530], "amongst": [10, 202, 269, 461], "thing": [10, 168, 183, 202, 269, 428, 442, 461], "explain_document_dl": [10, 202, 208, 226, 240, 269, 461, 468, 486, 501], "chunktodoc": [10, 269], "chunkconvert": [10, 269], "explainresult": [10, 202, 269, 461], "selectexpr": [10, 11, 28, 51, 63, 66, 67, 78, 79, 80, 84, 85, 86, 87, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 128, 130, 131, 132, 133, 134, 135, 138, 142, 143, 144, 152, 154, 155, 157, 162, 170, 186, 187, 190, 192, 193, 194, 199, 201, 202, 226, 252, 253, 254, 269, 270, 286, 310, 318, 322, 324, 325, 337, 338, 339, 342, 344, 345, 346, 347, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 388, 389, 390, 392, 393, 394, 395, 398, 402, 403, 404, 412, 414, 415, 417, 421, 430, 446, 447, 449, 452, 453, 454, 458, 460, 461, 486, 512, 513, 515, 525, 526, 531], "explod": [10, 11, 28, 51, 63, 84, 85, 86, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 130, 132, 133, 134, 135, 138, 142, 143, 152, 154, 155, 170, 194, 201, 202, 226, 237, 252, 254, 269, 270, 286, 310, 318, 322, 342, 344, 345, 347, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 385, 389, 392, 393, 394, 395, 398, 402, 403, 412, 414, 415, 430, 454, 460, 461, 486, 498, 512, 515, 525, 526, 531], "col": [10, 84, 85, 122, 130, 138, 142, 181, 199, 201, 202, 204, 209, 226, 250, 269, 342, 344, 380, 389, 398, 402, 461, 486, 511, 525], "7": [10, 50, 78, 93, 94, 98, 131, 132, 147, 152, 166, 167, 171, 174, 175, 202, 254, 256, 260, 269, 309, 337, 351, 352, 356, 390, 392, 407, 412, 425, 427, 431, 434, 435, 461, 515, 517, 525], "loc": [10, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 123, 138, 139, 140, 202, 208, 226, 240, 252, 269, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 382, 398, 399, 400, 461, 468, 486, 501, 512], "22": [10, 202, 252, 269, 461, 512, 525], "part": [11, 96, 125, 128, 151, 152, 160, 161, 162, 167, 186, 196, 199, 221, 237, 238, 254, 258, 270, 348, 354, 385, 388, 411, 412, 419, 420, 421, 427, 446, 456, 458, 481, 515, 532], "tag": [11, 28, 44, 50, 87, 96, 137, 138, 139, 140, 142, 151, 152, 196, 226, 234, 236, 237, 238, 250, 252, 254, 255, 258, 270, 286, 303, 309, 346, 354, 397, 398, 399, 400, 402, 411, 412, 456, 486, 494, 497, 498, 511, 512, 515, 516, 519, 532], "order": [11, 86, 104, 120, 122, 125, 131, 160, 161, 162, 163, 167, 174, 184, 185, 203, 208, 213, 221, 226, 249, 270, 345, 348, 363, 379, 380, 385, 390, 419, 420, 421, 422, 427, 434, 444, 445, 462, 468, 473, 481, 486, 510, 526, 527, 530, 532], "meaning": [11, 186, 270, 446], "phrase": [11, 96, 100, 116, 130, 134, 270, 354, 358, 375, 389, 394], "onto": [11, 226, 270, 486, 527], "pars": [11, 83, 84, 85, 96, 122, 128, 131, 132, 183, 184, 185, 208, 210, 212, 236, 237, 240, 246, 247, 250, 252, 254, 270, 342, 343, 344, 354, 380, 388, 390, 392, 442, 444, 445, 468, 470, 472, 497, 501, 507, 508, 511, 512, 515], "regular": [11, 86, 133, 139, 154, 270, 345, 393, 399, 414], "express": [11, 50, 63, 86, 131, 133, 154, 270, 309, 322, 345, 390, 393, 414], "wrap": [11, 270, 319, 440, 474, 475, 483, 489, 493, 509], "angl": [11, 114, 270, 373], "bracket": [11, 270], "easili": [11, 103, 152, 201, 270, 361, 412, 460, 522], "distinguish": [11, 270], "itself": [11, 125, 172, 179, 196, 211, 270, 348, 385, 432, 439, 456, 471, 527], "form": [11, 28, 44, 50, 117, 122, 128, 130, 131, 133, 134, 155, 157, 184, 185, 196, 201, 234, 252, 253, 270, 286, 303, 309, 376, 380, 388, 389, 390, 393, 394, 415, 417, 444, 445, 456, 460, 494, 512, 513, 526], "peter": [11, 105, 128, 144, 152, 155, 184, 186, 252, 270, 364, 388, 404, 412, 415, 444, 446, 512], "piper": [11, 128, 152, 186, 270, 388, 412, 446], "employe": [11, 128, 152, 186, 270, 388, 412, 446], "pick": [11, 128, 152, 186, 270, 388, 412, 446], "peck": [11, 128, 152, 186, 270, 388, 412, 446], "pickl": [11, 128, 152, 186, 270, 388, 412, 446], "pepper": [11, 128, 152, 186, 270, 388, 412, 446], "nnp": [11, 152, 208, 226, 252, 253, 254, 255, 270, 412, 468, 486, 512, 513, 515, 516, 525, 530, 531, 532], "nn": [11, 86, 152, 252, 253, 254, 255, 270, 345, 412, 512, 513, 515, 516, 532], "vbp": [11, 152, 208, 253, 270, 412, 468, 513, 525, 530, 531], "vbg": [11, 152, 270, 412], "IN": [11, 152, 208, 226, 253, 254, 255, 270, 412, 468, 486, 513, 515, 516, 525, 530, 531], "jj": [11, 152, 208, 226, 252, 254, 270, 412, 468, 486, 512, 515, 525, 530, 531, 532], "enclos": [11, 270], "treat": [11, 183, 196, 270, 442, 456], "group": [11, 92, 160, 161, 162, 167, 171, 177, 193, 236, 237, 270, 350, 419, 420, 421, 427, 431, 437, 453, 497], "so": [11, 17, 18, 23, 28, 36, 49, 50, 56, 88, 125, 138, 146, 155, 169, 210, 211, 234, 270, 275, 276, 281, 286, 294, 308, 309, 315, 347, 348, 385, 398, 406, 415, 429, 470, 471, 494, 522], "here": [11, 128, 210, 226, 270, 388, 470, 486, 526], "specif": [11, 51, 71, 84, 85, 87, 93, 94, 99, 114, 115, 123, 125, 140, 161, 163, 166, 168, 169, 172, 178, 181, 188, 208, 211, 234, 237, 238, 270, 310, 330, 342, 344, 346, 351, 352, 357, 373, 374, 382, 385, 400, 420, 422, 425, 428, 429, 432, 438, 448, 468, 471, 494, 498, 530], "noun": [11, 253, 270, 513], "success": [11, 96, 107, 166, 270, 354, 366, 425], "grammar": [11, 160, 161, 162, 214, 221, 270, 419, 420, 421, 481], "parser": [11, 84, 85, 123, 258, 270, 342, 344, 382, 383], "Of": [11, 91, 196, 270, 349, 456], "postag": [11, 270], "11": [11, 82, 118, 119, 131, 132, 135, 152, 245, 256, 270, 341, 377, 378, 390, 392, 395, 412, 506, 517], "21": [11, 131, 132, 142, 152, 256, 270, 390, 392, 402, 412, 517], "35": [11, 95, 152, 164, 256, 270, 353, 412, 423, 517], "39": [11, 142, 147, 152, 246, 254, 256, 270, 402, 407, 412, 507, 515, 517], "52": [11, 142, 152, 254, 270, 402, 412, 515], "58": [11, 78, 152, 270, 337, 412], "choicesdelimit": [12, 13, 19, 37, 45, 271, 277, 295, 304], "setchoicesdelimit": [12, 13, 19, 37, 45, 271, 277, 295, 304], "coalescesent": [12, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 126, 127, 272, 273, 275, 276, 278, 279, 281, 282, 283, 285, 287, 288, 290, 291, 292, 294, 297, 298, 301, 305, 306, 308, 312, 313, 315, 316, 387], "getclass": [12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 47, 48, 49, 54, 55, 56, 57, 58, 64, 67, 78, 80, 136, 143, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 306, 307, 308, 313, 314, 315, 316, 317, 325, 337, 339, 403], "setcoalescesent": [12, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 126, 127, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 387], "maxsentencelength": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 64, 65, 70, 71, 72, 73, 74, 75, 76, 77, 90, 91, 93, 94, 95, 96, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 214, 221, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 329, 330, 331, 332, 333, 334, 335, 336, 349, 351, 352, 353, 354, 356, 357, 358, 359, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 375, 377, 378, 379, 481], "setmaxsentencelength": [12, 18, 48, 49, 56, 90, 100, 116, 214, 221, 276, 307, 308, 315, 358, 375, 481], "dropout": [12, 28, 50, 136, 140, 286, 309, 400], "setdropout": [12, 28, 50, 136, 140, 286, 309, 400, 526], "setshuffleperepoch": [12, 44, 234, 303, 494, 522], "setthreshold": [12, 44, 50, 124, 125, 126, 127, 214, 221, 234, 235, 237, 303, 309, 385, 387, 481, 494, 498, 522], "setverbos": [12, 44, 136, 139, 140, 141, 148, 150, 303, 399, 400, 401, 409], "shuffleperepoch": [12, 44, 303], "threshold": [12, 44, 50, 92, 100, 116, 124, 125, 126, 127, 139, 143, 160, 161, 162, 183, 196, 203, 214, 221, 235, 236, 237, 238, 303, 309, 350, 358, 375, 385, 387, 399, 403, 419, 420, 421, 442, 456, 462, 481, 497, 498], "setthresholdlabel": [12, 50, 126, 127, 309, 387], "thresholdlabel": [12, 50, 126, 127, 309, 387], "classifi": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 66, 67, 78, 125, 201, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 324, 325, 337, 383, 385, 460, 526], "dl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 127, 140, 141, 143, 184, 185, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 387, 400, 401, 403, 444, 445], "albert": [13, 14, 15, 16, 91, 271, 272, 273, 274, 349], "choic": [13, 19, 37, 45, 110, 111, 133, 168, 171, 271, 277, 295, 304, 369, 370, 393, 428, 431], "linear": [13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 78, 92, 160, 161, 162, 166, 221, 271, 272, 273, 274, 277, 278, 279, 280, 282, 283, 284, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 311, 312, 313, 314, 316, 317, 337, 350, 419, 420, 421, 425, 481], "layer": [13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 91, 92, 93, 94, 98, 103, 106, 120, 160, 161, 162, 221, 271, 272, 273, 274, 277, 278, 279, 280, 282, 283, 284, 287, 288, 289, 291, 292, 293, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 311, 312, 313, 314, 316, 317, 349, 350, 351, 352, 356, 361, 365, 379, 419, 420, 421, 481], "pool": [13, 15, 19, 21, 25, 30, 34, 37, 39, 42, 45, 47, 54, 57, 92, 97, 103, 108, 112, 113, 114, 160, 161, 221, 271, 273, 277, 279, 283, 288, 292, 295, 298, 301, 304, 306, 313, 316, 350, 355, 361, 367, 371, 372, 373, 419, 420, 481], "softmax": [13, 15, 17, 18, 19, 21, 23, 25, 27, 32, 34, 36, 37, 39, 42, 45, 47, 49, 54, 56, 57, 98, 100, 116, 183, 221, 271, 273, 275, 276, 277, 279, 281, 283, 285, 290, 292, 294, 295, 298, 301, 304, 306, 308, 313, 315, 316, 356, 358, 375, 442, 481], "rocstori": [13, 19, 37, 45, 271, 277, 295, 304], "swag": [13, 19, 37, 45, 271, 277, 295, 304], "spanclassifi": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 52, 53, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 311, 312], "document_quest": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 310, 311, 312], "document_context": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 52, 53, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 311, 312], "answer": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 84, 85, 86, 93, 94, 103, 120, 143, 163, 164, 166, 171, 179, 208, 210, 258, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 310, 311, 312, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 342, 344, 345, 351, 352, 361, 379, 403, 422, 423, 425, 431, 439, 468, 470], "albert_base_uncased_multiple_choic": [13, 271], "allow": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81, 103, 109, 115, 139, 140, 144, 154, 155, 163, 178, 192, 193, 211, 220, 238, 246, 247, 249, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 340, 361, 368, 374, 399, 400, 404, 414, 415, 422, 438, 452, 453, 471, 480, 499, 507, 508, 510], "faster": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 92, 99, 103, 106, 160, 161, 162, 171, 184, 185, 221, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 350, 357, 361, 365, 419, 420, 421, 431, 444, 445, 481], "requir": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 82, 84, 85, 91, 94, 95, 98, 101, 103, 109, 115, 118, 119, 125, 140, 141, 144, 158, 161, 183, 194, 196, 199, 201, 207, 213, 258, 261, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 341, 342, 344, 348, 349, 352, 353, 356, 359, 361, 368, 374, 377, 378, 385, 400, 401, 404, 418, 420, 442, 454, 456, 458, 460, 466, 473, 519, 525, 526, 527], "8": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 60, 67, 84, 85, 86, 87, 88, 91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 131, 135, 140, 142, 146, 147, 150, 166, 175, 183, 194, 196, 252, 256, 260, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 325, 342, 344, 345, 346, 347, 349, 351, 352, 353, 354, 356, 357, 359, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 390, 395, 400, 402, 406, 407, 409, 425, 435, 442, 454, 456, 512, 517], "ignor": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 60, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 130, 135, 138, 143, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 187, 208, 221, 237, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 310, 311, 312, 313, 314, 315, 316, 317, 318, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 389, 395, 398, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 444, 447, 468, 481, 498], "case": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 85, 86, 87, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 122, 127, 130, 134, 141, 144, 164, 167, 174, 183, 184, 187, 193, 199, 221, 252, 253, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 344, 345, 346, 348, 349, 351, 352, 353, 354, 356, 357, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 380, 387, 389, 394, 401, 423, 427, 434, 442, 444, 447, 453, 458, 481, 512, 513, 526], "512": [13, 15, 17, 18, 19, 21, 23, 25, 27, 30, 32, 34, 36, 37, 39, 42, 45, 47, 49, 51, 54, 56, 57, 88, 95, 101, 103, 106, 107, 108, 109, 113, 114, 170, 221, 271, 273, 275, 276, 277, 279, 281, 283, 285, 288, 290, 292, 294, 295, 298, 301, 304, 306, 308, 310, 313, 315, 316, 318, 347, 353, 359, 361, 365, 366, 367, 368, 372, 373, 430, 481], "question": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 84, 85, 93, 94, 103, 110, 111, 120, 143, 152, 163, 164, 166, 171, 179, 208, 258, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 310, 311, 312, 323, 327, 329, 330, 331, 332, 333, 334, 335, 336, 342, 344, 351, 352, 361, 369, 370, 379, 403, 412, 422, 423, 425, 431, 439, 468], "context": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 52, 53, 69, 70, 92, 93, 94, 100, 103, 109, 116, 120, 146, 158, 160, 161, 162, 167, 175, 177, 183, 193, 221, 237, 271, 272, 277, 278, 282, 287, 291, 295, 297, 300, 304, 305, 311, 312, 327, 329, 350, 351, 352, 358, 361, 368, 375, 379, 406, 418, 419, 420, 421, 427, 435, 437, 442, 453, 481], "questionansw": [13, 19, 20, 37, 45, 271, 277, 278, 295, 304], "eiffel": [13, 19, 37, 45, 271, 277, 295, 304], "tower": [13, 19, 37, 45, 271, 277, 295, 304], "countri": [13, 19, 37, 45, 183, 271, 277, 295, 304, 442], "germani": [13, 19, 37, 45, 271, 277, 295, 304], "franc": [13, 19, 27, 37, 45, 170, 271, 277, 285, 295, 304, 318, 430], "itali": [13, 19, 37, 45, 271, 277, 295, 304], "split": [13, 19, 37, 45, 66, 67, 77, 78, 79, 80, 86, 88, 92, 154, 155, 160, 161, 162, 170, 190, 191, 192, 196, 221, 237, 245, 271, 277, 295, 304, 318, 324, 325, 336, 337, 338, 339, 345, 347, 350, 414, 415, 419, 420, 421, 430, 449, 451, 452, 456, 481, 498, 506], "bert_base_uncased_multiple_choic": [13, 19, 37, 271, 277, 295], "span": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 163, 178, 179, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 422, 438, 439], "squad": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 91, 93, 94, 98, 107, 110, 111, 163, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 349, 351, 352, 356, 366, 369, 370, 422], "comput": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 67, 78, 80, 81, 91, 98, 99, 104, 115, 141, 166, 170, 171, 172, 181, 185, 196, 208, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 318, 325, 337, 339, 340, 349, 356, 357, 363, 374, 401, 425, 430, 431, 432, 440, 445, 456, 468, 530], "logit": [14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 32, 33, 34, 36, 38, 39, 41, 42, 46, 47, 49, 52, 53, 54, 56, 57, 146, 160, 161, 162, 221, 272, 273, 275, 276, 278, 279, 281, 282, 283, 285, 287, 290, 291, 292, 294, 297, 298, 300, 301, 305, 306, 308, 311, 312, 313, 315, 316, 406, 419, 420, 421, 481], "albert_base_qa_squad2": [14, 272], "128": [14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 38, 40, 41, 42, 43, 44, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 91, 93, 94, 96, 98, 99, 104, 110, 111, 118, 119, 120, 234, 272, 273, 274, 275, 276, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 297, 299, 300, 301, 302, 303, 305, 306, 307, 308, 311, 312, 313, 314, 315, 316, 317, 349, 351, 352, 354, 356, 357, 363, 369, 370, 377, 378, 379, 494, 522], "what": [14, 20, 24, 29, 33, 38, 41, 46, 50, 52, 53, 65, 67, 72, 73, 84, 85, 125, 127, 143, 146, 170, 172, 176, 183, 191, 253, 272, 278, 282, 287, 291, 297, 300, 305, 309, 311, 312, 318, 323, 325, 331, 332, 342, 344, 385, 387, 403, 406, 430, 432, 436, 442, 451, 513, 523], "": [14, 17, 18, 20, 23, 24, 27, 29, 32, 33, 36, 38, 41, 46, 49, 52, 53, 56, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 88, 91, 95, 96, 98, 99, 100, 101, 105, 109, 110, 111, 115, 116, 118, 119, 122, 125, 133, 140, 144, 146, 158, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 191, 192, 193, 196, 198, 202, 208, 210, 221, 226, 232, 234, 250, 260, 261, 272, 275, 276, 278, 281, 282, 285, 287, 290, 291, 294, 297, 300, 305, 308, 311, 312, 315, 318, 319, 323, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 345, 346, 347, 348, 349, 353, 354, 356, 357, 358, 359, 364, 368, 369, 370, 375, 377, 378, 380, 385, 393, 400, 404, 406, 418, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 451, 452, 453, 456, 457, 461, 468, 470, 474, 475, 481, 483, 486, 489, 493, 494, 509, 511, 522, 525, 526, 527, 530], "my": [14, 16, 17, 20, 22, 24, 28, 29, 31, 33, 35, 38, 40, 41, 42, 43, 46, 48, 50, 52, 53, 55, 58, 86, 87, 88, 133, 135, 143, 146, 154, 165, 166, 167, 171, 173, 174, 175, 177, 187, 190, 192, 210, 272, 274, 275, 278, 280, 282, 286, 287, 289, 291, 293, 297, 299, 300, 301, 302, 305, 307, 309, 311, 312, 314, 317, 345, 346, 347, 393, 395, 403, 406, 414, 424, 425, 427, 431, 433, 434, 435, 437, 447, 449, 452, 470, 526], "clara": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 143, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 403], "live": [14, 16, 20, 22, 24, 29, 31, 33, 35, 38, 40, 41, 43, 46, 48, 52, 53, 55, 58, 143, 166, 167, 234, 272, 274, 278, 280, 282, 287, 289, 291, 293, 297, 299, 300, 302, 305, 307, 311, 312, 314, 317, 403, 425, 427, 494, 522], "berkelei": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 173, 174, 175, 177, 272, 278, 282, 287, 291, 297, 300, 305, 311, 312, 433, 434, 435, 437], "instead": [14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 94, 125, 127, 131, 132, 179, 201, 202, 207, 208, 237, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 352, 385, 387, 390, 392, 439, 460, 461, 466, 468, 530], "per": [14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 42, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 81, 95, 101, 109, 118, 119, 127, 131, 135, 137, 138, 139, 140, 141, 146, 149, 196, 208, 210, 226, 237, 240, 245, 252, 273, 274, 275, 276, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 292, 293, 294, 298, 299, 301, 302, 303, 306, 307, 308, 309, 313, 314, 315, 316, 317, 340, 353, 359, 368, 377, 378, 387, 390, 395, 397, 398, 399, 400, 406, 456, 468, 470, 486, 498, 501, 506, 512], "averag": [14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 51, 53, 54, 56, 57, 95, 97, 101, 104, 109, 112, 118, 119, 127, 140, 152, 181, 221, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 310, 313, 315, 316, 353, 355, 359, 363, 368, 371, 377, 378, 387, 400, 412, 440, 481], "regress": [15, 21, 25, 30, 34, 39, 42, 47, 54, 57, 163, 179, 273, 279, 283, 288, 292, 298, 301, 306, 313, 316, 422, 439], "multi": [15, 21, 25, 28, 30, 34, 39, 42, 44, 47, 50, 54, 57, 91, 113, 115, 118, 119, 125, 127, 170, 221, 273, 279, 283, 286, 288, 292, 298, 301, 303, 306, 309, 313, 316, 318, 349, 372, 374, 377, 378, 385, 387, 430, 481], "sequenceclassifi": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316], "albert_base_sequence_classifier_imdb": [15, 273], "activ": [15, 17, 18, 21, 23, 25, 27, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 125, 177, 207, 214, 221, 260, 273, 275, 276, 279, 281, 283, 285, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 385, 437, 466, 481], "calcul": [15, 17, 18, 21, 23, 25, 27, 28, 32, 34, 36, 39, 42, 44, 47, 49, 50, 54, 56, 57, 81, 117, 135, 140, 150, 157, 181, 221, 273, 275, 276, 279, 281, 283, 285, 286, 290, 292, 294, 298, 301, 303, 306, 308, 309, 313, 315, 316, 340, 376, 395, 400, 409, 417, 440, 481], "sigmoid": [15, 17, 18, 21, 23, 25, 27, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 221, 273, 275, 276, 279, 281, 283, 285, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 481], "love": [15, 18, 21, 23, 28, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 94, 111, 119, 155, 158, 273, 276, 279, 281, 286, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 352, 370, 378, 415, 418, 526], "movi": [15, 18, 21, 23, 28, 30, 32, 34, 36, 39, 47, 49, 50, 54, 56, 57, 158, 165, 273, 276, 279, 281, 286, 288, 290, 292, 294, 298, 306, 308, 309, 313, 315, 316, 418, 424, 526], "child": [15, 18, 21, 23, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 273, 276, 279, 281, 288, 290, 292, 294, 298, 306, 308, 313, 315, 316], "pretti": [15, 18, 21, 23, 30, 32, 34, 36, 39, 44, 47, 49, 54, 56, 57, 125, 273, 276, 279, 281, 288, 290, 292, 294, 298, 303, 306, 308, 313, 315, 316, 385], "bore": [15, 18, 21, 23, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 273, 276, 279, 281, 288, 290, 292, 294, 298, 306, 308, 313, 315, 316], "neg": [15, 18, 21, 23, 25, 30, 32, 34, 36, 39, 47, 49, 50, 54, 56, 57, 113, 157, 158, 181, 221, 234, 273, 276, 279, 281, 283, 288, 290, 292, 294, 298, 306, 308, 309, 313, 315, 316, 372, 417, 418, 440, 481, 494, 522], "limit": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 67, 69, 78, 80, 88, 91, 96, 105, 107, 114, 117, 120, 125, 158, 179, 184, 203, 221, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 325, 327, 337, 339, 347, 349, 354, 364, 366, 373, 376, 379, 385, 439, 444, 462, 481], "almost": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316], "help": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 69, 76, 84, 85, 86, 91, 92, 146, 147, 160, 161, 162, 164, 167, 168, 170, 174, 176, 193, 210, 221, 234, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 318, 327, 335, 342, 344, 345, 349, 350, 406, 407, 419, 420, 421, 423, 427, 428, 430, 434, 436, 453, 470, 481, 494, 522, 527, 531], "feed": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316], "entir": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 67, 95, 108, 113, 114, 170, 175, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 306, 308, 313, 315, 316, 318, 325, 353, 367, 372, 373, 430, 435], "one": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 44, 47, 49, 54, 56, 57, 63, 67, 78, 79, 80, 81, 84, 85, 87, 93, 94, 102, 107, 112, 118, 119, 120, 125, 127, 131, 133, 138, 141, 146, 155, 162, 175, 184, 190, 210, 213, 221, 236, 237, 250, 273, 275, 276, 279, 281, 283, 285, 288, 290, 292, 294, 298, 301, 303, 306, 308, 313, 315, 316, 322, 325, 337, 338, 339, 340, 342, 344, 346, 351, 352, 360, 366, 371, 377, 378, 379, 385, 387, 390, 393, 398, 401, 406, 415, 421, 435, 444, 449, 470, 473, 481, 497, 498, 511, 522, 526], "token_classifi": [16, 26, 40, 43, 48, 55, 58, 274, 284, 299, 302, 307, 314, 317], "albert_base_token_classifier_conll03": [16, 274], "tokenclassifi": [16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317], "john": [16, 22, 31, 35, 40, 43, 48, 55, 58, 63, 94, 111, 119, 122, 123, 142, 144, 155, 204, 250, 256, 274, 280, 289, 293, 299, 302, 307, 314, 317, 322, 352, 370, 378, 380, 382, 402, 404, 415, 463, 511, 517], "lenon": [16, 22, 31, 35, 40, 43, 48, 55, 58, 274, 280, 289, 293, 299, 302, 307, 314, 317], "born": [16, 22, 31, 35, 40, 43, 48, 55, 58, 166, 167, 274, 280, 289, 293, 299, 302, 307, 314, 317, 425, 427], "london": [16, 22, 31, 35, 40, 43, 48, 55, 58, 274, 280, 289, 293, 299, 302, 307, 314, 317], "pari": [16, 22, 31, 35, 40, 43, 48, 55, 58, 143, 274, 280, 289, 293, 299, 302, 307, 314, 317, 403], "sarah": [16, 22, 31, 35, 40, 43, 48, 55, 58, 274, 280, 289, 293, 299, 302, 307, 314, 317], "o": [16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 138, 139, 140, 142, 208, 226, 240, 252, 255, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 398, 399, 400, 402, 468, 486, 501, 512, 516, 532], "modelforsequenceclassif": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "nli": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "natur": [17, 18, 23, 27, 32, 36, 49, 50, 56, 80, 91, 92, 93, 94, 96, 98, 99, 100, 107, 115, 116, 120, 127, 163, 166, 171, 177, 179, 199, 209, 213, 275, 276, 281, 285, 290, 294, 308, 309, 315, 339, 349, 350, 351, 352, 354, 356, 357, 358, 366, 374, 375, 379, 387, 422, 425, 431, 437, 439, 458, 469, 473], "don": [17, 18, 23, 27, 32, 36, 49, 56, 99, 110, 144, 221, 275, 276, 281, 285, 290, 294, 308, 315, 357, 369, 404, 481], "hardcod": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "potenti": [17, 18, 23, 27, 32, 36, 49, 56, 78, 165, 169, 173, 175, 183, 275, 276, 281, 285, 290, 294, 308, 315, 337, 424, 429, 433, 435, 442], "thei": [17, 18, 23, 27, 32, 36, 49, 51, 56, 84, 85, 86, 140, 144, 146, 162, 166, 211, 253, 275, 276, 281, 285, 290, 294, 308, 310, 315, 342, 344, 345, 400, 404, 406, 421, 425, 471, 489, 509, 513, 526], "chosen": [17, 18, 23, 27, 32, 36, 49, 56, 84, 85, 140, 146, 275, 276, 281, 285, 290, 294, 308, 315, 342, 344, 400, 406], "runtim": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "usual": [17, 18, 23, 27, 32, 36, 49, 56, 80, 213, 241, 275, 276, 281, 285, 290, 294, 308, 315, 339, 473, 502], "slower": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "flexibl": [17, 18, 23, 27, 32, 36, 49, 56, 66, 71, 78, 249, 275, 276, 281, 285, 290, 294, 308, 315, 324, 330, 337, 510], "loop": [17, 18, 23, 36, 49, 56, 210, 275, 276, 281, 294, 308, 315, 470], "through": [17, 18, 23, 36, 49, 56, 91, 107, 123, 125, 135, 169, 172, 174, 204, 275, 276, 281, 294, 308, 315, 349, 366, 382, 385, 429, 432, 434, 463, 527], "longer": [17, 18, 23, 36, 49, 56, 91, 100, 105, 116, 127, 167, 170, 171, 275, 276, 281, 294, 308, 315, 318, 349, 358, 364, 375, 387, 427, 430, 431, 531], "pass": [17, 18, 23, 27, 32, 36, 49, 56, 146, 210, 275, 276, 281, 285, 290, 294, 308, 315, 348, 406, 470], "pose": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "premis": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "hypothesi": [17, 18, 23, 27, 32, 36, 49, 56, 275, 276, 281, 285, 290, 294, 308, 315], "pair": [17, 18, 23, 27, 32, 36, 49, 56, 66, 101, 102, 109, 113, 123, 169, 234, 275, 276, 281, 285, 290, 294, 308, 315, 324, 359, 360, 368, 372, 382, 429, 494], "albert_base_zero_shot_classifier_onnx": [17, 275], "iphon": [17, 275], "resolv": [17, 275], "asap": [17, 275], "urgent": [17, 275], "albert_zero_shot_classifier_onnx": [17, 275], "bart": [17, 18, 163, 275, 276, 422], "bartforsequenceclassif": [18, 276], "bart_large_zero_shot_classifier_mnli": [18, 276], "bert_base_cased_qa_squad2": [20, 278], "bert_base_sequence_classifier_imdb": [21, 279], "bert_base_token_classifier_conll03": [22, 280], "bert_zero_shot_classifier_mnli": [23, 281], "camembert": [24, 25, 26, 96, 282, 283, 284, 354], "camembert_base_qa_fquad": [24, 282], "fr": [24, 25, 27, 96, 127, 169, 172, 282, 283, 285, 354, 387, 429, 432], "sequence_classifi": [25, 283], "camembert_base_sequence_classifier_allocin": [25, 283], "j": [25, 122, 283, 380], "ai": [25, 146, 147, 163, 168, 234, 283, 406, 407, 422, 428, 494, 522], "ador\u00e9": [25, 283], "ce": [25, 283], "film": [25, 283], "lorsqu": [25, 283], "\u00e9tai": [25, 283], "enfant": [25, 283], "je": [25, 283], "d\u00e9test": [25, 283], "\u00e7a": [25, 283], "camembert_base_token_classifier_wikin": [26, 284], "georg": [26, 284], "washington": [26, 284], "est": [26, 96, 127, 170, 284, 318, 354, 387, 430], "all\u00e9": [26, 284], "\u00e0": [26, 284], "camembert_zero_shot_classifier_xnli_onnx": [27, 285], "multi_class": [27, 285], "setcandidatelabel": [27, 66, 214, 221, 285, 324, 481], "sport": [27, 285], "politiqu": [27, 285], "scienc": [27, 104, 125, 173, 178, 285, 363, 385, 433, 438, 523], "l": [27, 71, 237, 245, 285, 330, 498], "\u00e9quip": [27, 285], "de": [27, 80, 96, 125, 127, 170, 285, 318, 339, 354, 385, 387, 430], "joue": [27, 285], "aujourd": [27, 285], "hui": [27, 285], "au": [27, 285], "parc": [27, 285], "princ": [27, 285], "classifierdl": [28, 286, 526], "univers": [28, 84, 85, 102, 114, 115, 165, 170, 172, 173, 174, 175, 177, 286, 318, 342, 344, 360, 373, 374, 424, 430, 432, 433, 434, 435, 437], "deep": [28, 93, 94, 103, 106, 125, 139, 155, 183, 221, 286, 351, 352, 361, 365, 385, 399, 415, 442, 481], "dnn": [28, 286], "built": [28, 44, 69, 165, 177, 209, 260, 286, 303, 327, 424, 437, 469], "insid": [28, 44, 138, 152, 193, 252, 286, 303, 398, 412, 453, 512], "instanti": [28, 44, 50, 84, 85, 100, 116, 117, 122, 128, 130, 133, 134, 139, 140, 144, 152, 155, 157, 158, 181, 183, 184, 185, 190, 191, 196, 250, 252, 253, 286, 303, 309, 342, 344, 348, 358, 375, 376, 380, 388, 389, 393, 394, 399, 400, 404, 412, 415, 417, 418, 440, 442, 444, 445, 449, 451, 456, 511, 512, 513], "dataset": [28, 44, 50, 84, 85, 95, 96, 100, 101, 104, 105, 107, 110, 111, 113, 114, 116, 117, 125, 127, 139, 140, 141, 150, 155, 166, 168, 169, 172, 173, 175, 178, 183, 196, 232, 238, 240, 249, 252, 253, 254, 255, 261, 286, 303, 309, 342, 344, 353, 354, 358, 359, 363, 364, 366, 369, 370, 372, 373, 375, 376, 385, 387, 399, 400, 401, 409, 415, 425, 428, 429, 432, 433, 435, 438, 442, 456, 493, 499, 501, 510, 512, 513, 515, 516, 529], "monitor": [28, 44, 50, 140, 146, 147, 233, 234, 286, 303, 309, 400, 406, 407, 494, 522], "metric": [28, 44, 50, 140, 185, 234, 286, 303, 309, 400, 445, 494], "done": [28, 44, 50, 110, 111, 139, 140, 141, 286, 303, 309, 369, 370, 399, 400, 401, 527], "settestdataset": [28, 44, 50, 140, 148, 150, 286, 303, 309, 400, 409], "method": [28, 44, 50, 91, 92, 95, 99, 100, 104, 107, 116, 120, 125, 140, 160, 161, 162, 181, 221, 241, 286, 303, 309, 348, 349, 350, 353, 357, 358, 363, 366, 375, 379, 385, 400, 419, 420, 421, 440, 481, 502, 521], "expect": [28, 44, 50, 95, 101, 109, 120, 140, 162, 193, 210, 226, 247, 259, 286, 303, 309, 353, 359, 368, 379, 400, 421, 453, 470, 486, 508, 520], "path": [28, 44, 50, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 81, 84, 85, 100, 116, 117, 122, 123, 128, 130, 133, 134, 139, 140, 141, 143, 144, 150, 155, 157, 160, 161, 162, 166, 183, 184, 185, 188, 193, 207, 208, 224, 225, 234, 236, 237, 238, 240, 245, 250, 252, 253, 254, 255, 258, 286, 303, 309, 323, 326, 329, 330, 331, 332, 333, 334, 335, 336, 340, 342, 344, 358, 375, 376, 380, 382, 388, 389, 393, 394, 399, 400, 401, 403, 404, 409, 415, 417, 419, 420, 421, 425, 442, 444, 445, 448, 453, 466, 468, 484, 485, 494, 497, 498, 501, 506, 511, 512, 513, 515, 516, 519, 522], "parquet": [28, 44, 50, 81, 140, 150, 198, 286, 303, 309, 340, 400, 409, 457], "datafram": [28, 44, 50, 81, 100, 116, 117, 140, 150, 152, 181, 196, 207, 208, 221, 222, 226, 232, 234, 236, 237, 238, 240, 246, 247, 250, 252, 253, 254, 255, 259, 286, 303, 309, 340, 358, 375, 376, 400, 409, 412, 440, 456, 466, 468, 481, 482, 486, 493, 494, 497, 501, 507, 508, 511, 512, 513, 515, 516, 520, 522, 526, 530, 532], "ha": [28, 44, 50, 51, 66, 67, 78, 79, 80, 86, 87, 88, 91, 98, 99, 103, 110, 111, 114, 117, 125, 128, 133, 140, 150, 155, 157, 162, 163, 164, 172, 173, 175, 179, 184, 185, 196, 198, 199, 207, 208, 221, 234, 241, 254, 286, 303, 309, 310, 324, 325, 337, 338, 339, 345, 346, 347, 349, 356, 357, 361, 369, 370, 373, 376, 385, 388, 393, 400, 409, 415, 417, 421, 422, 423, 432, 433, 435, 439, 444, 445, 456, 457, 458, 466, 468, 481, 494, 502, 515, 522, 526, 527], "same": [28, 44, 50, 63, 69, 91, 107, 110, 117, 118, 122, 123, 140, 146, 150, 160, 161, 165, 174, 175, 179, 181, 211, 234, 286, 303, 309, 322, 327, 349, 366, 369, 376, 377, 380, 382, 400, 406, 409, 419, 420, 424, 434, 435, 439, 440, 471, 494, 527], "also": [28, 44, 50, 66, 67, 71, 73, 76, 77, 78, 79, 80, 81, 87, 91, 95, 102, 103, 105, 106, 117, 118, 119, 122, 123, 125, 131, 133, 138, 139, 140, 150, 155, 158, 160, 163, 165, 171, 175, 178, 187, 208, 212, 250, 260, 286, 303, 309, 324, 325, 330, 332, 335, 336, 337, 338, 339, 340, 346, 349, 353, 360, 361, 364, 365, 376, 377, 378, 380, 382, 385, 390, 393, 398, 399, 400, 408, 409, 415, 418, 419, 422, 424, 431, 435, 438, 447, 468, 472, 476, 481, 492, 498, 511, 522, 526, 527, 528, 529, 531], "follow": [28, 44, 50, 63, 76, 82, 87, 103, 105, 113, 117, 125, 131, 132, 133, 138, 140, 144, 154, 171, 175, 194, 210, 212, 237, 238, 286, 303, 309, 322, 335, 341, 346, 361, 364, 372, 376, 385, 390, 392, 393, 398, 400, 404, 414, 431, 435, 454, 470, 472, 498, 522, 524, 527], "preprocessingpipelin": [28, 44, 50, 140, 150, 286, 303, 309, 400, 409], "randomsplit": [28, 44, 50, 140, 150, 286, 303, 309, 400, 409], "write": [28, 44, 50, 117, 140, 146, 150, 165, 178, 184, 185, 286, 303, 309, 376, 400, 406, 409, 424, 438, 444, 445, 527], "overwrit": [28, 44, 50, 140, 142, 150, 234, 286, 303, 309, 400, 402, 409, 494], "test_data": [28, 44, 50, 140, 150, 286, 303, 309, 400, 409], "usag": [28, 44, 50, 63, 84, 85, 86, 87, 88, 91, 92, 93, 94, 96, 97, 99, 103, 110, 115, 117, 118, 120, 122, 125, 127, 128, 131, 132, 133, 134, 139, 140, 141, 144, 152, 154, 155, 157, 158, 160, 161, 162, 163, 170, 179, 181, 183, 184, 186, 187, 191, 193, 196, 203, 286, 303, 309, 318, 322, 342, 344, 345, 346, 347, 349, 350, 351, 352, 354, 355, 357, 361, 369, 374, 376, 377, 379, 380, 385, 387, 388, 390, 392, 393, 394, 399, 400, 401, 404, 412, 414, 415, 417, 418, 419, 420, 421, 422, 430, 439, 440, 442, 444, 446, 447, 451, 453, 456, 462], "64": [28, 44, 50, 91, 140, 149, 286, 303, 309, 349, 400, 408, 526], "coeffici": [28, 50, 139, 140, 286, 309, 399, 400], "enableoutputlog": [28, 44, 50, 140, 148, 150, 286, 303, 309, 400, 409], "stdout": [28, 44, 50, 140, 150, 286, 303, 309, 400, 409], "addit": [28, 44, 50, 81, 84, 85, 93, 94, 122, 139, 140, 141, 146, 150, 154, 162, 166, 178, 193, 234, 286, 303, 309, 340, 342, 344, 348, 351, 352, 380, 399, 400, 401, 406, 409, 414, 421, 425, 438, 453, 494, 525, 526], "evaluationlogextend": [28, 44, 50, 140, 148, 150, 286, 303, 309, 400, 409], "valid": [28, 44, 50, 131, 140, 150, 155, 183, 286, 303, 309, 390, 400, 409, 415, 442, 522], "displai": [28, 44, 50, 150, 166, 234, 286, 303, 309, 409, 425, 494, 522], "lr": [28, 44, 50, 136, 140, 148, 149, 196, 286, 303, 309, 400, 408, 456], "rate": [28, 44, 50, 71, 82, 100, 110, 111, 116, 117, 140, 149, 160, 161, 162, 181, 183, 221, 286, 303, 309, 330, 341, 358, 369, 370, 375, 376, 400, 408, 419, 420, 421, 440, 442, 481], "005": [28, 50, 140, 149, 286, 309, 400, 408], "maxepoch": [28, 44, 50, 136, 137, 139, 140, 148, 149, 286, 303, 309, 397, 399, 400, 408], "epoch": [28, 44, 50, 137, 139, 140, 149, 150, 155, 182, 183, 234, 286, 303, 309, 397, 399, 400, 408, 409, 415, 442, 494], "30": [28, 50, 125, 131, 132, 138, 149, 170, 208, 226, 240, 256, 286, 309, 318, 385, 390, 392, 398, 408, 430, 468, 486, 501, 517, 525], "outputlogspath": [28, 44, 50, 140, 148, 150, 153, 155, 286, 303, 309, 400, 409, 415], "randomse": [28, 44, 50, 136, 137, 139, 140, 148, 149, 286, 303, 309, 397, 399, 400, 408], "random": [28, 44, 50, 100, 116, 137, 139, 140, 146, 149, 170, 181, 201, 286, 303, 309, 358, 375, 397, 399, 400, 406, 408, 430, 440, 460], "seed": [28, 44, 50, 90, 100, 116, 137, 139, 140, 149, 160, 161, 162, 170, 214, 221, 286, 303, 309, 358, 375, 397, 399, 400, 408, 419, 420, 421, 430, 481], "shuffl": [28, 44, 137, 149, 163, 286, 303, 397, 408, 422], "testdataset": [28, 44, 50, 140, 148, 150, 234, 286, 303, 309, 400, 409, 494, 522], "statist": [28, 44, 50, 117, 125, 140, 150, 286, 303, 309, 376, 385, 400, 409], "validationsplit": [28, 44, 50, 140, 148, 150, 153, 155, 286, 303, 309, 400, 409, 415], "choos": [28, 44, 50, 97, 112, 140, 146, 150, 155, 184, 221, 286, 303, 309, 355, 371, 400, 406, 415, 444], "proport": [28, 44, 50, 140, 150, 155, 158, 286, 303, 309, 400, 409, 415], "against": [28, 44, 50, 122, 125, 130, 134, 140, 150, 155, 161, 174, 175, 211, 286, 303, 309, 380, 385, 389, 394, 400, 409, 415, 420, 434, 435, 471], "between": [28, 44, 50, 71, 78, 84, 85, 86, 88, 102, 107, 110, 111, 115, 118, 119, 120, 123, 140, 146, 150, 154, 155, 169, 171, 172, 183, 221, 237, 286, 303, 309, 330, 337, 342, 344, 345, 347, 360, 366, 369, 370, 374, 377, 378, 379, 382, 400, 406, 409, 414, 415, 429, 431, 432, 442, 481], "off": [28, 44, 50, 115, 118, 119, 140, 150, 155, 173, 286, 303, 309, 374, 377, 378, 400, 409, 415, 433], "verbos": [28, 44, 50, 136, 139, 140, 148, 150, 221, 286, 303, 309, 399, 400, 409, 481], "accept": [28, 44, 50, 77, 146, 236, 238, 286, 303, 309, 336, 406, 497, 499], "singl": [28, 44, 50, 71, 101, 102, 104, 117, 123, 125, 163, 169, 181, 190, 191, 193, 210, 221, 237, 245, 249, 252, 286, 303, 309, 330, 348, 359, 360, 363, 376, 382, 385, 422, 429, 440, 449, 451, 453, 470, 481, 498, 506, 510, 512], "item": [28, 50, 117, 146, 210, 234, 252, 286, 309, 376, 406, 470, 494, 512, 522], "doubl": [28, 50, 157, 198, 203, 212, 286, 309, 457, 462, 472], "In": [28, 44, 50, 67, 80, 88, 96, 98, 99, 105, 107, 109, 117, 120, 122, 125, 127, 128, 130, 133, 134, 141, 154, 155, 157, 162, 163, 166, 167, 169, 171, 172, 174, 177, 178, 179, 184, 185, 196, 234, 237, 238, 254, 286, 303, 309, 325, 339, 347, 354, 356, 357, 364, 366, 368, 376, 379, 380, 385, 387, 388, 389, 393, 394, 401, 414, 415, 417, 421, 422, 425, 427, 429, 431, 432, 434, 437, 438, 439, 444, 445, 456, 494, 515, 522, 526, 527, 531, 532], "csv": [28, 50, 81, 122, 150, 212, 243, 250, 286, 309, 340, 380, 409, 472, 511, 526], "best": [28, 50, 91, 96, 101, 104, 110, 111, 125, 127, 140, 146, 163, 165, 169, 178, 210, 286, 309, 349, 354, 359, 363, 369, 370, 385, 387, 400, 406, 422, 424, 429, 438, 470, 526], "wach": [28, 286, 526], "ever": [28, 50, 87, 286, 309, 346, 526], "opinion": [28, 50, 286, 309, 526], "win": [28, 50, 286, 309, 526], "award": [28, 50, 286, 309, 526], "terribl": [28, 50, 286, 309, 526], "act": [28, 50, 141, 217, 286, 309, 401, 526], "bad": [28, 50, 157, 234, 286, 309, 417, 494, 522, 526], "realli": [28, 50, 146, 158, 286, 309, 406, 418, 526], "Then": [28, 44, 139, 140, 169, 172, 213, 234, 260, 286, 303, 399, 400, 429, 432, 473, 494, 526], "trane": [28, 286], "smallcorpu": [28, 50, 286, 309, 526], "header": [28, 50, 51, 81, 210, 212, 236, 237, 238, 250, 286, 309, 310, 340, 470, 472, 497, 498, 499, 511, 526], "src": [28, 50, 66, 67, 78, 79, 80, 84, 85, 117, 128, 130, 133, 134, 139, 140, 141, 152, 162, 171, 184, 185, 190, 196, 252, 253, 254, 255, 256, 286, 309, 324, 325, 337, 338, 339, 342, 344, 376, 388, 389, 393, 394, 399, 400, 401, 412, 421, 431, 444, 445, 449, 456, 512, 513, 515, 516, 517, 526, 532], "useembed": [28, 44, 50, 115, 286, 303, 309, 374, 526], "docclassifi": [28, 44, 50, 286, 303, 309, 526], "setbatchs": [28, 44, 50, 64, 68, 90, 92, 103, 136, 140, 148, 149, 160, 161, 162, 182, 183, 214, 221, 234, 286, 303, 309, 326, 350, 361, 400, 408, 419, 420, 421, 442, 481, 494, 522, 526], "setmaxepoch": [28, 44, 50, 136, 137, 139, 140, 141, 148, 149, 234, 286, 303, 309, 397, 399, 400, 401, 408, 494, 522, 526], "20": [28, 42, 51, 67, 69, 77, 86, 120, 138, 160, 163, 165, 166, 167, 169, 171, 172, 173, 174, 175, 177, 178, 208, 212, 226, 240, 286, 301, 310, 325, 327, 336, 345, 379, 398, 419, 422, 424, 425, 427, 429, 431, 432, 433, 434, 435, 437, 438, 468, 472, 486, 501, 526], "setlr": [28, 44, 50, 136, 140, 148, 149, 234, 286, 303, 309, 400, 408, 494, 522, 526], "5e": [28, 50, 286, 309, 526], "pipelinemodel": [28, 42, 44, 50, 84, 85, 87, 100, 116, 139, 140, 141, 158, 183, 184, 185, 196, 208, 211, 234, 238, 241, 286, 301, 303, 309, 342, 344, 346, 358, 375, 399, 400, 401, 418, 442, 444, 445, 456, 468, 471, 494, 499, 502, 526, 529], "v": [28, 44, 50, 82, 98, 102, 107, 117, 125, 127, 130, 140, 149, 150, 165, 185, 221, 226, 286, 303, 309, 341, 356, 360, 366, 376, 385, 387, 389, 400, 408, 409, 424, 445, 481, 486], "your": [28, 44, 50, 84, 88, 92, 99, 100, 110, 112, 116, 128, 130, 133, 134, 138, 139, 140, 144, 146, 147, 152, 157, 158, 160, 161, 162, 183, 184, 190, 191, 196, 201, 238, 246, 247, 249, 260, 261, 286, 303, 309, 342, 347, 350, 357, 358, 369, 371, 375, 388, 389, 393, 394, 398, 399, 400, 404, 406, 407, 412, 417, 418, 419, 420, 421, 442, 444, 449, 451, 456, 460, 499, 507, 508, 510, 524, 526, 529, 530, 532], "own": [28, 44, 50, 84, 100, 116, 128, 130, 133, 134, 139, 140, 144, 152, 157, 158, 183, 184, 190, 191, 196, 261, 286, 303, 309, 342, 348, 358, 375, 388, 389, 393, 394, 399, 400, 404, 412, 417, 418, 442, 444, 449, 451, 456, 529, 530, 532], "classifierdl_use_trec6": [28, 286, 526], "trec": [28, 286], "sarcasmdl": [28, 286, 526], "classifierdl_use_sarcasm": [28, 286, 526], "sarcasm": [28, 286, 526], "m": [28, 88, 131, 132, 164, 250, 256, 286, 347, 390, 392, 423, 511, 517, 526], "readi": [28, 240, 260, 286, 501, 526], "could": [28, 99, 125, 133, 150, 183, 286, 357, 385, 393, 409, 442, 525, 526, 527], "put": [28, 210, 226, 286, 470, 486, 526], "word": [28, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 80, 84, 85, 91, 97, 98, 100, 102, 103, 110, 112, 115, 116, 117, 120, 122, 123, 125, 128, 135, 138, 142, 143, 144, 152, 157, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 191, 193, 195, 196, 208, 226, 236, 237, 238, 240, 246, 250, 254, 255, 258, 286, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 339, 342, 344, 349, 355, 356, 358, 360, 361, 369, 371, 374, 375, 376, 379, 380, 382, 385, 388, 395, 398, 402, 403, 404, 412, 417, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 442, 444, 445, 446, 447, 451, 453, 455, 456, 468, 486, 497, 499, 501, 507, 511, 515, 516, 525, 526], "wake": [28, 286, 526], "am": [28, 86, 131, 132, 160, 165, 166, 167, 168, 173, 174, 175, 177, 190, 286, 345, 390, 392, 419, 424, 425, 427, 428, 433, 434, 435, 437, 449, 526], "mondai": [28, 286, 526], "arrays_zip": [28, 84, 85, 125, 286, 342, 344, 385, 526], "out": [28, 69, 70, 71, 72, 73, 74, 75, 76, 77, 81, 92, 95, 101, 109, 125, 128, 144, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 186, 187, 286, 327, 329, 330, 331, 332, 333, 334, 335, 336, 340, 350, 353, 359, 368, 385, 388, 404, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 446, 447, 526], "deberta": [29, 30, 31, 32, 98, 287, 288, 289, 290, 356], "deberta_v3_xsmall_qa_squad2": [29, 287], "v2": [30, 31, 93, 94, 98, 178, 288, 289, 351, 352, 356, 438], "v3": [30, 31, 288, 289], "deberta_v3_xsmall_sequence_classifier_imdb": [30, 288], "deberta_base_sequence_classifier_imdb": [30, 288], "deberta_v3_xsmall_token_classifier_conll03": [31, 289], "deberta_base_zero_shot_classifier_mnli_anli_v3": [32, 290], "distilbert": [33, 34, 36, 37, 99, 291, 292, 294, 295, 357], "distilbert_base_cased_qa_squad2": [33, 291], "distilbert_base_sequence_classifier_imdb": [34, 292], "distilbert_base_token_classifier_conll03": [35, 293], "distilbert_base_zero_shot_classifier_uncased_mnli": [36, 294], "distilbert_base_uncased_multiple_choic": [37, 295], "longform": [38, 39, 40, 105, 297, 298, 299, 364], "longformer_base_base_qa_squad2": [38, 297], "longformer_base_sequence_classifier_imdb": [39, 298], "4096": [39, 69, 70, 91, 105, 162, 221, 298, 327, 329, 349, 364, 421, 481], "xlnet_base_token_classifier_conll03": [40, 58, 299, 317], "longformer_base_token_classifier_conll03": [40, 299], "mpnet": [41, 42, 107, 300, 301, 366], "mpnet_base_question_answering_squad2": [41, 300], "mpnet_sequence_classifier_ukr_messag": [42, 301], "drive": [42, 301], "car": [42, 301], "bu": [42, 301], "arriv": [42, 301], "minut": [42, 44, 301, 303], "pineappl": [42, 301], "pizza": [42, 301], "worst": [42, 301], "transport": [42, 301], "movement": [42, 301], "food": [42, 146, 147, 161, 162, 203, 301, 406, 407, 420, 421, 462], "mpnet_base_sequence_classifier_imdb": [42, 301], "xlm": [43, 52, 53, 54, 55, 118, 119, 302, 311, 312, 313, 314, 377, 378], "roberta": [43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 79, 96, 98, 105, 107, 110, 111, 118, 119, 143, 163, 302, 304, 305, 306, 307, 308, 311, 312, 313, 314, 338, 354, 356, 364, 366, 369, 370, 377, 378, 403, 422], "mpnet_base_token_classifi": [43, 55, 302, 314], "multiclassifierdl": [44, 303], "bidirect": [44, 93, 94, 103, 120, 163, 303, 351, 352, 361, 379, 422], "gru": [44, 303], "convolut": [44, 67, 80, 303, 325, 339], "machin": [44, 67, 86, 88, 100, 116, 125, 139, 163, 166, 169, 170, 172, 179, 234, 303, 318, 325, 345, 347, 358, 375, 385, 399, 422, 425, 429, 430, 432, 439, 494, 524], "strongli": [44, 303], "relat": [44, 84, 85, 123, 303, 342, 344, 382, 531], "variant": [44, 82, 105, 115, 175, 303, 341, 364, 374, 435], "mai": [44, 88, 92, 146, 160, 161, 162, 167, 169, 174, 199, 221, 250, 303, 347, 348, 350, 406, 419, 420, 421, 427, 429, 434, 458, 481, 511, 525, 526, 527, 530, 531], "multiclass": [44, 221, 303], "categor": [44, 241, 303, 502], "precis": [44, 84, 85, 88, 221, 303, 342, 344, 347, 481], "constraint": [44, 303], "mani": [44, 73, 98, 110, 111, 125, 146, 163, 165, 166, 167, 169, 170, 172, 179, 196, 246, 247, 303, 318, 332, 348, 356, 369, 370, 385, 406, 422, 424, 425, 427, 429, 430, 432, 439, 456, 507, 508], "formal": [44, 303], "find": [44, 84, 85, 109, 110, 111, 114, 115, 122, 123, 128, 131, 163, 166, 178, 303, 342, 344, 368, 369, 370, 373, 374, 380, 382, 388, 390, 422, 425, 438], "x": [44, 71, 226, 252, 260, 303, 330, 486, 512, 532], "binari": [44, 207, 214, 222, 234, 245, 247, 250, 303, 466, 482, 494, 506, 508, 511], "y": [44, 88, 260, 303, 347], "multiclassifi": [44, 234, 303, 494, 522], "001": [44, 82, 139, 140, 303, 341, 399, 400], "10": [44, 63, 68, 84, 88, 95, 125, 131, 132, 142, 146, 164, 169, 181, 184, 234, 256, 303, 322, 326, 342, 347, 353, 385, 390, 392, 402, 406, 423, 429, 440, 444, 494, 517, 525], "44": [44, 100, 116, 152, 172, 303, 358, 375, 412, 432], "ed58abb40640f983": [44, 303], "pn": [44, 303], "newsyou": [44, 303], "toxic": [44, 172, 174, 303, 432, 434], "a1237f726b5f5d89": [44, 303], "dude": [44, 303], "place": [44, 80, 162, 210, 303, 339, 348, 421, 470], "obscen": [44, 303], "insult": [44, 303], "24b0d6c8733c2abe": [44, 303], "thank": [44, 120, 125, 164, 256, 303, 379, 385, 423, 517], "8c4478fb239bcfc0": [44, 303], "gee": [44, 303], "traindataset": [44, 234, 303, 494, 522], "printschema": [44, 198, 200, 207, 209, 236, 245, 250, 303, 457, 459, 466, 469, 497, 506, 511], "root": [44, 63, 84, 85, 123, 198, 200, 207, 209, 236, 245, 247, 250, 253, 303, 322, 342, 344, 382, 457, 459, 466, 469, 497, 506, 508, 511, 513], "setcleanupmod": [44, 197, 200, 209, 303, 459, 469], "shrink": [44, 200, 209, 303, 459, 469], "1e": [44, 234, 303, 494, 522], "setvalidationsplit": [44, 148, 150, 153, 155, 303, 409, 415], "multiclassifierdl_use_tox": [44, 303], "comment": [44, 125, 303, 385], "jigsaw": [44, 303], "good": [44, 96, 99, 115, 158, 303, 354, 357, 374, 418], "stuff": [44, 303], "wtf": [44, 303], "kind": [44, 125, 131, 132, 303, 385, 390, 392], "crap": [44, 303], "roberta_base_uncased_multiple_choic": [45, 304], "roberta_base_qa_squad2": [46, 143, 305, 403], "roberta_base_sequence_classifier_imdb": [47, 306], "roberta_base_token_classifier_conll03": [48, 307], "roberta_base_zero_shot_classifier_nli": [49, 308], "sentimentdl": [50, 309], "affect": [50, 193, 221, 309, 453, 481], "subject": [50, 84, 85, 309, 342, 344], "view": [50, 309], "product": [50, 173, 309, 433], "review": [50, 146, 230, 309, 406, 490], "tweet": [50, 309], "interpret": [50, 86, 122, 177, 224, 309, 345, 380, 437, 484], "posit": [50, 98, 99, 107, 113, 118, 119, 120, 125, 138, 141, 146, 157, 158, 162, 181, 192, 196, 213, 221, 234, 309, 356, 357, 366, 372, 377, 378, 379, 385, 398, 401, 406, 417, 418, 421, 440, 452, 456, 473, 481, 494, 522], "final": [50, 86, 105, 110, 111, 118, 119, 127, 140, 169, 183, 309, 345, 364, 369, 370, 377, 378, 387, 400, 429, 442, 526], "otheriws": [50, 127, 309, 387], "neutral": [50, 127, 309, 387], "score": [50, 93, 94, 118, 119, 125, 127, 139, 140, 143, 157, 158, 161, 166, 203, 309, 351, 352, 377, 378, 385, 387, 399, 400, 403, 417, 418, 420, 425, 462], "less": [50, 99, 127, 131, 135, 139, 170, 174, 184, 309, 357, 387, 390, 395, 399, 430, 434, 444], "watch": [50, 158, 165, 309, 418, 424], "32": [50, 91, 92, 103, 160, 161, 162, 221, 256, 309, 349, 350, 361, 419, 420, 421, 481, 517, 525, 531], "p": [50, 87, 100, 116, 127, 140, 141, 150, 160, 161, 162, 191, 221, 309, 346, 358, 375, 387, 400, 401, 409, 419, 420, 421, 451, 481], "sentimentdl_use_imdb": [50, 309], "imdb": [50, 309], "sentimentdl_use_twitt": [50, 309], "wow": [50, 309], "video": [50, 125, 309, 385], "awesom": [50, 309], "bruh": [50, 309], "damn": [50, 309], "wast": [50, 158, 309, 418], "implement": [51, 100, 116, 118, 143, 155, 183, 205, 206, 310, 319, 348, 358, 375, 377, 403, 415, 440, 442, 464, 465, 474, 475, 483, 489, 493, 509], "tapa": [51, 310], "design": [51, 67, 77, 78, 82, 93, 94, 110, 111, 114, 130, 161, 163, 168, 170, 173, 176, 178, 234, 310, 318, 325, 336, 337, 341, 351, 352, 369, 370, 373, 389, 420, 422, 428, 430, 433, 436, 438, 494, 522], "about": [51, 65, 72, 73, 77, 84, 85, 110, 111, 113, 117, 125, 143, 146, 154, 165, 185, 208, 211, 258, 310, 323, 331, 332, 336, 342, 344, 369, 370, 372, 376, 385, 403, 406, 414, 424, 445, 468, 471, 519, 525, 527, 530, 531], "tabular": [51, 212, 310, 472], "tabl": [51, 181, 212, 214, 218, 236, 237, 238, 249, 250, 310, 440, 472, 477, 497, 498, 510, 511], "tri": [51, 310], "share": [51, 125, 310, 385, 527], "its": [51, 70, 80, 98, 99, 105, 120, 125, 152, 157, 161, 162, 163, 170, 171, 173, 174, 175, 177, 178, 187, 210, 234, 237, 245, 254, 310, 318, 329, 339, 356, 357, 364, 379, 385, 412, 417, 420, 421, 422, 430, 431, 433, 434, 435, 437, 438, 447, 470, 494, 515], "table_qa_tapas_base_finetuned_wtq": [51, 310], "table_json": [51, 310], "document_t": [51, 212, 249, 310, 472, 510], "stage": [51, 113, 181, 208, 211, 234, 238, 245, 246, 249, 310, 372, 440, 468, 471, 494, 499, 506, 507, 510, 522, 526, 527, 530], "json_data": [51, 310], "monei": [51, 212, 310, 472], "ag": [51, 95, 101, 109, 212, 310, 353, 359, 368, 472], "donald": [51, 212, 310, 472], "trump": [51, 212, 310, 472], "75": [51, 125, 175, 212, 310, 385, 435, 472], "elon": [51, 212, 310, 472], "musk": [51, 212, 310, 472], "55": [51, 142, 212, 256, 310, 402, 472, 517], "AS": [51, 63, 143, 310, 322, 403], "who": [51, 86, 88, 168, 191, 310, 345, 347, 428, 451, 526], "earn": [51, 310], "count": [51, 146, 177, 183, 237, 310, 406, 437, 442], "old": [51, 63, 254, 310, 322, 515], "xlm_roberta_base_qa_squad2": [52, 53, 311, 312], "xlm_roberta_base_mc": [52, 311], "xlm_roberta_base_sequence_classifier_imdb": [54, 313], "xlm_roberta_large_zero_shot_classifier_xnli_anli": [56, 315], "xlmroberta": [56, 315], "xlnet": [57, 58, 107, 120, 316, 317, 366, 379], "xlnet_base_sequence_classifier_imdb": [57, 316], "bullet": [59, 60, 61, 250, 318, 511], "cleanpostfixpattern": [59, 60, 318], "cleanprefixpattern": [59, 60, 318], "cleanermod": [59, 60, 318], "dash": [59, 60, 318], "extrawhitespac": [59, 60, 318], "ignorecas": [59, 60, 318], "setbullet": [59, 60, 318], "setcleanpostfixpattern": [59, 60, 318], "setcleanprefixpattern": [59, 60, 318], "setcleanermod": [59, 60, 318], "setdash": [59, 60, 318], "setextrawhitespac": [59, 60, 318], "setignorecas": [59, 60, 318], "setstrip": [59, 60, 318], "settrailingpunctu": [59, 60, 318], "strip": [59, 60, 318], "trailingpunctu": [59, 60, 318], "emailaddress": [59, 61, 319], "emaildatetimetzpattern": [59, 61, 319], "extractormod": [59, 61, 319], "imageurlpattern": [59, 61, 319], "ipaddressnamepattern": [59, 61, 319], "ipaddresspattern": [59, 61, 319], "mapiidpattern": [59, 61, 319], "setemailaddress": [59, 61, 319], "setemaildatetimetzpattern": [59, 61, 319], "setextractormod": [59, 61, 319], "setimageurlpattern": [59, 61, 319], "setindex": [59, 61, 319], "setipaddressnamepattern": [59, 61, 319], "setipaddresspattern": [59, 61, 319], "setmapiidpattern": [59, 61, 319], "settextpattern": [59, 61, 319], "setusphonenumberspattern": [59, 61, 319], "textpattern": [59, 61, 319], "usphonenumberspattern": [59, 61, 319], "handl": [60, 69, 70, 163, 171, 224, 249, 251, 318, 327, 329, 422, 431, 484, 510, 514], "postfix": [60, 318], "regex": [60, 86, 87, 122, 131, 133, 144, 183, 184, 185, 192, 193, 196, 236, 237, 318, 345, 346, 380, 383, 390, 393, 404, 442, 444, 445, 452, 453, 456, 497], "prefix": [60, 138, 160, 161, 162, 189, 191, 193, 234, 318, 398, 419, 420, 421, 451, 453, 494, 522], "clean": [60, 87, 144, 163, 179, 213, 318, 346, 404, 422, 439, 473, 527], "bytes_string_to_str": [60, 318], "clean_non_ascii_char": [60, 318], "clean_ordered_bullet": [60, 318], "clean_postfix": [60, 318], "clean_prefix": [60, 318], "remove_punctu": [60, 318], "replace_unicode_quot": [60, 318], "utf": [60, 87, 318, 346], "remov": [60, 81, 87, 110, 111, 144, 158, 192, 201, 202, 204, 258, 318, 340, 346, 369, 370, 404, 418, 452, 460, 461, 463], "extra": [60, 183, 184, 210, 318, 442, 444, 470, 526], "whitespac": [60, 86, 88, 192, 196, 199, 318, 345, 347, 452, 456, 458], "oper": [60, 99, 105, 183, 191, 318, 357, 364, 442, 451, 525], "lead": [60, 91, 96, 108, 113, 114, 118, 119, 168, 318, 349, 354, 367, 372, 373, 377, 378, 428], "trail": [60, 318], "punctuat": [60, 144, 154, 318, 404, 414], "specifi": [61, 67, 81, 92, 142, 143, 146, 155, 160, 161, 162, 181, 221, 252, 253, 319, 325, 340, 348, 350, 402, 403, 406, 415, 419, 420, 421, 481, 512, 513], "email": [61, 236, 238, 243, 246, 250, 319, 497, 499, 507, 511], "timestamp": [61, 245, 319, 506], "includ": [61, 70, 78, 87, 93, 94, 95, 100, 103, 114, 116, 118, 119, 120, 123, 125, 131, 138, 139, 140, 141, 146, 163, 164, 166, 167, 173, 175, 177, 178, 179, 181, 183, 202, 203, 207, 224, 234, 236, 237, 238, 245, 246, 247, 249, 255, 260, 319, 329, 337, 346, 348, 351, 352, 353, 358, 361, 373, 375, 377, 378, 379, 382, 385, 390, 398, 399, 400, 401, 406, 422, 423, 425, 427, 433, 435, 437, 438, 439, 440, 442, 461, 462, 466, 484, 494, 497, 498, 499, 506, 507, 508, 510, 516, 523, 525, 526, 527, 532], "zone": [61, 114, 319, 373], "email_d": 61, "email_address": 61, "ip_address": 61, "ip_address_nam": 61, "mapi_id": 61, "us_phone_numb": 61, "image_url": 61, "text_aft": 61, "text_befor": 61, "url": [61, 104, 236, 237, 238, 250, 319, 363, 497, 499, 511], "after": [61, 81, 82, 84, 85, 100, 110, 111, 115, 116, 131, 132, 138, 146, 165, 171, 191, 213, 234, 237, 260, 319, 340, 341, 342, 344, 358, 369, 370, 375, 390, 392, 398, 406, 424, 431, 451, 473, 494, 525, 526], "befor": [61, 87, 117, 131, 132, 141, 163, 179, 184, 192, 196, 260, 319, 346, 348, 376, 390, 392, 401, 422, 439, 440, 444, 452, 456, 475, 493, 522], "ip": [61, 319], "mapi": [61, 319], "u": [61, 84, 85, 98, 99, 125, 132, 138, 139, 140, 208, 226, 240, 253, 319, 342, 344, 356, 357, 385, 392, 398, 399, 400, 468, 486, 501, 513, 524, 527, 532], "phone": [61, 125, 175, 319, 385, 435], "maxsegmentlength": [62, 63, 322], "setmaxsegmentlength": [62, 63, 322], "settextgenr": [62, 63, 322], "textgenr": [62, 63, 322], "corefer": [63, 322], "resolut": [63, 78, 322, 337], "spanbert": [63, 322], "identifi": [63, 117, 125, 130, 133, 146, 147, 178, 192, 193, 225, 234, 236, 237, 322, 376, 385, 389, 393, 406, 407, 438, 452, 453, 485, 494, 497, 527], "given": [63, 67, 78, 79, 80, 86, 88, 104, 122, 125, 141, 143, 160, 161, 162, 163, 166, 173, 179, 183, 184, 185, 187, 207, 210, 220, 221, 232, 234, 258, 322, 325, 337, 338, 339, 345, 347, 363, 380, 385, 401, 403, 419, 420, 421, 422, 425, 433, 439, 442, 444, 445, 447, 466, 470, 480, 481, 493, 494, 519], "told": [63, 132, 322, 392], "mari": [63, 94, 111, 119, 155, 322, 352, 370, 378, 415], "he": [63, 86, 88, 98, 132, 191, 256, 322, 345, 347, 356, 392, 451, 517], "borrow": [63, 322], "book": [63, 87, 166, 183, 253, 322, 346, 425, 442, 513], "her": [63, 143, 322, 403], "link": [63, 240, 322, 501], "ontonot": [63, 322], "corefresolut": [63, 322], "spanbert_base_coref": [63, 322], "genr": [63, 322], "One": [63, 104, 125, 162, 191, 194, 322, 363, 385, 421, 451, 454], "bc": [63, 322], "broadcast": [63, 322], "convers": [63, 322], "bn": [63, 322], "nw": [63, 322], "wire": [63, 322], "pt": [63, 322], "pivot": [63, 114, 322, 373], "testament": [63, 322], "tc": [63, 322], "telephon": [63, 322], "wb": [63, 322], "mz": 63, "getcandidatelabel": [64, 66, 324], "croppct": [64, 67, 325], "dorescal": [64, 67, 78, 79, 214, 221, 325, 337, 338, 481], "rescalefactor": [64, 67, 78, 79, 214, 221, 325, 337, 338, 481], "setcroppct": [64, 67, 325], "setdorescal": [64, 67, 214, 221, 325, 481], "setrescalefactor": [64, 67, 214, 221, 325, 481], "ignoretokenid": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439], "setbeams": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 168, 169, 172, 176, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 428, 429, 432, 436, 481], "setdosampl": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 338, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "setignoretokenid": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439], "setmaxoutputlength": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "setminoutputlength": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "setnorepeatngrams": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "setrepetitionpenalti": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "settemperatur": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 145, 146, 159, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 406, 419, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "settopk": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 197, 203, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 419, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 462, 481], "settopp": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 145, 146, 159, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 406, 419, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "maxinputlength": [64, 69, 159, 170, 318, 327, 430], "imagegeneratemod": [64, 71, 330], "numofparallelimag": [64, 71, 330], "setimagegeneratemod": [64, 71, 330], "setnumofparallelimag": [64, 71, 330], "doimagesplit": [64, 77, 336], "imagetoken": [64, 77, 336], "maximages": [64, 77, 336], "numvisiontoken": [64, 77, 336], "paddingconst": [64, 77, 336], "patchsiz": [64, 77, 336], "setdoimagesplit": [64, 77, 336], "setimagetoken": [64, 77, 336], "setmaximages": [64, 77, 336], "setnumvisiontoken": [64, 77, 336], "setpaddingconst": [64, 77, 336], "setpatchs": [64, 77, 336], "setstoptokenid": [64, 77, 159, 164, 168, 176, 336, 423, 428, 436], "stoptokenid": [64, 77, 159, 164, 168, 176, 336, 423, 428, 436], "blip": [65, 323], "visual": [65, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 234, 323, 325, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 494], "vision": [65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 175, 323, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 435], "togeth": [65, 72, 75, 77, 104, 162, 323, 331, 334, 336, 363, 421], "visualqaclassifi": [65, 71, 72, 73, 74, 75, 76, 77, 323, 330, 331, 332, 333, 334, 335, 336], "blip_vqa_bas": [65, 323], "50": [65, 68, 69, 71, 72, 73, 74, 75, 76, 140, 142, 152, 163, 165, 166, 167, 169, 171, 172, 173, 174, 175, 177, 178, 249, 256, 323, 326, 327, 330, 331, 332, 333, 334, 335, 400, 402, 412, 422, 424, 425, 427, 429, 431, 432, 433, 434, 435, 437, 438, 510, 517], "image_df": [65, 68, 70, 71, 72, 73, 74, 75, 76, 102, 323, 326, 329, 330, 331, 332, 333, 334, 335, 360], "sparksessionfortest": [65, 71, 72, 73, 74, 75, 76, 323, 330, 331, 332, 333, 334, 335], "images_path": [65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336], "test_df": [65, 68, 70, 71, 72, 73, 74, 75, 76, 102, 323, 326, 329, 330, 331, 332, 333, 334, 335, 360], "withcolumn": [65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 102, 162, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 360, 421], "lit": [65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 102, 162, 323, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 360, 421], "pictur": [65, 71, 72, 73, 75, 77, 323, 330, 331, 332, 334, 336], "setsiz": [65, 214, 221, 323, 481], "384": [65, 71, 77, 106, 323, 330, 336, 365], "cat_imag": [65, 71, 72, 73, 75, 76, 77, 323, 330, 331, 332, 334, 335, 336], "jpg": [65, 66, 67, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 162, 323, 324, 325, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 421], "cat": [65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 102, 162, 323, 324, 325, 330, 331, 332, 334, 335, 336, 337, 338, 339, 360, 421], "abov": [65, 102, 117, 123, 254, 360, 376, 382, 515], "skip": [65, 100, 116, 123, 183, 358, 375, 382, 442], "blip_vqa_tf": [65, 323], "clip": [66, 162, 324, 421], "contrast": [66, 101, 104, 105, 109, 130, 179, 324, 359, 363, 364, 368, 389, 439], "neural": [66, 80, 93, 94, 98, 140, 155, 163, 170, 318, 324, 339, 351, 352, 356, 400, 415, 422, 430], "network": [66, 80, 93, 94, 103, 140, 155, 324, 339, 351, 352, 361, 400, 415], "abil": [66, 114, 125, 163, 165, 166, 171, 324, 373, 385, 422, 424, 425, 431], "hard": [66, 113, 186, 324, 372, 446], "make": [66, 67, 77, 78, 87, 92, 96, 105, 107, 118, 119, 125, 146, 147, 155, 158, 160, 161, 162, 163, 168, 171, 178, 184, 260, 324, 325, 336, 337, 346, 350, 354, 364, 366, 377, 378, 385, 406, 407, 415, 418, 419, 420, 421, 422, 428, 431, 438, 444, 528, 532], "veri": [66, 79, 80, 96, 103, 118, 119, 120, 158, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 208, 318, 324, 338, 339, 354, 361, 377, 378, 379, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 468, 525, 527, 530, 531], "gpt": [66, 110, 146, 163, 166, 175, 324, 369, 406, 422, 425, 435], "imageclassifi": [66, 67, 78, 79, 80, 324, 325, 337, 338, 339], "zero_shot_classifier_clip_vit_base_patch32": [66, 324], "huggingfac": [66, 67, 71, 73, 76, 77, 78, 79, 80, 96, 102, 174, 175, 176, 324, 325, 330, 332, 335, 336, 337, 338, 339, 354, 360, 434, 435, 436], "librari": [66, 67, 71, 73, 76, 77, 78, 79, 80, 92, 127, 160, 161, 162, 199, 200, 201, 209, 213, 261, 324, 325, 330, 332, 335, 336, 337, 338, 339, 350, 387, 419, 420, 421, 458, 459, 460, 469, 473, 531], "clipforzeroshotclassificationtestspec": [66, 324], "candidatelabel": [66, 214, 221, 324, 481], "imagedf": [66, 67, 69, 77, 78, 79, 80, 324, 325, 327, 336, 337, 338, 339], "dropinvalid": [66, 67, 78, 79, 80, 324, 325, 337, 338, 339], "photo": [66, 324], "bird": [66, 79, 162, 324, 338, 421], "dog": [66, 74, 79, 162, 324, 333, 338, 421], "hen": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "hippo": [66, 67, 78, 80, 162, 324, 325, 337, 339, 421], "room": [66, 79, 162, 210, 324, 338, 421, 470], "tractor": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "ostrich": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "ox": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "pipelinedf": [66, 67, 78, 79, 80, 324, 325, 337, 338, 339], "revers": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "image_nam": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "palac": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "jpeg": [66, 67, 78, 79, 80, 162, 207, 324, 325, 337, 338, 339, 421, 466], "egyptian_cat": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "hippopotamu": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "junco": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "bluetick": [66, 67, 74, 78, 79, 80, 162, 324, 325, 333, 337, 338, 339, 421], "chihuahua": [66, 67, 78, 79, 80, 162, 324, 325, 337, 338, 339, 421], "image_classifier_vit_base_patch16_224": [66, 80, 324, 339], "convnet": [67, 325], "convnext": [67, 325], "2020": [67, 125, 131, 132, 155, 325, 385, 390, 392, 415], "zhuang": [67, 325], "liu": [67, 78, 98, 110, 111, 325, 337, 356, 369, 370], "hanzi": [67, 325], "mao": [67, 325], "chao": [67, 325], "yuan": [67, 325], "wu": [67, 325], "christoph": [67, 325], "feichtenhof": [67, 325], "trevor": [67, 325], "darrel": [67, 325], "sain": [67, 325], "xie": [67, 325], "pure": [67, 77, 80, 170, 318, 325, 336, 339, 430], "inspir": [67, 158, 173, 184, 185, 230, 325, 418, 433, 444, 445, 490], "claim": [67, 325], "outperform": [67, 73, 95, 101, 105, 107, 109, 114, 115, 118, 119, 120, 125, 165, 166, 167, 168, 171, 174, 178, 325, 332, 353, 359, 364, 366, 368, 373, 374, 377, 378, 379, 385, 424, 425, 427, 428, 431, 434, 438], "convnextforimageclassificationtestspec": [67, 325], "roar": [67, 325], "began": [67, 325], "introduct": [67, 325], "vit": [67, 79, 80, 325, 338, 339], "quickli": [67, 146, 325, 406], "supersed": [67, 325], "vanilla": [67, 325], "hand": [67, 191, 325, 451], "face": [67, 114, 325, 373], "difficulti": [67, 325], "detect": [67, 68, 78, 115, 126, 127, 146, 147, 153, 154, 155, 236, 237, 238, 258, 325, 326, 337, 374, 386, 387, 406, 407, 413, 414, 415, 497, 498], "semant": [67, 78, 95, 103, 104, 114, 115, 181, 196, 325, 337, 353, 361, 363, 373, 374, 440, 456], "hierarch": [67, 78, 100, 116, 325, 337, 358, 375], "swin": [67, 78, 325, 337], "reintroduc": [67, 325], "sever": [67, 162, 178, 203, 236, 325, 421, 438, 462, 497, 532], "practic": [67, 96, 163, 171, 179, 325, 354, 422, 431, 439], "viabl": [67, 325], "backbon": [67, 78, 120, 325, 337, 379], "demonstr": [67, 78, 99, 102, 105, 106, 114, 125, 166, 168, 169, 170, 177, 247, 318, 325, 337, 357, 360, 364, 365, 373, 385, 425, 428, 429, 430, 437, 508], "remark": [67, 168, 325, 428], "wide": [67, 87, 93, 94, 98, 99, 101, 118, 119, 163, 167, 178, 325, 346, 351, 352, 356, 357, 359, 377, 378, 422, 427, 438], "varieti": [67, 68, 105, 107, 118, 119, 164, 325, 326, 364, 366, 377, 378, 423, 531], "howev": [67, 91, 107, 112, 114, 120, 125, 144, 167, 169, 172, 241, 325, 349, 366, 371, 373, 379, 385, 404, 427, 429, 432, 502, 525], "effect": [67, 78, 79, 80, 105, 106, 114, 146, 154, 163, 169, 171, 172, 179, 221, 325, 337, 338, 339, 364, 365, 373, 406, 414, 422, 429, 431, 432, 439, 481], "hybrid": [67, 325], "still": [67, 166, 234, 325, 425, 494], "credit": [67, 325], "superior": [67, 168, 171, 177, 325, 428, 431, 437], "inher": [67, 325], "induct": [67, 99, 325, 357], "bias": [67, 99, 173, 174, 325, 357, 433, 434], "reexamin": [67, 325], "space": [67, 100, 114, 116, 117, 135, 162, 181, 213, 325, 358, 373, 375, 376, 395, 421, 440, 473], "achiev": [67, 95, 98, 101, 104, 105, 106, 107, 110, 111, 118, 119, 120, 140, 163, 165, 166, 167, 170, 172, 175, 179, 208, 318, 325, 353, 356, 359, 363, 364, 365, 366, 369, 370, 377, 378, 379, 400, 422, 424, 425, 427, 430, 432, 435, 439, 468, 530], "gradual": [67, 325], "modern": [67, 325], "resnet": [67, 325], "toward": [67, 162, 166, 172, 325, 421, 425, 432], "discov": [67, 325, 523], "compon": [67, 80, 114, 198, 207, 249, 325, 339, 373, 408, 409, 457, 466, 476, 481, 492, 498, 510, 530], "contribut": [67, 167, 174, 325, 427, 434], "along": [67, 95, 123, 207, 325, 353, 382, 466], "wai": [67, 84, 85, 122, 123, 173, 174, 175, 177, 211, 240, 249, 325, 342, 344, 380, 382, 433, 434, 435, 437, 471, 501, 510], "outcom": [67, 325], "explor": [67, 114, 163, 169, 174, 179, 325, 373, 422, 429, 434, 439], "famili": [67, 69, 87, 95, 101, 167, 168, 175, 325, 327, 346, 353, 359, 427, 428, 435], "dub": [67, 118, 119, 325, 377, 378], "construct": [67, 100, 116, 193, 240, 325, 348, 358, 375, 453, 501, 529], "compet": [67, 325], "favor": [67, 325], "term": [67, 125, 325, 385], "scalabl": [67, 113, 325, 372], "87": [67, 78, 325, 337], "imagenet": [67, 78, 80, 325, 337, 339], "coco": [67, 78, 325, 337], "ade20k": [67, 78, 325, 337], "while": [67, 70, 71, 77, 78, 80, 91, 99, 104, 106, 117, 125, 146, 150, 162, 166, 169, 172, 203, 234, 249, 325, 329, 330, 336, 337, 339, 349, 357, 363, 365, 376, 385, 406, 409, 421, 425, 429, 432, 462, 494, 510, 522, 527], "maintain": [67, 70, 77, 106, 249, 325, 329, 336, 365, 510], "simplic": [67, 163, 325, 422], "effici": [67, 77, 78, 98, 100, 106, 113, 115, 116, 168, 170, 171, 178, 318, 325, 336, 337, 356, 358, 365, 372, 374, 375, 428, 430, 431, 438, 525], "dores": [67, 78, 79, 80, 214, 221, 325, 337, 338, 339, 481], "resiz": [67, 78, 79, 80, 221, 325, 337, 338, 339, 481], "certain": [67, 78, 79, 80, 183, 221, 325, 337, 338, 339, 442, 481], "donorm": [67, 78, 79, 80, 214, 221, 325, 337, 338, 339, 481], "deviat": [67, 78, 79, 80, 221, 325, 337, 338, 339, 481], "featureextractortyp": [67, 78, 79, 80, 214, 221, 325, 337, 338, 339, 481], "architectur": [67, 70, 71, 77, 78, 79, 80, 91, 93, 94, 98, 110, 127, 140, 155, 163, 172, 173, 177, 179, 221, 325, 329, 330, 336, 337, 338, 339, 349, 351, 352, 356, 369, 387, 400, 415, 422, 432, 433, 437, 439, 481], "featur": [67, 69, 70, 76, 78, 79, 80, 84, 100, 108, 113, 114, 116, 125, 135, 139, 150, 158, 162, 171, 181, 221, 234, 238, 325, 327, 329, 335, 337, 338, 339, 342, 358, 367, 372, 373, 375, 385, 395, 399, 409, 421, 431, 440, 481, 494, 499, 529], "imagemean": [67, 78, 79, 80, 214, 221, 325, 337, 338, 339, 481], "imagestd": [67, 78, 79, 80, 214, 221, 325, 337, 338, 339, 481], "resampl": [67, 78, 79, 80, 214, 221, 325, 337, 338, 339, 481], "pil": [67, 78, 79, 80, 221, 325, 337, 338, 339, 481], "nearest": [67, 78, 79, 80, 181, 221, 325, 337, 338, 339, 440, 481], "bilinear": [67, 78, 79, 80, 221, 325, 337, 338, 339, 481], "bicub": [67, 78, 79, 80, 221, 325, 337, 338, 339, 481], "do_res": [67, 78, 79, 80, 221, 325, 337, 338, 339, 481], "tupl": [67, 78, 79, 80, 210, 221, 232, 325, 337, 338, 339, 470, 481, 493], "rescal": [67, 78, 79, 221, 325, 337, 338, 481], "factor": [67, 78, 79, 92, 118, 119, 120, 160, 161, 162, 163, 179, 183, 221, 325, 337, 338, 350, 377, 378, 379, 419, 420, 421, 422, 439, 442, 481], "percentag": [67, 117, 183, 196, 325, 376, 442, 456, 478], "crop": [67, 325], "tabbi": [67, 78, 325, 337], "river": [67, 78, 80, 325, 337, 339], "hors": [67, 78, 80, 161, 203, 325, 337, 339, 420, 462], "amphibiu": [67, 78, 80, 325, 337, 339], "snowbird": [67, 78, 80, 325, 337, 339], "struthio": [67, 78, 80, 325, 337, 339], "camelu": [67, 78, 80, 325, 337, 339], "thresher": [67, 325], "thrasher": [67, 325], "thresh": [67, 325], "image_classifier_convnext_tiny_224_loc": [67, 325], "determin": [67, 118, 210, 221, 237, 325, 348, 377, 470, 481], "smaller": [67, 88, 99, 100, 106, 113, 116, 325, 347, 357, 358, 365, 372, 375], "224": [67, 325], "256": [67, 162, 325, 421], "edg": [67, 99, 123, 165, 168, 325, 357, 382, 424, 428], "afterward": [67, 325], "boolean": [67, 131, 221, 325, 390, 481], "255": [67, 221, 325, 481], "florenc": [68, 326], "prompt": [68, 92, 146, 160, 161, 162, 175, 210, 221, 247, 249, 326, 350, 406, 419, 420, 421, 435, 470, 481, 508, 510], "caption": [68, 73, 79, 162, 326, 332, 338, 421], "ocr": [68, 326], "describ": [68, 69, 71, 76, 77, 84, 85, 109, 123, 125, 170, 318, 326, 327, 330, 335, 336, 342, 344, 368, 382, 385, 430], "florence2": [68, 326], "florence2_base_ft_int4": [68, 326], "200": [68, 86, 163, 172, 179, 326, 345, 422, 432, 439], "od": [68, 326], "use_openvino": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 93, 94, 101, 102, 106, 109, 110, 118, 164, 165, 167, 168, 169, 171, 172, 174, 175, 176, 177, 178, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 351, 352, 359, 360, 365, 368, 369, 377, 423, 424, 427, 428, 429, 431, 432, 434, 435, 436, 437, 438], "gram": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 95, 100, 101, 109, 116, 125, 135, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 353, 358, 359, 368, 375, 385, 395, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "cumul": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "gemma": [69, 327], "merger": [69, 70, 74, 327, 329, 333], "merg": [69, 70, 74, 123, 130, 134, 236, 237, 327, 329, 333, 382, 389, 394, 497, 498], "lightweight": [69, 77, 106, 175, 327, 336, 365, 435], "open": [69, 73, 77, 109, 113, 127, 164, 165, 167, 168, 169, 173, 174, 175, 176, 177, 178, 193, 199, 200, 201, 209, 213, 327, 332, 336, 368, 372, 387, 423, 424, 427, 428, 429, 433, 434, 435, 436, 437, 438, 453, 458, 459, 460, 469, 473, 523], "googl": [69, 91, 93, 94, 98, 100, 103, 110, 111, 115, 116, 125, 179, 238, 253, 327, 349, 351, 352, 356, 358, 361, 369, 370, 374, 375, 385, 439, 499, 513], "research": [69, 91, 93, 94, 98, 100, 116, 164, 170, 172, 173, 174, 176, 179, 318, 327, 349, 351, 352, 356, 358, 375, 423, 430, 432, 433, 434, 436, 439], "technologi": [69, 125, 327, 385], "gemini": [69, 327], "128k": [69, 175, 327, 435], "window": [69, 70, 78, 79, 100, 105, 115, 116, 125, 140, 171, 177, 183, 327, 329, 337, 338, 358, 364, 375, 385, 400, 431, 437, 442], "140": [69, 127, 327, 387], "multimod": [69, 70, 71, 73, 76, 77, 102, 160, 162, 165, 207, 259, 327, 329, 330, 332, 335, 336, 360, 419, 421, 424, 466, 520], "both": [69, 70, 81, 93, 94, 101, 103, 109, 115, 123, 146, 163, 168, 171, 173, 175, 177, 327, 329, 340, 351, 352, 359, 361, 368, 374, 382, 406, 422, 428, 431, 433, 435, 437, 526, 527], "optim": [69, 70, 73, 81, 92, 95, 100, 110, 111, 113, 114, 116, 140, 143, 155, 160, 161, 162, 164, 167, 168, 174, 175, 221, 327, 329, 332, 340, 350, 353, 358, 369, 370, 372, 373, 375, 400, 403, 415, 419, 420, 421, 423, 427, 428, 434, 435, 481], "deploy": [69, 70, 327, 329], "laptop": [69, 327], "desktop": [69, 87, 327, 346], "cloud": [69, 125, 327, 385], "visualqa": [69, 70, 77, 327, 329, 336], "gemma3_4b_it_int4": [69, 327], "9": [69, 98, 118, 119, 135, 147, 160, 165, 169, 175, 176, 327, 356, 377, 378, 395, 407, 419, 424, 429, 435, 436, 525, 530, 531], "testdf": [69, 77, 327, 336], "bo": [69, 160, 161, 162, 327, 419, 420, 421], "start_of_turn": [69, 327], "nyou": [69, 76, 88, 210, 327, 335, 347, 470], "assist": [69, 70, 72, 73, 75, 76, 102, 164, 168, 176, 178, 210, 226, 327, 329, 331, 332, 334, 335, 360, 423, 428, 436, 438, 470, 486], "start_of_imag": [69, 327], "end_of_turn": [69, 327], "http": [69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 95, 96, 98, 100, 102, 103, 104, 109, 115, 116, 146, 147, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 196, 221, 236, 238, 250, 349, 353, 354, 356, 358, 360, 361, 363, 368, 374, 375, 406, 407, 422, 424, 434, 435, 436, 437, 456, 497, 499, 511, 523], "arxiv": [69, 70, 71, 72, 73, 74, 75, 76, 77, 105, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 364, 422, 436], "pdf": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 236, 237, 238, 243, 245, 246, 249, 250, 497, 498, 499, 506, 507, 510, 511], "1909": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221], "05858": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221], "__": [69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 141, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 201, 202, 221, 346, 401, 422, 460, 461], "ctrl": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 327, 329, 330, 331, 332, 333, 334, 335, 336, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "condit": [69, 70, 71, 72, 73, 74, 75, 76, 77, 93, 94, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 221, 327, 329, 330, 331, 332, 333, 334, 335, 336, 351, 352, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 481], "control": [69, 70, 71, 72, 73, 74, 75, 76, 77, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 221, 318, 327, 329, 330, 331, 332, 333, 334, 335, 336, 406, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 481], "internvl": [70, 329], "advanc": [70, 95, 127, 168, 171, 176, 177, 178, 199, 210, 213, 329, 353, 387, 428, 431, 436, 437, 438, 458, 470, 473], "mllm": [70, 329], "seri": [70, 165, 173, 177, 329, 424, 433, 437], "build": [70, 98, 99, 110, 111, 123, 125, 130, 166, 167, 169, 173, 174, 178, 234, 246, 249, 260, 329, 356, 357, 369, 370, 382, 385, 389, 425, 427, 429, 433, 434, 438, 494, 507, 510, 522], "core": [70, 81, 114, 329, 340, 373], "introduc": [70, 93, 94, 95, 99, 103, 104, 105, 107, 114, 163, 167, 168, 171, 175, 177, 178, 179, 329, 351, 352, 353, 357, 361, 363, 364, 366, 373, 422, 427, 428, 431, 435, 437, 438, 439], "signific": [70, 110, 111, 118, 119, 125, 128, 167, 177, 329, 369, 370, 377, 378, 385, 388, 427, 437], "enhanc": [70, 71, 98, 158, 163, 168, 171, 174, 329, 330, 356, 418, 422, 428, 431, 434], "strategi": [70, 92, 97, 108, 112, 113, 114, 129, 131, 133, 154, 160, 161, 162, 183, 220, 221, 237, 249, 329, 350, 355, 367, 371, 372, 373, 390, 393, 414, 419, 420, 421, 442, 480, 481, 510], "int4": [70, 329], "quantiz": [70, 329], "internvl2_5_1b_int4": [70, 329], "larger": [70, 71, 73, 77, 79, 92, 95, 96, 99, 110, 111, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 181, 318, 329, 330, 332, 336, 338, 350, 353, 354, 357, 369, 370, 419, 420, 421, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 440], "im_start": [70, 76, 77, 329, 335, 336], "ndescrib": [70, 74, 329, 333], "im_end": [70, 76, 329, 335], "janu": [71, 330], "alongsid": [71, 73, 178, 237, 238, 330, 332, 438], "novel": [71, 98, 107, 114, 120, 125, 163, 172, 330, 356, 366, 373, 379, 385, 422, 432], "autoregress": [71, 120, 330, 379], "unifi": [71, 163, 179, 236, 249, 330, 422, 439, 497, 510], "understand": [71, 93, 94, 99, 107, 118, 120, 125, 163, 168, 174, 175, 178, 179, 196, 330, 351, 352, 357, 366, 377, 379, 385, 422, 428, 434, 435, 438, 439, 456, 525], "decoupl": [71, 330], "separ": [71, 86, 88, 99, 110, 133, 135, 154, 155, 184, 193, 196, 202, 226, 237, 238, 252, 330, 345, 347, 357, 369, 393, 395, 414, 415, 444, 453, 456, 461, 486, 498, 512, 524], "pathwai": [71, 330], "allevi": [71, 330], "conflict": [71, 330], "role": [71, 210, 330, 470], "surpass": [71, 78, 98, 109, 165, 171, 330, 337, 356, 368, 424, 431], "previou": [71, 78, 104, 107, 118, 119, 166, 168, 172, 177, 217, 330, 337, 363, 366, 377, 378, 425, 428, 432, 437, 526], "exce": [71, 110, 111, 146, 330, 369, 370, 406], "deepseek": [71, 330], "llm": [71, 73, 114, 167, 168, 174, 177, 178, 330, 332, 373, 427, 428, 434, 437, 438], "3b": [71, 178, 330, 438], "approxim": [71, 181, 330, 440], "500b": [71, 330], "emploi": [71, 88, 120, 330, 347, 379], "siglip": [71, 330], "downsampl": [71, 330], "16": [71, 91, 120, 142, 238, 254, 330, 349, 379, 402, 499, 515, 525], "janus_1_3b_int4": [71, 330], "suit": [71, 73, 76, 77, 95, 113, 330, 332, 335, 336, 353, 372], "image_placehold": [71, 330], "nassist": [71, 74, 77, 330, 333, 336], "unusu": [71, 72, 73, 75, 76, 77, 330, 331, 332, 334, 335, 336], "aspect": [71, 72, 73, 75, 77, 171, 330, 331, 332, 334, 336, 431], "presenc": [71, 72, 73, 75, 77, 160, 161, 162, 221, 330, 331, 332, 334, 336, 419, 420, 421, 481], "ly": [71, 72, 73, 75, 76, 77, 162, 330, 331, 332, 334, 335, 336, 421], "pink": [71, 72, 73, 75, 76, 77, 162, 330, 331, 332, 334, 335, 336, 421], "couch": [71, 72, 73, 75, 76, 77, 79, 330, 331, 332, 334, 335, 336, 338], "parallel": [71, 92, 102, 154, 155, 208, 221, 252, 330, 350, 360, 414, 415, 468, 481, 512, 530], "llava": [72, 331], "llava_1_5_7b_hf": [72, 331], "llama": [73, 92, 160, 161, 162, 167, 168, 171, 174, 207, 210, 332, 350, 419, 420, 421, 427, 428, 431, 434, 466, 470], "compris": [73, 146, 332, 406], "11b": [73, 332], "90b": [73, 332], "These": [73, 78, 91, 110, 111, 114, 120, 125, 139, 166, 168, 177, 210, 240, 332, 337, 349, 369, 370, 373, 379, 385, 399, 425, 428, 437, 470, 501, 524], "reason": [73, 86, 88, 146, 164, 171, 174, 175, 176, 178, 332, 345, 347, 406, 423, 431, 434, 435, 436, 438], "proprietari": [73, 113, 173, 177, 332, 372, 433, 437], "industri": [73, 87, 332, 346], "llama_3_2_11b_vision_instruct_int4": [73, 332], "begin_of_text": [73, 332], "start_header_id": [73, 102, 168, 176, 210, 332, 360, 428, 436, 470], "end_header_id": [73, 102, 168, 176, 210, 332, 360, 428, 436, 470], "eot_id": [73, 102, 210, 332, 360, 470], "paligemma": [74, 333], "paligemma_3b_pt_224_int4": [74, 333], "stand": [74, 79, 93, 94, 162, 171, 333, 338, 351, 352, 421, 431], "grassi": [74, 162, 333, 421], "field": [74, 79, 95, 100, 116, 117, 122, 134, 162, 173, 174, 175, 177, 258, 333, 338, 353, 358, 375, 376, 380, 394, 421, 433, 434, 435, 437, 519], "phi_3_vision_128k_instruct": [75, 334], "image_1": [75, 334], "nwhat": [75, 334], "phi3v": [75, 334], "qwen2": [76, 162, 177, 335, 421, 437], "integr": [76, 95, 120, 125, 145, 170, 234, 318, 335, 353, 379, 385, 405, 430, 494, 522, 524], "respons": [76, 146, 155, 167, 168, 174, 178, 335, 406, 415, 427, 428, 434, 438], "queri": [76, 95, 101, 109, 113, 159, 161, 167, 171, 177, 181, 335, 353, 359, 368, 372, 420, 427, 431, 437, 440, 523], "qwen2_vl_2b_instruct_int4": [76, 335], "vision_start": [76, 335], "image_pad": [76, 335], "vision_end": [76, 335], "becaus": [76, 146, 157, 260, 319, 335, 406, 417, 440, 475, 493], "smolvlm": [77, 336], "compact": [77, 336], "arbitrari": [77, 163, 171, 336, 422, 431], "produc": [77, 336, 526], "stori": [77, 336], "ground": [77, 79, 336, 338], "Its": [77, 78, 85, 143, 163, 336, 337, 344, 403, 422], "suitabl": [77, 141, 167, 174, 336, 401, 427, 434], "devic": [77, 99, 336, 357], "strong": [77, 101, 102, 118, 119, 173, 174, 175, 177, 336, 359, 360, 377, 378, 433, 434, 435, 437], "smolvlm_instruct_int4": [77, 336], "49153": [77, 336], "81": [77, 254, 336, 515], "patch": [77, 80, 336, 339], "14": [77, 138, 152, 194, 208, 226, 240, 246, 254, 336, 398, 412, 454, 468, 486, 501, 507, 515], "pad": [77, 255, 336, 516], "constant": [77, 220, 222, 336, 480, 482], "end_of_utter": [77, 336], "openvino": [77, 93, 94, 101, 102, 106, 110, 118, 336, 351, 352, 359, 360, 365, 369, 377], "stop": [77, 125, 139, 145, 146, 160, 161, 162, 164, 168, 176, 179, 187, 221, 242, 258, 336, 385, 399, 406, 419, 420, 421, 423, 428, 436, 439, 447, 481, 503], "termin": [77, 336], "swinimageclassif": [78, 337], "shift": [78, 337], "ze": [78, 337], "yutong": [78, 337], "lin": [78, 337], "yue": [78, 337], "cao": [78, 337], "han": [78, 337], "hu": [78, 337], "yixuan": [78, 337], "zheng": [78, 337], "zhang": [78, 337], "stephen": [78, 337], "bain": [78, 337], "guo": [78, 337], "basic": [78, 125, 154, 210, 260, 337, 385, 414, 470, 525], "whose": [78, 175, 337, 348, 435], "scheme": [78, 110, 163, 337, 369, 422], "bring": [78, 169, 337, 429, 526], "greater": [78, 125, 146, 160, 161, 162, 221, 337, 385, 406, 419, 420, 421, 481], "attent": [78, 80, 92, 98, 105, 106, 146, 160, 161, 162, 167, 171, 177, 221, 337, 339, 350, 356, 364, 365, 406, 419, 420, 421, 427, 431, 437, 481], "non": [78, 165, 169, 174, 193, 196, 246, 249, 337, 424, 429, 434, 453, 456, 507, 510], "overlap": [78, 86, 88, 130, 134, 235, 237, 337, 345, 347, 389, 394, 498], "cross": [78, 118, 119, 142, 337, 377, 378, 402], "connect": [78, 337], "image_classifier_swin_base_patch4_window7_224": [78, 337], "swinforimageclassificationtest": [78, 337], "present": [78, 91, 101, 103, 105, 106, 110, 111, 115, 118, 119, 123, 146, 150, 155, 163, 170, 181, 318, 337, 349, 359, 361, 364, 365, 369, 370, 374, 377, 378, 382, 406, 409, 415, 422, 430, 440], "call": [78, 93, 94, 99, 101, 106, 114, 125, 146, 166, 167, 174, 175, 210, 232, 241, 252, 337, 348, 351, 352, 357, 359, 365, 373, 385, 406, 425, 427, 434, 435, 470, 493, 502, 512, 526, 532], "purpos": [78, 99, 101, 155, 337, 357, 359, 415], "adapt": [78, 177, 337, 437], "aris": [78, 337], "domain": [78, 104, 114, 125, 166, 250, 337, 363, 373, 385, 425, 511], "variat": [78, 337], "high": [78, 92, 113, 114, 115, 118, 119, 160, 161, 162, 163, 169, 170, 172, 175, 178, 221, 318, 337, 350, 372, 373, 374, 377, 378, 419, 420, 421, 422, 429, 430, 432, 435, 438, 481], "variou": [78, 106, 114, 120, 171, 174, 178, 235, 236, 237, 238, 246, 247, 250, 259, 337, 365, 373, 379, 431, 434, 438, 496, 497, 498, 499, 507, 508, 511, 520], "complex": [78, 103, 114, 115, 125, 171, 177, 184, 185, 337, 361, 373, 374, 385, 431, 437, 444, 445], "respect": [78, 98, 117, 139, 140, 141, 175, 254, 337, 348, 356, 376, 399, 400, 401, 435, 515], "broad": [78, 86, 166, 337, 345, 425], "rang": [78, 93, 94, 98, 99, 101, 104, 118, 119, 160, 161, 162, 163, 167, 168, 174, 203, 221, 337, 351, 352, 356, 357, 359, 363, 377, 378, 419, 420, 421, 422, 427, 428, 434, 462, 481], "1k": [78, 337], "dens": [78, 93, 94, 95, 169, 175, 176, 181, 337, 351, 352, 353, 429, 435, 436, 440], "box": [78, 102, 169, 172, 337, 360, 429, 432], "ap": [78, 337], "51": [78, 200, 209, 254, 337, 459, 469, 515], "53": [78, 130, 134, 337, 389, 394], "miou": [78, 337], "val": [78, 337], "margin": [78, 107, 120, 337, 366, 379], "prove": [78, 337], "benefici": [78, 125, 337, 385], "mlp": [78, 337], "visionencoderdecod": [79, 338], "auto": [79, 163, 188, 338, 422, 448], "beit": [79, 338], "deit": [79, 338], "gpt2": [79, 166, 338, 425], "image_captioning_vit_gpt2": [79, 338], "visionencoderdecodertestspec": [79, 338], "nreturnsequ": [79, 214, 221, 338, 481], "computation": [79, 103, 110, 111, 120, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 318, 338, 361, 369, 370, 379, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439], "expens": [79, 103, 110, 111, 120, 157, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 184, 318, 338, 361, 369, 370, 379, 417, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 444], "especi": [79, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 249, 318, 338, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439, 510], "recommend": [79, 92, 103, 120, 146, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 260, 318, 338, 350, 361, 379, 406, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 430, 431, 433, 434, 435, 436, 437, 438, 439], "imagecapt": [79, 338], "fill": [79, 163, 258, 338, 422, 519], "furnitur": [79, 338], "lai": [79, 172, 338, 432], "anoth": [79, 106, 162, 221, 246, 338, 365, 421, 481, 507, 527], "brown": [79, 162, 236, 338, 421, 497], "bear": [79, 236, 338, 497], "bodi": [79, 162, 338, 421], "water": [79, 162, 338, 421], "flock": [79, 338], "chicken": [79, 162, 338, 421], "lush": [79, 338], "green": [79, 162, 338, 421], "small": [79, 80, 87, 91, 92, 96, 99, 100, 109, 116, 128, 152, 160, 161, 162, 172, 174, 175, 178, 208, 221, 237, 254, 338, 339, 346, 349, 350, 354, 357, 358, 368, 375, 388, 412, 419, 420, 421, 432, 434, 435, 438, 468, 481, 515, 530], "wet": [79, 338], "wooden": [79, 338], "floor": [79, 162, 338, 421], "wear": [79, 162, 338, 421], "blue": [79, 338], "sweater": [79, 162, 338, 421], "man": [79, 92, 161, 162, 166, 167, 203, 338, 350, 420, 421, 425, 427, 462], "cow": [79, 338], "altern": [80, 125, 146, 157, 183, 184, 185, 208, 212, 339, 385, 406, 417, 442, 444, 445, 468, 472, 526, 531], "vitimageclassificationtestspec": [80, 339], "becom": [80, 91, 99, 125, 173, 339, 349, 357, 385, 433], "facto": [80, 125, 339, 385], "remain": [80, 87, 91, 99, 125, 249, 258, 339, 346, 349, 357, 385, 510, 519], "conjunct": [80, 339], "overal": [80, 117, 120, 165, 175, 339, 376, 379, 424, 435], "structur": [80, 143, 193, 203, 213, 236, 237, 238, 246, 247, 339, 403, 462, 473, 497, 498, 507, 508, 525], "relianc": [80, 114, 339, 373], "cnn": [80, 127, 140, 155, 339, 387, 400, 415], "necessari": [80, 99, 339, 348, 357, 522, 529], "directli": [80, 81, 141, 169, 172, 208, 234, 241, 339, 340, 401, 429, 432, 468, 494, 502, 522], "mid": [80, 339], "cifar": [80, 339], "vtab": [80, 339], "etc": [80, 97, 101, 104, 106, 107, 165, 177, 201, 213, 238, 339, 355, 359, 363, 365, 366, 424, 437, 460, 473, 499, 522], "attain": [80, 339], "excel": [80, 120, 171, 236, 237, 238, 246, 250, 339, 379, 431, 497, 499, 507, 511], "substanti": [80, 93, 94, 339, 351, 352], "fewer": [80, 91, 104, 181, 339, 349, 363, 440], "worth": [80, 339], "16x16": [80, 339], "egyptian": [80, 339], "repartit": [81, 340], "cach": [81, 92, 117, 160, 161, 162, 163, 179, 181, 221, 241, 340, 350, 376, 419, 420, 421, 422, 439, 440, 481, 502], "persist": [81, 178, 252, 340, 438, 512], "disk": [81, 117, 340, 376, 526, 527], "intend": [81, 211, 340, 471], "prepar": [81, 146, 198, 200, 207, 209, 340, 406, 457, 459, 466, 469], "export": [81, 340], "indirectli": [81, 340], "json": [81, 122, 146, 210, 212, 234, 237, 256, 340, 380, 406, 470, 472, 494, 517], "writer": [81, 340], "executor": [81, 146, 147, 340, 406, 407], "node": [81, 123, 214, 218, 221, 340, 382, 477, 481], "overrid": [81, 160, 161, 162, 221, 232, 236, 340, 348, 419, 420, 421, 481, 493, 497], "worker": [81, 84, 85, 340, 342, 344], "dataframewrit": [81, 340], "compress": [81, 92, 106, 160, 161, 162, 221, 340, 350, 365, 419, 420, 421, 481], "snappi": [81, 340], "preserv": [81, 99, 138, 192, 203, 213, 249, 340, 357, 398, 452, 462, 473, 510], "modifi": [81, 84, 85, 110, 111, 138, 146, 155, 340, 342, 344, 369, 370, 398, 406, 415], "optimized_df": [81, 340], "input_df": [81, 340], "total": [81, 92, 155, 162, 196, 340, 350, 415, 421, 456, 478], "kwarg": [81, 211, 236, 340, 471, 497], "date_chunk": [82, 341], "omicron": [82, 341], "covid": [82, 341], "world": [82, 86, 87, 88, 108, 113, 114, 171, 173, 174, 175, 177, 190, 234, 256, 341, 345, 346, 347, 367, 372, 373, 431, 433, 434, 435, 437, 449, 494, 517, 522], "health": [82, 341], "organ": [82, 125, 170, 210, 318, 341, 385, 430, 470], "nov": [82, 131, 132, 254, 341, 390, 392, 515], "26": [82, 138, 208, 210, 226, 240, 249, 256, 341, 398, 468, 470, 486, 501, 510, 517], "2021": [82, 131, 132, 341, 390, 392], "118": [82, 212, 341, 472], "121": [82, 341], "01": [82, 131, 132, 133, 341, 390, 392, 393], "dependencytreebank": [83, 84, 342], "numberofiter": [83, 84, 85, 342, 344], "setconllu": [83, 84, 85, 342, 344], "setdependencytreebank": [83, 84, 342], "setnumberofiter": [83, 84, 85, 342, 344], "conll2009": [83, 85, 344], "setconll2009": [83, 85, 344], "conllformat": [83, 85, 344], "traindependencypip": [83, 85, 344], "trainopt": [83, 85, 344], "trainparamet": [83, 85, 344], "dependencypars": [84, 85, 123, 342, 344, 382], "unlabel": [84, 93, 94, 95, 163, 166, 179, 342, 351, 352, 353, 422, 425, 439], "grammat": [84, 85, 342, 344], "inform": [84, 85, 104, 107, 117, 118, 125, 131, 138, 160, 161, 162, 163, 183, 200, 203, 209, 250, 255, 261, 342, 344, 363, 366, 376, 377, 385, 390, 398, 419, 420, 421, 422, 442, 459, 462, 469, 511, 516, 522, 523, 524, 525, 526, 532], "relationship": [84, 85, 115, 123, 342, 344, 374, 382], "tell": [84, 85, 125, 226, 342, 344, 385, 486], "verb": [84, 85, 253, 342, 344, 513], "particular": [84, 85, 125, 241, 342, 344, 385, 502, 526], "treebank": [84, 342], "penn": [84, 342], "converg": [84, 85, 152, 196, 342, 344, 412, 456], "better": [84, 85, 91, 98, 102, 107, 120, 125, 139, 152, 154, 155, 158, 163, 165, 167, 196, 342, 344, 349, 356, 360, 366, 379, 385, 399, 412, 414, 415, 418, 422, 424, 427, 456], "postagg": [84, 85, 123, 139, 152, 342, 344, 382, 399, 412], "dependency_treebank": [84, 342], "emptydataset": [84, 85, 342, 344], "tree": [84, 123, 342, 382], "bank": [84, 342], "dep": [84, 342], "dependency_conllu": [84, 123, 342, 382], "typeddependencyparsermdoel": [84, 342], "union": [84, 85, 342, 344], "turner": [84, 85, 342, 344], "newal": [84, 85, 342, 344], "sai": [84, 85, 125, 193, 342, 344, 385, 453], "disappoint": [84, 85, 342, 344], "talk": [84, 85, 146, 342, 344, 406], "stricken": [84, 85, 342, 344], "firm": [84, 85, 342, 344], "feder": [84, 85, 342, 344], "mogul": [84, 85, 342, 344], "typeddependencypars": [85, 123, 344, 382], "beforehand": [85, 344], "2009": [85, 344], "dependency_typ": [85, 123, 344, 382], "train_smal": [85, 344], "txt": [85, 86, 88, 100, 116, 117, 128, 130, 133, 134, 152, 155, 157, 183, 184, 185, 190, 193, 236, 243, 250, 254, 255, 344, 345, 347, 358, 375, 376, 388, 389, 393, 394, 412, 415, 417, 442, 444, 445, 449, 453, 497, 511, 515, 516, 532], "typdep": [85, 344], "dependency_typed_conllu": [85, 123, 344, 382], "amod": [85, 344], "flat": [85, 123, 204, 344, 382, 463], "nsubj": [85, 123, 204, 253, 344, 382, 463, 513], "parataxi": [85, 344], "pipe": 85, "roughli": [86, 345], "subtext": [86, 345], "perfect": [86, 88, 345, 347], "observ": [86, 88, 115, 345, 347, 374], "seen": [86, 88, 163, 345, 347, 422], "addition": [86, 88, 120, 140, 152, 171, 177, 200, 209, 240, 345, 347, 379, 400, 412, 431, 437, 459, 469, 501], "trim": [86, 88, 210, 345, 347, 470], "individu": [86, 88, 125, 183, 237, 345, 347, 348, 385, 442, 498], "documentcharactertextsplittertest": [86, 345], "decreas": [86, 146, 181, 345, 406, 440], "prioriti": [86, 184, 193, 249, 345, 444, 453, 510], "textdf": [86, 88, 102, 345, 347, 360], "sherlockholm": [86, 88, 100, 116, 183, 345, 347, 358, 375, 442, 532], "wholetext": [86, 88, 345, 347], "textsplitt": [86, 88, 345, 347], "20000": [86, 345], "80": [86, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 133, 201, 213, 345, 347, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 393, 460, 473], "project": [86, 88, 125, 160, 170, 173, 178, 181, 234, 261, 318, 345, 347, 385, 419, 430, 433, 438, 440, 494, 523], "gutenberg": [86, 88, 345, 347], "adventur": [86, 88, 345, 347], "sherlock": [86, 88, 183, 345, 347, 442], "holm": [86, 88, 183, 345, 347, 442], "arthur": [86, 88, 345, 347], "conan": [86, 88, 345, 347], "doyl": [86, 88, 345, 347], "19994": [86, 345], "And": [86, 345], "mademoisel": [86, 345], "ask": [86, 164, 250, 345, 423, 511], "brioni": [86, 345], "lodg": [86, 345], "serpentin": [86, 345], "aven": [86, 345], "19798": [86, 345], "39395": [86, 345], "19597": [86, 345], "did": [86, 125, 171, 177, 345, 385, 431, 437], "woman": [86, 345], "think": [86, 345], "39371": [86, 345], "59242": [86, 345], "19871": [86, 345], "But": [86, 88, 95, 101, 109, 345, 347, 353, 359, 368], "said": [86, 88, 345, 347], "million": [86, 109, 125, 142, 166, 345, 368, 385, 402, 425], "red": [86, 162, 345, 421], "men": [86, 345], "nwould": [86, 345], "59166": [86, 345], "77833": [86, 345], "18667": [86, 345], "friend": [86, 345], "enthusiast": [86, 345], "musician": [86, 345], "being": [86, 99, 106, 140, 146, 150, 163, 167, 170, 175, 179, 181, 318, 345, 357, 365, 400, 406, 409, 422, 427, 430, 435, 439, 440], "himself": [86, 345], "nveri": [86, 345], "capab": [86, 345], "77835": [86, 345], "97769": [86, 345], "19934": [86, 345], "yet": [86, 241, 345, 502], "convinc": [86, 345], "ncome": [86, 345], "li": [86, 175, 345, 435], "97771": [86, 345], "117248": [86, 345], "19477": [86, 345], "she": [86, 191, 345, 451], "had": [86, 125, 146, 345, 385, 406], "slate": [86, 345], "colour": [86, 345], "brim": [86, 345], "straw": [86, 345], "hat": [86, 345], "nfeather": [86, 345], "117250": [86, 345], "137242": [86, 345], "19992": [86, 345], "That": [86, 125, 191, 234, 345, 385, 451, 494, 522, 527], "littl": [86, 155, 345, 415, 531], "paradox": [86, 345], "profoundli": [86, 345], "singulari": [86, 345], "137244": [86, 345], "157171": [86, 345], "19927": [86, 345], "raw": [87, 162, 166, 191, 193, 196, 207, 236, 237, 238, 346, 421, 425, 451, 453, 456, 466, 497, 498, 525, 527], "scrape": [87, 346], "page": [87, 166, 173, 236, 237, 238, 240, 245, 261, 346, 425, 433, 497, 498, 501, 506, 521, 529, 531], "xml": [87, 243, 250, 346, 511], "dirti": [87, 144, 346, 404], "want": [87, 88, 122, 142, 241, 346, 347, 380, 402, 502, 527], "pretty_al": [87, 346], "normalizeddocu": [87, 346], "div": [87, 346], "theworldsgreatest": [87, 346], "right": [87, 93, 94, 163, 196, 210, 346, 351, 352, 422, 456, 470], "hide": [87, 346], "toptext": [87, 346], "style": [87, 127, 179, 346, 387, 439], "font": [87, 236, 237, 238, 346, 497, 498], "sego": [87, 346], "ui": [87, 346], "arial": [87, 346], "san": [87, 125, 346, 385], "serif": [87, 346], "largest": [87, 125, 166, 346, 385, 425], "develop": [87, 125, 167, 168, 170, 172, 173, 174, 176, 177, 178, 227, 318, 346, 385, 427, 428, 430, 432, 433, 434, 436, 437, 438, 491], "site": [87, 125, 165, 346, 385, 424], "h1": [87, 346], "300": [87, 346], "160": [87, 346], "lorem": [87, 130, 134, 346, 389, 394], "ipsum": [87, 130, 134, 346, 389, 394], "typeset": [87, 346], "been": [87, 96, 166, 167, 168, 174, 194, 213, 241, 346, 354, 425, 427, 428, 434, 454, 473, 502], "1500": [87, 346], "unknown": [87, 88, 127, 346, 347, 387], "printer": [87, 346], "took": [87, 172, 346, 432], "gallei": [87, 346], "scrambl": [87, 346], "specimen": [87, 346], "surviv": [87, 346], "five": [87, 142, 162, 346, 402, 421], "centuri": [87, 171, 196, 346, 431, 456], "leap": [87, 346], "electron": [87, 346], "essenti": [87, 166, 173, 346, 425, 433], "unchang": [87, 346], "popularis": [87, 346], "1960": [87, 346], "letraset": [87, 346], "sheet": [87, 261, 346], "passag": [87, 95, 101, 109, 161, 346, 353, 359, 368, 420], "recent": [87, 93, 94, 98, 110, 111, 125, 146, 163, 346, 351, 352, 356, 369, 370, 385, 406, 422], "publish": [87, 110, 111, 346, 369, 370], "softwar": [87, 178, 346, 438], "aldu": [87, 346], "pagemak": [87, 346], "measur": [88, 99, 110, 111, 163, 175, 234, 347, 357, 369, 370, 422, 435, 494], "futur": [88, 155, 163, 179, 347, 415, 422, 439], "techniqu": [88, 91, 98, 163, 166, 168, 172, 177, 179, 181, 347, 349, 356, 422, 425, 428, 432, 437, 439, 440], "documenttokensplittertest": [88, 347], "3018": [88, 347], "crime": [88, 347], "occupi": [88, 347], "nimmens": [88, 347], "faculti": [88, 347], "extraordinari": [88, 347], "power": [88, 93, 94, 163, 173, 179, 250, 347, 351, 352, 422, 433, 439, 511], "2950": [88, 347], "5707": [88, 347], "2757": [88, 347], "chang": [88, 104, 221, 230, 347, 348, 363, 481, 490], "cloth": [88, 347], "imagin": [88, 347], "ndeduc": [88, 347], "As": [88, 91, 93, 94, 95, 99, 101, 109, 125, 146, 173, 347, 349, 351, 352, 353, 357, 359, 368, 385, 406, 433], "5659": [88, 347], "8483": [88, 347], "2824": [88, 347], "quarter": [88, 347], "receiv": [88, 161, 254, 347, 420, 515, 532], "Be": [88, 347], "chamber": [88, 347], "nnot": [88, 347], "8427": [88, 347], "11241": [88, 347], "2814": [88, 347], "piti": [88, 347], "nto": [88, 347], "miss": [88, 131, 132, 141, 199, 347, 390, 392, 401, 458], "client": [88, 347], "never": [88, 141, 158, 347, 401, 418, 526], "mind": [88, 172, 347, 432], "him": [88, 132, 347, 392], "11188": [88, 347], "13970": [88, 347], "2782": [88, 347], "person": [88, 122, 253, 347, 380, 513], "me": [88, 132, 168, 347, 392, 428], "wish": [88, 347], "agent": [88, 177, 347, 437], "conf": [88, 347], "13918": [88, 347], "16898": [88, 347], "2980": [88, 347], "letter": [88, 144, 166, 167, 183, 254, 347, 404, 425, 427, 442, 515, 532], "secret": [88, 347], "marriag": [88, 347], "16836": [88, 347], "19744": [88, 347], "2908": [88, 347], "seven": [88, 347], "hundr": [88, 118, 119, 347, 377, 378], "nnote": [88, 347], "nholm": [88, 347], "scribbl": [88, 347], "receipt": [88, 347], "shee": [88, 347], "19683": [88, 347], "22551": [88, 347], "2868": [88, 347], "defragmentationthreshold": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "flashattent": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "getmetadata": [90, 92, 214, 221, 350, 481], "gpusplitmod": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "grpattnn": [90, 92, 160, 161, 162, 350, 419, 420, 421], "grpattnw": [90, 92, 160, 161, 162, 350, 419, 420, 421], "maingpu": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "nbatch": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "nchunk": [90, 92, 160, 162, 350, 419, 421], "nctx": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "ngpulay": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "nsequenc": [90, 92, 160, 162, 350, 419, 421], "nthread": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "nthreadsbatch": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "nubatch": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "nokvoffload": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "numastrategi": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "poolingtyp": [90, 92, 160, 161, 214, 221, 350, 419, 420, 481], "ropefreqbas": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "ropefreqscal": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "ropescalingtyp": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "setdefragmentationthreshold": [90, 92, 214, 221, 350, 481], "setflashattent": [90, 92, 214, 221, 350, 481], "setgpusplitmod": [90, 92, 214, 221, 350, 481], "setgrpattnn": [90, 92, 350], "setgrpattnw": [90, 92, 350], "setmaingpu": [90, 92, 214, 221, 350, 481], "setnbatch": [90, 92, 214, 221, 350, 481], "setnchunk": [90, 92, 350], "setnctx": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "setngpulay": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "setnparallel": [90, 92, 214, 221, 350, 481], "setnsequ": [90, 92, 350], "setnthread": [90, 92, 214, 221, 350, 481], "setnthreadsbatch": [90, 92, 214, 221, 350, 481], "setnubatch": [90, 92, 214, 221, 350, 481], "setnokvoffload": [90, 92, 214, 221, 350, 481], "setnumastrategi": [90, 92, 214, 221, 350, 481], "setpoolingtyp": [90, 92, 214, 221, 350, 481], "setropefreqbas": [90, 92, 214, 221, 350, 481], "setropefreqscal": [90, 92, 214, 221, 350, 481], "setropescalingtyp": [90, 92, 214, 221, 350, 481], "settensorsplit": [90, 92, 350], "setusemlock": [90, 92, 214, 221, 350, 481], "setusemmap": [90, 92, 214, 221, 350, 481], "setyarnattnfactor": [90, 92, 214, 221, 350, 481], "setyarnbetafast": [90, 92, 214, 221, 350, 481], "setyarnbetaslow": [90, 92, 214, 221, 350, 481], "setyarnextfactor": [90, 92, 214, 221, 350, 481], "setyarnorigctx": [90, 92, 214, 221, 350, 481], "tensorsplit": [90, 92, 160, 161, 162, 350, 419, 420, 421], "usemlock": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "usemmap": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "yarnattnfactor": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "yarnbetafast": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "yarnbetaslow": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "yarnextfactor": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "yarnorigctx": [90, 92, 160, 161, 162, 214, 221, 350, 419, 420, 421, 481], "islong": [90, 94, 352], "setislong": [90, 94, 352], "poolingstrategi": [90, 97, 108, 112, 113, 114, 355, 367, 371, 372, 373], "setpoolingstrategi": [90, 97, 108, 112, 113, 114, 355, 367, 371, 372, 373], "setskipoov": [90, 97, 355], "skipoov": [90, 97, 355], "maxit": [90, 100, 116, 358, 375], "mincount": [90, 100, 116, 182, 183, 358, 375, 442], "setmaxit": [90, 100, 116, 358, 375], "setmincount": [90, 100, 116, 182, 183, 358, 375, 442], "setse": [90, 100, 116, 214, 221, 358, 375, 481], "setsteps": [90, 100, 116, 358, 375], "setvectors": [90, 100, 116, 358, 375], "setwindows": [90, 100, 116, 124, 125, 358, 375, 385], "stepsiz": [90, 100, 116, 358, 375], "vectors": [90, 100, 116, 358, 375], "windows": [90, 100, 116, 124, 125, 358, 375, 385], "getvector": [90, 100, 116, 358, 375], "poolinglay": [90, 103, 361], "setpoolinglay": [90, 103, 361], "setinstruct": [90, 104, 363], "loadsp": [90, 115, 374], "setloadsp": [90, 115, 374], "readcaches": [90, 117, 376], "setreadcaches": [90, 117, 376], "setwritebuffers": [90, 117, 376], "writebuffers": [90, 117, 376], "databas": [90, 117, 121, 122, 129, 130, 224, 376, 380, 389, 484], "loadstorag": [90, 117, 121, 122, 129, 130, 214, 224, 376, 380, 389, 484], "overallcoverag": [90, 117, 376], "withcoveragecolumn": [90, 117, 376], "lite": [91, 349], "toyota": [91, 349], "technolog": [91, 349], "institut": [91, 349], "chicago": [91, 349], "offici": [91, 125, 138, 139, 140, 208, 226, 240, 349, 385, 398, 399, 400, 468, 486, 501, 523], "tf": [91, 115, 349, 374], "wrapper": [91, 349, 490], "port": [91, 349], "albert_base_uncas": [91, 349], "albert_bas": [91, 349], "768": [91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 349, 351, 352, 353, 354, 356, 357, 359, 363, 364, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379], "emb": [91, 109, 113, 349, 368, 372], "dim": [91, 92, 160, 161, 162, 221, 349, 350, 419, 420, 421, 481], "12m": [91, 349], "albert_large_uncas": [91, 349], "albert_larg": [91, 349], "1024": [91, 103, 105, 120, 349, 361, 364, 379], "24": [91, 120, 130, 134, 138, 183, 208, 226, 240, 349, 379, 389, 394, 398, 442, 468, 486, 501, 525], "18m": [91, 349], "albert_xlarge_uncas": [91, 349], "albert_xlarg": [91, 349], "2048": [91, 349], "60m": [91, 349], "albert_xxlarge_uncas": [91, 349], "albert_xxlarg": [91, 349], "235m": [91, 349], "sentencepiec": [91, 98, 115, 349, 356, 374], "everi": [91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 140, 158, 170, 183, 200, 209, 211, 221, 318, 349, 351, 352, 353, 354, 356, 357, 359, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 377, 378, 379, 400, 418, 430, 442, 459, 469, 471, 527], "dimens": [91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 141, 214, 221, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 401, 481], "repeat": [91, 146, 160, 161, 162, 221, 349, 406, 419, 420, 421, 481], "footprint": [91, 349], "cost": [91, 171, 183, 184, 349, 431, 442, 444], "FOR": [91, 349], "tfhub": [91, 103, 115, 349, 361, 374], "q": [91, 349], "increas": [91, 92, 95, 101, 109, 117, 125, 146, 160, 161, 162, 163, 166, 169, 181, 184, 185, 221, 349, 350, 353, 359, 368, 376, 385, 406, 419, 420, 421, 422, 425, 429, 440, 444, 481], "downstream": [91, 96, 98, 103, 104, 105, 106, 120, 163, 166, 177, 179, 349, 354, 356, 361, 363, 364, 365, 379, 422, 425, 437, 439], "some": [91, 92, 94, 118, 125, 140, 155, 160, 161, 162, 165, 166, 168, 175, 210, 211, 221, 234, 256, 349, 350, 352, 377, 385, 400, 415, 419, 420, 421, 424, 425, 428, 435, 470, 471, 481, 494, 517, 525, 526, 530, 531], "point": [91, 93, 94, 154, 155, 200, 209, 250, 252, 349, 351, 352, 414, 415, 459, 469, 511, 512], "harder": [91, 349], "tpu": [91, 349], "consumpt": [91, 115, 117, 349, 374, 376], "speed": [91, 139, 165, 170, 171, 318, 349, 399, 424, 430, 431], "devlin": [91, 110, 111, 349, 369, 370], "et": [91, 110, 111, 127, 349, 369, 370, 387], "al": [91, 110, 111, 349, 369, 370], "2019": [91, 96, 98, 110, 111, 118, 119, 163, 349, 354, 356, 369, 370, 377, 378, 422], "comprehens": [91, 95, 114, 163, 165, 166, 168, 171, 177, 178, 349, 353, 373, 422, 424, 425, 428, 431, 437, 438], "empir": [91, 93, 94, 118, 119, 120, 349, 351, 352, 377, 378, 379], "evid": [91, 349], "focus": [91, 113, 125, 146, 162, 177, 178, 349, 372, 385, 406, 421, 437, 438], "inter": [91, 349], "coher": [91, 164, 166, 237, 349, 423, 425], "establish": [91, 349], "glue": [91, 93, 94, 99, 106, 107, 110, 111, 118, 119, 163, 349, 351, 352, 357, 365, 366, 369, 370, 377, 378, 422], "race": [91, 98, 110, 111, 349, 356, 369, 370], "finished_embed": [91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379], "setoutputasvector": [91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 197, 201, 349, 351, 352, 353, 354, 356, 357, 358, 359, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 460], "setcleanannot": [91, 98, 99, 103, 105, 110, 112, 115, 117, 118, 120, 197, 201, 202, 204, 349, 356, 357, 361, 364, 369, 371, 374, 376, 377, 379, 460, 461, 463], "1342473030090332": [91, 98, 349, 356], "3855540752410889": [91, 98, 349, 356], "9818322062492371": [91, 98, 349, 356], "784737348556518": [91, 98, 349, 356], "847029983997345": [91, 98, 349, 356], "047153353691101": [91, 98, 349, 356], "1520637571811676": [91, 98, 349, 356], "6245765686035156": [91, 98, 349, 356], "009860038757324219": [91, 98, 349, 356], "13450059294700623": [91, 98, 349, 356], "707749128341675": [91, 98, 349, 356], "2916892766952": [91, 98, 349, 356], "04192575812339783": [91, 98, 349, 356], "5764210224151611": [91, 98, 349, 356], "3196685314178467": [91, 98, 349, 356], "527840495109": [91, 98, 349, 356], "15583214163780212": [91, 98, 349, 356], "1614152491092682": [91, 98, 349, 356], "28423872590065": [91, 98, 349, 356], "135491415858268": [91, 98, 349, 356], "cpp": [92, 160, 161, 162, 207, 210, 350, 419, 420, 421, 466, 470], "cl": [92, 95, 108, 113, 114, 221, 350, 353, 367, 372, 373, 481], "qwen3_embedding_0": [92, 350], "6b_q8_0_gguf": [92, 350], "autoggufembeddingstest": [92, 350], "notebook": [92, 160, 161, 162, 178, 181, 210, 234, 260, 350, 419, 420, 421, 438, 440, 470, 494, 522], "thread": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481, 494], "logic": [92, 160, 161, 162, 174, 175, 221, 350, 419, 420, 421, 434, 435, 481], "bla": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "physic": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "maxim": [92, 120, 160, 162, 183, 350, 379, 419, 421, 442], "store": [92, 123, 160, 161, 162, 212, 221, 237, 238, 240, 245, 256, 350, 382, 408, 409, 419, 420, 421, 472, 476, 481, 492, 498, 499, 501, 506, 517, 523], "vram": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "across": [92, 103, 160, 161, 162, 166, 167, 168, 171, 177, 181, 221, 350, 361, 419, 420, 421, 425, 427, 428, 431, 437, 440, 481], "main": [92, 122, 160, 161, 162, 181, 193, 221, 261, 350, 380, 419, 420, 421, 440, 453, 481, 525, 529, 532], "scratch": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "tensor": [92, 103, 160, 161, 162, 221, 350, 361, 419, 420, 421, 481], "distribut": [92, 100, 116, 160, 161, 162, 221, 350, 358, 375, 419, 420, 421, 481], "rope": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "frequenc": [92, 146, 158, 160, 161, 162, 183, 184, 185, 196, 221, 350, 406, 418, 419, 420, 421, 442, 444, 445, 456, 481], "ntk": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "awar": [92, 160, 161, 162, 183, 221, 350, 419, 420, 421, 442, 481], "expand": [92, 160, 161, 162, 171, 221, 350, 419, 420, 421, 431, 481], "yarn": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "extrapol": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "mix": [92, 103, 113, 160, 161, 162, 221, 319, 350, 361, 372, 419, 420, 421, 440, 475, 481, 493], "sqrt": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "magnitud": [92, 104, 160, 161, 162, 184, 185, 221, 350, 363, 419, 420, 421, 444, 445, 481], "low": [92, 95, 118, 119, 160, 161, 162, 172, 178, 183, 221, 350, 353, 377, 378, 419, 420, 421, 432, 438, 442, 481], "correct": [92, 118, 160, 161, 162, 183, 184, 185, 196, 221, 350, 377, 419, 420, 421, 442, 444, 445, 456, 481], "beta": [92, 160, 161, 162, 177, 221, 350, 419, 420, 421, 437, 481], "alpha": [92, 160, 161, 162, 165, 183, 221, 350, 419, 420, 421, 424, 442, 481], "kv": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "defragment": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "numa": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "unless": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "unspecifi": [92, 160, 161, 221, 350, 419, 420, 481], "flash": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "pageout": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "mlock": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "ram": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "swap": [92, 160, 161, 162, 184, 221, 350, 419, 420, 421, 444, 481], "disabl": [92, 158, 160, 161, 162, 200, 209, 221, 237, 245, 350, 419, 420, 421, 459, 469, 481, 506], "offload": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "sure": [92, 158, 160, 161, 162, 260, 350, 418, 419, 420, 421], "adjust": [92, 160, 161, 162, 221, 350, 419, 420, 421, 481], "accord": [92, 125, 160, 161, 162, 167, 183, 252, 350, 385, 419, 420, 421, 427, 442, 512], "hardwar": [92, 160, 161, 162, 350, 419, 420, 421], "avoid": [92, 107, 157, 160, 161, 162, 221, 350, 366, 417, 419, 420, 421, 481], "error": [92, 160, 161, 162, 183, 348, 350, 419, 420, 421, 442], "99": [92, 160, 162, 350, 419, 421], "moon": [92, 108, 113, 114, 350, 367, 372, 373], "jupit": [92, 350], "77": [92, 350], "79": [92, 131, 132, 350, 390, 392], "confirm": [92, 350], "satellit": [92, 350], "made": [92, 95, 98, 115, 350, 353, 356, 374, 522], "ones": [92, 162, 350, 421], "034486726": [92, 350], "07770534": [92, 350], "15982522": [92, 350], "017873349": [92, 350], "013914132": [92, 350], "0365736": [92, 350], "nparallel": [92, 221, 350, 481], "alia": [92, 160, 161, 162, 221, 226, 350, 419, 420, 421, 481, 486], "small_bert_l2_768": [93, 351], "unlik": [93, 94, 104, 118, 125, 173, 191, 351, 352, 363, 377, 385, 433, 451], "jointli": [93, 94, 351, 352], "left": [93, 94, 162, 163, 172, 196, 217, 351, 352, 421, 422, 432, 456], "just": [93, 94, 99, 110, 135, 140, 160, 237, 351, 352, 357, 369, 395, 400, 419], "modif": [93, 94, 351, 352], "conceptu": [93, 94, 351, 352], "obtain": [93, 94, 96, 101, 115, 141, 172, 351, 352, 354, 359, 374, 401, 432], "eleven": [93, 94, 351, 352], "push": [93, 94, 258, 351, 352, 519], "absolut": [93, 94, 351, 352], "multinli": [93, 94, 351, 352], "86": [93, 94, 98, 351, 352, 356], "v1": [93, 94, 109, 351, 352, 368], "f1": [93, 94, 118, 119, 140, 166, 351, 352, 377, 378, 400, 425], "93": [93, 94, 351, 352], "83": [93, 94, 98, 254, 255, 351, 352, 356, 515, 516, 532], "small_bert_l2_128": [93, 351], "3497989177703857": [93, 104, 351, 363], "480538547039032": [93, 104, 351, 363], "3238905668258667": [93, 104, 351, 363], "612930893898010": [93, 104, 351, 363], "1357314586639404": [93, 351], "32984697818756104": [93, 351], "6032363176345825": [93, 351], "6791689395904": [93, 351], "8244884014129639": [93, 351], "27088963985443115": [93, 351], "059438943862915": [93, 351], "9817547798156": [93, 351], "1648050546646118": [93, 351], "4725411534309387": [93, 351], "5938255786895752": [93, 351], "5780693292617": [93, 351], "9125322699546814": [93, 351], "4563939869403839": [93, 351], "3975459933280945": [93, 351], "81611204147338": [93, 351], "backend": [93, 94, 101, 106, 110, 118, 210, 351, 352, 359, 365, 369, 377, 470], "sentence_bert_embed": [94, 352], "sent_small_bert_l2_768": [94, 352], "long": [94, 105, 109, 113, 114, 120, 162, 171, 175, 221, 245, 348, 352, 364, 368, 372, 373, 379, 421, 431, 435, 481, 506], "sent_small_bert_l2_128": [94, 352], "orang": [94, 111, 119, 352, 370, 378], "8951074481010437": [94, 111, 119, 352, 370, 378], "13753940165042877": [94, 111, 119, 352, 370, 378], "3108254075050354": [94, 111, 119, 352, 370, 378], "65693199634552": [94, 111, 119, 352, 370, 378], "6180210709571838": [94, 111, 119, 352, 370, 378], "12179657071828842": [94, 111, 119, 352, 370, 378], "191165953874588": [94, 111, 119, 352, 370, 378], "4497021436691": [94, 111, 119, 352, 370, 378], "822715163230896": [94, 111, 119, 352, 370, 378], "7568016648292542": [94, 111, 119, 352, 370, 378], "1165061742067337": [94, 111, 119, 352, 370, 378], "59048593044281": [94, 111, 119, 352, 370, 378], "bge": [95, 353], "baai": [95, 353], "dimension": [95, 115, 141, 353, 374, 401], "retriev": [95, 101, 104, 106, 113, 117, 128, 181, 184, 185, 186, 234, 237, 240, 260, 353, 359, 363, 365, 372, 376, 388, 440, 444, 445, 446, 494, 498, 501, 522, 526, 527], "bge_bas": [95, 353], "c": [95, 96, 100, 116, 125, 170, 196, 260, 318, 353, 354, 358, 375, 385, 430, 456], "pack": [95, 353], "chines": [95, 165, 196, 353, 424, 456], "github": [95, 98, 104, 106, 109, 110, 114, 170, 173, 177, 178, 240, 261, 318, 353, 356, 363, 365, 368, 369, 373, 430, 433, 437, 438, 501], "significantli": [95, 98, 103, 110, 111, 118, 119, 125, 175, 177, 178, 353, 356, 361, 369, 370, 377, 378, 385, 435, 437, 438], "critic": [95, 172, 353, 432], "mteb": [95, 101, 353, 359], "cover": [95, 155, 163, 169, 172, 179, 196, 353, 415, 422, 429, 432, 439, 456, 478], "mtp": [95, 353], "massiv": [95, 169, 353, 429], "curat": [95, 101, 109, 113, 353, 359, 368, 372], "corpora": [95, 107, 125, 130, 353, 366, 385, 389], "tem": [95, 353], "stateof": [95, 353], "meanwhil": [95, 353], "publicli": [95, 98, 118, 119, 175, 353, 356, 377, 378, 435], "flagopen": [95, 353], "flagembed": [95, 353], "useclstoken": [95, 214, 221, 353, 481], "protein": [95, 101, 109, 353, 359, 368], "femal": [95, 101, 109, 353, 359, 368], "eat": [95, 101, 109, 161, 203, 353, 359, 368, 420, 462], "guidelin": [95, 101, 109, 353, 359, 368], "cdc": [95, 101, 109, 353, 359, 368], "women": [95, 101, 109, 353, 359, 368], "70": [95, 101, 104, 109, 167, 168, 174, 353, 359, 363, 368, 427, 428, 434], "46": [95, 101, 109, 256, 353, 359, 368, 517], "dai": [95, 101, 109, 131, 132, 183, 353, 359, 368, 390, 392, 442], "chart": [95, 101, 109, 234, 353, 359, 368, 494, 522], "ll": [95, 101, 109, 196, 353, 359, 368, 456], "marathon": [95, 101, 109, 353, 359, 368], "below": [95, 101, 109, 123, 353, 359, 368, 382, 531], "0190285e": [95, 101, 109, 353, 359, 368], "005974853": [95, 101, 109, 353, 359, 368], "072875895": [95, 101, 109, 353, 359, 368], "007944068": [95, 101, 109, 353, 359, 368], "026059335": [95, 101, 109, 353, 359, 368], "0080": [95, 101, 109, 353, 359, 368], "050514214": [95, 101, 109, 353, 359, 368], "010061974": [95, 101, 109, 353, 359, 368], "04340176": [95, 101, 109, 353, 359, 368], "020937217": [95, 101, 109, 353, 359, 368], "05170225": [95, 101, 109, 353, 359, 368], "01157857": [95, 101, 109, 353, 359, 368], "bge_small_en_v1": [95, 353], "tasti": [96, 354], "french": [96, 125, 170, 187, 318, 354, 385, 430, 447], "loui": [96, 354], "martin": [96, 354], "muller": [96, 354], "pedro": [96, 354], "javier": [96, 354], "ortiz": [96, 354], "su\u00e1rez": [96, 354], "yoann": [96, 354], "dupont": [96, 354], "laurent": [96, 354], "romari": [96, 354], "\u00e9ric": [96, 354], "villemont": [96, 354], "la": [96, 146, 170, 318, 354, 406, 430], "clergeri": [96, 354], "djam\u00e9": [96, 354], "seddah": [96, 354], "beno\u00eet": [96, 354], "sagot": [96, 354], "facebook": [96, 98, 118, 119, 163, 354, 356, 377, 378, 422], "138gb": [96, 354], "camembert_bas": [96, 354], "camembertembeddingstestspec": [96, 354], "co": [96, 102, 125, 174, 175, 176, 354, 360, 385, 434, 435, 436], "now": [96, 141, 155, 208, 260, 354, 401, 415, 468, 527], "ubiquit": [96, 173, 354, 433], "despit": [96, 163, 175, 354, 422, 435], "concaten": [96, 196, 237, 354, 456, 498], "except": [96, 135, 140, 141, 189, 193, 237, 245, 249, 348, 354, 395, 400, 401, 453, 498, 506, 510], "investig": [96, 99, 115, 354, 357, 374], "feasibl": [96, 354], "monolingu": [96, 118, 119, 354, 377, 378], "crawl": [96, 163, 179, 354, 422, 439], "prefer": [96, 123, 175, 204, 354, 382, 435, 463], "wikipedia": [96, 127, 166, 236, 250, 354, 387, 425, 497, 511], "surprisingli": [96, 115, 354, 374], "4gb": [96, 354], "130": [96, 354], "gb": [96, 354], "reach": [96, 125, 166, 196, 354, 385, 425, 456], "four": [96, 155, 162, 194, 196, 354, 415, 421, 454, 456], "un": [96, 127, 354, 387], "08442357927560806": [96, 354], "12863239645957947": [96, 354], "03835778683423996": [96, 354], "200479581952": [96, 354], "048462312668561935": [96, 354], "12637358903884888": [96, 354], "27429091930389404": [96, 354], "07516729831": [96, 354], "02690504491329193": [96, 354], "12104076147079468": [96, 354], "012526623904705048": [96, 354], "031543646007": [96, 354], "05877285450696945": [96, 354], "08773420006036758": [96, 354], "06381352990865707": [96, 354], "122621834278": [96, 354], "aggreg": [97, 112, 181, 355, 371, 440], "sum": [97, 103, 112, 221, 355, 361, 371, 481], "discard": [97, 143, 355, 403], "oov": [97, 355], "55661": [97, 355], "42829502": [97, 355], "86661": [97, 355], "409785": [97, 355], "06316501": [97, 355], "120775": [97, 355], "0732005": [97, 355], "40674996": [97, 355], "22938299": [97, 355], "50597": [97, 355], "288195": [97, 355], "555655": [97, 355], "465145": [97, 355], "140118": [97, 355], "17417": [97, 355], "095253006": [97, 355], "0530925": [97, 355], "218465": [97, 355], "714395": [97, 355], "79860497": [97, 355], "0129999": [97, 355], "139705": [97, 355], "177955": [97, 355], "1887775": [97, 355], "45545": [97, 355], "20030999": [97, 355], "461557": [97, 355], "07891501": [97, 355], "disentangl": [98, 356], "pengcheng": [98, 356], "xiaodong": [98, 356], "jianfeng": [98, 356], "gao": [98, 356], "weizhu": [98, 356], "chen": [98, 110, 111, 356, 369, 370], "2018": [98, 110, 111, 356, 369, 370], "half": [98, 125, 356, 385], "deberta_v3_bas": [98, 356], "microsoft": [98, 101, 107, 109, 170, 174, 175, 176, 318, 356, 359, 366, 368, 430, 434, 435, 436], "www": [98, 236, 238, 250, 356, 497, 499, 511], "blog": [98, 177, 356, 437], "superglu": [98, 356], "progress": [98, 155, 192, 356, 415, 452], "mechan": [98, 105, 356, 364], "weight": [98, 103, 109, 125, 139, 142, 164, 173, 178, 183, 356, 361, 368, 385, 399, 402, 423, 433, 438, 442], "among": [98, 107, 165, 174, 175, 356, 366, 424, 434, 435], "matric": [98, 356], "second": [98, 103, 133, 154, 187, 192, 210, 237, 356, 361, 393, 414, 447, 452, 470, 498, 526], "mnli": [98, 356], "90": [98, 356], "91": [98, 356], "88": [98, 356], "fast": [99, 158, 167, 170, 208, 318, 357, 418, 427, 430, 468, 530], "cheap": [99, 357], "distil": [99, 106, 357, 365], "40": [99, 101, 142, 160, 162, 164, 167, 168, 170, 172, 176, 318, 357, 359, 402, 419, 421, 423, 427, 428, 430, 432, 436], "uncas": [99, 113, 357, 372], "run": [99, 125, 181, 234, 241, 260, 348, 357, 385, 440, 494, 502, 523, 531], "95": [99, 162, 250, 357, 421, 511], "distilbert_base_cas": [99, 357], "doesn": [99, 110, 357, 369], "token_type_id": [99, 110, 357, 369], "indic": [99, 110, 161, 192, 196, 357, 369, 420, 452, 456], "belong": [99, 110, 175, 357, 369, 435], "sep_token": [99, 110, 357, 369], "sep": [99, 357], "position_id": [99, 357], "ad": [99, 103, 146, 161, 183, 203, 210, 237, 238, 250, 357, 361, 406, 420, 442, 462, 470, 511], "though": [99, 125, 357, 385], "let": [99, 146, 191, 260, 357, 406, 451, 526], "know": [99, 170, 211, 318, 357, 430, 471], "cheaper": [99, 357], "lighter": [99, 357], "preval": [99, 357], "constrain": [99, 160, 161, 162, 221, 357, 419, 420, 421, 481], "budget": [99, 357], "counterpart": [99, 357], "leverag": [99, 107, 113, 171, 234, 357, 366, 372, 431, 494, 522], "knowledg": [99, 125, 173, 174, 175, 177, 204, 210, 260, 357, 385, 433, 434, 435, 437, 463, 470], "reduc": [99, 107, 171, 174, 184, 185, 213, 357, 366, 431, 434, 444, 445, 473], "retain": [99, 357], "97": [99, 131, 132, 196, 357, 390, 392, 456], "tripl": [99, 123, 357, 382], "cosin": [99, 114, 357, 373], "distanc": [99, 162, 181, 183, 184, 185, 357, 421, 440, 442, 444, 445], "proof": [99, 357], "concept": [99, 357, 527], "experi": [99, 114, 120, 146, 163, 165, 171, 234, 357, 373, 379, 406, 422, 424, 431, 494, 523], "1127224713563919": [99, 357], "1982710212469101": [99, 357], "5360898375511169": [99, 357], "272536993026733": [99, 357], "35534414649009705": [99, 357], "13215228915214539": [99, 357], "40981462597846985": [99, 357], "14036104083061": [99, 357], "328085333108902": [99, 357], "06269335001707077": [99, 357], "017595693469047546": [99, 357], "024373905733": [99, 357], "15617232024669647": [99, 357], "2967822253704071": [99, 357], "22324979305267334": [99, 357], "04568954557180": [99, 357], "45411425828933716": [99, 357], "01173491682857275": [99, 357], "190129816532135": [99, 357], "1178255230188369": [99, 357], "corpu": [100, 103, 116, 125, 128, 152, 163, 179, 182, 183, 185, 254, 358, 361, 375, 385, 388, 412, 422, 439, 442, 445, 515, 532], "algorithm": [100, 116, 125, 139, 158, 183, 184, 185, 186, 358, 375, 385, 399, 418, 442, 444, 445], "appear": [100, 116, 146, 162, 183, 358, 375, 406, 421, 442], "divid": [100, 116, 358, 375], "1000": [100, 116, 123, 139, 358, 375, 382, 399], "025": [100, 116, 158, 358, 375], "estim": [100, 116, 188, 205, 232, 237, 358, 375, 448, 464, 474, 483, 493, 526], "composition": [100, 116, 358, 375], "numiter": [100, 116, 358, 375], "equal": [100, 116, 358, 375], "doc2vec_gigaword_300": [100, 358], "06222493574023247": [100, 116, 358, 375], "011579325422644615": [100, 116, 358, 375], "009919632226228714": [100, 116, 358, 375], "109361454844": [100, 116, 358, 375], "doc2vec_wiki": [100, 358], "e5": [101, 102, 359, 360], "weakli": [101, 109, 359, 368], "tailor": [101, 104, 172, 359, 363, 432], "e5_smal": [101, 359], "unilm": [101, 109, 359, 368], "manner": [101, 125, 359, 385], "signal": [101, 103, 359, 361], "ccpair": [101, 359], "readili": [101, 359], "conduct": [101, 114, 359, 373], "extens": [101, 114, 171, 178, 230, 359, 373, 431, 438, 490], "56": [101, 254, 359, 515], "beir": [101, 359], "bm25": [101, 359], "baselin": [101, 115, 166, 359, 374, 425], "beat": [101, 359], "exist": [101, 103, 113, 114, 146, 165, 169, 183, 201, 204, 221, 234, 238, 246, 247, 258, 359, 361, 372, 373, 406, 424, 429, 442, 460, 463, 481, 494, 499, 507, 508, 519], "royokong": [102, 360], "bridg": [102, 360], "modal": [102, 360], "gap": [102, 172, 360, 432], "even": [102, 125, 131, 165, 168, 177, 179, 360, 385, 390, 424, 428, 437, 439], "exclus": [102, 146, 177, 360, 406, 437], "yield": [102, 360], "e5v": [102, 360], "e5v_int4": [102, 360], "nsummari": [102, 360], "imageprompt": [102, 360], "textprompt": [102, 360], "sent": [102, 125, 360, 385], "textdesc": [102, 360], "sit": [102, 130, 134, 162, 360, 389, 394, 421], "nullimagedf": [102, 360], "sparkcontext": [102, 360], "engin": [102, 170, 171, 190, 214, 221, 318, 360, 430, 431, 449, 481], "elmo": [103, 361], "billion": [103, 164, 166, 167, 168, 171, 174, 175, 178, 361, 423, 425, 427, 428, 431, 434, 435, 438], "lookup": [103, 117, 120, 130, 160, 161, 162, 184, 185, 224, 361, 376, 379, 389, 419, 420, 421, 444, 445, 484], "word_emb": [103, 361], "shape": [103, 361], "batch_siz": [103, 361], "max_length": [103, 361], "lstm_outputs1": [103, 361], "lstm": [103, 140, 361, 400], "lstm_outputs2": [103, 361], "trainabl": [103, 361], "contextu": [103, 163, 168, 172, 183, 361, 422, 428, 432, 442], "characterist": [103, 237, 361], "syntax": [103, 361], "vari": [103, 146, 177, 361, 406, 437], "linguist": [103, 196, 361, 456], "polysemi": [103, 361], "bilm": [103, 361], "six": [103, 184, 185, 361, 444, 445], "textual": [103, 104, 114, 171, 237, 361, 363, 373, 431, 498], "entail": [103, 361], "expos": [103, 361], "crucial": [103, 113, 114, 361, 372, 373], "semi": [103, 361], "662458181381226e": [103, 361], "2541114091873169": [103, 361], "6275503039360046": [103, 361], "5787073969841": [103, 361], "19154725968837738": [103, 361], "22998669743537903": [103, 361], "2894386649131775": [103, 361], "21524395048618": [103, 361], "10400570929050446": [103, 361], "12288510054349899": [103, 361], "07056470215320587": [103, 361], "246389418840": [103, 361], "49932169914245605": [103, 361], "12706467509269714": [103, 361], "30969417095184326": [103, 361], "2643227577209": [103, 361], "8871506452560425": [103, 361], "20039963722229004": [103, 361], "0601330995559692": [103, 361], "0348707810044": [103, 361], "instructor": [104, 363], "finetun": [104, 105, 120, 177, 363, 364, 379, 437], "financ": [104, 363], "sota": [104, 114, 120, 363, 373, 379], "divers": [104, 115, 163, 166, 168, 178, 179, 249, 363, 374, 422, 425, 428, 438, 439, 510, 523], "medicin": [104, 363], "instructor_bas": [104, 363], "summar": [104, 105, 125, 163, 164, 166, 170, 179, 221, 258, 318, 363, 364, 385, 422, 423, 425, 430, 439, 481], "embedd": [104, 363], "hkunlp": [104, 363], "explain": [104, 234, 363, 494, 522, 529, 531], "special": [104, 141, 161, 177, 183, 196, 363, 401, 420, 437, 442, 456, 488, 527], "330": [104, 363], "mixtur": [104, 172, 177, 363, 432, 437], "66": [104, 142, 363, 402], "unseen": [104, 363], "suggest": [104, 166, 363, 425], "mitig": [104, 114, 363, 373], "io": [104, 177, 363, 437], "dynam": [104, 160, 161, 162, 170, 221, 318, 363, 419, 420, 421, 430, 481], "scalar": [104, 363], "degre": [104, 363], "freedom": [104, 363], "horava": [104, 363], "lifshitz": [104, 363], "graviti": [104, 363], "iz": [105, 364], "beltagi": [105, 364], "matthew": [105, 364], "arman": [105, 364], "cohan": [105, 364], "checkpoint": [105, 173, 364, 433], "mlm": [105, 107, 364, 366], "096": [105, 364], "longformer_base_4096": [105, 364], "unabl": [105, 364], "quadrat": [105, 364], "linearli": [105, 364], "easi": [105, 249, 364, 510], "thousand": [105, 169, 172, 364, 429, 432], "drop": [105, 187, 364, 447], "motiv": [105, 364], "global": [105, 172, 364, 432], "text8": [105, 364], "enwik8": [105, 364], "wikihop": [105, 364], "triviaqa": [105, 364], "led": [105, 110, 111, 125, 364, 369, 370, 385], "found": [105, 117, 125, 184, 191, 199, 252, 364, 376, 385, 444, 451, 458, 512, 529], "18792399764060974": [105, 110, 364, 369], "14591649174690247": [105, 110, 364, 369], "20547787845134735": [105, 110, 364, 369], "1468472778797": [105, 110, 364, 369], "22845706343650818": [105, 110, 364, 369], "18073144555091858": [105, 110, 364, 369], "09725798666477203": [105, 110, 364, 369], "0417917296290": [105, 110, 364, 369], "07037967443466187": [105, 110, 364, 369], "14801117777824402": [105, 110, 364, 369], "03603338822722435": [105, 110, 364, 369], "17893412709": [105, 110, 364, 369], "08734266459941864": [105, 110, 364, 369], "2486150562763214": [105, 110, 364, 369], "009067727252840996": [105, 110, 364, 369], "24408400058": [105, 110, 364, 369], "22409197688102722": [105, 110, 364, 369], "4312366545200348": [105, 110, 364, 369], "1401449590921402": [105, 110, 364, 369], "356410235166549": [105, 110, 364, 369], "minilm": [106, 365], "minilm_l6_v2": [106, 365], "agnost": [106, 365], "3x": [106, 365], "5x": [106, 365], "22x": [106, 365], "12x": [106, 365], "1234567": [106, 365], "2345678": [106, 365], "3456789": [106, 365], "4567890": [106, 365], "5678901": [106, 365], "6789012": [106, 365], "7890123": [106, 365], "adopt": [107, 171, 366, 431], "permut": [107, 120, 366, 379], "inherit": [107, 319, 366, 440, 475, 493], "advantag": [107, 211, 366, 471], "all_mpnet_base_v2": [107, 366], "neglect": [107, 120, 366, 379], "plm": [107, 366], "doe": [107, 118, 125, 138, 141, 169, 170, 172, 208, 211, 241, 366, 377, 385, 398, 401, 429, 430, 432, 468, 471, 502, 527, 530, 531], "full": [107, 109, 120, 177, 178, 236, 237, 238, 366, 368, 379, 437, 438, 497, 526], "thu": [107, 125, 366, 385], "suffer": [107, 120, 366, 379], "discrep": [107, 120, 366, 379], "auxiliari": [107, 366], "160gb": [107, 366], "down": [107, 140, 236, 366, 400, 497, 526, 527], "stream": [107, 146, 160, 161, 162, 165, 221, 366, 406, 419, 420, 421, 424, 481], "experiment": [107, 125, 366, 385], "022502584": [107, 366], "078291744": [107, 366], "023030775": [107, 366], "0051000593": [107, 366], "080340415": [107, 366], "039": [107, 366], "041702367": [107, 366], "0010974605": [107, 366], "015534201": [107, 366], "07092203": [107, 366], "0017729357": [107, 366], "04661": [107, 366], "mxbai": [108, 367], "mxbai_large_v1": [108, 367], "hello": [108, 113, 114, 130, 134, 160, 164, 190, 210, 256, 367, 372, 373, 389, 394, 419, 423, 449, 470, 517], "50387806": [108, 113, 114, 367, 372, 373], "5861606": [108, 113, 114, 367, 372, 373], "35129607": [108, 113, 114, 367, 372, 373], "76046336": [108, 113, 114, 367, 372, 373], "32446072": [108, 113, 114, 367, 372, 373], "117674336": [108, 113, 114, 367, 372, 373], "6660665": [108, 113, 114, 367, 372, 373], "961762": [108, 113, 114, 367, 372, 373], "24854276": [108, 113, 114, 367, 372, 373], "1018044": [108, 113, 114, 367, 372, 373], "6569202": [108, 113, 114, 367, 372, 373], "027635604": [108, 113, 114, 367, 372, 373], "1915": [108, 113, 114, 367, 372, 373], "cls_avg": [108, 113, 114, 367, 372, 373], "avg": [108, 113, 114, 367, 372, 373], "nomic": [109, 368], "8192": [109, 368], "ada": [109, 147, 368, 407], "002": [109, 147, 368, 407], "short": [109, 114, 236, 237, 368, 373, 497], "nomic_embed_v1": [109, 368], "technic": [109, 113, 173, 177, 368, 372, 433, 437], "report": [109, 110, 111, 113, 115, 163, 173, 177, 234, 368, 369, 370, 372, 374, 422, 433, 437, 494, 522], "reproduc": [109, 169, 234, 368, 429, 494, 522, 523], "opendata": [109, 368], "licens": [109, 171, 178, 368, 431, 438], "loader": [109, 368], "235": [109, 368], "replic": [109, 110, 111, 163, 368, 369, 370, 422], "embedtext": [109, 368], "nomicai": [109, 368], "contrastor": [109, 368], "robustli": [110, 111, 143, 369, 370, 403], "yinhan": [110, 111, 369, 370], "myle": [110, 111, 118, 119, 369, 370, 377, 378], "ott": [110, 111, 118, 119, 369, 370, 377, 378], "naman": [110, 111, 118, 119, 369, 370, 377, 378], "goyal": [110, 111, 118, 119, 369, 370, 377, 378], "jingfei": [110, 111, 369, 370], "du": [110, 111, 127, 369, 370, 387], "mandar": [110, 111, 369, 370], "joshi": [110, 111, 369, 370], "danqi": [110, 111, 369, 370], "omer": [110, 111, 369, 370], "levi": [110, 111, 369, 370], "mike": [110, 111, 369, 370], "lewi": [110, 111, 369, 370], "luke": [110, 111, 118, 119, 369, 370, 377, 378], "zettlemoy": [110, 111, 118, 119, 369, 370, 377, 378], "veselin": [110, 111, 118, 119, 369, 370, 377, 378], "stoyanov": [110, 111, 118, 119, 369, 370, 377, 378], "hyperparamet": [110, 111, 369, 370], "mini": [110, 111, 175, 369, 370, 435], "roberta_bas": [110, 369], "bpe": [110, 369], "gain": [110, 111, 118, 119, 163, 169, 369, 370, 377, 378, 422, 429], "care": [110, 111, 193, 369, 370, 453], "comparison": [110, 111, 115, 177, 187, 369, 370, 374, 437, 447], "privat": [110, 111, 369, 370, 488], "impact": [110, 111, 369, 370], "carefulli": [110, 111, 146, 178, 369, 370, 406, 438], "undertrain": [110, 111, 369, 370], "highlight": [110, 111, 369, 370], "previous": [110, 111, 125, 177, 369, 370, 385, 437], "overlook": [110, 111, 369, 370], "rais": [110, 111, 125, 135, 140, 141, 234, 348, 369, 370, 385, 395, 400, 401, 494], "sent_roberta_bas": [111, 370], "embeddingssent": [112, 371], "22093398869037628": [112, 371], "25130119919776917": [112, 371], "41810303926467896": [112, 371], "380883991718": [112, 371], "snowflak": [113, 372], "arctic": [113, 372], "snowflake_artic_m": [113, 372], "accur": [113, 115, 158, 163, 184, 372, 374, 418, 422, 444], "deriv": [113, 185, 372, 445], "400m": [113, 372], "public": [113, 123, 241, 258, 372, 382, 502, 526], "1m": [113, 372], "triplet": [113, 372], "harm": [113, 372], "mine": [113, 169, 172, 372, 429, 432], "shortli": [113, 372], "uae": [114, 373], "satur": [114, 373], "uae_large_v1": [114, 373], "st": [114, 373], "vanish": [114, 373], "gradient": [114, 139, 373, 399], "issu": [114, 196, 261, 373, 456], "idea": [114, 120, 373, 379], "advers": [114, 373], "imped": [114, 373], "hinder": [114, 373], "furthermor": [114, 120, 177, 373, 379, 437], "examin": [114, 373], "scenario": [114, 158, 259, 373, 418, 520], "were": [114, 117, 140, 177, 234, 373, 376, 400, 437, 494, 522], "uae_smal": [114, 373], "tfhub_us": [115, 374], "op": [115, 374], "lingual": [115, 118, 119, 125, 127, 170, 318, 374, 377, 378, 385, 387, 430], "trade": [115, 118, 119, 374, 377, 378], "tend": [115, 374], "With": [115, 120, 125, 178, 374, 379, 385, 438], "minim": [115, 143, 170, 237, 318, 374, 403, 430, 498], "encourag": [115, 168, 374, 428], "weat": [115, 374], "bia": [115, 146, 160, 161, 162, 177, 221, 374, 406, 419, 420, 421, 437, 481], "freeli": [115, 374], "04616805538535118": [115, 374], "022307956591248512": [115, 374], "044395286589860916": [115, 374], "0016493503": [115, 374], "changeabl": 115, "nor": [115, 125, 385], "word2vec_gigaword_300": [116, 375], "word2vec_wiki": [116, 375], "setstoragepath": [117, 130, 214, 224, 376, 389, 484], "line": [117, 122, 130, 134, 146, 155, 157, 183, 236, 237, 240, 245, 250, 252, 254, 376, 380, 389, 394, 406, 415, 417, 442, 497, 501, 511, 512, 515], "39658191506190343": [117, 376], "630968081620067": [117, 376], "5393722253731201": [117, 376], "8428180123359783": [117, 376], "7535235923631415": [117, 376], "9699218875629833": [117, 376], "10397182122983872": [117, 376], "11833962569383116": [117, 376], "stress": [117, 376], "0492683418305907": [117, 376], "9415954572751959": [117, 376], "47624463167525755": [117, 376], "16790967216778263": [117, 376], "induc": [117, 376], "1535748762292387": [117, 376], "33498936903209897": [117, 376], "9235178224122094": [117, 376], "1158772920395934": [117, 376], "dump": [117, 376], "10000": [117, 376], "random_embeddings_dim4": [117, 376], "setstorageref": [117, 214, 224, 376, 484], "glove_4d": [117, 376], "setdimens": [117, 214, 221, 376, 481], "patient": [117, 376], "diagnos": [117, 376], "diabet": [117, 376], "9439099431037903": [117, 376], "4707513153553009": [117, 376], "806300163269043": [117, 376], "16176554560661316": [117, 376], "7966810464859009": [117, 376], "5551124811172485": [117, 376], "8861005902290344": [117, 376], "28284206986427307": [117, 376], "025029370561242104": [117, 376], "35177749395370483": [117, 376], "052506182342767715": [117, 376], "1887107789516449": [117, 376], "08617766946554184": [117, 376], "8399239182472229": [117, 376], "5395117998123169": [117, 376], "7864698767662048": [117, 376], "6599600911140442": [117, 376], "16109347343444824": [117, 376], "6041093468666077": [117, 376], "8913561105728149": [117, 376], "5955275893211365": [117, 376], "01899011991918087": [117, 376], "4397728443145752": [117, 376], "8911281824111938": [117, 376], "9840458631515503": [117, 376], "7599489092826843": [117, 376], "9417727589607239": [117, 376], "8624503016471863": [117, 376], "glove_100d": [117, 140, 376, 400], "There": [117, 122, 123, 162, 191, 376, 380, 382, 421, 451, 524, 526, 527, 532], "conveni": [117, 376], "coverag": [117, 219, 376, 478], "stat": [117, 376], "whole": [117, 141, 173, 224, 240, 376, 401, 433, 484, 501], "570580005645752": [117, 376], "44183000922203064": [117, 376], "7010200023651123": [117, 376], "417129993438720": [117, 376], "542639970779419": [117, 376], "4147599935531616": [117, 376], "0321999788284302": [117, 376], "4024400115013122": [117, 376], "2708599865436554": [117, 376], "04400600120425224": [117, 376], "020260000601410866": [117, 376], "17395000159": [117, 376], "6191999912261963": [117, 376], "14650000631809235": [117, 376], "08592499792575836": [117, 376], "2629800140857": [117, 376], "3397899866104126": [117, 376], "20940999686717987": [117, 376], "46347999572753906": [117, 376], "6479200124740": [117, 376], "storage_ref": [117, 122, 130, 224, 376, 380, 389, 484], "embeddings_col": [117, 376], "coverateresult": [117, 376], "wordsoverallcoverag": [117, 376], "resultdf": [117, 238, 376, 499], "output_col": [117, 376], "wordscoverag": [117, 376], "cov_embed": [117, 376], "alexi": [118, 119, 377, 378], "conneau": [118, 119, 377, 378], "kartikai": [118, 119, 377, 378], "khandelw": [118, 119, 377, 378], "vishrav": [118, 119, 377, 378], "chaudhari": [118, 119, 377, 378], "guillaum": [118, 119, 377, 378], "wenzek": [118, 119, 377, 378], "francisco": [118, 119, 125, 377, 378, 385], "guzman": [118, 377], "edouard": [118, 119, 377, 378], "grave": [118, 119, 377, 378], "5tb": [118, 119, 377, 378], "commoncrawl": [118, 119, 377, 378], "xlm_roberta_bas": [118, 377], "abl": [118, 160, 169, 179, 234, 377, 419, 429, 439, 494, 525], "terabyt": [118, 119, 377, 378], "r": [118, 119, 125, 164, 377, 378, 385, 423], "mbert": [118, 119, 377, 378], "xnli": [118, 119, 377, 378], "mlqa": [118, 119, 377, 378], "particularli": [118, 119, 163, 177, 377, 378, 422, 437], "swahili": [118, 119, 377, 378], "urdu": [118, 119, 377, 378], "capac": [118, 119, 166, 169, 377, 378, 425, 429], "dilut": [118, 119, 377, 378], "sacrif": [118, 119, 377, 378], "ri": [118, 119, 377, 378], "05969233065843582": [118, 377], "030789051204919815": [118, 377], "04443822056055069": [118, 377], "09564960747": [118, 377], "038839809596538544": [118, 377], "011712731793522835": [118, 377], "019954433664679527": [118, 377], "0667808502": [118, 377], "03952755779027939": [118, 377], "03455188870429993": [118, 377], "019103847444057465": [118, 377], "04311436787": [118, 377], "09579929709434509": [118, 377], "02494969218969345": [118, 377], "014753809198737144": [118, 377], "10259044915": [118, 377], "004710011184215546": [118, 377], "022148698568344116": [118, 377], "011723337695002556": [118, 377], "013356896": [118, 377], "guzm\u00e3": [119, 378], "sent_xlm_roberta_bas": [119, 378], "xl": [120, 236, 238, 243, 246, 250, 379, 497, 499, 507, 511], "exhibit": [120, 379], "involv": [120, 155, 173, 379, 415, 433], "rank": [120, 161, 165, 181, 183, 203, 221, 379, 420, 424, 440, 442, 462, 481], "xlnet_large_cas": [120, 379], "xlnet_base_cas": [120, 379], "zihangdai": [120, 379], "denois": [120, 163, 379, 422], "autoencod": [120, 163, 379, 422], "corrupt": [120, 163, 379, 422], "pro": [120, 379], "con": [120, 379], "likelihood": [120, 146, 379, 406], "overcom": [120, 379], "formul": [120, 379], "6287205219268799": [120, 379], "4865287244319916": [120, 379], "186111718416214": [120, 379], "234187275171279": [120, 379], "1967450380325317": [120, 379], "2746637463569641": [120, 379], "9481253027915955": [120, 379], "3431355059146881": [120, 379], "0777631998062134": [120, 379], "092679977416992": [120, 379], "5331977605819702": [120, 379], "11190271377563": [120, 379], "8349916934967041": [120, 379], "45627787709236145": [120, 379], "7890847325325012": [120, 379], "028069257736": [120, 379], "134845569729805": [120, 379], "11672890186309814": [120, 379], "4945235550403595": [120, 379], "66587203741073": [120, 379], "alphabet": [121, 122, 144, 380, 404], "patternsresourc": [121, 122, 380], "sentencematch": [121, 122, 380], "setalphabetresourc": [121, 122, 380], "setpatternsresourc": [121, 122, 380], "setsentencematch": [121, 122, 380], "setusestorag": [121, 122, 380], "usestorag": [121, 122, 380], "entityrul": [122, 380], "exact": [122, 130, 134, 146, 380, 389, 394, 406], "definit": [122, 143, 252, 380, 403, 512], "jsonl": [122, 380], "might": [122, 140, 196, 380, 400, 456, 531], "rule": [122, 129, 131, 133, 157, 189, 191, 193, 220, 225, 237, 238, 380, 390, 393, 417, 451, 453, 480, 485], "winterfel": [122, 380], "jon": [122, 380], "snow": [122, 142, 162, 183, 380, 402, 421, 442], "stark": [122, 380], "eddard": [122, 380], "rocksdb": [122, 380], "lord": [122, 380], "29": [122, 142, 196, 254, 256, 380, 402, 456, 515, 517], "38": [122, 175, 246, 256, 380, 435, 507, 517], "plain": [122, 236, 237, 238, 246, 380, 497, 498, 499, 507, 532], "entity_pattern": [122, 380], "graph": [123, 140, 141, 170, 183, 188, 204, 318, 382, 400, 401, 430, 442, 448, 463], "relev": [123, 125, 146, 158, 161, 203, 382, 385, 406, 420, 462], "taken": [123, 382], "implicitli": [123, 382], "travers": [123, 382], "neighbor": [123, 181, 382, 440], "symbol": [123, 183, 196, 382, 442, 456], "coordin": [123, 154, 237, 245, 250, 382, 414, 498, 511], "remoteloc": [123, 382], "rdf": [123, 204, 382, 463], "nertagg": [123, 139, 140, 141, 142, 382, 399, 400, 401, 402], "morn": [123, 204, 382, 463], "flight": [123, 204, 382, 463], "denver": [123, 204, 382, 463], "18": [123, 131, 132, 135, 138, 142, 162, 208, 226, 240, 382, 390, 392, 395, 398, 402, 421, 468, 486, 501, 525], "path1": [123, 382], "iob": [123, 138, 139, 140, 382, 398, 399, 400], "iob2": [123, 138, 382, 398], "getstopword": [124, 125, 385], "maxngram": [124, 125, 385], "minngram": [124, 125, 385], "nkeyword": [124, 125, 385], "setmaxngram": [124, 125, 385], "setminngram": [124, 125, 385], "setnkeyword": [124, 125, 385], "yake": [125, 385], "independ": [125, 184, 185, 191, 385, 444, 445, 451], "grow": [125, 385], "autom": [125, 171, 385, 431], "adequ": [125, 385], "emerg": [125, 163, 179, 385, 422, 439], "tool": [125, 146, 163, 177, 178, 210, 385, 406, 422, 437, 438, 470], "thesauri": [125, 385], "neither": [125, 385], "written": [125, 170, 318, 385, 430], "plethora": [125, 385], "situat": [125, 155, 385, 415], "access": [125, 173, 210, 385, 433, 470], "restrict": [125, 174, 385, 434], "therefor": [125, 385, 530], "boundari": [125, 154, 155, 158, 193, 196, 236, 237, 238, 385, 414, 415, 418, 453, 456, 497], "detector": [125, 131, 157, 385, 390, 417], "section": [125, 200, 209, 237, 238, 385, 459, 469, 522, 524, 530], "tweakabl": [125, 385], "upper": [125, 385], "bound": [125, 154, 155, 158, 385, 414, 415, 418], "occurr": [125, 220, 385, 480], "campo": [125, 385], "mangaravit": [125, 385], "pasquali": [125, 385], "jatowt": [125, 385], "jorg": [125, 385], "nune": [125, 385], "journal": [125, 196, 385, 456], "elsevi": [125, 385], "vol": [125, 385], "509": [125, 385], "pp": [125, 196, 385, 456], "257": [125, 385], "289": [125, 385], "turn": [125, 213, 385, 473, 526], "come": [125, 138, 146, 167, 173, 385, 398, 406, 427, 433], "fly": [125, 385], "demand": [125, 385], "within": [125, 152, 158, 163, 166, 193, 199, 238, 246, 247, 385, 412, 418, 422, 425, 453, 458, 499, 507, 508], "resort": [125, 385], "alwai": [125, 146, 168, 173, 174, 175, 177, 179, 348, 385, 406, 428, 433, 434, 435, 437, 439], "solut": [125, 171, 385, 431], "articl": [125, 183, 385, 442], "rest": [125, 138, 385, 398], "extern": [125, 128, 133, 134, 139, 140, 141, 183, 188, 211, 225, 252, 253, 254, 255, 260, 385, 388, 393, 394, 400, 401, 442, 448, 471, 485, 512, 513, 515, 516], "merit": [125, 385], "ten": [125, 385], "carri": [125, 161, 203, 385, 420, 462], "twenti": [125, 385], "setcontextchar": [125, 189, 193, 385, 453], "acquir": [125, 385], "kaggl": [125, 178, 385, 438], "platform": [125, 146, 147, 234, 385, 406, 407, 494, 524], "host": [125, 385], "transact": [125, 385], "somewhat": [125, 385], "vagu": [125, 385], "confer": [125, 385], "week": [125, 131, 132, 190, 385, 390, 392, 449], "announc": [125, 142, 385, 402], "earli": [125, 385], "tomorrow": [125, 131, 132, 385, 390, 392], "founder": [125, 385], "ceo": [125, 385], "anthoni": [125, 385], "goldbloom": [125, 385], "declin": [125, 385], "deni": [125, 385], "acquisit": [125, 385], "happen": [125, 385], "rumor": [125, 385], "scientist": [125, 385], "ben": [125, 385], "hamner": [125, 385], "2010": [125, 385], "servic": [125, 146, 170, 318, 385, 406, 430], "got": [125, 385], "few": [125, 193, 254, 385, 453, 515, 532], "competitor": [125, 385], "drivendata": [125, 385], "topcod": [125, 385], "hackerrank": [125, 385], "manag": [125, 241, 260, 385, 502, 523], "stai": [125, 385], "ahead": [125, 385], "nich": [125, 385], "bui": [125, 253, 385, 513], "commun": [125, 167, 168, 173, 174, 385, 427, 428, 433, 434], "mindshar": [125, 385], "too": [125, 157, 385, 417, 525], "plenti": [125, 385], "bit": [125, 155, 385, 415, 531], "histori": [125, 155, 183, 385, 415, 442], "earlier": [125, 385], "month": [125, 131, 132, 254, 385, 390, 392, 515, 532], "team": [125, 170, 234, 318, 385, 430, 494, 522], "around": [125, 162, 172, 385, 421, 432], "youtub": [125, 385], "interest": [125, 173, 174, 175, 177, 385, 433, 434, 435, 437], "kernel": [125, 385], "On": [125, 165, 166, 170, 318, 385, 424, 425, 430], "analyz": [125, 158, 385, 418], "compani": [125, 170, 318, 385, 430], "script": [125, 169, 385, 429], "centric": [125, 169, 172, 385, 429, 432], "job": [125, 199, 385, 458], "board": [125, 152, 254, 385, 412, 515], "unclear": [125, 385], "crunchbas": [125, 385], "pitchbook": [125, 385], "launch": [125, 385], "investor": [125, 385], "ventur": [125, 385], "sv": [125, 385], "angel": [125, 165, 385, 424], "levchin": [125, 385], "naravik": [125, 385], "chie": [125, 385], "economist": [125, 385], "hal": [125, 385], "varian": [125, 385], "khosla": [125, 385], "yuri": [125, 385], "milner": [125, 385], "resulttupl": [125, 385], "ascend": [125, 385], "orderbi": [125, 385], "32051516486864573": [125, 385], "37786450577630676": [125, 385], "39922830978423146": [125, 385], "40224744669493756": [125, 385], "41584827825302534": [125, 385], "danish": [125, 187, 385, 447], "dutch": [125, 187, 385, 447], "finnish": [125, 187, 385, 447], "german": [125, 187, 252, 385, 447, 512, 532], "hungarian": [125, 187, 385, 447], "italian": [125, 146, 183, 187, 385, 406, 442, 447], "norwegian": [125, 187, 385, 447], "portugues": [125, 187, 385, 447], "russian": [125, 187, 385, 447], "spanish": [125, 187, 385, 447], "swedish": [125, 187, 385, 447], "turkish": [125, 187, 385, 447], "ld": [127, 383, 387], "identif": [127, 224, 387, 484], "rnn": [127, 387], "tatoeba": [127, 387], "wiki": [127, 387], "languagedetector": [127, 387], "ld_wiki_tatoeba_cnn_21": [127, 387], "java": [127, 241, 260, 319, 387, 440, 474, 475, 483, 489, 490, 493, 502, 509], "scala": [127, 319, 387, 440, 474, 475, 483, 489, 493, 509], "program": [127, 178, 387, 438], "biblioth\u00e8qu": [127, 387], "traitement": [127, 387], "pour": [127, 387], "le": [127, 170, 318, 387, 430], "avanc\u00e9": [127, 387], "langag": [127, 387], "naturel": [127, 387], "programm": [127, 387], "ist": [127, 387], "ein": [127, 387], "textverarbeitungsbibliothek": [127, 387], "f\u00fcr": [127, 387], "fortgeschritten": [127, 387], "nat\u00fcrlich": [127, 387], "sprachverarbeitung": [127, 387], "die": [127, 387], "programmiersprachen": [127, 387], "und": [127, 387], "lemma": [128, 157, 208, 240, 253, 388, 417, 468, 501, 513, 527, 530, 531], "predefin": [128, 130, 133, 134, 157, 388, 389, 393, 394, 417], "lemmas_smal": [128, 157, 388, 417], "keydelimit": 128, "valuedelimit": 128, "correspend": [128, 388], "key_delimit": [128, 388], "value_delimit": [128, 388], "fromlemma": [128, 388], "lemma_antbnc": [128, 388], "mergeoverlap": [129, 130, 134, 389, 394], "setent": [129, 130, 134, 136, 137, 190, 389, 394, 397, 449], "setmergeoverlap": [129, 130, 134, 389, 394], "settoken": [129, 130, 389], "searchtri": [129, 130, 134, 389, 394], "aggressivematch": [129, 131, 390], "anchordatedai": [129, 131, 132, 390, 392], "anchordatemonth": [129, 131, 132, 390, 392], "anchordateyear": [129, 131, 132, 390, 392], "defaultdaywhenmiss": [129, 131, 132, 390, 392], "inputformat": [129, 131, 197, 212, 390, 472], "outputformat": [129, 131, 235, 237, 390, 498], "readmonthfirst": [129, 131, 132, 390, 392], "relaxedfactorystrategi": [129, 131, 390], "setaggressivematch": [129, 131, 390], "setanchordatedai": [129, 131, 132, 390, 392], "setanchordatemonth": [129, 131, 132, 390, 392], "setanchordateyear": [129, 131, 132, 390, 392], "setdefaultdaywhenmiss": [129, 131, 390], "setinputformat": [129, 131, 197, 212, 390, 472], "setoutputformat": [129, 131, 132, 235, 237, 390, 392, 498], "setreadmonthfirst": [129, 131, 390], "setrelaxedfactorystrategi": [129, 131, 390], "setsourcelanguag": [129, 131, 390], "sourcelanguag": [129, 131, 390], "externalrul": [129, 133, 393], "setexternalrul": [129, 133, 393], "setrul": [129, 133, 393], "setstrategi": [129, 133, 393], "buildfromtoken": [129, 134, 394], "entityvalu": [129, 134, 394], "setbuildfromtoken": [129, 134, 394], "setentityvalu": [129, 134, 394], "trie": [130, 389], "dolor": [130, 134, 389, 394], "magna": [130, 134, 389, 394], "aliqua": [130, 134, 389, 394], "laborum": [130, 134, 389, 394], "entityextractor": [130, 134, 190, 389, 394, 449], "59": [130, 131, 132, 134, 389, 390, 392, 394], "tokenizer_model": [130, 389], "btm": [130, 389], "tmvocab": [130, 389], "tmedg": [130, 389], "tmnode": [130, 389], "1978": [131, 132, 390, 392], "28": [131, 132, 138, 208, 226, 238, 240, 256, 390, 392, 398, 468, 486, 499, 501, 517, 525], "1984": [131, 132, 390, 392], "04": [131, 132, 390, 392], "02": [131, 132, 390, 392], "1980": [131, 132, 390, 392], "31st": [131, 132, 390, 392], "april": [131, 132, 390, 392], "year": [131, 132, 166, 167, 190, 254, 390, 392, 425, 427, 449, 515], "2008": [131, 132, 390, 392], "fri": [131, 132, 390, 392], "1997": [131, 132, 390, 392], "jan": [131, 132, 390, 392], "sun": [131, 132, 390, 392], "1st": [131, 132, 390, 392], "thursdai": [131, 132, 390, 392], "wednesdai": [131, 132, 390, 392], "todai": [131, 132, 164, 172, 210, 256, 390, 392, 423, 432, 470, 517], "yesterdai": [131, 132, 390, 392], "0600h": [131, 132, 390, 392], "06": [131, 132, 390, 392], "00": [131, 132, 390, 392], "6pm": [131, 132, 390, 392], "23": [131, 132, 133, 142, 152, 254, 255, 256, 390, 392, 393, 402, 412, 515, 516, 517, 532], "1988": [131, 132, 390, 392], "31": [131, 132, 133, 142, 152, 254, 390, 392, 393, 402, 412, 515], "dateformat": [131, 132, 390, 392], "desir": [131, 132, 390, 392], "yyyi": [131, 132, 390, 392], "mm": [131, 132, 196, 390, 392, 456], "dd": [131, 132, 133, 390, 392, 393], "anchor": [131, 132, 390, 392], "januari": [131, 132, 390, 392], "15": [131, 245, 246, 256, 390, 506, 507, 517], "aggress": [131, 390], "attempt": [131, 184, 390, 444], "ambigu": [131, 390], "juli": [131, 390], "07": [131, 390], "05": [131, 162, 245, 390, 421, 506], "2015": [131, 390], "relax": [131, 162, 390, 421], "Not": [131, 140, 211, 390, 400, 471], "5th": [131, 390], "match_first": [131, 133, 214, 220, 390, 393, 480], "exhaust": [131, 390], "saw": [132, 392], "visit": [132, 146, 392, 406], "57": [132, 142, 392, 402], "65": [132, 142, 392, 402], "d": [133, 144, 193, 238, 393, 404, 453, 499, 524], "1970": [133, 393], "match_al": [133, 214, 220, 393, 480], "match_complet": [133, 214, 220, 393, 480], "ceremoni": [133, 393], "71": [133, 393], "short_dat": [133, 393], "regardless": [134, 394], "27": [134, 152, 154, 254, 394, 412, 414, 515], "48": [134, 196, 256, 394, 456, 517], "null": [135, 249, 395, 510], "empti": [135, 162, 181, 188, 199, 208, 236, 237, 246, 395, 421, 440, 458, 468, 497, 507], "join": [135, 152, 210, 212, 236, 237, 254, 395, 412, 470, 472, 497, 498, 515], "minepoch": [136, 137, 139, 140, 397, 399, 400], "setminepoch": [136, 137, 139, 397, 399], "setrandomse": [136, 137, 140, 141, 148, 149, 159, 170, 397, 400, 401, 408, 430], "nerhasnoschema": [136, 138, 398], "preserveposit": [136, 138, 189, 192, 197, 213, 398, 452, 473], "setnerhasnoschema": [136, 138, 398], "setpreserveposit": [136, 138, 189, 192, 197, 213, 398, 452, 473], "setwhitelist": [136, 138, 189, 191, 398, 451], "whitelist": [136, 138, 189, 191, 398, 451], "c0": [136, 139, 399], "externalfeatur": [136, 139, 399], "includeconfid": [136, 139, 140, 399, 400], "l2": [136, 139, 399], "lossep": [136, 139, 399], "minw": [136, 139, 399], "setc0": [136, 139, 399], "setexternalfeatur": [136, 139, 399], "setincludeconfid": [136, 139, 140, 399, 400], "setl2": [136, 139, 399], "setlossep": [136, 139, 399], "setminw": [136, 139, 399], "bestmodelmetr": [136, 140, 400], "enablememoryoptim": [136, 140, 400], "includeallconfidencescor": [136, 140, 400], "setbestmodelmetr": [136, 140, 400], "setenablememoryoptim": [136, 140, 400], "setincludeallconfidencescor": [136, 140, 400], "setpo": [136, 140, 400], "setusebestmodel": [136, 140, 400], "setusecontrib": [136, 140, 400], "usebestmodel": [136, 140, 400], "usecontrib": [136, 140, 400], "embeddingsdim": [136, 141, 401], "setembeddingsdim": [136, 141, 401], "setembeddingsmodel": [136, 141, 401], "nerword": [136, 142, 402], "newnerent": [136, 142, 402], "replaceent": [136, 142, 402], "setnerword": [136, 142, 402], "setnewnerent": [136, 142, 402], "setreplaceent": [136, 142, 402], "ignoreent": [136, 143, 403], "predictionthreshold": [136, 143, 403], "setentitydefinit": [136, 143, 403], "setpredictionthreshold": [136, 143, 403], "recogn": [137, 138, 139, 140, 142, 143, 183, 397, 398, 399, 400, 402, 403, 442], "friendli": [138, 146, 170, 318, 398, 406, 430], "outsid": [138, 398], "ekeu": [138, 139, 140, 208, 226, 240, 398, 399, 400, 468, 486, 501], "36": [138, 152, 208, 226, 240, 254, 256, 398, 412, 468, 486, 501, 515, 517], "baghdad": [138, 139, 140, 208, 226, 240, 398, 399, 400, 468, 486, 501], "37": [138, 208, 226, 240, 398, 468, 486, 501], "nercrf": [139, 399], "crf": [139, 140, 399, 400], "2003": [139, 140, 196, 252, 399, 400, 456, 512, 532], "exclud": [139, 140, 246, 249, 399, 400, 507, 510], "decai": [139, 140, 399, 400], "2250000": [139, 399], "ep": [139, 399], "confid": [139, 140, 143, 399, 400, 403], "trainingdata": [139, 140, 141, 155, 184, 185, 252, 399, 400, 401, 415, 444, 445, 512], "readdataset": [139, 140, 141, 152, 196, 251, 252, 253, 254, 255, 256, 399, 400, 401, 412, 456, 512, 513, 515, 516, 517, 532], "conll2003": [139, 140, 141, 252, 399, 400, 401, 512, 532], "eng": [139, 140, 141, 252, 399, 400, 401, 512, 532], "c0valu": [139, 399], "l2valu": [139, 399], "verbosevalu": [139, 399], "prerequisit": [139, 140, 142, 399, 400, 402, 526], "nerdl": [140, 141, 400, 401], "char": [140, 144, 155, 237, 245, 400, 404, 415], "bilstm": [140, 400], "tagger": [140, 254, 400, 515, 532], "rage": [140, 400], "contrib": [140, 400], "cell": [140, 212, 236, 237, 238, 400, 472, 497, 498], "slightli": [140, 155, 177, 400, 415, 437], "slow": [140, 400], "micro": [140, 400], "macro": [140, 400], "nermodel": [140, 400], "javaestim": [141, 211, 215, 232], "javamlwrit": [141, 215, 216, 223, 229, 245], "least": [141, 160, 161, 162, 196, 221, 401, 419, 420, 421, 456, 481], "nerdlgraphcheckertestspec": [141, 401], "annotatorr": [141, 401], "fall": [141, 177, 401, 437], "cannot": [141, 146, 210, 401, 406, 470], "javamodel": [141, 216, 232], "ident": [141, 181, 401, 440], "setnewresult": [142, 402], "overwritten": [142, 402], "lab": [142, 402], "42": [142, 152, 402, 412], "45": [142, 152, 254, 256, 402, 412, 515, 517], "47": [142, 254, 256, 402, 515, 517], "ner_overwritten": [142, 402], "cardin": [142, 402], "rw": [142, 402], "zeroshotn": [143, 403], "zer_shot_n": [143, 403], "entitydefinit": [143, 403], "citi": [143, 403], "town": [143, 403], "01f": [143, 403], "zero_shot_n": [143, 403], "hellen": [143, 403], "5328949": [143, 403], "9360068": [143, 403], "83294415": [143, 403], "45366877": [143, 403], "shortcut": [143, 403], "zero_shot_ner_roberta": [143, 403], "stem": [144, 186, 208, 240, 404, 446, 468, 501, 530, 531], "henc": [144, 404], "pl": [144, 404], "slang": [144, 404], "alphanumer": [144, 404], "za": [144, 404], "z": [144, 160, 161, 162, 193, 221, 404, 419, 420, 421, 453, 481], "brother": [144, 404], "dont": [144, 158, 404, 418], "sensit": [144, 184, 187, 193, 444, 447, 453], "bestof": [145, 146, 406], "echo": [145, 146, 406], "frequencypenalti": [145, 146, 160, 161, 162, 214, 221, 406, 419, 420, 421, 481], "logitbia": [145, 146, 406], "logprob": [145, 146, 406], "maxtoken": [145, 146, 406], "numberofcomplet": [145, 146, 406], "presencepenalti": [145, 146, 160, 161, 162, 214, 221, 406, 419, 420, 421, 481], "setbestof": [145, 146, 406], "setecho": [145, 146, 406], "setfrequencypenalti": [145, 146, 214, 221, 406, 481], "setlogitbia": [145, 146, 406], "setlogprob": [145, 146, 406], "setmaxtoken": [145, 146, 406], "setmodel": [145, 146, 147, 153, 155, 406, 407, 415], "setnumberofcomplet": [145, 146, 406], "setpresencepenalti": [145, 146, 214, 221, 406, 481], "setstop": [145, 146, 406], "setsuffix": [145, 146, 189, 191, 406, 451], "setus": [145, 146, 147, 406, 407], "suffix": [145, 146, 160, 161, 162, 189, 191, 193, 221, 406, 419, 420, 421, 451, 453, 481, 526], "request": [146, 147, 178, 236, 406, 407, 438, 497], "complet": [146, 160, 161, 162, 178, 221, 234, 406, 419, 420, 421, 438, 481, 494, 523, 526], "api": [146, 147, 261, 406, 407, 522, 526, 529], "insert": [146, 184, 185, 237, 406, 444, 445, 526], "nucleu": [146, 406], "mass": [146, 406], "penal": [146, 160, 161, 162, 221, 406, 419, 420, 421, 481], "topic": [146, 406], "verbatim": [146, 406], "best_of": [146, 406], "server": [146, 160, 161, 162, 406, 419, 420, 421, 531], "side": [146, 162, 165, 196, 406, 421, 424, 456], "abus": [146, 147, 406, 407], "davinci": [146, 406], "003": [146, 406], "empty_df": [146, 147, 406, 407], "sample_text": [146, 147, 406, 407], "restaur": [146, 157, 406, 417], "eateri": [146, 406], "dine": [146, 406], "sample_df": [146, 147, 406, 407], "258": [146, 406], "ni": [146, 210, 406, 470], "pleasur": [146, 406], "fiorita": [146, 406], "truli": [146, 173, 406, 433], "delight": [146, 406], "menu": [146, 406], "boast": [146, 406], "wonder": [146, 406], "classic": [146, 406], "dish": [146, 406], "exquisit": [146, 406], "staff": [146, 157, 406, 417], "227": [146, 406], "barbecu": [146, 406], "joe": [146, 406], "dinner": [146, 406], "amaz": [146, 406], "pull": [146, 178, 406, 438], "pork": [146, 406], "smoke": [146, 406], "turkei": [146, 406], "brisket": [146, 406], "rib": [146, 406], "sandwich": [146, 406], "opt": [146, 406], "172": [146, 406], "overallr": [146, 406], "reviewbodi": [146, 406], "enjoi": [146, 162, 165, 406, 421, 424], "meal": [146, 406], "flavour": [146, 406], "beautifulli": [146, 162, 406, 421], "candid": [146, 183, 184, 185, 193, 406, 442, 444, 445, 453], "consum": [146, 406], "quota": [146, 406], "ensur": [146, 171, 172, 178, 249, 406, 431, 432, 438, 489, 509, 510], "max_token": [146, 406], "mathemat": [146, 165, 171, 177, 406, 424, 431, 437], "ban": [146, 406], "50256": [146, 406], "prevent": [146, 406], "endoftext": [146, 406], "plu": [146, 166, 406, 425], "determinist": [146, 406], "alter": [146, 406], "delici": [147, 407], "waiter": [147, 407], "002297497": [147, 407], "009297881": [147, 407], "015739758": [147, 407], "0076794787": [147, 407], "004737794": [147, 407], "01487661": [147, 407], "009856389": [147, 407], "03823238": [147, 407], "0069305706": [147, 407], "028610818": [147, 407], "025208998": [147, 407], "018138802": [147, 407], "0036271256": [147, 407], "025539026": [147, 407], "204275e": [147, 407], "016374426": [147, 407], "02828079": [147, 407], "0054073683": [147, 407], "009710415": [147, 407], "016399812": [147, 407], "015397037": [147, 407], "00427766": [147, 407], "006987691": [147, 407], "0072859847": [147, 407], "003874646": [147, 407], "018544989": [147, 407], "008752067": [147, 407], "022657635": [147, 407], "011493831": [147, 407], "023901584": [147, 407], "015638212": [147, 407], "0035192322": [147, 407], "034932107": [147, 407], "0041919798": [147, 407], "02612292": [147, 407], "021515233": [147, 407], "005715182": [147, 407], "011754045": [147, 407], "008453773": [147, 407], "004080913": [147, 407], "019179657": [147, 407], "014419649": [147, 407], "00893612": [147, 407], "0063911034": [147, 407], "045670684": [147, 407], "017884934": [147, 407], "005610462": [147, 407], "219344e": [147, 407], "02211182": [147, 407], "0039539794": [147, 407], "021007499": [147, 407], "017631067": [147, 407], "011696924": [147, 407], "02260686": [147, 407], "016336346": [147, 407], "017174106": [147, 407], "008466466": [147, 407], "0015922225": [147, 407], "025094759": [147, 407], "024967825": [147, 407], "007806412": [147, 407], "005794516": [147, 407], "022187982": [147, 407], "0029162979": [147, 407], "0060959826": [147, 407], "025564414": [147, 407], "008104706": [147, 407], "0010178483": [147, 407], "9823447e": [147, 407], "0046425937": [147, 407], "02074094": [147, 407], "013467647": [147, 407], "004626727": [147, 407], "016006319": [147, 407], "0166156": [147, 407], "008948814": [147, 407], "007616012": [147, 407], "013619968": [147, 407], "0069749975": [147, 407], "0052677416": [147, 407], "009881775": [147, 407], "04592455": [147, 407], "0030464048": [147, 407], "024003131": [147, 407], "02301305": [147, 407], "006981344": [147, 407], "023571556": [147, 407], "009938896": [147, 407], "006537077": [147, 407], "033332746": [147, 407], "002690991": [147, 407], "019928563": [147, 407], "0017596161": [147, 407], "001090835": [147, 407], "022683023": [147, 407], "005007528": [147, 407], "01540973": [147, 407], "031530287": [147, 407], "0054676617": [147, 407], "015980931": [147, 407], "0051471544": [147, 407], "019890483": [147, 407], "009386734": [147, 407], "0062133963": [147, 407], "031174876": [147, 407], "009405775": [147, 407], "015270104": [147, 407], "028864685": [147, 407], "021020193": [147, 407], "018303815": [147, 407], "0029210579": [147, 407], "012693353": [147, 407], "005102728": [147, 407], "049580235": [147, 407], "04300508": [147, 407], "1293065e": [147, 407], "0215787": [147, 407], "016894853": [147, 407], "0065434235": [147, 407], "041431103": [147, 407], "662815e": [147, 407], "03351045": [147, 407], "0128901": [147, 407], "010510096": [147, 407], "807209e": [147, 407], "01835459": [147, 407], "2869726e": [147, 407], "01309954": [147, 407], "011982525": [147, 407], "005813556": [147, 407], "0070194243": [147, 407], "008637827": [147, 407], "018456135": [147, 407], "5521466e": [147, 407], "019141577": [147, 407], "021896034": [147, 407], "02975322": [147, 407], "0043220865": [147, 407], "0015160623": [147, 407], "0052074483": [147, 407], "0149527695": [147, 407], "0213883": [147, 407], "018836936": [147, 407], "01105591": [147, 407], "0074636918": [147, 407], "022632249": [147, 407], "0036810723": [147, 407], "006286383": [147, 407], "025678653": [147, 407], "027773056": [147, 407], "03668379": [147, 407], "00445854": [147, 407], "013911915": [147, 407], "008015852": [147, 407], "0056739287": [147, 407], "010281616": [147, 407], "0057659554": [147, 407], "00872668": [147, 407], "010649723": [147, 407], "0787844e": [147, 407], "032164957": [147, 407], "023838118": [147, 407], "002641804": [147, 407], "030387888": [147, 407], "029626286": [147, 407], "016602905": [147, 407], "0021784967": [147, 407], "0010519617": [147, 407], "0116524985": [147, 407], "018519603": [147, 407], "007552545": [147, 407], "007419265": [147, 407], "0011090817": [147, 407], "0044331537": [147, 407], "009989669": [147, 407], "007533505": [147, 407], "0061943564": [147, 407], "0057088356": [147, 407], "028230017": [147, 407], "0042554466": [147, 407], "029321646": [147, 407], "024790118": [147, 407], "015676292": [147, 407], "018202268": [147, 407], "0075017717": [147, 407], "00865052": [147, 407], "0063942764": [147, 407], "0020118963": [147, 407], "036963046": [147, 407], "002335577": [147, 407], "020804405": [147, 407], "6888937": [147, 407], "019598536": [147, 407], "0034748053": [147, 407], "0067401705": [147, 407], "02835695": [147, 407], "023393849": [147, 407], "0071527045": [147, 407], "010586256": [147, 407], "0096088685": [147, 407], "009488282": [147, 407], "021337526": [147, 407], "6766098e": [147, 407], "019801632": [147, 407], "0022705235": [147, 407], "009558095": [147, 407], "0020753632": [147, 407], "708839e": [147, 407], "0066449703": [147, 407], "04130417": [147, 407], "011220924": [147, 407], "013391487": [147, 407], "027722282": [147, 407], "011366897": [147, 407], "4434706e": [147, 407], "015460504": [147, 407], "549375e": [147, 407], "01449581": [147, 407], "008529933": [147, 407], "018875016": [147, 407], "017745307": [147, 407], "009437508": [147, 407], "024587024": [147, 407], "013010687": [147, 407], "008993241": [147, 407], "005093208": [147, 407], "024218917": [147, 407], "024066597": [147, 407], "0037857925": [147, 407], "031047942": [147, 407], "015003543": [147, 407], "023266915": [147, 407], "03021018": [147, 407], "0069115306": [147, 407], "010154682": [147, 407], "011430364": [147, 407], "030311726": [147, 407], "01764376": [147, 407], "0020975766": [147, 407], "006746517": [147, 407], "009748495": [147, 407], "01665368": [147, 407], "003658859": [147, 407], "02789999": [147, 407], "0040682196": [147, 407], "0031289116": [147, 407], "029905539": [147, 407], "016882159": [147, 407], "0021689767": [147, 407], "023228835": [147, 407], "011773085": [147, 407], "014292715": [147, 407], "019827018": [147, 407], "029575512": [147, 407], "0015803224": [147, 407], "018405361": [147, 407], "002776671": [147, 407], "019370057": [147, 407], "027569963": [147, 407], "008460119": [147, 407], "012445833": [147, 407], "0028322043": [147, 407], "0052804346": [147, 407], "006422837": [147, 407], "009335961": [147, 407], "02354617": [147, 407], "0010345082": [147, 407], "018900402": [147, 407], "0029908712": [147, 407], "0068544107": [147, 407], "010148335": [147, 407], "007939693": [147, 407], "0072796377": [147, 407], "020537846": [147, 407], "010928977": [147, 407], "029880153": [147, 407], "0038492593": [147, 407], "002795711": [147, 407], "01892579": [147, 407], "029956313": [147, 407], "024612412": [147, 407], "00446806": [147, 407], "026452947": [147, 407], "017605681": [147, 407], "041177236": [147, 407], "02018243": [147, 407], "014648129": [147, 407], "021553313": [147, 407], "0015017823": [147, 407], "0034874987": [147, 407], "034170505": [147, 407], "036125284": [147, 407], "02805231": [147, 407], "018430749": [147, 407], "003404992": [147, 407], "009329614": [147, 407], "020766325": [147, 407], "012560072": [147, 407], "01707256": [147, 407], "011538258": [147, 407], "007711212": [147, 407], "01332802": [147, 407], "007412918": [147, 407], "022492621": [147, 407], "0059055826": [147, 407], "025754813": [147, 407], "01904003": [147, 407], "013353407": [147, 407], "0026005507": [147, 407], "022530701": [147, 407], "007895266": [147, 407], "842112e": [147, 407], "028103083": [147, 407], "013962688": [147, 407], "019979337": [147, 407], "02115982": [147, 407], "0029305778": [147, 407], "01340418": [147, 407], "01609517": [147, 407], "011880978": [147, 407], "016793307": [147, 407], "0048837676": [147, 407], "013036073": [147, 407], "025767507": [147, 407], "030337114": [147, 407], "022454541": [147, 407], "018824242": [147, 407], "0019785764": [147, 407], "006146756": [147, 407], "0021055099": [147, 407], "0014525956": [147, 407], "011157458": [147, 407], "005293128": [147, 407], "011468444": [147, 407], "021591393": [147, 407], "0051535014": [147, 407], "005597769": [147, 407], "1935701e": [147, 407], "012731433": [147, 407], "0034208586": [147, 407], "024688572": [147, 407], "0018103895": [147, 407], "001299482": [147, 407], "005461315": [147, 407], "024878971": [147, 407], "030565593": [147, 407], "016717145": [147, 407], "013226474": [147, 407], "008764761": [147, 407], "007355798": [147, 407], "0070638508": [147, 407], "005734222": [147, 407], "012084072": [147, 407], "023749264": [147, 407], "028813912": [147, 407], "015892077": [147, 407], "0033573918": [147, 407], "0052201413": [147, 407], "01672984": [147, 407], "0014105488": [147, 407], "02184526": [147, 407], "019560456": [147, 407], "0063752364": [147, 407], "008777454": [147, 407], "00418246": [147, 407], "013861141": [147, 407], "012877407": [147, 407], "009500975": [147, 407], "005804036": [147, 407], "0013859555": [147, 407], "025335932": [147, 407], "01779608": [147, 407], "01537165": [147, 407], "0019722297": [147, 407], "011081297": [147, 407], "0073875315": [147, 407], "0015795291": [147, 407], "015968239": [147, 407], "013454954": [147, 407], "0026592575": [147, 407], "0020944031": [147, 407], "014140395": [147, 407], "0023339903": [147, 407], "0064989966": [147, 407], "0030828982": [147, 407], "0046870206": [147, 407], "013239168": [147, 407], "017491441": [147, 407], "011106684": [147, 407], "029702445": [147, 407], "003696939": [147, 407], "013784981": [147, 407], "017250266": [147, 407], "0037762725": [147, 407], "021413686": [147, 407], "017047172": [147, 407], "019268509": [147, 407], "006898837": [147, 407], "013924608": [147, 407], "009266147": [147, 407], "0023577902": [147, 407], "020905953": [147, 407], "005264568": [147, 407], "0014875022": [147, 407], "0064513967": [147, 407], "003044818": [147, 407], "0073431046": [147, 407], "0012431552": [147, 407], "0021166166": [147, 407], "0019404964": [147, 407], "018646536": [147, 407], "6913787e": [147, 407], "01518125": [147, 407], "0013581888": [147, 407], "016755225": [147, 407], "5418405e": [147, 407], "0076921717": [147, 407], "016780613": [147, 407], "56008e": [147, 407], "010948017": [147, 407], "956349e": [147, 407], "006108676": [147, 407], "011290737": [147, 407], "027443029": [147, 407], "008910734": [147, 407], "012858367": [147, 407], "016844079": [147, 407], "017592987": [147, 407], "01476237": [147, 407], "0039793663": [147, 407], "008066626": [147, 407], "0018421229": [147, 407], "03422128": [147, 407], "016526746": [147, 407], "022200674": [147, 407], "0010051549": [147, 407], "004474407": [147, 407], "6767073e": [147, 407], "007749292": [147, 407], "026249854": [147, 407], "006670357": [147, 407], "014775063": [147, 407], "02589444": [147, 407], "0023530303": [147, 407], "0066068904": [147, 407], "0067147836": [147, 407], "0012542619": [147, 407], "018671922": [147, 407], "0022498968": [147, 407], "0048552076": [147, 407], "0031463648": [147, 407], "0217691": [147, 407], "011849245": [147, 407], "0026735375": [147, 407], "011024177": [147, 407], "01733912": [147, 407], "0073621445": [147, 407], "012407753": [147, 407], "0032939252": [147, 407], "0072288644": [147, 407], "014457729": [147, 407], "0011781019": [147, 407], "009615215": [147, 407], "0141150085": [147, 407], "025376e": [147, 407], "04615303": [147, 407], "031631835": [147, 407], "005131288": [147, 407], "006594197": [147, 407], "025386706": [147, 407], "028204631": [147, 407], "023482703": [147, 407], "013086847": [147, 407], "022314915": [147, 407], "2082416e": [147, 407], "023457317": [147, 407], "006013476": [147, 407], "0125029525": [147, 407], "0021404168": [147, 407], "023977743": [147, 407], "0033542186": [147, 407], "029423192": [147, 407], "0019960299": [147, 407], "0076477453": [147, 407], "080113e": [147, 407], "030413274": [147, 407], "008790147": [147, 407], "013493034": [147, 407], "078089505": [147, 407], "004842514": [147, 407], "015232024": [147, 407], "00825068": [147, 407], "036785338": [147, 407], "335175e": [147, 407], "03891782": [147, 407], "004680674": [147, 407], "005451795": [147, 407], "012134845": [147, 407], "02490436": [147, 407], "007101931": [147, 407], "026351402": [147, 407], "0043093935": [147, 407], "0059595294": [147, 407], "024561638": [147, 407], "019331977": [147, 407], "02385081": [147, 407], "008206253": [147, 407], "015942851": [147, 407], "027138388": [147, 407], "01521933": [147, 407], "0043728603": [147, 407], "025500946": [147, 407], "026173694": [147, 407], "0011558884": [147, 407], "023381157": [147, 407], "0016207825": [147, 407], "001237602": [147, 407], "0049916613": [147, 407], "0024085636": [147, 407], "015587438": [147, 407], "0048203007": [147, 407], "35144e": [147, 407], "012255432": [147, 407], "0048742476": [147, 407], "0062546497": [147, 407], "04051718": [147, 407], "0051090745": [147, 407], "016932933": [147, 407], "0016660026": [147, 407], "02774767": [147, 407], "050976507": [147, 407], "03043866": [147, 407], "0028655245": [147, 407], "0023292303": [147, 407], "0104275895": [147, 407], "004360167": [147, 407], "011144764": [147, 407], "024282385": [147, 407], "013988075": [147, 407], "016234798": [147, 407], "014698903": [147, 407], "037673872": [147, 407], "0054644886": [147, 407], "020461684": [147, 407], "012598153": [147, 407], "012363326": [147, 407], "002833791": [147, 407], "0029274046": [147, 407], "01243314": [147, 407], "0037413659": [147, 407], "012820287": [147, 407], "0070511578": [147, 407], "017364508": [147, 407], "0025545373": [147, 407], "0034843255": [147, 407], "009773882": [147, 407], "0010368882": [147, 407], "009894469": [147, 407], "330013e": [147, 407], "008237986": [147, 407], "0013804021": [147, 407], "0035890455": [147, 407], "029194713": [147, 407], "022721102": [147, 407], "026605267": [147, 407], "011151111": [147, 407], "0054200618": [147, 407], "0043919003": [147, 407], "0022181633": [147, 407], "0025402573": [147, 407], "015562051": [147, 407], "021984888": [147, 407], "025145533": [147, 407], "008422039": [147, 407], "0032590183": [147, 407], "008130092": [147, 407], "0019309763": [147, 407], "009278841": [147, 407], "981743e": [147, 407], "04363975": [147, 407], "008510893": [147, 407], "011360551": [147, 407], "025069373": [147, 407], "004252273": [147, 407], "011132071": [147, 407], "020474378": [147, 407], "014889303": [147, 407], "01896387": [147, 407], "0075461986": [147, 407], "012096765": [147, 407], "030489434": [147, 407], "012166579": [147, 407], "032393437": [147, 407], "0035763523": [147, 407], "009018627": [147, 407], "007438305": [147, 407], "0064196633": [147, 407], "025056679": [147, 407], "012230045": [147, 407], "821482e": [147, 407], "0124839125": [147, 407], "0014454556": [147, 407], "012744127": [147, 407], "007159051": [147, 407], "010402203": [147, 407], "010053135": [147, 407], "0042808335": [147, 407], "0025307373": [147, 407], "004128513": [147, 407], "010890896": [147, 407], "025716733": [147, 407], "024155451": [147, 407], "04023793": [147, 407], "015257411": [147, 407], "0129154865": [147, 407], "013264554": [147, 407], "028636204": [147, 407], "023520783": [147, 407], "004890114": [147, 407], "008022199": [147, 407], "016184025": [147, 407], "051535014": [147, 407], "011792125": [147, 407], "009291534": [147, 407], "031707995": [147, 407], "039476328": [147, 407], "004699714": [147, 407], "014216555": [147, 407], "01480045": [147, 407], "0065053436": [147, 407], "0044997935": [147, 407], "021705633": [147, 407], "0904366e": [147, 407], "019585844": [147, 407], "0036842457": [147, 407], "455769e": [147, 407], "006727477": [147, 407], "0108718565": [147, 407], "0046076872": [147, 407], "0303625": [147, 407], "02967706": [147, 407], "026554495": [147, 407], "014825836": [147, 407], "009786575": [147, 407], "009285187": [147, 407], "020931339": [147, 407], "003630299": [147, 407], "004693367": [147, 407], "009589829": [147, 407], "013886528": [147, 407], "017694535": [147, 407], "027493803": [147, 407], "004982141": [147, 407], "0071717445": [147, 407], "03297733": [147, 407], "007571585": [147, 407], "006276863": [147, 407], "016069785": [147, 407], "0464047e": [147, 407], "0025450173": [147, 407], "015358957": [147, 407], "018494215": [147, 407], "7068556e": [147, 407], "027646123": [147, 407], "0011114617": [147, 407], "013429567": [147, 407], "007920653": [147, 407], "0050011813": [147, 407], "013543808": [147, 407], "014381569": [147, 407], "0047346205": [147, 407], "018798856": [147, 407], "019674698": [147, 407], "012629886": [147, 407], "029803993": [147, 407], "009862735": [147, 407], "0033732585": [147, 407], "013048767": [147, 407], "009456548": [147, 407], "03815622": [147, 407], "286778e": [147, 407], "0040301397": [147, 407], "014254635": [147, 407], "0038809928": [147, 407], "016666373": [147, 407], "6997105e": [147, 407], "017351814": [147, 407], "015549357": [147, 407], "02952474": [147, 407], "00431574": [147, 407], "009818309": [147, 407], "470635e": [147, 407], "011404978": [147, 407], "025082065": [147, 407], "021908727": [147, 407], "018951176": [147, 407], "022936888": [147, 407], "013658048": [147, 407], "004671154": [147, 407], "0296009": [147, 407], "0127949": [147, 407], "018341895": [147, 407], "6842424e": [147, 407], "01292818": [147, 407], "0036429923": [147, 407], "030083247": [147, 407], "00215311": [147, 407], "024206225": [147, 407], "02619908": [147, 407], "009837349": [147, 407], "010256229": [147, 407], "008168173": [147, 407], "0100340955": [147, 407], "013150314": [147, 407], "02188334": [147, 407], "010935323": [147, 407], "008371267": [147, 407], "00857436": [147, 407], "0036144322": [147, 407], "009697721": [147, 407], "007863532": [147, 407], "018100722": [147, 407], "019446217": [147, 407], "023495397": [147, 407], "0037032857": [147, 407], "009380388": [147, 407], "027265321": [147, 407], "007140011": [147, 407], "015193944": [147, 407], "004556914": [147, 407], "013632661": [147, 407], "0056358487": [147, 407], "01040855": [147, 407], "0050519546": [147, 407], "008155479": [147, 407], "9020106e": [147, 407], "032571144": [147, 407], "0048076073": [147, 407], "0060293428": [147, 407], "016031705": [147, 407], "021781793": [147, 407], "0015866691": [147, 407], "0016088824": [147, 407], "024752038": [147, 407], "0019547765": [147, 407], "012369673": [147, 407], "015320877": [147, 407], "012706046": [147, 407], "009082094": [147, 407], "010249883": [147, 407], "019128883": [147, 407], "02543748": [147, 407], "0084982": [147, 407], "0032970984": [147, 407], "012991647": [147, 407], "022479929": [147, 407], "02316537": [147, 407], "0012312552": [147, 407], "0042840065": [147, 407], "018227655": [147, 407], "005731049": [147, 407], "02604676": [147, 407], "006689397": [147, 407], "006305423": [147, 407], "018075334": [147, 407], "019484296": [147, 407], "01783416": [147, 407], "0012130085": [147, 407], "015866691": [147, 407], "020626698": [147, 407], "039882515": [147, 407], "008682254": [147, 407], "0022546567": [147, 407], "009323268": [147, 407], "035871416": [147, 407], "014330796": [147, 407], "0145465825": [147, 407], "023216143": [147, 407], "011531911": [147, 407], "020372832": [147, 407], "00641649": [147, 407], "013531114": [147, 407], "016437892": [147, 407], "013124927": [147, 407], "019814324": [147, 407], "0015136823": [147, 407], "016247492": [147, 407], "004753661": [147, 407], "013823061": [147, 407], "007907959": [147, 407], "027113002": [147, 407], "009932549": [147, 407], "009659641": [147, 407], "0044807536": [147, 407], "009850042": [147, 407], "014191168": [147, 407], "042954307": [147, 407], "024701266": [147, 407], "01059895": [147, 407], "0047885673": [147, 407], "021629473": [147, 407], "006651317": [147, 407], "031098714": [147, 407], "0058262493": [147, 407], "0051249415": [147, 407], "0065180366": [147, 407], "0519563e": [147, 407], "009792922": [147, 407], "0423958": [147, 407], "010992444": [147, 407], "008739374": [147, 407], "002449817": [147, 407], "012045992": [147, 407], "014089622": [147, 407], "0018310162": [147, 407], "014406956": [147, 407], "033180423": [147, 407], "0052709146": [147, 407], "0016802826": [147, 407], "012750473": [147, 407], "018329201": [147, 407], "005750089": [147, 407], "048234742": [147, 407], "01771992": [147, 407], "009240761": [147, 407], "789961e": [147, 407], "017669147": [147, 407], "01730104": [147, 407], "0026529108": [147, 407], "022543395": [147, 407], "017288346": [147, 407], "007971426": [147, 407], "019065415": [147, 407], "007857186": [147, 407], "0481933e": [147, 407], "016488666": [147, 407], "709636e": [147, 407], "009348654": [147, 407], "0049281945": [147, 407], "0059436625": [147, 407], "020956725": [147, 407], "003538272": [147, 407], "0038905127": [147, 407], "0016485492": [147, 407], "0044141137": [147, 407], "01271874": [147, 407], "01483853": [147, 407], "01245218": [147, 407], "0023657237": [147, 407], "0037794458": [147, 407], "5497736e": [147, 407], "00882188": [147, 407], "015815917": [147, 407], "016767919": [147, 407], "005185235": [147, 407], "018049948": [147, 407], "007685825": [147, 407], "21934114": [147, 407], "012007912": [147, 407], "005039261": [147, 407], "037445392": [147, 407], "4307736e": [147, 407], "031403355": [147, 407], "0018468829": [147, 407], "0024656837": [147, 407], "01722488": [147, 407], "013213781": [147, 407], "011512871": [147, 407], "0015811158": [147, 407], "0035287521": [147, 407], "0062419563": [147, 407], "0048456877": [147, 407], "025120145": [147, 407], "023800036": [147, 407], "0269697e": [147, 407], "03554139": [147, 407], "01071319": [147, 407], "2110125e": [147, 407], "017313734": [147, 407], "03777542": [147, 407], "0019944431": [147, 407], "04402055": [147, 407], "02442201": [147, 407], "018976564": [147, 407], "005873849": [147, 407], "006924224": [147, 407], "003865126": [147, 407], "0057437425": [147, 407], "0038206992": [147, 407], "013163007": [147, 407], "01646328": [147, 407], "02446009": [147, 407], "018748082": [147, 407], "027239935": [147, 407], "0032479118": [147, 407], "03653147": [147, 407], "015206637": [147, 407], "018773468": [147, 407], "00643553": [147, 407], "010141989": [147, 407], "009183641": [147, 407], "02025859": [147, 407], "019852404": [147, 407], "006054729": [147, 407], "010630683": [147, 407], "009481935": [147, 407], "059881e": [147, 407], "03005786": [147, 407], "014851223": [147, 407], "014280022": [147, 407], "003274885": [147, 407], "0014168955": [147, 407], "025005905": [147, 407], "9089613e": [147, 407], "022302222": [147, 407], "008999587": [147, 407], "010097562": [147, 407], "024942439": [147, 407], "012807593": [147, 407], "019547764": [147, 407], "034957495": [147, 407], "026833748": [147, 407], "7683392e": [147, 407], "0068417173": [147, 407], "011182844": [147, 407], "016907547": [147, 407], "03013402": [147, 407], "0041062995": [147, 407], "014571969": [147, 407], "02070286": [147, 407], "011335164": [147, 407], "012725086": [147, 407], "8341785e": [147, 407], "0013653288": [147, 407], "017859548": [147, 407], "0056802756": [147, 407], "006556117": [147, 407], "0033002717": [147, 407], "011398631": [147, 407], "010954363": [147, 407], "055139925": [147, 407], "009424815": [147, 407], "004959928": [147, 407], "028788524": [147, 407], "0031241516": [147, 407], "0027465243": [147, 407], "036810722": [147, 407], "0031828582": [147, 407], "005543822": [147, 407], "0026053106": [147, 407], "6973375e": [147, 407], "017935708": [147, 407], "0015406557": [147, 407], "0023911104": [147, 407], "016945627": [147, 407], "0035636588": [147, 407], "02396505": [147, 407], "01911619": [147, 407], "0029448578": [147, 407], "033408906": [147, 407], "020550538": [147, 407], "01294722": [147, 407], "011500178": [147, 407], "011988872": [147, 407], "025424786": [147, 407], "011887325": [147, 407], "038587794": [147, 407], "003395472": [147, 407], "007946039": [147, 407], "019966645": [147, 407], "033713546": [147, 407], "018189576": [147, 407], "026859134": [147, 407], "012223699": [147, 407], "024802811": [147, 407], "099946e": [147, 407], "0010448216": [147, 407], "005020221": [147, 407], "012356979": [147, 407], "007590625": [147, 407], "03089562": [147, 407], "014521196": [147, 407], "017212186": [147, 407], "024917051": [147, 407], "020169739": [147, 407], "044680603": [147, 407], "005658062": [147, 407], "013835755": [147, 407], "3776127e": [147, 407], "0028496578": [147, 407], "006467263": [147, 407], "053007443": [147, 407], "011614418": [147, 407], "0056453687": [147, 407], "16145945": [147, 407], "0091963345": [147, 407], "024548944": [147, 407], "016425198": [147, 407], "015701678": [147, 407], "862344e": [147, 407], "023190755": [147, 407], "0074509983": [147, 407], "018088028": [147, 407], "010205456": [147, 407], "010383163": [147, 407], "033028103": [147, 407], "0023324036": [147, 407], "019052723": [147, 407], "016590212": [147, 407], "4408938e": [147, 407], "02324153": [147, 407], "019623924": [147, 407], "0383847": [147, 407], "002686231": [147, 407], "0010852817": [147, 407], "0076223584": [147, 407], "002762391": [147, 407], "030540207": [147, 407], "0037667525": [147, 407], "011005137": [147, 407], "0017850028": [147, 407], "005984916": [147, 407], "0029353378": [147, 407], "02555172": [147, 407], "00855532": [147, 407], "010287963": [147, 407], "2544602e": [147, 407], "0065624635": [147, 407], "017808774": [147, 407], "03528752": [147, 407], "013188394": [147, 407], "027925376": [147, 407], "0014248289": [147, 407], "009342308": [147, 407], "0017247093": [147, 407], "023596942": [147, 407], "004709234": [147, 407], "037369233": [147, 407], "016082479": [147, 407], "0011963486": [147, 407], "00222451": [147, 407], "014165782": [147, 407], "0014414889": [147, 407], "0058865426": [147, 407], "2633766e": [147, 407], "012274472": [147, 407], "011328817": [147, 407], "0020372833": [147, 407], "0013026553": [147, 407], "00635937": [147, 407], "00651169": [147, 407], "0024672705": [147, 407], "0026640175": [147, 407], "0033669118": [147, 407], "0074763848": [147, 407], "311968e": [147, 407], "023444623": [147, 407], "017656455": [147, 407], "0065243836": [147, 407], "021832567": [147, 407], "02320345": [147, 407], "015092397": [147, 407], "034119733": [147, 407], "025983294": [147, 407], "021324834": [147, 407], "015663598": [147, 407], "00417294": [147, 407], "014965463": [147, 407], "014203862": [147, 407], "0074319583": [147, 407], "007381185": [147, 407], "0035446188": [147, 407], "009310574": [147, 407], "02562788": [147, 407], "01101783": [147, 407], "009050361": [147, 407], "010484709": [147, 407], "005835769": [147, 407], "0036620323": [147, 407], "0055565154": [147, 407], "028712364": [147, 407], "033586614": [147, 407], "027087616": [147, 407], "019509684": [147, 407], "005166195": [147, 407], "020042805": [147, 407], "019903177": [147, 407], "010738577": [147, 407], "038816273": [147, 407], "014990849": [147, 407], "025412092": [147, 407], "030464048": [147, 407], "009158255": [147, 407], "046609994": [147, 407], "9095457e": [147, 407], "0016675893": [147, 407], "012921833": [147, 407], "2828116e": [147, 407], "0033288319": [147, 407], "10784273": [147, 407], "022898808": [147, 407], "020563232": [147, 407], "020487072": [147, 407], "0063117696": [147, 407], "005299475": [147, 407], "013442261": [147, 407], "0112590045": [147, 407], "015282797": [147, 407], "013581888": [147, 407], "023723876": [147, 407], "00847916": [147, 407], "025221692": [147, 407], "028686978": [147, 407], "8655227e": [147, 407], "005169368": [147, 407], "0765446e": [147, 407], "011436711": [147, 407], "004963101": [147, 407], "0067592105": [147, 407], "007527158": [147, 407], "029854767": [147, 407], "0072098244": [147, 407], "011246311": [147, 407], "009945242": [147, 407], "017326428": [147, 407], "004052353": [147, 407], "011684231": [147, 407], "311375e": [147, 407], "026986068": [147, 407], "012801247": [147, 407], "0023815904": [147, 407], "047600072": [147, 407], "006886144": [147, 407], "004464887": [147, 407], "9809546e": [147, 407], "018684616": [147, 407], "022924196": [147, 407], "0070575043": [147, 407], "0037730993": [147, 407], "025830973": [147, 407], "029651672": [147, 407], "0046140337": [147, 407], "041710358": [147, 407], "0058960626": [147, 407], "0018706829": [147, 407], "0065878504": [147, 407], "0067338236": [147, 407], "0011431951": [147, 407], "020233205": [147, 407], "008218946": [147, 407], "015930157": [147, 407], "0024022171": [147, 407], "0051439814": [147, 407], "0120777255": [147, 407], "00895516": [147, 407], "010116602": [147, 407], "038638566": [147, 407], "0056231553": [147, 407], "840722e": [147, 407], "009754842": [147, 407], "0074256114": [147, 407], "0011773085": [147, 407], "7314436e": [147, 407], "02014435": [147, 407], "010186416": [147, 407], "0067211306": [147, 407], "015828611": [147, 407], "0043665133": [147, 407], "0112526575": [147, 407], "031073328": [147, 407], "018126108": [147, 407], "014432343": [147, 407], "0021118566": [147, 407], "017389894": [147, 407], "023635022": [147, 407], "0062736897": [147, 407], "040187154": [147, 407], "006905184": [147, 407], "0068163304": [147, 407], "0087838005": [147, 407], "010072175": [147, 407], "00832684": [147, 407], "01061799": [147, 407], "01268066": [147, 407], "0137088215": [147, 407], "007926999": [147, 407], "01711064": [147, 407], "00885996": [147, 407], "015422424": [147, 407], "0052011013": [147, 407], "022327607": [147, 407], "0092280675": [147, 407], "022251448": [147, 407], "0045251804": [147, 407], "5886433e": [147, 407], "020360138": [147, 407], "021870647": [147, 407], "013251861": [147, 407], "027595349": [147, 407], "01094167": [147, 407], "011550951": [147, 407], "0033034452": [147, 407], "026072146": [147, 407], "030032473": [147, 407], "00411582": [147, 407], "012185619": [147, 407], "0096215615": [147, 407], "002618004": [147, 407], "006575157": [147, 407], "03675995": [147, 407], "010986097": [147, 407], "023673104": [147, 407], "011900018": [147, 407], "016044399": [147, 407], "0040206197": [147, 407], "018722696": [147, 407], "0038873393": [147, 407], "011163804": [147, 407], "01919235": [147, 407], "015790531": [147, 407], "0013692954": [147, 407], "011836552": [147, 407], "005096381": [147, 407], "031200262": [147, 407], "0358968": [147, 407], "009126521": [147, 407], "013696128": [147, 407], "014711596": [147, 407], "018608455": [147, 407], "03922246": [147, 407], "0179484": [147, 407], "0069178776": [147, 407], "010909937": [147, 407], "013569194": [147, 407], "019839711": [147, 407], "024447398": [147, 407], "01086551": [147, 407], "010294309": [147, 407], "024726652": [147, 407], "016679065": [147, 407], "0013145554": [147, 407], "004617207": [147, 407], "004690194": [147, 407], "013315327": [147, 407], "0112653505": [147, 407], "0016009491": [147, 407], "003998406": [147, 407], "025272466": [147, 407], "0030051514": [147, 407], "007869879": [147, 407], "031251036": [147, 407], "005375635": [147, 407], "0046203807": [147, 407], "0030099114": [147, 407], "0071273176": [147, 407], "012020606": [147, 407], "016285572": [147, 407], "033865865": [147, 407], "04290353": [147, 407], "009107481": [147, 407], "007400225": [147, 407], "018253041": [147, 407], "016704453": [147, 407], "003957153": [147, 407], "022644943": [147, 407], "0074446513": [147, 407], "012122152": [147, 407], "0013796088": [147, 407], "019014644": [147, 407], "026909908": [147, 407], "003035298": [147, 407], "012153885": [147, 407], "020499766": [147, 407], "006010303": [147, 407], "004026966": [147, 407], "3466855e": [147, 407], "001078935": [147, 407], "0051725414": [147, 407], "0014906756": [147, 407], "009526362": [147, 407], "016310958": [147, 407], "010357776": [147, 407], "0145338895": [147, 407], "015993625": [147, 407], "025259772": [147, 407], "036937658": [147, 407], "0044014202": [147, 407], "008713987": [147, 407], "003931766": [147, 407], "0053597684": [147, 407], "02797615": [147, 407], "020093577": [147, 407], "004550567": [147, 407], "024434704": [147, 407], "0029956312": [147, 407], "6632223e": [147, 407], "51248e": [147, 407], "028915457": [147, 407], "023470009": [147, 407], "008675907": [147, 407], "014013462": [147, 407], "0031527115": [147, 407], "0018865496": [147, 407], "0033986452": [147, 407], "040974144": [147, 407], "002589444": [147, 407], "0018516429": [147, 407], "049504075": [147, 407], "00884092": [147, 407], "004541047": [147, 407], "014076929": [147, 407], "015473197": [147, 407], "0027211376": [147, 407], "031327195": [147, 407], "041126464": [147, 407], "018595763": [147, 407], "0104593225": [147, 407], "01938275": [147, 407], "0027592175": [147, 407], "setenableoutputlog": [148, 150, 234, 409, 494, 522], "setevaluationlogextend": [148, 150, 409], "setoutputlogspath": [148, 150, 153, 155, 234, 409, 415, 494, 522], "assum": [150, 409], "getniter": [151, 152, 195, 196, 412, 456], "niter": [151, 152, 195, 196, 412, 456], "poscol": [151, 152, 195, 196, 252, 412, 456, 512], "setiter": [151, 152, 412], "setposcolumn": [151, 152, 195, 196, 412, 456], "member": [152, 240, 412, 501], "helper": [152, 162, 196, 204, 226, 254, 255, 256, 261, 412, 421, 456, 463, 486, 515, 516, 517, 529, 532], "datasetpath": [152, 412], "pierr": [152, 254, 412, 515], "vinken": [152, 254, 412, 515], "34": [152, 254, 256, 412, 515, 517], "md": [152, 243, 250, 254, 412, 511, 515], "vb": [152, 252, 254, 412, 512, 515, 532], "41": [152, 154, 254, 256, 412, 414, 515, 517], "43": [152, 154, 254, 256, 412, 414, 515, 517], "dt": [152, 254, 255, 412, 515, 516, 532], "49": [152, 254, 412, 515], "anc": [152, 254, 412, 515, 532], "trainingperceptrondf": [152, 412], "trainedpo": [152, 412], "cd": [152, 252, 254, 412, 512, 515], "pos_anc": [152, 412], "25": [152, 154, 254, 256, 412, 414, 515, 517], "33": [152, 245, 256, 412, 506, 517], "detectlist": [153, 154, 414], "setcustombound": [153, 154, 155, 414, 415], "setcustomboundsstrategi": [153, 154, 414], "setdetectlist": [153, 154, 414], "setexplodesent": [153, 154, 155, 414, 415], "setsplitlength": [153, 154, 155, 414, 415], "setuseabbrevi": [153, 154, 414], "setusecustomboundsonli": [153, 154, 155, 414, 415], "custombound": [153, 154, 155, 414, 415], "customboundsstrategi": [153, 154, 414], "explodesent": [153, 154, 155, 252, 253, 414, 415, 512, 513], "splitlength": [153, 154, 155, 414, 415], "useabbrevi": [153, 154, 414], "usecustomboundsonli": [153, 154, 155, 414, 415], "epochsnumb": [153, 155, 415], "impossiblepenultim": [153, 155, 415], "modelarchitectur": [153, 155, 415], "setepochsnumb": [153, 155, 415], "setimpossiblepenultim": [153, 155, 415], "ii": [154, 414], "abbrevi": [154, 414], "period": [154, 414], "geo": [154, 414], "1026": [154, 414], "253": [154, 414], "553": [154, 414], "ellipsi": [154, 414], "quotat": [154, 414], "mark": [154, 155, 196, 414, 415, 456], "exclam": [154, 414], "breaker": [154, 414], "pragmaticcontentformatt": [154, 414], "explicitli": [154, 155, 187, 226, 414, 415, 447, 486, 526], "prepend": [154, 199, 414, 458], "break": [154, 172, 236, 237, 238, 414, 432, 497, 498], "append": [154, 183, 237, 414, 442, 498, 526], "forcibli": [154, 155, 414, 415], "99999": [154, 155, 193, 414, 415, 453], "nhow": [154, 414], "third": [154, 187, 233, 252, 261, 414, 447, 495, 512], "sentencedetectordl": [155, 170, 318, 415, 430], "imposs": [155, 196, 415, 456], "penultim": [155, 415], "eo": [155, 415], "stefan": [155, 415], "schweter": [155, 415], "sajawel": [155, 415], "ahm": [155, 415], "broken": [155, 236, 237, 415, 497], "moder": [155, 415], "lack": [155, 415], "easier": [155, 202, 415, 461, 528, 532], "polit": [155, 415], "successor": [155, 415], "great": [155, 415], "heritag": [155, 178, 415, 438], "bequeath": [155, 415], "nelson": [155, 415], "mandela": [155, 415], "epochs_numb": [155, 415], "impossible_penultim": [155, 415], "model_architectur": [155, 415], "output_logs_path": [155, 415], "validation_split": [155, 415], "sentencedl": [155, 415], "sentencesdl": [155, 415], "helen": [155, 415], "peopl": [155, 415], "decrementmultipli": [156, 157, 417], "enablescor": [156, 157, 417], "incrementmultipli": [156, 157, 417], "negativemultipli": [156, 157, 417], "positivemultipli": [156, 157, 417], "reversemultipli": [156, 157, 417], "featurelimit": [156, 158, 418], "importantfeatureratio": [156, 158, 418], "prunecorpu": [156, 158, 418], "sentimentcol": [156, 158, 418], "setprunecorpu": [156, 158, 418], "setsentimentcol": [156, 158, 418], "unimportantfeaturestep": [156, 158, 418], "els": [157, 210, 417, 470], "cool": [157, 417], "superb": [157, 417], "uninspir": [157, 417], "sentimentscor": [157, 417], "nice": [157, 234, 417, 494, 522], "multipli": 157, "decrement": 157, "increment": [157, 192, 452], "revert": 157, "entri": [157, 200, 209, 241, 417, 459, 469, 502], "sttr": [157, 417], "sda": [157, 158, 383, 417, 418], "pragmat": [157, 417], "viveknsenti": [158, 418], "analys": [158, 418], "vivek": [158, 418], "narayanan": [158, 418], "give": [158, 418], "transit": [158, 183, 418, 442], "unfrequ": [158, 418], "scope": [158, 418], "naiv": [158, 418], "bay": [158, 418], "vivekn": [158, 418], "train_senti": [158, 418], "result_senti": [158, 418], "final_senti": [158, 418], "cast": [158, 198, 418, 457], "horribl": [158, 418], "go": [158, 418, 526], "again": [158, 191, 418, 451], "anyon": [158, 418], "protagonist": [158, 418], "music": [158, 418], "boost": 158, "dirt": 158, "lookahead": 158, "unimport": 158, "sentiment_vivekn": [158, 418], "getqueri": [159, 161, 420], "setqueri": [159, 161, 203, 420, 462], "setcach": [159, 163, 422], "usecach": [159, 163, 179, 422, 439], "setsrclang": [159, 169, 172, 429, 432], "settgtlang": [159, 169, 172, 429, 432], "srclang": [159, 169, 172, 429, 432], "tgtlang": [159, 169, 172, 429, 432], "langid": [159, 170, 318, 430], "setlangid": [159, 170, 430], "setmaxinputlength": [159, 170, 318, 430], "maxnewtoken": [159, 179, 439], "setmaxnewtoken": [159, 179, 439], "setstopateo": [159, 179, 439], "setusecach": [159, 179, 439], "stopateo": [159, 179, 439], "settabl": [160, 161, 162, 419, 420, 421], "explan": [160, 161, 162, 183, 419, 420, 421, 442, 529], "phi_4_mini_instruct_q4_k_m_gguf": [160, 419], "autoggufmodeltest": [160, 419], "nthreadsdraft": [160, 161, 162, 419, 420, 421], "draft": [160, 161, 162, 221, 419, 420, 421, 481], "nthreadsbatchdraft": [160, 161, 162, 419, 420, 421], "ndraft": [160, 162, 214, 221, 419, 421, 481], "specul": [160, 161, 162, 221, 419, 420, 421, 481], "psplit": [160, 162, 419, 421], "ngpulayersdraft": [160, 161, 162, 214, 221, 419, 420, 421, 481], "modeldraft": [160, 161, 162, 214, 221, 419, 420, 421, 481], "modelalia": [160, 161, 162, 214, 221, 419, 420, 421, 481], "lookupcachestaticfilepath": [160, 161, 162, 419, 420, 421], "updat": [160, 161, 162, 183, 419, 420, 421, 442], "lookupcachedynamicfilepath": [160, 161, 162, 419, 420, 421], "inputprefixbo": [160, 161, 162, 419, 420, 421], "preced": [160, 161, 162, 419, 420, 421, 526], "systemprompt": [160, 161, 162, 214, 221, 419, 420, 421, 481], "chattempl": [160, 161, 162, 197, 210, 214, 221, 419, 420, 421, 470, 481], "chat": [160, 161, 162, 165, 167, 168, 171, 174, 175, 177, 210, 221, 419, 420, 421, 424, 427, 428, 431, 434, 435, 437, 470, 481], "templat": [160, 161, 162, 210, 221, 247, 249, 419, 420, 421, 470, 481, 508, 510], "inputprefix": [160, 161, 162, 214, 221, 419, 420, 421, 481], "inputsuffix": [160, 161, 162, 214, 221, 419, 420, 421, 481], "infil": [160, 161, 162, 221, 419, 420, 421, 481], "cacheprompt": [160, 161, 162, 214, 221, 419, 420, 421, 481], "rememb": [160, 161, 162, 183, 221, 419, 420, 421, 442, 481], "reprocess": [160, 161, 162, 221, 419, 420, 421, 481], "npredict": [160, 161, 162, 214, 221, 419, 420, 421, 481], "minp": [160, 161, 162, 214, 221, 419, 420, 421, 481], "min": [160, 161, 162, 183, 203, 221, 419, 420, 421, 442, 462, 481], "tfsz": [160, 161, 162, 214, 221, 419, 420, 421, 481], "tail": [160, 161, 162, 221, 419, 420, 421, 481], "free": [160, 161, 162, 170, 221, 318, 419, 420, 421, 430, 481], "typicalp": [160, 161, 162, 214, 221, 419, 420, 421, 481], "typic": [160, 161, 162, 166, 221, 238, 419, 420, 421, 425, 481, 499], "dynatemprang": [160, 161, 162, 221, 419, 420, 421], "dynatempexpon": [160, 161, 162, 221, 419, 420, 421], "expon": [160, 161, 162, 221, 419, 420, 421, 481], "repeatlastn": [160, 161, 162, 214, 221, 419, 420, 421, 481], "repeatpenalti": [160, 161, 162, 214, 221, 419, 420, 421, 481], "mirostat": [160, 161, 162, 214, 221, 419, 420, 421, 481], "mirostattau": [160, 161, 162, 214, 221, 419, 420, 421, 481], "entropi": [160, 161, 162, 221, 419, 420, 421, 481], "tau": [160, 161, 162, 221, 419, 420, 421, 481], "mirostateta": [160, 161, 162, 214, 221, 419, 420, 421, 481], "eta": [160, 161, 162, 221, 419, 420, 421, 481], "penalizenl": [160, 161, 162, 214, 221, 419, 420, 421, 481], "newlin": [160, 161, 162, 183, 221, 419, 420, 421, 442, 481], "nkeep": [160, 161, 162, 214, 221, 419, 420, 421, 481], "rng": [160, 161, 162, 221, 419, 420, 421, 481], "nprob": [160, 161, 162, 214, 221, 419, 420, 421, 481], "minkeep": [160, 161, 162, 214, 221, 419, 420, 421, 481], "sampler": [160, 161, 162, 214, 221, 419, 420, 421, 481], "bnf": [160, 161, 162, 221, 419, 420, 421, 481], "penaltyprompt": [160, 161, 162, 214, 221, 419, 420, 421, 481], "ignoreeo": [160, 161, 162, 214, 221, 419, 420, 421, 481], "impli": [160, 161, 162, 221, 419, 420, 421, 481], "inf": [160, 161, 162, 221, 419, 420, 421, 481], "disabletokenid": [160, 161, 162, 214, 221, 419, 420, 421, 481], "stopstr": [160, 161, 162, 214, 221, 419, 420, 421, 481], "usechattempl": [160, 161, 162, 214, 221, 419, 420, 421, 481], "setnpredict": [160, 162, 214, 221, 419, 421, 481], "setpenalizenl": [160, 162, 214, 221, 419, 421, 481], "78": [160, 175, 254, 419, 435, 515], "gguf": [160, 161, 419, 420], "rerank": [161, 203, 221, 420, 462, 481], "relevance_scor": [161, 420], "reranked_docu": [161, 203, 420, 462], "pasta": [161, 203, 420, 462], "bge_reranker_v2_m3_q4_k_m": [161, 420], "autoggufrerankertest": [161, 420], "intent": [161, 174, 211, 420, 434, 471], "piec": [161, 193, 203, 420, 453, 462], "bread": [161, 203, 256, 420, 462, 517], "girl": [161, 203, 420, 462], "babi": [161, 162, 203, 420, 421, 462], "ride": [161, 203, 420, 462], "chain": [161, 249, 420, 510], "ingest": [162, 249, 421, 510], "At": [162, 210, 236, 421, 470, 497, 527], "hasllamacppinferenceproperti": [162, 421], "hasllamacppmodelproperti": [162, 421], "preprocess": [162, 234, 236, 421, 494, 497, 522], "loadimagesasbyt": [162, 197, 207, 421, 466], "5_vl_3b_instruct_q4_k_m_gguf": [162, 421], "autoggufvisionmodeltest": [162, 421], "caption_docu": [162, 421], "imagespath": [162, 421], "setminkeep": [162, 214, 221, 421, 481], "setminp": [162, 214, 221, 421, 481], "setnprob": [162, 214, 221, 421, 481], "setrepeatlastn": [162, 214, 221, 421, 481], "setrepeatpenalti": [162, 214, 221, 421, 481], "setstopstr": [162, 214, 221, 421, 481], "settfsz": [162, 214, 221, 421, 481], "settypicalp": [162, 214, 221, 421, 481], "depict": [162, 421], "ornat": [162, 421], "ceil": [162, 421], "decor": [162, 421], "wall": [162, 421], "chair": [162, 421], "throughout": [162, 421], "cushion": [162, 421], "surfac": [162, 421], "possibli": [162, 421], "bed": [162, 421], "sofa": [162, 421], "scene": [162, 421], "sleep": [162, 421], "hold": [162, 208, 421, 468, 530], "swim": [162, 421], "aquarium": [162, 421], "seem": [162, 421], "adult": [162, 421], "young": [162, 421], "gather": [162, 240, 421, 501], "neck": [162, 421], "grass": [162, 421], "speci": [162, 421], "held": [162, 421], "black": [162, 421], "white": [162, 183, 421, 442], "chest": [162, 421], "someth": [162, 421], "anim": [162, 421], "vicin": [162, 421], "collar": [162, 421], "stare": [162, 421], "front": [162, 421], "owner": [162, 421], "comfort": [162, 421], "seat": [162, 421], "yellow": [162, 421], "wheel": [162, 421], "tire": [162, 421], "park": [162, 421], "bull": [162, 421], "horn": [162, 421], "modelpath": [162, 421], "mmprojpath": [162, 421], "captur": [163, 181, 422, 440], "past": [163, 170, 241, 318, 422, 430, 502], "incorpor": [163, 175, 422, 435], "versatil": [163, 171, 178, 422, 431, 438], "valuabl": [163, 178, 422, 438], "summari": [163, 165, 166, 167, 169, 171, 172, 173, 174, 175, 177, 179, 422, 424, 425, 427, 429, 431, 432, 433, 434, 435, 437, 439], "distilbart_xsum_12_6": [163, 422], "barttestspec": [163, 422], "ab": [163, 422], "1910": [163, 422], "13461": [163, 422], "pytorch": [163, 169, 172, 422, 429, 432], "fairseq": [163, 169, 172, 422, 429, 432], "nois": [163, 422], "reconstruct": [163, 213, 422, 473], "tranform": [163, 422], "randomli": [163, 422], "dialogu": [163, 167, 168, 174, 422, 427, 428, 434], "roug": [163, 422], "bleu": [163, 169, 172, 422, 429, 432], "ablat": [163, 422], "influenc": [163, 183, 422, 442], "rich": [163, 179, 422, 439], "rise": [163, 179, 422, 439], "methodologi": [163, 179, 422, 439], "landscap": [163, 179, 422, 439], "systemat": [163, 179, 422, 439], "dozen": [163, 179, 422, 439], "insight": [163, 179, 422, 439], "coloss": [163, 179, 422, 439], "facilit": [163, 179, 422, 439], "use_cach": [163, 422], "command": [164, 423], "c4ai": [164, 423], "highli": [164, 177, 423, 437], "rag": [164, 181, 423, 440], "c4ai_command_r_v01_int4": [164, 423], "bos_token": [164, 210, 423, 470], "start_of_turn_token": [164, 423], "user_token": [164, 423], "end_of_turn_token": [164, 423], "chatbot_token": [164, 423], "excit": [164, 167, 423, 427], "whatev": [164, 423], "minicpm": [165, 424], "unveil": [165, 424], "2b": [165, 424], "4b": [165, 177, 424, 437], "close": [165, 167, 168, 173, 174, 424, 427, 428, 433, 434], "mistral": [165, 171, 424, 431], "7b": [165, 167, 171, 173, 174, 175, 177, 178, 424, 427, 431, 433, 434, 435, 437, 438], "llama2": [165, 167, 424, 427], "13b": [165, 167, 171, 177, 178, 424, 427, 431, 437, 438], "mpt": [165, 424], "30b": [165, 424], "falcon": [165, 424], "40b": [165, 424], "mtbench": [165, 424], "closest": [165, 424], "70b": [165, 167, 168, 424, 427, 428], "vicuna": [165, 424], "33b": [165, 178, 424, 438], "v0": [165, 171, 424, 431], "zephyr": [165, 424], "dpo": [165, 424], "multimodel": [165, 424], "phi": [165, 174, 175, 176, 424, 434, 435, 436], "6b": [165, 424], "qwen": [165, 177, 424, 437], "vl": [165, 424], "deploi": [165, 170, 175, 318, 424, 430, 435, 523], "smartphon": [165, 424], "verbal": [165, 424], "cpm": [165, 424], "mini_cpm_2b_8bit": [165, 424], "shengdinghu": [165, 424], "notion": [165, 424], "d4d3a8c426424654a4e80e42a711cb20": [165, 424], "openbmb": [165, 424], "leonardo": [165, 166, 167, 171, 173, 174, 175, 177, 424, 425, 427, 431, 433, 434, 435, 437], "student": [165, 173, 174, 175, 177, 424, 433, 434, 435, 437], "california": [165, 173, 174, 175, 177, 424, 433, 434, 435, 437], "lo": [165, 424], "passion": [165, 173, 174, 175, 177, 424, 433, 434, 435, 437], "cultur": [165, 424], "plai": [165, 424], "basketbal": [165, 424], "caus": [166, 193, 425, 453], "goal": [166, 172, 196, 425, 432, 456], "direct": [166, 169, 172, 175, 425, 429, 432, 435], "10x": [166, 425], "synthet": [166, 174, 175, 425, 434, 435], "unpreced": [166, 425], "prime": [166, 425], "lengthi": [166, 425], "benefit": [166, 425], "suffici": [166, 425], "learner": [166, 425], "taskspecif": [166, 425], "webpag": [166, 236, 425, 497, 523], "webtext": [166, 425], "coqa": [166, 425], "exceed": [166, 168, 425, 428], "127": [166, 425], "fashion": [166, 181, 425, 440], "5b": [166, 177, 425, 437], "underfit": [166, 425], "reflect": [166, 169, 425, 429], "paragraph": [166, 183, 236, 237, 250, 425, 442, 497, 511], "promis": [166, 425], "1776": [166, 167, 425, 427], "came": [166, 167, 425, 427], "kingdom": [166, 167, 425, 427], "4k": [167, 175, 427, 435], "reinforc": [167, 168, 174, 177, 427, 428, 434, 437], "feedback": [167, 168, 174, 177, 427, 428, 434, 437], "rlhf": [167, 168, 177, 427, 428, 437], "safeti": [167, 168, 172, 174, 175, 427, 428, 432, 434, 435], "chatgpt": [167, 427], "llam2": [167, 174, 427, 434], "facebookresearch": [167, 168, 427, 428], "substitut": [167, 174, 427, 434], "llama_2_7b_chat_hf_int4": [167, 427], "cut": [168, 210, 428, 470], "8b": [168, 177, 428, 437], "expans": [168, 428], "offer": [168, 171, 173, 428, 431, 433, 526, 528, 531], "known": [168, 428], "llama3": [168, 428], "llama_3_7b_instruct_hf_int4": [168, 428], "latest": [168, 428], "meta": [168, 234, 428, 494, 524], "commerci": [168, 170, 173, 318, 428, 430, 433], "aim": [168, 172, 181, 428, 432, 440], "foster": [168, 428], "collabor": [168, 178, 428, 438], "minion": [168, 428], "chatbot": [168, 428], "respond": [168, 210, 428, 470], "speak": [168, 428], "oooh": [168, 428], "yeah": [168, 428], "bana": [168, 428], "na": [168, 428], "m2m100": [169, 429], "seq": [169, 172, 429, 432], "900": [169, 429], "m2m100_418m": [169, 429], "beyond": [169, 172, 429, 432], "worldwid": [169, 429], "spars": [169, 172, 429, 432], "focu": [169, 172, 175, 429, 432, 435], "wmt": [169, 429], "m2m": [169, 429], "\u751f\u6d3b\u5c31\u50cf\u4e00\u76d2\u5de7\u514b\u529b": [169, 172, 429, 432], "life": [169, 172, 429, 432], "chocol": [169, 172, 429, 432], "marian": [170, 318, 430], "mainli": [170, 318, 430], "academ": [170, 175, 318, 430, 435], "notabl": [170, 171, 318, 430, 431], "edinburgh": [170, 318, 430], "adam": [170, 318, 430], "mickiewicz": [170, 318, 430], "pozna\u0144": [170, 318, 430], "contributor": [170, 318, 430], "mariannmt": [170, 318, 430], "behind": [170, 172, 173, 174, 177, 318, 430, 432, 433, 434, 437], "opus_mt_en_fr": [170, 318, 430], "differenti": [170, 318, 430], "toolkit": [170, 318, 430], "capit": [170, 183, 237, 238, 318, 430, 442], "quell": [170, 318, 430], "capital": [170, 318, 430], "devrait": [170, 318, 430], "savoir": [170, 318, 430], "fran\u00e7ai": [170, 318, 430], "34b": [171, 178, 431, 438], "strike": [171, 431], "balanc": [171, 221, 431, 481], "rival": [171, 175, 431, 435], "codellama": [171, 178, 431, 438], "latter": [171, 431], "gqa": [171, 177, 431, 437], "quicker": [171, 431], "compromis": [171, 431], "streamlin": [171, 234, 431, 494, 522], "smoother": [171, 431], "slide": [171, 177, 237, 250, 431, 437, 498, 511], "swa": [171, 177, 431, 437], "reliabl": [171, 234, 431, 494, 522], "mistral_7b": [171, 431], "mistralai": [171, 431], "coupl": [171, 431], "da": [171, 431], "vinci": [171, 431], "invent": [171, 431], "microscop": [171, 431], "No": [171, 172, 221, 253, 431, 432, 481, 513, 525], "late": [171, 431], "16th": [171, 431], "nllb": [172, 432], "nllb_distilled_600m_8int": [172, 432], "driven": [172, 432], "erad": [172, 432], "barrier": [172, 432], "solidifi": [172, 432], "artifici": [172, 173, 174, 175, 177, 432, 433, 434, 435, 437], "intellig": [172, 173, 174, 175, 177, 432, 433, 434, 435, 437], "effort": [172, 173, 432, 433], "coalesc": [172, 432], "leav": [172, 432], "vast": [172, 432], "major": [172, 432], "mostli": [172, 432], "safe": [172, 432], "ethic": [172, 432], "consider": [172, 432], "exploratori": [172, 432], "interview": [172, 432], "nativ": [172, 432, 523], "speaker": [172, 236, 237, 432, 497, 498], "narrow": [172, 432], "gate": [172, 173, 432, 433], "expert": [172, 432], "counteract": [172, 432], "overfit": [172, 432], "flore": [172, 432], "assess": [172, 174, 175, 432, 434, 435], "groundwork": [172, 432], "realiz": [172, 432], "zho_han": [172, 432], "eng_latn": [172, 432], "olmo": [173, 433], "dolma": [173, 433], "soon": [173, 433], "olmo_1b_int4": [173, 433], "lm": [173, 183, 433, 442], "surg": [173, 433], "interfac": [173, 234, 236, 249, 433, 494, 497, 510, 522, 530], "undisclos": [173, 433], "scientif": [173, 178, 433, 438], "risk": [173, 433], "believ": [173, 433], "hope": [173, 433], "empow": [173, 433], "strengthen": [173, 433], "wave": [173, 433], "innov": [173, 175, 433, 435], "skill": [173, 174, 175, 177, 433, 434, 435, 437], "textbook": [174, 434], "augment": [174, 434], "websit": [174, 175, 434, 435], "educ": [174, 434], "sens": [174, 175, 434, 435, 531], "showcas": [174, 175, 177, 434, 435, 437], "nearli": [174, 434], "hasn": [174, 434], "craft": [174, 434], "vital": [174, 434], "societ": [174, 434], "phi2": [174, 434], "medium": [175, 435], "14b": [175, 176, 177, 435, 436, 437], "underw": [175, 435], "post": [175, 203, 435, 462], "math": [175, 177, 178, 435, 437, 438], "phi3": [175, 435], "phi_3_mini_128k_instruct": [175, 435], "big": [175, 236, 250, 435, 497, 511], "trillion": [175, 178, 435, 438], "mixtral": [175, 435], "8x7b": [175, 435], "69": [175, 254, 435, 515], "mmlu": [175, 435], "mt": [175, 435], "bench": [175, 435], "enough": [175, 435], "compos": [175, 435], "heavili": [175, 435], "8t": [175, 176, 435, 436], "moreov": [175, 435], "2412": [176, 436], "08905": [176, 436], "phi4": [176, 436], "qwen1": [177, 437], "72b": [177, 437], "stabl": [177, 437], "32k": [177, 437], "swiglu": [177, 437], "qkv": [177, 437], "qwenlm": [177, 437], "revolution": [177, 437], "thought": [177, 437], "instal": [177, 234, 261, 437, 494, 524], "encompass": [177, 437], "distinct": [177, 437], "multitud": [177, 437], "possess": [177, 437], "plan": [177, 196, 437, 456], "impress": [177, 437], "bigger": [177, 437], "qwen_7": [177, 437], "5b_chat": [177, 437], "starcoder2": [178, 438], "predecessor": [178, 438], "starcoder2transform": [178, 438], "bigcod": [178, 438], "starcod": [178, 438], "partnership": [178, 438], "swh": [178, 438], "stack": [178, 438], "digit": [178, 438], "archiv": [178, 438], "619": [178, 438], "15b": [178, 438], "thoroughli": [178, 438], "starcoderbas": [178, 438], "twice": [178, 438], "although": [178, 438], "deepseekcod": [178, 438], "openrail": [178, 438], "transpar": [178, 438], "regard": [178, 220, 438, 480], "swhid": [178, 438], "def": [178, 226, 438, 486], "t5": [179, 439], "reconsid": [179, 439], "hyper": [179, 439], "t5_small": [179, 439], "encount": [179, 439], "aggregationmethod": [180, 181, 440], "asretriev": [180, 181, 440], "asretrieverqueri": [180, 181, 440], "bucketlength": [180, 181, 440], "identityrank": [180, 181, 440], "numhasht": [180, 181, 440], "numberofneighbour": [180, 181, 440], "setaggregationmethod": [180, 181, 440], "setbucketlength": [180, 181, 440], "setidentityrank": [180, 181, 440], "setnumhasht": [180, 181, 440], "setnumberofneighbour": [180, 181, 440], "setsimilaritymethod": [180, 181, 440], "setvisibledist": [180, 181, 440], "similaritymethod": [180, 181, 440], "visibledist": [180, 181, 440], "extractnearestneighbor": [180, 181, 440], "getoutputcol": [180, 181, 197, 198, 200, 201, 202, 203, 207, 209, 214, 217, 440, 457, 459, 460, 461, 462, 466, 469, 476], "outputcol": [180, 181, 197, 198, 200, 201, 202, 203, 204, 207, 209, 210, 214, 217, 235, 237, 238, 245, 440, 457, 459, 460, 461, 462, 463, 466, 469, 470, 476, 498, 499, 506], "setextractnearestneighbor": [180, 181, 440], "documentsimilarityrank": [181, 440], "lsh": [181, 440], "lib": [181, 440], "execut": [181, 208, 221, 249, 348, 440, 468, 481, 510, 526, 530], "ranker": [181, 440], "jupyt": [181, 234, 260, 440, 494, 522], "doc_similarity_rank": [181, 214, 218, 440, 477], "enablecach": [181, 214, 221, 440, 481], "rdd": [181, 221, 440, 481], "neighbour": [181, 440], "brp": [181, 440], "bucket": [181, 440], "euclidean": [181, 440], "hash": [181, 440], "debug": [181, 440], "document_similarity_ranker_finish": [181, 440], "finished_doc_similarity_rankings_id": [181, 440], "finished_doc_similarity_rankings_neighbor": [181, 440], "docsimrankerpipelin": [181, 440], "1510101612": [181, 440], "1634839239": [181, 440], "12448559591306324": [181, 440], "612640902": [181, 440], "1274183715": [181, 440], "1220122862046063": [181, 440], "1320876223": [181, 440], "1293373212": [181, 440], "17848855164122393": [181, 440], "1548374770": [181, 440], "1719102856": [181, 440], "23297156732534166": [181, 440], "wise": [181, 440], "inclus": [181, 440], "visibl": [181, 440], "addregexclass": [182, 183, 442], "addvocabclass": [182, 183, 442], "casestrategi": [182, 183, 442], "classcount": [182, 183, 442], "compoundcount": [182, 183, 442], "errorthreshold": [182, 183, 442], "finalr": [182, 183, 442], "initialr": [182, 183, 442], "languagemodelclass": [182, 183, 442], "maxcandid": [182, 183, 442], "maxsentlen": [182, 183, 442], "maxwindowlen": [182, 183, 442], "setcasestrategi": [182, 183, 442], "setclasscount": [182, 183, 442], "setcompoundcount": [182, 183, 442], "setepoch": [182, 183, 442], "seterrorthreshold": [182, 183, 442], "setfinalr": [182, 183, 442], "setinitialr": [182, 183, 442], "setlanguagemodelclass": [182, 183, 442], "setmaxcandid": [182, 183, 442], "setmaxsentlen": [182, 183, 442], "setmaxwindowlen": [182, 183, 442], "settradeoff": [182, 183, 442], "setvalidationfract": [182, 183, 442], "setweighteddistpath": [182, 183, 442], "setwordmaxdist": [182, 183, 442], "tradeoff": [182, 183, 442], "validationfract": [182, 183, 442], "weighteddistpath": [182, 183, 442], "wordmaxdist": [182, 183, 442], "comparelowcas": [182, 183, 442], "correctsymbol": [182, 183, 442], "gamma": [182, 183, 442], "getwordclass": [182, 183, 442], "idsvocab": [182, 183, 442], "setclass": [182, 183, 442], "setcomparelowcas": [182, 183, 442], "setcorrectsymbol": [182, 183, 442], "setgamma": [182, 183, 442], "setidsvocab": [182, 183, 442], "setvocabfreq": [182, 183, 442], "setvocabid": [182, 183, 442], "setweight": [182, 183, 442], "updateregexclass": [182, 183, 442], "updatevocabclass": [182, 183, 442], "vocabfreq": [182, 183, 442], "vocabid": [182, 183, 442], "doublevari": [182, 184, 444], "dupslimit": [182, 184, 185, 444, 445], "frequencyprior": [182, 184, 444], "intersect": [182, 184, 444], "reductlimit": [182, 184, 444], "setdoublevari": [182, 184, 444], "setfrequencyprior": [182, 184, 444], "setshortcircuit": [182, 184, 444], "shortcircuit": [182, 184, 444], "vowelswaplimit": [182, 184, 444], "wordsizeignor": [182, 184, 444], "deletesthreshold": [182, 185, 445], "frequencythreshold": [182, 185, 195, 196, 445, 456], "maxeditdist": [182, 185, 445], "setdeletesthreshold": [182, 185, 445], "setfrequencythreshold": [182, 185, 195, 196, 445, 456], "setmaxeditdist": [182, 185, 445], "spell": [182, 183, 184, 185, 208, 213, 258, 383, 442, 443, 444, 445, 468, 473, 529, 530, 531], "contextspellcheck": [183, 442], "noisi": [183, 442], "surround": [183, 212, 442, 472], "edit": [183, 184, 185, 442, 444, 445], "subword": [183, 442], "checker": [183, 184, 185, 442, 444, 445, 529], "uppercas": [183, 442], "perplex": [183, 442], "nlm": [183, 442], "datapoint": [183, 442], "vocab": [183, 442], "compound": [183, 442], "levenshtein": [183, 184, 185, 442, 444, 445], "depth": [183, 442, 529], "spellcheck": [183, 184, 185, 442, 444, 445], "1650": [183, 442], "_name_": [183, 442], "userdist": [183, 442], "sentlen": [183, 442], "fraction": [183, 442], "dist": [183, 442], "spellcheck_dl": [183, 442], "decis": [183, 442], "usenewlin": [183, 442], "cold": [183, 442], "dreari": [183, 442], "smow": [183, 442], "norvigsweet": [184, 444], "norvig": [184, 444], "bayesian": [184, 444], "tokenpattern": [184, 444], "ham": [184, 444], "duplic": [184, 185, 444], "vowel": [184, 444], "corrector": [184, 444], "gummi": [184, 185, 444, 445], "gummic": [184, 185, 444, 445], "gummier": [184, 185, 444, 445], "gummiest": [184, 185, 444, 445], "gummifer": [184, 185, 444, 445], "basi": [184, 185, 444, 445], "sensitivti": 184, "token_pattern": [184, 185, 444, 445], "symmetr": [184, 185, 444, 445], "delet": [184, 185, 444, 445, 526], "damerau": [184, 185, 444, 445], "transpos": [184, 185, 444, 445], "spellcheck_norvig": [184, 444], "symspel": [184, 185, 444, 445], "somtim": [184, 444], "wrrite": [184, 185, 444, 445], "wordz": [184, 185, 444, 445], "erong": [184, 185, 444, 445], "sometim": [184, 185, 444, 445, 526], "wrong": [184, 185, 444, 445], "symmetricdelet": [185, 445], "teach": [185, 445], "patttern": [185, 445], "spellcheck_sd": [185, 445], "spmetim": [185, 445], "employ": [186, 446], "mllib": [187, 447, 523], "stopwordsremov": [187, 447], "cleantoken": [187, 201, 213, 447, 460, 473], "stopwords_en": [187, 447], "forth": [187, 447], "defaultparamswrit": 188, "defaultparamsread": 188, "assertiondlapproach": [188, 448], "medicalnerapproach": [188, 448], "srt": [188, 448], "greaph": [188, 448], "infix": [189, 191, 193, 451, 453], "setinfix": [189, 191, 451], "setprefix": [189, 191, 451], "positionalmask": [189, 192, 452], "setpositionalmask": [189, 192, 452], "settolowercas": [189, 192, 195, 196, 452, 456], "tolowercas": [189, 192, 195, 196, 452, 456], "addcontextchar": [189, 193, 453], "addexcept": [189, 193, 453], "addinfixpattern": [189, 193, 453], "addsplitchar": [189, 193, 453], "casesensitiveexcept": [189, 193, 453], "contextchar": [189, 193, 453], "exceptionspath": [189, 193, 453], "getcasesensitiveexcept": [189, 193, 453], "getcontextchar": [189, 193, 453], "getexcept": [189, 193, 453], "getinfixpattern": [189, 193, 453], "getprefixpattern": [189, 193, 453], "getsplitchar": [189, 193, 453], "getsuffixpattern": [189, 193, 453], "infixpattern": [189, 193, 453], "prefixpattern": [189, 193, 453], "setcasesensitiveexcept": [189, 193, 453], "setexcept": [189, 193, 453], "setexceptionspath": [189, 193, 453], "setinfixpattern": [189, 193, 453], "setprefixpattern": [189, 193, 453], "setsplitchar": [189, 193, 453], "setsuffixpattern": [189, 193, 453], "settargetpattern": [189, 193, 453], "splitchar": [189, 193, 453], "suffixpattern": [189, 193, 453], "targetpattern": [189, 193, 453], "flatten": [190, 237, 449, 498], "artist": [190, 449], "benezar": [190, 449], "robert": [190, 449], "farendel": [190, 449], "graduat": [190, 449], "luca": [190, 449], "qam": [191, 451], "guarante": [192, 452], "flag": [192, 452], "eventu": [192, 452], "nthi": [192, 452], "tokenizedsent": [193, 453], "rulefactori": [193, 220, 453, 480], "grab": [193, 453], "sub": [193, 453], "won": [193, 453], "didn": [193, 453], "jane": [193, 453], "boyfriend": [193, 453], "token_rul": [193, 453], "factori": 193, "17": [194, 254, 256, 454, 515, 517], "ambiguitythreshold": [195, 196, 456], "enableregextoken": [195, 196, 456], "getambiguitythreshold": [195, 196, 456], "getfrequencythreshold": [195, 196, 456], "setambiguitythreshold": [195, 196, 456], "setenableregextoken": [195, 196, 456], "setniter": [195, 196, 456], "wordsegment": [196, 456], "korean": [196, 456], "japanes": [196, 456], "correspond": [196, 234, 237, 245, 456, 494], "rr": [196, 456], "likewis": [196, 456], "themselv": [196, 456], "\u4e0a\u6d77": [196, 456], "\u8ba1\u5212": [196, 456], "\u5230": [196, 456], "\u672c": [196, 456], "\u4e16\u7eaa": [196, 456], "\u672b": [196, 456], "\u5b9e\u73b0": [196, 456], "\u4eba\u5747": [196, 456], "\u56fd\u5185": [196, 456], "\u751f\u4ea7": [196, 456], "\u603b\u503c": [196, 456], "\u4e94\u5343": [196, 456], "\u7f8e\u5143": [196, 456], "\u4e0a": [196, 456], "\u6d77": [196, 456], "\u8ba1": [196, 456], "\u5212": [196, 456], "\u4e16": [196, 456], "\u7eaa": [196, 456], "\u5b9e": [196, 456], "\u73b0": [196, 456], "\u4eba": [196, 456], "\u5747": [196, 456], "\u56fd": [196, 456], "\u5185": [196, 456], "\u751f": [196, 456], "\u4ea7": [196, 456], "\u603b": [196, 456], "ll\u503c": [196, 456], "\u4e94": [196, 456], "\u5343": [196, 456], "\u7f8e": [196, 456], "\u5143": [196, 456], "shanghai": [196, 456], "dollar": [196, 456], "capita": [196, 456], "gdp": [196, 456], "tip": [196, 456], "frame": [196, 456], "frequent": [196, 456], "xue": [196, 456], "nianwen": [196, 456], "volum": [196, 456], "februari": [196, 456], "aclweb": [196, 456], "aclanthologi": [196, 456], "o03": [196, 456], "4002": [196, 456], "chinese_train": [196, 456], "utf8": [196, 456], "\u5341": [196, 456], "\u56db": [196, 456], "\u4e0d": [196, 456], "\u662f": [196, 456], "trainingdataset": [196, 456], "plit": [196, 456], "words_seg": [196, 456], "wordseg_pku": [196, 456], "zh": [196, 456], "\u7136\u800c": [196, 456], "\u9019\u6a23\u7684\u8655\u7406\u4e5f\u884d\u751f\u4e86\u4e00\u4e9b\u554f\u984c": [196, 456], "\u9019\u6a23": [196, 456], "\u7684": [196, 456], "\u8655\u7406": [196, 456], "\u4e5f": [196, 456], "\u884d\u751f": [196, 456], "\u4e86": [196, 456], "\u4e00\u4e9b": [196, 456], "\u554f\u984c": [196, 456], "chunkcol": [197, 199, 458], "failonmiss": [197, 199, 458], "isarrai": [197, 199, 458], "setchunkcol": [197, 199, 458], "setfailonmiss": [197, 199, 458], "setisarrai": [197, 199, 458], "setstartcol": [197, 199, 458], "setstartcolbytokenindex": [197, 199, 458], "startcol": [197, 199, 458], "startcolbytokenindex": [197, 199, 458], "cleanupmod": [197, 200, 209, 459, 469], "idcol": [197, 200, 209, 459, 469], "metadatacol": [197, 200, 209, 459, 469], "setidcol": [197, 200, 209, 459, 469], "setmetadatacol": [197, 200, 209, 459, 469], "cleanannot": [197, 201, 202, 204, 460, 461, 463], "outputasvector": [197, 201, 460], "annotationsplitsymbol": [197, 202, 461], "includemetadata": [197, 202, 461], "outputasarrai": [197, 202, 204, 461, 463], "parseembeddingsvector": [197, 202, 461], "setannotationsplitsymbol": [197, 202, 461], "setincludemetadata": [197, 202, 461, 527], "setoutputasarrai": [197, 202, 204, 461, 463], "setparseembeddingsvector": [197, 202, 461], "setvaluesplitsymbol": [197, 202, 461], "valuesplitsymbol": [197, 202, 461], "getminmaxsc": [197, 203, 462], "getminrelevancescor": [197, 203, 462], "gettopk": [197, 203, 462], "minmaxsc": [197, 203, 462], "minrelevancescor": [197, 203, 462], "setminmaxsc": [197, 203, 462], "setminrelevancescor": [197, 203, 462], "settextcol": [197, 207, 466], "textcol": [197, 207, 252, 253, 466, 512, 513], "fullannot": [197, 208, 239, 240, 468, 501], "fullannotateimag": [197, 208, 239, 240, 468, 501], "getignoreunsupport": [197, 208, 468], "setignoreunsupport": [197, 208, 468], "addassist": [197, 210, 470], "setaddassist": [197, 210, 470], "setchattempl": [197, 210, 214, 221, 470, 481], "csvdelimit": [197, 212, 472], "escapecsvdelimit": [197, 212, 472], "setcsvdelimit": [197, 212, 472], "setescapecsvdelimit": [197, 212, 472], "inferschema": [198, 457], "librispeech_asr_dummy_clean_audio_array_parquet": [198, 457], "float_arrai": [198, 457], "stringtyp": [199, 226, 259, 458], "fail": [199, 348, 458], "chunkassembl": [199, 458], "cleanup": [200, 209, 459, 469], "inplac": [200, 209, 459, 469], "inplace_ful": [200, 209, 459, 469], "shrink_ful": [200, 209, 459, 469], "each_ful": [200, 209, 459, 469], "delete_ful": [200, 209, 459, 469], "usabl": [201, 460], "lda": [201, 460], "forest": [201, 460], "featurecol": [201, 460], "gloveembed": [201, 460], "finished_sentence_embed": [201, 460], "resultwiths": [201, 460], "1619900017976761": [201, 460], "045552998781204224": [201, 460], "03229299932718277": [201, 460], "685609996318": [201, 460], "42416998744010925": [201, 460], "1378999948501587": [201, 460], "5717899799346924": [201, 460], "5078899860382": [201, 460], "08621499687433243": [201, 460], "15772999823093414": [201, 460], "06067200005054474": [201, 460], "395359992980": [201, 460], "4970499873161316": [201, 460], "7164199948310852": [201, 460], "40119001269340515": [201, 460], "05761000141501": [201, 460], "08170200139284134": [201, 460], "7159299850463867": [201, 460], "20677000284194946": [201, 460], "0295659992843": [201, 460], "ouput": 201, "sort": [203, 235, 237, 243, 245, 462, 498, 506], "descend": [203, 462], "ranked_docu": [203, 462], "minvalu": [203, 462], "finishedresult": [204, 463], "java_obj": [205, 230, 232, 464, 490, 493], "javaobject": [205, 206, 232, 464, 465, 493], "abc": [205, 232], "classmethod": [207, 228, 466, 488], "png": [207, 466], "gif": [207, 466], "bmp": [207, 466], "parse_embed": [208, 240, 468, 501], "principl": [208, 468, 530], "everyth": [208, 468, 530, 531], "happi": [208, 468, 525, 527, 530, 531], "prp": [208, 253, 254, 468, 513, 515, 525, 530, 531, 532], "rb": [208, 254, 468, 515, 525, 530, 531, 532], "optional_target": [208, 240, 468, 501], "explain_document_pipelin": [208, 226, 240, 468, 486, 501, 525, 530, 531], "dict_kei": [208, 240, 468, 501], "path_to_imag": [208, 240, 468, 501], "unsupport": [208, 468], "text2": [209, 469], "document1": [209, 469], "document2": [209, 469], "assembl": [210, 237, 470, 498], "messag": [210, 247, 249, 348, 470, 508, 510, 524], "df": [210, 236, 470, 497], "custom_tool": [210, 470], "endif": [210, 470], "tools_in_user_messag": [210, 470], "date_str": [210, 470], "jul": [210, 470], "2024": [210, 470], "block": [210, 236, 237, 470, 497, 498], "slot": [210, 470], "system_messag": [210, 470], "builtin": [210, 470], "builtin_tool": [210, 470], "environ": [210, 260, 348, 470, 523], "ipython": [210, 470], "reject": [210, 252, 470, 512, 532], "equalto": [210, 470], "code_interpret": [210, 470], "decemb": [210, 470], "2023": [210, 470], "argument": [210, 241, 258, 348, 470, 502, 519], "tojson": [210, 470], "indent": [210, 470], "endfor": [210, 470], "guidanc": [210, 470], "plug": [210, 470], "first_user_messag": [210, 470], "raise_except": [210, 470], "proper": [210, 470], "tool_cal": [210, 470], "elif": [210, 470], "python_tag": [210, 470], "arg_nam": [210, 470], "arg_val": [210, 470], "eom_id": [210, 470], "add_generation_prompt": [210, 470], "nhello": [210, 470], "arg": [211, 228, 230, 259, 471, 490, 520], "decid": [211, 237, 471], "behav": [211, 471], "exactli": [211, 471], "pipeline_model": [211, 234, 245, 246, 249, 468, 471, 494, 506, 507, 510, 522], "tab": [212, 234, 472, 494, 522], "escap": [212, 472], "quot": [212, 472], "defailt": [212, 472], "comma": [212, 472], "table_csv": [212, 472], "csv_data": [212, 472], "input_format": [212, 472], "cleantext": [213, 473], "opensourc": [213, 473], "getlazyannot": [214, 217, 476], "lazyannot": [214, 217, 476], "setlazyannot": [214, 217, 476], "features": [214, 221, 481], "paddingsid": [214, 221, 481], "paddingvalu": [214, 221, 481], "returnattentionmask": [214, 221, 481], "samplingr": [214, 221, 481], "setdonorm": [214, 221, 481], "setfeatures": [214, 221, 481], "setpaddingsid": [214, 221, 481], "setpaddingvalu": [214, 221, 481], "setreturnattentionmask": [214, 221, 481], "setsamplingr": [214, 221, 481], "getbatchs": [214, 221, 481], "contradictionidparam": [214, 221, 481], "entailmentidparam": [214, 221, 481], "setcontradictionidparam": [214, 221, 481], "setentailmentidparam": [214, 221, 481], "getcasesensit": [214, 221, 481], "getactiv": [214, 221, 481], "getmultilabel": [214, 221, 481], "multilabel": [214, 221, 481], "setactiv": [214, 221, 481], "setmultilabel": [214, 221, 481], "getuseclstoken": [214, 221, 481], "setuseclstoken": [214, 221, 481], "getdimens": [214, 221, 481], "getenablecach": [214, 221, 481], "setenablecach": [214, 221, 481], "getengin": [214, 221, 481], "setnreturnsequ": [214, 221, 481], "setdores": [214, 221, 481], "setfeatureextractortyp": [214, 221, 481], "setimagemean": [214, 221, 481], "setimagestd": [214, 221, 481], "setresampl": [214, 221, 481], "disablelog": [214, 221, 481], "dynamictemperatureexpon": [214, 221, 481], "dynamictemperaturerang": [214, 221, 481], "logverbos": [214, 221, 481], "setcacheprompt": [214, 221, 481], "setdisablelog": [214, 221, 481], "setdisabletokenid": [214, 221, 481], "setdynamictemperatureexpon": [214, 221, 481], "setdynamictemperaturerang": [214, 221, 481], "setgrammar": [214, 221, 481], "setignoreeo": [214, 221, 481], "setinputprefix": [214, 221, 481], "setinputsuffix": [214, 221, 481], "setlogverbos": [214, 221, 481], "setmirostat": [214, 221, 481], "setmirostateta": [214, 221, 481], "setmirostattau": [214, 221, 481], "setmodelalia": [214, 221, 481], "setmodeldraft": [214, 221, 481], "setndraft": [214, 221, 481], "setngpulayersdraft": [214, 221, 481], "setnkeep": [214, 221, 481], "setpenaltyprompt": [214, 221, 481], "setsampl": [214, 221, 481], "setsystemprompt": [214, 221, 481], "settokenbia": [214, 221, 481], "settokenidbia": [214, 221, 481], "setusechattempl": [214, 221, 481], "max_length_limit": [214, 221, 481], "getmaxsentencelength": [214, 221, 481], "getstoragepath": [214, 224, 484], "storagepath": [214, 224, 484], "savestorag": [214, 224, 484], "enableinmemorystorag": [214, 224, 484], "getenableinmemorystorag": [214, 224, 484], "getincludestorag": [214, 224, 484], "includestorag": [214, 224, 484], "setenableinmemorystorag": [214, 224, 484], "setincludestorag": [214, 224, 484], "getstorageref": [214, 224, 484], "storageref": [214, 224, 484], "lazili": [217, 476], "renam": 217, "lazi": 217, "cov_obj": [219, 478], "recal": [221, 481], "spread": [221, 481], "evenli": [221, 481], "isol": [221, 481], "spawn": [221, 481], "cpu": [221, 481], "numa_ctl": [221, 481], "numactl": [221, 481], "mirror": [221, 481], "tokenbia": [221, 481], "tokenidbia": [221, 481], "fo": [225, 485], "output_column": [226, 486], "vbz": [226, 252, 486, 512, 532], "f": [226, 234, 237, 245, 246, 486, 494, 498, 507, 522], "filter_po": [226, 486], "epeu": [226, 486], "output_typ": [226, 486], "udf": [226, 486], "userdefinedfunct": [226, 486], "nnp_token": [226, 486], "lambda": [226, 486], "annotatyon_typ": [226, 486], "structfield": [226, 259], "integertyp": [226, 259], "maptyp": 226, "floattyp": 226, "chunks_df": [226, 486], "pos_chunk": [226, 486], "getdatafram": [227, 230, 490], "new_java_arrai": [227, 230, 490], "new_java_array_integ": [227, 230, 490], "new_java_array_str": [227, 230, 490], "new_java_obj": [227, 230, 490], "spark_vers": [227, 230, 490], "getparamvalu": [227, 231, 492], "getter_attr": [227, 231, 492], "setparamvalu": [227, 231, 492], "transform_recurs": [227, 232, 493], "kwd": 228, "javamlread": [228, 245, 488], "mlreader": [228, 488], "clazz": [228, 488], "rl": [228, 488], "javatransform": [229, 245], "javawrapp": [230, 490], "jdf": [230, 490], "pylist": [230, 490], "java_class": [230, 490], "todo": [230, 490], "paramnam": [231, 492], "log_asset": [233, 234, 494], "log_asset_data": [233, 234, 494], "log_completed_run": [233, 234, 494], "log_metr": [233, 234, 494, 522], "log_paramet": [233, 234, 494], "log_pipeline_paramet": [233, 234, 494, 522], "log_visu": [233, 234, 494, 522], "parti": [233, 261, 495], "workspac": [234, 494], "project_nam": [234, 494, 522], "comet_mod": [234, 494, 522], "experiment_id": [234, 494], "experiment_kwarg": [234, 494], "logger": [234, 494, 522], "practition": [234, 494, 522], "lifecycl": [234, 494, 522, 524], "track": [234, 494, 522, 523], "outputlogpath": [234, 494, 522], "onlin": [234, 494, 522], "reus": [234, 238, 246, 247, 494, 499, 507, 508], "importerror": [234, 494], "output_log_path": [234, 494, 522], "embd": [234, 494, 522], "logdir": [234, 494, 522], "attribut": [234, 348], "comet_ml": [234, 494, 522], "submit": [234, 260, 494, 522], "outstand": [234, 494], "asset_path": [234, 494], "upload": [234, 258, 494, 519], "asset": [234, 494], "attach": [234, 236, 237, 250, 408, 409, 476, 481, 492, 494, 497, 498, 511], "log_file_path": [234, 494], "sklearn": [234, 494, 522], "multilabelbinar": [234, 494, 522], "classification_report": [234, 494, 522], "preds_df": [234, 494, 522], "topanda": [234, 494, 522], "mlb": [234, 494, 522], "y_true": [234, 494, 522], "fit_transform": [234, 494, 522], "y_pred": [234, 494, 522], "output_dict": [234, 494, 522], "html": [234, 236, 237, 238, 243, 246, 247, 249, 250, 494, 497, 498, 499, 507, 508, 510, 511, 522], "viz": [234, 494, 522], "colum": [234, 494, 522], "ner_chunk": [234, 494, 522], "sparknlp_displai": [234, 494, 522], "nervisu": [234, 494, 522], "idx": [234, 494, 522], "enumer": [234, 494, 522], "label_col": [234, 494, 522], "document_col": [234, 494, 522], "return_html": [234, 494, 522], "interv": [234, 494], "refresh": [234, 494], "partition_text": [235, 236, 497], "partition_url": [235, 236, 497], "chunkingstrategi": [235, 237, 498], "combinetextundernchar": [235, 237, 498], "maxcharact": [235, 237, 498], "newafternchar": [235, 237, 498], "overlapal": [235, 237, 498], "setchunkingstrategi": [235, 237, 498], "setcombinetextundernchar": [235, 237, 498], "setmaxcharact": [235, 237, 498], "setnewafternchar": [235, 237, 498], "setoverlap": [235, 237, 498], "setoverlapal": [235, 237, 498], "addattachmentcont": [235, 237, 498], "getaddattachmentcont": [235, 237, 498], "setaddattachmentcont": [235, 237, 498], "appendcel": [235, 237, 498], "cellsepar": [235, 237, 498], "getappendcel": [235, 237, 498], "getcellsepar": [235, 237, 498], "setappendcel": [235, 237, 498], "setcellsepar": [235, 237, 498], "gettimeout": [235, 237, 498], "sethead": [235, 237, 238, 498, 499], "settimeout": [235, 237, 498], "timeout": [235, 236, 237, 497, 498], "extractcoordin": [235, 237, 243, 245, 498, 506], "normalizeligatur": [235, 237, 243, 245, 498, 506], "onlypagenum": [235, 237, 243, 245, 498, 506], "origincol": [235, 237, 498], "pagenumcol": [235, 237, 243, 245, 498, 506], "partitionnum": [235, 237, 243, 245, 498, 506], "readasimag": [235, 237, 498], "setextractcoordin": [235, 237, 243, 245, 498, 506], "setnormalizeligatur": [235, 237, 243, 245, 498, 506], "setonlypagenum": [235, 237, 243, 245, 498, 506], "setorigincol": [235, 237, 498], "setpagenumcol": [235, 237, 243, 245, 498, 506], "setpartitionnum": [235, 237, 243, 245, 498, 506], "setreadasimag": [235, 237, 498], "setsort": [235, 237, 243, 245, 498, 506], "setsplitpag": [235, 237, 243, 245, 498, 506], "setstoresplittedpdf": [235, 237, 243, 245, 498, 506], "settextstripp": [235, 237, 243, 245, 498, 506], "splitpag": [235, 237, 243, 245, 498, 506], "storesplittedpdf": [235, 237, 243, 245, 498, 506], "textstripp": [235, 237, 243, 245, 498, 506], "getincludeslidenot": [235, 237, 498], "includeslidenot": [235, 237, 498], "setincludeslidenot": [235, 237, 498], "contentpath": [235, 237, 238, 498, 499], "contenttyp": [235, 237, 238, 498, 499], "explodedoc": [235, 237, 498], "flattenoutput": [235, 237, 498], "ignoreexcept": [235, 237, 498], "includepagebreak": [235, 237, 238, 498, 499], "infertablestructur": [235, 237, 238, 498, 499], "outputasdocu": [235, 237, 498], "setcontentpath": [235, 237, 238, 246, 249, 498, 499, 507, 510], "setcontenttyp": [235, 237, 238, 246, 249, 498, 499, 507, 510], "setexplodedoc": [235, 237, 498], "setflattenoutput": [235, 237, 498], "setignoreexcept": [235, 237, 498], "setincludepagebreak": [235, 237, 238, 498, 499], "setinfertablestructur": [235, 237, 238, 498, 499], "setoutputasdocu": [235, 237, 498], "setstorecont": [235, 237, 238, 498, 499], "settitlefonts": [235, 237, 238, 498, 499], "settitlethreshold": [235, 237, 498], "storecont": [235, 237, 238, 498, 499], "titlefonts": [235, 237, 238, 498, 499], "titlethreshold": [235, 237, 498], "getgroupbrokenparagraph": [235, 237, 498], "getmaxlinecount": [235, 237, 498], "getparagraphsplit": [235, 237, 498], "getshortlinewordthreshold": [235, 237, 498], "getthreshold": [235, 237, 498], "gettitlelengths": [235, 237, 498], "groupbrokenparagraph": [235, 237, 498], "maxlinecount": [235, 237, 498], "paragraphsplit": [235, 237, 498], "setgroupbrokenparagraph": [235, 237, 498], "setmaxlinecount": [235, 237, 498], "setparagraphsplit": [235, 237, 498], "setshortlinewordthreshold": [235, 237, 498], "settitlelengths": [235, 237, 498], "shortlinewordthreshold": [235, 237, 498], "titlelengths": [235, 237, 498], "getcontentpath": [235, 238, 499], "getcontenttyp": [235, 238, 499], "getincludepagebreak": [235, 238, 499], "getinfertablestructur": [235, 238, 499], "getstorecont": [235, 238, 499], "gettitlefonts": [235, 238, 499], "docx": [236, 238, 246, 497, 499, 507], "xlsx": [236, 238, 246, 497, 499, 507], "powerpoint": [236, 238, 246, 250, 497, 499, 507, 511], "ppt": [236, 238, 243, 246, 250, 497, 499, 507, 511], "pptx": [236, 238, 246, 497, 499, 507], "eml": [236, 238, 246, 497, 499, 507], "msg": [236, 238, 246, 497, 499, 507], "content_typ": [236, 497], "store_cont": [236, 497], "fetch": [236, 237, 497], "title_font_s": [236, 497], "titl": [236, 237, 238, 246, 250, 255, 258, 497, 498, 499, 507, 511, 516, 519, 532], "include_page_break": [236, 497], "group_broken_paragraph": [236, 497], "title_length_s": [236, 497], "qualifi": [236, 237, 497], "paragraph_split": [236, 497], "short_line_word_threshold": [236, 497], "ratio": [236, 237, 497], "switch": [236, 497], "max_line_count": [236, 497], "include_slide_not": [236, 497], "infer_table_structur": [236, 497], "append_cel": [236, 497], "cell_separ": [236, 497], "add_attachment_cont": [236, 497], "txt_directori": [236, 497], "txtfile": [236, 497], "partition_df": [236, 497], "ema": [236, 497], "sev": [236, 497], "wikip": [236, 497], "wikipedi": [236, 497], "sparknlp_partition_reader_demo": [236, 497], "ipynb": [236, 497], "raw_text": [236, 497], "fox": [236, 497], "walk": [236, 497], "lane": [236, 497], "met": [236, 497], "text_df": [236, 497], "narrativetext": [236, 246, 250, 497, 507, 511], "elementtyp": [236, 246, 250, 497, 507, 511], "urls_df": [236, 497], "adjac": 237, "ligatur": [237, 245, 498], "\ufb02": [237, 245, 498], "stripper": [237, 244, 245, 498, 504], "layout": [237, 238, 245, 498, 506], "narr": [237, 246, 498, 507], "mime": [237, 238, 498], "manual": [237, 238, 249, 260, 510, 525], "heurist": [237, 238], "bold": [237, 238], "center": [237, 238], "fragment": 237, "smoothli": [238, 246, 247, 499, 507, 508], "workflow": [238, 246, 247, 499, 507, 508, 522], "seamless": [238, 246, 247, 499, 507, 508], "blizzard": [238, 499], "blizz": [238, 499], "juego": [238, 499], "gmail": [238, 499], "im": [238, 499], "from_disk": [239, 240, 501], "clearcach": [239, 241, 502], "downloadmodel": [239, 241, 502], "downloadmodeldirectli": [239, 241, 502], "downloadpipelin": [239, 241, 502], "showavailableannot": [239, 241, 502], "showpublicmodel": [239, 241, 502, 526], "showpublicpipelin": [239, 241, 502, 531], "showuncategorizedresourc": [239, 241, 502], "disk_loc": [240, 501], "light_model": [240, 501], "onto_100": [241, 502], "onto_300": [241, 502], "ner_dl_bert": [241, 502], "similarli": [241, 502], "check_spel": [241, 502, 531], "match_datetim": [241, 502, 531], "clear": [241, 502], "j_dwn": [241, 502], "pythonresourcedownload": [241, 502], "obj": [241, 253, 502, 513], "unzip": [241, 258, 502, 519], "filer": [241, 502], "pdf_layout_text_stripp": [243, 244, 504], "pdf_text_stripp": [243, 244, 504], "excludenontext": [243, 246, 249, 507, 510], "setexcludenontext": [243, 246, 249, 507, 510], "customprompttempl": [243, 247, 249, 508, 510], "prompttempl": [243, 247, 249, 508, 510], "setcustomprompttempl": [243, 247, 249, 508, 510], "setprompttempl": [243, 247, 249, 508, 510], "setusermessag": [243, 247, 249, 508, 510], "usermessag": [243, 247, 249, 508, 510], "pdflayouttextstripp": [244, 504], "pdftextstripp": [244, 504], "hasinputcol": 245, "hasoutputcol": 245, "pdf_path": [245, 506], "data_fram": [245, 506], "binaryfil": [245, 506], "pdf_df": [245, 250, 506, 511], "modificationtim": [245, 506], "paula": [245, 506], "2025": [245, 506], "height_dimens": [245, 506], "width_dimens": [245, 506], "pagenum": [245, 506], "pdf_directori": [246, 507], "empty_data_set": [246, 249, 507, 510], "result_df": [246, 249, 507, 510], "pagenumb": [246, 250, 507, 511], "filenam": [246, 247, 249, 507, 508, 510], "68": [246, 507], "markdown": [247, 250, 508, 511], "orchestr": [249, 510], "fallback": [249, 510], "simplifi": [249, 250, 510, 511], "fault": [249, 510], "toler": [249, 510], "concis": [249, 510], "document_text": [249, 510], "document_imag": [249, 510], "heterogen": [249, 510], "spreadsheet": [249, 510], "invok": [249, 510], "appropri": [249, 510], "html_df": [250, 511], "Or": [250, 511], "shorthand": [250, 511], "email_df": [250, 511], "csvpath": [250, 511], "docpath": [250, 511], "csv_df": [250, 511], "alic": [250, 511], "bob": [250, 511], "tr": [250, 511], "td": [250, 511], "doc_df": [250, 511], "filepath": [250, 511], "sent_to": [250, 511], "danilo": [250, 511], "htmlpath": [250, 511], "illustr": [250, 511], "literatur": [250, 511], "permiss": [250, 511], "md_df": [250, 511], "elementid": [250, 511], "pdfpath": [250, 511], "pptdf": [250, 511], "txtdf": [250, 511], "analyt": [250, 511], "xlsdf": [250, 511], "financi": [250, 511], "sheetnam": [250, 511], "xml_df": [250, 511], "smith": [250, 511], "readjsonfil": [251, 256, 517], "documentcol": [252, 253, 512, 513], "sentencecol": [252, 253, 512, 513], "tokencol": [252, 512], "conlllabelindex": [252, 512], "conllposindex": [252, 512], "conlldocidcol": [252, 512], "doc_id": [252, 255, 512, 516], "labelcol": [252, 512], "includedocid": [252, 512], "docstart": [252, 512, 532], "eu": [252, 512, 532], "np": [252, 512, 532], "vp": [252, 512, 532], "misc": [252, 512, 532], "boycott": [252, 512, 532], "british": [252, 512, 532], "lamb": [252, 512, 532], "blackburn": [252, 512], "brussel": [252, 512], "1996": [252, 512], "08": [252, 512], "storage_level": [252, 512], "storagelevel": [252, 512], "lift": [252, 512], "disk_onli": [252, 512], "uposcol": [253, 513], "upo": [253, 513], "xposcol": [253, 513], "xpo": [253, 513], "sent_id": [253, 513], "sell": [253, 513], "pron": [253, 513], "nom": [253, 513], "plur": [253, 513], "_": [253, 513], "tens": [253, 513], "conj": [253, 513], "cc": [253, 513], "spaceaft": [253, 513], "punct": [253, 513], "conllufil": [253, 513, 532], "conlldataset": [253, 513, 532], "morph": [253, 513], "Into": [253, 513], "googleo": [253, 513], "sconj": [253, 513], "propn": [253, 513], "adp": [253, 513], "wp": [253, 513], "vbd": [253, 254, 513, 515, 532], "ago": [254, 515, 532], "posdf": [254, 515], "61": [254, 515], "67": [254, 255, 515, 516, 532], "nonexecut": [254, 515], "76": [254, 515], "director": [254, 515], "84": [254, 515], "outputposcol": [254, 515], "outputdocumentcol": [254, 515], "outputtextcol": [254, 515], "medic": [255, 516, 532], "medment": [255, 516, 532], "25763772": [255, 516, 532], "dctn4": [255, 516, 532], "t116": [255, 516, 532], "t123": [255, 516, 532], "c4308010": [255, 516, 532], "63": [255, 516, 532], "chronic": [255, 516, 532], "pseudomona": [255, 516, 532], "aeruginosa": [255, 516, 532], "infect": [255, 516, 532], "t047": [255, 516, 532], "c0854135": [255, 516, 532], "82": [255, 516, 532], "cystic": [255, 516, 532], "fibrosi": [255, 516, 532], "c0010674": [255, 516, 532], "120": [255, 516, 532], "pa": [255, 516, 532], "124": [255, 516, 532], "139": [255, 516, 532], "pubtatorfil": [255, 516], "corpus_pubtator_sampl": [255, 516], "pubtatordataset": [255, 516], "finished_token": [255, 516, 527], "finished_po": [255, 516], "finished_n": [255, 516], "finished_token_metadata": [255, 516], "finished_pos_metadata": [255, 516], "finished_label_metadata": [255, 516], "mo": [255, 516], "ispaddedtoken": [255, 516], "token_spac": [256, 517], "sentence_end": [256, 517], "spaci": [256, 517], "multi_doc_token": [256, 517], "went": [256, 517], "night": [256, 517], "bought": [256, 517], "54": [256, 517], "jsonfilepath": [256, 517], "model_data": [258, 519], "dictionary_for_upload": [258, 519], "model_zip_path": [258, 519], "pythoncod": [258, 519], "git_token": [258, 519], "predictedent": [258, 519], "sparknlpvers": [258, 519], "howtous": [258, 519], "livedemo": [258, 519], "runincolab": [258, 519], "scalacod": [258, 519], "nlucod": [258, 519], "datasourc": [258, 519], "includedmodel": [258, 519], "info": [258, 519], "zip_path": [258, 519], "zip": [258, 519], "folder_path": [258, 519], "binarytyp": 259, "quick": [260, 522, 527], "pypi": 260, "pip": 260, "anaconda": 260, "shell": 260, "compil": 260, "sbt": 260, "assembli": 260, "oracl": 260, "openjdk": 260, "0_292": 260, "sparknlp": [260, 522, 525, 526, 527, 528, 530, 531, 532], "python3": 260, "bin": 260, "cheat": 261, "guid": [261, 523], "py": [319, 440, 474, 475, 483, 489, 493, 509], "subclass": [319, 348, 440, 475, 489, 493, 509], "ins": [319, 440, 475, 493], "uid": [319, 440, 475, 493], "documenttokensplittertestspec": 348, "methodnam": 348, "runtest": 348, "fixtur": 348, "testcas": 348, "constructor": 348, "author": 348, "deconstruct": 348, "setup": 348, "teardown": 348, "__init__": 348, "signatur": 348, "failureexcept": 348, "assert": 348, "deem": 348, "longmessag": 348, "repr": 348, "failur": 348, "maxdiff": 348, "diff": 348, "difflib": 348, "hook": 348, "exercis": 348, "test_run": 348, "sbd": 383, "dictionary_path": [444, 445], "py4j": [464, 465, 493], "java_gatewai": [464, 465, 493], "mixin": 488, "javaparam": 488, "_java_obj": [489, 509], "sc": 490, "tf_graph": 518, "tf_graph_1x": 518, "overview": [521, 529], "dedic": 522, "account": 522, "inspect": 522, "init": 522, "sparknlp_experi": 522, "offline_directori": 522, "later": 522, "record": 523, "registri": 523, "central": 523, "send": 524, "mlflow": 524, "clearli": 525, "explain_document_ml": [525, 530, 531], "approx": [525, 530, 531], "mb": [525, 530, 531], "ok": [525, 530, 531], "spearhead": 526, "declar": 526, "accordingli": 526, "extra_loc": 526, "classifierdl_use_trec50": 526, "classifierdl_use_spam": 526, "column_nam": 526, "interchang": 527, "road": 527, "proce": 527, "constantli": 531, "train_po": 532, "training_conl": 532, "train_corpu": 532, "withcolumnrenam": 532, "trainingpubtatordf": 532, "corpus_pubt": 532}, "objects": {"": [[487, 0, 0, "-", "sparknlp"]], "sparknlp": [[262, 0, 0, "-", "annotation"], [263, 0, 0, "-", "annotation_audio"], [264, 0, 0, "-", "annotation_image"], [383, 0, 0, "-", "annotator"], [487, 4, 1, "", "annotators"], [467, 0, 0, "-", "base"], [479, 0, 0, "-", "common"], [487, 4, 1, "", "embeddings"], [486, 0, 0, "-", "functions"], [491, 0, 0, "-", "internal"], [495, 0, 0, "-", "logging"], [496, 0, 0, "-", "partition"], [500, 0, 0, "-", "pretrained"], [487, 5, 1, "", "read"], [505, 0, 0, "-", "reader"], [487, 5, 1, "", "start"], [514, 0, 0, "-", "training"], [519, 0, 0, "-", "upload_to_hub"], [520, 0, 0, "-", "util"], [487, 5, 1, "", "version"]], "sparknlp.annotation": [[262, 1, 1, "", "Annotation"]], "sparknlp.annotation.Annotation": [[262, 2, 1, "", "annotatorType"], [262, 3, 1, "", "arrayType"], [262, 2, 1, "", "begin"], [262, 3, 1, "", "copy"], [262, 3, 1, "", "dataType"], [262, 2, 1, "", "embeddings"], [262, 2, 1, "", "end"], [262, 3, 1, "", "fromRow"], [262, 2, 1, "", "metadata"], [262, 2, 1, "", "result"], [262, 3, 1, "", "toRow"]], "sparknlp.annotation_audio": [[263, 1, 1, "", "AnnotationAudio"]], "sparknlp.annotation_audio.AnnotationAudio": [[263, 2, 1, "", "annotatorType"], [263, 3, 1, "", "copy"], [263, 2, 1, "", "metadata"], [263, 2, 1, "", "result"]], "sparknlp.annotation_image": [[264, 1, 1, "", "AnnotationImage"]], "sparknlp.annotation_image.AnnotationImage": [[264, 2, 1, "", "annotatorType"], [264, 3, 1, "", "copy"], [264, 2, 1, "", "height"], [264, 2, 1, "", "metadata"], [264, 2, 1, "", "mode"], [264, 2, 1, "", "nChannels"], [264, 2, 1, "", "origin"], [264, 2, 1, "", "result"], [264, 2, 1, "", "width"]], "sparknlp.annotator": [[383, 4, 1, "", "annotators"], [383, 4, 1, "", "audio"], [266, 0, 0, "-", "audio"], [269, 0, 0, "-", "chunk2_doc"], [270, 0, 0, "-", "chunker"], [383, 4, 1, "", "classifier"], [296, 0, 0, "-", "classifier_dl"], [320, 0, 0, "-", "cleaners"], [383, 4, 1, "", "coref"], [321, 0, 0, "-", "coref"], [383, 4, 1, "", "cv"], [328, 0, 0, "-", "cv"], [340, 0, 0, "-", "dataframe_optimizer"], [341, 0, 0, "-", "date2_chunk"], [343, 0, 0, "-", "dependency"], [345, 0, 0, "-", "document_character_text_splitter"], [346, 0, 0, "-", "document_normalizer"], [347, 0, 0, "-", "document_token_splitter"], [348, 0, 0, "-", "document_token_splitter_test"], [383, 4, 1, "", "embeddings"], [362, 0, 0, "-", "embeddings"], [383, 4, 1, "", "er"], [381, 0, 0, "-", "er"], [382, 0, 0, "-", "graph_extraction"], [383, 4, 1, "", "keyword"], [384, 0, 0, "-", "keyword_extraction"], [383, 4, 1, "", "ld"], [386, 0, 0, "-", "ld_dl"], [388, 0, 0, "-", "lemmatizer"], [391, 0, 0, "-", "matcher"], [395, 0, 0, "-", "n_gram_generator"], [396, 0, 0, "-", "ner"], [404, 0, 0, "-", "normalizer"], [405, 0, 0, "-", "openai"], [410, 0, 0, "-", "param"], [383, 4, 1, "", "parser"], [411, 0, 0, "-", "pos"], [383, 4, 1, "", "regex"], [383, 4, 1, "", "sbd"], [383, 4, 1, "", "sda"], [413, 0, 0, "-", "sentence"], [383, 4, 1, "", "sentence_detector_dl"], [416, 0, 0, "-", "sentiment"], [426, 0, 0, "-", "seq2seq"], [441, 0, 0, "-", "similarity"], [383, 4, 1, "", "spell"], [443, 0, 0, "-", "spell_check"], [446, 0, 0, "-", "stemmer"], [447, 0, 0, "-", "stop_words_cleaner"], [448, 0, 0, "-", "tf_ner_dl_graph_builder"], [450, 0, 0, "-", "token"], [454, 0, 0, "-", "token2_chunk"], [455, 0, 0, "-", "ws"]], "sparknlp.annotator.audio": [[265, 0, 0, "-", "hubert_for_ctc"], [267, 0, 0, "-", "wav2vec2_for_ctc"], [268, 0, 0, "-", "whisper_for_ctc"]], "sparknlp.annotator.audio.hubert_for_ctc": [[265, 1, 1, "", "HubertForCTC"]], "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC": [[265, 2, 1, "", "configProtoBytes"], [265, 2, 1, "", "inputAnnotatorTypes"], [265, 3, 1, "", "loadSavedModel"], [265, 2, 1, "", "name"], [265, 2, 1, "", "outputAnnotatorType"], [265, 3, 1, "", "pretrained"], [265, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.audio.wav2vec2_for_ctc": [[267, 1, 1, "", "Wav2Vec2ForCTC"]], "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC": [[267, 2, 1, "", "configProtoBytes"], [267, 2, 1, "", "inputAnnotatorTypes"], [267, 3, 1, "", "loadSavedModel"], [267, 2, 1, "", "name"], [267, 2, 1, "", "outputAnnotatorType"], [267, 3, 1, "", "pretrained"], [267, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.audio.whisper_for_ctc": [[268, 1, 1, "", "WhisperForCTC"]], "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC": [[268, 2, 1, "", "configProtoBytes"], [268, 3, 1, "", "getIsMultilingual"], [268, 3, 1, "", "getLanguage"], [268, 2, 1, "", "inputAnnotatorTypes"], [268, 2, 1, "", "isMultilingual"], [268, 2, 1, "", "language"], [268, 3, 1, "", "loadSavedModel"], [268, 2, 1, "", "name"], [268, 2, 1, "", "outputAnnotatorType"], [268, 3, 1, "", "pretrained"], [268, 3, 1, "", "setConfigProtoBytes"], [268, 3, 1, "", "setLanguage"], [268, 3, 1, "", "setTask"]], "sparknlp.annotator.chunk2_doc": [[269, 1, 1, "", "Chunk2Doc"]], "sparknlp.annotator.chunk2_doc.Chunk2Doc": [[269, 2, 1, "", "inputAnnotatorTypes"], [269, 2, 1, "", "name"], [269, 2, 1, "", "outputAnnotatorType"], [269, 3, 1, "", "setParams"]], "sparknlp.annotator.chunker": [[270, 1, 1, "", "Chunker"]], "sparknlp.annotator.chunker.Chunker": [[270, 2, 1, "", "inputAnnotatorTypes"], [270, 2, 1, "", "name"], [270, 2, 1, "", "outputAnnotatorType"], [270, 2, 1, "", "regexParsers"], [270, 3, 1, "", "setRegexParsers"]], "sparknlp.annotator.classifier_dl": [[271, 0, 0, "-", "albert_for_multiple_choice"], [272, 0, 0, "-", "albert_for_question_answering"], [273, 0, 0, "-", "albert_for_sequence_classification"], [274, 0, 0, "-", "albert_for_token_classification"], [275, 0, 0, "-", "albert_for_zero_shot_classification"], [276, 0, 0, "-", "bart_for_zero_shot_classification"], [277, 0, 0, "-", "bert_for_multiple_choice"], [278, 0, 0, "-", "bert_for_question_answering"], [279, 0, 0, "-", "bert_for_sequence_classification"], [280, 0, 0, "-", "bert_for_token_classification"], [281, 0, 0, "-", "bert_for_zero_shot_classification"], [282, 0, 0, "-", "camembert_for_question_answering"], [283, 0, 0, "-", "camembert_for_sequence_classification"], [284, 0, 0, "-", "camembert_for_token_classification"], [285, 0, 0, "-", "camembert_for_zero_shot_classification"], [286, 0, 0, "-", "classifier_dl"], [287, 0, 0, "-", "deberta_for_question_answering"], [288, 0, 0, "-", "deberta_for_sequence_classification"], [289, 0, 0, "-", "deberta_for_token_classification"], [290, 0, 0, "-", "deberta_for_zero_shot_classification"], [291, 0, 0, "-", "distil_bert_for_question_answering"], [292, 0, 0, "-", "distil_bert_for_sequence_classification"], [293, 0, 0, "-", "distil_bert_for_token_classification"], [294, 0, 0, "-", "distil_bert_for_zero_shot_classification"], [295, 0, 0, "-", "distilbert_for_multiple_choice"], [297, 0, 0, "-", "longformer_for_question_answering"], [298, 0, 0, "-", "longformer_for_sequence_classification"], [299, 0, 0, "-", "longformer_for_token_classification"], [300, 0, 0, "-", "mpnet_for_question_answering"], [301, 0, 0, "-", "mpnet_for_sequence_classification"], [302, 0, 0, "-", "mpnet_for_token_classification"], [303, 0, 0, "-", "multi_classifier_dl"], [304, 0, 0, "-", "roberta_for_multiple_choice"], [305, 0, 0, "-", "roberta_for_question_answering"], [306, 0, 0, "-", "roberta_for_sequence_classification"], [307, 0, 0, "-", "roberta_for_token_classification"], [308, 0, 0, "-", "roberta_for_zero_shot_classification"], [309, 0, 0, "-", "sentiment_dl"], [310, 0, 0, "-", "tapas_for_question_answering"], [311, 0, 0, "-", "xlm_roberta_for_multiple_choice"], [312, 0, 0, "-", "xlm_roberta_for_question_answering"], [313, 0, 0, "-", "xlm_roberta_for_sequence_classification"], [314, 0, 0, "-", "xlm_roberta_for_token_classification"], [315, 0, 0, "-", "xlm_roberta_for_zero_shot_classification"], [316, 0, 0, "-", "xlnet_for_sequence_classification"], [317, 0, 0, "-", "xlnet_for_token_classification"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice": [[271, 1, 1, "", "AlbertForMultipleChoice"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice": [[271, 2, 1, "", "choicesDelimiter"], [271, 2, 1, "", "inputAnnotatorTypes"], [271, 3, 1, "", "loadSavedModel"], [271, 2, 1, "", "name"], [271, 2, 1, "", "outputAnnotatorType"], [271, 3, 1, "", "pretrained"], [271, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering": [[272, 1, 1, "", "AlbertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering": [[272, 2, 1, "", "coalesceSentences"], [272, 2, 1, "", "configProtoBytes"], [272, 2, 1, "", "inputAnnotatorTypes"], [272, 3, 1, "", "loadSavedModel"], [272, 2, 1, "", "name"], [272, 2, 1, "", "outputAnnotatorType"], [272, 3, 1, "", "pretrained"], [272, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification": [[273, 1, 1, "", "AlbertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification": [[273, 2, 1, "", "coalesceSentences"], [273, 2, 1, "", "configProtoBytes"], [273, 3, 1, "", "getClasses"], [273, 2, 1, "", "inputAnnotatorTypes"], [273, 3, 1, "", "loadSavedModel"], [273, 2, 1, "", "name"], [273, 2, 1, "", "outputAnnotatorType"], [273, 3, 1, "", "pretrained"], [273, 3, 1, "", "setCoalesceSentences"], [273, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification": [[274, 1, 1, "", "AlbertForTokenClassification"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification": [[274, 2, 1, "", "configProtoBytes"], [274, 3, 1, "", "getClasses"], [274, 2, 1, "", "inputAnnotatorTypes"], [274, 3, 1, "", "loadSavedModel"], [274, 2, 1, "", "name"], [274, 2, 1, "", "outputAnnotatorType"], [274, 3, 1, "", "pretrained"], [274, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification": [[275, 1, 1, "", "AlbertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification": [[275, 2, 1, "", "coalesceSentences"], [275, 2, 1, "", "configProtoBytes"], [275, 3, 1, "", "getClasses"], [275, 2, 1, "", "inputAnnotatorTypes"], [275, 3, 1, "", "loadSavedModel"], [275, 2, 1, "", "name"], [275, 2, 1, "", "outputAnnotatorType"], [275, 3, 1, "", "pretrained"], [275, 3, 1, "", "setCoalesceSentences"], [275, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification": [[276, 1, 1, "", "BartForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification": [[276, 2, 1, "", "coalesceSentences"], [276, 2, 1, "", "configProtoBytes"], [276, 3, 1, "", "getClasses"], [276, 2, 1, "", "inputAnnotatorTypes"], [276, 3, 1, "", "loadSavedModel"], [276, 2, 1, "", "maxSentenceLength"], [276, 2, 1, "", "name"], [276, 2, 1, "", "outputAnnotatorType"], [276, 3, 1, "", "pretrained"], [276, 3, 1, "", "setCoalesceSentences"], [276, 3, 1, "", "setConfigProtoBytes"], [276, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice": [[277, 1, 1, "", "BertForMultipleChoice"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice": [[277, 2, 1, "", "choicesDelimiter"], [277, 2, 1, "", "inputAnnotatorTypes"], [277, 3, 1, "", "loadSavedModel"], [277, 2, 1, "", "name"], [277, 2, 1, "", "outputAnnotatorType"], [277, 3, 1, "", "pretrained"], [277, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering": [[278, 1, 1, "", "BertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering": [[278, 2, 1, "", "coalesceSentences"], [278, 2, 1, "", "configProtoBytes"], [278, 2, 1, "", "inputAnnotatorTypes"], [278, 3, 1, "", "loadSavedModel"], [278, 2, 1, "", "name"], [278, 2, 1, "", "outputAnnotatorType"], [278, 3, 1, "", "pretrained"], [278, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification": [[279, 1, 1, "", "BertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification": [[279, 2, 1, "", "coalesceSentences"], [279, 2, 1, "", "configProtoBytes"], [279, 3, 1, "", "getClasses"], [279, 2, 1, "", "inputAnnotatorTypes"], [279, 3, 1, "", "loadSavedModel"], [279, 2, 1, "", "name"], [279, 2, 1, "", "outputAnnotatorType"], [279, 3, 1, "", "pretrained"], [279, 3, 1, "", "setCoalesceSentences"], [279, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification": [[280, 1, 1, "", "BertForTokenClassification"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification": [[280, 2, 1, "", "configProtoBytes"], [280, 3, 1, "", "getClasses"], [280, 2, 1, "", "inputAnnotatorTypes"], [280, 3, 1, "", "loadSavedModel"], [280, 2, 1, "", "name"], [280, 2, 1, "", "outputAnnotatorType"], [280, 3, 1, "", "pretrained"], [280, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification": [[281, 1, 1, "", "BertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification": [[281, 2, 1, "", "coalesceSentences"], [281, 2, 1, "", "configProtoBytes"], [281, 3, 1, "", "getClasses"], [281, 2, 1, "", "inputAnnotatorTypes"], [281, 3, 1, "", "loadSavedModel"], [281, 2, 1, "", "name"], [281, 2, 1, "", "outputAnnotatorType"], [281, 3, 1, "", "pretrained"], [281, 3, 1, "", "setCoalesceSentences"], [281, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering": [[282, 1, 1, "", "CamemBertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering": [[282, 2, 1, "", "coalesceSentences"], [282, 2, 1, "", "configProtoBytes"], [282, 2, 1, "", "inputAnnotatorTypes"], [282, 3, 1, "", "loadSavedModel"], [282, 2, 1, "", "name"], [282, 2, 1, "", "outputAnnotatorType"], [282, 3, 1, "", "pretrained"], [282, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification": [[283, 1, 1, "", "CamemBertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification": [[283, 2, 1, "", "coalesceSentences"], [283, 2, 1, "", "configProtoBytes"], [283, 3, 1, "", "getClasses"], [283, 2, 1, "", "inputAnnotatorTypes"], [283, 3, 1, "", "loadSavedModel"], [283, 2, 1, "", "name"], [283, 2, 1, "", "outputAnnotatorType"], [283, 3, 1, "", "pretrained"], [283, 3, 1, "", "setCoalesceSentences"], [283, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification": [[284, 1, 1, "", "CamemBertForTokenClassification"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification": [[284, 2, 1, "", "configProtoBytes"], [284, 3, 1, "", "getClasses"], [284, 2, 1, "", "inputAnnotatorTypes"], [284, 3, 1, "", "loadSavedModel"], [284, 2, 1, "", "name"], [284, 2, 1, "", "outputAnnotatorType"], [284, 3, 1, "", "pretrained"], [284, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification": [[285, 1, 1, "", "CamemBertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification": [[285, 2, 1, "", "coalesceSentences"], [285, 2, 1, "", "configProtoBytes"], [285, 3, 1, "", "getClasses"], [285, 2, 1, "", "inputAnnotatorTypes"], [285, 3, 1, "", "loadSavedModel"], [285, 2, 1, "", "name"], [285, 2, 1, "", "outputAnnotatorType"], [285, 3, 1, "", "pretrained"], [285, 3, 1, "", "setCoalesceSentences"], [285, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.classifier_dl": [[286, 1, 1, "", "ClassifierDLApproach"], [286, 1, 1, "", "ClassifierDLModel"]], "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach": [[286, 2, 1, "", "dropout"], [286, 2, 1, "", "inputAnnotatorTypes"], [286, 2, 1, "", "outputAnnotatorType"], [286, 3, 1, "", "setDropout"]], "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel": [[286, 2, 1, "", "classes"], [286, 2, 1, "", "configProtoBytes"], [286, 2, 1, "", "inputAnnotatorTypes"], [286, 2, 1, "", "name"], [286, 2, 1, "", "outputAnnotatorType"], [286, 3, 1, "", "pretrained"], [286, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering": [[287, 1, 1, "", "DeBertaForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering": [[287, 2, 1, "", "coalesceSentences"], [287, 2, 1, "", "configProtoBytes"], [287, 2, 1, "", "inputAnnotatorTypes"], [287, 3, 1, "", "loadSavedModel"], [287, 2, 1, "", "name"], [287, 2, 1, "", "outputAnnotatorType"], [287, 3, 1, "", "pretrained"], [287, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification": [[288, 1, 1, "", "DeBertaForSequenceClassification"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification": [[288, 2, 1, "", "coalesceSentences"], [288, 2, 1, "", "configProtoBytes"], [288, 3, 1, "", "getClasses"], [288, 2, 1, "", "inputAnnotatorTypes"], [288, 3, 1, "", "loadSavedModel"], [288, 2, 1, "", "name"], [288, 2, 1, "", "outputAnnotatorType"], [288, 3, 1, "", "pretrained"], [288, 3, 1, "", "setCoalesceSentences"], [288, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification": [[289, 1, 1, "", "DeBertaForTokenClassification"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification": [[289, 2, 1, "", "configProtoBytes"], [289, 3, 1, "", "getClasses"], [289, 2, 1, "", "inputAnnotatorTypes"], [289, 3, 1, "", "loadSavedModel"], [289, 2, 1, "", "name"], [289, 2, 1, "", "outputAnnotatorType"], [289, 3, 1, "", "pretrained"], [289, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification": [[290, 1, 1, "", "DeBertaForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification": [[290, 2, 1, "", "coalesceSentences"], [290, 2, 1, "", "configProtoBytes"], [290, 3, 1, "", "getClasses"], [290, 2, 1, "", "inputAnnotatorTypes"], [290, 3, 1, "", "loadSavedModel"], [290, 2, 1, "", "name"], [290, 2, 1, "", "outputAnnotatorType"], [290, 3, 1, "", "pretrained"], [290, 3, 1, "", "setCoalesceSentences"], [290, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering": [[291, 1, 1, "", "DistilBertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering": [[291, 2, 1, "", "coalesceSentences"], [291, 2, 1, "", "configProtoBytes"], [291, 2, 1, "", "inputAnnotatorTypes"], [291, 3, 1, "", "loadSavedModel"], [291, 2, 1, "", "name"], [291, 2, 1, "", "outputAnnotatorType"], [291, 3, 1, "", "pretrained"], [291, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification": [[292, 1, 1, "", "DistilBertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification": [[292, 2, 1, "", "coalesceSentences"], [292, 2, 1, "", "configProtoBytes"], [292, 3, 1, "", "getClasses"], [292, 2, 1, "", "inputAnnotatorTypes"], [292, 3, 1, "", "loadSavedModel"], [292, 2, 1, "", "name"], [292, 2, 1, "", "outputAnnotatorType"], [292, 3, 1, "", "pretrained"], [292, 3, 1, "", "setCoalesceSentences"], [292, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification": [[293, 1, 1, "", "DistilBertForTokenClassification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification": [[293, 2, 1, "", "configProtoBytes"], [293, 3, 1, "", "getClasses"], [293, 2, 1, "", "inputAnnotatorTypes"], [293, 3, 1, "", "loadSavedModel"], [293, 2, 1, "", "name"], [293, 2, 1, "", "outputAnnotatorType"], [293, 3, 1, "", "pretrained"], [293, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification": [[294, 1, 1, "", "DistilBertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification": [[294, 2, 1, "", "coalesceSentences"], [294, 2, 1, "", "configProtoBytes"], [294, 3, 1, "", "getClasses"], [294, 2, 1, "", "inputAnnotatorTypes"], [294, 3, 1, "", "loadSavedModel"], [294, 2, 1, "", "name"], [294, 2, 1, "", "outputAnnotatorType"], [294, 3, 1, "", "pretrained"], [294, 3, 1, "", "setCoalesceSentences"], [294, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice": [[295, 1, 1, "", "DistilBertForMultipleChoice"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice": [[295, 2, 1, "", "choicesDelimiter"], [295, 2, 1, "", "inputAnnotatorTypes"], [295, 3, 1, "", "loadSavedModel"], [295, 2, 1, "", "name"], [295, 2, 1, "", "outputAnnotatorType"], [295, 3, 1, "", "pretrained"], [295, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering": [[297, 1, 1, "", "LongformerForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering": [[297, 2, 1, "", "coalesceSentences"], [297, 2, 1, "", "configProtoBytes"], [297, 2, 1, "", "inputAnnotatorTypes"], [297, 3, 1, "", "loadSavedModel"], [297, 2, 1, "", "name"], [297, 2, 1, "", "outputAnnotatorType"], [297, 3, 1, "", "pretrained"], [297, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification": [[298, 1, 1, "", "LongformerForSequenceClassification"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification": [[298, 2, 1, "", "coalesceSentences"], [298, 2, 1, "", "configProtoBytes"], [298, 3, 1, "", "getClasses"], [298, 2, 1, "", "inputAnnotatorTypes"], [298, 3, 1, "", "loadSavedModel"], [298, 2, 1, "", "name"], [298, 2, 1, "", "outputAnnotatorType"], [298, 3, 1, "", "pretrained"], [298, 3, 1, "", "setCoalesceSentences"], [298, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification": [[299, 1, 1, "", "LongformerForTokenClassification"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification": [[299, 2, 1, "", "configProtoBytes"], [299, 3, 1, "", "getClasses"], [299, 2, 1, "", "inputAnnotatorTypes"], [299, 3, 1, "", "loadSavedModel"], [299, 2, 1, "", "name"], [299, 2, 1, "", "outputAnnotatorType"], [299, 3, 1, "", "pretrained"], [299, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering": [[300, 1, 1, "", "MPNetForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering": [[300, 2, 1, "", "inputAnnotatorTypes"], [300, 3, 1, "", "loadSavedModel"], [300, 2, 1, "", "name"], [300, 2, 1, "", "outputAnnotatorType"], [300, 3, 1, "", "pretrained"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification": [[301, 1, 1, "", "MPNetForSequenceClassification"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification": [[301, 2, 1, "", "coalesceSentences"], [301, 3, 1, "", "getClasses"], [301, 2, 1, "", "inputAnnotatorTypes"], [301, 3, 1, "", "loadSavedModel"], [301, 2, 1, "", "name"], [301, 2, 1, "", "outputAnnotatorType"], [301, 3, 1, "", "pretrained"], [301, 3, 1, "", "setCoalesceSentences"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification": [[302, 1, 1, "", "MPNetForTokenClassification"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification": [[302, 2, 1, "", "configProtoBytes"], [302, 3, 1, "", "getClasses"], [302, 2, 1, "", "inputAnnotatorTypes"], [302, 3, 1, "", "loadSavedModel"], [302, 2, 1, "", "name"], [302, 2, 1, "", "outputAnnotatorType"], [302, 3, 1, "", "pretrained"], [302, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl": [[303, 1, 1, "", "MultiClassifierDLApproach"], [303, 1, 1, "", "MultiClassifierDLModel"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach": [[303, 2, 1, "", "inputAnnotatorTypes"], [303, 2, 1, "", "outputAnnotatorType"], [303, 3, 1, "", "setShufflePerEpoch"], [303, 3, 1, "", "setThreshold"], [303, 3, 1, "", "setVerbose"], [303, 2, 1, "", "shufflePerEpoch"], [303, 2, 1, "", "threshold"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel": [[303, 2, 1, "", "classes"], [303, 2, 1, "", "configProtoBytes"], [303, 2, 1, "", "inputAnnotatorTypes"], [303, 2, 1, "", "name"], [303, 2, 1, "", "outputAnnotatorType"], [303, 3, 1, "", "pretrained"], [303, 3, 1, "", "setConfigProtoBytes"], [303, 3, 1, "", "setThreshold"], [303, 2, 1, "", "threshold"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice": [[304, 1, 1, "", "RoBertaForMultipleChoice"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice": [[304, 2, 1, "", "choicesDelimiter"], [304, 2, 1, "", "inputAnnotatorTypes"], [304, 3, 1, "", "loadSavedModel"], [304, 2, 1, "", "name"], [304, 2, 1, "", "outputAnnotatorType"], [304, 3, 1, "", "pretrained"], [304, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering": [[305, 1, 1, "", "RoBertaForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering": [[305, 2, 1, "", "coalesceSentences"], [305, 2, 1, "", "configProtoBytes"], [305, 2, 1, "", "inputAnnotatorTypes"], [305, 3, 1, "", "loadSavedModel"], [305, 2, 1, "", "name"], [305, 2, 1, "", "outputAnnotatorType"], [305, 3, 1, "", "pretrained"], [305, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification": [[306, 1, 1, "", "RoBertaForSequenceClassification"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification": [[306, 2, 1, "", "coalesceSentences"], [306, 2, 1, "", "configProtoBytes"], [306, 3, 1, "", "getClasses"], [306, 2, 1, "", "inputAnnotatorTypes"], [306, 3, 1, "", "loadSavedModel"], [306, 2, 1, "", "name"], [306, 2, 1, "", "outputAnnotatorType"], [306, 3, 1, "", "pretrained"], [306, 3, 1, "", "setCoalesceSentences"], [306, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification": [[307, 1, 1, "", "RoBertaForTokenClassification"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification": [[307, 2, 1, "", "configProtoBytes"], [307, 3, 1, "", "getClasses"], [307, 2, 1, "", "inputAnnotatorTypes"], [307, 3, 1, "", "loadSavedModel"], [307, 2, 1, "", "maxSentenceLength"], [307, 2, 1, "", "name"], [307, 2, 1, "", "outputAnnotatorType"], [307, 3, 1, "", "pretrained"], [307, 3, 1, "", "setConfigProtoBytes"], [307, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification": [[308, 1, 1, "", "RoBertaForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification": [[308, 2, 1, "", "coalesceSentences"], [308, 2, 1, "", "configProtoBytes"], [308, 3, 1, "", "getClasses"], [308, 2, 1, "", "inputAnnotatorTypes"], [308, 3, 1, "", "loadSavedModel"], [308, 2, 1, "", "maxSentenceLength"], [308, 2, 1, "", "name"], [308, 2, 1, "", "outputAnnotatorType"], [308, 3, 1, "", "pretrained"], [308, 3, 1, "", "setCoalesceSentences"], [308, 3, 1, "", "setConfigProtoBytes"], [308, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.sentiment_dl": [[309, 1, 1, "", "SentimentDLApproach"], [309, 1, 1, "", "SentimentDLModel"]], "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach": [[309, 2, 1, "", "dropout"], [309, 2, 1, "", "inputAnnotatorTypes"], [309, 2, 1, "", "outputAnnotatorType"], [309, 3, 1, "", "setDropout"], [309, 3, 1, "", "setThreshold"], [309, 3, 1, "", "setThresholdLabel"], [309, 2, 1, "", "threshold"], [309, 2, 1, "", "thresholdLabel"]], "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel": [[309, 2, 1, "", "classes"], [309, 2, 1, "", "configProtoBytes"], [309, 2, 1, "", "inputAnnotatorTypes"], [309, 2, 1, "", "name"], [309, 2, 1, "", "outputAnnotatorType"], [309, 3, 1, "", "pretrained"], [309, 3, 1, "", "setConfigProtoBytes"], [309, 3, 1, "", "setThreshold"], [309, 3, 1, "", "setThresholdLabel"], [309, 2, 1, "", "threshold"], [309, 2, 1, "", "thresholdLabel"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering": [[310, 1, 1, "", "TapasForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering": [[310, 2, 1, "", "inputAnnotatorTypes"], [310, 3, 1, "", "loadSavedModel"], [310, 2, 1, "", "name"], [310, 3, 1, "", "pretrained"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice": [[311, 1, 1, "", "XlmRoBertaForMultipleChoice"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice": [[311, 2, 1, "", "inputAnnotatorTypes"], [311, 3, 1, "", "loadSavedModel"], [311, 2, 1, "", "name"], [311, 2, 1, "", "outputAnnotatorType"], [311, 3, 1, "", "pretrained"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering": [[312, 1, 1, "", "XlmRoBertaForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering": [[312, 2, 1, "", "coalesceSentences"], [312, 2, 1, "", "configProtoBytes"], [312, 2, 1, "", "inputAnnotatorTypes"], [312, 3, 1, "", "loadSavedModel"], [312, 2, 1, "", "name"], [312, 2, 1, "", "outputAnnotatorType"], [312, 3, 1, "", "pretrained"], [312, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification": [[313, 1, 1, "", "XlmRoBertaForSequenceClassification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification": [[313, 2, 1, "", "coalesceSentences"], [313, 2, 1, "", "configProtoBytes"], [313, 3, 1, "", "getClasses"], [313, 2, 1, "", "inputAnnotatorTypes"], [313, 3, 1, "", "loadSavedModel"], [313, 2, 1, "", "name"], [313, 2, 1, "", "outputAnnotatorType"], [313, 3, 1, "", "pretrained"], [313, 3, 1, "", "setCoalesceSentences"], [313, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification": [[314, 1, 1, "", "XlmRoBertaForTokenClassification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification": [[314, 2, 1, "", "configProtoBytes"], [314, 3, 1, "", "getClasses"], [314, 2, 1, "", "inputAnnotatorTypes"], [314, 3, 1, "", "loadSavedModel"], [314, 2, 1, "", "name"], [314, 2, 1, "", "outputAnnotatorType"], [314, 3, 1, "", "pretrained"], [314, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification": [[315, 1, 1, "", "XlmRoBertaForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification": [[315, 2, 1, "", "coalesceSentences"], [315, 2, 1, "", "configProtoBytes"], [315, 3, 1, "", "getClasses"], [315, 2, 1, "", "inputAnnotatorTypes"], [315, 3, 1, "", "loadSavedModel"], [315, 2, 1, "", "maxSentenceLength"], [315, 2, 1, "", "name"], [315, 2, 1, "", "outputAnnotatorType"], [315, 3, 1, "", "pretrained"], [315, 3, 1, "", "setCoalesceSentences"], [315, 3, 1, "", "setConfigProtoBytes"], [315, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification": [[316, 1, 1, "", "XlnetForSequenceClassification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification": [[316, 2, 1, "", "coalesceSentences"], [316, 2, 1, "", "configProtoBytes"], [316, 3, 1, "", "getClasses"], [316, 2, 1, "", "inputAnnotatorTypes"], [316, 3, 1, "", "loadSavedModel"], [316, 2, 1, "", "name"], [316, 2, 1, "", "outputAnnotatorType"], [316, 3, 1, "", "pretrained"], [316, 3, 1, "", "setCoalesceSentences"], [316, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification": [[317, 1, 1, "", "XlnetForTokenClassification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification": [[317, 2, 1, "", "configProtoBytes"], [317, 3, 1, "", "getClasses"], [317, 2, 1, "", "inputAnnotatorTypes"], [317, 3, 1, "", "loadSavedModel"], [317, 2, 1, "", "name"], [317, 2, 1, "", "outputAnnotatorType"], [317, 3, 1, "", "pretrained"], [317, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.cleaners": [[318, 0, 0, "-", "cleaner"], [319, 0, 0, "-", "extractor"]], "sparknlp.annotator.cleaners.cleaner": [[318, 1, 1, "", "Cleaner"]], "sparknlp.annotator.cleaners.cleaner.Cleaner": [[318, 2, 1, "", "bullets"], [318, 2, 1, "", "cleanPostfixPattern"], [318, 2, 1, "", "cleanPrefixPattern"], [318, 2, 1, "", "cleanerMode"], [318, 2, 1, "", "dashes"], [318, 2, 1, "", "encoding"], [318, 2, 1, "", "extraWhitespace"], [318, 2, 1, "", "ignoreCase"], [318, 2, 1, "", "inputAnnotatorTypes"], [318, 2, 1, "", "lowercase"], [318, 2, 1, "", "name"], [318, 2, 1, "", "outputAnnotatorType"], [318, 3, 1, "", "setBullets"], [318, 3, 1, "", "setCleanPostfixPattern"], [318, 3, 1, "", "setCleanPrefixPattern"], [318, 3, 1, "", "setCleanerMode"], [318, 3, 1, "", "setDashes"], [318, 3, 1, "", "setEncoding"], [318, 3, 1, "", "setExtraWhitespace"], [318, 3, 1, "", "setIgnoreCase"], [318, 3, 1, "", "setLowercase"], [318, 3, 1, "", "setStrip"], [318, 3, 1, "", "setTrailingPunctuation"], [318, 2, 1, "", "strip"], [318, 2, 1, "", "trailingPunctuation"]], "sparknlp.annotator.cleaners.extractor": [[319, 1, 1, "", "Extractor"]], "sparknlp.annotator.cleaners.extractor.Extractor": [[319, 2, 1, "", "emailAddress"], [319, 2, 1, "", "emailDateTimeTzPattern"], [319, 2, 1, "", "extractorMode"], [319, 2, 1, "", "imageUrlPattern"], [319, 2, 1, "", "index"], [319, 2, 1, "", "inputAnnotatorTypes"], [319, 2, 1, "", "ipAddressNamePattern"], [319, 2, 1, "", "ipAddressPattern"], [319, 2, 1, "", "mapiIdPattern"], [319, 2, 1, "", "name"], [319, 2, 1, "", "outputAnnotatorType"], [319, 3, 1, "", "setEmailAddress"], [319, 3, 1, "", "setEmailDateTimeTzPattern"], [319, 3, 1, "", "setExtractorMode"], [319, 3, 1, "", "setImageUrlPattern"], [319, 3, 1, "", "setIndex"], [319, 3, 1, "", "setIpAddressNamePattern"], [319, 3, 1, "", "setIpAddressPattern"], [319, 3, 1, "", "setMapiIdPattern"], [319, 3, 1, "", "setTextPattern"], [319, 3, 1, "", "setUsPhoneNumbersPattern"], [319, 2, 1, "", "textPattern"], [319, 2, 1, "", "usPhoneNumbersPattern"]], "sparknlp.annotator.coref": [[322, 0, 0, "-", "spanbert_coref"]], "sparknlp.annotator.coref.spanbert_coref": [[322, 1, 1, "", "SpanBertCorefModel"]], "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel": [[322, 2, 1, "", "configProtoBytes"], [322, 2, 1, "", "inputAnnotatorTypes"], [322, 3, 1, "", "loadSavedModel"], [322, 2, 1, "", "maxSegmentLength"], [322, 2, 1, "", "name"], [322, 2, 1, "", "outputAnnotatorType"], [322, 3, 1, "", "pretrained"], [322, 3, 1, "", "setConfigProtoBytes"], [322, 3, 1, "", "setMaxSegmentLength"], [322, 3, 1, "", "setTextGenre"], [322, 2, 1, "", "textGenre"]], "sparknlp.annotator.cv": [[323, 0, 0, "-", "blip_for_question_answering"], [324, 0, 0, "-", "clip_for_zero_shot_classification"], [325, 0, 0, "-", "convnext_for_image_classification"], [326, 0, 0, "-", "florence2_transformer"], [327, 0, 0, "-", "gemma3_for_multimodal"], [329, 0, 0, "-", "internvl_for_multimodal"], [330, 0, 0, "-", "janus_for_multimodal"], [331, 0, 0, "-", "llava_for_multimodal"], [332, 0, 0, "-", "mllama_for_multimodal"], [333, 0, 0, "-", "paligemma_for_multimodal"], [334, 0, 0, "-", "phi3_vision_for_multimodal"], [335, 0, 0, "-", "qwen2vl_transformer"], [336, 0, 0, "-", "smolvlm_transformer"], [337, 0, 0, "-", "swin_for_image_classification"], [338, 0, 0, "-", "vision_encoder_decoder_for_image_captioning"], [339, 0, 0, "-", "vit_for_image_classification"]], "sparknlp.annotator.cv.blip_for_question_answering": [[323, 1, 1, "", "BLIPForQuestionAnswering"]], "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering": [[323, 2, 1, "", "configProtoBytes"], [323, 2, 1, "", "inputAnnotatorTypes"], [323, 3, 1, "", "loadSavedModel"], [323, 2, 1, "", "maxSentenceLength"], [323, 2, 1, "", "name"], [323, 2, 1, "", "outputAnnotatorType"], [323, 3, 1, "", "pretrained"], [323, 3, 1, "", "setMaxSentenceSize"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification": [[324, 1, 1, "", "CLIPForZeroShotClassification"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification": [[324, 2, 1, "", "configProtoBytes"], [324, 3, 1, "", "getCandidateLabels"], [324, 2, 1, "", "inputAnnotatorTypes"], [324, 3, 1, "", "loadSavedModel"], [324, 2, 1, "", "name"], [324, 2, 1, "", "outputAnnotatorType"], [324, 3, 1, "", "pretrained"]], "sparknlp.annotator.cv.convnext_for_image_classification": [[325, 1, 1, "", "ConvNextForImageClassification"]], "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification": [[325, 2, 1, "", "configProtoBytes"], [325, 2, 1, "", "cropPct"], [325, 2, 1, "", "doRescale"], [325, 3, 1, "", "getClasses"], [325, 2, 1, "", "inputAnnotatorTypes"], [325, 3, 1, "", "loadSavedModel"], [325, 2, 1, "", "name"], [325, 2, 1, "", "outputAnnotatorType"], [325, 3, 1, "", "pretrained"], [325, 2, 1, "", "rescaleFactor"], [325, 3, 1, "", "setConfigProtoBytes"], [325, 3, 1, "", "setCropPct"], [325, 3, 1, "", "setDoRescale"], [325, 3, 1, "", "setRescaleFactor"]], "sparknlp.annotator.cv.florence2_transformer": [[326, 1, 1, "", "Florence2Transformer"]], "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer": [[326, 2, 1, "", "batchSize"], [326, 2, 1, "", "beamSize"], [326, 2, 1, "", "doSample"], [326, 2, 1, "", "ignoreTokenIds"], [326, 2, 1, "", "inputAnnotatorTypes"], [326, 3, 1, "", "loadSavedModel"], [326, 2, 1, "", "maxOutputLength"], [326, 2, 1, "", "minOutputLength"], [326, 2, 1, "", "name"], [326, 2, 1, "", "noRepeatNgramSize"], [326, 2, 1, "", "outputAnnotatorType"], [326, 3, 1, "", "pretrained"], [326, 2, 1, "", "repetitionPenalty"], [326, 3, 1, "", "setBatchSize"], [326, 3, 1, "", "setBeamSize"], [326, 3, 1, "", "setDoSample"], [326, 3, 1, "", "setIgnoreTokenIds"], [326, 3, 1, "", "setMaxOutputLength"], [326, 3, 1, "", "setMinOutputLength"], [326, 3, 1, "", "setNoRepeatNgramSize"], [326, 3, 1, "", "setRepetitionPenalty"], [326, 3, 1, "", "setTemperature"], [326, 3, 1, "", "setTopK"], [326, 3, 1, "", "setTopP"], [326, 2, 1, "", "temperature"], [326, 2, 1, "", "topK"], [326, 2, 1, "", "topP"]], "sparknlp.annotator.cv.gemma3_for_multimodal": [[327, 1, 1, "", "Gemma3ForMultiModal"]], "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal": [[327, 2, 1, "", "beamSize"], [327, 2, 1, "", "configProtoBytes"], [327, 2, 1, "", "doSample"], [327, 2, 1, "", "ignoreTokenIds"], [327, 2, 1, "", "inputAnnotatorTypes"], [327, 3, 1, "", "loadSavedModel"], [327, 2, 1, "", "maxInputLength"], [327, 2, 1, "", "maxOutputLength"], [327, 2, 1, "", "minOutputLength"], [327, 2, 1, "", "name"], [327, 2, 1, "", "noRepeatNgramSize"], [327, 2, 1, "", "outputAnnotatorType"], [327, 3, 1, "", "pretrained"], [327, 2, 1, "", "repetitionPenalty"], [327, 3, 1, "", "setBeamSize"], [327, 3, 1, "", "setConfigProtoBytes"], [327, 3, 1, "", "setDoSample"], [327, 3, 1, "", "setIgnoreTokenIds"], [327, 3, 1, "", "setMaxOutputLength"], [327, 3, 1, "", "setMaxSentenceSize"], [327, 3, 1, "", "setMinOutputLength"], [327, 3, 1, "", "setNoRepeatNgramSize"], [327, 3, 1, "", "setRepetitionPenalty"], [327, 3, 1, "", "setTemperature"], [327, 3, 1, "", "setTopK"], [327, 3, 1, "", "setTopP"], [327, 2, 1, "", "temperature"], [327, 2, 1, "", "topK"], [327, 2, 1, "", "topP"]], "sparknlp.annotator.cv.internvl_for_multimodal": [[329, 1, 1, "", "InternVLForMultiModal"]], "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal": [[329, 2, 1, "", "beamSize"], [329, 2, 1, "", "doSample"], [329, 2, 1, "", "ignoreTokenIds"], [329, 2, 1, "", "inputAnnotatorTypes"], [329, 3, 1, "", "loadSavedModel"], [329, 2, 1, "", "maxOutputLength"], [329, 2, 1, "", "minOutputLength"], [329, 2, 1, "", "name"], [329, 2, 1, "", "noRepeatNgramSize"], [329, 2, 1, "", "outputAnnotatorType"], [329, 3, 1, "", "pretrained"], [329, 2, 1, "", "repetitionPenalty"], [329, 3, 1, "", "setBeamSize"], [329, 3, 1, "", "setDoSample"], [329, 3, 1, "", "setIgnoreTokenIds"], [329, 3, 1, "", "setMaxOutputLength"], [329, 3, 1, "", "setMaxSentenceSize"], [329, 3, 1, "", "setMinOutputLength"], [329, 3, 1, "", "setNoRepeatNgramSize"], [329, 3, 1, "", "setRepetitionPenalty"], [329, 3, 1, "", "setTemperature"], [329, 3, 1, "", "setTopK"], [329, 3, 1, "", "setTopP"], [329, 2, 1, "", "temperature"], [329, 2, 1, "", "topK"], [329, 2, 1, "", "topP"]], "sparknlp.annotator.cv.janus_for_multimodal": [[330, 1, 1, "", "JanusForMultiModal"]], "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal": [[330, 2, 1, "", "beamSize"], [330, 2, 1, "", "configProtoBytes"], [330, 2, 1, "", "doSample"], [330, 2, 1, "", "ignoreTokenIds"], [330, 2, 1, "", "imageGenerateMode"], [330, 2, 1, "", "inputAnnotatorTypes"], [330, 3, 1, "", "loadSavedModel"], [330, 2, 1, "", "maxOutputLength"], [330, 2, 1, "", "minOutputLength"], [330, 2, 1, "", "name"], [330, 2, 1, "", "noRepeatNgramSize"], [330, 2, 1, "", "numOfParallelImages"], [330, 2, 1, "", "outputAnnotatorType"], [330, 3, 1, "", "pretrained"], [330, 2, 1, "", "repetitionPenalty"], [330, 3, 1, "", "setBeamSize"], [330, 3, 1, "", "setConfigProtoBytes"], [330, 3, 1, "", "setDoSample"], [330, 3, 1, "", "setIgnoreTokenIds"], [330, 3, 1, "", "setImageGenerateMode"], [330, 3, 1, "", "setMaxOutputLength"], [330, 3, 1, "", "setMaxSentenceSize"], [330, 3, 1, "", "setMinOutputLength"], [330, 3, 1, "", "setNoRepeatNgramSize"], [330, 3, 1, "", "setNumOfParallelImages"], [330, 3, 1, "", "setRepetitionPenalty"], [330, 3, 1, "", "setTemperature"], [330, 3, 1, "", "setTopK"], [330, 3, 1, "", "setTopP"], [330, 2, 1, "", "temperature"], [330, 2, 1, "", "topK"], [330, 2, 1, "", "topP"]], "sparknlp.annotator.cv.llava_for_multimodal": [[331, 1, 1, "", "LLAVAForMultiModal"]], "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal": [[331, 2, 1, "", "beamSize"], [331, 2, 1, "", "configProtoBytes"], [331, 2, 1, "", "doSample"], [331, 2, 1, "", "ignoreTokenIds"], [331, 2, 1, "", "inputAnnotatorTypes"], [331, 3, 1, "", "loadSavedModel"], [331, 2, 1, "", "maxOutputLength"], [331, 2, 1, "", "minOutputLength"], [331, 2, 1, "", "name"], [331, 2, 1, "", "noRepeatNgramSize"], [331, 2, 1, "", "outputAnnotatorType"], [331, 3, 1, "", "pretrained"], [331, 2, 1, "", "repetitionPenalty"], [331, 3, 1, "", "setBeamSize"], [331, 3, 1, "", "setConfigProtoBytes"], [331, 3, 1, "", "setDoSample"], [331, 3, 1, "", "setIgnoreTokenIds"], [331, 3, 1, "", "setMaxOutputLength"], [331, 3, 1, "", "setMaxSentenceSize"], [331, 3, 1, "", "setMinOutputLength"], [331, 3, 1, "", "setNoRepeatNgramSize"], [331, 3, 1, "", "setRepetitionPenalty"], [331, 3, 1, "", "setTemperature"], [331, 3, 1, "", "setTopK"], [331, 3, 1, "", "setTopP"], [331, 2, 1, "", "temperature"], [331, 2, 1, "", "topK"], [331, 2, 1, "", "topP"]], "sparknlp.annotator.cv.mllama_for_multimodal": [[332, 1, 1, "", "MLLamaForMultimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal": [[332, 2, 1, "", "beamSize"], [332, 2, 1, "", "configProtoBytes"], [332, 2, 1, "", "doSample"], [332, 2, 1, "", "ignoreTokenIds"], [332, 2, 1, "", "inputAnnotatorTypes"], [332, 3, 1, "", "loadSavedModel"], [332, 2, 1, "", "maxOutputLength"], [332, 2, 1, "", "minOutputLength"], [332, 2, 1, "", "name"], [332, 2, 1, "", "noRepeatNgramSize"], [332, 2, 1, "", "outputAnnotatorType"], [332, 3, 1, "", "pretrained"], [332, 2, 1, "", "repetitionPenalty"], [332, 3, 1, "", "setBeamSize"], [332, 3, 1, "", "setConfigProtoBytes"], [332, 3, 1, "", "setDoSample"], [332, 3, 1, "", "setIgnoreTokenIds"], [332, 3, 1, "", "setMaxOutputLength"], [332, 3, 1, "", "setMaxSentenceSize"], [332, 3, 1, "", "setMinOutputLength"], [332, 3, 1, "", "setNoRepeatNgramSize"], [332, 3, 1, "", "setRepetitionPenalty"], [332, 3, 1, "", "setTemperature"], [332, 3, 1, "", "setTopK"], [332, 3, 1, "", "setTopP"], [332, 2, 1, "", "temperature"], [332, 2, 1, "", "topK"], [332, 2, 1, "", "topP"]], "sparknlp.annotator.cv.paligemma_for_multimodal": [[333, 1, 1, "", "PaliGemmaForMultiModal"]], "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal": [[333, 2, 1, "", "beamSize"], [333, 2, 1, "", "doSample"], [333, 2, 1, "", "ignoreTokenIds"], [333, 2, 1, "", "inputAnnotatorTypes"], [333, 3, 1, "", "loadSavedModel"], [333, 2, 1, "", "maxOutputLength"], [333, 2, 1, "", "minOutputLength"], [333, 2, 1, "", "name"], [333, 2, 1, "", "noRepeatNgramSize"], [333, 2, 1, "", "outputAnnotatorType"], [333, 3, 1, "", "pretrained"], [333, 2, 1, "", "repetitionPenalty"], [333, 3, 1, "", "setBeamSize"], [333, 3, 1, "", "setDoSample"], [333, 3, 1, "", "setIgnoreTokenIds"], [333, 3, 1, "", "setMaxOutputLength"], [333, 3, 1, "", "setMaxSentenceSize"], [333, 3, 1, "", "setMinOutputLength"], [333, 3, 1, "", "setNoRepeatNgramSize"], [333, 3, 1, "", "setRepetitionPenalty"], [333, 3, 1, "", "setTemperature"], [333, 3, 1, "", "setTopK"], [333, 3, 1, "", "setTopP"], [333, 2, 1, "", "temperature"], [333, 2, 1, "", "topK"], [333, 2, 1, "", "topP"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal": [[334, 1, 1, "", "Phi3Vision"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision": [[334, 2, 1, "", "beamSize"], [334, 2, 1, "", "configProtoBytes"], [334, 2, 1, "", "doSample"], [334, 2, 1, "", "ignoreTokenIds"], [334, 2, 1, "", "inputAnnotatorTypes"], [334, 3, 1, "", "loadSavedModel"], [334, 2, 1, "", "maxOutputLength"], [334, 2, 1, "", "minOutputLength"], [334, 2, 1, "", "name"], [334, 2, 1, "", "noRepeatNgramSize"], [334, 2, 1, "", "outputAnnotatorType"], [334, 3, 1, "", "pretrained"], [334, 2, 1, "", "repetitionPenalty"], [334, 3, 1, "", "setBeamSize"], [334, 3, 1, "", "setConfigProtoBytes"], [334, 3, 1, "", "setDoSample"], [334, 3, 1, "", "setIgnoreTokenIds"], [334, 3, 1, "", "setMaxOutputLength"], [334, 3, 1, "", "setMaxSentenceSize"], [334, 3, 1, "", "setMinOutputLength"], [334, 3, 1, "", "setNoRepeatNgramSize"], [334, 3, 1, "", "setRepetitionPenalty"], [334, 3, 1, "", "setTemperature"], [334, 3, 1, "", "setTopK"], [334, 3, 1, "", "setTopP"], [334, 2, 1, "", "temperature"], [334, 2, 1, "", "topK"], [334, 2, 1, "", "topP"]], "sparknlp.annotator.cv.qwen2vl_transformer": [[335, 1, 1, "", "Qwen2VLTransformer"]], "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer": [[335, 2, 1, "", "beamSize"], [335, 2, 1, "", "configProtoBytes"], [335, 2, 1, "", "doSample"], [335, 2, 1, "", "ignoreTokenIds"], [335, 2, 1, "", "inputAnnotatorTypes"], [335, 3, 1, "", "loadSavedModel"], [335, 2, 1, "", "maxOutputLength"], [335, 2, 1, "", "minOutputLength"], [335, 2, 1, "", "name"], [335, 2, 1, "", "noRepeatNgramSize"], [335, 2, 1, "", "outputAnnotatorType"], [335, 3, 1, "", "pretrained"], [335, 2, 1, "", "repetitionPenalty"], [335, 3, 1, "", "setBeamSize"], [335, 3, 1, "", "setConfigProtoBytes"], [335, 3, 1, "", "setDoSample"], [335, 3, 1, "", "setIgnoreTokenIds"], [335, 3, 1, "", "setMaxOutputLength"], [335, 3, 1, "", "setMaxSentenceSize"], [335, 3, 1, "", "setMinOutputLength"], [335, 3, 1, "", "setNoRepeatNgramSize"], [335, 3, 1, "", "setRepetitionPenalty"], [335, 3, 1, "", "setTemperature"], [335, 3, 1, "", "setTopK"], [335, 3, 1, "", "setTopP"], [335, 2, 1, "", "temperature"], [335, 2, 1, "", "topK"], [335, 2, 1, "", "topP"]], "sparknlp.annotator.cv.smolvlm_transformer": [[336, 1, 1, "", "SmolVLMTransformer"]], "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer": [[336, 2, 1, "", "beamSize"], [336, 2, 1, "", "doImageSplitting"], [336, 2, 1, "", "doSample"], [336, 2, 1, "", "ignoreTokenIds"], [336, 2, 1, "", "imageToken"], [336, 2, 1, "", "inputAnnotatorTypes"], [336, 3, 1, "", "loadSavedModel"], [336, 2, 1, "", "maxImageSize"], [336, 2, 1, "", "maxOutputLength"], [336, 2, 1, "", "minOutputLength"], [336, 2, 1, "", "name"], [336, 2, 1, "", "noRepeatNgramSize"], [336, 2, 1, "", "numVisionTokens"], [336, 2, 1, "", "outputAnnotatorType"], [336, 2, 1, "", "paddingConstant"], [336, 2, 1, "", "patchSize"], [336, 3, 1, "", "pretrained"], [336, 2, 1, "", "repetitionPenalty"], [336, 3, 1, "", "setBeamSize"], [336, 3, 1, "", "setConfigProtoBytes"], [336, 3, 1, "", "setDoImageSplitting"], [336, 3, 1, "", "setDoSample"], [336, 3, 1, "", "setIgnoreTokenIds"], [336, 3, 1, "", "setImageToken"], [336, 3, 1, "", "setMaxImageSize"], [336, 3, 1, "", "setMaxOutputLength"], [336, 3, 1, "", "setMaxSentenceSize"], [336, 3, 1, "", "setMinOutputLength"], [336, 3, 1, "", "setNoRepeatNgramSize"], [336, 3, 1, "", "setNumVisionTokens"], [336, 3, 1, "", "setPaddingConstant"], [336, 3, 1, "", "setPatchSize"], [336, 3, 1, "", "setRepetitionPenalty"], [336, 3, 1, "", "setStopTokenIds"], [336, 3, 1, "", "setTemperature"], [336, 3, 1, "", "setTopK"], [336, 3, 1, "", "setTopP"], [336, 2, 1, "", "stopTokenIds"], [336, 2, 1, "", "temperature"], [336, 2, 1, "", "topK"], [336, 2, 1, "", "topP"]], "sparknlp.annotator.cv.swin_for_image_classification": [[337, 1, 1, "", "SwinForImageClassification"]], "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification": [[337, 2, 1, "", "configProtoBytes"], [337, 3, 1, "", "getClasses"], [337, 2, 1, "", "inputAnnotatorTypes"], [337, 3, 1, "", "loadSavedModel"], [337, 2, 1, "", "name"], [337, 2, 1, "", "outputAnnotatorType"], [337, 3, 1, "", "pretrained"], [337, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning": [[338, 1, 1, "", "VisionEncoderDecoderForImageCaptioning"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning": [[338, 2, 1, "", "configProtoBytes"], [338, 2, 1, "", "inputAnnotatorTypes"], [338, 3, 1, "", "loadSavedModel"], [338, 2, 1, "", "name"], [338, 2, 1, "", "outputAnnotatorType"], [338, 3, 1, "", "pretrained"], [338, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.cv.vit_for_image_classification": [[339, 1, 1, "", "ViTForImageClassification"]], "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification": [[339, 2, 1, "", "configProtoBytes"], [339, 3, 1, "", "getClasses"], [339, 2, 1, "", "inputAnnotatorTypes"], [339, 3, 1, "", "loadSavedModel"], [339, 2, 1, "", "name"], [339, 2, 1, "", "outputAnnotatorType"], [339, 3, 1, "", "pretrained"], [339, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.dataframe_optimizer": [[340, 1, 1, "", "DataFrameOptimizer"], [340, 5, 1, "", "toStringDict"]], "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer": [[340, 2, 1, "", "doCache"], [340, 2, 1, "", "executorCores"], [340, 2, 1, "", "numPartitions"], [340, 2, 1, "", "numWorkers"], [340, 2, 1, "", "outputOptions"], [340, 2, 1, "", "persistFormat"], [340, 2, 1, "", "persistPath"], [340, 3, 1, "", "setDoCache"], [340, 3, 1, "", "setExecutorCores"], [340, 3, 1, "", "setNumPartitions"], [340, 3, 1, "", "setNumWorkers"], [340, 3, 1, "", "setOutputOptions"], [340, 3, 1, "", "setParams"], [340, 3, 1, "", "setPersistFormat"], [340, 3, 1, "", "setPersistPath"]], "sparknlp.annotator.date2_chunk": [[341, 1, 1, "", "Date2Chunk"]], "sparknlp.annotator.date2_chunk.Date2Chunk": [[341, 2, 1, "", "entityName"], [341, 2, 1, "", "inputAnnotatorTypes"], [341, 2, 1, "", "name"], [341, 2, 1, "", "outputAnnotatorType"], [341, 3, 1, "", "setEntityName"]], "sparknlp.annotator.dependency": [[342, 0, 0, "-", "dependency_parser"], [344, 0, 0, "-", "typed_dependency_parser"]], "sparknlp.annotator.dependency.dependency_parser": [[342, 1, 1, "", "DependencyParserApproach"], [342, 1, 1, "", "DependencyParserModel"]], "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach": [[342, 2, 1, "", "conllU"], [342, 2, 1, "", "dependencyTreeBank"], [342, 2, 1, "", "inputAnnotatorTypes"], [342, 2, 1, "", "numberOfIterations"], [342, 2, 1, "", "outputAnnotatorType"], [342, 3, 1, "", "setConllU"], [342, 3, 1, "", "setDependencyTreeBank"], [342, 3, 1, "", "setNumberOfIterations"]], "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel": [[342, 2, 1, "", "inputAnnotatorTypes"], [342, 2, 1, "", "name"], [342, 2, 1, "", "outputAnnotatorType"], [342, 2, 1, "", "perceptron"], [342, 3, 1, "", "pretrained"]], "sparknlp.annotator.dependency.typed_dependency_parser": [[344, 1, 1, "", "TypedDependencyParserApproach"], [344, 1, 1, "", "TypedDependencyParserModel"]], "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach": [[344, 2, 1, "", "conll2009"], [344, 2, 1, "", "conllU"], [344, 2, 1, "", "inputAnnotatorTypes"], [344, 2, 1, "", "numberOfIterations"], [344, 2, 1, "", "outputAnnotatorType"], [344, 3, 1, "", "setConll2009"], [344, 3, 1, "", "setConllU"], [344, 3, 1, "", "setNumberOfIterations"]], "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel": [[344, 2, 1, "", "conllFormat"], [344, 2, 1, "", "inputAnnotatorTypes"], [344, 2, 1, "", "name"], [344, 2, 1, "", "outputAnnotatorType"], [344, 3, 1, "", "pretrained"], [344, 2, 1, "", "trainDependencyPipe"], [344, 2, 1, "", "trainOptions"], [344, 2, 1, "", "trainParameters"]], "sparknlp.annotator.document_character_text_splitter": [[345, 1, 1, "", "DocumentCharacterTextSplitter"]], "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter": [[345, 2, 1, "", "chunkOverlap"], [345, 2, 1, "", "chunkSize"], [345, 2, 1, "", "explodeSplits"], [345, 2, 1, "", "inputAnnotatorTypes"], [345, 2, 1, "", "keepSeparators"], [345, 2, 1, "", "outputAnnotatorType"], [345, 2, 1, "", "patternsAreRegex"], [345, 3, 1, "", "setChunkOverlap"], [345, 3, 1, "", "setChunkSize"], [345, 3, 1, "", "setExplodeSplits"], [345, 3, 1, "", "setKeepSeparators"], [345, 3, 1, "", "setPatternsAreRegex"], [345, 3, 1, "", "setSplitPatterns"], [345, 3, 1, "", "setTrimWhitespace"], [345, 2, 1, "", "splitPatterns"], [345, 2, 1, "", "trimWhitespace"]], "sparknlp.annotator.document_normalizer": [[346, 1, 1, "", "DocumentNormalizer"]], "sparknlp.annotator.document_normalizer.DocumentNormalizer": [[346, 2, 1, "", "action"], [346, 2, 1, "", "encoding"], [346, 2, 1, "", "inputAnnotatorTypes"], [346, 2, 1, "", "lowercase"], [346, 2, 1, "", "outputAnnotatorType"], [346, 2, 1, "", "patterns"], [346, 2, 1, "", "policy"], [346, 2, 1, "", "replacement"], [346, 3, 1, "", "setAction"], [346, 3, 1, "", "setEncoding"], [346, 3, 1, "", "setLowercase"], [346, 3, 1, "", "setPatterns"], [346, 3, 1, "", "setPolicy"], [346, 3, 1, "", "setReplacement"]], "sparknlp.annotator.document_token_splitter": [[347, 1, 1, "", "DocumentTokenSplitter"]], "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter": [[347, 2, 1, "", "explodeSplits"], [347, 2, 1, "", "inputAnnotatorTypes"], [347, 2, 1, "", "numTokens"], [347, 2, 1, "", "outputAnnotatorType"], [347, 3, 1, "", "setExplodeSplits"], [347, 3, 1, "", "setNumTokens"], [347, 3, 1, "", "setTokenOverlap"], [347, 3, 1, "", "setTrimWhitespace"], [347, 2, 1, "", "tokenOverlap"], [347, 2, 1, "", "trimWhitespace"]], "sparknlp.annotator.document_token_splitter_test": [[348, 1, 1, "", "DocumentTokenSplitterTestSpec"]], "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec": [[348, 3, 1, "", "setUp"], [348, 3, 1, "", "test_run"]], "sparknlp.annotator.embeddings": [[349, 0, 0, "-", "albert_embeddings"], [350, 0, 0, "-", "auto_gguf_embeddings"], [351, 0, 0, "-", "bert_embeddings"], [352, 0, 0, "-", "bert_sentence_embeddings"], [353, 0, 0, "-", "bge_embeddings"], [354, 0, 0, "-", "camembert_embeddings"], [355, 0, 0, "-", "chunk_embeddings"], [356, 0, 0, "-", "deberta_embeddings"], [357, 0, 0, "-", "distil_bert_embeddings"], [358, 0, 0, "-", "doc2vec"], [359, 0, 0, "-", "e5_embeddings"], [360, 0, 0, "-", "e5v_embeddings"], [361, 0, 0, "-", "elmo_embeddings"], [363, 0, 0, "-", "instructor_embeddings"], [364, 0, 0, "-", "longformer_embeddings"], [365, 0, 0, "-", "minilm_embeddings"], [366, 0, 0, "-", "mpnet_embeddings"], [367, 0, 0, "-", "mxbai_embeddings"], [368, 0, 0, "-", "nomic_embeddings"], [369, 0, 0, "-", "roberta_embeddings"], [370, 0, 0, "-", "roberta_sentence_embeddings"], [371, 0, 0, "-", "sentence_embeddings"], [372, 0, 0, "-", "snowflake_embeddings"], [373, 0, 0, "-", "uae_embeddings"], [374, 0, 0, "-", "universal_sentence_encoder"], [375, 0, 0, "-", "word2vec"], [376, 0, 0, "-", "word_embeddings"], [377, 0, 0, "-", "xlm_roberta_embeddings"], [378, 0, 0, "-", "xlm_roberta_sentence_embeddings"], [379, 0, 0, "-", "xlnet_embeddings"]], "sparknlp.annotator.embeddings.albert_embeddings": [[349, 1, 1, "", "AlbertEmbeddings"]], "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings": [[349, 2, 1, "", "configProtoBytes"], [349, 2, 1, "", "inputAnnotatorTypes"], [349, 3, 1, "", "loadSavedModel"], [349, 2, 1, "", "name"], [349, 2, 1, "", "outputAnnotatorType"], [349, 3, 1, "", "pretrained"], [349, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings": [[350, 1, 1, "", "AutoGGUFEmbeddings"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings": [[350, 2, 1, "", "defragmentationThreshold"], [350, 2, 1, "", "flashAttention"], [350, 3, 1, "", "getMetadata"], [350, 2, 1, "", "gpuSplitMode"], [350, 2, 1, "", "grpAttnN"], [350, 2, 1, "", "grpAttnW"], [350, 2, 1, "", "inputAnnotatorTypes"], [350, 3, 1, "", "loadSavedModel"], [350, 2, 1, "", "mainGpu"], [350, 2, 1, "", "nBatch"], [350, 2, 1, "", "nChunks"], [350, 2, 1, "", "nCtx"], [350, 2, 1, "", "nGpuLayers"], [350, 2, 1, "", "nSequences"], [350, 2, 1, "", "nThreads"], [350, 2, 1, "", "nThreadsBatch"], [350, 2, 1, "", "nUbatch"], [350, 2, 1, "", "name"], [350, 2, 1, "", "noKvOffload"], [350, 2, 1, "", "numaStrategy"], [350, 2, 1, "", "outputAnnotatorType"], [350, 2, 1, "", "poolingType"], [350, 3, 1, "", "pretrained"], [350, 2, 1, "", "ropeFreqBase"], [350, 2, 1, "", "ropeFreqScale"], [350, 2, 1, "", "ropeScalingType"], [350, 3, 1, "", "setDefragmentationThreshold"], [350, 3, 1, "", "setFlashAttention"], [350, 3, 1, "", "setGpuSplitMode"], [350, 3, 1, "", "setGrpAttnN"], [350, 3, 1, "", "setGrpAttnW"], [350, 3, 1, "", "setMainGpu"], [350, 3, 1, "", "setNBatch"], [350, 3, 1, "", "setNChunks"], [350, 3, 1, "", "setNCtx"], [350, 3, 1, "", "setNGpuLayers"], [350, 3, 1, "", "setNParallel"], [350, 3, 1, "", "setNSequences"], [350, 3, 1, "", "setNThreads"], [350, 3, 1, "", "setNThreadsBatch"], [350, 3, 1, "", "setNUbatch"], [350, 3, 1, "", "setNoKvOffload"], [350, 3, 1, "", "setNumaStrategy"], [350, 3, 1, "", "setPoolingType"], [350, 3, 1, "", "setRopeFreqBase"], [350, 3, 1, "", "setRopeFreqScale"], [350, 3, 1, "", "setRopeScalingType"], [350, 3, 1, "", "setTensorSplit"], [350, 3, 1, "", "setUseMlock"], [350, 3, 1, "", "setUseMmap"], [350, 3, 1, "", "setYarnAttnFactor"], [350, 3, 1, "", "setYarnBetaFast"], [350, 3, 1, "", "setYarnBetaSlow"], [350, 3, 1, "", "setYarnExtFactor"], [350, 3, 1, "", "setYarnOrigCtx"], [350, 2, 1, "", "tensorSplit"], [350, 2, 1, "", "useMlock"], [350, 2, 1, "", "useMmap"], [350, 2, 1, "", "yarnAttnFactor"], [350, 2, 1, "", "yarnBetaFast"], [350, 2, 1, "", "yarnBetaSlow"], [350, 2, 1, "", "yarnExtFactor"], [350, 2, 1, "", "yarnOrigCtx"]], "sparknlp.annotator.embeddings.bert_embeddings": [[351, 1, 1, "", "BertEmbeddings"]], "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings": [[351, 2, 1, "", "configProtoBytes"], [351, 2, 1, "", "inputAnnotatorTypes"], [351, 3, 1, "", "loadSavedModel"], [351, 2, 1, "", "name"], [351, 2, 1, "", "outputAnnotatorType"], [351, 3, 1, "", "pretrained"], [351, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings": [[352, 1, 1, "", "BertSentenceEmbeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings": [[352, 2, 1, "", "configProtoBytes"], [352, 2, 1, "", "inputAnnotatorTypes"], [352, 2, 1, "", "isLong"], [352, 3, 1, "", "loadSavedModel"], [352, 2, 1, "", "name"], [352, 2, 1, "", "outputAnnotatorType"], [352, 3, 1, "", "pretrained"], [352, 3, 1, "", "setConfigProtoBytes"], [352, 3, 1, "", "setIsLong"]], "sparknlp.annotator.embeddings.bge_embeddings": [[353, 1, 1, "", "BGEEmbeddings"]], "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings": [[353, 2, 1, "", "configProtoBytes"], [353, 2, 1, "", "inputAnnotatorTypes"], [353, 3, 1, "", "loadSavedModel"], [353, 2, 1, "", "name"], [353, 2, 1, "", "outputAnnotatorType"], [353, 3, 1, "", "pretrained"], [353, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.camembert_embeddings": [[354, 1, 1, "", "CamemBertEmbeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings": [[354, 2, 1, "", "configProtoBytes"], [354, 2, 1, "", "inputAnnotatorTypes"], [354, 3, 1, "", "loadSavedModel"], [354, 2, 1, "", "name"], [354, 2, 1, "", "outputAnnotatorType"], [354, 3, 1, "", "pretrained"], [354, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.chunk_embeddings": [[355, 1, 1, "", "ChunkEmbeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings": [[355, 2, 1, "", "inputAnnotatorTypes"], [355, 2, 1, "", "name"], [355, 2, 1, "", "outputAnnotatorType"], [355, 2, 1, "", "poolingStrategy"], [355, 3, 1, "", "setPoolingStrategy"], [355, 3, 1, "", "setSkipOOV"], [355, 2, 1, "", "skipOOV"]], "sparknlp.annotator.embeddings.deberta_embeddings": [[356, 1, 1, "", "DeBertaEmbeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings": [[356, 2, 1, "", "configProtoBytes"], [356, 2, 1, "", "inputAnnotatorTypes"], [356, 3, 1, "", "loadSavedModel"], [356, 2, 1, "", "name"], [356, 2, 1, "", "outputAnnotatorType"], [356, 3, 1, "", "pretrained"], [356, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.distil_bert_embeddings": [[357, 1, 1, "", "DistilBertEmbeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings": [[357, 2, 1, "", "configProtoBytes"], [357, 2, 1, "", "inputAnnotatorTypes"], [357, 3, 1, "", "loadSavedModel"], [357, 2, 1, "", "name"], [357, 2, 1, "", "outputAnnotatorType"], [357, 3, 1, "", "pretrained"], [357, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.doc2vec": [[358, 1, 1, "", "Doc2VecApproach"], [358, 1, 1, "", "Doc2VecModel"]], "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach": [[358, 2, 1, "", "inputAnnotatorTypes"], [358, 2, 1, "", "maxIter"], [358, 2, 1, "", "maxSentenceLength"], [358, 2, 1, "", "minCount"], [358, 2, 1, "", "numPartitions"], [358, 2, 1, "", "outputAnnotatorType"], [358, 2, 1, "", "seed"], [358, 3, 1, "", "setMaxIter"], [358, 3, 1, "", "setMaxSentenceLength"], [358, 3, 1, "", "setMinCount"], [358, 3, 1, "", "setNumPartitions"], [358, 3, 1, "", "setSeed"], [358, 3, 1, "", "setStepSize"], [358, 3, 1, "", "setVectorSize"], [358, 3, 1, "", "setWindowSize"], [358, 2, 1, "", "stepSize"], [358, 2, 1, "", "vectorSize"], [358, 2, 1, "", "windowSize"]], "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel": [[358, 3, 1, "", "getVectors"], [358, 2, 1, "", "inputAnnotatorTypes"], [358, 2, 1, "", "name"], [358, 2, 1, "", "outputAnnotatorType"], [358, 3, 1, "", "pretrained"], [358, 3, 1, "", "setVectorSize"], [358, 2, 1, "", "vectorSize"]], "sparknlp.annotator.embeddings.e5_embeddings": [[359, 1, 1, "", "E5Embeddings"]], "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings": [[359, 2, 1, "", "configProtoBytes"], [359, 2, 1, "", "inputAnnotatorTypes"], [359, 3, 1, "", "loadSavedModel"], [359, 2, 1, "", "name"], [359, 2, 1, "", "outputAnnotatorType"], [359, 3, 1, "", "pretrained"], [359, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.e5v_embeddings": [[360, 1, 1, "", "E5VEmbeddings"]], "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings": [[360, 2, 1, "", "inputAnnotatorTypes"], [360, 3, 1, "", "loadSavedModel"], [360, 2, 1, "", "name"], [360, 2, 1, "", "outputAnnotatorType"], [360, 3, 1, "", "pretrained"]], "sparknlp.annotator.embeddings.elmo_embeddings": [[361, 1, 1, "", "ElmoEmbeddings"]], "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings": [[361, 2, 1, "", "batchSize"], [361, 2, 1, "", "configProtoBytes"], [361, 2, 1, "", "inputAnnotatorTypes"], [361, 3, 1, "", "loadSavedModel"], [361, 2, 1, "", "name"], [361, 2, 1, "", "outputAnnotatorType"], [361, 2, 1, "", "poolingLayer"], [361, 3, 1, "", "pretrained"], [361, 3, 1, "", "setBatchSize"], [361, 3, 1, "", "setConfigProtoBytes"], [361, 3, 1, "", "setPoolingLayer"]], "sparknlp.annotator.embeddings.instructor_embeddings": [[363, 1, 1, "", "InstructorEmbeddings"]], "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings": [[363, 2, 1, "", "configProtoBytes"], [363, 2, 1, "", "inputAnnotatorTypes"], [363, 2, 1, "", "instruction"], [363, 3, 1, "", "loadSavedModel"], [363, 2, 1, "", "name"], [363, 2, 1, "", "outputAnnotatorType"], [363, 3, 1, "", "pretrained"], [363, 3, 1, "", "setConfigProtoBytes"], [363, 3, 1, "", "setInstruction"]], "sparknlp.annotator.embeddings.longformer_embeddings": [[364, 1, 1, "", "LongformerEmbeddings"]], "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings": [[364, 2, 1, "", "configProtoBytes"], [364, 2, 1, "", "inputAnnotatorTypes"], [364, 3, 1, "", "loadSavedModel"], [364, 2, 1, "", "name"], [364, 2, 1, "", "outputAnnotatorType"], [364, 3, 1, "", "pretrained"], [364, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.minilm_embeddings": [[365, 1, 1, "", "MiniLMEmbeddings"]], "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings": [[365, 2, 1, "", "configProtoBytes"], [365, 2, 1, "", "inputAnnotatorTypes"], [365, 3, 1, "", "loadSavedModel"], [365, 2, 1, "", "name"], [365, 2, 1, "", "outputAnnotatorType"], [365, 3, 1, "", "pretrained"], [365, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.mpnet_embeddings": [[366, 1, 1, "", "MPNetEmbeddings"]], "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings": [[366, 2, 1, "", "configProtoBytes"], [366, 2, 1, "", "inputAnnotatorTypes"], [366, 3, 1, "", "loadSavedModel"], [366, 2, 1, "", "name"], [366, 2, 1, "", "outputAnnotatorType"], [366, 3, 1, "", "pretrained"], [366, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.mxbai_embeddings": [[367, 1, 1, "", "MxbaiEmbeddings"]], "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings": [[367, 2, 1, "", "inputAnnotatorTypes"], [367, 3, 1, "", "loadSavedModel"], [367, 2, 1, "", "name"], [367, 2, 1, "", "outputAnnotatorType"], [367, 2, 1, "", "poolingStrategy"], [367, 3, 1, "", "pretrained"], [367, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.nomic_embeddings": [[368, 1, 1, "", "NomicEmbeddings"]], "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings": [[368, 2, 1, "", "configProtoBytes"], [368, 2, 1, "", "inputAnnotatorTypes"], [368, 3, 1, "", "loadSavedModel"], [368, 2, 1, "", "name"], [368, 2, 1, "", "outputAnnotatorType"], [368, 3, 1, "", "pretrained"], [368, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_embeddings": [[369, 1, 1, "", "RoBertaEmbeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings": [[369, 2, 1, "", "configProtoBytes"], [369, 2, 1, "", "inputAnnotatorTypes"], [369, 3, 1, "", "loadSavedModel"], [369, 2, 1, "", "name"], [369, 2, 1, "", "outputAnnotatorType"], [369, 3, 1, "", "pretrained"], [369, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings": [[370, 1, 1, "", "RoBertaSentenceEmbeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings": [[370, 2, 1, "", "configProtoBytes"], [370, 2, 1, "", "inputAnnotatorTypes"], [370, 3, 1, "", "loadSavedModel"], [370, 2, 1, "", "name"], [370, 2, 1, "", "outputAnnotatorType"], [370, 3, 1, "", "pretrained"], [370, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.sentence_embeddings": [[371, 1, 1, "", "SentenceEmbeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings": [[371, 2, 1, "", "inputAnnotatorTypes"], [371, 2, 1, "", "name"], [371, 2, 1, "", "outputAnnotatorType"], [371, 2, 1, "", "poolingStrategy"], [371, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.snowflake_embeddings": [[372, 1, 1, "", "SnowFlakeEmbeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings": [[372, 2, 1, "", "inputAnnotatorTypes"], [372, 3, 1, "", "loadSavedModel"], [372, 2, 1, "", "name"], [372, 2, 1, "", "outputAnnotatorType"], [372, 2, 1, "", "poolingStrategy"], [372, 3, 1, "", "pretrained"], [372, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.uae_embeddings": [[373, 1, 1, "", "UAEEmbeddings"]], "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings": [[373, 2, 1, "", "inputAnnotatorTypes"], [373, 3, 1, "", "loadSavedModel"], [373, 2, 1, "", "name"], [373, 2, 1, "", "outputAnnotatorType"], [373, 2, 1, "", "poolingStrategy"], [373, 3, 1, "", "pretrained"], [373, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.universal_sentence_encoder": [[374, 1, 1, "", "UniversalSentenceEncoder"]], "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder": [[374, 2, 1, "", "configProtoBytes"], [374, 2, 1, "", "inputAnnotatorTypes"], [374, 2, 1, "", "loadSP"], [374, 3, 1, "", "loadSavedModel"], [374, 2, 1, "", "name"], [374, 2, 1, "", "outputAnnotatorType"], [374, 3, 1, "", "pretrained"], [374, 3, 1, "", "setConfigProtoBytes"], [374, 3, 1, "", "setLoadSP"]], "sparknlp.annotator.embeddings.word2vec": [[375, 1, 1, "", "Word2VecApproach"], [375, 1, 1, "", "Word2VecModel"]], "sparknlp.annotator.embeddings.word2vec.Word2VecApproach": [[375, 2, 1, "", "inputAnnotatorTypes"], [375, 2, 1, "", "maxIter"], [375, 2, 1, "", "maxSentenceLength"], [375, 2, 1, "", "minCount"], [375, 2, 1, "", "numPartitions"], [375, 2, 1, "", "outputAnnotatorType"], [375, 2, 1, "", "seed"], [375, 3, 1, "", "setMaxIter"], [375, 3, 1, "", "setMaxSentenceLength"], [375, 3, 1, "", "setMinCount"], [375, 3, 1, "", "setNumPartitions"], [375, 3, 1, "", "setSeed"], [375, 3, 1, "", "setStepSize"], [375, 3, 1, "", "setVectorSize"], [375, 3, 1, "", "setWindowSize"], [375, 2, 1, "", "stepSize"], [375, 2, 1, "", "vectorSize"], [375, 2, 1, "", "windowSize"]], "sparknlp.annotator.embeddings.word2vec.Word2VecModel": [[375, 3, 1, "", "getVectors"], [375, 2, 1, "", "inputAnnotatorTypes"], [375, 2, 1, "", "name"], [375, 2, 1, "", "outputAnnotatorType"], [375, 3, 1, "", "pretrained"], [375, 3, 1, "", "setVectorSize"], [375, 2, 1, "", "vectorSize"]], "sparknlp.annotator.embeddings.word_embeddings": [[376, 1, 1, "", "WordEmbeddings"], [376, 1, 1, "", "WordEmbeddingsModel"]], "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings": [[376, 2, 1, "", "inputAnnotatorTypes"], [376, 2, 1, "", "name"], [376, 2, 1, "", "outputAnnotatorType"], [376, 2, 1, "", "readCacheSize"], [376, 3, 1, "", "setReadCacheSize"], [376, 3, 1, "", "setWriteBufferSize"], [376, 2, 1, "", "writeBufferSize"]], "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel": [[376, 2, 1, "", "databases"], [376, 2, 1, "", "inputAnnotatorTypes"], [376, 3, 1, "", "loadStorage"], [376, 2, 1, "", "name"], [376, 2, 1, "", "outputAnnotatorType"], [376, 3, 1, "", "overallCoverage"], [376, 3, 1, "", "pretrained"], [376, 2, 1, "", "readCacheSize"], [376, 3, 1, "", "setReadCacheSize"], [376, 3, 1, "", "withCoverageColumn"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings": [[377, 1, 1, "", "XlmRoBertaEmbeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings": [[377, 2, 1, "", "configProtoBytes"], [377, 2, 1, "", "inputAnnotatorTypes"], [377, 3, 1, "", "loadSavedModel"], [377, 2, 1, "", "name"], [377, 2, 1, "", "outputAnnotatorType"], [377, 3, 1, "", "pretrained"], [377, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings": [[378, 1, 1, "", "XlmRoBertaSentenceEmbeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings": [[378, 2, 1, "", "configProtoBytes"], [378, 2, 1, "", "inputAnnotatorTypes"], [378, 3, 1, "", "loadSavedModel"], [378, 2, 1, "", "name"], [378, 2, 1, "", "outputAnnotatorType"], [378, 3, 1, "", "pretrained"], [378, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlnet_embeddings": [[379, 1, 1, "", "XlnetEmbeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings": [[379, 2, 1, "", "configProtoBytes"], [379, 2, 1, "", "inputAnnotatorTypes"], [379, 3, 1, "", "loadSavedModel"], [379, 2, 1, "", "name"], [379, 2, 1, "", "outputAnnotatorType"], [379, 3, 1, "", "pretrained"], [379, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.er": [[380, 0, 0, "-", "entity_ruler"]], "sparknlp.annotator.er.entity_ruler": [[380, 1, 1, "", "EntityRulerApproach"], [380, 1, 1, "", "EntityRulerModel"]], "sparknlp.annotator.er.entity_ruler.EntityRulerApproach": [[380, 2, 1, "", "alphabet"], [380, 2, 1, "", "inputAnnotatorTypes"], [380, 2, 1, "", "name"], [380, 2, 1, "", "optionalInputAnnotatorTypes"], [380, 2, 1, "", "outputAnnotatorType"], [380, 2, 1, "", "patternsResource"], [380, 2, 1, "", "sentenceMatch"], [380, 3, 1, "", "setAlphabetResource"], [380, 3, 1, "", "setPatternsResource"], [380, 3, 1, "", "setSentenceMatch"], [380, 3, 1, "", "setUseStorage"], [380, 2, 1, "", "useStorage"]], "sparknlp.annotator.er.entity_ruler.EntityRulerModel": [[380, 2, 1, "", "database"], [380, 2, 1, "", "inputAnnotatorTypes"], [380, 3, 1, "", "loadStorage"], [380, 2, 1, "", "name"], [380, 2, 1, "", "optionalInputAnnotatorTypes"], [380, 2, 1, "", "outputAnnotatorType"], [380, 3, 1, "", "pretrained"]], "sparknlp.annotator.graph_extraction": [[382, 1, 1, "", "GraphExtraction"]], "sparknlp.annotator.graph_extraction.GraphExtraction": [[382, 2, 1, "", "delimiter"], [382, 2, 1, "", "dependencyParserModel"], [382, 2, 1, "", "entityTypes"], [382, 2, 1, "", "explodeEntities"], [382, 2, 1, "", "includeEdges"], [382, 2, 1, "", "inputAnnotatorTypes"], [382, 2, 1, "", "maxSentenceSize"], [382, 2, 1, "", "mergeEntities"], [382, 2, 1, "", "mergeEntitiesIOBFormat"], [382, 2, 1, "", "minSentenceSize"], [382, 2, 1, "", "name"], [382, 2, 1, "", "optionalInputAnnotatorTypes"], [382, 2, 1, "", "outputAnnotatorType"], [382, 2, 1, "", "posModel"], [382, 2, 1, "", "relationshipTypes"], [382, 2, 1, "", "rootTokens"], [382, 3, 1, "", "setDelimiter"], [382, 3, 1, "", "setDependencyParserModel"], [382, 3, 1, "", "setEntityTypes"], [382, 3, 1, "", "setExplodeEntities"], [382, 3, 1, "", "setIncludeEdges"], [382, 3, 1, "", "setMaxSentenceSize"], [382, 3, 1, "", "setMergeEntities"], [382, 3, 1, "", "setMergeEntitiesIOBFormat"], [382, 3, 1, "", "setMinSentenceSize"], [382, 3, 1, "", "setPosModel"], [382, 3, 1, "", "setRelationshipTypes"], [382, 3, 1, "", "setRootTokens"], [382, 3, 1, "", "setTypedDependencyParserModel"], [382, 2, 1, "", "typedDependencyParserModel"]], "sparknlp.annotator.keyword_extraction": [[385, 0, 0, "-", "yake_keyword_extraction"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction": [[385, 1, 1, "", "YakeKeywordExtraction"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction": [[385, 3, 1, "", "getStopWords"], [385, 2, 1, "", "inputAnnotatorTypes"], [385, 3, 1, "", "loadDefaultStopWords"], [385, 2, 1, "", "maxNGrams"], [385, 2, 1, "", "minNGrams"], [385, 2, 1, "", "nKeywords"], [385, 2, 1, "", "name"], [385, 2, 1, "", "outputAnnotatorType"], [385, 3, 1, "", "setMaxNGrams"], [385, 3, 1, "", "setMinNGrams"], [385, 3, 1, "", "setNKeywords"], [385, 3, 1, "", "setStopWords"], [385, 3, 1, "", "setThreshold"], [385, 3, 1, "", "setWindowSize"], [385, 2, 1, "", "stopWords"], [385, 2, 1, "", "threshold"], [385, 2, 1, "", "windowSize"]], "sparknlp.annotator.ld_dl": [[387, 0, 0, "-", "language_detector_dl"]], "sparknlp.annotator.ld_dl.language_detector_dl": [[387, 1, 1, "", "LanguageDetectorDL"]], "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL": [[387, 2, 1, "", "coalesceSentences"], [387, 2, 1, "", "configProtoBytes"], [387, 2, 1, "", "inputAnnotatorTypes"], [387, 2, 1, "", "languages"], [387, 2, 1, "", "name"], [387, 2, 1, "", "outputAnnotatorType"], [387, 3, 1, "", "pretrained"], [387, 3, 1, "", "setCoalesceSentences"], [387, 3, 1, "", "setConfigProtoBytes"], [387, 3, 1, "", "setThreshold"], [387, 3, 1, "", "setThresholdLabel"], [387, 2, 1, "", "threshold"], [387, 2, 1, "", "thresholdLabel"]], "sparknlp.annotator.lemmatizer": [[388, 1, 1, "", "Lemmatizer"], [388, 1, 1, "", "LemmatizerModel"]], "sparknlp.annotator.lemmatizer.Lemmatizer": [[388, 2, 1, "", "dictionary"], [388, 2, 1, "", "formCol"], [388, 2, 1, "", "inputAnnotatorTypes"], [388, 2, 1, "", "lemmaCol"], [388, 2, 1, "", "outputAnnotatorType"], [388, 3, 1, "", "setDictionary"], [388, 3, 1, "", "setFormCol"], [388, 3, 1, "", "setLemmaCol"]], "sparknlp.annotator.lemmatizer.LemmatizerModel": [[388, 2, 1, "", "inputAnnotatorTypes"], [388, 2, 1, "", "name"], [388, 2, 1, "", "outputAnnotatorType"], [388, 3, 1, "", "pretrained"]], "sparknlp.annotator.matcher": [[389, 0, 0, "-", "big_text_matcher"], [390, 0, 0, "-", "date_matcher"], [392, 0, 0, "-", "multi_date_matcher"], [393, 0, 0, "-", "regex_matcher"], [394, 0, 0, "-", "text_matcher"]], "sparknlp.annotator.matcher.big_text_matcher": [[389, 1, 1, "", "BigTextMatcher"], [389, 1, 1, "", "BigTextMatcherModel"]], "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher": [[389, 2, 1, "", "caseSensitive"], [389, 2, 1, "", "entities"], [389, 2, 1, "", "inputAnnotatorTypes"], [389, 2, 1, "", "mergeOverlapping"], [389, 2, 1, "", "outputAnnotatorType"], [389, 3, 1, "", "setCaseSensitive"], [389, 3, 1, "", "setEntities"], [389, 3, 1, "", "setMergeOverlapping"], [389, 3, 1, "", "setTokenizer"], [389, 2, 1, "", "tokenizer"]], "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel": [[389, 2, 1, "", "caseSensitive"], [389, 2, 1, "", "databases"], [389, 2, 1, "", "inputAnnotatorTypes"], [389, 3, 1, "", "loadStorage"], [389, 2, 1, "", "mergeOverlapping"], [389, 2, 1, "", "name"], [389, 2, 1, "", "outputAnnotatorType"], [389, 3, 1, "", "pretrained"], [389, 2, 1, "", "searchTrie"], [389, 3, 1, "", "setCaseSensitive"], [389, 3, 1, "", "setMergeOverlapping"]], "sparknlp.annotator.matcher.date_matcher": [[390, 1, 1, "", "DateMatcher"], [390, 1, 1, "", "DateMatcherUtils"]], "sparknlp.annotator.matcher.date_matcher.DateMatcher": [[390, 2, 1, "", "inputAnnotatorTypes"], [390, 2, 1, "", "name"], [390, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils": [[390, 2, 1, "", "aggressiveMatching"], [390, 2, 1, "", "anchorDateDay"], [390, 2, 1, "", "anchorDateMonth"], [390, 2, 1, "", "anchorDateYear"], [390, 2, 1, "", "defaultDayWhenMissing"], [390, 2, 1, "", "inputFormats"], [390, 2, 1, "", "outputFormat"], [390, 2, 1, "", "readMonthFirst"], [390, 2, 1, "", "relaxedFactoryStrategy"], [390, 3, 1, "", "setAggressiveMatching"], [390, 3, 1, "", "setAnchorDateDay"], [390, 3, 1, "", "setAnchorDateMonth"], [390, 3, 1, "", "setAnchorDateYear"], [390, 3, 1, "", "setDefaultDayWhenMissing"], [390, 3, 1, "", "setInputFormats"], [390, 3, 1, "", "setOutputFormat"], [390, 3, 1, "", "setReadMonthFirst"], [390, 3, 1, "", "setRelaxedFactoryStrategy"], [390, 3, 1, "", "setSourceLanguage"], [390, 2, 1, "", "sourceLanguage"]], "sparknlp.annotator.matcher.multi_date_matcher": [[392, 1, 1, "", "MultiDateMatcher"]], "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher": [[392, 2, 1, "", "inputAnnotatorTypes"], [392, 2, 1, "", "name"], [392, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.matcher.regex_matcher": [[393, 1, 1, "", "RegexMatcher"], [393, 1, 1, "", "RegexMatcherModel"]], "sparknlp.annotator.matcher.regex_matcher.RegexMatcher": [[393, 2, 1, "", "delimiter"], [393, 2, 1, "", "externalRules"], [393, 2, 1, "", "inputAnnotatorTypes"], [393, 2, 1, "", "outputAnnotatorType"], [393, 2, 1, "", "rules"], [393, 3, 1, "", "setDelimiter"], [393, 3, 1, "", "setExternalRules"], [393, 3, 1, "", "setRules"], [393, 3, 1, "", "setStrategy"], [393, 2, 1, "", "strategy"]], "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel": [[393, 2, 1, "", "inputAnnotatorTypes"], [393, 2, 1, "", "name"], [393, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.matcher.text_matcher": [[394, 1, 1, "", "TextMatcher"], [394, 1, 1, "", "TextMatcherModel"]], "sparknlp.annotator.matcher.text_matcher.TextMatcher": [[394, 2, 1, "", "buildFromTokens"], [394, 2, 1, "", "caseSensitive"], [394, 2, 1, "", "entities"], [394, 2, 1, "", "entityValue"], [394, 2, 1, "", "inputAnnotatorTypes"], [394, 2, 1, "", "mergeOverlapping"], [394, 2, 1, "", "outputAnnotatorType"], [394, 3, 1, "", "setBuildFromTokens"], [394, 3, 1, "", "setCaseSensitive"], [394, 3, 1, "", "setEntities"], [394, 3, 1, "", "setEntityValue"], [394, 3, 1, "", "setMergeOverlapping"]], "sparknlp.annotator.matcher.text_matcher.TextMatcherModel": [[394, 2, 1, "", "buildFromTokens"], [394, 2, 1, "", "entityValue"], [394, 2, 1, "", "inputAnnotatorTypes"], [394, 2, 1, "", "mergeOverlapping"], [394, 2, 1, "", "name"], [394, 2, 1, "", "outputAnnotatorType"], [394, 3, 1, "", "pretrained"], [394, 2, 1, "", "searchTrie"], [394, 3, 1, "", "setBuildFromTokens"], [394, 3, 1, "", "setEntityValue"], [394, 3, 1, "", "setMergeOverlapping"]], "sparknlp.annotator.n_gram_generator": [[395, 1, 1, "", "NGramGenerator"]], "sparknlp.annotator.n_gram_generator.NGramGenerator": [[395, 2, 1, "", "delimiter"], [395, 2, 1, "", "enableCumulative"], [395, 2, 1, "", "inputAnnotatorTypes"], [395, 2, 1, "", "n"], [395, 2, 1, "", "name"], [395, 2, 1, "", "outputAnnotatorType"], [395, 3, 1, "", "setDelimiter"], [395, 3, 1, "", "setEnableCumulative"], [395, 3, 1, "", "setN"]], "sparknlp.annotator.ner": [[397, 0, 0, "-", "ner_approach"], [398, 0, 0, "-", "ner_converter"], [399, 0, 0, "-", "ner_crf"], [400, 0, 0, "-", "ner_dl"], [401, 0, 0, "-", "ner_dl_graph_checker"], [402, 0, 0, "-", "ner_overwriter"], [403, 0, 0, "-", "zero_shot_ner_model"]], "sparknlp.annotator.ner.ner_approach": [[397, 1, 1, "", "NerApproach"]], "sparknlp.annotator.ner.ner_approach.NerApproach": [[397, 2, 1, "", "entities"], [397, 3, 1, "", "getLabelColumn"], [397, 2, 1, "", "labelColumn"], [397, 2, 1, "", "maxEpochs"], [397, 2, 1, "", "minEpochs"], [397, 2, 1, "", "randomSeed"], [397, 3, 1, "", "setEntities"], [397, 3, 1, "", "setLabelColumn"], [397, 3, 1, "", "setMaxEpochs"], [397, 3, 1, "", "setMinEpochs"], [397, 3, 1, "", "setRandomSeed"]], "sparknlp.annotator.ner.ner_converter": [[398, 1, 1, "", "NerConverter"]], "sparknlp.annotator.ner.ner_converter.NerConverter": [[398, 2, 1, "", "inputAnnotatorTypes"], [398, 2, 1, "", "name"], [398, 2, 1, "", "nerHasNoSchema"], [398, 2, 1, "", "outputAnnotatorType"], [398, 2, 1, "", "preservePosition"], [398, 3, 1, "", "setNerHasNoSchema"], [398, 3, 1, "", "setPreservePosition"], [398, 3, 1, "", "setWhiteList"], [398, 2, 1, "", "whiteList"]], "sparknlp.annotator.ner.ner_crf": [[399, 1, 1, "", "NerCrfApproach"], [399, 1, 1, "", "NerCrfModel"]], "sparknlp.annotator.ner.ner_crf.NerCrfApproach": [[399, 2, 1, "", "c0"], [399, 2, 1, "", "externalFeatures"], [399, 2, 1, "", "includeConfidence"], [399, 2, 1, "", "inputAnnotatorTypes"], [399, 2, 1, "", "l2"], [399, 2, 1, "", "lossEps"], [399, 2, 1, "", "minW"], [399, 2, 1, "", "outputAnnotatorType"], [399, 3, 1, "", "setC0"], [399, 3, 1, "", "setExternalFeatures"], [399, 3, 1, "", "setIncludeConfidence"], [399, 3, 1, "", "setL2"], [399, 3, 1, "", "setLossEps"], [399, 3, 1, "", "setMinW"], [399, 3, 1, "", "setVerbose"], [399, 2, 1, "", "verbose"]], "sparknlp.annotator.ner.ner_crf.NerCrfModel": [[399, 2, 1, "", "includeConfidence"], [399, 2, 1, "", "inputAnnotatorTypes"], [399, 2, 1, "", "name"], [399, 2, 1, "", "outputAnnotatorType"], [399, 3, 1, "", "pretrained"], [399, 3, 1, "", "setIncludeConfidence"]], "sparknlp.annotator.ner.ner_dl": [[400, 1, 1, "", "NerDLApproach"], [400, 1, 1, "", "NerDLModel"]], "sparknlp.annotator.ner.ner_dl.NerDLApproach": [[400, 2, 1, "", "batchSize"], [400, 2, 1, "", "bestModelMetric"], [400, 2, 1, "", "configProtoBytes"], [400, 2, 1, "", "dropout"], [400, 2, 1, "", "enableMemoryOptimizer"], [400, 2, 1, "", "graphFolder"], [400, 2, 1, "", "includeAllConfidenceScores"], [400, 2, 1, "", "includeConfidence"], [400, 2, 1, "", "inputAnnotatorTypes"], [400, 2, 1, "", "lr"], [400, 2, 1, "", "outputAnnotatorType"], [400, 2, 1, "", "po"], [400, 3, 1, "", "setBatchSize"], [400, 3, 1, "", "setBestModelMetric"], [400, 3, 1, "", "setConfigProtoBytes"], [400, 3, 1, "", "setDropout"], [400, 3, 1, "", "setEnableMemoryOptimizer"], [400, 3, 1, "", "setGraphFolder"], [400, 3, 1, "", "setIncludeAllConfidenceScores"], [400, 3, 1, "", "setIncludeConfidence"], [400, 3, 1, "", "setLr"], [400, 3, 1, "", "setPo"], [400, 3, 1, "", "setUseBestModel"], [400, 3, 1, "", "setUseContrib"], [400, 2, 1, "", "useBestModel"], [400, 2, 1, "", "useContrib"]], "sparknlp.annotator.ner.ner_dl.NerDLModel": [[400, 2, 1, "", "classes"], [400, 2, 1, "", "configProtoBytes"], [400, 2, 1, "", "includeAllConfidenceScores"], [400, 2, 1, "", "includeConfidence"], [400, 2, 1, "", "inputAnnotatorTypes"], [400, 2, 1, "", "name"], [400, 2, 1, "", "outputAnnotatorType"], [400, 3, 1, "", "pretrained"], [400, 3, 1, "", "setConfigProtoBytes"], [400, 3, 1, "", "setIncludeAllConfidenceScores"], [400, 3, 1, "", "setIncludeConfidence"]], "sparknlp.annotator.ner.ner_dl_graph_checker": [[401, 1, 1, "", "NerDLGraphChecker"], [401, 1, 1, "", "NerDLGraphCheckerModel"]], "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker": [[401, 2, 1, "", "embeddingsDim"], [401, 2, 1, "", "graphFolder"], [401, 2, 1, "", "inputAnnotatorTypes"], [401, 2, 1, "", "inputCols"], [401, 2, 1, "", "labelColumn"], [401, 3, 1, "", "setEmbeddingsDim"], [401, 3, 1, "", "setEmbeddingsModel"], [401, 3, 1, "", "setGraphFolder"], [401, 3, 1, "", "setInputCols"], [401, 3, 1, "", "setLabelColumn"]], "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel": [[401, 2, 1, "", "inputAnnotatorTypes"]], "sparknlp.annotator.ner.ner_overwriter": [[402, 1, 1, "", "NerOverwriter"]], "sparknlp.annotator.ner.ner_overwriter.NerOverwriter": [[402, 2, 1, "", "inputAnnotatorTypes"], [402, 2, 1, "", "name"], [402, 2, 1, "", "nerWords"], [402, 2, 1, "", "newNerEntity"], [402, 2, 1, "", "outputAnnotatorType"], [402, 2, 1, "", "replaceEntities"], [402, 3, 1, "", "setNerWords"], [402, 3, 1, "", "setNewNerEntity"], [402, 3, 1, "", "setReplaceEntities"]], "sparknlp.annotator.ner.zero_shot_ner_model": [[403, 1, 1, "", "ZeroShotNerModel"]], "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel": [[403, 3, 1, "", "getClasses"], [403, 2, 1, "", "ignoreEntities"], [403, 2, 1, "", "inputAnnotatorTypes"], [403, 3, 1, "", "load"], [403, 2, 1, "", "name"], [403, 2, 1, "", "outputAnnotatorType"], [403, 2, 1, "", "predictionThreshold"], [403, 3, 1, "", "pretrained"], [403, 3, 1, "", "setEntityDefinitions"], [403, 3, 1, "", "setPredictionThreshold"]], "sparknlp.annotator.normalizer": [[404, 1, 1, "", "Normalizer"], [404, 1, 1, "", "NormalizerModel"]], "sparknlp.annotator.normalizer.Normalizer": [[404, 2, 1, "", "cleanupPatterns"], [404, 2, 1, "", "inputAnnotatorTypes"], [404, 2, 1, "", "lowercase"], [404, 2, 1, "", "maxLength"], [404, 2, 1, "", "minLength"], [404, 2, 1, "", "outputAnnotatorType"], [404, 3, 1, "", "setCleanupPatterns"], [404, 3, 1, "", "setLowercase"], [404, 3, 1, "", "setMaxLength"], [404, 3, 1, "", "setMinLength"], [404, 3, 1, "", "setSlangDictionary"], [404, 2, 1, "", "slangDictionary"], [404, 2, 1, "", "slangMatchCase"]], "sparknlp.annotator.normalizer.NormalizerModel": [[404, 2, 1, "", "cleanupPatterns"], [404, 2, 1, "", "inputAnnotatorTypes"], [404, 2, 1, "", "lowercase"], [404, 2, 1, "", "name"], [404, 2, 1, "", "outputAnnotatorType"], [404, 2, 1, "", "slangMatchCase"]], "sparknlp.annotator.openai": [[406, 0, 0, "-", "openai_completion"], [407, 0, 0, "-", "openai_embeddings"]], "sparknlp.annotator.openai.openai_completion": [[406, 1, 1, "", "OpenAICompletion"]], "sparknlp.annotator.openai.openai_completion.OpenAICompletion": [[406, 2, 1, "", "bestOf"], [406, 2, 1, "", "echo"], [406, 2, 1, "", "frequencyPenalty"], [406, 2, 1, "", "inputAnnotatorTypes"], [406, 2, 1, "", "logitBias"], [406, 2, 1, "", "logprobs"], [406, 2, 1, "", "maxTokens"], [406, 2, 1, "", "model"], [406, 2, 1, "", "name"], [406, 2, 1, "", "numberOfCompletions"], [406, 2, 1, "", "outputAnnotatorType"], [406, 2, 1, "", "presencePenalty"], [406, 3, 1, "", "setBestOf"], [406, 3, 1, "", "setEcho"], [406, 3, 1, "", "setFrequencyPenalty"], [406, 3, 1, "", "setLogitBias"], [406, 3, 1, "", "setLogprobs"], [406, 3, 1, "", "setMaxTokens"], [406, 3, 1, "", "setModel"], [406, 3, 1, "", "setNumberOfCompletions"], [406, 3, 1, "", "setPresencePenalty"], [406, 3, 1, "", "setStop"], [406, 3, 1, "", "setSuffix"], [406, 3, 1, "", "setTemperature"], [406, 3, 1, "", "setTopP"], [406, 3, 1, "", "setUser"], [406, 2, 1, "", "stop"], [406, 2, 1, "", "suffix"], [406, 2, 1, "", "temperature"], [406, 2, 1, "", "topP"], [406, 2, 1, "", "user"]], "sparknlp.annotator.openai.openai_embeddings": [[407, 1, 1, "", "OpenAIEmbeddings"]], "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings": [[407, 2, 1, "", "inputAnnotatorTypes"], [407, 2, 1, "", "model"], [407, 2, 1, "", "name"], [407, 2, 1, "", "outputAnnotatorType"], [407, 3, 1, "", "setModel"], [407, 3, 1, "", "setUser"], [407, 2, 1, "", "user"]], "sparknlp.annotator.param": [[408, 0, 0, "-", "classifier_encoder"], [409, 0, 0, "-", "evaluation_dl_params"]], "sparknlp.annotator.param.classifier_encoder": [[408, 1, 1, "", "ClassifierEncoder"]], "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder": [[408, 2, 1, "", "batchSize"], [408, 2, 1, "", "configProtoBytes"], [408, 2, 1, "", "labelColumn"], [408, 2, 1, "", "lr"], [408, 2, 1, "", "maxEpochs"], [408, 2, 1, "", "randomSeed"], [408, 3, 1, "", "setBatchSize"], [408, 3, 1, "", "setConfigProtoBytes"], [408, 3, 1, "", "setLabelColumn"], [408, 3, 1, "", "setLr"], [408, 3, 1, "", "setMaxEpochs"], [408, 3, 1, "", "setRandomSeed"]], "sparknlp.annotator.param.evaluation_dl_params": [[409, 1, 1, "", "EvaluationDLParams"]], "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams": [[409, 2, 1, "", "enableOutputLogs"], [409, 2, 1, "", "evaluationLogExtended"], [409, 2, 1, "", "outputLogsPath"], [409, 3, 1, "", "setEnableOutputLogs"], [409, 3, 1, "", "setEvaluationLogExtended"], [409, 3, 1, "", "setOutputLogsPath"], [409, 3, 1, "", "setTestDataset"], [409, 3, 1, "", "setValidationSplit"], [409, 3, 1, "", "setVerbose"], [409, 2, 1, "", "testDataset"], [409, 2, 1, "", "validationSplit"], [409, 2, 1, "", "verbose"]], "sparknlp.annotator.pos": [[412, 0, 0, "-", "perceptron"]], "sparknlp.annotator.pos.perceptron": [[412, 1, 1, "", "PerceptronApproach"], [412, 1, 1, "", "PerceptronModel"]], "sparknlp.annotator.pos.perceptron.PerceptronApproach": [[412, 3, 1, "", "getNIterations"], [412, 2, 1, "", "inputAnnotatorTypes"], [412, 2, 1, "", "nIterations"], [412, 2, 1, "", "outputAnnotatorType"], [412, 2, 1, "", "posCol"], [412, 3, 1, "", "setIterations"], [412, 3, 1, "", "setPosColumn"]], "sparknlp.annotator.pos.perceptron.PerceptronModel": [[412, 2, 1, "", "inputAnnotatorTypes"], [412, 2, 1, "", "name"], [412, 2, 1, "", "outputAnnotatorType"], [412, 3, 1, "", "pretrained"]], "sparknlp.annotator.sentence": [[414, 0, 0, "-", "sentence_detector"], [415, 0, 0, "-", "sentence_detector_dl"]], "sparknlp.annotator.sentence.sentence_detector": [[414, 1, 1, "", "SentenceDetector"], [414, 1, 1, "", "SentenceDetectorParams"]], "sparknlp.annotator.sentence.sentence_detector.SentenceDetector": [[414, 2, 1, "", "detectLists"], [414, 2, 1, "", "inputAnnotatorTypes"], [414, 2, 1, "", "name"], [414, 2, 1, "", "outputAnnotatorType"], [414, 3, 1, "", "setCustomBounds"], [414, 3, 1, "", "setCustomBoundsStrategy"], [414, 3, 1, "", "setDetectLists"], [414, 3, 1, "", "setExplodeSentences"], [414, 3, 1, "", "setMaxLength"], [414, 3, 1, "", "setMinLength"], [414, 3, 1, "", "setSplitLength"], [414, 3, 1, "", "setUseAbbreviations"], [414, 3, 1, "", "setUseCustomBoundsOnly"]], "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams": [[414, 2, 1, "", "customBounds"], [414, 2, 1, "", "customBoundsStrategy"], [414, 2, 1, "", "explodeSentences"], [414, 2, 1, "", "maxLength"], [414, 2, 1, "", "minLength"], [414, 2, 1, "", "splitLength"], [414, 2, 1, "", "useAbbreviations"], [414, 2, 1, "", "useCustomBoundsOnly"]], "sparknlp.annotator.sentence.sentence_detector_dl": [[415, 1, 1, "", "SentenceDetectorDLApproach"], [415, 1, 1, "", "SentenceDetectorDLModel"]], "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach": [[415, 2, 1, "", "epochsNumber"], [415, 2, 1, "", "explodeSentences"], [415, 2, 1, "", "impossiblePenultimates"], [415, 2, 1, "", "inputAnnotatorTypes"], [415, 2, 1, "", "modelArchitecture"], [415, 2, 1, "", "name"], [415, 2, 1, "", "outputAnnotatorType"], [415, 2, 1, "", "outputLogsPath"], [415, 3, 1, "", "setEpochsNumber"], [415, 3, 1, "", "setExplodeSentences"], [415, 3, 1, "", "setImpossiblePenultimates"], [415, 3, 1, "", "setModel"], [415, 3, 1, "", "setOutputLogsPath"], [415, 3, 1, "", "setValidationSplit"], [415, 2, 1, "", "validationSplit"]], "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel": [[415, 2, 1, "", "customBounds"], [415, 2, 1, "", "explodeSentences"], [415, 2, 1, "", "impossiblePenultimates"], [415, 2, 1, "", "inputAnnotatorTypes"], [415, 2, 1, "", "maxLength"], [415, 2, 1, "", "minLength"], [415, 2, 1, "", "modelArchitecture"], [415, 2, 1, "", "name"], [415, 2, 1, "", "outputAnnotatorType"], [415, 3, 1, "", "pretrained"], [415, 3, 1, "", "setCustomBounds"], [415, 3, 1, "", "setExplodeSentences"], [415, 3, 1, "", "setImpossiblePenultimates"], [415, 3, 1, "", "setMaxLength"], [415, 3, 1, "", "setMinLength"], [415, 3, 1, "", "setModel"], [415, 3, 1, "", "setSplitLength"], [415, 3, 1, "", "setUseCustomBoundsOnly"], [415, 2, 1, "", "splitLength"], [415, 2, 1, "", "useCustomBoundsOnly"]], "sparknlp.annotator.sentiment": [[417, 0, 0, "-", "sentiment_detector"], [418, 0, 0, "-", "vivekn_sentiment"]], "sparknlp.annotator.sentiment.sentiment_detector": [[417, 1, 1, "", "SentimentDetector"], [417, 1, 1, "", "SentimentDetectorModel"]], "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector": [[417, 2, 1, "", "decrementMultiplier"], [417, 2, 1, "", "dictionary"], [417, 2, 1, "", "enableScore"], [417, 2, 1, "", "incrementMultiplier"], [417, 2, 1, "", "inputAnnotatorTypes"], [417, 2, 1, "", "negativeMultiplier"], [417, 2, 1, "", "outputAnnotatorType"], [417, 2, 1, "", "positiveMultiplier"], [417, 2, 1, "", "reverseMultiplier"], [417, 3, 1, "", "setDictionary"]], "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel": [[417, 2, 1, "", "inputAnnotatorTypes"], [417, 2, 1, "", "name"], [417, 2, 1, "", "outputAnnotatorType"], [417, 2, 1, "", "positiveMultiplier"]], "sparknlp.annotator.sentiment.vivekn_sentiment": [[418, 1, 1, "", "ViveknSentimentApproach"], [418, 1, 1, "", "ViveknSentimentModel"]], "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach": [[418, 2, 1, "", "featureLimit"], [418, 2, 1, "", "importantFeatureRatio"], [418, 2, 1, "", "inputAnnotatorTypes"], [418, 2, 1, "", "outputAnnotatorType"], [418, 2, 1, "", "pruneCorpus"], [418, 2, 1, "", "sentimentCol"], [418, 3, 1, "", "setPruneCorpus"], [418, 3, 1, "", "setSentimentCol"], [418, 2, 1, "", "unimportantFeatureStep"]], "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel": [[418, 2, 1, "", "featureLimit"], [418, 2, 1, "", "importantFeatureRatio"], [418, 2, 1, "", "inputAnnotatorTypes"], [418, 2, 1, "", "name"], [418, 2, 1, "", "outputAnnotatorType"], [418, 3, 1, "", "pretrained"], [418, 2, 1, "", "unimportantFeatureStep"]], "sparknlp.annotator.seq2seq": [[419, 0, 0, "-", "auto_gguf_model"], [420, 0, 0, "-", "auto_gguf_reranker"], [421, 0, 0, "-", "auto_gguf_vision_model"], [422, 0, 0, "-", "bart_transformer"], [423, 0, 0, "-", "cohere_transformer"], [424, 0, 0, "-", "cpm_transformer"], [425, 0, 0, "-", "gpt2_transformer"], [427, 0, 0, "-", "llama2_transformer"], [428, 0, 0, "-", "llama3_transformer"], [429, 0, 0, "-", "m2m100_transformer"], [430, 0, 0, "-", "marian_transformer"], [431, 0, 0, "-", "mistral_transformer"], [432, 0, 0, "-", "nllb_transformer"], [433, 0, 0, "-", "olmo_transformer"], [434, 0, 0, "-", "phi2_transformer"], [435, 0, 0, "-", "phi3_transformer"], [436, 0, 0, "-", "phi4_transformer"], [437, 0, 0, "-", "qwen_transformer"], [438, 0, 0, "-", "starcoder_transformer"], [439, 0, 0, "-", "t5_transformer"]], "sparknlp.annotator.seq2seq.auto_gguf_model": [[419, 1, 1, "", "AutoGGUFModel"]], "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel": [[419, 2, 1, "", "inputAnnotatorTypes"], [419, 3, 1, "", "loadSavedModel"], [419, 2, 1, "", "name"], [419, 2, 1, "", "outputAnnotatorType"], [419, 3, 1, "", "pretrained"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker": [[420, 1, 1, "", "AutoGGUFReranker"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker": [[420, 3, 1, "", "getQuery"], [420, 2, 1, "", "inputAnnotatorTypes"], [420, 3, 1, "", "loadSavedModel"], [420, 2, 1, "", "name"], [420, 2, 1, "", "outputAnnotatorType"], [420, 3, 1, "", "pretrained"], [420, 2, 1, "", "query"], [420, 3, 1, "", "setQuery"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model": [[421, 1, 1, "", "AutoGGUFVisionModel"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel": [[421, 2, 1, "", "inputAnnotatorTypes"], [421, 3, 1, "", "loadSavedModel"], [421, 2, 1, "", "name"], [421, 2, 1, "", "outputAnnotatorType"], [421, 3, 1, "", "pretrained"]], "sparknlp.annotator.seq2seq.bart_transformer": [[422, 1, 1, "", "BartTransformer"]], "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer": [[422, 2, 1, "", "beamSize"], [422, 2, 1, "", "configProtoBytes"], [422, 2, 1, "", "doSample"], [422, 2, 1, "", "ignoreTokenIds"], [422, 2, 1, "", "inputAnnotatorTypes"], [422, 3, 1, "", "loadSavedModel"], [422, 2, 1, "", "maxOutputLength"], [422, 2, 1, "", "minOutputLength"], [422, 2, 1, "", "name"], [422, 2, 1, "", "noRepeatNgramSize"], [422, 2, 1, "", "outputAnnotatorType"], [422, 3, 1, "", "pretrained"], [422, 2, 1, "", "repetitionPenalty"], [422, 3, 1, "", "setBeamSize"], [422, 3, 1, "", "setCache"], [422, 3, 1, "", "setConfigProtoBytes"], [422, 3, 1, "", "setDoSample"], [422, 3, 1, "", "setIgnoreTokenIds"], [422, 3, 1, "", "setMaxOutputLength"], [422, 3, 1, "", "setMinOutputLength"], [422, 3, 1, "", "setNoRepeatNgramSize"], [422, 3, 1, "", "setRepetitionPenalty"], [422, 3, 1, "", "setTask"], [422, 3, 1, "", "setTemperature"], [422, 3, 1, "", "setTopK"], [422, 3, 1, "", "setTopP"], [422, 2, 1, "", "task"], [422, 2, 1, "", "temperature"], [422, 2, 1, "", "topK"], [422, 2, 1, "", "topP"], [422, 2, 1, "", "useCache"]], "sparknlp.annotator.seq2seq.cohere_transformer": [[423, 1, 1, "", "CoHereTransformer"]], "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer": [[423, 2, 1, "", "beamSize"], [423, 2, 1, "", "configProtoBytes"], [423, 2, 1, "", "doSample"], [423, 2, 1, "", "ignoreTokenIds"], [423, 2, 1, "", "inputAnnotatorTypes"], [423, 3, 1, "", "loadSavedModel"], [423, 2, 1, "", "maxOutputLength"], [423, 2, 1, "", "minOutputLength"], [423, 2, 1, "", "name"], [423, 2, 1, "", "noRepeatNgramSize"], [423, 2, 1, "", "outputAnnotatorType"], [423, 3, 1, "", "pretrained"], [423, 2, 1, "", "repetitionPenalty"], [423, 3, 1, "", "setBeamSize"], [423, 3, 1, "", "setConfigProtoBytes"], [423, 3, 1, "", "setDoSample"], [423, 3, 1, "", "setIgnoreTokenIds"], [423, 3, 1, "", "setMaxOutputLength"], [423, 3, 1, "", "setMinOutputLength"], [423, 3, 1, "", "setNoRepeatNgramSize"], [423, 3, 1, "", "setRepetitionPenalty"], [423, 3, 1, "", "setStopTokenIds"], [423, 3, 1, "", "setTemperature"], [423, 3, 1, "", "setTopK"], [423, 3, 1, "", "setTopP"], [423, 2, 1, "", "stopTokenIds"], [423, 2, 1, "", "temperature"], [423, 2, 1, "", "topK"], [423, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.cpm_transformer": [[424, 1, 1, "", "CPMTransformer"]], "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer": [[424, 2, 1, "", "configProtoBytes"], [424, 2, 1, "", "doSample"], [424, 2, 1, "", "ignoreTokenIds"], [424, 2, 1, "", "inputAnnotatorTypes"], [424, 3, 1, "", "loadSavedModel"], [424, 2, 1, "", "maxOutputLength"], [424, 2, 1, "", "minOutputLength"], [424, 2, 1, "", "name"], [424, 2, 1, "", "noRepeatNgramSize"], [424, 2, 1, "", "outputAnnotatorType"], [424, 3, 1, "", "pretrained"], [424, 2, 1, "", "repetitionPenalty"], [424, 3, 1, "", "setConfigProtoBytes"], [424, 3, 1, "", "setDoSample"], [424, 3, 1, "", "setIgnoreTokenIds"], [424, 3, 1, "", "setMaxOutputLength"], [424, 3, 1, "", "setMinOutputLength"], [424, 3, 1, "", "setNoRepeatNgramSize"], [424, 3, 1, "", "setRepetitionPenalty"], [424, 3, 1, "", "setTemperature"], [424, 3, 1, "", "setTopK"], [424, 3, 1, "", "setTopP"], [424, 2, 1, "", "temperature"], [424, 2, 1, "", "topK"], [424, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.gpt2_transformer": [[425, 1, 1, "", "GPT2Transformer"]], "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer": [[425, 2, 1, "", "configProtoBytes"], [425, 2, 1, "", "doSample"], [425, 2, 1, "", "ignoreTokenIds"], [425, 2, 1, "", "inputAnnotatorTypes"], [425, 3, 1, "", "loadSavedModel"], [425, 2, 1, "", "maxOutputLength"], [425, 2, 1, "", "minOutputLength"], [425, 2, 1, "", "name"], [425, 2, 1, "", "noRepeatNgramSize"], [425, 2, 1, "", "outputAnnotatorType"], [425, 3, 1, "", "pretrained"], [425, 2, 1, "", "repetitionPenalty"], [425, 3, 1, "", "setConfigProtoBytes"], [425, 3, 1, "", "setDoSample"], [425, 3, 1, "", "setIgnoreTokenIds"], [425, 3, 1, "", "setMaxOutputLength"], [425, 3, 1, "", "setMinOutputLength"], [425, 3, 1, "", "setNoRepeatNgramSize"], [425, 3, 1, "", "setRepetitionPenalty"], [425, 3, 1, "", "setTask"], [425, 3, 1, "", "setTemperature"], [425, 3, 1, "", "setTopK"], [425, 3, 1, "", "setTopP"], [425, 2, 1, "", "task"], [425, 2, 1, "", "temperature"], [425, 2, 1, "", "topK"], [425, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.llama2_transformer": [[427, 1, 1, "", "LLAMA2Transformer"]], "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer": [[427, 2, 1, "", "configProtoBytes"], [427, 2, 1, "", "doSample"], [427, 2, 1, "", "ignoreTokenIds"], [427, 2, 1, "", "inputAnnotatorTypes"], [427, 3, 1, "", "loadSavedModel"], [427, 2, 1, "", "maxOutputLength"], [427, 2, 1, "", "minOutputLength"], [427, 2, 1, "", "name"], [427, 2, 1, "", "noRepeatNgramSize"], [427, 2, 1, "", "outputAnnotatorType"], [427, 3, 1, "", "pretrained"], [427, 2, 1, "", "repetitionPenalty"], [427, 3, 1, "", "setConfigProtoBytes"], [427, 3, 1, "", "setDoSample"], [427, 3, 1, "", "setIgnoreTokenIds"], [427, 3, 1, "", "setMaxOutputLength"], [427, 3, 1, "", "setMinOutputLength"], [427, 3, 1, "", "setNoRepeatNgramSize"], [427, 3, 1, "", "setRepetitionPenalty"], [427, 3, 1, "", "setTemperature"], [427, 3, 1, "", "setTopK"], [427, 3, 1, "", "setTopP"], [427, 2, 1, "", "temperature"], [427, 2, 1, "", "topK"], [427, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.llama3_transformer": [[428, 1, 1, "", "LLAMA3Transformer"]], "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer": [[428, 2, 1, "", "beamSize"], [428, 2, 1, "", "configProtoBytes"], [428, 2, 1, "", "doSample"], [428, 2, 1, "", "ignoreTokenIds"], [428, 2, 1, "", "inputAnnotatorTypes"], [428, 3, 1, "", "loadSavedModel"], [428, 2, 1, "", "maxOutputLength"], [428, 2, 1, "", "minOutputLength"], [428, 2, 1, "", "name"], [428, 2, 1, "", "noRepeatNgramSize"], [428, 2, 1, "", "outputAnnotatorType"], [428, 3, 1, "", "pretrained"], [428, 2, 1, "", "repetitionPenalty"], [428, 3, 1, "", "setBeamSize"], [428, 3, 1, "", "setConfigProtoBytes"], [428, 3, 1, "", "setDoSample"], [428, 3, 1, "", "setIgnoreTokenIds"], [428, 3, 1, "", "setMaxOutputLength"], [428, 3, 1, "", "setMinOutputLength"], [428, 3, 1, "", "setNoRepeatNgramSize"], [428, 3, 1, "", "setRepetitionPenalty"], [428, 3, 1, "", "setStopTokenIds"], [428, 3, 1, "", "setTemperature"], [428, 3, 1, "", "setTopK"], [428, 3, 1, "", "setTopP"], [428, 2, 1, "", "stopTokenIds"], [428, 2, 1, "", "temperature"], [428, 2, 1, "", "topK"], [428, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.m2m100_transformer": [[429, 1, 1, "", "M2M100Transformer"]], "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer": [[429, 2, 1, "", "beamSize"], [429, 2, 1, "", "configProtoBytes"], [429, 2, 1, "", "doSample"], [429, 2, 1, "", "ignoreTokenIds"], [429, 2, 1, "", "inputAnnotatorTypes"], [429, 3, 1, "", "loadSavedModel"], [429, 2, 1, "", "maxOutputLength"], [429, 2, 1, "", "minOutputLength"], [429, 2, 1, "", "name"], [429, 2, 1, "", "noRepeatNgramSize"], [429, 2, 1, "", "outputAnnotatorType"], [429, 3, 1, "", "pretrained"], [429, 2, 1, "", "repetitionPenalty"], [429, 3, 1, "", "setBeamSize"], [429, 3, 1, "", "setConfigProtoBytes"], [429, 3, 1, "", "setDoSample"], [429, 3, 1, "", "setIgnoreTokenIds"], [429, 3, 1, "", "setMaxOutputLength"], [429, 3, 1, "", "setMinOutputLength"], [429, 3, 1, "", "setNoRepeatNgramSize"], [429, 3, 1, "", "setRepetitionPenalty"], [429, 3, 1, "", "setSrcLang"], [429, 3, 1, "", "setTemperature"], [429, 3, 1, "", "setTgtLang"], [429, 3, 1, "", "setTopK"], [429, 3, 1, "", "setTopP"], [429, 2, 1, "", "srcLang"], [429, 2, 1, "", "temperature"], [429, 2, 1, "", "tgtLang"], [429, 2, 1, "", "topK"], [429, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.marian_transformer": [[430, 1, 1, "", "MarianTransformer"]], "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer": [[430, 2, 1, "", "configProtoBytes"], [430, 2, 1, "", "doSample"], [430, 2, 1, "", "ignoreTokenIds"], [430, 2, 1, "", "inputAnnotatorTypes"], [430, 2, 1, "", "langId"], [430, 3, 1, "", "loadSavedModel"], [430, 2, 1, "", "maxInputLength"], [430, 2, 1, "", "maxOutputLength"], [430, 2, 1, "", "name"], [430, 2, 1, "", "noRepeatNgramSize"], [430, 2, 1, "", "outputAnnotatorType"], [430, 3, 1, "", "pretrained"], [430, 2, 1, "", "repetitionPenalty"], [430, 3, 1, "", "setConfigProtoBytes"], [430, 3, 1, "", "setDoSample"], [430, 3, 1, "", "setIgnoreTokenIds"], [430, 3, 1, "", "setLangId"], [430, 3, 1, "", "setMaxInputLength"], [430, 3, 1, "", "setMaxOutputLength"], [430, 3, 1, "", "setNoRepeatNgramSize"], [430, 3, 1, "", "setRandomSeed"], [430, 3, 1, "", "setRepetitionPenalty"], [430, 3, 1, "", "setTemperature"], [430, 3, 1, "", "setTopK"], [430, 3, 1, "", "setTopP"], [430, 2, 1, "", "temperature"], [430, 2, 1, "", "topK"], [430, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.mistral_transformer": [[431, 1, 1, "", "MistralTransformer"]], "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer": [[431, 2, 1, "", "configProtoBytes"], [431, 2, 1, "", "doSample"], [431, 2, 1, "", "ignoreTokenIds"], [431, 2, 1, "", "inputAnnotatorTypes"], [431, 3, 1, "", "loadSavedModel"], [431, 2, 1, "", "maxOutputLength"], [431, 2, 1, "", "minOutputLength"], [431, 2, 1, "", "name"], [431, 2, 1, "", "noRepeatNgramSize"], [431, 2, 1, "", "outputAnnotatorType"], [431, 3, 1, "", "pretrained"], [431, 2, 1, "", "repetitionPenalty"], [431, 3, 1, "", "setConfigProtoBytes"], [431, 3, 1, "", "setDoSample"], [431, 3, 1, "", "setIgnoreTokenIds"], [431, 3, 1, "", "setMaxOutputLength"], [431, 3, 1, "", "setMinOutputLength"], [431, 3, 1, "", "setNoRepeatNgramSize"], [431, 3, 1, "", "setRepetitionPenalty"], [431, 3, 1, "", "setTemperature"], [431, 3, 1, "", "setTopK"], [431, 3, 1, "", "setTopP"], [431, 2, 1, "", "temperature"], [431, 2, 1, "", "topK"], [431, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.nllb_transformer": [[432, 1, 1, "", "NLLBTransformer"]], "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer": [[432, 2, 1, "", "beamSize"], [432, 2, 1, "", "configProtoBytes"], [432, 2, 1, "", "doSample"], [432, 2, 1, "", "ignoreTokenIds"], [432, 2, 1, "", "inputAnnotatorTypes"], [432, 3, 1, "", "loadSavedModel"], [432, 2, 1, "", "maxOutputLength"], [432, 2, 1, "", "minOutputLength"], [432, 2, 1, "", "name"], [432, 2, 1, "", "noRepeatNgramSize"], [432, 2, 1, "", "outputAnnotatorType"], [432, 3, 1, "", "pretrained"], [432, 2, 1, "", "repetitionPenalty"], [432, 3, 1, "", "setBeamSize"], [432, 3, 1, "", "setConfigProtoBytes"], [432, 3, 1, "", "setDoSample"], [432, 3, 1, "", "setIgnoreTokenIds"], [432, 3, 1, "", "setMaxOutputLength"], [432, 3, 1, "", "setMinOutputLength"], [432, 3, 1, "", "setNoRepeatNgramSize"], [432, 3, 1, "", "setRepetitionPenalty"], [432, 3, 1, "", "setSrcLang"], [432, 3, 1, "", "setTemperature"], [432, 3, 1, "", "setTgtLang"], [432, 3, 1, "", "setTopK"], [432, 3, 1, "", "setTopP"], [432, 2, 1, "", "srcLang"], [432, 2, 1, "", "temperature"], [432, 2, 1, "", "tgtLang"], [432, 2, 1, "", "topK"], [432, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.olmo_transformer": [[433, 1, 1, "", "OLMoTransformer"]], "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer": [[433, 2, 1, "", "configProtoBytes"], [433, 2, 1, "", "doSample"], [433, 2, 1, "", "ignoreTokenIds"], [433, 2, 1, "", "inputAnnotatorTypes"], [433, 3, 1, "", "loadSavedModel"], [433, 2, 1, "", "maxOutputLength"], [433, 2, 1, "", "minOutputLength"], [433, 2, 1, "", "name"], [433, 2, 1, "", "noRepeatNgramSize"], [433, 2, 1, "", "outputAnnotatorType"], [433, 3, 1, "", "pretrained"], [433, 2, 1, "", "repetitionPenalty"], [433, 3, 1, "", "setConfigProtoBytes"], [433, 3, 1, "", "setDoSample"], [433, 3, 1, "", "setIgnoreTokenIds"], [433, 3, 1, "", "setMaxOutputLength"], [433, 3, 1, "", "setMinOutputLength"], [433, 3, 1, "", "setNoRepeatNgramSize"], [433, 3, 1, "", "setRepetitionPenalty"], [433, 3, 1, "", "setTemperature"], [433, 3, 1, "", "setTopK"], [433, 3, 1, "", "setTopP"], [433, 2, 1, "", "temperature"], [433, 2, 1, "", "topK"], [433, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.phi2_transformer": [[434, 1, 1, "", "Phi2Transformer"]], "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer": [[434, 2, 1, "", "configProtoBytes"], [434, 2, 1, "", "doSample"], [434, 2, 1, "", "ignoreTokenIds"], [434, 2, 1, "", "inputAnnotatorTypes"], [434, 3, 1, "", "loadSavedModel"], [434, 2, 1, "", "maxOutputLength"], [434, 2, 1, "", "minOutputLength"], [434, 2, 1, "", "name"], [434, 2, 1, "", "noRepeatNgramSize"], [434, 2, 1, "", "outputAnnotatorType"], [434, 3, 1, "", "pretrained"], [434, 2, 1, "", "repetitionPenalty"], [434, 3, 1, "", "setConfigProtoBytes"], [434, 3, 1, "", "setDoSample"], [434, 3, 1, "", "setIgnoreTokenIds"], [434, 3, 1, "", "setMaxOutputLength"], [434, 3, 1, "", "setMinOutputLength"], [434, 3, 1, "", "setNoRepeatNgramSize"], [434, 3, 1, "", "setRepetitionPenalty"], [434, 3, 1, "", "setTemperature"], [434, 3, 1, "", "setTopK"], [434, 3, 1, "", "setTopP"], [434, 2, 1, "", "temperature"], [434, 2, 1, "", "topK"], [434, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.phi3_transformer": [[435, 1, 1, "", "Phi3Transformer"]], "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer": [[435, 2, 1, "", "configProtoBytes"], [435, 2, 1, "", "doSample"], [435, 2, 1, "", "ignoreTokenIds"], [435, 2, 1, "", "inputAnnotatorTypes"], [435, 3, 1, "", "loadSavedModel"], [435, 2, 1, "", "maxOutputLength"], [435, 2, 1, "", "minOutputLength"], [435, 2, 1, "", "name"], [435, 2, 1, "", "noRepeatNgramSize"], [435, 2, 1, "", "outputAnnotatorType"], [435, 3, 1, "", "pretrained"], [435, 2, 1, "", "repetitionPenalty"], [435, 3, 1, "", "setConfigProtoBytes"], [435, 3, 1, "", "setDoSample"], [435, 3, 1, "", "setIgnoreTokenIds"], [435, 3, 1, "", "setMaxOutputLength"], [435, 3, 1, "", "setMinOutputLength"], [435, 3, 1, "", "setNoRepeatNgramSize"], [435, 3, 1, "", "setRepetitionPenalty"], [435, 3, 1, "", "setTemperature"], [435, 3, 1, "", "setTopK"], [435, 3, 1, "", "setTopP"], [435, 2, 1, "", "temperature"], [435, 2, 1, "", "topK"], [435, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.phi4_transformer": [[436, 1, 1, "", "Phi4Transformer"]], "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer": [[436, 2, 1, "", "beamSize"], [436, 2, 1, "", "configProtoBytes"], [436, 2, 1, "", "doSample"], [436, 2, 1, "", "ignoreTokenIds"], [436, 2, 1, "", "inputAnnotatorTypes"], [436, 3, 1, "", "loadSavedModel"], [436, 2, 1, "", "maxOutputLength"], [436, 2, 1, "", "minOutputLength"], [436, 2, 1, "", "name"], [436, 2, 1, "", "noRepeatNgramSize"], [436, 2, 1, "", "outputAnnotatorType"], [436, 3, 1, "", "pretrained"], [436, 2, 1, "", "repetitionPenalty"], [436, 3, 1, "", "setBeamSize"], [436, 3, 1, "", "setConfigProtoBytes"], [436, 3, 1, "", "setDoSample"], [436, 3, 1, "", "setIgnoreTokenIds"], [436, 3, 1, "", "setMaxOutputLength"], [436, 3, 1, "", "setMinOutputLength"], [436, 3, 1, "", "setNoRepeatNgramSize"], [436, 3, 1, "", "setRepetitionPenalty"], [436, 3, 1, "", "setStopTokenIds"], [436, 3, 1, "", "setTemperature"], [436, 3, 1, "", "setTopK"], [436, 3, 1, "", "setTopP"], [436, 2, 1, "", "stopTokenIds"], [436, 2, 1, "", "temperature"], [436, 2, 1, "", "topK"], [436, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.qwen_transformer": [[437, 1, 1, "", "QwenTransformer"]], "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer": [[437, 2, 1, "", "configProtoBytes"], [437, 2, 1, "", "doSample"], [437, 2, 1, "", "ignoreTokenIds"], [437, 2, 1, "", "inputAnnotatorTypes"], [437, 3, 1, "", "loadSavedModel"], [437, 2, 1, "", "maxOutputLength"], [437, 2, 1, "", "minOutputLength"], [437, 2, 1, "", "name"], [437, 2, 1, "", "noRepeatNgramSize"], [437, 2, 1, "", "outputAnnotatorType"], [437, 3, 1, "", "pretrained"], [437, 2, 1, "", "repetitionPenalty"], [437, 3, 1, "", "setConfigProtoBytes"], [437, 3, 1, "", "setDoSample"], [437, 3, 1, "", "setIgnoreTokenIds"], [437, 3, 1, "", "setMaxOutputLength"], [437, 3, 1, "", "setMinOutputLength"], [437, 3, 1, "", "setNoRepeatNgramSize"], [437, 3, 1, "", "setRepetitionPenalty"], [437, 3, 1, "", "setTemperature"], [437, 3, 1, "", "setTopK"], [437, 3, 1, "", "setTopP"], [437, 2, 1, "", "temperature"], [437, 2, 1, "", "topK"], [437, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.starcoder_transformer": [[438, 1, 1, "", "StarCoderTransformer"]], "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer": [[438, 2, 1, "", "configProtoBytes"], [438, 2, 1, "", "doSample"], [438, 2, 1, "", "ignoreTokenIds"], [438, 2, 1, "", "inputAnnotatorTypes"], [438, 3, 1, "", "loadSavedModel"], [438, 2, 1, "", "maxOutputLength"], [438, 2, 1, "", "minOutputLength"], [438, 2, 1, "", "name"], [438, 2, 1, "", "noRepeatNgramSize"], [438, 2, 1, "", "outputAnnotatorType"], [438, 3, 1, "", "pretrained"], [438, 2, 1, "", "repetitionPenalty"], [438, 3, 1, "", "setConfigProtoBytes"], [438, 3, 1, "", "setDoSample"], [438, 3, 1, "", "setIgnoreTokenIds"], [438, 3, 1, "", "setMaxOutputLength"], [438, 3, 1, "", "setMinOutputLength"], [438, 3, 1, "", "setNoRepeatNgramSize"], [438, 3, 1, "", "setRepetitionPenalty"], [438, 3, 1, "", "setTemperature"], [438, 3, 1, "", "setTopK"], [438, 3, 1, "", "setTopP"], [438, 2, 1, "", "temperature"], [438, 2, 1, "", "topK"], [438, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.t5_transformer": [[439, 1, 1, "", "T5Transformer"]], "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer": [[439, 2, 1, "", "configProtoBytes"], [439, 2, 1, "", "doSample"], [439, 2, 1, "", "ignoreTokenIds"], [439, 2, 1, "", "inputAnnotatorTypes"], [439, 3, 1, "", "loadSavedModel"], [439, 2, 1, "", "maxNewTokens"], [439, 2, 1, "", "maxOutputLength"], [439, 2, 1, "", "minOutputLength"], [439, 2, 1, "", "name"], [439, 2, 1, "", "noRepeatNgramSize"], [439, 2, 1, "", "outputAnnotatorType"], [439, 3, 1, "", "pretrained"], [439, 2, 1, "", "repetitionPenalty"], [439, 3, 1, "", "setConfigProtoBytes"], [439, 3, 1, "", "setDoSample"], [439, 3, 1, "", "setIgnoreTokenIds"], [439, 3, 1, "", "setMaxNewTokens"], [439, 3, 1, "", "setMaxOutputLength"], [439, 3, 1, "", "setMinOutputLength"], [439, 3, 1, "", "setNoRepeatNgramSize"], [439, 3, 1, "", "setRepetitionPenalty"], [439, 3, 1, "", "setStopAtEos"], [439, 3, 1, "", "setTask"], [439, 3, 1, "", "setTemperature"], [439, 3, 1, "", "setTopK"], [439, 3, 1, "", "setTopP"], [439, 3, 1, "", "setUseCache"], [439, 2, 1, "", "stopAtEos"], [439, 2, 1, "", "task"], [439, 2, 1, "", "temperature"], [439, 2, 1, "", "topK"], [439, 2, 1, "", "topP"], [439, 2, 1, "", "useCache"]], "sparknlp.annotator.similarity": [[440, 0, 0, "-", "document_similarity_ranker"]], "sparknlp.annotator.similarity.document_similarity_ranker": [[440, 1, 1, "", "DocumentSimilarityRankerApproach"], [440, 1, 1, "", "DocumentSimilarityRankerFinisher"], [440, 1, 1, "", "DocumentSimilarityRankerModel"]], "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach": [[440, 2, 1, "", "aggregationMethod"], [440, 3, 1, "", "asRetriever"], [440, 2, 1, "", "asRetrieverQuery"], [440, 2, 1, "", "bucketLength"], [440, 2, 1, "", "identityRanking"], [440, 2, 1, "", "inputAnnotatorTypes"], [440, 2, 1, "", "numHashTables"], [440, 2, 1, "", "numberOfNeighbours"], [440, 2, 1, "", "outputAnnotatorType"], [440, 3, 1, "", "setAggregationMethod"], [440, 3, 1, "", "setBucketLength"], [440, 3, 1, "", "setIdentityRanking"], [440, 3, 1, "", "setNumHashTables"], [440, 3, 1, "", "setNumberOfNeighbours"], [440, 3, 1, "", "setSimilarityMethod"], [440, 3, 1, "", "setVisibleDistances"], [440, 2, 1, "", "similarityMethod"], [440, 2, 1, "", "visibleDistances"]], "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher": [[440, 2, 1, "", "extractNearestNeighbor"], [440, 3, 1, "", "getInputCols"], [440, 3, 1, "", "getOutputCols"], [440, 2, 1, "", "inputCols"], [440, 2, 1, "", "name"], [440, 2, 1, "", "outputCols"], [440, 3, 1, "", "setExtractNearestNeighbor"], [440, 3, 1, "", "setInputCols"], [440, 3, 1, "", "setOutputCols"], [440, 3, 1, "", "setParams"]], "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel": [[440, 2, 1, "", "inputAnnotatorTypes"], [440, 2, 1, "", "name"], [440, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.spell_check": [[442, 0, 0, "-", "context_spell_checker"], [444, 0, 0, "-", "norvig_sweeting"], [445, 0, 0, "-", "symmetric_delete"]], "sparknlp.annotator.spell_check.context_spell_checker": [[442, 1, 1, "", "ContextSpellCheckerApproach"], [442, 1, 1, "", "ContextSpellCheckerModel"]], "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach": [[442, 3, 1, "", "addRegexClass"], [442, 3, 1, "", "addVocabClass"], [442, 2, 1, "", "batchSize"], [442, 2, 1, "", "caseStrategy"], [442, 2, 1, "", "classCount"], [442, 2, 1, "", "compoundCount"], [442, 2, 1, "", "configProtoBytes"], [442, 2, 1, "", "epochs"], [442, 2, 1, "", "errorThreshold"], [442, 2, 1, "", "finalRate"], [442, 2, 1, "", "graphFolder"], [442, 2, 1, "", "initialRate"], [442, 2, 1, "", "inputAnnotatorTypes"], [442, 2, 1, "", "languageModelClasses"], [442, 2, 1, "", "maxCandidates"], [442, 2, 1, "", "maxSentLen"], [442, 2, 1, "", "maxWindowLen"], [442, 2, 1, "", "minCount"], [442, 2, 1, "", "name"], [442, 2, 1, "", "outputAnnotatorType"], [442, 3, 1, "", "setBatchSize"], [442, 3, 1, "", "setCaseStrategy"], [442, 3, 1, "", "setClassCount"], [442, 3, 1, "", "setCompoundCount"], [442, 3, 1, "", "setConfigProtoBytes"], [442, 3, 1, "", "setEpochs"], [442, 3, 1, "", "setErrorThreshold"], [442, 3, 1, "", "setFinalRate"], [442, 3, 1, "", "setGraphFolder"], [442, 3, 1, "", "setInitialRate"], [442, 3, 1, "", "setLanguageModelClasses"], [442, 3, 1, "", "setMaxCandidates"], [442, 3, 1, "", "setMaxSentLen"], [442, 3, 1, "", "setMaxWindowLen"], [442, 3, 1, "", "setMinCount"], [442, 3, 1, "", "setTradeoff"], [442, 3, 1, "", "setValidationFraction"], [442, 3, 1, "", "setWeightedDistPath"], [442, 3, 1, "", "setWordMaxDistance"], [442, 2, 1, "", "tradeoff"], [442, 2, 1, "", "validationFraction"], [442, 2, 1, "", "weightedDistPath"], [442, 2, 1, "", "wordMaxDistance"]], "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel": [[442, 2, 1, "", "caseStrategy"], [442, 2, 1, "", "classes"], [442, 2, 1, "", "compareLowcase"], [442, 2, 1, "", "configProtoBytes"], [442, 2, 1, "", "correctSymbols"], [442, 2, 1, "", "errorThreshold"], [442, 2, 1, "", "gamma"], [442, 3, 1, "", "getWordClasses"], [442, 2, 1, "", "idsVocab"], [442, 2, 1, "", "inputAnnotatorTypes"], [442, 2, 1, "", "maxCandidates"], [442, 2, 1, "", "maxWindowLen"], [442, 2, 1, "", "name"], [442, 2, 1, "", "outputAnnotatorType"], [442, 3, 1, "", "pretrained"], [442, 3, 1, "", "setCaseStrategy"], [442, 3, 1, "", "setClasses"], [442, 3, 1, "", "setCompareLowcase"], [442, 3, 1, "", "setConfigProtoBytes"], [442, 3, 1, "", "setCorrectSymbols"], [442, 3, 1, "", "setErrorThreshold"], [442, 3, 1, "", "setGamma"], [442, 3, 1, "", "setIdsVocab"], [442, 3, 1, "", "setMaxCandidates"], [442, 3, 1, "", "setMaxWindowLen"], [442, 3, 1, "", "setTradeoff"], [442, 3, 1, "", "setVocabFreq"], [442, 3, 1, "", "setVocabIds"], [442, 3, 1, "", "setWeights"], [442, 3, 1, "", "setWordMaxDistance"], [442, 2, 1, "", "tradeoff"], [442, 3, 1, "", "updateRegexClass"], [442, 3, 1, "", "updateVocabClass"], [442, 2, 1, "", "vocabFreq"], [442, 2, 1, "", "vocabIds"], [442, 2, 1, "", "wordMaxDistance"]], "sparknlp.annotator.spell_check.norvig_sweeting": [[444, 1, 1, "", "NorvigSweetingApproach"], [444, 1, 1, "", "NorvigSweetingModel"]], "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach": [[444, 2, 1, "", "caseSensitive"], [444, 2, 1, "", "dictionary"], [444, 2, 1, "", "dictionary_path"], [444, 2, 1, "", "doubleVariants"], [444, 2, 1, "", "dupsLimit"], [444, 2, 1, "", "frequencyPriority"], [444, 2, 1, "", "inputAnnotatorTypes"], [444, 2, 1, "", "intersections"], [444, 2, 1, "", "outputAnnotatorType"], [444, 2, 1, "", "reductLimit"], [444, 3, 1, "", "setCaseSensitive"], [444, 3, 1, "", "setDictionary"], [444, 3, 1, "", "setDoubleVariants"], [444, 3, 1, "", "setFrequencyPriority"], [444, 3, 1, "", "setShortCircuit"], [444, 2, 1, "", "shortCircuit"], [444, 2, 1, "", "vowelSwapLimit"], [444, 2, 1, "", "wordSizeIgnore"]], "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel": [[444, 2, 1, "", "inputAnnotatorTypes"], [444, 2, 1, "", "name"], [444, 2, 1, "", "outputAnnotatorType"], [444, 3, 1, "", "pretrained"]], "sparknlp.annotator.spell_check.symmetric_delete": [[445, 1, 1, "", "SymmetricDeleteApproach"], [445, 1, 1, "", "SymmetricDeleteModel"]], "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach": [[445, 2, 1, "", "corpus"], [445, 2, 1, "", "deletesThreshold"], [445, 2, 1, "", "dictionary"], [445, 2, 1, "", "dictionary_path"], [445, 2, 1, "", "dupsLimit"], [445, 2, 1, "", "frequencyThreshold"], [445, 2, 1, "", "inputAnnotatorTypes"], [445, 2, 1, "", "maxEditDistance"], [445, 2, 1, "", "outputAnnotatorType"], [445, 3, 1, "", "setDeletesThreshold"], [445, 3, 1, "", "setDictionary"], [445, 3, 1, "", "setFrequencyThreshold"], [445, 3, 1, "", "setMaxEditDistance"]], "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel": [[445, 2, 1, "", "inputAnnotatorTypes"], [445, 2, 1, "", "name"], [445, 2, 1, "", "outputAnnotatorType"], [445, 3, 1, "", "pretrained"]], "sparknlp.annotator.stemmer": [[446, 1, 1, "", "Stemmer"]], "sparknlp.annotator.stemmer.Stemmer": [[446, 2, 1, "", "inputAnnotatorTypes"], [446, 2, 1, "", "language"], [446, 2, 1, "", "name"], [446, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.stop_words_cleaner": [[447, 1, 1, "", "StopWordsCleaner"]], "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner": [[447, 2, 1, "", "caseSensitive"], [447, 2, 1, "", "inputAnnotatorTypes"], [447, 3, 1, "", "loadDefaultStopWords"], [447, 2, 1, "", "locale"], [447, 2, 1, "", "name"], [447, 2, 1, "", "outputAnnotatorType"], [447, 3, 1, "", "pretrained"], [447, 3, 1, "", "setCaseSensitive"], [447, 3, 1, "", "setLocale"], [447, 3, 1, "", "setStopWords"], [447, 2, 1, "", "stopWords"]], "sparknlp.annotator.tf_ner_dl_graph_builder": [[448, 1, 1, "", "TFNerDLGraphBuilder"], [448, 1, 1, "", "TFNerDLGraphBuilderModel"]], "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder": [[448, 3, 1, "", "getGraphFile"], [448, 3, 1, "", "getGraphFolder"], [448, 3, 1, "", "getHiddenUnitsNumber"], [448, 3, 1, "", "getInputCols"], [448, 3, 1, "", "getLabelColumn"], [448, 2, 1, "", "graphFile"], [448, 2, 1, "", "graphFolder"], [448, 2, 1, "", "hiddenUnitsNumber"], [448, 2, 1, "", "inputAnnotatorTypes"], [448, 2, 1, "", "inputCols"], [448, 3, 1, "", "inputColsValidation"], [448, 2, 1, "", "labelColumn"], [448, 3, 1, "", "setGraphFile"], [448, 3, 1, "", "setGraphFolder"], [448, 3, 1, "", "setHiddenUnitsNumber"], [448, 3, 1, "", "setInputCols"], [448, 3, 1, "", "setLabelColumn"]], "sparknlp.annotator.token": [[449, 0, 0, "-", "chunk_tokenizer"], [451, 0, 0, "-", "recursive_tokenizer"], [452, 0, 0, "-", "regex_tokenizer"], [453, 0, 0, "-", "tokenizer"]], "sparknlp.annotator.token.chunk_tokenizer": [[449, 1, 1, "", "ChunkTokenizer"], [449, 1, 1, "", "ChunkTokenizerModel"]], "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer": [[449, 2, 1, "", "inputAnnotatorTypes"], [449, 2, 1, "", "name"]], "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel": [[449, 2, 1, "", "inputAnnotatorTypes"], [449, 2, 1, "", "name"]], "sparknlp.annotator.token.recursive_tokenizer": [[451, 1, 1, "", "RecursiveTokenizer"], [451, 1, 1, "", "RecursiveTokenizerModel"]], "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer": [[451, 2, 1, "", "infixes"], [451, 2, 1, "", "inputAnnotatorTypes"], [451, 2, 1, "", "name"], [451, 2, 1, "", "outputAnnotatorType"], [451, 2, 1, "", "prefixes"], [451, 3, 1, "", "setInfixes"], [451, 3, 1, "", "setPrefixes"], [451, 3, 1, "", "setSuffixes"], [451, 3, 1, "", "setWhitelist"], [451, 2, 1, "", "suffixes"], [451, 2, 1, "", "whitelist"]], "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel": [[451, 2, 1, "", "inputAnnotatorTypes"], [451, 2, 1, "", "name"], [451, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.token.regex_tokenizer": [[452, 1, 1, "", "RegexTokenizer"]], "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer": [[452, 2, 1, "", "inputAnnotatorTypes"], [452, 2, 1, "", "maxLength"], [452, 2, 1, "", "minLength"], [452, 2, 1, "", "name"], [452, 2, 1, "", "outputAnnotatorType"], [452, 2, 1, "", "pattern"], [452, 2, 1, "", "positionalMask"], [452, 2, 1, "", "preservePosition"], [452, 3, 1, "", "setMaxLength"], [452, 3, 1, "", "setMinLength"], [452, 3, 1, "", "setPattern"], [452, 3, 1, "", "setPositionalMask"], [452, 3, 1, "", "setPreservePosition"], [452, 3, 1, "", "setToLowercase"], [452, 3, 1, "", "setTrimWhitespace"], [452, 2, 1, "", "toLowercase"], [452, 2, 1, "", "trimWhitespace"]], "sparknlp.annotator.token.tokenizer": [[453, 1, 1, "", "Tokenizer"], [453, 1, 1, "", "TokenizerModel"]], "sparknlp.annotator.token.tokenizer.Tokenizer": [[453, 3, 1, "", "addContextChars"], [453, 3, 1, "", "addException"], [453, 3, 1, "", "addInfixPattern"], [453, 3, 1, "", "addSplitChars"], [453, 2, 1, "", "caseSensitiveExceptions"], [453, 2, 1, "", "contextChars"], [453, 2, 1, "", "exceptions"], [453, 2, 1, "", "exceptionsPath"], [453, 3, 1, "", "getCaseSensitiveExceptions"], [453, 3, 1, "", "getContextChars"], [453, 3, 1, "", "getExceptions"], [453, 3, 1, "", "getInfixPatterns"], [453, 3, 1, "", "getPrefixPattern"], [453, 3, 1, "", "getSplitChars"], [453, 3, 1, "", "getSuffixPattern"], [453, 2, 1, "", "infixPatterns"], [453, 2, 1, "", "inputAnnotatorTypes"], [453, 2, 1, "", "maxLength"], [453, 2, 1, "", "minLength"], [453, 2, 1, "", "name"], [453, 2, 1, "", "outputAnnotatorType"], [453, 2, 1, "", "prefixPattern"], [453, 3, 1, "", "setCaseSensitiveExceptions"], [453, 3, 1, "", "setContextChars"], [453, 3, 1, "", "setExceptions"], [453, 3, 1, "", "setExceptionsPath"], [453, 3, 1, "", "setInfixPatterns"], [453, 3, 1, "", "setMaxLength"], [453, 3, 1, "", "setMinLength"], [453, 3, 1, "", "setPrefixPattern"], [453, 3, 1, "", "setSplitChars"], [453, 3, 1, "", "setSplitPattern"], [453, 3, 1, "", "setSuffixPattern"], [453, 3, 1, "", "setTargetPattern"], [453, 2, 1, "", "splitChars"], [453, 2, 1, "", "splitPattern"], [453, 2, 1, "", "suffixPattern"], [453, 2, 1, "", "targetPattern"]], "sparknlp.annotator.token.tokenizer.TokenizerModel": [[453, 3, 1, "", "addSplitChars"], [453, 2, 1, "", "caseSensitiveExceptions"], [453, 2, 1, "", "exceptions"], [453, 2, 1, "", "inputAnnotatorTypes"], [453, 2, 1, "", "name"], [453, 2, 1, "", "outputAnnotatorType"], [453, 3, 1, "", "pretrained"], [453, 2, 1, "", "rules"], [453, 3, 1, "", "setSplitChars"], [453, 3, 1, "", "setSplitPattern"], [453, 2, 1, "", "splitChars"], [453, 2, 1, "", "splitPattern"], [453, 2, 1, "", "targetPattern"]], "sparknlp.annotator.token2_chunk": [[454, 1, 1, "", "Token2Chunk"]], "sparknlp.annotator.token2_chunk.Token2Chunk": [[454, 2, 1, "", "inputAnnotatorTypes"], [454, 2, 1, "", "name"], [454, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.ws": [[456, 0, 0, "-", "word_segmenter"]], "sparknlp.annotator.ws.word_segmenter": [[456, 1, 1, "", "WordSegmenterApproach"], [456, 1, 1, "", "WordSegmenterModel"]], "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach": [[456, 2, 1, "", "ambiguityThreshold"], [456, 2, 1, "", "enableRegexTokenizer"], [456, 2, 1, "", "frequencyThreshold"], [456, 3, 1, "", "getAmbiguityThreshold"], [456, 3, 1, "", "getFrequencyThreshold"], [456, 3, 1, "", "getNIterations"], [456, 2, 1, "", "inputAnnotatorTypes"], [456, 2, 1, "", "nIterations"], [456, 2, 1, "", "name"], [456, 2, 1, "", "outputAnnotatorType"], [456, 2, 1, "", "pattern"], [456, 2, 1, "", "posCol"], [456, 3, 1, "", "setAmbiguityThreshold"], [456, 3, 1, "", "setEnableRegexTokenizer"], [456, 3, 1, "", "setFrequencyThreshold"], [456, 3, 1, "", "setNIterations"], [456, 3, 1, "", "setPattern"], [456, 3, 1, "", "setPosColumn"], [456, 3, 1, "", "setToLowercase"], [456, 2, 1, "", "toLowercase"]], "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel": [[456, 2, 1, "", "enableRegexTokenizer"], [456, 2, 1, "", "inputAnnotatorTypes"], [456, 2, 1, "", "name"], [456, 2, 1, "", "outputAnnotatorType"], [456, 2, 1, "", "pattern"], [456, 3, 1, "", "pretrained"], [456, 3, 1, "", "setEnableRegexTokenizer"], [456, 3, 1, "", "setPattern"], [456, 3, 1, "", "setToLowercase"], [456, 2, 1, "", "toLowercase"]], "sparknlp.base": [[457, 0, 0, "-", "audio_assembler"], [458, 0, 0, "-", "doc2_chunk"], [459, 0, 0, "-", "document_assembler"], [460, 0, 0, "-", "embeddings_finisher"], [461, 0, 0, "-", "finisher"], [462, 0, 0, "-", "gguf_ranking_finisher"], [463, 0, 0, "-", "graph_finisher"], [464, 0, 0, "-", "has_recursive_fit"], [465, 0, 0, "-", "has_recursive_transform"], [466, 0, 0, "-", "image_assembler"], [468, 0, 0, "-", "light_pipeline"], [469, 0, 0, "-", "multi_document_assembler"], [470, 0, 0, "-", "prompt_assembler"], [471, 0, 0, "-", "recursive_pipeline"], [472, 0, 0, "-", "table_assembler"], [473, 0, 0, "-", "token_assembler"]], "sparknlp.base.audio_assembler": [[457, 1, 1, "", "AudioAssembler"]], "sparknlp.base.audio_assembler.AudioAssembler": [[457, 3, 1, "", "getOutputCol"], [457, 2, 1, "", "inputCol"], [457, 2, 1, "", "name"], [457, 2, 1, "", "outputAnnotatorType"], [457, 2, 1, "", "outputCol"], [457, 3, 1, "", "setInputCol"], [457, 3, 1, "", "setOutputCol"], [457, 3, 1, "", "setParams"]], "sparknlp.base.doc2_chunk": [[458, 1, 1, "", "Doc2Chunk"]], "sparknlp.base.doc2_chunk.Doc2Chunk": [[458, 2, 1, "", "chunkCol"], [458, 2, 1, "", "failOnMissing"], [458, 2, 1, "", "inputAnnotatorTypes"], [458, 2, 1, "", "isArray"], [458, 2, 1, "", "lowerCase"], [458, 2, 1, "", "name"], [458, 2, 1, "", "outputAnnotatorType"], [458, 3, 1, "", "setChunkCol"], [458, 3, 1, "", "setFailOnMissing"], [458, 3, 1, "", "setIsArray"], [458, 3, 1, "", "setLowerCase"], [458, 3, 1, "", "setParams"], [458, 3, 1, "", "setStartCol"], [458, 3, 1, "", "setStartColByTokenIndex"], [458, 2, 1, "", "startCol"], [458, 2, 1, "", "startColByTokenIndex"]], "sparknlp.base.document_assembler": [[459, 1, 1, "", "DocumentAssembler"]], "sparknlp.base.document_assembler.DocumentAssembler": [[459, 2, 1, "", "cleanupMode"], [459, 3, 1, "", "getOutputCol"], [459, 2, 1, "", "idCol"], [459, 2, 1, "", "inputCol"], [459, 2, 1, "", "metadataCol"], [459, 2, 1, "", "name"], [459, 2, 1, "", "outputAnnotatorType"], [459, 2, 1, "", "outputCol"], [459, 3, 1, "", "setCleanupMode"], [459, 3, 1, "", "setIdCol"], [459, 3, 1, "", "setInputCol"], [459, 3, 1, "", "setMetadataCol"], [459, 3, 1, "", "setOutputCol"], [459, 3, 1, "", "setParams"]], "sparknlp.base.embeddings_finisher": [[460, 1, 1, "", "EmbeddingsFinisher"]], "sparknlp.base.embeddings_finisher.EmbeddingsFinisher": [[460, 2, 1, "", "cleanAnnotations"], [460, 3, 1, "", "getInputCols"], [460, 3, 1, "", "getOutputCols"], [460, 2, 1, "", "inputCols"], [460, 2, 1, "", "name"], [460, 2, 1, "", "outputAsVector"], [460, 2, 1, "", "outputCols"], [460, 3, 1, "", "setCleanAnnotations"], [460, 3, 1, "", "setInputCols"], [460, 3, 1, "", "setOutputAsVector"], [460, 3, 1, "", "setOutputCols"], [460, 3, 1, "", "setParams"]], "sparknlp.base.finisher": [[461, 1, 1, "", "Finisher"]], "sparknlp.base.finisher.Finisher": [[461, 2, 1, "", "annotationSplitSymbol"], [461, 2, 1, "", "cleanAnnotations"], [461, 3, 1, "", "getInputCols"], [461, 3, 1, "", "getOutputCols"], [461, 2, 1, "", "includeMetadata"], [461, 2, 1, "", "inputCols"], [461, 2, 1, "", "name"], [461, 2, 1, "", "outputAsArray"], [461, 2, 1, "", "outputCols"], [461, 2, 1, "", "parseEmbeddingsVectors"], [461, 3, 1, "", "setAnnotationSplitSymbol"], [461, 3, 1, "", "setCleanAnnotations"], [461, 3, 1, "", "setIncludeMetadata"], [461, 3, 1, "", "setInputCols"], [461, 3, 1, "", "setOutputAsArray"], [461, 3, 1, "", "setOutputCols"], [461, 3, 1, "", "setParams"], [461, 3, 1, "", "setParseEmbeddingsVectors"], [461, 3, 1, "", "setValueSplitSymbol"], [461, 2, 1, "", "valueSplitSymbol"]], "sparknlp.base.gguf_ranking_finisher": [[462, 1, 1, "", "GGUFRankingFinisher"]], "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher": [[462, 3, 1, "", "getInputCols"], [462, 3, 1, "", "getMinMaxScaling"], [462, 3, 1, "", "getMinRelevanceScore"], [462, 3, 1, "", "getOutputCol"], [462, 3, 1, "", "getTopK"], [462, 2, 1, "", "inputCols"], [462, 2, 1, "", "minMaxScaling"], [462, 2, 1, "", "minRelevanceScore"], [462, 2, 1, "", "name"], [462, 2, 1, "", "outputCol"], [462, 3, 1, "", "setInputCols"], [462, 3, 1, "", "setMinMaxScaling"], [462, 3, 1, "", "setMinRelevanceScore"], [462, 3, 1, "", "setOutputCol"], [462, 3, 1, "", "setParams"], [462, 3, 1, "", "setTopK"], [462, 2, 1, "", "topK"]], "sparknlp.base.graph_finisher": [[463, 1, 1, "", "GraphFinisher"]], "sparknlp.base.graph_finisher.GraphFinisher": [[463, 2, 1, "", "cleanAnnotations"], [463, 2, 1, "", "inputCol"], [463, 2, 1, "", "name"], [463, 2, 1, "", "outputAsArray"], [463, 2, 1, "", "outputCol"], [463, 3, 1, "", "setCleanAnnotations"], [463, 3, 1, "", "setInputCol"], [463, 3, 1, "", "setOutputAsArray"], [463, 3, 1, "", "setOutputCol"], [463, 3, 1, "", "setParams"]], "sparknlp.base.has_recursive_fit": [[464, 1, 1, "", "HasRecursiveFit"]], "sparknlp.base.has_recursive_transform": [[465, 1, 1, "", "HasRecursiveTransform"]], "sparknlp.base.image_assembler": [[466, 1, 1, "", "ImageAssembler"]], "sparknlp.base.image_assembler.ImageAssembler": [[466, 3, 1, "", "getOutputCol"], [466, 2, 1, "", "inputCol"], [466, 3, 1, "", "loadImagesAsBytes"], [466, 2, 1, "", "name"], [466, 2, 1, "", "outputAnnotatorType"], [466, 2, 1, "", "outputCol"], [466, 3, 1, "", "setInputCol"], [466, 3, 1, "", "setOutputCol"], [466, 3, 1, "", "setParams"], [466, 3, 1, "", "setTextCol"], [466, 2, 1, "", "textCol"]], "sparknlp.base.light_pipeline": [[468, 1, 1, "", "LightPipeline"]], "sparknlp.base.light_pipeline.LightPipeline": [[468, 3, 1, "", "annotate"], [468, 3, 1, "", "fullAnnotate"], [468, 3, 1, "", "fullAnnotateImage"], [468, 3, 1, "", "getIgnoreUnsupported"], [468, 2, 1, "", "parse_embeddings"], [468, 2, 1, "", "pipeline_model"], [468, 3, 1, "", "setIgnoreUnsupported"], [468, 3, 1, "", "transform"]], "sparknlp.base.multi_document_assembler": [[469, 1, 1, "", "MultiDocumentAssembler"]], "sparknlp.base.multi_document_assembler.MultiDocumentAssembler": [[469, 2, 1, "", "cleanupMode"], [469, 3, 1, "", "getOutputCols"], [469, 2, 1, "", "idCol"], [469, 2, 1, "", "inputCols"], [469, 2, 1, "", "metadataCol"], [469, 2, 1, "", "name"], [469, 2, 1, "", "outputAnnotatorType"], [469, 2, 1, "", "outputCols"], [469, 3, 1, "", "setCleanupMode"], [469, 3, 1, "", "setIdCol"], [469, 3, 1, "", "setInputCols"], [469, 3, 1, "", "setMetadataCol"], [469, 3, 1, "", "setOutputCols"], [469, 3, 1, "", "setParams"]], "sparknlp.base.prompt_assembler": [[470, 1, 1, "", "PromptAssembler"]], "sparknlp.base.prompt_assembler.PromptAssembler": [[470, 2, 1, "", "addAssistant"], [470, 2, 1, "", "chatTemplate"], [470, 2, 1, "", "inputCol"], [470, 2, 1, "", "name"], [470, 2, 1, "", "outputAnnotatorType"], [470, 2, 1, "", "outputCol"], [470, 3, 1, "", "setAddAssistant"], [470, 3, 1, "", "setChatTemplate"], [470, 3, 1, "", "setInputCol"], [470, 3, 1, "", "setOutputCol"], [470, 3, 1, "", "setParams"]], "sparknlp.base.recursive_pipeline": [[471, 1, 1, "", "RecursivePipeline"], [471, 1, 1, "", "RecursivePipelineModel"]], "sparknlp.base.recursive_pipeline.RecursivePipelineModel": [[471, 2, 1, "", "stages"]], "sparknlp.base.table_assembler": [[472, 1, 1, "", "TableAssembler"]], "sparknlp.base.table_assembler.TableAssembler": [[472, 2, 1, "", "csvDelimiter"], [472, 2, 1, "", "escapeCsvDelimiter"], [472, 2, 1, "", "inputAnnotatorTypes"], [472, 2, 1, "", "inputFormat"], [472, 2, 1, "", "name"], [472, 2, 1, "", "outputAnnotatorType"], [472, 3, 1, "", "setCsvDelimiter"], [472, 3, 1, "", "setEscapeCsvDelimiter"], [472, 3, 1, "", "setInputFormat"]], "sparknlp.base.token_assembler": [[473, 1, 1, "", "TokenAssembler"]], "sparknlp.base.token_assembler.TokenAssembler": [[473, 2, 1, "", "inputAnnotatorTypes"], [473, 2, 1, "", "name"], [473, 2, 1, "", "outputAnnotatorType"], [473, 2, 1, "", "preservePosition"], [473, 3, 1, "", "setParams"], [473, 3, 1, "", "setPreservePosition"]], "sparknlp.common": [[474, 0, 0, "-", "annotator_approach"], [475, 0, 0, "-", "annotator_model"], [476, 0, 0, "-", "annotator_properties"], [477, 0, 0, "-", "annotator_type"], [478, 0, 0, "-", "coverage_result"], [480, 0, 0, "-", "match_strategy"], [481, 0, 0, "-", "properties"], [482, 0, 0, "-", "read_as"], [483, 0, 0, "-", "recursive_annotator_approach"], [484, 0, 0, "-", "storage"], [485, 0, 0, "-", "utils"]], "sparknlp.common.annotator_approach": [[474, 1, 1, "", "AnnotatorApproach"]], "sparknlp.common.annotator_model": [[475, 1, 1, "", "AnnotatorModel"]], "sparknlp.common.annotator_model.AnnotatorModel": [[475, 3, 1, "", "setParams"]], "sparknlp.common.annotator_properties": [[476, 1, 1, "", "AnnotatorProperties"]], "sparknlp.common.annotator_properties.AnnotatorProperties": [[476, 3, 1, "", "getInputCols"], [476, 3, 1, "", "getLazyAnnotator"], [476, 3, 1, "", "getOutputCol"], [476, 2, 1, "", "inputAnnotatorTypes"], [476, 2, 1, "", "inputCols"], [476, 3, 1, "", "inputColsValidation"], [476, 2, 1, "", "lazyAnnotator"], [476, 2, 1, "", "optionalInputAnnotatorTypes"], [476, 2, 1, "", "outputAnnotatorType"], [476, 2, 1, "", "outputCol"], [476, 3, 1, "", "setInputCols"], [476, 3, 1, "", "setLazyAnnotator"], [476, 3, 1, "", "setOutputCol"]], "sparknlp.common.annotator_type": [[477, 1, 1, "", "AnnotatorType"]], "sparknlp.common.annotator_type.AnnotatorType": [[477, 2, 1, "", "AUDIO"], [477, 2, 1, "", "CATEGORY"], [477, 2, 1, "", "CHUNK"], [477, 2, 1, "", "DATE"], [477, 2, 1, "", "DEPENDENCY"], [477, 2, 1, "", "DOCUMENT"], [477, 2, 1, "", "DOC_SIMILARITY_RANKINGS"], [477, 2, 1, "", "DUMMY"], [477, 2, 1, "", "ENTITY"], [477, 2, 1, "", "IMAGE"], [477, 2, 1, "", "LABELED_DEPENDENCY"], [477, 2, 1, "", "LANGUAGE"], [477, 2, 1, "", "NAMED_ENTITY"], [477, 2, 1, "", "NEGEX"], [477, 2, 1, "", "NODE"], [477, 2, 1, "", "POS"], [477, 2, 1, "", "SENTENCE_EMBEDDINGS"], [477, 2, 1, "", "SENTIMENT"], [477, 2, 1, "", "TABLE"], [477, 2, 1, "", "TOKEN"], [477, 2, 1, "", "WORDPIECE"], [477, 2, 1, "", "WORD_EMBEDDINGS"]], "sparknlp.common.coverage_result": [[478, 1, 1, "", "CoverageResult"]], "sparknlp.common.coverage_result.CoverageResult": [[478, 2, 1, "", "covered"], [478, 2, 1, "", "percentage"], [478, 2, 1, "", "total"]], "sparknlp.common.match_strategy": [[480, 1, 1, "", "MatchStrategy"]], "sparknlp.common.match_strategy.MatchStrategy": [[480, 2, 1, "", "MATCH_ALL"], [480, 2, 1, "", "MATCH_COMPLETE"], [480, 2, 1, "", "MATCH_FIRST"]], "sparknlp.common.properties": [[481, 1, 1, "", "HasAudioFeatureProperties"], [481, 1, 1, "", "HasBatchedAnnotate"], [481, 1, 1, "", "HasBatchedAnnotateAudio"], [481, 1, 1, "", "HasBatchedAnnotateImage"], [481, 1, 1, "", "HasCandidateLabelsProperties"], [481, 1, 1, "", "HasCaseSensitiveProperties"], [481, 1, 1, "", "HasClassifierActivationProperties"], [481, 1, 1, "", "HasClsTokenProperties"], [481, 1, 1, "", "HasEmbeddingsProperties"], [481, 1, 1, "", "HasEnableCachingProperties"], [481, 1, 1, "", "HasEngine"], [481, 1, 1, "", "HasGeneratorProperties"], [481, 1, 1, "", "HasImageFeatureProperties"], [481, 1, 1, "", "HasLlamaCppProperties"], [481, 1, 1, "", "HasLongMaxSentenceLengthLimit"], [481, 1, 1, "", "HasMaxSentenceLengthLimit"], [481, 1, 1, "", "HasRescaleFactor"]], "sparknlp.common.properties.HasAudioFeatureProperties": [[481, 2, 1, "", "doNormalize"], [481, 2, 1, "", "featureSize"], [481, 2, 1, "", "paddingSide"], [481, 2, 1, "", "paddingValue"], [481, 2, 1, "", "returnAttentionMask"], [481, 2, 1, "", "samplingRate"], [481, 3, 1, "", "setDoNormalize"], [481, 3, 1, "", "setFeatureSize"], [481, 3, 1, "", "setPaddingSide"], [481, 3, 1, "", "setPaddingValue"], [481, 3, 1, "", "setReturnAttentionMask"], [481, 3, 1, "", "setSamplingRate"]], "sparknlp.common.properties.HasBatchedAnnotate": [[481, 2, 1, "", "batchSize"], [481, 3, 1, "", "getBatchSize"], [481, 3, 1, "", "setBatchSize"]], "sparknlp.common.properties.HasBatchedAnnotateAudio": [[481, 2, 1, "", "batchSize"], [481, 3, 1, "", "getBatchSize"], [481, 3, 1, "", "setBatchSize"]], "sparknlp.common.properties.HasBatchedAnnotateImage": [[481, 2, 1, "", "batchSize"], [481, 3, 1, "", "getBatchSize"], [481, 3, 1, "", "setBatchSize"]], "sparknlp.common.properties.HasCandidateLabelsProperties": [[481, 2, 1, "", "candidateLabels"], [481, 2, 1, "", "contradictionIdParam"], [481, 2, 1, "", "entailmentIdParam"], [481, 3, 1, "", "setCandidateLabels"], [481, 3, 1, "", "setContradictionIdParam"], [481, 3, 1, "", "setEntailmentIdParam"]], "sparknlp.common.properties.HasCaseSensitiveProperties": [[481, 2, 1, "", "caseSensitive"], [481, 3, 1, "", "getCaseSensitive"], [481, 3, 1, "", "setCaseSensitive"]], "sparknlp.common.properties.HasClassifierActivationProperties": [[481, 2, 1, "", "activation"], [481, 3, 1, "", "getActivation"], [481, 3, 1, "", "getMultilabel"], [481, 2, 1, "", "multilabel"], [481, 3, 1, "", "setActivation"], [481, 3, 1, "", "setMultilabel"], [481, 3, 1, "", "setThreshold"], [481, 2, 1, "", "threshold"]], "sparknlp.common.properties.HasClsTokenProperties": [[481, 3, 1, "", "getUseCLSToken"], [481, 3, 1, "", "setUseCLSToken"], [481, 2, 1, "", "useCLSToken"]], "sparknlp.common.properties.HasEmbeddingsProperties": [[481, 2, 1, "", "dimension"], [481, 3, 1, "", "getDimension"], [481, 3, 1, "", "setDimension"]], "sparknlp.common.properties.HasEnableCachingProperties": [[481, 2, 1, "", "enableCaching"], [481, 3, 1, "", "getEnableCaching"], [481, 3, 1, "", "setEnableCaching"]], "sparknlp.common.properties.HasEngine": [[481, 2, 1, "", "engine"], [481, 3, 1, "", "getEngine"]], "sparknlp.common.properties.HasGeneratorProperties": [[481, 2, 1, "", "beamSize"], [481, 2, 1, "", "doSample"], [481, 2, 1, "", "maxOutputLength"], [481, 2, 1, "", "minOutputLength"], [481, 2, 1, "", "nReturnSequences"], [481, 2, 1, "", "noRepeatNgramSize"], [481, 2, 1, "", "repetitionPenalty"], [481, 3, 1, "", "setBeamSize"], [481, 3, 1, "", "setDoSample"], [481, 3, 1, "", "setMaxOutputLength"], [481, 3, 1, "", "setMinOutputLength"], [481, 3, 1, "", "setNReturnSequences"], [481, 3, 1, "", "setNoRepeatNgramSize"], [481, 3, 1, "", "setRepetitionPenalty"], [481, 3, 1, "", "setTask"], [481, 3, 1, "", "setTemperature"], [481, 3, 1, "", "setTopK"], [481, 3, 1, "", "setTopP"], [481, 2, 1, "", "task"], [481, 2, 1, "", "temperature"], [481, 2, 1, "", "topK"], [481, 2, 1, "", "topP"]], "sparknlp.common.properties.HasImageFeatureProperties": [[481, 2, 1, "", "doNormalize"], [481, 2, 1, "", "doResize"], [481, 2, 1, "", "featureExtractorType"], [481, 2, 1, "", "imageMean"], [481, 2, 1, "", "imageStd"], [481, 2, 1, "", "resample"], [481, 3, 1, "", "setDoNormalize"], [481, 3, 1, "", "setDoResize"], [481, 3, 1, "", "setFeatureExtractorType"], [481, 3, 1, "", "setImageMean"], [481, 3, 1, "", "setImageStd"], [481, 3, 1, "", "setResample"], [481, 3, 1, "", "setSize"], [481, 2, 1, "", "size"]], "sparknlp.common.properties.HasLlamaCppProperties": [[481, 2, 1, "", "cachePrompt"], [481, 2, 1, "", "chatTemplate"], [481, 2, 1, "", "defragmentationThreshold"], [481, 2, 1, "", "disableLog"], [481, 2, 1, "", "disableTokenIds"], [481, 2, 1, "", "dynamicTemperatureExponent"], [481, 2, 1, "", "dynamicTemperatureRange"], [481, 2, 1, "", "embedding"], [481, 2, 1, "", "flashAttention"], [481, 2, 1, "", "frequencyPenalty"], [481, 3, 1, "", "getMetadata"], [481, 2, 1, "", "gpuSplitMode"], [481, 2, 1, "", "grammar"], [481, 2, 1, "", "ignoreEos"], [481, 2, 1, "", "inputPrefix"], [481, 2, 1, "", "inputSuffix"], [481, 2, 1, "", "logVerbosity"], [481, 2, 1, "", "mainGpu"], [481, 2, 1, "", "minKeep"], [481, 2, 1, "", "minP"], [481, 2, 1, "", "miroStat"], [481, 2, 1, "", "miroStatEta"], [481, 2, 1, "", "miroStatTau"], [481, 2, 1, "", "modelAlias"], [481, 2, 1, "", "modelDraft"], [481, 2, 1, "", "nBatch"], [481, 2, 1, "", "nCtx"], [481, 2, 1, "", "nDraft"], [481, 2, 1, "", "nGpuLayers"], [481, 2, 1, "", "nGpuLayersDraft"], [481, 2, 1, "", "nKeep"], [481, 2, 1, "", "nPredict"], [481, 2, 1, "", "nProbs"], [481, 2, 1, "", "nThreads"], [481, 2, 1, "", "nThreadsBatch"], [481, 2, 1, "", "nUbatch"], [481, 2, 1, "", "noKvOffload"], [481, 2, 1, "", "numaStrategy"], [481, 2, 1, "", "penalizeNl"], [481, 2, 1, "", "penaltyPrompt"], [481, 2, 1, "", "poolingType"], [481, 2, 1, "", "presencePenalty"], [481, 2, 1, "", "repeatLastN"], [481, 2, 1, "", "repeatPenalty"], [481, 2, 1, "", "ropeFreqBase"], [481, 2, 1, "", "ropeFreqScale"], [481, 2, 1, "", "ropeScalingType"], [481, 2, 1, "", "samplers"], [481, 2, 1, "", "seed"], [481, 3, 1, "", "setCachePrompt"], [481, 3, 1, "", "setChatTemplate"], [481, 3, 1, "", "setDefragmentationThreshold"], [481, 3, 1, "", "setDisableLog"], [481, 3, 1, "", "setDisableTokenIds"], [481, 3, 1, "", "setDynamicTemperatureExponent"], [481, 3, 1, "", "setDynamicTemperatureRange"], [481, 3, 1, "", "setFlashAttention"], [481, 3, 1, "", "setFrequencyPenalty"], [481, 3, 1, "", "setGpuSplitMode"], [481, 3, 1, "", "setGrammar"], [481, 3, 1, "", "setIgnoreEos"], [481, 3, 1, "", "setInputPrefix"], [481, 3, 1, "", "setInputSuffix"], [481, 3, 1, "", "setLogVerbosity"], [481, 3, 1, "", "setMainGpu"], [481, 3, 1, "", "setMinKeep"], [481, 3, 1, "", "setMinP"], [481, 3, 1, "", "setMiroStat"], [481, 3, 1, "", "setMiroStatEta"], [481, 3, 1, "", "setMiroStatTau"], [481, 3, 1, "", "setModelAlias"], [481, 3, 1, "", "setModelDraft"], [481, 3, 1, "", "setNBatch"], [481, 3, 1, "", "setNCtx"], [481, 3, 1, "", "setNDraft"], [481, 3, 1, "", "setNGpuLayers"], [481, 3, 1, "", "setNGpuLayersDraft"], [481, 3, 1, "", "setNKeep"], [481, 3, 1, "", "setNParallel"], [481, 3, 1, "", "setNPredict"], [481, 3, 1, "", "setNProbs"], [481, 3, 1, "", "setNThreads"], [481, 3, 1, "", "setNThreadsBatch"], [481, 3, 1, "", "setNUbatch"], [481, 3, 1, "", "setNoKvOffload"], [481, 3, 1, "", "setNumaStrategy"], [481, 3, 1, "", "setPenalizeNl"], [481, 3, 1, "", "setPenaltyPrompt"], [481, 3, 1, "", "setPoolingType"], [481, 3, 1, "", "setPresencePenalty"], [481, 3, 1, "", "setRepeatLastN"], [481, 3, 1, "", "setRepeatPenalty"], [481, 3, 1, "", "setRopeFreqBase"], [481, 3, 1, "", "setRopeFreqScale"], [481, 3, 1, "", "setRopeScalingType"], [481, 3, 1, "", "setSamplers"], [481, 3, 1, "", "setSeed"], [481, 3, 1, "", "setStopStrings"], [481, 3, 1, "", "setSystemPrompt"], [481, 3, 1, "", "setTemperature"], [481, 3, 1, "", "setTfsZ"], [481, 3, 1, "", "setTokenBias"], [481, 3, 1, "", "setTokenIdBias"], [481, 3, 1, "", "setTopK"], [481, 3, 1, "", "setTopP"], [481, 3, 1, "", "setTypicalP"], [481, 3, 1, "", "setUseChatTemplate"], [481, 3, 1, "", "setUseMlock"], [481, 3, 1, "", "setUseMmap"], [481, 3, 1, "", "setYarnAttnFactor"], [481, 3, 1, "", "setYarnBetaFast"], [481, 3, 1, "", "setYarnBetaSlow"], [481, 3, 1, "", "setYarnExtFactor"], [481, 3, 1, "", "setYarnOrigCtx"], [481, 2, 1, "", "stopStrings"], [481, 2, 1, "", "systemPrompt"], [481, 2, 1, "", "temperature"], [481, 2, 1, "", "tfsZ"], [481, 2, 1, "", "topK"], [481, 2, 1, "", "topP"], [481, 2, 1, "", "typicalP"], [481, 2, 1, "", "useChatTemplate"], [481, 2, 1, "", "useMlock"], [481, 2, 1, "", "useMmap"], [481, 2, 1, "", "yarnAttnFactor"], [481, 2, 1, "", "yarnBetaFast"], [481, 2, 1, "", "yarnBetaSlow"], [481, 2, 1, "", "yarnExtFactor"], [481, 2, 1, "", "yarnOrigCtx"]], "sparknlp.common.properties.HasLongMaxSentenceLengthLimit": [[481, 2, 1, "", "max_length_limit"]], "sparknlp.common.properties.HasMaxSentenceLengthLimit": [[481, 3, 1, "", "getMaxSentenceLength"], [481, 2, 1, "", "maxSentenceLength"], [481, 2, 1, "", "max_length_limit"], [481, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.common.properties.HasRescaleFactor": [[481, 2, 1, "", "doRescale"], [481, 2, 1, "", "rescaleFactor"], [481, 3, 1, "", "setDoRescale"], [481, 3, 1, "", "setRescaleFactor"]], "sparknlp.common.read_as": [[482, 1, 1, "", "ReadAs"]], "sparknlp.common.read_as.ReadAs": [[482, 2, 1, "", "BINARY"], [482, 2, 1, "", "SPARK"], [482, 2, 1, "", "TEXT"]], "sparknlp.common.recursive_annotator_approach": [[483, 1, 1, "", "RecursiveAnnotatorApproach"]], "sparknlp.common.storage": [[484, 1, 1, "", "HasStorage"], [484, 1, 1, "", "HasStorageModel"], [484, 1, 1, "", "HasStorageOptions"], [484, 1, 1, "", "HasStorageRef"]], "sparknlp.common.storage.HasStorage": [[484, 3, 1, "", "getStoragePath"], [484, 3, 1, "", "setStoragePath"], [484, 2, 1, "", "storagePath"]], "sparknlp.common.storage.HasStorageModel": [[484, 3, 1, "", "loadStorage"], [484, 3, 1, "", "loadStorages"], [484, 3, 1, "", "saveStorage"]], "sparknlp.common.storage.HasStorageOptions": [[484, 2, 1, "", "enableInMemoryStorage"], [484, 3, 1, "", "getEnableInMemoryStorage"], [484, 3, 1, "", "getIncludeStorage"], [484, 2, 1, "", "includeStorage"], [484, 3, 1, "", "setEnableInMemoryStorage"], [484, 3, 1, "", "setIncludeStorage"]], "sparknlp.common.storage.HasStorageRef": [[484, 3, 1, "", "getStorageRef"], [484, 3, 1, "", "setStorageRef"], [484, 2, 1, "", "storageRef"]], "sparknlp.common.utils": [[485, 5, 1, "", "ExternalResource"], [485, 5, 1, "", "RegexRule"]], "sparknlp.functions": [[486, 5, 1, "", "explode_annotations_col"], [486, 5, 1, "", "filter_by_annotations_col"], [486, 5, 1, "", "map_annotations"], [486, 5, 1, "", "map_annotations_array"], [486, 5, 1, "", "map_annotations_col"], [486, 5, 1, "", "map_annotations_cols"], [486, 5, 1, "", "map_annotations_strict"]], "sparknlp.internal": [[488, 0, 0, "-", "annotator_java_ml"], [489, 0, 0, "-", "annotator_transformer"], [490, 0, 0, "-", "extended_java_wrapper"], [492, 0, 0, "-", "params_getters_setters"], [493, 0, 0, "-", "recursive"]], "sparknlp.internal.annotator_java_ml": [[488, 1, 1, "", "AnnotatorJavaMLReadable"], [488, 1, 1, "", "AnnotatorJavaMLReader"]], "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable": [[488, 3, 1, "", "read"]], "sparknlp.internal.annotator_transformer": [[489, 1, 1, "", "AnnotatorTransformer"]], "sparknlp.internal.annotator_transformer.AnnotatorTransformer": [[489, 2, 1, "", "outputAnnotatorType"]], "sparknlp.internal.extended_java_wrapper": [[490, 1, 1, "", "ExtendedJavaWrapper"]], "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper": [[490, 3, 1, "", "apply"], [490, 3, 1, "", "getDataFrame"], [490, 2, 1, "", "java_obj"], [490, 3, 1, "", "new_java_array"], [490, 3, 1, "", "new_java_array_integer"], [490, 3, 1, "", "new_java_array_string"], [490, 3, 1, "", "new_java_obj"], [490, 2, 1, "", "sc"], [490, 3, 1, "", "spark_version"]], "sparknlp.internal.params_getters_setters": [[492, 1, 1, "", "ParamsGettersSetters"]], "sparknlp.internal.params_getters_setters.ParamsGettersSetters": [[492, 3, 1, "", "getParamValue"], [492, 2, 1, "", "getter_attrs"], [492, 3, 1, "", "setParamValue"]], "sparknlp.internal.recursive": [[493, 1, 1, "", "RecursiveEstimator"], [493, 1, 1, "", "RecursiveTransformer"]], "sparknlp.internal.recursive.RecursiveEstimator": [[493, 3, 1, "", "fit"]], "sparknlp.internal.recursive.RecursiveTransformer": [[493, 3, 1, "", "transform_recursive"]], "sparknlp.logging": [[494, 0, 0, "-", "comet"]], "sparknlp.logging.comet": [[494, 1, 1, "", "CometLogger"], [494, 4, 1, "", "comet_ml"]], "sparknlp.logging.comet.CometLogger": [[494, 2, 1, "", "comet_mode"], [494, 3, 1, "", "end"], [494, 2, 1, "", "experiment"], [494, 2, 1, "", "experiment_id"], [494, 2, 1, "", "experiment_kwargs"], [494, 3, 1, "", "log_asset"], [494, 3, 1, "", "log_asset_data"], [494, 3, 1, "", "log_completed_run"], [494, 3, 1, "", "log_metrics"], [494, 3, 1, "", "log_parameters"], [494, 3, 1, "", "log_pipeline_parameters"], [494, 3, 1, "", "log_visualization"], [494, 3, 1, "", "monitor"], [494, 2, 1, "", "project_name"], [494, 2, 1, "", "thread"], [494, 2, 1, "", "workspace"]], "sparknlp.partition": [[497, 0, 0, "-", "partition"], [498, 0, 0, "-", "partition_properties"], [499, 0, 0, "-", "partition_transformer"]], "sparknlp.partition.partition": [[497, 1, 1, "", "Partition"]], "sparknlp.partition.partition.Partition": [[497, 3, 1, "", "partition"], [497, 3, 1, "", "partition_text"], [497, 3, 1, "", "partition_urls"], [497, 2, 1, "", "spark"]], "sparknlp.partition.partition_properties": [[498, 1, 1, "", "HasChunkerProperties"], [498, 1, 1, "", "HasEmailReaderProperties"], [498, 1, 1, "", "HasExcelReaderProperties"], [498, 1, 1, "", "HasHTMLReaderProperties"], [498, 1, 1, "", "HasPdfProperties"], [498, 1, 1, "", "HasPowerPointProperties"], [498, 1, 1, "", "HasReaderProperties"], [498, 1, 1, "", "HasTextReaderProperties"]], "sparknlp.partition.partition_properties.HasChunkerProperties": [[498, 2, 1, "", "chunkingStrategy"], [498, 2, 1, "", "combineTextUnderNChars"], [498, 2, 1, "", "maxCharacters"], [498, 2, 1, "", "newAfterNChars"], [498, 2, 1, "", "overlap"], [498, 2, 1, "", "overlapAll"], [498, 3, 1, "", "setChunkingStrategy"], [498, 3, 1, "", "setCombineTextUnderNChars"], [498, 3, 1, "", "setMaxCharacters"], [498, 3, 1, "", "setNewAfterNChars"], [498, 3, 1, "", "setOverlap"], [498, 3, 1, "", "setOverlapAll"]], "sparknlp.partition.partition_properties.HasEmailReaderProperties": [[498, 2, 1, "", "addAttachmentContent"], [498, 3, 1, "", "getAddAttachmentContent"], [498, 3, 1, "", "setAddAttachmentContent"]], "sparknlp.partition.partition_properties.HasExcelReaderProperties": [[498, 2, 1, "", "appendCells"], [498, 2, 1, "", "cellSeparator"], [498, 3, 1, "", "getAppendCells"], [498, 3, 1, "", "getCellSeparator"], [498, 3, 1, "", "setAppendCells"], [498, 3, 1, "", "setCellSeparator"]], "sparknlp.partition.partition_properties.HasHTMLReaderProperties": [[498, 3, 1, "", "getTimeout"], [498, 2, 1, "", "outputFormat"], [498, 3, 1, "", "setHeaders"], [498, 3, 1, "", "setOutputFormat"], [498, 3, 1, "", "setTimeout"], [498, 2, 1, "", "timeout"]], "sparknlp.partition.partition_properties.HasPdfProperties": [[498, 2, 1, "", "extractCoordinates"], [498, 2, 1, "", "normalizeLigatures"], [498, 2, 1, "", "onlyPageNum"], [498, 2, 1, "", "originCol"], [498, 2, 1, "", "pageNumCol"], [498, 2, 1, "", "partitionNum"], [498, 2, 1, "", "readAsImage"], [498, 3, 1, "", "setExtractCoordinates"], [498, 3, 1, "", "setNormalizeLigatures"], [498, 3, 1, "", "setOnlyPageNum"], [498, 3, 1, "", "setOriginCol"], [498, 3, 1, "", "setPageNumCol"], [498, 3, 1, "", "setPartitionNum"], [498, 3, 1, "", "setReadAsImage"], [498, 3, 1, "", "setSort"], [498, 3, 1, "", "setSplitPage"], [498, 3, 1, "", "setStoreSplittedPdf"], [498, 3, 1, "", "setTextStripper"], [498, 2, 1, "", "sort"], [498, 2, 1, "", "splitPage"], [498, 2, 1, "", "storeSplittedPdf"], [498, 2, 1, "", "textStripper"]], "sparknlp.partition.partition_properties.HasPowerPointProperties": [[498, 3, 1, "", "getIncludeSlideNotes"], [498, 2, 1, "", "includeSlideNotes"], [498, 3, 1, "", "setIncludeSlideNotes"]], "sparknlp.partition.partition_properties.HasReaderProperties": [[498, 2, 1, "", "contentPath"], [498, 2, 1, "", "contentType"], [498, 2, 1, "", "explodeDocs"], [498, 2, 1, "", "flattenOutput"], [498, 2, 1, "", "ignoreExceptions"], [498, 2, 1, "", "includePageBreaks"], [498, 2, 1, "", "inferTableStructure"], [498, 2, 1, "", "inputCol"], [498, 2, 1, "", "outputAsDocument"], [498, 2, 1, "", "outputCol"], [498, 3, 1, "", "setContentPath"], [498, 3, 1, "", "setContentType"], [498, 3, 1, "", "setExplodeDocs"], [498, 3, 1, "", "setFlattenOutput"], [498, 3, 1, "", "setIgnoreExceptions"], [498, 3, 1, "", "setIncludePageBreaks"], [498, 3, 1, "", "setInferTableStructure"], [498, 3, 1, "", "setInputCol"], [498, 3, 1, "", "setOutputAsDocument"], [498, 3, 1, "", "setOutputCol"], [498, 3, 1, "", "setStoreContent"], [498, 3, 1, "", "setTitleFontSize"], [498, 3, 1, "", "setTitleThreshold"], [498, 2, 1, "", "storeContent"], [498, 2, 1, "", "titleFontSize"], [498, 2, 1, "", "titleThreshold"]], "sparknlp.partition.partition_properties.HasTextReaderProperties": [[498, 3, 1, "", "getGroupBrokenParagraphs"], [498, 3, 1, "", "getMaxLineCount"], [498, 3, 1, "", "getParagraphSplit"], [498, 3, 1, "", "getShortLineWordThreshold"], [498, 3, 1, "", "getThreshold"], [498, 3, 1, "", "getTitleLengthSize"], [498, 2, 1, "", "groupBrokenParagraphs"], [498, 2, 1, "", "maxLineCount"], [498, 2, 1, "", "paragraphSplit"], [498, 3, 1, "", "setGroupBrokenParagraphs"], [498, 3, 1, "", "setMaxLineCount"], [498, 3, 1, "", "setParagraphSplit"], [498, 3, 1, "", "setShortLineWordThreshold"], [498, 3, 1, "", "setThreshold"], [498, 3, 1, "", "setTitleLengthSize"], [498, 2, 1, "", "shortLineWordThreshold"], [498, 2, 1, "", "threshold"], [498, 2, 1, "", "titleLengthSize"]], "sparknlp.partition.partition_transformer": [[499, 1, 1, "", "PartitionTransformer"]], "sparknlp.partition.partition_transformer.PartitionTransformer": [[499, 2, 1, "", "contentPath"], [499, 2, 1, "", "contentType"], [499, 3, 1, "", "getContentPath"], [499, 3, 1, "", "getContentType"], [499, 3, 1, "", "getIncludePageBreaks"], [499, 3, 1, "", "getInferTableStructure"], [499, 3, 1, "", "getStoreContent"], [499, 3, 1, "", "getTitleFontSize"], [499, 2, 1, "", "includePageBreaks"], [499, 2, 1, "", "inferTableStructure"], [499, 2, 1, "", "inputAnnotatorTypes"], [499, 2, 1, "", "name"], [499, 2, 1, "", "outputAnnotatorType"], [499, 3, 1, "", "setContentPath"], [499, 3, 1, "", "setContentType"], [499, 3, 1, "", "setIncludePageBreaks"], [499, 3, 1, "", "setInferTableStructure"], [499, 3, 1, "", "setStoreContent"], [499, 3, 1, "", "setTitleFontSize"], [499, 2, 1, "", "storeContent"], [499, 2, 1, "", "titleFontSize"]], "sparknlp.pretrained": [[501, 0, 0, "-", "pretrained_pipeline"], [502, 0, 0, "-", "resource_downloader"], [503, 0, 0, "-", "utils"]], "sparknlp.pretrained.pretrained_pipeline": [[501, 1, 1, "", "PretrainedPipeline"]], "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline": [[501, 3, 1, "", "annotate"], [501, 3, 1, "", "from_disk"], [501, 3, 1, "", "fullAnnotate"], [501, 3, 1, "", "fullAnnotateImage"], [501, 2, 1, "", "light_model"], [501, 3, 1, "", "transform"]], "sparknlp.pretrained.resource_downloader": [[502, 1, 1, "", "ResourceDownloader"]], "sparknlp.pretrained.resource_downloader.ResourceDownloader": [[502, 3, 1, "", "clearCache"], [502, 3, 1, "", "downloadModel"], [502, 3, 1, "", "downloadModelDirectly"], [502, 3, 1, "", "downloadPipeline"], [502, 3, 1, "", "showAvailableAnnotators"], [502, 3, 1, "", "showPublicModels"], [502, 3, 1, "", "showPublicPipelines"], [502, 3, 1, "", "showUnCategorizedResources"]], "sparknlp.pretrained.utils": [[503, 5, 1, "", "printProgress"]], "sparknlp.reader": [[504, 0, 0, "-", "enums"], [506, 0, 0, "-", "pdf_to_text"], [507, 0, 0, "-", "reader2doc"], [508, 0, 0, "-", "reader2image"], [509, 0, 0, "-", "reader2table"], [510, 0, 0, "-", "reader_assembler"], [511, 0, 0, "-", "sparknlp_reader"]], "sparknlp.reader.enums": [[504, 1, 1, "", "TextStripperType"]], "sparknlp.reader.enums.TextStripperType": [[504, 2, 1, "", "PDF_LAYOUT_TEXT_STRIPPER"], [504, 2, 1, "", "PDF_TEXT_STRIPPER"]], "sparknlp.reader.pdf_to_text": [[506, 1, 1, "", "PdfToText"]], "sparknlp.reader.pdf_to_text.PdfToText": [[506, 2, 1, "", "extractCoordinates"], [506, 2, 1, "", "normalizeLigatures"], [506, 2, 1, "", "onlyPageNum"], [506, 2, 1, "", "pageNumCol"], [506, 2, 1, "", "partitionNum"], [506, 3, 1, "", "setExtractCoordinates"], [506, 3, 1, "", "setInputCol"], [506, 3, 1, "", "setNormalizeLigatures"], [506, 3, 1, "", "setOnlyPageNum"], [506, 3, 1, "", "setOutputCol"], [506, 3, 1, "", "setPageNumCol"], [506, 3, 1, "", "setPartitionNum"], [506, 3, 1, "", "setSort"], [506, 3, 1, "", "setSplitPage"], [506, 3, 1, "", "setStoreSplittedPdf"], [506, 3, 1, "", "setTextStripper"], [506, 2, 1, "", "sort"], [506, 2, 1, "", "splitPage"], [506, 2, 1, "", "storeSplittedPdf"], [506, 2, 1, "", "textStripper"]], "sparknlp.reader.reader2doc": [[507, 1, 1, "", "Reader2Doc"]], "sparknlp.reader.reader2doc.Reader2Doc": [[507, 2, 1, "", "excludeNonText"], [507, 2, 1, "", "name"], [507, 2, 1, "", "outputAnnotatorType"], [507, 3, 1, "", "setExcludeNonText"], [507, 3, 1, "", "setParams"]], "sparknlp.reader.reader2image": [[508, 1, 1, "", "Reader2Image"]], "sparknlp.reader.reader2image.Reader2Image": [[508, 2, 1, "", "customPromptTemplate"], [508, 2, 1, "", "name"], [508, 2, 1, "", "outputAnnotatorType"], [508, 2, 1, "", "promptTemplate"], [508, 3, 1, "", "setCustomPromptTemplate"], [508, 3, 1, "", "setParams"], [508, 3, 1, "", "setPromptTemplate"], [508, 3, 1, "", "setUserMessage"], [508, 2, 1, "", "userMessage"]], "sparknlp.reader.reader2table": [[509, 1, 1, "", "Reader2Table"]], "sparknlp.reader.reader2table.Reader2Table": [[509, 2, 1, "", "name"], [509, 2, 1, "", "outputAnnotatorType"], [509, 3, 1, "", "setParams"]], "sparknlp.reader.reader_assembler": [[510, 1, 1, "", "ReaderAssembler"]], "sparknlp.reader.reader_assembler.ReaderAssembler": [[510, 2, 1, "", "customPromptTemplate"], [510, 2, 1, "", "excludeNonText"], [510, 2, 1, "", "name"], [510, 2, 1, "", "outputAnnotatorType"], [510, 2, 1, "", "promptTemplate"], [510, 3, 1, "", "setCustomPromptTemplate"], [510, 3, 1, "", "setExcludeNonText"], [510, 3, 1, "", "setParams"], [510, 3, 1, "", "setPromptTemplate"], [510, 3, 1, "", "setUserMessage"], [510, 2, 1, "", "userMessage"]], "sparknlp.reader.sparknlp_reader": [[511, 1, 1, "", "SparkNLPReader"]], "sparknlp.reader.sparknlp_reader.SparkNLPReader": [[511, 3, 1, "", "csv"], [511, 3, 1, "", "doc"], [511, 3, 1, "", "email"], [511, 3, 1, "", "html"], [511, 3, 1, "", "md"], [511, 3, 1, "", "pdf"], [511, 3, 1, "", "ppt"], [511, 2, 1, "", "spark"], [511, 3, 1, "", "txt"], [511, 3, 1, "", "xls"], [511, 3, 1, "", "xml"]], "sparknlp.training": [[512, 0, 0, "-", "conll"], [513, 0, 0, "-", "conllu"], [515, 0, 0, "-", "pos"], [516, 0, 0, "-", "pub_tator"], [517, 0, 0, "-", "spacy_to_annotation"], [518, 0, 0, "-", "tfgraphs"]], "sparknlp.training.conll": [[512, 1, 1, "", "CoNLL"]], "sparknlp.training.conll.CoNLL": [[512, 3, 1, "", "readDataset"]], "sparknlp.training.conllu": [[513, 1, 1, "", "CoNLLU"]], "sparknlp.training.conllu.CoNLLU": [[513, 3, 1, "", "readDataset"]], "sparknlp.training.pos": [[515, 1, 1, "", "POS"]], "sparknlp.training.pos.POS": [[515, 3, 1, "", "readDataset"]], "sparknlp.training.pub_tator": [[516, 1, 1, "", "PubTator"]], "sparknlp.training.pub_tator.PubTator": [[516, 3, 1, "", "readDataset"]], "sparknlp.training.spacy_to_annotation": [[517, 1, 1, "", "SpacyToAnnotation"]], "sparknlp.training.spacy_to_annotation.SpacyToAnnotation": [[517, 3, 1, "", "readJsonFile"]], "sparknlp.training.tfgraphs": [[518, 4, 1, "", "tf_graph"], [518, 4, 1, "", "tf_graph_1x"]], "sparknlp.upload_to_hub": [[519, 1, 1, "", "PushToHub"]], "sparknlp.upload_to_hub.PushToHub": [[519, 3, 1, "", "check_for_required_info"], [519, 3, 1, "", "create_docs"], [519, 2, 1, "", "list_of_tasks"], [519, 3, 1, "", "push_to_hub"], [519, 3, 1, "", "unzip_directory"], [519, 3, 1, "", "zip_directory"]], "sparknlp.util": [[520, 1, 1, "", "CoNLLGenerator"], [520, 1, 1, "", "EmbeddingsDataFrameUtils"], [520, 5, 1, "", "get_config_path"]], "sparknlp.util.CoNLLGenerator": [[520, 3, 1, "", "exportConllFiles"]], "sparknlp.util.EmbeddingsDataFrameUtils": [[520, 2, 1, "", "emptyImageRow"], [520, 2, 1, "", "imageSchema"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:attribute", "3": "py:method", "4": "py:data", "5": "py:function"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "attribute", "Python attribute"], "3": ["py", "method", "Python method"], "4": ["py", "data", "Python data"], "5": ["py", "function", "Python function"]}, "titleterms": {"sparknlp": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520], "packag": [1, 5, 6, 12, 59, 62, 64, 83, 90, 121, 124, 126, 129, 136, 145, 148, 151, 153, 156, 159, 180, 182, 189, 195, 197, 214, 227, 233, 235, 239, 243, 251, 383, 487], "subpackag": [1, 5, 383, 487], "submodul": [1, 5, 6, 12, 59, 62, 64, 83, 90, 121, 124, 126, 129, 136, 145, 148, 151, 153, 156, 159, 180, 182, 189, 195, 197, 214, 227, 233, 235, 239, 243, 251, 266, 296, 320, 321, 328, 343, 362, 381, 383, 384, 386, 391, 396, 405, 410, 411, 413, 416, 426, 441, 443, 450, 455, 467, 479, 487, 491, 495, 496, 500, 505, 514], "modul": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 480, 481, 482, 483, 484, 485, 486, 488, 489, 490, 492, 493, 494, 497, 498, 499, 501, 502, 503, 504, 506, 507, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520, 521], "content": [1, 5, 6, 12, 59, 62, 64, 83, 90, 121, 124, 126, 129, 136, 145, 148, 151, 153, 156, 159, 180, 182, 189, 195, 197, 214, 227, 233, 235, 239, 243, 251, 261, 262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 383, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 494, 497, 498, 499, 501, 502, 503, 504, 506, 507, 508, 509, 510, 511, 512, 513, 515, 516, 517, 518, 519, 520], "annot": [2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 262, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 525, 526, 527], "annotation_audio": [3, 263], "annotation_imag": [4, 264], "audio": [6, 7, 8, 9, 265, 266, 267, 268], "hubert_for_ctc": [7, 265], "wav2vec2_for_ctc": [8, 267], "whisper_for_ctc": [9, 268], "chunk2_doc": [10, 269], "chunker": [11, 270], "classifier_dl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317], "albert_for_multiple_choic": [13, 271], "albert_for_question_answ": [14, 272], "albert_for_sequence_classif": [15, 273], "albert_for_token_classif": [16, 274], "albert_for_zero_shot_classif": [17, 275], "bart_for_zero_shot_classif": [18, 276], "bert_for_multiple_choic": [19, 277], "bert_for_question_answ": [20, 278], "bert_for_sequence_classif": [21, 279], "bert_for_token_classif": [22, 280], "bert_for_zero_shot_classif": [23, 281], "camembert_for_question_answ": [24, 282], "camembert_for_sequence_classif": [25, 283], "camembert_for_token_classif": [26, 284], "camembert_for_zero_shot_classif": [27, 285], "exampl": [27, 32, 285, 290], "deberta_for_question_answ": [29, 287], "deberta_for_sequence_classif": [30, 288], "deberta_for_token_classif": [31, 289], "deberta_for_zero_shot_classif": [32, 290], "return": [32, 70, 71, 77, 290, 329, 330, 336], "distil_bert_for_question_answ": [33, 291], "distil_bert_for_sequence_classif": [34, 292], "distil_bert_for_token_classif": [35, 293], "distil_bert_for_zero_shot_classif": [36, 294], "distilbert_for_multiple_choic": [37, 295], "longformer_for_question_answ": [38, 297], "longformer_for_sequence_classif": [39, 298], "longformer_for_token_classif": [40, 299], "mpnet_for_question_answ": [41, 300], "mpnet_for_sequence_classif": [42, 301], "mpnet_for_token_classif": [43, 302], "multi_classifier_dl": [44, 303], "roberta_for_multiple_choic": [45, 304], "roberta_for_question_answ": [46, 305], "roberta_for_sequence_classif": [47, 306], "roberta_for_token_classif": [48, 307], "roberta_for_zero_shot_classif": [49, 308], "sentiment_dl": [50, 309], "tapas_for_question_answ": [51, 310], "xlm_roberta_for_multiple_choic": [52, 311], "xlm_roberta_for_question_answ": [53, 312], "xlm_roberta_for_sequence_classif": [54, 313], "xlm_roberta_for_token_classif": [55, 314], "xlm_roberta_for_zero_shot_classif": [56, 315], "xlnet_for_sequence_classif": [57, 316], "xlnet_for_token_classif": [58, 317], "cleaner": [59, 60, 61, 318, 319, 320], "extractor": [61, 319], "coref": [62, 63, 321, 322], "spanbert_coref": [63, 322], "cv": [64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339], "blip_for_question_answ": [65, 323], "clip_for_zero_shot_classif": [66, 324], "convnext_for_image_classif": [67, 325], "florence2_transform": [68, 326], "gemma3_for_multimod": [69, 327], "internvl_for_multimod": [70, 329], "refer": [70, 71, 77, 329, 330, 336, 521], "janus_for_multimod": [71, 330], "llava_for_multimod": [72, 331], "mllama_for_multimod": [73, 332], "paligemma_for_multimod": [74, 333], "phi3_vision_for_multimod": [75, 334], "qwen2vl_transform": [76, 335], "smolvlm_transform": [77, 336], "swin_for_image_classif": [78, 337], "vision_encoder_decoder_for_image_capt": [79, 338], "vit_for_image_classif": [80, 339], "dataframe_optim": [81, 340], "date2_chunk": [82, 341], "depend": [83, 84, 85, 342, 343, 344], "dependency_pars": [84, 342], "typed_dependency_pars": [85, 344], "document_character_text_splitt": [86, 345], "document_norm": [87, 346], "document_token_splitt": [88, 347], "document_token_splitter_test": [89, 348], "embed": [90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379], "albert_embed": [91, 349], "auto_gguf_embed": [92, 350], "bert_embed": [93, 351], "bert_sentence_embed": [94, 352], "bge_embed": [95, 353], "camembert_embed": [96, 354], "chunk_embed": [97, 355], "deberta_embed": [98, 356], "distil_bert_embed": [99, 357], "doc2vec": [100, 358], "e5_embed": [101, 359], "e5v_embed": [102, 360], "elmo_embed": [103, 361], "instructor_embed": [104, 363], "longformer_embed": [105, 364], "minilm_embed": [106, 365], "mpnet_embed": [107, 366], "mxbai_embed": [108, 367], "nomic_embed": [109, 368], "roberta_embed": [110, 369], "roberta_sentence_embed": [111, 370], "sentence_embed": [112, 371], "snowflake_embed": [113, 372], "uae_embed": [114, 373], "universal_sentence_encod": [115, 374], "word2vec": [116, 375], "word_embed": [117, 376], "xlm_roberta_embed": [118, 377], "xlm_roberta_sentence_embed": [119, 378], "xlnet_embed": [120, 379], "er": [121, 122, 380, 381], "entity_rul": [122, 380], "graph_extract": [123, 382], "keyword_extract": [124, 125, 384, 385], "yake_keyword_extract": [125, 385], "ld_dl": [126, 127, 386, 387], "language_detector_dl": [127, 387], "lemmat": [128, 388], "matcher": [129, 130, 131, 132, 133, 134, 389, 390, 391, 392, 393, 394], "big_text_match": [130, 389], "date_match": [131, 390], "multi_date_match": [132, 392], "regex_match": [133, 393], "text_match": [134, 394], "n_gram_gener": [135, 395], "ner": [136, 137, 138, 139, 140, 141, 142, 143, 396, 397, 398, 399, 400, 401, 402, 403], "ner_approach": [137, 397], "ner_convert": [138, 398], "ner_crf": [139, 399], "ner_dl": [140, 400], "ner_dl_graph_check": [141, 401], "ner_overwrit": [142, 402], "zero_shot_ner_model": [143, 403], "normal": [144, 404], "openai": [145, 146, 147, 405, 406, 407], "openai_complet": [146, 406], "openai_embed": [147, 407], "param": [148, 149, 150, 408, 409, 410], "classifier_encod": [149, 408], "evaluation_dl_param": [150, 409], "po": [151, 152, 254, 411, 412, 515, 532], "perceptron": [152, 412], "sentenc": [153, 154, 155, 413, 414, 415, 527], "sentence_detector": [154, 414], "sentence_detector_dl": [155, 415], "sentiment": [156, 157, 158, 416, 417, 418], "sentiment_detector": [157, 417], "vivekn_senti": [158, 418], "seq2seq": [159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439], "auto_gguf_model": [160, 419], "auto_gguf_rerank": [161, 420], "auto_gguf_vision_model": [162, 421], "bart_transform": [163, 422], "cohere_transform": [164, 423], "cpm_transform": [165, 424], "gpt2_transform": [166, 425], "llama2_transform": [167, 427], "llama3_transform": [168, 428], "m2m100_transform": [169, 429], "marian_transform": [170, 430], "mistral_transform": [171, 431], "nllb_transform": [172, 432], "olmo_transform": [173, 433], "phi2_transform": [174, 434], "phi3_transform": [175, 435], "phi4_transform": [176, 436], "qwen_transform": [177, 437], "starcoder_transform": [178, 438], "t5_transform": [179, 439], "similar": [180, 181, 440, 441], "document_similarity_rank": [181, 440], "spell_check": [182, 183, 184, 185, 442, 443, 444, 445], "context_spell_check": [183, 442], "norvig_sweet": [184, 444], "symmetric_delet": [185, 445], "stemmer": [186, 446], "stop_words_clean": [187, 447], "tf_ner_dl_graph_build": [188, 448], "token": [189, 190, 191, 192, 193, 449, 450, 451, 452, 453, 527], "chunk_token": [190, 449], "recursive_token": [191, 451], "regex_token": [192, 452], "token2_chunk": [194, 454], "w": [195, 196, 455, 456], "word_segment": [196, 456], "base": [197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473], "audio_assembl": [198, 457], "doc2_chunk": [199, 458], "document_assembl": [200, 459], "embeddings_finish": [201, 460], "finish": [202, 461, 527], "gguf_ranking_finish": [203, 462], "graph_finish": [204, 463], "has_recursive_fit": [205, 464], "has_recursive_transform": [206, 465], "image_assembl": [207, 466], "light_pipelin": [208, 468], "multi_document_assembl": [209, 469], "prompt_assembl": [210, 470], "recursive_pipelin": [211, 471], "table_assembl": [212, 472], "token_assembl": [213, 473], "common": [214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 526], "annotator_approach": [215, 474], "annotator_model": [216, 475], "annotator_properti": [217, 476], "annotator_typ": [218, 477], "coverage_result": [219, 478], "match_strategi": [220, 480], "properti": [221, 481], "read_a": [222, 482], "recursive_annotator_approach": [223, 483], "storag": [224, 484], "util": [225, 242, 259, 485, 503, 520], "function": [226, 340, 485, 486, 487, 503, 520, 526, 528], "intern": [227, 228, 229, 230, 231, 232, 488, 489, 490, 491, 492, 493], "annotator_java_ml": [228, 488], "annotator_transform": [229, 489], "extended_java_wrapp": [230, 490], "params_getters_sett": [231, 492], "recurs": [232, 493], "log": [233, 234, 494, 495, 522, 524], "comet": [234, 494, 522], "partit": [235, 236, 237, 238, 496, 497, 498, 499], "partition_properti": [237, 498], "parametersf": [237, 498], "partition_transform": [238, 499], "pretrain": [239, 240, 241, 242, 500, 501, 502, 503, 526, 530, 531], "pretrained_pipelin": [240, 501], "resource_download": [241, 502], "reader": [243, 244, 245, 246, 247, 248, 249, 250, 504, 505, 506, 507, 508, 509, 510, 511], "enum": [244, 504], "pdf_to_text": [245, 506], "reader2doc": [246, 507], "reader2imag": [247, 508], "reader2t": [248, 509], "reader_assembl": [249, 510], "sparknlp_read": [250, 511], "train": [251, 252, 253, 254, 255, 256, 257, 512, 513, 514, 515, 516, 517, 518, 532], "conll": [252, 512, 532], "conllu": [253, 513, 532], "pub_tat": [255, 516], "spacy_to_annot": [256, 517], "tfgraph": [257, 518], "upload_to_hub": [258, 519], "get": [260, 527], "start": 260, "spark": [260, 261, 522, 527, 531], "nlp": [260, 261, 522, 531], "cheat": 260, "sheet": 260, "requir": 260, "instal": [260, 522], "us": [260, 522, 531], "conda": 260, "virtualenv": 260, "session": 260, "from": 260, "python": 260, "document": 261, "class": [262, 263, 264, 265, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 382, 385, 387, 388, 389, 390, 392, 393, 394, 395, 397, 398, 399, 400, 401, 402, 403, 404, 406, 407, 408, 409, 412, 414, 415, 417, 418, 419, 420, 421, 422, 423, 424, 425, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 446, 447, 448, 449, 451, 452, 453, 454, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 480, 481, 482, 483, 484, 488, 489, 490, 492, 493, 494, 497, 498, 499, 501, 502, 504, 506, 507, 508, 509, 510, 511, 512, 513, 515, 516, 517, 519, 520], "attribut": [487, 494], "api": 521, "A": 522, "meta": 522, "machin": [522, 523], "learn": [522, 523], "platform": [522, 523], "pipelin": [522, 527, 530, 531], "paramet": 522, "evalu": 522, "metric": 522, "visual": 522, "run": 522, "an": 522, "offlin": 522, "experi": 522, "mlflow": 523, "lifecycl": 523, "third": 524, "parti": 524, "project": 524, "approach": 526, "model": 526, "note": 526, "avail": [526, 531], "set": 527, "up": 527, "your": 527, "own": 527, "type": 527, "necessari": 527, "import": 527, "construct": 527, "documentassembl": 527, "data": 527, "detect": 527, "out": 527, "put": 527, "all": 527, "togeth": 527, "ml": [527, 531], "helper": 528, "user": 529, "guid": 529, "light": 530, "convert": 530, "pipelinemodel": 530, "download": 531, "As": 531, "lightpipelin": 531, "load": 532, "dataset": 532, "spell": 532, "checker": 532, "pubtat": 532}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1, "sphinx.ext.intersphinx": 1, "sphinx": 58}, "alltitles": {"sparknlp": [[0, "sparknlp"], [487, "module-sparknlp"]], "sparknlp package": [[1, "sparknlp-package"]], "Subpackages": [[1, "subpackages"], [5, "subpackages"], [383, "subpackages"], [487, "subpackages"]], "Submodules": [[1, "submodules"], [5, "submodules"], [6, "submodules"], [12, "submodules"], [59, "submodules"], [62, "submodules"], [64, "submodules"], [83, "submodules"], [90, "submodules"], [121, "submodules"], [124, "submodules"], [126, "submodules"], [129, "submodules"], [136, "submodules"], [145, "submodules"], [148, "submodules"], [151, "submodules"], [153, "submodules"], [156, "submodules"], [159, "submodules"], [180, "submodules"], [182, "submodules"], [189, "submodules"], [195, "submodules"], [197, "submodules"], [214, "submodules"], [227, "submodules"], [233, "submodules"], [235, "submodules"], [239, "submodules"], [243, "submodules"], [251, "submodules"], [266, "submodules"], [296, "submodules"], [320, "submodules"], [321, "submodules"], [328, "submodules"], [343, "submodules"], [362, "submodules"], [381, "submodules"], [383, "submodules"], [384, "submodules"], [386, "submodules"], [391, "submodules"], [396, "submodules"], [405, "submodules"], [410, "submodules"], [411, "submodules"], [413, "submodules"], [416, "submodules"], [426, "submodules"], [441, "submodules"], [443, "submodules"], [450, "submodules"], [455, "submodules"], [467, "submodules"], [479, "submodules"], [487, "submodules"], [491, "submodules"], [495, "submodules"], [496, "submodules"], [500, "submodules"], [505, "submodules"], [514, "submodules"]], "Module contents": [[1, "module-sparknlp"], [5, "module-sparknlp.annotator"], [6, "module-sparknlp.annotator.audio"], [12, "module-sparknlp.annotator.classifier_dl"], [59, "module-sparknlp.annotator.cleaners"], [62, "module-sparknlp.annotator.coref"], [64, "module-sparknlp.annotator.cv"], [83, "module-sparknlp.annotator.dependency"], [90, "module-sparknlp.annotator.embeddings"], [121, "module-sparknlp.annotator.er"], [124, "module-sparknlp.annotator.keyword_extraction"], [126, "module-sparknlp.annotator.ld_dl"], [129, "module-sparknlp.annotator.matcher"], [136, "module-sparknlp.annotator.ner"], [145, "module-sparknlp.annotator.openai"], [148, "module-sparknlp.annotator.param"], [151, "module-sparknlp.annotator.pos"], [153, "module-sparknlp.annotator.sentence"], [156, "module-sparknlp.annotator.sentiment"], [159, "module-sparknlp.annotator.seq2seq"], [180, "module-sparknlp.annotator.similarity"], [182, "module-sparknlp.annotator.spell_check"], [189, "module-sparknlp.annotator.token"], [195, "module-sparknlp.annotator.ws"], [197, "module-sparknlp.base"], [214, "module-sparknlp.common"], [227, "module-sparknlp.internal"], [233, "module-sparknlp.logging"], [235, "module-sparknlp.partition"], [239, "module-sparknlp.pretrained"], [243, "module-sparknlp.reader"], [251, "module-sparknlp.training"]], "sparknlp.annotation module": [[2, "module-sparknlp.annotation"]], "sparknlp.annotation_audio module": [[3, "module-sparknlp.annotation_audio"]], "sparknlp.annotation_image module": [[4, "module-sparknlp.annotation_image"]], "sparknlp.annotator package": [[5, "sparknlp-annotator-package"]], "sparknlp.annotator.audio package": [[6, "sparknlp-annotator-audio-package"]], "sparknlp.annotator.audio.hubert_for_ctc module": [[7, "module-sparknlp.annotator.audio.hubert_for_ctc"]], "sparknlp.annotator.audio.wav2vec2_for_ctc module": [[8, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"]], "sparknlp.annotator.audio.whisper_for_ctc module": [[9, "module-sparknlp.annotator.audio.whisper_for_ctc"]], "sparknlp.annotator.chunk2_doc module": [[10, "module-sparknlp.annotator.chunk2_doc"]], "sparknlp.annotator.chunker module": [[11, "module-sparknlp.annotator.chunker"]], "sparknlp.annotator.classifier_dl package": [[12, "sparknlp-annotator-classifier-dl-package"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice module": [[13, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering module": [[14, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification module": [[15, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification module": [[16, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification module": [[17, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification module": [[18, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice module": [[19, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering module": [[20, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification module": [[21, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification module": [[22, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification module": [[23, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering module": [[24, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification module": [[25, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification module": [[26, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification module": [[27, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"]], "Examples": [[27, "examples"], [32, "examples"], [285, "examples"], [290, "examples"]], "sparknlp.annotator.classifier_dl.classifier_dl module": [[28, "module-sparknlp.annotator.classifier_dl.classifier_dl"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering module": [[29, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification module": [[30, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification module": [[31, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification module": [[32, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"]], "Returns": [[32, "returns"], [32, "id1"], [70, "returns"], [70, "id1"], [71, "returns"], [71, "id1"], [77, "returns"], [77, "id1"], [290, "returns"], [290, "id1"], [329, "returns"], [329, "id1"], [330, "returns"], [330, "id1"], [336, "returns"], [336, "id1"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering module": [[33, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification module": [[34, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification module": [[35, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification module": [[36, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice module": [[37, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering module": [[38, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification module": [[39, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification module": [[40, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering module": [[41, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification module": [[42, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification module": [[43, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl module": [[44, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice module": [[45, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering module": [[46, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification module": [[47, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification module": [[48, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification module": [[49, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.sentiment_dl module": [[50, "module-sparknlp.annotator.classifier_dl.sentiment_dl"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering module": [[51, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice module": [[52, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering module": [[53, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification module": [[54, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification module": [[55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification module": [[56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification module": [[57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification module": [[58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners package": [[59, "sparknlp-annotator-cleaners-package"]], "sparknlp.annotator.cleaners.cleaner module": [[60, "module-sparknlp.annotator.cleaners.cleaner"]], "sparknlp.annotator.cleaners.extractor module": [[61, "module-sparknlp.annotator.cleaners.extractor"]], "sparknlp.annotator.coref package": [[62, "sparknlp-annotator-coref-package"]], "sparknlp.annotator.coref.spanbert_coref module": [[63, "module-sparknlp.annotator.coref.spanbert_coref"]], "sparknlp.annotator.cv package": [[64, "sparknlp-annotator-cv-package"]], "sparknlp.annotator.cv.blip_for_question_answering module": [[65, "module-sparknlp.annotator.cv.blip_for_question_answering"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification module": [[66, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"]], "sparknlp.annotator.cv.convnext_for_image_classification module": [[67, "module-sparknlp.annotator.cv.convnext_for_image_classification"]], "sparknlp.annotator.cv.florence2_transformer module": [[68, "module-sparknlp.annotator.cv.florence2_transformer"]], "sparknlp.annotator.cv.gemma3_for_multimodal module": [[69, "module-sparknlp.annotator.cv.gemma3_for_multimodal"]], "sparknlp.annotator.cv.internvl_for_multimodal module": [[70, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "References": [[70, "references"], [71, "references"], [77, "references"], [329, "references"], [330, "references"], [336, "references"]], "sparknlp.annotator.cv.janus_for_multimodal module": [[71, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "sparknlp.annotator.cv.llava_for_multimodal module": [[72, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal module": [[73, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "sparknlp.annotator.cv.paligemma_for_multimodal module": [[74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal module": [[75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "sparknlp.annotator.cv.qwen2vl_transformer module": [[76, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "sparknlp.annotator.cv.smolvlm_transformer module": [[77, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "sparknlp.annotator.cv.swin_for_image_classification module": [[78, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning module": [[79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "sparknlp.annotator.cv.vit_for_image_classification module": [[80, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "sparknlp.annotator.dataframe_optimizer module": [[81, "module-sparknlp.annotator.dataframe_optimizer"]], "sparknlp.annotator.date2_chunk module": [[82, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency package": [[83, "sparknlp-annotator-dependency-package"]], "sparknlp.annotator.dependency.dependency_parser module": [[84, "module-sparknlp.annotator.dependency.dependency_parser"]], "sparknlp.annotator.dependency.typed_dependency_parser module": [[85, "module-sparknlp.annotator.dependency.typed_dependency_parser"]], "sparknlp.annotator.document_character_text_splitter module": [[86, "module-sparknlp.annotator.document_character_text_splitter"]], "sparknlp.annotator.document_normalizer module": [[87, "module-sparknlp.annotator.document_normalizer"]], "sparknlp.annotator.document_token_splitter module": [[88, "module-sparknlp.annotator.document_token_splitter"]], "sparknlp.annotator.document_token_splitter_test module": [[89, "sparknlp-annotator-document-token-splitter-test-module"]], "sparknlp.annotator.embeddings package": [[90, "sparknlp-annotator-embeddings-package"]], "sparknlp.annotator.embeddings.albert_embeddings module": [[91, "module-sparknlp.annotator.embeddings.albert_embeddings"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings module": [[92, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"]], "sparknlp.annotator.embeddings.bert_embeddings module": [[93, "module-sparknlp.annotator.embeddings.bert_embeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings module": [[94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "sparknlp.annotator.embeddings.bge_embeddings module": [[95, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings module": [[96, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings module": [[97, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings module": [[98, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings module": [[99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "sparknlp.annotator.embeddings.doc2vec module": [[100, "module-sparknlp.annotator.embeddings.doc2vec"]], "sparknlp.annotator.embeddings.e5_embeddings module": [[101, "module-sparknlp.annotator.embeddings.e5_embeddings"]], "sparknlp.annotator.embeddings.e5v_embeddings module": [[102, "module-sparknlp.annotator.embeddings.e5v_embeddings"]], "sparknlp.annotator.embeddings.elmo_embeddings module": [[103, "module-sparknlp.annotator.embeddings.elmo_embeddings"]], "sparknlp.annotator.embeddings.instructor_embeddings module": [[104, "module-sparknlp.annotator.embeddings.instructor_embeddings"]], "sparknlp.annotator.embeddings.longformer_embeddings module": [[105, "module-sparknlp.annotator.embeddings.longformer_embeddings"]], "sparknlp.annotator.embeddings.minilm_embeddings module": [[106, "module-sparknlp.annotator.embeddings.minilm_embeddings"]], "sparknlp.annotator.embeddings.mpnet_embeddings module": [[107, "module-sparknlp.annotator.embeddings.mpnet_embeddings"]], "sparknlp.annotator.embeddings.mxbai_embeddings module": [[108, "module-sparknlp.annotator.embeddings.mxbai_embeddings"]], "sparknlp.annotator.embeddings.nomic_embeddings module": [[109, "module-sparknlp.annotator.embeddings.nomic_embeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings module": [[110, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings module": [[111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings module": [[112, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings module": [[113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "sparknlp.annotator.embeddings.uae_embeddings module": [[114, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "sparknlp.annotator.embeddings.universal_sentence_encoder module": [[115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "sparknlp.annotator.embeddings.word2vec module": [[116, "module-sparknlp.annotator.embeddings.word2vec"]], "sparknlp.annotator.embeddings.word_embeddings module": [[117, "module-sparknlp.annotator.embeddings.word_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings module": [[118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings module": [[119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings module": [[120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er package": [[121, "sparknlp-annotator-er-package"]], "sparknlp.annotator.er.entity_ruler module": [[122, "module-sparknlp.annotator.er.entity_ruler"]], "sparknlp.annotator.graph_extraction module": [[123, "module-sparknlp.annotator.graph_extraction"]], "sparknlp.annotator.keyword_extraction package": [[124, "sparknlp-annotator-keyword-extraction-package"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction module": [[125, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"]], "sparknlp.annotator.ld_dl package": [[126, "sparknlp-annotator-ld-dl-package"]], "sparknlp.annotator.ld_dl.language_detector_dl module": [[127, "module-sparknlp.annotator.ld_dl.language_detector_dl"]], "sparknlp.annotator.lemmatizer module": [[128, "module-sparknlp.annotator.lemmatizer"]], "sparknlp.annotator.matcher package": [[129, "sparknlp-annotator-matcher-package"]], "sparknlp.annotator.matcher.big_text_matcher module": [[130, "module-sparknlp.annotator.matcher.big_text_matcher"]], "sparknlp.annotator.matcher.date_matcher module": [[131, "module-sparknlp.annotator.matcher.date_matcher"]], "sparknlp.annotator.matcher.multi_date_matcher module": [[132, "module-sparknlp.annotator.matcher.multi_date_matcher"]], "sparknlp.annotator.matcher.regex_matcher module": [[133, "module-sparknlp.annotator.matcher.regex_matcher"]], "sparknlp.annotator.matcher.text_matcher module": [[134, "module-sparknlp.annotator.matcher.text_matcher"]], "sparknlp.annotator.n_gram_generator module": [[135, "module-sparknlp.annotator.n_gram_generator"]], "sparknlp.annotator.ner package": [[136, "sparknlp-annotator-ner-package"]], "sparknlp.annotator.ner.ner_approach module": [[137, "module-sparknlp.annotator.ner.ner_approach"]], "sparknlp.annotator.ner.ner_converter module": [[138, "module-sparknlp.annotator.ner.ner_converter"]], "sparknlp.annotator.ner.ner_crf module": [[139, "module-sparknlp.annotator.ner.ner_crf"]], "sparknlp.annotator.ner.ner_dl module": [[140, "module-sparknlp.annotator.ner.ner_dl"]], "sparknlp.annotator.ner.ner_dl_graph_checker module": [[141, "module-sparknlp.annotator.ner.ner_dl_graph_checker"]], "sparknlp.annotator.ner.ner_overwriter module": [[142, "module-sparknlp.annotator.ner.ner_overwriter"]], "sparknlp.annotator.ner.zero_shot_ner_model module": [[143, "module-sparknlp.annotator.ner.zero_shot_ner_model"]], "sparknlp.annotator.normalizer module": [[144, "module-sparknlp.annotator.normalizer"]], "sparknlp.annotator.openai package": [[145, "sparknlp-annotator-openai-package"]], "sparknlp.annotator.openai.openai_completion module": [[146, "module-sparknlp.annotator.openai.openai_completion"]], "sparknlp.annotator.openai.openai_embeddings module": [[147, "module-sparknlp.annotator.openai.openai_embeddings"]], "sparknlp.annotator.param package": [[148, "sparknlp-annotator-param-package"]], "sparknlp.annotator.param.classifier_encoder module": [[149, "module-sparknlp.annotator.param.classifier_encoder"]], "sparknlp.annotator.param.evaluation_dl_params module": [[150, "module-sparknlp.annotator.param.evaluation_dl_params"]], "sparknlp.annotator.pos package": [[151, "sparknlp-annotator-pos-package"]], "sparknlp.annotator.pos.perceptron module": [[152, "module-sparknlp.annotator.pos.perceptron"]], "sparknlp.annotator.sentence package": [[153, "sparknlp-annotator-sentence-package"]], "sparknlp.annotator.sentence.sentence_detector module": [[154, "module-sparknlp.annotator.sentence.sentence_detector"]], "sparknlp.annotator.sentence.sentence_detector_dl module": [[155, "module-sparknlp.annotator.sentence.sentence_detector_dl"]], "sparknlp.annotator.sentiment package": [[156, "sparknlp-annotator-sentiment-package"]], "sparknlp.annotator.sentiment.sentiment_detector module": [[157, "module-sparknlp.annotator.sentiment.sentiment_detector"]], "sparknlp.annotator.sentiment.vivekn_sentiment module": [[158, "module-sparknlp.annotator.sentiment.vivekn_sentiment"]], "sparknlp.annotator.seq2seq package": [[159, "sparknlp-annotator-seq2seq-package"]], "sparknlp.annotator.seq2seq.auto_gguf_model module": [[160, "module-sparknlp.annotator.seq2seq.auto_gguf_model"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker module": [[161, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model module": [[162, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"]], "sparknlp.annotator.seq2seq.bart_transformer module": [[163, "module-sparknlp.annotator.seq2seq.bart_transformer"]], "sparknlp.annotator.seq2seq.cohere_transformer module": [[164, "module-sparknlp.annotator.seq2seq.cohere_transformer"]], "sparknlp.annotator.seq2seq.cpm_transformer module": [[165, "module-sparknlp.annotator.seq2seq.cpm_transformer"]], "sparknlp.annotator.seq2seq.gpt2_transformer module": [[166, "module-sparknlp.annotator.seq2seq.gpt2_transformer"]], "sparknlp.annotator.seq2seq.llama2_transformer module": [[167, "module-sparknlp.annotator.seq2seq.llama2_transformer"]], "sparknlp.annotator.seq2seq.llama3_transformer module": [[168, "module-sparknlp.annotator.seq2seq.llama3_transformer"]], "sparknlp.annotator.seq2seq.m2m100_transformer module": [[169, "module-sparknlp.annotator.seq2seq.m2m100_transformer"]], "sparknlp.annotator.seq2seq.marian_transformer module": [[170, "module-sparknlp.annotator.seq2seq.marian_transformer"]], "sparknlp.annotator.seq2seq.mistral_transformer module": [[171, "module-sparknlp.annotator.seq2seq.mistral_transformer"]], "sparknlp.annotator.seq2seq.nllb_transformer module": [[172, "module-sparknlp.annotator.seq2seq.nllb_transformer"]], "sparknlp.annotator.seq2seq.olmo_transformer module": [[173, "module-sparknlp.annotator.seq2seq.olmo_transformer"]], "sparknlp.annotator.seq2seq.phi2_transformer module": [[174, "module-sparknlp.annotator.seq2seq.phi2_transformer"]], "sparknlp.annotator.seq2seq.phi3_transformer module": [[175, "module-sparknlp.annotator.seq2seq.phi3_transformer"]], "sparknlp.annotator.seq2seq.phi4_transformer module": [[176, "module-sparknlp.annotator.seq2seq.phi4_transformer"]], "sparknlp.annotator.seq2seq.qwen_transformer module": [[177, "module-sparknlp.annotator.seq2seq.qwen_transformer"]], "sparknlp.annotator.seq2seq.starcoder_transformer module": [[178, "module-sparknlp.annotator.seq2seq.starcoder_transformer"]], "sparknlp.annotator.seq2seq.t5_transformer module": [[179, "module-sparknlp.annotator.seq2seq.t5_transformer"]], "sparknlp.annotator.similarity package": [[180, "sparknlp-annotator-similarity-package"]], "sparknlp.annotator.similarity.document_similarity_ranker module": [[181, "module-sparknlp.annotator.similarity.document_similarity_ranker"]], "sparknlp.annotator.spell_check package": [[182, "sparknlp-annotator-spell-check-package"]], "sparknlp.annotator.spell_check.context_spell_checker module": [[183, "module-sparknlp.annotator.spell_check.context_spell_checker"]], "sparknlp.annotator.spell_check.norvig_sweeting module": [[184, "module-sparknlp.annotator.spell_check.norvig_sweeting"]], "sparknlp.annotator.spell_check.symmetric_delete module": [[185, "module-sparknlp.annotator.spell_check.symmetric_delete"]], "sparknlp.annotator.stemmer module": [[186, "module-sparknlp.annotator.stemmer"]], "sparknlp.annotator.stop_words_cleaner module": [[187, "module-sparknlp.annotator.stop_words_cleaner"]], "sparknlp.annotator.tf_ner_dl_graph_builder module": [[188, "module-sparknlp.annotator.tf_ner_dl_graph_builder"]], "sparknlp.annotator.token package": [[189, "sparknlp-annotator-token-package"]], "sparknlp.annotator.token.chunk_tokenizer module": [[190, "module-sparknlp.annotator.token.chunk_tokenizer"]], "sparknlp.annotator.token.recursive_tokenizer module": [[191, "module-sparknlp.annotator.token.recursive_tokenizer"]], "sparknlp.annotator.token.regex_tokenizer module": [[192, "module-sparknlp.annotator.token.regex_tokenizer"]], "sparknlp.annotator.token.tokenizer module": [[193, "module-sparknlp.annotator.token.tokenizer"]], "sparknlp.annotator.token2_chunk module": [[194, "module-sparknlp.annotator.token2_chunk"]], "sparknlp.annotator.ws package": [[195, "sparknlp-annotator-ws-package"]], "sparknlp.annotator.ws.word_segmenter module": [[196, "module-sparknlp.annotator.ws.word_segmenter"]], "sparknlp.base package": [[197, "sparknlp-base-package"]], "sparknlp.base.audio_assembler module": [[198, "module-sparknlp.base.audio_assembler"]], "sparknlp.base.doc2_chunk module": [[199, "module-sparknlp.base.doc2_chunk"]], "sparknlp.base.document_assembler module": [[200, "module-sparknlp.base.document_assembler"]], "sparknlp.base.embeddings_finisher module": [[201, "module-sparknlp.base.embeddings_finisher"]], "sparknlp.base.finisher module": [[202, "module-sparknlp.base.finisher"]], "sparknlp.base.gguf_ranking_finisher module": [[203, "module-sparknlp.base.gguf_ranking_finisher"]], "sparknlp.base.graph_finisher module": [[204, "module-sparknlp.base.graph_finisher"]], "sparknlp.base.has_recursive_fit module": [[205, "module-sparknlp.base.has_recursive_fit"]], "sparknlp.base.has_recursive_transform module": [[206, "module-sparknlp.base.has_recursive_transform"]], "sparknlp.base.image_assembler module": [[207, "module-sparknlp.base.image_assembler"]], "sparknlp.base.light_pipeline module": [[208, "module-sparknlp.base.light_pipeline"]], "sparknlp.base.multi_document_assembler module": [[209, "module-sparknlp.base.multi_document_assembler"]], "sparknlp.base.prompt_assembler module": [[210, "module-sparknlp.base.prompt_assembler"]], "sparknlp.base.recursive_pipeline module": [[211, "module-sparknlp.base.recursive_pipeline"]], "sparknlp.base.table_assembler module": [[212, "module-sparknlp.base.table_assembler"]], "sparknlp.base.token_assembler module": [[213, "module-sparknlp.base.token_assembler"]], "sparknlp.common package": [[214, "sparknlp-common-package"]], "sparknlp.common.annotator_approach module": [[215, "module-sparknlp.common.annotator_approach"]], "sparknlp.common.annotator_model module": [[216, "module-sparknlp.common.annotator_model"]], "sparknlp.common.annotator_properties module": [[217, "module-sparknlp.common.annotator_properties"]], "sparknlp.common.annotator_type module": [[218, "module-sparknlp.common.annotator_type"]], "sparknlp.common.coverage_result module": [[219, "module-sparknlp.common.coverage_result"]], "sparknlp.common.match_strategy module": [[220, "module-sparknlp.common.match_strategy"]], "sparknlp.common.properties module": [[221, "module-sparknlp.common.properties"]], "sparknlp.common.read_as module": [[222, "module-sparknlp.common.read_as"]], "sparknlp.common.recursive_annotator_approach module": [[223, "module-sparknlp.common.recursive_annotator_approach"]], "sparknlp.common.storage module": [[224, "module-sparknlp.common.storage"]], "sparknlp.common.utils module": [[225, "module-sparknlp.common.utils"]], "sparknlp.functions module": [[226, "module-sparknlp.functions"]], "sparknlp.internal package": [[227, "sparknlp-internal-package"]], "sparknlp.internal.annotator_java_ml module": [[228, "module-sparknlp.internal.annotator_java_ml"]], "sparknlp.internal.annotator_transformer module": [[229, "module-sparknlp.internal.annotator_transformer"]], "sparknlp.internal.extended_java_wrapper module": [[230, "module-sparknlp.internal.extended_java_wrapper"]], "sparknlp.internal.params_getters_setters module": [[231, "module-sparknlp.internal.params_getters_setters"]], "sparknlp.internal.recursive module": [[232, "module-sparknlp.internal.recursive"]], "sparknlp.logging package": [[233, "sparknlp-logging-package"]], "sparknlp.logging.comet module": [[234, "module-sparknlp.logging.comet"]], "sparknlp.partition package": [[235, "sparknlp-partition-package"]], "sparknlp.partition.partition module": [[236, "module-sparknlp.partition.partition"]], "sparknlp.partition.partition_properties module": [[237, "module-sparknlp.partition.partition_properties"]], "ParametersF": [[237, "parametersf"], [498, "parametersf"]], "sparknlp.partition.partition_transformer module": [[238, "module-sparknlp.partition.partition_transformer"]], "sparknlp.pretrained package": [[239, "sparknlp-pretrained-package"]], "sparknlp.pretrained.pretrained_pipeline module": [[240, "module-sparknlp.pretrained.pretrained_pipeline"]], "sparknlp.pretrained.resource_downloader module": [[241, "module-sparknlp.pretrained.resource_downloader"]], "sparknlp.pretrained.utils module": [[242, "module-sparknlp.pretrained.utils"]], "sparknlp.reader package": [[243, "sparknlp-reader-package"]], "sparknlp.reader.enums module": [[244, "module-sparknlp.reader.enums"]], "sparknlp.reader.pdf_to_text module": [[245, "module-sparknlp.reader.pdf_to_text"]], "sparknlp.reader.reader2doc module": [[246, "module-sparknlp.reader.reader2doc"]], "sparknlp.reader.reader2image module": [[247, "module-sparknlp.reader.reader2image"]], "sparknlp.reader.reader2table module": [[248, "module-sparknlp.reader.reader2table"]], "sparknlp.reader.reader_assembler module": [[249, "module-sparknlp.reader.reader_assembler"]], "sparknlp.reader.sparknlp_reader module": [[250, "module-sparknlp.reader.sparknlp_reader"]], "sparknlp.training package": [[251, "sparknlp-training-package"]], "sparknlp.training.conll module": [[252, "module-sparknlp.training.conll"]], "sparknlp.training.conllu module": [[253, "module-sparknlp.training.conllu"]], "sparknlp.training.pos module": [[254, "module-sparknlp.training.pos"]], "sparknlp.training.pub_tator module": [[255, "module-sparknlp.training.pub_tator"]], "sparknlp.training.spacy_to_annotation module": [[256, "module-sparknlp.training.spacy_to_annotation"]], "sparknlp.training.tfgraphs module": [[257, "sparknlp-training-tfgraphs-module"]], "sparknlp.upload_to_hub module": [[258, "module-sparknlp.upload_to_hub"]], "sparknlp.util module": [[259, "module-sparknlp.util"]], "Getting Started": [[260, "getting-started"]], "Spark NLP Cheat Sheet": [[260, "spark-nlp-cheat-sheet"]], "Requirements": [[260, "requirements"]], "Installation": [[260, "installation"], [522, "installation"]], "Using Conda": [[260, "using-conda"]], "Using Virtualenv": [[260, "using-virtualenv"]], "Starting a Spark NLP Session from Python": [[260, "starting-a-spark-nlp-session-from-python"]], "Spark NLP Documentation": [[261, "spark-nlp-documentation"]], "Content": [[261, "content"]], "sparknlp.annotation": [[262, "module-sparknlp.annotation"]], "Module Contents": [[262, "module-contents"], [263, "module-contents"], [264, "module-contents"], [265, "module-contents"], [267, "module-contents"], [268, "module-contents"], [269, "module-contents"], [270, "module-contents"], [271, "module-contents"], [272, "module-contents"], [273, "module-contents"], [274, "module-contents"], [275, "module-contents"], [276, "module-contents"], [277, "module-contents"], [278, "module-contents"], [279, "module-contents"], [280, "module-contents"], [281, "module-contents"], [282, "module-contents"], [283, "module-contents"], [284, "module-contents"], [285, "module-contents"], [286, "module-contents"], [287, "module-contents"], [288, "module-contents"], [289, "module-contents"], [290, "module-contents"], [291, "module-contents"], [292, "module-contents"], [293, "module-contents"], [294, "module-contents"], [295, "module-contents"], [297, "module-contents"], [298, "module-contents"], [299, "module-contents"], [300, "module-contents"], [301, "module-contents"], [302, "module-contents"], [303, "module-contents"], [304, "module-contents"], [305, "module-contents"], [306, "module-contents"], [307, "module-contents"], [308, "module-contents"], [309, "module-contents"], [310, "module-contents"], [311, "module-contents"], [312, "module-contents"], [313, "module-contents"], [314, "module-contents"], [315, "module-contents"], [316, "module-contents"], [317, "module-contents"], [318, "module-contents"], [319, "module-contents"], [322, "module-contents"], [323, "module-contents"], [324, "module-contents"], [325, "module-contents"], [326, "module-contents"], [327, "module-contents"], [329, "module-contents"], [330, "module-contents"], [331, "module-contents"], [332, "module-contents"], [333, "module-contents"], [334, "module-contents"], [335, "module-contents"], [336, "module-contents"], [337, "module-contents"], [338, "module-contents"], [339, "module-contents"], [340, "module-contents"], [341, "module-contents"], [342, "module-contents"], [344, "module-contents"], [345, "module-contents"], [346, "module-contents"], [347, "module-contents"], [348, "module-contents"], [349, "module-contents"], [350, "module-contents"], [351, "module-contents"], [352, "module-contents"], [353, "module-contents"], [354, "module-contents"], [355, "module-contents"], [356, "module-contents"], [357, "module-contents"], [358, "module-contents"], [359, "module-contents"], [360, "module-contents"], [361, "module-contents"], [363, "module-contents"], [364, "module-contents"], [365, "module-contents"], [366, "module-contents"], [367, "module-contents"], [368, "module-contents"], [369, "module-contents"], [370, "module-contents"], [371, "module-contents"], [372, "module-contents"], [373, "module-contents"], [374, "module-contents"], [375, "module-contents"], [376, "module-contents"], [377, "module-contents"], [378, "module-contents"], [379, "module-contents"], [380, "module-contents"], [382, "module-contents"], [385, "module-contents"], [387, "module-contents"], [388, "module-contents"], [389, "module-contents"], [390, "module-contents"], [392, "module-contents"], [393, "module-contents"], [394, "module-contents"], [395, "module-contents"], [397, "module-contents"], [398, "module-contents"], [399, "module-contents"], [400, "module-contents"], [401, "module-contents"], [402, "module-contents"], [403, "module-contents"], [404, "module-contents"], [406, "module-contents"], [407, "module-contents"], [408, "module-contents"], [409, "module-contents"], [412, "module-contents"], [414, "module-contents"], [415, "module-contents"], [417, "module-contents"], [418, "module-contents"], [419, "module-contents"], [420, "module-contents"], [421, "module-contents"], [422, "module-contents"], [423, "module-contents"], [424, "module-contents"], [425, "module-contents"], [427, "module-contents"], [428, "module-contents"], [429, "module-contents"], [430, "module-contents"], [431, "module-contents"], [432, "module-contents"], [433, "module-contents"], [434, "module-contents"], [435, "module-contents"], [436, "module-contents"], [437, "module-contents"], [438, "module-contents"], [439, "module-contents"], [440, "module-contents"], [442, "module-contents"], [444, "module-contents"], [445, "module-contents"], [446, "module-contents"], [447, "module-contents"], [448, "module-contents"], [449, "module-contents"], [451, "module-contents"], [452, "module-contents"], [453, "module-contents"], [454, "module-contents"], [456, "module-contents"], [457, "module-contents"], [458, "module-contents"], [459, "module-contents"], [460, "module-contents"], [461, "module-contents"], [462, "module-contents"], [463, "module-contents"], [464, "module-contents"], [465, "module-contents"], [466, "module-contents"], [468, "module-contents"], [469, "module-contents"], [470, "module-contents"], [471, "module-contents"], [472, "module-contents"], [473, "module-contents"], [474, "module-contents"], [475, "module-contents"], [476, "module-contents"], [477, "module-contents"], [478, "module-contents"], [480, "module-contents"], [481, "module-contents"], [482, "module-contents"], [483, "module-contents"], [484, "module-contents"], [485, "module-contents"], [486, "module-contents"], [488, "module-contents"], [489, "module-contents"], [490, "module-contents"], [492, "module-contents"], [493, "module-contents"], [494, "module-contents"], [497, "module-contents"], [498, "module-contents"], [499, "module-contents"], [501, "module-contents"], [502, "module-contents"], [503, "module-contents"], [504, "module-contents"], [506, "module-contents"], [507, "module-contents"], [508, "module-contents"], [509, "module-contents"], [510, "module-contents"], [511, "module-contents"], [512, "module-contents"], [513, "module-contents"], [515, "module-contents"], [516, "module-contents"], [517, "module-contents"], [518, "module-contents"], [519, "module-contents"], [520, "module-contents"]], "Classes": [[262, "classes"], [263, "classes"], [264, "classes"], [265, "classes"], [267, "classes"], [268, "classes"], [269, "classes"], [270, "classes"], [271, "classes"], [272, "classes"], [273, "classes"], [274, "classes"], [275, "classes"], [276, "classes"], [277, "classes"], [278, "classes"], [279, "classes"], [280, "classes"], [281, "classes"], [282, "classes"], [283, "classes"], [284, "classes"], [285, "classes"], [286, "classes"], [287, "classes"], [288, "classes"], [289, "classes"], [290, "classes"], [291, "classes"], [292, "classes"], [293, "classes"], [294, "classes"], [295, "classes"], [297, "classes"], [298, "classes"], [299, "classes"], [300, "classes"], [301, "classes"], [302, "classes"], [303, "classes"], [304, "classes"], [305, "classes"], [306, "classes"], [307, "classes"], [308, "classes"], [309, "classes"], [310, "classes"], [311, "classes"], [312, "classes"], [313, "classes"], [314, "classes"], [315, "classes"], [316, "classes"], [317, "classes"], [318, "classes"], [319, "classes"], [322, "classes"], [323, "classes"], [324, "classes"], [325, "classes"], [326, "classes"], [327, "classes"], [329, "classes"], [330, "classes"], [331, "classes"], [332, "classes"], [333, "classes"], [334, "classes"], [335, "classes"], [336, "classes"], [337, "classes"], [338, "classes"], [339, "classes"], [340, "classes"], [341, "classes"], [342, "classes"], [344, "classes"], [345, "classes"], [346, "classes"], [347, "classes"], [348, "classes"], [349, "classes"], [350, "classes"], [351, "classes"], [352, "classes"], [353, "classes"], [354, "classes"], [355, "classes"], [356, "classes"], [357, "classes"], [358, "classes"], [359, "classes"], [360, "classes"], [361, "classes"], [363, "classes"], [364, "classes"], [365, "classes"], [366, "classes"], [367, "classes"], [368, "classes"], [369, "classes"], [370, "classes"], [371, "classes"], [372, "classes"], [373, "classes"], [374, "classes"], [375, "classes"], [376, "classes"], [377, "classes"], [378, "classes"], [379, "classes"], [380, "classes"], [382, "classes"], [385, "classes"], [387, "classes"], [388, "classes"], [389, "classes"], [390, "classes"], [392, "classes"], [393, "classes"], [394, "classes"], [395, "classes"], [397, "classes"], [398, "classes"], [399, "classes"], [400, "classes"], [401, "classes"], [402, "classes"], [403, "classes"], [404, "classes"], [406, "classes"], [407, "classes"], [408, "classes"], [409, "classes"], [412, "classes"], [414, "classes"], [415, "classes"], [417, "classes"], [418, "classes"], [419, "classes"], [420, "classes"], [421, "classes"], [422, "classes"], [423, "classes"], [424, "classes"], [425, "classes"], [427, "classes"], [428, "classes"], [429, "classes"], [430, "classes"], [431, "classes"], [432, "classes"], [433, "classes"], [434, "classes"], [435, "classes"], [436, "classes"], [437, "classes"], [438, "classes"], [439, "classes"], [440, "classes"], [442, "classes"], [444, "classes"], [445, "classes"], [446, "classes"], [447, "classes"], [448, "classes"], [449, "classes"], [451, "classes"], [452, "classes"], [453, "classes"], [454, "classes"], [456, "classes"], [457, "classes"], [458, "classes"], [459, "classes"], [460, "classes"], [461, "classes"], [462, "classes"], [463, "classes"], [464, "classes"], [465, "classes"], [466, "classes"], [468, "classes"], [469, "classes"], [470, "classes"], [471, "classes"], [472, "classes"], [473, "classes"], [474, "classes"], [475, "classes"], [476, "classes"], [477, "classes"], [478, "classes"], [480, "classes"], [481, "classes"], [482, "classes"], [483, "classes"], [484, "classes"], [488, "classes"], [489, "classes"], [490, "classes"], [492, "classes"], [493, "classes"], [494, "classes"], [497, "classes"], [498, "classes"], [499, "classes"], [501, "classes"], [502, "classes"], [504, "classes"], [506, "classes"], [507, "classes"], [508, "classes"], [509, "classes"], [510, "classes"], [511, "classes"], [512, "classes"], [513, "classes"], [515, "classes"], [516, "classes"], [517, "classes"], [519, "classes"], [520, "classes"]], "sparknlp.annotation_audio": [[263, "module-sparknlp.annotation_audio"]], "sparknlp.annotation_image": [[264, "module-sparknlp.annotation_image"]], "sparknlp.annotator.audio.hubert_for_ctc": [[265, "module-sparknlp.annotator.audio.hubert_for_ctc"]], "sparknlp.annotator.audio": [[266, "module-sparknlp.annotator.audio"]], "sparknlp.annotator.audio.wav2vec2_for_ctc": [[267, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"]], "sparknlp.annotator.audio.whisper_for_ctc": [[268, "module-sparknlp.annotator.audio.whisper_for_ctc"]], "sparknlp.annotator.chunk2_doc": [[269, "module-sparknlp.annotator.chunk2_doc"]], "sparknlp.annotator.chunker": [[270, "module-sparknlp.annotator.chunker"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice": [[271, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering": [[272, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification": [[273, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification": [[274, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification": [[275, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification": [[276, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice": [[277, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering": [[278, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification": [[279, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification": [[280, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification": [[281, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering": [[282, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification": [[283, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification": [[284, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification": [[285, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.classifier_dl": [[286, "module-sparknlp.annotator.classifier_dl.classifier_dl"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering": [[287, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification": [[288, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification": [[289, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification": [[290, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering": [[291, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification": [[292, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification": [[293, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification": [[294, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice": [[295, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl": [[296, "module-sparknlp.annotator.classifier_dl"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering": [[297, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification": [[298, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification": [[299, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering": [[300, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification": [[301, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification": [[302, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl": [[303, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice": [[304, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering": [[305, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification": [[306, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification": [[307, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification": [[308, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.sentiment_dl": [[309, "module-sparknlp.annotator.classifier_dl.sentiment_dl"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering": [[310, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice": [[311, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering": [[312, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification": [[313, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification": [[314, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification": [[315, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification": [[316, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification": [[317, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners.cleaner": [[318, "module-sparknlp.annotator.cleaners.cleaner"]], "sparknlp.annotator.cleaners.extractor": [[319, "module-sparknlp.annotator.cleaners.extractor"]], "sparknlp.annotator.cleaners": [[320, "module-sparknlp.annotator.cleaners"]], "sparknlp.annotator.coref": [[321, "module-sparknlp.annotator.coref"]], "sparknlp.annotator.coref.spanbert_coref": [[322, "module-sparknlp.annotator.coref.spanbert_coref"]], "sparknlp.annotator.cv.blip_for_question_answering": [[323, "module-sparknlp.annotator.cv.blip_for_question_answering"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification": [[324, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"]], "sparknlp.annotator.cv.convnext_for_image_classification": [[325, "module-sparknlp.annotator.cv.convnext_for_image_classification"]], "sparknlp.annotator.cv.florence2_transformer": [[326, "module-sparknlp.annotator.cv.florence2_transformer"]], "sparknlp.annotator.cv.gemma3_for_multimodal": [[327, "module-sparknlp.annotator.cv.gemma3_for_multimodal"]], "sparknlp.annotator.cv": [[328, "module-sparknlp.annotator.cv"]], "sparknlp.annotator.cv.internvl_for_multimodal": [[329, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "sparknlp.annotator.cv.janus_for_multimodal": [[330, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "sparknlp.annotator.cv.llava_for_multimodal": [[331, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal": [[332, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "sparknlp.annotator.cv.paligemma_for_multimodal": [[333, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal": [[334, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "sparknlp.annotator.cv.qwen2vl_transformer": [[335, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "sparknlp.annotator.cv.smolvlm_transformer": [[336, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "sparknlp.annotator.cv.swin_for_image_classification": [[337, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning": [[338, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "sparknlp.annotator.cv.vit_for_image_classification": [[339, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "sparknlp.annotator.dataframe_optimizer": [[340, "module-sparknlp.annotator.dataframe_optimizer"]], "Functions": [[340, "functions"], [485, "functions"], [486, "functions"], [487, "functions"], [503, "functions"], [520, "functions"]], "sparknlp.annotator.date2_chunk": [[341, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency.dependency_parser": [[342, "module-sparknlp.annotator.dependency.dependency_parser"]], "sparknlp.annotator.dependency": [[343, "module-sparknlp.annotator.dependency"]], "sparknlp.annotator.dependency.typed_dependency_parser": [[344, "module-sparknlp.annotator.dependency.typed_dependency_parser"]], "sparknlp.annotator.document_character_text_splitter": [[345, "module-sparknlp.annotator.document_character_text_splitter"]], "sparknlp.annotator.document_normalizer": [[346, "module-sparknlp.annotator.document_normalizer"]], "sparknlp.annotator.document_token_splitter": [[347, "module-sparknlp.annotator.document_token_splitter"]], "sparknlp.annotator.document_token_splitter_test": [[348, "module-sparknlp.annotator.document_token_splitter_test"]], "sparknlp.annotator.embeddings.albert_embeddings": [[349, "module-sparknlp.annotator.embeddings.albert_embeddings"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings": [[350, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"]], "sparknlp.annotator.embeddings.bert_embeddings": [[351, "module-sparknlp.annotator.embeddings.bert_embeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings": [[352, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "sparknlp.annotator.embeddings.bge_embeddings": [[353, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings": [[354, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings": [[355, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings": [[356, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings": [[357, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "sparknlp.annotator.embeddings.doc2vec": [[358, "module-sparknlp.annotator.embeddings.doc2vec"]], "sparknlp.annotator.embeddings.e5_embeddings": [[359, "module-sparknlp.annotator.embeddings.e5_embeddings"]], "sparknlp.annotator.embeddings.e5v_embeddings": [[360, "module-sparknlp.annotator.embeddings.e5v_embeddings"]], "sparknlp.annotator.embeddings.elmo_embeddings": [[361, "module-sparknlp.annotator.embeddings.elmo_embeddings"]], "sparknlp.annotator.embeddings": [[362, "module-sparknlp.annotator.embeddings"]], "sparknlp.annotator.embeddings.instructor_embeddings": [[363, "module-sparknlp.annotator.embeddings.instructor_embeddings"]], "sparknlp.annotator.embeddings.longformer_embeddings": [[364, "module-sparknlp.annotator.embeddings.longformer_embeddings"]], "sparknlp.annotator.embeddings.minilm_embeddings": [[365, "module-sparknlp.annotator.embeddings.minilm_embeddings"]], "sparknlp.annotator.embeddings.mpnet_embeddings": [[366, "module-sparknlp.annotator.embeddings.mpnet_embeddings"]], "sparknlp.annotator.embeddings.mxbai_embeddings": [[367, "module-sparknlp.annotator.embeddings.mxbai_embeddings"]], "sparknlp.annotator.embeddings.nomic_embeddings": [[368, "module-sparknlp.annotator.embeddings.nomic_embeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings": [[369, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings": [[370, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings": [[371, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings": [[372, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "sparknlp.annotator.embeddings.uae_embeddings": [[373, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "sparknlp.annotator.embeddings.universal_sentence_encoder": [[374, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "sparknlp.annotator.embeddings.word2vec": [[375, "module-sparknlp.annotator.embeddings.word2vec"]], "sparknlp.annotator.embeddings.word_embeddings": [[376, "module-sparknlp.annotator.embeddings.word_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings": [[377, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings": [[378, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings": [[379, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er.entity_ruler": [[380, "module-sparknlp.annotator.er.entity_ruler"]], "sparknlp.annotator.er": [[381, "module-sparknlp.annotator.er"]], "sparknlp.annotator.graph_extraction": [[382, "module-sparknlp.annotator.graph_extraction"]], "sparknlp.annotator": [[383, "module-sparknlp.annotator"]], "Package Contents": [[383, "package-contents"], [487, "package-contents"]], "sparknlp.annotator.keyword_extraction": [[384, "module-sparknlp.annotator.keyword_extraction"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction": [[385, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"]], "sparknlp.annotator.ld_dl": [[386, "module-sparknlp.annotator.ld_dl"]], "sparknlp.annotator.ld_dl.language_detector_dl": [[387, "module-sparknlp.annotator.ld_dl.language_detector_dl"]], "sparknlp.annotator.lemmatizer": [[388, "module-sparknlp.annotator.lemmatizer"]], "sparknlp.annotator.matcher.big_text_matcher": [[389, "module-sparknlp.annotator.matcher.big_text_matcher"]], "sparknlp.annotator.matcher.date_matcher": [[390, "module-sparknlp.annotator.matcher.date_matcher"]], "sparknlp.annotator.matcher": [[391, "module-sparknlp.annotator.matcher"]], "sparknlp.annotator.matcher.multi_date_matcher": [[392, "module-sparknlp.annotator.matcher.multi_date_matcher"]], "sparknlp.annotator.matcher.regex_matcher": [[393, "module-sparknlp.annotator.matcher.regex_matcher"]], "sparknlp.annotator.matcher.text_matcher": [[394, "module-sparknlp.annotator.matcher.text_matcher"]], "sparknlp.annotator.n_gram_generator": [[395, "module-sparknlp.annotator.n_gram_generator"]], "sparknlp.annotator.ner": [[396, "module-sparknlp.annotator.ner"]], "sparknlp.annotator.ner.ner_approach": [[397, "module-sparknlp.annotator.ner.ner_approach"]], "sparknlp.annotator.ner.ner_converter": [[398, "module-sparknlp.annotator.ner.ner_converter"]], "sparknlp.annotator.ner.ner_crf": [[399, "module-sparknlp.annotator.ner.ner_crf"]], "sparknlp.annotator.ner.ner_dl": [[400, "module-sparknlp.annotator.ner.ner_dl"]], "sparknlp.annotator.ner.ner_dl_graph_checker": [[401, "module-sparknlp.annotator.ner.ner_dl_graph_checker"]], "sparknlp.annotator.ner.ner_overwriter": [[402, "module-sparknlp.annotator.ner.ner_overwriter"]], "sparknlp.annotator.ner.zero_shot_ner_model": [[403, "module-sparknlp.annotator.ner.zero_shot_ner_model"]], "sparknlp.annotator.normalizer": [[404, "module-sparknlp.annotator.normalizer"]], "sparknlp.annotator.openai": [[405, "module-sparknlp.annotator.openai"]], "sparknlp.annotator.openai.openai_completion": [[406, "module-sparknlp.annotator.openai.openai_completion"]], "sparknlp.annotator.openai.openai_embeddings": [[407, "module-sparknlp.annotator.openai.openai_embeddings"]], "sparknlp.annotator.param.classifier_encoder": [[408, "module-sparknlp.annotator.param.classifier_encoder"]], "sparknlp.annotator.param.evaluation_dl_params": [[409, "module-sparknlp.annotator.param.evaluation_dl_params"]], "sparknlp.annotator.param": [[410, "module-sparknlp.annotator.param"]], "sparknlp.annotator.pos": [[411, "module-sparknlp.annotator.pos"]], "sparknlp.annotator.pos.perceptron": [[412, "module-sparknlp.annotator.pos.perceptron"]], "sparknlp.annotator.sentence": [[413, "module-sparknlp.annotator.sentence"]], "sparknlp.annotator.sentence.sentence_detector": [[414, "module-sparknlp.annotator.sentence.sentence_detector"]], "sparknlp.annotator.sentence.sentence_detector_dl": [[415, "module-sparknlp.annotator.sentence.sentence_detector_dl"]], "sparknlp.annotator.sentiment": [[416, "module-sparknlp.annotator.sentiment"]], "sparknlp.annotator.sentiment.sentiment_detector": [[417, "module-sparknlp.annotator.sentiment.sentiment_detector"]], "sparknlp.annotator.sentiment.vivekn_sentiment": [[418, "module-sparknlp.annotator.sentiment.vivekn_sentiment"]], "sparknlp.annotator.seq2seq.auto_gguf_model": [[419, "module-sparknlp.annotator.seq2seq.auto_gguf_model"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker": [[420, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model": [[421, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"]], "sparknlp.annotator.seq2seq.bart_transformer": [[422, "module-sparknlp.annotator.seq2seq.bart_transformer"]], "sparknlp.annotator.seq2seq.cohere_transformer": [[423, "module-sparknlp.annotator.seq2seq.cohere_transformer"]], "sparknlp.annotator.seq2seq.cpm_transformer": [[424, "module-sparknlp.annotator.seq2seq.cpm_transformer"]], "sparknlp.annotator.seq2seq.gpt2_transformer": [[425, "module-sparknlp.annotator.seq2seq.gpt2_transformer"]], "sparknlp.annotator.seq2seq": [[426, "module-sparknlp.annotator.seq2seq"]], "sparknlp.annotator.seq2seq.llama2_transformer": [[427, "module-sparknlp.annotator.seq2seq.llama2_transformer"]], "sparknlp.annotator.seq2seq.llama3_transformer": [[428, "module-sparknlp.annotator.seq2seq.llama3_transformer"]], "sparknlp.annotator.seq2seq.m2m100_transformer": [[429, "module-sparknlp.annotator.seq2seq.m2m100_transformer"]], "sparknlp.annotator.seq2seq.marian_transformer": [[430, "module-sparknlp.annotator.seq2seq.marian_transformer"]], "sparknlp.annotator.seq2seq.mistral_transformer": [[431, "module-sparknlp.annotator.seq2seq.mistral_transformer"]], "sparknlp.annotator.seq2seq.nllb_transformer": [[432, "module-sparknlp.annotator.seq2seq.nllb_transformer"]], "sparknlp.annotator.seq2seq.olmo_transformer": [[433, "module-sparknlp.annotator.seq2seq.olmo_transformer"]], "sparknlp.annotator.seq2seq.phi2_transformer": [[434, "module-sparknlp.annotator.seq2seq.phi2_transformer"]], "sparknlp.annotator.seq2seq.phi3_transformer": [[435, "module-sparknlp.annotator.seq2seq.phi3_transformer"]], "sparknlp.annotator.seq2seq.phi4_transformer": [[436, "module-sparknlp.annotator.seq2seq.phi4_transformer"]], "sparknlp.annotator.seq2seq.qwen_transformer": [[437, "module-sparknlp.annotator.seq2seq.qwen_transformer"]], "sparknlp.annotator.seq2seq.starcoder_transformer": [[438, "module-sparknlp.annotator.seq2seq.starcoder_transformer"]], "sparknlp.annotator.seq2seq.t5_transformer": [[439, "module-sparknlp.annotator.seq2seq.t5_transformer"]], "sparknlp.annotator.similarity.document_similarity_ranker": [[440, "module-sparknlp.annotator.similarity.document_similarity_ranker"]], "sparknlp.annotator.similarity": [[441, "module-sparknlp.annotator.similarity"]], "sparknlp.annotator.spell_check.context_spell_checker": [[442, "module-sparknlp.annotator.spell_check.context_spell_checker"]], "sparknlp.annotator.spell_check": [[443, "module-sparknlp.annotator.spell_check"]], "sparknlp.annotator.spell_check.norvig_sweeting": [[444, "module-sparknlp.annotator.spell_check.norvig_sweeting"]], "sparknlp.annotator.spell_check.symmetric_delete": [[445, "module-sparknlp.annotator.spell_check.symmetric_delete"]], "sparknlp.annotator.stemmer": [[446, "module-sparknlp.annotator.stemmer"]], "sparknlp.annotator.stop_words_cleaner": [[447, "module-sparknlp.annotator.stop_words_cleaner"]], "sparknlp.annotator.tf_ner_dl_graph_builder": [[448, "module-sparknlp.annotator.tf_ner_dl_graph_builder"]], "sparknlp.annotator.token.chunk_tokenizer": [[449, "module-sparknlp.annotator.token.chunk_tokenizer"]], "sparknlp.annotator.token": [[450, "module-sparknlp.annotator.token"]], "sparknlp.annotator.token.recursive_tokenizer": [[451, "module-sparknlp.annotator.token.recursive_tokenizer"]], "sparknlp.annotator.token.regex_tokenizer": [[452, "module-sparknlp.annotator.token.regex_tokenizer"]], "sparknlp.annotator.token.tokenizer": [[453, "module-sparknlp.annotator.token.tokenizer"]], "sparknlp.annotator.token2_chunk": [[454, "module-sparknlp.annotator.token2_chunk"]], "sparknlp.annotator.ws": [[455, "module-sparknlp.annotator.ws"]], "sparknlp.annotator.ws.word_segmenter": [[456, "module-sparknlp.annotator.ws.word_segmenter"]], "sparknlp.base.audio_assembler": [[457, "module-sparknlp.base.audio_assembler"]], "sparknlp.base.doc2_chunk": [[458, "module-sparknlp.base.doc2_chunk"]], "sparknlp.base.document_assembler": [[459, "module-sparknlp.base.document_assembler"]], "sparknlp.base.embeddings_finisher": [[460, "module-sparknlp.base.embeddings_finisher"]], "sparknlp.base.finisher": [[461, "module-sparknlp.base.finisher"]], "sparknlp.base.gguf_ranking_finisher": [[462, "module-sparknlp.base.gguf_ranking_finisher"]], "sparknlp.base.graph_finisher": [[463, "module-sparknlp.base.graph_finisher"]], "sparknlp.base.has_recursive_fit": [[464, "module-sparknlp.base.has_recursive_fit"]], "sparknlp.base.has_recursive_transform": [[465, "module-sparknlp.base.has_recursive_transform"]], "sparknlp.base.image_assembler": [[466, "module-sparknlp.base.image_assembler"]], "sparknlp.base": [[467, "module-sparknlp.base"]], "sparknlp.base.light_pipeline": [[468, "module-sparknlp.base.light_pipeline"]], "sparknlp.base.multi_document_assembler": [[469, "module-sparknlp.base.multi_document_assembler"]], "sparknlp.base.prompt_assembler": [[470, "module-sparknlp.base.prompt_assembler"]], "sparknlp.base.recursive_pipeline": [[471, "module-sparknlp.base.recursive_pipeline"]], "sparknlp.base.table_assembler": [[472, "module-sparknlp.base.table_assembler"]], "sparknlp.base.token_assembler": [[473, "module-sparknlp.base.token_assembler"]], "sparknlp.common.annotator_approach": [[474, "module-sparknlp.common.annotator_approach"]], "sparknlp.common.annotator_model": [[475, "module-sparknlp.common.annotator_model"]], "sparknlp.common.annotator_properties": [[476, "module-sparknlp.common.annotator_properties"]], "sparknlp.common.annotator_type": [[477, "module-sparknlp.common.annotator_type"]], "sparknlp.common.coverage_result": [[478, "module-sparknlp.common.coverage_result"]], "sparknlp.common": [[479, "module-sparknlp.common"]], "sparknlp.common.match_strategy": [[480, "module-sparknlp.common.match_strategy"]], "sparknlp.common.properties": [[481, "module-sparknlp.common.properties"]], "sparknlp.common.read_as": [[482, "module-sparknlp.common.read_as"]], "sparknlp.common.recursive_annotator_approach": [[483, "module-sparknlp.common.recursive_annotator_approach"]], "sparknlp.common.storage": [[484, "module-sparknlp.common.storage"]], "sparknlp.common.utils": [[485, "module-sparknlp.common.utils"]], "sparknlp.functions": [[486, "module-sparknlp.functions"]], "Attributes": [[487, "attributes"], [494, "attributes"]], "sparknlp.internal.annotator_java_ml": [[488, "module-sparknlp.internal.annotator_java_ml"]], "sparknlp.internal.annotator_transformer": [[489, "module-sparknlp.internal.annotator_transformer"]], "sparknlp.internal.extended_java_wrapper": [[490, "module-sparknlp.internal.extended_java_wrapper"]], "sparknlp.internal": [[491, "module-sparknlp.internal"]], "sparknlp.internal.params_getters_setters": [[492, "module-sparknlp.internal.params_getters_setters"]], "sparknlp.internal.recursive": [[493, "module-sparknlp.internal.recursive"]], "sparknlp.logging.comet": [[494, "module-sparknlp.logging.comet"]], "sparknlp.logging": [[495, "module-sparknlp.logging"]], "sparknlp.partition": [[496, "module-sparknlp.partition"]], "sparknlp.partition.partition": [[497, "module-sparknlp.partition.partition"]], "sparknlp.partition.partition_properties": [[498, "module-sparknlp.partition.partition_properties"]], "sparknlp.partition.partition_transformer": [[499, "module-sparknlp.partition.partition_transformer"]], "sparknlp.pretrained": [[500, "module-sparknlp.pretrained"]], "sparknlp.pretrained.pretrained_pipeline": [[501, "module-sparknlp.pretrained.pretrained_pipeline"]], "sparknlp.pretrained.resource_downloader": [[502, "module-sparknlp.pretrained.resource_downloader"]], "sparknlp.pretrained.utils": [[503, "module-sparknlp.pretrained.utils"]], "sparknlp.reader.enums": [[504, "module-sparknlp.reader.enums"]], "sparknlp.reader": [[505, "module-sparknlp.reader"]], "sparknlp.reader.pdf_to_text": [[506, "module-sparknlp.reader.pdf_to_text"]], "sparknlp.reader.reader2doc": [[507, "module-sparknlp.reader.reader2doc"]], "sparknlp.reader.reader2image": [[508, "module-sparknlp.reader.reader2image"]], "sparknlp.reader.reader2table": [[509, "module-sparknlp.reader.reader2table"]], "sparknlp.reader.reader_assembler": [[510, "module-sparknlp.reader.reader_assembler"]], "sparknlp.reader.sparknlp_reader": [[511, "module-sparknlp.reader.sparknlp_reader"]], "sparknlp.training.conll": [[512, "module-sparknlp.training.conll"]], "sparknlp.training.conllu": [[513, "module-sparknlp.training.conllu"]], "sparknlp.training": [[514, "module-sparknlp.training"]], "sparknlp.training.pos": [[515, "module-sparknlp.training.pos"]], "sparknlp.training.pub_tator": [[516, "module-sparknlp.training.pub_tator"]], "sparknlp.training.spacy_to_annotation": [[517, "module-sparknlp.training.spacy_to_annotation"]], "sparknlp.training.tfgraphs": [[518, "module-sparknlp.training.tfgraphs"]], "sparknlp.upload_to_hub": [[519, "module-sparknlp.upload_to_hub"]], "sparknlp.util": [[520, "module-sparknlp.util"]], "API Reference": [[521, "api-reference"]], "Modules": [[521, "modules"]], "Comet - A meta machine learning platform": [[522, "comet-a-meta-machine-learning-platform"]], "Using Comet with Spark NLP": [[522, "using-comet-with-spark-nlp"]], "Logging Pipeline Parameters": [[522, "logging-pipeline-parameters"]], "Logging Evaluation Metrics": [[522, "logging-evaluation-metrics"]], "Logging Visualizations": [[522, "logging-visualizations"]], "Running An Offline Experiment": [[522, "running-an-offline-experiment"]], "MLflow - a platform for the machine learning lifecycle": [[523, "mlflow-a-platform-for-the-machine-learning-lifecycle"]], "Third Party Projects": [[524, "third-party-projects"]], "Logging": [[524, "logging"]], "Annotation": [[525, "annotation"]], "Annotators": [[526, "annotators"]], "Annotator Approaches": [[526, "annotator-approaches"]], "Annotator Models": [[526, "annotator-models"]], "Note": [[526, "note"]], "Pretrained Models": [[526, "pretrained-models"]], "Common Functions": [[526, "common-functions"]], "Available Annotators": [[526, "available-annotators"]], "Setting up your own pipeline": [[527, "setting-up-your-own-pipeline"]], "Annotator types": [[527, "annotator-types"]], "Necessary imports": [[527, "necessary-imports"]], "Constructing the Pipeline": [[527, "constructing-the-pipeline"]], "DocumentAssembler: Getting data in": [[527, "documentassembler-getting-data-in"]], "Sentence detection and tokenization": [[527, "sentence-detection-and-tokenization"]], "Finisher: Getting data out": [[527, "finisher-getting-data-out"]], "Putting it all together as a Spark ML Pipeline": [[527, "putting-it-all-together-as-a-spark-ml-pipeline"]], "Helper Functions": [[528, "helper-functions"]], "User Guide": [[529, "user-guide"]], "Light Pipelines": [[530, "light-pipelines"]], "Converting PipelineModels": [[530, "converting-pipelinemodels"]], "Pretrained Light Pipelines": [[530, "pretrained-light-pipelines"]], "Pretrained Pipelines": [[531, "pretrained-pipelines"]], "Downloading and using a pretrained pipeline": [[531, "downloading-and-using-a-pretrained-pipeline"]], "As a Spark ML Pipeline": [[531, "as-a-spark-ml-pipeline"]], "As a Spark NLP LightPipeline": [[531, "as-a-spark-nlp-lightpipeline"]], "Available Pipelines": [[531, "available-pipelines"]], "Loading datasets for training": [[532, "loading-datasets-for-training"]], "POS Dataset": [[532, "pos-dataset"]], "CoNLL Dataset": [[532, "conll-dataset"]], "CoNLLU Dataset": [[532, "conllu-dataset"]], "Spell Checkers Dataset": [[532, "spell-checkers-dataset"]], "PubTator Dataset": [[532, "pubtator-dataset"]]}, "indexentries": {"module": [[1, "module-sparknlp"], [2, "module-sparknlp.annotation"], [3, "module-sparknlp.annotation_audio"], [4, "module-sparknlp.annotation_image"], [5, "module-sparknlp.annotator"], [6, "module-sparknlp.annotator.audio"], [7, "module-sparknlp.annotator.audio.hubert_for_ctc"], [8, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"], [9, "module-sparknlp.annotator.audio.whisper_for_ctc"], [10, "module-sparknlp.annotator.chunk2_doc"], [11, "module-sparknlp.annotator.chunker"], [12, "module-sparknlp.annotator.classifier_dl"], [13, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"], [14, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"], [15, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"], [16, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"], [17, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"], [18, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"], [19, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"], [20, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"], [21, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"], [22, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"], [23, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"], [24, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"], [25, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"], [26, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"], [27, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"], [28, "module-sparknlp.annotator.classifier_dl.classifier_dl"], [29, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"], [30, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"], [31, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"], [32, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"], [33, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"], [34, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"], [35, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"], [36, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"], [37, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"], [38, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"], [39, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"], [40, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"], [41, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"], [42, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"], [43, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"], [44, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"], [45, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"], [46, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"], [47, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"], [48, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"], [49, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"], [50, "module-sparknlp.annotator.classifier_dl.sentiment_dl"], [51, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"], [52, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"], [53, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"], [54, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"], [55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"], [56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"], [57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"], [58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"], [59, "module-sparknlp.annotator.cleaners"], [60, "module-sparknlp.annotator.cleaners.cleaner"], [61, "module-sparknlp.annotator.cleaners.extractor"], [62, "module-sparknlp.annotator.coref"], [63, "module-sparknlp.annotator.coref.spanbert_coref"], [64, "module-sparknlp.annotator.cv"], [65, "module-sparknlp.annotator.cv.blip_for_question_answering"], [66, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"], [67, "module-sparknlp.annotator.cv.convnext_for_image_classification"], [68, "module-sparknlp.annotator.cv.florence2_transformer"], [69, "module-sparknlp.annotator.cv.gemma3_for_multimodal"], [70, "module-sparknlp.annotator.cv.internvl_for_multimodal"], [71, "module-sparknlp.annotator.cv.janus_for_multimodal"], [72, "module-sparknlp.annotator.cv.llava_for_multimodal"], [73, "module-sparknlp.annotator.cv.mllama_for_multimodal"], [74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"], [75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"], [76, "module-sparknlp.annotator.cv.qwen2vl_transformer"], [77, "module-sparknlp.annotator.cv.smolvlm_transformer"], [78, "module-sparknlp.annotator.cv.swin_for_image_classification"], [79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"], [80, "module-sparknlp.annotator.cv.vit_for_image_classification"], [81, "module-sparknlp.annotator.dataframe_optimizer"], [82, "module-sparknlp.annotator.date2_chunk"], [83, "module-sparknlp.annotator.dependency"], [84, "module-sparknlp.annotator.dependency.dependency_parser"], [85, "module-sparknlp.annotator.dependency.typed_dependency_parser"], [86, "module-sparknlp.annotator.document_character_text_splitter"], [87, "module-sparknlp.annotator.document_normalizer"], [88, "module-sparknlp.annotator.document_token_splitter"], [90, "module-sparknlp.annotator.embeddings"], [91, "module-sparknlp.annotator.embeddings.albert_embeddings"], [92, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"], [93, "module-sparknlp.annotator.embeddings.bert_embeddings"], [94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"], [95, "module-sparknlp.annotator.embeddings.bge_embeddings"], [96, "module-sparknlp.annotator.embeddings.camembert_embeddings"], [97, "module-sparknlp.annotator.embeddings.chunk_embeddings"], [98, "module-sparknlp.annotator.embeddings.deberta_embeddings"], [99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"], [100, "module-sparknlp.annotator.embeddings.doc2vec"], [101, "module-sparknlp.annotator.embeddings.e5_embeddings"], [102, "module-sparknlp.annotator.embeddings.e5v_embeddings"], [103, "module-sparknlp.annotator.embeddings.elmo_embeddings"], [104, "module-sparknlp.annotator.embeddings.instructor_embeddings"], [105, "module-sparknlp.annotator.embeddings.longformer_embeddings"], [106, "module-sparknlp.annotator.embeddings.minilm_embeddings"], [107, "module-sparknlp.annotator.embeddings.mpnet_embeddings"], [108, "module-sparknlp.annotator.embeddings.mxbai_embeddings"], [109, "module-sparknlp.annotator.embeddings.nomic_embeddings"], [110, "module-sparknlp.annotator.embeddings.roberta_embeddings"], [111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"], [112, "module-sparknlp.annotator.embeddings.sentence_embeddings"], [113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"], [114, "module-sparknlp.annotator.embeddings.uae_embeddings"], [115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"], [116, "module-sparknlp.annotator.embeddings.word2vec"], [117, "module-sparknlp.annotator.embeddings.word_embeddings"], [118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"], [119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"], [120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"], [121, "module-sparknlp.annotator.er"], [122, "module-sparknlp.annotator.er.entity_ruler"], [123, "module-sparknlp.annotator.graph_extraction"], [124, "module-sparknlp.annotator.keyword_extraction"], [125, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"], [126, "module-sparknlp.annotator.ld_dl"], [127, "module-sparknlp.annotator.ld_dl.language_detector_dl"], [128, "module-sparknlp.annotator.lemmatizer"], [129, "module-sparknlp.annotator.matcher"], [130, "module-sparknlp.annotator.matcher.big_text_matcher"], [131, "module-sparknlp.annotator.matcher.date_matcher"], [132, "module-sparknlp.annotator.matcher.multi_date_matcher"], [133, "module-sparknlp.annotator.matcher.regex_matcher"], [134, "module-sparknlp.annotator.matcher.text_matcher"], [135, "module-sparknlp.annotator.n_gram_generator"], [136, "module-sparknlp.annotator.ner"], [137, "module-sparknlp.annotator.ner.ner_approach"], [138, "module-sparknlp.annotator.ner.ner_converter"], [139, "module-sparknlp.annotator.ner.ner_crf"], [140, "module-sparknlp.annotator.ner.ner_dl"], [141, "module-sparknlp.annotator.ner.ner_dl_graph_checker"], [142, "module-sparknlp.annotator.ner.ner_overwriter"], [143, "module-sparknlp.annotator.ner.zero_shot_ner_model"], [144, "module-sparknlp.annotator.normalizer"], [145, "module-sparknlp.annotator.openai"], [146, "module-sparknlp.annotator.openai.openai_completion"], [147, "module-sparknlp.annotator.openai.openai_embeddings"], [148, "module-sparknlp.annotator.param"], [149, "module-sparknlp.annotator.param.classifier_encoder"], [150, "module-sparknlp.annotator.param.evaluation_dl_params"], [151, "module-sparknlp.annotator.pos"], [152, "module-sparknlp.annotator.pos.perceptron"], [153, "module-sparknlp.annotator.sentence"], [154, "module-sparknlp.annotator.sentence.sentence_detector"], [155, "module-sparknlp.annotator.sentence.sentence_detector_dl"], [156, "module-sparknlp.annotator.sentiment"], [157, "module-sparknlp.annotator.sentiment.sentiment_detector"], [158, "module-sparknlp.annotator.sentiment.vivekn_sentiment"], [159, "module-sparknlp.annotator.seq2seq"], [160, "module-sparknlp.annotator.seq2seq.auto_gguf_model"], [161, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"], [162, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"], [163, "module-sparknlp.annotator.seq2seq.bart_transformer"], [164, "module-sparknlp.annotator.seq2seq.cohere_transformer"], [165, "module-sparknlp.annotator.seq2seq.cpm_transformer"], [166, "module-sparknlp.annotator.seq2seq.gpt2_transformer"], [167, "module-sparknlp.annotator.seq2seq.llama2_transformer"], [168, "module-sparknlp.annotator.seq2seq.llama3_transformer"], [169, "module-sparknlp.annotator.seq2seq.m2m100_transformer"], [170, "module-sparknlp.annotator.seq2seq.marian_transformer"], [171, "module-sparknlp.annotator.seq2seq.mistral_transformer"], [172, "module-sparknlp.annotator.seq2seq.nllb_transformer"], [173, "module-sparknlp.annotator.seq2seq.olmo_transformer"], [174, "module-sparknlp.annotator.seq2seq.phi2_transformer"], [175, "module-sparknlp.annotator.seq2seq.phi3_transformer"], [176, "module-sparknlp.annotator.seq2seq.phi4_transformer"], [177, "module-sparknlp.annotator.seq2seq.qwen_transformer"], [178, "module-sparknlp.annotator.seq2seq.starcoder_transformer"], [179, "module-sparknlp.annotator.seq2seq.t5_transformer"], [180, "module-sparknlp.annotator.similarity"], [181, "module-sparknlp.annotator.similarity.document_similarity_ranker"], [182, "module-sparknlp.annotator.spell_check"], [183, "module-sparknlp.annotator.spell_check.context_spell_checker"], [184, "module-sparknlp.annotator.spell_check.norvig_sweeting"], [185, "module-sparknlp.annotator.spell_check.symmetric_delete"], [186, "module-sparknlp.annotator.stemmer"], [187, "module-sparknlp.annotator.stop_words_cleaner"], [188, "module-sparknlp.annotator.tf_ner_dl_graph_builder"], [189, "module-sparknlp.annotator.token"], [190, "module-sparknlp.annotator.token.chunk_tokenizer"], [191, "module-sparknlp.annotator.token.recursive_tokenizer"], [192, "module-sparknlp.annotator.token.regex_tokenizer"], [193, "module-sparknlp.annotator.token.tokenizer"], [194, "module-sparknlp.annotator.token2_chunk"], [195, "module-sparknlp.annotator.ws"], [196, "module-sparknlp.annotator.ws.word_segmenter"], [197, "module-sparknlp.base"], [198, "module-sparknlp.base.audio_assembler"], [199, "module-sparknlp.base.doc2_chunk"], [200, "module-sparknlp.base.document_assembler"], [201, "module-sparknlp.base.embeddings_finisher"], [202, "module-sparknlp.base.finisher"], [203, "module-sparknlp.base.gguf_ranking_finisher"], [204, "module-sparknlp.base.graph_finisher"], [205, "module-sparknlp.base.has_recursive_fit"], [206, "module-sparknlp.base.has_recursive_transform"], [207, "module-sparknlp.base.image_assembler"], [208, "module-sparknlp.base.light_pipeline"], [209, "module-sparknlp.base.multi_document_assembler"], [210, "module-sparknlp.base.prompt_assembler"], [211, "module-sparknlp.base.recursive_pipeline"], [212, "module-sparknlp.base.table_assembler"], [213, "module-sparknlp.base.token_assembler"], [214, "module-sparknlp.common"], [215, "module-sparknlp.common.annotator_approach"], [216, "module-sparknlp.common.annotator_model"], [217, "module-sparknlp.common.annotator_properties"], [218, "module-sparknlp.common.annotator_type"], [219, "module-sparknlp.common.coverage_result"], [220, "module-sparknlp.common.match_strategy"], [221, "module-sparknlp.common.properties"], [222, "module-sparknlp.common.read_as"], [223, "module-sparknlp.common.recursive_annotator_approach"], [224, "module-sparknlp.common.storage"], [225, "module-sparknlp.common.utils"], [226, "module-sparknlp.functions"], [227, "module-sparknlp.internal"], [228, "module-sparknlp.internal.annotator_java_ml"], [229, "module-sparknlp.internal.annotator_transformer"], [230, "module-sparknlp.internal.extended_java_wrapper"], [231, "module-sparknlp.internal.params_getters_setters"], [232, "module-sparknlp.internal.recursive"], [233, "module-sparknlp.logging"], [234, "module-sparknlp.logging.comet"], [235, "module-sparknlp.partition"], [236, "module-sparknlp.partition.partition"], [237, "module-sparknlp.partition.partition_properties"], [238, "module-sparknlp.partition.partition_transformer"], [239, "module-sparknlp.pretrained"], [240, "module-sparknlp.pretrained.pretrained_pipeline"], [241, "module-sparknlp.pretrained.resource_downloader"], [242, "module-sparknlp.pretrained.utils"], [243, "module-sparknlp.reader"], [244, "module-sparknlp.reader.enums"], [245, "module-sparknlp.reader.pdf_to_text"], [246, "module-sparknlp.reader.reader2doc"], [247, "module-sparknlp.reader.reader2image"], [248, "module-sparknlp.reader.reader2table"], [249, "module-sparknlp.reader.reader_assembler"], [250, "module-sparknlp.reader.sparknlp_reader"], [251, "module-sparknlp.training"], [252, "module-sparknlp.training.conll"], [253, "module-sparknlp.training.conllu"], [254, "module-sparknlp.training.pos"], [255, "module-sparknlp.training.pub_tator"], [256, "module-sparknlp.training.spacy_to_annotation"], [258, "module-sparknlp.upload_to_hub"], [259, "module-sparknlp.util"], [262, "module-sparknlp.annotation"], [263, "module-sparknlp.annotation_audio"], [264, "module-sparknlp.annotation_image"], [265, "module-sparknlp.annotator.audio.hubert_for_ctc"], [266, "module-sparknlp.annotator.audio"], [267, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"], [268, "module-sparknlp.annotator.audio.whisper_for_ctc"], [269, "module-sparknlp.annotator.chunk2_doc"], [270, "module-sparknlp.annotator.chunker"], [271, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"], [272, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"], [273, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"], [274, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"], [275, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"], [276, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"], [277, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"], [278, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"], [279, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"], [280, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"], [281, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"], [282, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"], [283, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"], [284, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"], [285, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"], [286, "module-sparknlp.annotator.classifier_dl.classifier_dl"], [287, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"], [288, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"], [289, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"], [290, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"], [291, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"], [292, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"], [293, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"], [294, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"], [295, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"], [296, "module-sparknlp.annotator.classifier_dl"], [297, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"], [298, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"], [299, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"], [300, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"], [301, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"], [302, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"], [303, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"], [304, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"], [305, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"], [306, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"], [307, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"], [308, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"], [309, "module-sparknlp.annotator.classifier_dl.sentiment_dl"], [310, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"], [311, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"], [312, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"], [313, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"], [314, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"], [315, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"], [316, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"], [317, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"], [318, "module-sparknlp.annotator.cleaners.cleaner"], [319, "module-sparknlp.annotator.cleaners.extractor"], [320, "module-sparknlp.annotator.cleaners"], [321, "module-sparknlp.annotator.coref"], [322, "module-sparknlp.annotator.coref.spanbert_coref"], [323, "module-sparknlp.annotator.cv.blip_for_question_answering"], [324, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"], [325, "module-sparknlp.annotator.cv.convnext_for_image_classification"], [326, "module-sparknlp.annotator.cv.florence2_transformer"], [327, "module-sparknlp.annotator.cv.gemma3_for_multimodal"], [328, "module-sparknlp.annotator.cv"], [329, "module-sparknlp.annotator.cv.internvl_for_multimodal"], [330, "module-sparknlp.annotator.cv.janus_for_multimodal"], [331, "module-sparknlp.annotator.cv.llava_for_multimodal"], [332, "module-sparknlp.annotator.cv.mllama_for_multimodal"], [333, "module-sparknlp.annotator.cv.paligemma_for_multimodal"], [334, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"], [335, "module-sparknlp.annotator.cv.qwen2vl_transformer"], [336, "module-sparknlp.annotator.cv.smolvlm_transformer"], [337, "module-sparknlp.annotator.cv.swin_for_image_classification"], [338, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"], [339, "module-sparknlp.annotator.cv.vit_for_image_classification"], [340, "module-sparknlp.annotator.dataframe_optimizer"], [341, "module-sparknlp.annotator.date2_chunk"], [342, "module-sparknlp.annotator.dependency.dependency_parser"], [343, "module-sparknlp.annotator.dependency"], [344, "module-sparknlp.annotator.dependency.typed_dependency_parser"], [345, "module-sparknlp.annotator.document_character_text_splitter"], [346, "module-sparknlp.annotator.document_normalizer"], [347, "module-sparknlp.annotator.document_token_splitter"], [348, "module-sparknlp.annotator.document_token_splitter_test"], [349, "module-sparknlp.annotator.embeddings.albert_embeddings"], [350, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"], [351, "module-sparknlp.annotator.embeddings.bert_embeddings"], [352, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"], [353, "module-sparknlp.annotator.embeddings.bge_embeddings"], [354, "module-sparknlp.annotator.embeddings.camembert_embeddings"], [355, "module-sparknlp.annotator.embeddings.chunk_embeddings"], [356, "module-sparknlp.annotator.embeddings.deberta_embeddings"], [357, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"], [358, "module-sparknlp.annotator.embeddings.doc2vec"], [359, "module-sparknlp.annotator.embeddings.e5_embeddings"], [360, "module-sparknlp.annotator.embeddings.e5v_embeddings"], [361, "module-sparknlp.annotator.embeddings.elmo_embeddings"], [362, "module-sparknlp.annotator.embeddings"], [363, "module-sparknlp.annotator.embeddings.instructor_embeddings"], [364, "module-sparknlp.annotator.embeddings.longformer_embeddings"], [365, "module-sparknlp.annotator.embeddings.minilm_embeddings"], [366, "module-sparknlp.annotator.embeddings.mpnet_embeddings"], [367, "module-sparknlp.annotator.embeddings.mxbai_embeddings"], [368, "module-sparknlp.annotator.embeddings.nomic_embeddings"], [369, "module-sparknlp.annotator.embeddings.roberta_embeddings"], [370, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"], [371, "module-sparknlp.annotator.embeddings.sentence_embeddings"], [372, "module-sparknlp.annotator.embeddings.snowflake_embeddings"], [373, "module-sparknlp.annotator.embeddings.uae_embeddings"], [374, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"], [375, "module-sparknlp.annotator.embeddings.word2vec"], [376, "module-sparknlp.annotator.embeddings.word_embeddings"], [377, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"], [378, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"], [379, "module-sparknlp.annotator.embeddings.xlnet_embeddings"], [380, "module-sparknlp.annotator.er.entity_ruler"], [381, "module-sparknlp.annotator.er"], [382, "module-sparknlp.annotator.graph_extraction"], [383, "module-sparknlp.annotator"], [384, "module-sparknlp.annotator.keyword_extraction"], [385, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"], [386, "module-sparknlp.annotator.ld_dl"], [387, "module-sparknlp.annotator.ld_dl.language_detector_dl"], [388, "module-sparknlp.annotator.lemmatizer"], [389, "module-sparknlp.annotator.matcher.big_text_matcher"], [390, "module-sparknlp.annotator.matcher.date_matcher"], [391, "module-sparknlp.annotator.matcher"], [392, "module-sparknlp.annotator.matcher.multi_date_matcher"], [393, "module-sparknlp.annotator.matcher.regex_matcher"], [394, "module-sparknlp.annotator.matcher.text_matcher"], [395, "module-sparknlp.annotator.n_gram_generator"], [396, "module-sparknlp.annotator.ner"], [397, "module-sparknlp.annotator.ner.ner_approach"], [398, "module-sparknlp.annotator.ner.ner_converter"], [399, "module-sparknlp.annotator.ner.ner_crf"], [400, "module-sparknlp.annotator.ner.ner_dl"], [401, "module-sparknlp.annotator.ner.ner_dl_graph_checker"], [402, "module-sparknlp.annotator.ner.ner_overwriter"], [403, "module-sparknlp.annotator.ner.zero_shot_ner_model"], [404, "module-sparknlp.annotator.normalizer"], [405, "module-sparknlp.annotator.openai"], [406, "module-sparknlp.annotator.openai.openai_completion"], [407, "module-sparknlp.annotator.openai.openai_embeddings"], [408, "module-sparknlp.annotator.param.classifier_encoder"], [409, "module-sparknlp.annotator.param.evaluation_dl_params"], [410, "module-sparknlp.annotator.param"], [411, "module-sparknlp.annotator.pos"], [412, "module-sparknlp.annotator.pos.perceptron"], [413, "module-sparknlp.annotator.sentence"], [414, "module-sparknlp.annotator.sentence.sentence_detector"], [415, "module-sparknlp.annotator.sentence.sentence_detector_dl"], [416, "module-sparknlp.annotator.sentiment"], [417, "module-sparknlp.annotator.sentiment.sentiment_detector"], [418, "module-sparknlp.annotator.sentiment.vivekn_sentiment"], [419, "module-sparknlp.annotator.seq2seq.auto_gguf_model"], [420, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"], [421, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"], [422, "module-sparknlp.annotator.seq2seq.bart_transformer"], [423, "module-sparknlp.annotator.seq2seq.cohere_transformer"], [424, "module-sparknlp.annotator.seq2seq.cpm_transformer"], [425, "module-sparknlp.annotator.seq2seq.gpt2_transformer"], [426, "module-sparknlp.annotator.seq2seq"], [427, "module-sparknlp.annotator.seq2seq.llama2_transformer"], [428, "module-sparknlp.annotator.seq2seq.llama3_transformer"], [429, "module-sparknlp.annotator.seq2seq.m2m100_transformer"], [430, "module-sparknlp.annotator.seq2seq.marian_transformer"], [431, "module-sparknlp.annotator.seq2seq.mistral_transformer"], [432, "module-sparknlp.annotator.seq2seq.nllb_transformer"], [433, "module-sparknlp.annotator.seq2seq.olmo_transformer"], [434, "module-sparknlp.annotator.seq2seq.phi2_transformer"], [435, "module-sparknlp.annotator.seq2seq.phi3_transformer"], [436, "module-sparknlp.annotator.seq2seq.phi4_transformer"], [437, "module-sparknlp.annotator.seq2seq.qwen_transformer"], [438, "module-sparknlp.annotator.seq2seq.starcoder_transformer"], [439, "module-sparknlp.annotator.seq2seq.t5_transformer"], [440, "module-sparknlp.annotator.similarity.document_similarity_ranker"], [441, "module-sparknlp.annotator.similarity"], [442, "module-sparknlp.annotator.spell_check.context_spell_checker"], [443, "module-sparknlp.annotator.spell_check"], [444, "module-sparknlp.annotator.spell_check.norvig_sweeting"], [445, "module-sparknlp.annotator.spell_check.symmetric_delete"], [446, "module-sparknlp.annotator.stemmer"], [447, "module-sparknlp.annotator.stop_words_cleaner"], [448, "module-sparknlp.annotator.tf_ner_dl_graph_builder"], [449, "module-sparknlp.annotator.token.chunk_tokenizer"], [450, "module-sparknlp.annotator.token"], [451, "module-sparknlp.annotator.token.recursive_tokenizer"], [452, "module-sparknlp.annotator.token.regex_tokenizer"], [453, "module-sparknlp.annotator.token.tokenizer"], [454, "module-sparknlp.annotator.token2_chunk"], [455, "module-sparknlp.annotator.ws"], [456, "module-sparknlp.annotator.ws.word_segmenter"], [457, "module-sparknlp.base.audio_assembler"], [458, "module-sparknlp.base.doc2_chunk"], [459, "module-sparknlp.base.document_assembler"], [460, "module-sparknlp.base.embeddings_finisher"], [461, "module-sparknlp.base.finisher"], [462, "module-sparknlp.base.gguf_ranking_finisher"], [463, "module-sparknlp.base.graph_finisher"], [464, "module-sparknlp.base.has_recursive_fit"], [465, "module-sparknlp.base.has_recursive_transform"], [466, "module-sparknlp.base.image_assembler"], [467, "module-sparknlp.base"], [468, "module-sparknlp.base.light_pipeline"], [469, "module-sparknlp.base.multi_document_assembler"], [470, "module-sparknlp.base.prompt_assembler"], [471, "module-sparknlp.base.recursive_pipeline"], [472, "module-sparknlp.base.table_assembler"], [473, "module-sparknlp.base.token_assembler"], [474, "module-sparknlp.common.annotator_approach"], [475, "module-sparknlp.common.annotator_model"], [476, "module-sparknlp.common.annotator_properties"], [477, "module-sparknlp.common.annotator_type"], [478, "module-sparknlp.common.coverage_result"], [479, "module-sparknlp.common"], [480, "module-sparknlp.common.match_strategy"], [481, "module-sparknlp.common.properties"], [482, "module-sparknlp.common.read_as"], [483, "module-sparknlp.common.recursive_annotator_approach"], [484, "module-sparknlp.common.storage"], [485, "module-sparknlp.common.utils"], [486, "module-sparknlp.functions"], [487, "module-sparknlp"], [488, "module-sparknlp.internal.annotator_java_ml"], [489, "module-sparknlp.internal.annotator_transformer"], [490, "module-sparknlp.internal.extended_java_wrapper"], [491, "module-sparknlp.internal"], [492, "module-sparknlp.internal.params_getters_setters"], [493, "module-sparknlp.internal.recursive"], [494, "module-sparknlp.logging.comet"], [495, "module-sparknlp.logging"], [496, "module-sparknlp.partition"], [497, "module-sparknlp.partition.partition"], [498, "module-sparknlp.partition.partition_properties"], [499, "module-sparknlp.partition.partition_transformer"], [500, "module-sparknlp.pretrained"], [501, "module-sparknlp.pretrained.pretrained_pipeline"], [502, "module-sparknlp.pretrained.resource_downloader"], [503, "module-sparknlp.pretrained.utils"], [504, "module-sparknlp.reader.enums"], [505, "module-sparknlp.reader"], [506, "module-sparknlp.reader.pdf_to_text"], [507, "module-sparknlp.reader.reader2doc"], [508, "module-sparknlp.reader.reader2image"], [509, "module-sparknlp.reader.reader2table"], [510, "module-sparknlp.reader.reader_assembler"], [511, "module-sparknlp.reader.sparknlp_reader"], [512, "module-sparknlp.training.conll"], [513, "module-sparknlp.training.conllu"], [514, "module-sparknlp.training"], [515, "module-sparknlp.training.pos"], [516, "module-sparknlp.training.pub_tator"], [517, "module-sparknlp.training.spacy_to_annotation"], [518, "module-sparknlp.training.tfgraphs"], [519, "module-sparknlp.upload_to_hub"], [520, "module-sparknlp.util"]], "read() (in module sparknlp)": [[1, "sparknlp.read"], [487, "sparknlp.read"]], "sparknlp": [[1, "module-sparknlp"], [487, "module-sparknlp"]], "start() (in module sparknlp)": [[1, "sparknlp.start"], [487, "sparknlp.start"]], "version() (in module sparknlp)": [[1, "sparknlp.version"], [487, "sparknlp.version"]], "annotation (class in sparknlp.annotation)": [[2, "sparknlp.annotation.Annotation"], [262, "sparknlp.annotation.Annotation"]], "arraytype() (annotation static method)": [[2, "sparknlp.annotation.Annotation.arrayType"], [262, "sparknlp.annotation.Annotation.arrayType"]], "copy() (annotation method)": [[2, "sparknlp.annotation.Annotation.copy"], [262, "sparknlp.annotation.Annotation.copy"]], "datatype() (annotation static method)": [[2, "sparknlp.annotation.Annotation.dataType"], [262, "sparknlp.annotation.Annotation.dataType"]], "fromrow() (annotation static method)": [[2, "sparknlp.annotation.Annotation.fromRow"], [262, "sparknlp.annotation.Annotation.fromRow"]], "sparknlp.annotation": [[2, "module-sparknlp.annotation"], [262, "module-sparknlp.annotation"]], "torow() (annotation static method)": [[2, "sparknlp.annotation.Annotation.toRow"], [262, "sparknlp.annotation.Annotation.toRow"]], "annotationaudio (class in sparknlp.annotation_audio)": [[3, "sparknlp.annotation_audio.AnnotationAudio"], [263, "sparknlp.annotation_audio.AnnotationAudio"]], "copy() (annotationaudio method)": [[3, "sparknlp.annotation_audio.AnnotationAudio.copy"], [263, "sparknlp.annotation_audio.AnnotationAudio.copy"]], "sparknlp.annotation_audio": [[3, "module-sparknlp.annotation_audio"], [263, "module-sparknlp.annotation_audio"]], "annotationimage (class in sparknlp.annotation_image)": [[4, "sparknlp.annotation_image.AnnotationImage"], [264, "sparknlp.annotation_image.AnnotationImage"]], "copy() (annotationimage method)": [[4, "sparknlp.annotation_image.AnnotationImage.copy"], [264, "sparknlp.annotation_image.AnnotationImage.copy"]], "sparknlp.annotation_image": [[4, "module-sparknlp.annotation_image"], [264, "module-sparknlp.annotation_image"]], "sparknlp.annotator": [[5, "module-sparknlp.annotator"], [383, "module-sparknlp.annotator"]], "sparknlp.annotator.audio": [[6, "module-sparknlp.annotator.audio"], [266, "module-sparknlp.annotator.audio"]], "hubertforctc (class in sparknlp.annotator.audio.hubert_for_ctc)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC"]], "configprotobytes (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.configProtoBytes"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.configProtoBytes"]], "inputannotatortypes (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.inputAnnotatorTypes"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.inputAnnotatorTypes"]], "loadsavedmodel() (hubertforctc static method)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.loadSavedModel"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.loadSavedModel"]], "name (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.name"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.name"]], "outputannotatortype (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.outputAnnotatorType"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.outputAnnotatorType"]], "pretrained() (hubertforctc static method)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.pretrained"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.pretrained"]], "setconfigprotobytes() (hubertforctc method)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.setConfigProtoBytes"], [265, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.setConfigProtoBytes"]], "sparknlp.annotator.audio.hubert_for_ctc": [[7, "module-sparknlp.annotator.audio.hubert_for_ctc"], [265, "module-sparknlp.annotator.audio.hubert_for_ctc"]], "wav2vec2forctc (class in sparknlp.annotator.audio.wav2vec2_for_ctc)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC"]], "configprotobytes (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.configProtoBytes"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.configProtoBytes"]], "inputannotatortypes (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.inputAnnotatorTypes"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.inputAnnotatorTypes"]], "loadsavedmodel() (wav2vec2forctc static method)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.loadSavedModel"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.loadSavedModel"]], "name (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.name"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.name"]], "outputannotatortype (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.outputAnnotatorType"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.outputAnnotatorType"]], "pretrained() (wav2vec2forctc static method)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.pretrained"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.pretrained"]], "setconfigprotobytes() (wav2vec2forctc method)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.setConfigProtoBytes"], [267, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.setConfigProtoBytes"]], "sparknlp.annotator.audio.wav2vec2_for_ctc": [[8, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"], [267, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"]], "whisperforctc (class in sparknlp.annotator.audio.whisper_for_ctc)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC"]], "configprotobytes (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.configProtoBytes"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.configProtoBytes"]], "getismultilingual() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getIsMultilingual"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getIsMultilingual"]], "getlanguage() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getLanguage"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getLanguage"]], "inputannotatortypes (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.inputAnnotatorTypes"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.inputAnnotatorTypes"]], "ismultilingual (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.isMultilingual"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.isMultilingual"]], "language (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.language"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.language"]], "loadsavedmodel() (whisperforctc static method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.loadSavedModel"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.loadSavedModel"]], "name (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.name"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.name"]], "outputannotatortype (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.outputAnnotatorType"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.outputAnnotatorType"]], "pretrained() (whisperforctc static method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.pretrained"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.pretrained"]], "setconfigprotobytes() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setConfigProtoBytes"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setConfigProtoBytes"]], "setlanguage() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setLanguage"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setLanguage"]], "settask() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setTask"], [268, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setTask"]], "sparknlp.annotator.audio.whisper_for_ctc": [[9, "module-sparknlp.annotator.audio.whisper_for_ctc"], [268, "module-sparknlp.annotator.audio.whisper_for_ctc"]], "chunk2doc (class in sparknlp.annotator.chunk2_doc)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc"], [269, "sparknlp.annotator.chunk2_doc.Chunk2Doc"]], "inputannotatortypes (chunk2doc attribute)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.inputAnnotatorTypes"], [269, "sparknlp.annotator.chunk2_doc.Chunk2Doc.inputAnnotatorTypes"]], "name (chunk2doc attribute)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.name"], [269, "sparknlp.annotator.chunk2_doc.Chunk2Doc.name"]], "outputannotatortype (chunk2doc attribute)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.outputAnnotatorType"], [269, "sparknlp.annotator.chunk2_doc.Chunk2Doc.outputAnnotatorType"]], "setparams() (chunk2doc method)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.setParams"], [269, "sparknlp.annotator.chunk2_doc.Chunk2Doc.setParams"]], "sparknlp.annotator.chunk2_doc": [[10, "module-sparknlp.annotator.chunk2_doc"], [269, "module-sparknlp.annotator.chunk2_doc"]], "chunker (class in sparknlp.annotator.chunker)": [[11, "sparknlp.annotator.chunker.Chunker"], [270, "sparknlp.annotator.chunker.Chunker"]], "inputannotatortypes (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.inputAnnotatorTypes"], [270, "sparknlp.annotator.chunker.Chunker.inputAnnotatorTypes"]], "name (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.name"], [270, "sparknlp.annotator.chunker.Chunker.name"]], "outputannotatortype (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.outputAnnotatorType"], [270, "sparknlp.annotator.chunker.Chunker.outputAnnotatorType"]], "regexparsers (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.regexParsers"], [270, "sparknlp.annotator.chunker.Chunker.regexParsers"]], "setregexparsers() (chunker method)": [[11, "sparknlp.annotator.chunker.Chunker.setRegexParsers"], [270, "sparknlp.annotator.chunker.Chunker.setRegexParsers"]], "sparknlp.annotator.chunker": [[11, "module-sparknlp.annotator.chunker"], [270, "module-sparknlp.annotator.chunker"]], "sparknlp.annotator.classifier_dl": [[12, "module-sparknlp.annotator.classifier_dl"], [296, "module-sparknlp.annotator.classifier_dl"]], "albertformultiplechoice (class in sparknlp.annotator.classifier_dl.albert_for_multiple_choice)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice"]], "choicesdelimiter (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.choicesDelimiter"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.inputAnnotatorTypes"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (albertformultiplechoice static method)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.loadSavedModel"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.loadSavedModel"]], "name (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.name"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.name"]], "outputannotatortype (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.outputAnnotatorType"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.outputAnnotatorType"]], "pretrained() (albertformultiplechoice static method)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.pretrained"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.pretrained"]], "setchoicesdelimiter() (albertformultiplechoice method)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.setChoicesDelimiter"], [271, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice": [[13, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"], [271, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"]], "albertforquestionanswering (class in sparknlp.annotator.classifier_dl.albert_for_question_answering)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering"]], "coalescesentences (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.coalesceSentences"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.coalesceSentences"]], "configprotobytes (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.configProtoBytes"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.inputAnnotatorTypes"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (albertforquestionanswering static method)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.loadSavedModel"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.loadSavedModel"]], "name (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.name"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.name"]], "outputannotatortype (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.outputAnnotatorType"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (albertforquestionanswering static method)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.pretrained"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (albertforquestionanswering method)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.setConfigProtoBytes"], [272, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering": [[14, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"], [272, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"]], "albertforsequenceclassification (class in sparknlp.annotator.classifier_dl.albert_for_sequence_classification)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification"]], "coalescesentences (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.coalesceSentences"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.coalesceSentences"]], "configprotobytes (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.configProtoBytes"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.configProtoBytes"]], "getclasses() (albertforsequenceclassification method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.getClasses"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.getClasses"]], "inputannotatortypes (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.inputAnnotatorTypes"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (albertforsequenceclassification static method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.loadSavedModel"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.loadSavedModel"]], "name (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.name"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.name"]], "outputannotatortype (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.outputAnnotatorType"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.outputAnnotatorType"]], "pretrained() (albertforsequenceclassification static method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.pretrained"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.pretrained"]], "setcoalescesentences() (albertforsequenceclassification method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setCoalesceSentences"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (albertforsequenceclassification method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setConfigProtoBytes"], [273, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification": [[15, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"], [273, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"]], "albertfortokenclassification (class in sparknlp.annotator.classifier_dl.albert_for_token_classification)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification"]], "configprotobytes (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.configProtoBytes"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.configProtoBytes"]], "getclasses() (albertfortokenclassification method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.getClasses"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.getClasses"]], "inputannotatortypes (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.inputAnnotatorTypes"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (albertfortokenclassification static method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.loadSavedModel"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.loadSavedModel"]], "name (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.name"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.name"]], "outputannotatortype (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.outputAnnotatorType"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.outputAnnotatorType"]], "pretrained() (albertfortokenclassification static method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.pretrained"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.pretrained"]], "setconfigprotobytes() (albertfortokenclassification method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.setConfigProtoBytes"], [274, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification": [[16, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"], [274, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"]], "albertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification"]], "coalescesentences (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.coalesceSentences"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.coalesceSentences"]], "configprotobytes (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.configProtoBytes"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.configProtoBytes"]], "getclasses() (albertforzeroshotclassification method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.getClasses"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.getClasses"]], "inputannotatortypes (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.inputAnnotatorTypes"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (albertforzeroshotclassification static method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.loadSavedModel"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.loadSavedModel"]], "name (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.name"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.name"]], "outputannotatortype (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.outputAnnotatorType"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (albertforzeroshotclassification static method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.pretrained"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.pretrained"]], "setcoalescesentences() (albertforzeroshotclassification method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setCoalesceSentences"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (albertforzeroshotclassification method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setConfigProtoBytes"], [275, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification": [[17, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"], [275, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"]], "bartforzeroshotclassification (class in sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification"]], "coalescesentences (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.coalesceSentences"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.coalesceSentences"]], "configprotobytes (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.configProtoBytes"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.configProtoBytes"]], "getclasses() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.getClasses"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.getClasses"]], "inputannotatortypes (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.inputAnnotatorTypes"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bartforzeroshotclassification static method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.loadSavedModel"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.loadSavedModel"]], "maxsentencelength (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.maxSentenceLength"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.maxSentenceLength"]], "name (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.name"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.name"]], "outputannotatortype (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.outputAnnotatorType"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.outputAnnotatorType"]], "pretrained() (bartforzeroshotclassification static method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.pretrained"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.pretrained"]], "setcoalescesentences() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setCoalesceSentences"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setConfigProtoBytes"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setConfigProtoBytes"]], "setmaxsentencelength() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setMaxSentenceLength"], [276, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification": [[18, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"], [276, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"]], "bertformultiplechoice (class in sparknlp.annotator.classifier_dl.bert_for_multiple_choice)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice"]], "choicesdelimiter (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.choicesDelimiter"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.inputAnnotatorTypes"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (bertformultiplechoice static method)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.loadSavedModel"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.loadSavedModel"]], "name (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.name"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.name"]], "outputannotatortype (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.outputAnnotatorType"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.outputAnnotatorType"]], "pretrained() (bertformultiplechoice static method)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.pretrained"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.pretrained"]], "setchoicesdelimiter() (bertformultiplechoice method)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.setChoicesDelimiter"], [277, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice": [[19, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"], [277, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"]], "bertforquestionanswering (class in sparknlp.annotator.classifier_dl.bert_for_question_answering)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering"]], "coalescesentences (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.coalesceSentences"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.coalesceSentences"]], "configprotobytes (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.configProtoBytes"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.inputAnnotatorTypes"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (bertforquestionanswering static method)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.loadSavedModel"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.loadSavedModel"]], "name (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.name"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.name"]], "outputannotatortype (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.outputAnnotatorType"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (bertforquestionanswering static method)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.pretrained"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (bertforquestionanswering method)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.setConfigProtoBytes"], [278, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering": [[20, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"], [278, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"]], "bertforsequenceclassification (class in sparknlp.annotator.classifier_dl.bert_for_sequence_classification)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification"]], "coalescesentences (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.coalesceSentences"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.coalesceSentences"]], "configprotobytes (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.configProtoBytes"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.configProtoBytes"]], "getclasses() (bertforsequenceclassification method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.getClasses"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.getClasses"]], "inputannotatortypes (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.inputAnnotatorTypes"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bertforsequenceclassification static method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.loadSavedModel"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.loadSavedModel"]], "name (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.name"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.name"]], "outputannotatortype (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.outputAnnotatorType"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.outputAnnotatorType"]], "pretrained() (bertforsequenceclassification static method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.pretrained"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.pretrained"]], "setcoalescesentences() (bertforsequenceclassification method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setCoalesceSentences"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (bertforsequenceclassification method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setConfigProtoBytes"], [279, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification": [[21, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"], [279, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"]], "bertfortokenclassification (class in sparknlp.annotator.classifier_dl.bert_for_token_classification)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification"]], "configprotobytes (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.configProtoBytes"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.configProtoBytes"]], "getclasses() (bertfortokenclassification method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.getClasses"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.getClasses"]], "inputannotatortypes (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.inputAnnotatorTypes"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bertfortokenclassification static method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.loadSavedModel"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.loadSavedModel"]], "name (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.name"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.name"]], "outputannotatortype (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.outputAnnotatorType"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.outputAnnotatorType"]], "pretrained() (bertfortokenclassification static method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.pretrained"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.pretrained"]], "setconfigprotobytes() (bertfortokenclassification method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.setConfigProtoBytes"], [280, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification": [[22, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"], [280, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"]], "bertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification"]], "coalescesentences (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.coalesceSentences"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.coalesceSentences"]], "configprotobytes (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.configProtoBytes"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.configProtoBytes"]], "getclasses() (bertforzeroshotclassification method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.getClasses"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.getClasses"]], "inputannotatortypes (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.inputAnnotatorTypes"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bertforzeroshotclassification static method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.loadSavedModel"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.loadSavedModel"]], "name (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.name"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.name"]], "outputannotatortype (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.outputAnnotatorType"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (bertforzeroshotclassification static method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.pretrained"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.pretrained"]], "setcoalescesentences() (bertforzeroshotclassification method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setCoalesceSentences"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (bertforzeroshotclassification method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setConfigProtoBytes"], [281, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification": [[23, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"], [281, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"]], "camembertforquestionanswering (class in sparknlp.annotator.classifier_dl.camembert_for_question_answering)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering"]], "coalescesentences (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.coalesceSentences"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.coalesceSentences"]], "configprotobytes (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.configProtoBytes"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.inputAnnotatorTypes"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (camembertforquestionanswering static method)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.loadSavedModel"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.loadSavedModel"]], "name (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.name"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.name"]], "outputannotatortype (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.outputAnnotatorType"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (camembertforquestionanswering static method)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.pretrained"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (camembertforquestionanswering method)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.setConfigProtoBytes"], [282, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering": [[24, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"], [282, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"]], "camembertforsequenceclassification (class in sparknlp.annotator.classifier_dl.camembert_for_sequence_classification)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification"]], "coalescesentences (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.coalesceSentences"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.coalesceSentences"]], "configprotobytes (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.configProtoBytes"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.configProtoBytes"]], "getclasses() (camembertforsequenceclassification method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.getClasses"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.getClasses"]], "inputannotatortypes (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.inputAnnotatorTypes"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (camembertforsequenceclassification static method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.loadSavedModel"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.loadSavedModel"]], "name (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.name"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.name"]], "outputannotatortype (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.outputAnnotatorType"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.outputAnnotatorType"]], "pretrained() (camembertforsequenceclassification static method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.pretrained"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.pretrained"]], "setcoalescesentences() (camembertforsequenceclassification method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setCoalesceSentences"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (camembertforsequenceclassification method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setConfigProtoBytes"], [283, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification": [[25, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"], [283, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"]], "camembertfortokenclassification (class in sparknlp.annotator.classifier_dl.camembert_for_token_classification)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification"]], "configprotobytes (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.configProtoBytes"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.configProtoBytes"]], "getclasses() (camembertfortokenclassification method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.getClasses"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.getClasses"]], "inputannotatortypes (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.inputAnnotatorTypes"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (camembertfortokenclassification static method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.loadSavedModel"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.loadSavedModel"]], "name (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.name"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.name"]], "outputannotatortype (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.outputAnnotatorType"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.outputAnnotatorType"]], "pretrained() (camembertfortokenclassification static method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.pretrained"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.pretrained"]], "setconfigprotobytes() (camembertfortokenclassification method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.setConfigProtoBytes"], [284, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification": [[26, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"], [284, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"]], "camembertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification"]], "coalescesentences (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.coalesceSentences"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.coalesceSentences"]], "configprotobytes (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.configProtoBytes"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.configProtoBytes"]], "getclasses() (camembertforzeroshotclassification method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.getClasses"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.getClasses"]], "inputannotatortypes (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.inputAnnotatorTypes"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (camembertforzeroshotclassification static method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.loadSavedModel"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.loadSavedModel"]], "name (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.name"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.name"]], "outputannotatortype (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.outputAnnotatorType"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (camembertforzeroshotclassification static method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.pretrained"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.pretrained"]], "setcoalescesentences() (camembertforzeroshotclassification method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setCoalesceSentences"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (camembertforzeroshotclassification method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setConfigProtoBytes"], [285, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification": [[27, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"], [285, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"]], "classifierdlapproach (class in sparknlp.annotator.classifier_dl.classifier_dl)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach"]], "classifierdlmodel (class in sparknlp.annotator.classifier_dl.classifier_dl)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel"]], "classes (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.classes"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.classes"]], "configprotobytes (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.configProtoBytes"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.configProtoBytes"]], "dropout (classifierdlapproach attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.dropout"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.dropout"]], "inputannotatortypes (classifierdlapproach attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.inputAnnotatorTypes"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.inputAnnotatorTypes"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.inputAnnotatorTypes"]], "name (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.name"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.name"]], "outputannotatortype (classifierdlapproach attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.outputAnnotatorType"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.outputAnnotatorType"]], "outputannotatortype (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.outputAnnotatorType"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.outputAnnotatorType"]], "pretrained() (classifierdlmodel static method)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.pretrained"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.pretrained"]], "setconfigprotobytes() (classifierdlmodel method)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.setConfigProtoBytes"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.setConfigProtoBytes"]], "setdropout() (classifierdlapproach method)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.setDropout"], [286, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.setDropout"]], "sparknlp.annotator.classifier_dl.classifier_dl": [[28, "module-sparknlp.annotator.classifier_dl.classifier_dl"], [286, "module-sparknlp.annotator.classifier_dl.classifier_dl"]], "debertaforquestionanswering (class in sparknlp.annotator.classifier_dl.deberta_for_question_answering)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering"]], "coalescesentences (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.coalesceSentences"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.coalesceSentences"]], "configprotobytes (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.configProtoBytes"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.inputAnnotatorTypes"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (debertaforquestionanswering static method)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.loadSavedModel"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.loadSavedModel"]], "name (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.name"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.name"]], "outputannotatortype (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.outputAnnotatorType"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.outputAnnotatorType"]], "pretrained() (debertaforquestionanswering static method)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.pretrained"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.pretrained"]], "setconfigprotobytes() (debertaforquestionanswering method)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.setConfigProtoBytes"], [287, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering": [[29, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"], [287, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"]], "debertaforsequenceclassification (class in sparknlp.annotator.classifier_dl.deberta_for_sequence_classification)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification"]], "coalescesentences (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.coalesceSentences"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.coalesceSentences"]], "configprotobytes (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.configProtoBytes"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.configProtoBytes"]], "getclasses() (debertaforsequenceclassification method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.getClasses"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.getClasses"]], "inputannotatortypes (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.inputAnnotatorTypes"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (debertaforsequenceclassification static method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.loadSavedModel"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.loadSavedModel"]], "name (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.name"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.name"]], "outputannotatortype (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.outputAnnotatorType"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.outputAnnotatorType"]], "pretrained() (debertaforsequenceclassification static method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.pretrained"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.pretrained"]], "setcoalescesentences() (debertaforsequenceclassification method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setCoalesceSentences"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (debertaforsequenceclassification method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setConfigProtoBytes"], [288, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification": [[30, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"], [288, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"]], "debertafortokenclassification (class in sparknlp.annotator.classifier_dl.deberta_for_token_classification)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification"]], "configprotobytes (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.configProtoBytes"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.configProtoBytes"]], "getclasses() (debertafortokenclassification method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.getClasses"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.getClasses"]], "inputannotatortypes (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.inputAnnotatorTypes"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (debertafortokenclassification static method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.loadSavedModel"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.loadSavedModel"]], "name (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.name"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.name"]], "outputannotatortype (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.outputAnnotatorType"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.outputAnnotatorType"]], "pretrained() (debertafortokenclassification static method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.pretrained"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.pretrained"]], "setconfigprotobytes() (debertafortokenclassification method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.setConfigProtoBytes"], [289, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification": [[31, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"], [289, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"]], "debertaforzeroshotclassification (class in sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification"]], "coalescesentences (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.coalesceSentences"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.coalesceSentences"]], "configprotobytes (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.configProtoBytes"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.configProtoBytes"]], "getclasses() (debertaforzeroshotclassification method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.getClasses"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.getClasses"]], "inputannotatortypes (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.inputAnnotatorTypes"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (debertaforzeroshotclassification static method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.loadSavedModel"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.loadSavedModel"]], "name (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.name"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.name"]], "outputannotatortype (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.outputAnnotatorType"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.outputAnnotatorType"]], "pretrained() (debertaforzeroshotclassification static method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.pretrained"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.pretrained"]], "setcoalescesentences() (debertaforzeroshotclassification method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setCoalesceSentences"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (debertaforzeroshotclassification method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setConfigProtoBytes"], [290, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification": [[32, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"], [290, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"]], "distilbertforquestionanswering (class in sparknlp.annotator.classifier_dl.distil_bert_for_question_answering)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering"]], "coalescesentences (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.coalesceSentences"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.coalesceSentences"]], "configprotobytes (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.configProtoBytes"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.inputAnnotatorTypes"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertforquestionanswering static method)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.loadSavedModel"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.loadSavedModel"]], "name (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.name"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.name"]], "outputannotatortype (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.outputAnnotatorType"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (distilbertforquestionanswering static method)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.pretrained"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (distilbertforquestionanswering method)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.setConfigProtoBytes"], [291, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering": [[33, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"], [291, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"]], "distilbertforsequenceclassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification"]], "coalescesentences (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.coalesceSentences"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.coalesceSentences"]], "configprotobytes (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.configProtoBytes"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.configProtoBytes"]], "getclasses() (distilbertforsequenceclassification method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.getClasses"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.getClasses"]], "inputannotatortypes (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.inputAnnotatorTypes"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertforsequenceclassification static method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.loadSavedModel"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.loadSavedModel"]], "name (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.name"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.name"]], "outputannotatortype (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.outputAnnotatorType"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.outputAnnotatorType"]], "pretrained() (distilbertforsequenceclassification static method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.pretrained"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.pretrained"]], "setcoalescesentences() (distilbertforsequenceclassification method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setCoalesceSentences"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (distilbertforsequenceclassification method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setConfigProtoBytes"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification": [[34, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"], [292, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"]], "distilbertfortokenclassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_token_classification)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification"]], "configprotobytes (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.configProtoBytes"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.configProtoBytes"]], "getclasses() (distilbertfortokenclassification method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.getClasses"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.getClasses"]], "inputannotatortypes (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.inputAnnotatorTypes"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertfortokenclassification static method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.loadSavedModel"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.loadSavedModel"]], "name (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.name"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.name"]], "outputannotatortype (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.outputAnnotatorType"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.outputAnnotatorType"]], "pretrained() (distilbertfortokenclassification static method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.pretrained"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.pretrained"]], "setconfigprotobytes() (distilbertfortokenclassification method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.setConfigProtoBytes"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification": [[35, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"], [293, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"]], "distilbertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification"]], "coalescesentences (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.coalesceSentences"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.coalesceSentences"]], "configprotobytes (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.configProtoBytes"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.configProtoBytes"]], "getclasses() (distilbertforzeroshotclassification method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.getClasses"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.getClasses"]], "inputannotatortypes (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.inputAnnotatorTypes"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertforzeroshotclassification static method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.loadSavedModel"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.loadSavedModel"]], "name (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.name"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.name"]], "outputannotatortype (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.outputAnnotatorType"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (distilbertforzeroshotclassification static method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.pretrained"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.pretrained"]], "setcoalescesentences() (distilbertforzeroshotclassification method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setCoalesceSentences"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (distilbertforzeroshotclassification method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setConfigProtoBytes"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification": [[36, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"], [294, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"]], "distilbertformultiplechoice (class in sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice"]], "choicesdelimiter (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.choicesDelimiter"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.inputAnnotatorTypes"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertformultiplechoice static method)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.loadSavedModel"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.loadSavedModel"]], "name (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.name"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.name"]], "outputannotatortype (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.outputAnnotatorType"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.outputAnnotatorType"]], "pretrained() (distilbertformultiplechoice static method)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.pretrained"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.pretrained"]], "setchoicesdelimiter() (distilbertformultiplechoice method)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.setChoicesDelimiter"], [295, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice": [[37, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"], [295, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"]], "longformerforquestionanswering (class in sparknlp.annotator.classifier_dl.longformer_for_question_answering)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering"]], "coalescesentences (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.coalesceSentences"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.coalesceSentences"]], "configprotobytes (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.configProtoBytes"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.inputAnnotatorTypes"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (longformerforquestionanswering static method)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.loadSavedModel"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.loadSavedModel"]], "name (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.name"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.name"]], "outputannotatortype (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.outputAnnotatorType"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.outputAnnotatorType"]], "pretrained() (longformerforquestionanswering static method)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.pretrained"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.pretrained"]], "setconfigprotobytes() (longformerforquestionanswering method)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.setConfigProtoBytes"], [297, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering": [[38, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"], [297, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"]], "longformerforsequenceclassification (class in sparknlp.annotator.classifier_dl.longformer_for_sequence_classification)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification"]], "coalescesentences (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.coalesceSentences"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.coalesceSentences"]], "configprotobytes (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.configProtoBytes"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.configProtoBytes"]], "getclasses() (longformerforsequenceclassification method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.getClasses"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.getClasses"]], "inputannotatortypes (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.inputAnnotatorTypes"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (longformerforsequenceclassification static method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.loadSavedModel"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.loadSavedModel"]], "name (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.name"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.name"]], "outputannotatortype (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.outputAnnotatorType"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.outputAnnotatorType"]], "pretrained() (longformerforsequenceclassification static method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.pretrained"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.pretrained"]], "setcoalescesentences() (longformerforsequenceclassification method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setCoalesceSentences"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (longformerforsequenceclassification method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setConfigProtoBytes"], [298, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification": [[39, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"], [298, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"]], "longformerfortokenclassification (class in sparknlp.annotator.classifier_dl.longformer_for_token_classification)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification"]], "configprotobytes (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.configProtoBytes"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.configProtoBytes"]], "getclasses() (longformerfortokenclassification method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.getClasses"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.getClasses"]], "inputannotatortypes (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.inputAnnotatorTypes"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (longformerfortokenclassification static method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.loadSavedModel"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.loadSavedModel"]], "name (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.name"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.name"]], "outputannotatortype (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.outputAnnotatorType"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.outputAnnotatorType"]], "pretrained() (longformerfortokenclassification static method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.pretrained"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.pretrained"]], "setconfigprotobytes() (longformerfortokenclassification method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.setConfigProtoBytes"], [299, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification": [[40, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"], [299, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"]], "mpnetforquestionanswering (class in sparknlp.annotator.classifier_dl.mpnet_for_question_answering)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering"], [300, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering"]], "inputannotatortypes (mpnetforquestionanswering attribute)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.inputAnnotatorTypes"], [300, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetforquestionanswering static method)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.loadSavedModel"], [300, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.loadSavedModel"]], "name (mpnetforquestionanswering attribute)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.name"], [300, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.name"]], "outputannotatortype (mpnetforquestionanswering attribute)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.outputAnnotatorType"], [300, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.outputAnnotatorType"]], "pretrained() (mpnetforquestionanswering static method)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.pretrained"], [300, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.pretrained"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering": [[41, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"], [300, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"]], "mpnetforsequenceclassification (class in sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification"]], "coalescesentences (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.coalesceSentences"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.coalesceSentences"]], "getclasses() (mpnetforsequenceclassification method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.getClasses"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.getClasses"]], "inputannotatortypes (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.inputAnnotatorTypes"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetforsequenceclassification static method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.loadSavedModel"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.loadSavedModel"]], "name (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.name"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.name"]], "outputannotatortype (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.outputAnnotatorType"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.outputAnnotatorType"]], "pretrained() (mpnetforsequenceclassification static method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.pretrained"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.pretrained"]], "setcoalescesentences() (mpnetforsequenceclassification method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.setCoalesceSentences"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.setCoalesceSentences"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification": [[42, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"], [301, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"]], "mpnetfortokenclassification (class in sparknlp.annotator.classifier_dl.mpnet_for_token_classification)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification"]], "configprotobytes (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.configProtoBytes"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.configProtoBytes"]], "getclasses() (mpnetfortokenclassification method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.getClasses"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.getClasses"]], "inputannotatortypes (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.inputAnnotatorTypes"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetfortokenclassification static method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.loadSavedModel"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.loadSavedModel"]], "name (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.name"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.name"]], "outputannotatortype (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.outputAnnotatorType"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.outputAnnotatorType"]], "pretrained() (mpnetfortokenclassification static method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.pretrained"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.pretrained"]], "setconfigprotobytes() (mpnetfortokenclassification method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.setConfigProtoBytes"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification": [[43, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"], [302, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"]], "multiclassifierdlapproach (class in sparknlp.annotator.classifier_dl.multi_classifier_dl)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach"]], "multiclassifierdlmodel (class in sparknlp.annotator.classifier_dl.multi_classifier_dl)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel"]], "classes (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.classes"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.classes"]], "configprotobytes (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.configProtoBytes"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.configProtoBytes"]], "inputannotatortypes (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.inputAnnotatorTypes"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.inputAnnotatorTypes"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.inputAnnotatorTypes"]], "name (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.name"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.name"]], "outputannotatortype (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.outputAnnotatorType"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.outputAnnotatorType"]], "outputannotatortype (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.outputAnnotatorType"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.outputAnnotatorType"]], "pretrained() (multiclassifierdlmodel static method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.pretrained"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.pretrained"]], "setconfigprotobytes() (multiclassifierdlmodel method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setConfigProtoBytes"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setConfigProtoBytes"]], "setshuffleperepoch() (multiclassifierdlapproach method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setShufflePerEpoch"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setShufflePerEpoch"]], "setthreshold() (multiclassifierdlapproach method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setThreshold"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setThreshold"]], "setthreshold() (multiclassifierdlmodel method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setThreshold"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setThreshold"]], "setverbose() (multiclassifierdlapproach method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setVerbose"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setVerbose"]], "shuffleperepoch (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.shufflePerEpoch"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.shufflePerEpoch"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl": [[44, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"], [303, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"]], "threshold (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.threshold"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.threshold"]], "threshold (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.threshold"], [303, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.threshold"]], "robertaformultiplechoice (class in sparknlp.annotator.classifier_dl.roberta_for_multiple_choice)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice"]], "choicesdelimiter (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.choicesDelimiter"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.inputAnnotatorTypes"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (robertaformultiplechoice static method)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.loadSavedModel"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.loadSavedModel"]], "name (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.name"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.name"]], "outputannotatortype (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.outputAnnotatorType"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.outputAnnotatorType"]], "pretrained() (robertaformultiplechoice static method)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.pretrained"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.pretrained"]], "setchoicesdelimiter() (robertaformultiplechoice method)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.setChoicesDelimiter"], [304, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice": [[45, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"], [304, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"]], "robertaforquestionanswering (class in sparknlp.annotator.classifier_dl.roberta_for_question_answering)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering"]], "coalescesentences (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.coalesceSentences"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.coalesceSentences"]], "configprotobytes (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.configProtoBytes"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.inputAnnotatorTypes"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (robertaforquestionanswering static method)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.loadSavedModel"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.loadSavedModel"]], "name (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.name"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.name"]], "outputannotatortype (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.outputAnnotatorType"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.outputAnnotatorType"]], "pretrained() (robertaforquestionanswering static method)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.pretrained"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.pretrained"]], "setconfigprotobytes() (robertaforquestionanswering method)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.setConfigProtoBytes"], [305, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering": [[46, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"], [305, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"]], "robertaforsequenceclassification (class in sparknlp.annotator.classifier_dl.roberta_for_sequence_classification)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification"]], "coalescesentences (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.coalesceSentences"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.coalesceSentences"]], "configprotobytes (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.configProtoBytes"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.configProtoBytes"]], "getclasses() (robertaforsequenceclassification method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.getClasses"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.getClasses"]], "inputannotatortypes (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.inputAnnotatorTypes"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (robertaforsequenceclassification static method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.loadSavedModel"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.loadSavedModel"]], "name (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.name"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.name"]], "outputannotatortype (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.outputAnnotatorType"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.outputAnnotatorType"]], "pretrained() (robertaforsequenceclassification static method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.pretrained"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.pretrained"]], "setcoalescesentences() (robertaforsequenceclassification method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setCoalesceSentences"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (robertaforsequenceclassification method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setConfigProtoBytes"], [306, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification": [[47, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"], [306, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"]], "robertafortokenclassification (class in sparknlp.annotator.classifier_dl.roberta_for_token_classification)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification"]], "configprotobytes (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.configProtoBytes"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.configProtoBytes"]], "getclasses() (robertafortokenclassification method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.getClasses"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.getClasses"]], "inputannotatortypes (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.inputAnnotatorTypes"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (robertafortokenclassification static method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.loadSavedModel"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.loadSavedModel"]], "maxsentencelength (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.maxSentenceLength"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.maxSentenceLength"]], "name (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.name"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.name"]], "outputannotatortype (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.outputAnnotatorType"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.outputAnnotatorType"]], "pretrained() (robertafortokenclassification static method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.pretrained"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.pretrained"]], "setconfigprotobytes() (robertafortokenclassification method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setConfigProtoBytes"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setConfigProtoBytes"]], "setmaxsentencelength() (robertafortokenclassification method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setMaxSentenceLength"], [307, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification": [[48, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"], [307, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"]], "robertaforzeroshotclassification (class in sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification"]], "coalescesentences (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.coalesceSentences"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.coalesceSentences"]], "configprotobytes (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.configProtoBytes"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.configProtoBytes"]], "getclasses() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.getClasses"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.getClasses"]], "inputannotatortypes (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.inputAnnotatorTypes"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (robertaforzeroshotclassification static method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.loadSavedModel"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.loadSavedModel"]], "maxsentencelength (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.maxSentenceLength"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.maxSentenceLength"]], "name (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.name"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.name"]], "outputannotatortype (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.outputAnnotatorType"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.outputAnnotatorType"]], "pretrained() (robertaforzeroshotclassification static method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.pretrained"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.pretrained"]], "setcoalescesentences() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setCoalesceSentences"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setConfigProtoBytes"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setConfigProtoBytes"]], "setmaxsentencelength() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setMaxSentenceLength"], [308, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification": [[49, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"], [308, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"]], "sentimentdlapproach (class in sparknlp.annotator.classifier_dl.sentiment_dl)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach"]], "sentimentdlmodel (class in sparknlp.annotator.classifier_dl.sentiment_dl)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel"]], "classes (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.classes"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.classes"]], "configprotobytes (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.configProtoBytes"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.configProtoBytes"]], "dropout (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.dropout"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.dropout"]], "inputannotatortypes (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.inputAnnotatorTypes"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.inputAnnotatorTypes"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.inputAnnotatorTypes"]], "name (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.name"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.name"]], "outputannotatortype (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.outputAnnotatorType"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.outputAnnotatorType"]], "outputannotatortype (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.outputAnnotatorType"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.outputAnnotatorType"]], "pretrained() (sentimentdlmodel static method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.pretrained"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.pretrained"]], "setconfigprotobytes() (sentimentdlmodel method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setConfigProtoBytes"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setConfigProtoBytes"]], "setdropout() (sentimentdlapproach method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setDropout"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setDropout"]], "setthreshold() (sentimentdlapproach method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThreshold"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThreshold"]], "setthreshold() (sentimentdlmodel method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThreshold"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThreshold"]], "setthresholdlabel() (sentimentdlapproach method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThresholdLabel"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThresholdLabel"]], "setthresholdlabel() (sentimentdlmodel method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThresholdLabel"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThresholdLabel"]], "sparknlp.annotator.classifier_dl.sentiment_dl": [[50, "module-sparknlp.annotator.classifier_dl.sentiment_dl"], [309, "module-sparknlp.annotator.classifier_dl.sentiment_dl"]], "threshold (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.threshold"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.threshold"]], "threshold (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.threshold"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.threshold"]], "thresholdlabel (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.thresholdLabel"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.thresholdLabel"]], "thresholdlabel (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.thresholdLabel"], [309, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.thresholdLabel"]], "tapasforquestionanswering (class in sparknlp.annotator.classifier_dl.tapas_for_question_answering)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering"], [310, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering"]], "inputannotatortypes (tapasforquestionanswering attribute)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.inputAnnotatorTypes"], [310, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (tapasforquestionanswering static method)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.loadSavedModel"], [310, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.loadSavedModel"]], "name (tapasforquestionanswering attribute)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.name"], [310, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.name"]], "pretrained() (tapasforquestionanswering static method)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.pretrained"], [310, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.pretrained"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering": [[51, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"], [310, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"]], "xlmrobertaformultiplechoice (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice"], [311, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice"]], "inputannotatortypes (xlmrobertaformultiplechoice attribute)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.inputAnnotatorTypes"], [311, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaformultiplechoice static method)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.loadSavedModel"], [311, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.loadSavedModel"]], "name (xlmrobertaformultiplechoice attribute)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.name"], [311, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.name"]], "outputannotatortype (xlmrobertaformultiplechoice attribute)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.outputAnnotatorType"], [311, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.outputAnnotatorType"]], "pretrained() (xlmrobertaformultiplechoice static method)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.pretrained"], [311, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.pretrained"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice": [[52, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"], [311, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"]], "xlmrobertaforquestionanswering (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering"]], "coalescesentences (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.coalesceSentences"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.coalesceSentences"]], "configprotobytes (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.configProtoBytes"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.inputAnnotatorTypes"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaforquestionanswering static method)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.loadSavedModel"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.loadSavedModel"]], "name (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.name"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.name"]], "outputannotatortype (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.outputAnnotatorType"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.outputAnnotatorType"]], "pretrained() (xlmrobertaforquestionanswering static method)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.pretrained"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.pretrained"]], "setconfigprotobytes() (xlmrobertaforquestionanswering method)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.setConfigProtoBytes"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering": [[53, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"], [312, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"]], "xlmrobertaforsequenceclassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification"]], "coalescesentences (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.coalesceSentences"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.coalesceSentences"]], "configprotobytes (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.configProtoBytes"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.configProtoBytes"]], "getclasses() (xlmrobertaforsequenceclassification method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.getClasses"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.getClasses"]], "inputannotatortypes (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.inputAnnotatorTypes"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaforsequenceclassification static method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.loadSavedModel"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.loadSavedModel"]], "name (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.name"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.name"]], "outputannotatortype (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.outputAnnotatorType"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.outputAnnotatorType"]], "pretrained() (xlmrobertaforsequenceclassification static method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.pretrained"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.pretrained"]], "setcoalescesentences() (xlmrobertaforsequenceclassification method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setCoalesceSentences"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (xlmrobertaforsequenceclassification method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setConfigProtoBytes"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification": [[54, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"], [313, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "xlmrobertafortokenclassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification"]], "configprotobytes (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.configProtoBytes"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.configProtoBytes"]], "getclasses() (xlmrobertafortokenclassification method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.getClasses"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.getClasses"]], "inputannotatortypes (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.inputAnnotatorTypes"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertafortokenclassification static method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.loadSavedModel"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.loadSavedModel"]], "name (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.name"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.name"]], "outputannotatortype (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.outputAnnotatorType"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.outputAnnotatorType"]], "pretrained() (xlmrobertafortokenclassification static method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.pretrained"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.pretrained"]], "setconfigprotobytes() (xlmrobertafortokenclassification method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.setConfigProtoBytes"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification": [[55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"], [314, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "xlmrobertaforzeroshotclassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification"]], "coalescesentences (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.coalesceSentences"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.coalesceSentences"]], "configprotobytes (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.configProtoBytes"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.configProtoBytes"]], "getclasses() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.getClasses"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.getClasses"]], "inputannotatortypes (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.inputAnnotatorTypes"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaforzeroshotclassification static method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.loadSavedModel"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.loadSavedModel"]], "maxsentencelength (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.maxSentenceLength"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.maxSentenceLength"]], "name (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.name"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.name"]], "outputannotatortype (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.outputAnnotatorType"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.outputAnnotatorType"]], "pretrained() (xlmrobertaforzeroshotclassification static method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.pretrained"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.pretrained"]], "setcoalescesentences() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setCoalesceSentences"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setConfigProtoBytes"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setConfigProtoBytes"]], "setmaxsentencelength() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setMaxSentenceLength"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification": [[56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"], [315, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "xlnetforsequenceclassification (class in sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification"]], "coalescesentences (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.coalesceSentences"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.coalesceSentences"]], "configprotobytes (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.configProtoBytes"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.configProtoBytes"]], "getclasses() (xlnetforsequenceclassification method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.getClasses"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.getClasses"]], "inputannotatortypes (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.inputAnnotatorTypes"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlnetforsequenceclassification static method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.loadSavedModel"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.loadSavedModel"]], "name (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.name"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.name"]], "outputannotatortype (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.outputAnnotatorType"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.outputAnnotatorType"]], "pretrained() (xlnetforsequenceclassification static method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.pretrained"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.pretrained"]], "setcoalescesentences() (xlnetforsequenceclassification method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setCoalesceSentences"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (xlnetforsequenceclassification method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setConfigProtoBytes"], [316, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification": [[57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"], [316, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "xlnetfortokenclassification (class in sparknlp.annotator.classifier_dl.xlnet_for_token_classification)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification"]], "configprotobytes (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.configProtoBytes"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.configProtoBytes"]], "getclasses() (xlnetfortokenclassification method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.getClasses"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.getClasses"]], "inputannotatortypes (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.inputAnnotatorTypes"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlnetfortokenclassification static method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.loadSavedModel"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.loadSavedModel"]], "name (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.name"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.name"]], "outputannotatortype (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.outputAnnotatorType"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.outputAnnotatorType"]], "pretrained() (xlnetfortokenclassification static method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.pretrained"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.pretrained"]], "setconfigprotobytes() (xlnetfortokenclassification method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.setConfigProtoBytes"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification": [[58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"], [317, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners": [[59, "module-sparknlp.annotator.cleaners"], [320, "module-sparknlp.annotator.cleaners"]], "cleaner (class in sparknlp.annotator.cleaners.cleaner)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner"]], "bullets (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.bullets"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.bullets"]], "cleanpostfixpattern (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPostfixPattern"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPostfixPattern"]], "cleanprefixpattern (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPrefixPattern"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPrefixPattern"]], "cleanermode (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanerMode"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanerMode"]], "dashes (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.dashes"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.dashes"]], "encoding (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.encoding"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.encoding"]], "extrawhitespace (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.extraWhitespace"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.extraWhitespace"]], "ignorecase (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.ignoreCase"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.ignoreCase"]], "inputannotatortypes (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.inputAnnotatorTypes"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.inputAnnotatorTypes"]], "lowercase (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.lowercase"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.lowercase"]], "name (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.name"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.name"]], "outputannotatortype (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.outputAnnotatorType"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.outputAnnotatorType"]], "setbullets() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setBullets"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setBullets"]], "setcleanpostfixpattern() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPostfixPattern"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPostfixPattern"]], "setcleanprefixpattern() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPrefixPattern"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPrefixPattern"]], "setcleanermode() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanerMode"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanerMode"]], "setdashes() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setDashes"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setDashes"]], "setencoding() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setEncoding"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setEncoding"]], "setextrawhitespace() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setExtraWhitespace"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setExtraWhitespace"]], "setignorecase() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setIgnoreCase"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setIgnoreCase"]], "setlowercase() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setLowercase"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setLowercase"]], "setstrip() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setStrip"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setStrip"]], "settrailingpunctuation() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setTrailingPunctuation"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.setTrailingPunctuation"]], "sparknlp.annotator.cleaners.cleaner": [[60, "module-sparknlp.annotator.cleaners.cleaner"], [318, "module-sparknlp.annotator.cleaners.cleaner"]], "strip (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.strip"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.strip"]], "trailingpunctuation (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.trailingPunctuation"], [318, "sparknlp.annotator.cleaners.cleaner.Cleaner.trailingPunctuation"]], "extractor (class in sparknlp.annotator.cleaners.extractor)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor"], [319, "sparknlp.annotator.cleaners.extractor.Extractor"]], "emailaddress (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.emailAddress"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.emailAddress"]], "emaildatetimetzpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.emailDateTimeTzPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.emailDateTimeTzPattern"]], "extractormode (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.extractorMode"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.extractorMode"]], "imageurlpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.imageUrlPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.imageUrlPattern"]], "index (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.index"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.index"]], "inputannotatortypes (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.inputAnnotatorTypes"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.inputAnnotatorTypes"]], "ipaddressnamepattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressNamePattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressNamePattern"]], "ipaddresspattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressPattern"]], "mapiidpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.mapiIdPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.mapiIdPattern"]], "name (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.name"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.name"]], "outputannotatortype (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.outputAnnotatorType"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.outputAnnotatorType"]], "setemailaddress() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailAddress"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailAddress"]], "setemaildatetimetzpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailDateTimeTzPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailDateTimeTzPattern"]], "setextractormode() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setExtractorMode"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setExtractorMode"]], "setimageurlpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setImageUrlPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setImageUrlPattern"]], "setindex() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setIndex"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setIndex"]], "setipaddressnamepattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressNamePattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressNamePattern"]], "setipaddresspattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressPattern"]], "setmapiidpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setMapiIdPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setMapiIdPattern"]], "settextpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setTextPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setTextPattern"]], "setusphonenumberspattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setUsPhoneNumbersPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.setUsPhoneNumbersPattern"]], "sparknlp.annotator.cleaners.extractor": [[61, "module-sparknlp.annotator.cleaners.extractor"], [319, "module-sparknlp.annotator.cleaners.extractor"]], "textpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.textPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.textPattern"]], "usphonenumberspattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.usPhoneNumbersPattern"], [319, "sparknlp.annotator.cleaners.extractor.Extractor.usPhoneNumbersPattern"]], "sparknlp.annotator.coref": [[62, "module-sparknlp.annotator.coref"], [321, "module-sparknlp.annotator.coref"]], "spanbertcorefmodel (class in sparknlp.annotator.coref.spanbert_coref)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel"]], "configprotobytes (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.configProtoBytes"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.configProtoBytes"]], "inputannotatortypes (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.inputAnnotatorTypes"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.inputAnnotatorTypes"]], "loadsavedmodel() (spanbertcorefmodel static method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.loadSavedModel"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.loadSavedModel"]], "maxsegmentlength (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.maxSegmentLength"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.maxSegmentLength"]], "name (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.name"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.name"]], "outputannotatortype (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.outputAnnotatorType"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.outputAnnotatorType"]], "pretrained() (spanbertcorefmodel static method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.pretrained"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.pretrained"]], "setconfigprotobytes() (spanbertcorefmodel method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setConfigProtoBytes"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setConfigProtoBytes"]], "setmaxsegmentlength() (spanbertcorefmodel method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setMaxSegmentLength"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setMaxSegmentLength"]], "settextgenre() (spanbertcorefmodel method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setTextGenre"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setTextGenre"]], "sparknlp.annotator.coref.spanbert_coref": [[63, "module-sparknlp.annotator.coref.spanbert_coref"], [322, "module-sparknlp.annotator.coref.spanbert_coref"]], "textgenre (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.textGenre"], [322, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.textGenre"]], "sparknlp.annotator.cv": [[64, "module-sparknlp.annotator.cv"], [328, "module-sparknlp.annotator.cv"]], "blipforquestionanswering (class in sparknlp.annotator.cv.blip_for_question_answering)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering"]], "configprotobytes (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.configProtoBytes"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.inputAnnotatorTypes"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (blipforquestionanswering static method)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.loadSavedModel"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.loadSavedModel"]], "maxsentencelength (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.maxSentenceLength"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.maxSentenceLength"]], "name (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.name"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.name"]], "outputannotatortype (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.outputAnnotatorType"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.outputAnnotatorType"]], "pretrained() (blipforquestionanswering static method)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.pretrained"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.pretrained"]], "setmaxsentencesize() (blipforquestionanswering method)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.setMaxSentenceSize"], [323, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.setMaxSentenceSize"]], "sparknlp.annotator.cv.blip_for_question_answering": [[65, "module-sparknlp.annotator.cv.blip_for_question_answering"], [323, "module-sparknlp.annotator.cv.blip_for_question_answering"]], "clipforzeroshotclassification (class in sparknlp.annotator.cv.clip_for_zero_shot_classification)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification"]], "configprotobytes (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.configProtoBytes"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.configProtoBytes"]], "getcandidatelabels() (clipforzeroshotclassification method)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.getCandidateLabels"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.getCandidateLabels"]], "inputannotatortypes (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.inputAnnotatorTypes"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (clipforzeroshotclassification static method)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.loadSavedModel"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.loadSavedModel"]], "name (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.name"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.name"]], "outputannotatortype (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.outputAnnotatorType"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.outputAnnotatorType"]], "pretrained() (clipforzeroshotclassification static method)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.pretrained"], [324, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.pretrained"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification": [[66, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"], [324, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"]], "convnextforimageclassification (class in sparknlp.annotator.cv.convnext_for_image_classification)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification"]], "configprotobytes (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.configProtoBytes"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.configProtoBytes"]], "croppct (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.cropPct"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.cropPct"]], "dorescale (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.doRescale"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.doRescale"]], "getclasses() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.getClasses"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.getClasses"]], "inputannotatortypes (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.inputAnnotatorTypes"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.inputAnnotatorTypes"]], "loadsavedmodel() (convnextforimageclassification static method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.loadSavedModel"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.loadSavedModel"]], "name (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.name"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.name"]], "outputannotatortype (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.outputAnnotatorType"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.outputAnnotatorType"]], "pretrained() (convnextforimageclassification static method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.pretrained"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.pretrained"]], "rescalefactor (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.rescaleFactor"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.rescaleFactor"]], "setconfigprotobytes() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setConfigProtoBytes"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setConfigProtoBytes"]], "setcroppct() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setCropPct"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setCropPct"]], "setdorescale() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setDoRescale"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setDoRescale"]], "setrescalefactor() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setRescaleFactor"], [325, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setRescaleFactor"]], "sparknlp.annotator.cv.convnext_for_image_classification": [[67, "module-sparknlp.annotator.cv.convnext_for_image_classification"], [325, "module-sparknlp.annotator.cv.convnext_for_image_classification"]], "florence2transformer (class in sparknlp.annotator.cv.florence2_transformer)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer"]], "batchsize (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.batchSize"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.batchSize"]], "beamsize (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.beamSize"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.beamSize"]], "dosample (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.doSample"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.doSample"]], "ignoretokenids (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.ignoreTokenIds"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.ignoreTokenIds"]], "inputannotatortypes (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.inputAnnotatorTypes"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (florence2transformer static method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.loadSavedModel"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.loadSavedModel"]], "maxoutputlength (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.maxOutputLength"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.maxOutputLength"]], "minoutputlength (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.minOutputLength"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.minOutputLength"]], "name (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.name"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.name"]], "norepeatngramsize (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.noRepeatNgramSize"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.noRepeatNgramSize"]], "outputannotatortype (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.outputAnnotatorType"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.outputAnnotatorType"]], "pretrained() (florence2transformer static method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.pretrained"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.pretrained"]], "repetitionpenalty (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.repetitionPenalty"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.repetitionPenalty"]], "setbatchsize() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBatchSize"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBatchSize"]], "setbeamsize() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBeamSize"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBeamSize"]], "setdosample() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setDoSample"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setDoSample"]], "setignoretokenids() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setIgnoreTokenIds"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMaxOutputLength"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMaxOutputLength"]], "setminoutputlength() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMinOutputLength"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setNoRepeatNgramSize"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setRepetitionPenalty"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setRepetitionPenalty"]], "settemperature() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTemperature"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTemperature"]], "settopk() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopK"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopK"]], "settopp() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopP"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopP"]], "sparknlp.annotator.cv.florence2_transformer": [[68, "module-sparknlp.annotator.cv.florence2_transformer"], [326, "module-sparknlp.annotator.cv.florence2_transformer"]], "temperature (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.temperature"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.temperature"]], "topk (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topK"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topK"]], "topp (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topP"], [326, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topP"]], "gemma3formultimodal (class in sparknlp.annotator.cv.gemma3_for_multimodal)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal"]], "beamsize (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.beamSize"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.beamSize"]], "configprotobytes (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.configProtoBytes"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.configProtoBytes"]], "dosample (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.doSample"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.doSample"]], "ignoretokenids (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.ignoreTokenIds"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.ignoreTokenIds"]], "inputannotatortypes (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.inputAnnotatorTypes"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (gemma3formultimodal static method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.loadSavedModel"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.loadSavedModel"]], "maxinputlength (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxInputLength"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxInputLength"]], "maxoutputlength (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxOutputLength"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxOutputLength"]], "minoutputlength (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.minOutputLength"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.minOutputLength"]], "name (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.name"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.name"]], "norepeatngramsize (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.noRepeatNgramSize"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.noRepeatNgramSize"]], "outputannotatortype (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.outputAnnotatorType"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.outputAnnotatorType"]], "pretrained() (gemma3formultimodal static method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.pretrained"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.pretrained"]], "repetitionpenalty (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.repetitionPenalty"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.repetitionPenalty"]], "setbeamsize() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setBeamSize"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setBeamSize"]], "setconfigprotobytes() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setConfigProtoBytes"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setConfigProtoBytes"]], "setdosample() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setDoSample"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setDoSample"]], "setignoretokenids() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setIgnoreTokenIds"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxOutputLength"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxSentenceSize"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMinOutputLength"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setNoRepeatNgramSize"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setRepetitionPenalty"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setRepetitionPenalty"]], "settemperature() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTemperature"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTemperature"]], "settopk() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopK"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopK"]], "settopp() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopP"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopP"]], "sparknlp.annotator.cv.gemma3_for_multimodal": [[69, "module-sparknlp.annotator.cv.gemma3_for_multimodal"], [327, "module-sparknlp.annotator.cv.gemma3_for_multimodal"]], "temperature (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.temperature"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.temperature"]], "topk (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topK"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topK"]], "topp (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topP"], [327, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topP"]], "internvlformultimodal (class in sparknlp.annotator.cv.internvl_for_multimodal)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal"]], "beamsize (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.beamSize"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.beamSize"]], "dosample (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.doSample"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.doSample"]], "ignoretokenids (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.ignoreTokenIds"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.ignoreTokenIds"]], "inputannotatortypes (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.inputAnnotatorTypes"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (internvlformultimodal static method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.loadSavedModel"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.loadSavedModel"]], "maxoutputlength (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.maxOutputLength"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.maxOutputLength"]], "minoutputlength (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.minOutputLength"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.minOutputLength"]], "name (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.name"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.name"]], "norepeatngramsize (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.noRepeatNgramSize"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.noRepeatNgramSize"]], "outputannotatortype (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.outputAnnotatorType"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.outputAnnotatorType"]], "pretrained() (internvlformultimodal static method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.pretrained"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.pretrained"]], "repetitionpenalty (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.repetitionPenalty"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.repetitionPenalty"]], "setbeamsize() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setBeamSize"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setBeamSize"]], "setdosample() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setDoSample"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setDoSample"]], "setignoretokenids() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setIgnoreTokenIds"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxOutputLength"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxSentenceSize"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMinOutputLength"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setNoRepeatNgramSize"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setRepetitionPenalty"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setRepetitionPenalty"]], "settemperature() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTemperature"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTemperature"]], "settopk() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopK"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopK"]], "settopp() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopP"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopP"]], "sparknlp.annotator.cv.internvl_for_multimodal": [[70, "module-sparknlp.annotator.cv.internvl_for_multimodal"], [329, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "temperature (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.temperature"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.temperature"]], "topk (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topK"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topK"]], "topp (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topP"], [329, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topP"]], "janusformultimodal (class in sparknlp.annotator.cv.janus_for_multimodal)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal"]], "beamsize (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.beamSize"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.beamSize"]], "configprotobytes (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.configProtoBytes"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.configProtoBytes"]], "dosample (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.doSample"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.doSample"]], "ignoretokenids (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.ignoreTokenIds"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.ignoreTokenIds"]], "imagegeneratemode (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.imageGenerateMode"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.imageGenerateMode"]], "inputannotatortypes (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.inputAnnotatorTypes"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (janusformultimodal static method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.loadSavedModel"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.loadSavedModel"]], "maxoutputlength (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.maxOutputLength"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.maxOutputLength"]], "minoutputlength (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.minOutputLength"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.minOutputLength"]], "name (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.name"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.name"]], "norepeatngramsize (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.noRepeatNgramSize"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.noRepeatNgramSize"]], "numofparallelimages (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.numOfParallelImages"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.numOfParallelImages"]], "outputannotatortype (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.outputAnnotatorType"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.outputAnnotatorType"]], "pretrained() (janusformultimodal static method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.pretrained"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.pretrained"]], "repetitionpenalty (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.repetitionPenalty"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.repetitionPenalty"]], "setbeamsize() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setBeamSize"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setBeamSize"]], "setconfigprotobytes() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setConfigProtoBytes"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setConfigProtoBytes"]], "setdosample() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setDoSample"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setDoSample"]], "setignoretokenids() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setIgnoreTokenIds"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setIgnoreTokenIds"]], "setimagegeneratemode() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setImageGenerateMode"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setImageGenerateMode"]], "setmaxoutputlength() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxOutputLength"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxSentenceSize"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMinOutputLength"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNoRepeatNgramSize"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNoRepeatNgramSize"]], "setnumofparallelimages() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNumOfParallelImages"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNumOfParallelImages"]], "setrepetitionpenalty() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setRepetitionPenalty"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setRepetitionPenalty"]], "settemperature() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTemperature"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTemperature"]], "settopk() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopK"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopK"]], "settopp() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopP"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopP"]], "sparknlp.annotator.cv.janus_for_multimodal": [[71, "module-sparknlp.annotator.cv.janus_for_multimodal"], [330, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "temperature (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.temperature"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.temperature"]], "topk (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topK"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topK"]], "topp (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topP"], [330, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topP"]], "llavaformultimodal (class in sparknlp.annotator.cv.llava_for_multimodal)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal"]], "beamsize (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.beamSize"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.beamSize"]], "configprotobytes (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.configProtoBytes"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.configProtoBytes"]], "dosample (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.doSample"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.doSample"]], "ignoretokenids (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.ignoreTokenIds"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.ignoreTokenIds"]], "inputannotatortypes (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.inputAnnotatorTypes"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (llavaformultimodal static method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.loadSavedModel"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.loadSavedModel"]], "maxoutputlength (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.maxOutputLength"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.maxOutputLength"]], "minoutputlength (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.minOutputLength"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.minOutputLength"]], "name (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.name"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.name"]], "norepeatngramsize (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.noRepeatNgramSize"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.noRepeatNgramSize"]], "outputannotatortype (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.outputAnnotatorType"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.outputAnnotatorType"]], "pretrained() (llavaformultimodal static method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.pretrained"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.pretrained"]], "repetitionpenalty (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.repetitionPenalty"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.repetitionPenalty"]], "setbeamsize() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setBeamSize"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setBeamSize"]], "setconfigprotobytes() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setConfigProtoBytes"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setConfigProtoBytes"]], "setdosample() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setDoSample"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setDoSample"]], "setignoretokenids() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setIgnoreTokenIds"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxOutputLength"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxSentenceSize"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMinOutputLength"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setNoRepeatNgramSize"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setRepetitionPenalty"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setRepetitionPenalty"]], "settemperature() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTemperature"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTemperature"]], "settopk() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopK"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopK"]], "settopp() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopP"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopP"]], "sparknlp.annotator.cv.llava_for_multimodal": [[72, "module-sparknlp.annotator.cv.llava_for_multimodal"], [331, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "temperature (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.temperature"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.temperature"]], "topk (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topK"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topK"]], "topp (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topP"], [331, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topP"]], "mllamaformultimodal (class in sparknlp.annotator.cv.mllama_for_multimodal)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal"]], "beamsize (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.beamSize"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.beamSize"]], "configprotobytes (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.configProtoBytes"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.configProtoBytes"]], "dosample (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.doSample"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.doSample"]], "ignoretokenids (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.ignoreTokenIds"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.ignoreTokenIds"]], "inputannotatortypes (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.inputAnnotatorTypes"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.inputAnnotatorTypes"]], "loadsavedmodel() (mllamaformultimodal static method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.loadSavedModel"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.loadSavedModel"]], "maxoutputlength (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.maxOutputLength"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.maxOutputLength"]], "minoutputlength (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.minOutputLength"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.minOutputLength"]], "name (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.name"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.name"]], "norepeatngramsize (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.noRepeatNgramSize"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.noRepeatNgramSize"]], "outputannotatortype (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.outputAnnotatorType"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.outputAnnotatorType"]], "pretrained() (mllamaformultimodal static method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.pretrained"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.pretrained"]], "repetitionpenalty (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.repetitionPenalty"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.repetitionPenalty"]], "setbeamsize() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setBeamSize"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setBeamSize"]], "setconfigprotobytes() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setConfigProtoBytes"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setConfigProtoBytes"]], "setdosample() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setDoSample"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setDoSample"]], "setignoretokenids() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setIgnoreTokenIds"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setIgnoreTokenIds"]], "setmaxoutputlength() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxOutputLength"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxOutputLength"]], "setmaxsentencesize() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxSentenceSize"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxSentenceSize"]], "setminoutputlength() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMinOutputLength"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMinOutputLength"]], "setnorepeatngramsize() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setNoRepeatNgramSize"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setRepetitionPenalty"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setRepetitionPenalty"]], "settemperature() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTemperature"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTemperature"]], "settopk() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopK"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopK"]], "settopp() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopP"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopP"]], "sparknlp.annotator.cv.mllama_for_multimodal": [[73, "module-sparknlp.annotator.cv.mllama_for_multimodal"], [332, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "temperature (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.temperature"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.temperature"]], "topk (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topK"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topK"]], "topp (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topP"], [332, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topP"]], "paligemmaformultimodal (class in sparknlp.annotator.cv.paligemma_for_multimodal)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal"]], "beamsize (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.beamSize"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.beamSize"]], "dosample (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.doSample"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.doSample"]], "ignoretokenids (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.ignoreTokenIds"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.ignoreTokenIds"]], "inputannotatortypes (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.inputAnnotatorTypes"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (paligemmaformultimodal static method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.loadSavedModel"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.loadSavedModel"]], "maxoutputlength (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.maxOutputLength"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.maxOutputLength"]], "minoutputlength (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.minOutputLength"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.minOutputLength"]], "name (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.name"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.name"]], "norepeatngramsize (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.noRepeatNgramSize"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.noRepeatNgramSize"]], "outputannotatortype (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.outputAnnotatorType"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.outputAnnotatorType"]], "pretrained() (paligemmaformultimodal static method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.pretrained"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.pretrained"]], "repetitionpenalty (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.repetitionPenalty"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.repetitionPenalty"]], "setbeamsize() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setBeamSize"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setBeamSize"]], "setdosample() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setDoSample"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setDoSample"]], "setignoretokenids() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setIgnoreTokenIds"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxOutputLength"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxSentenceSize"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMinOutputLength"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setNoRepeatNgramSize"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setRepetitionPenalty"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setRepetitionPenalty"]], "settemperature() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTemperature"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTemperature"]], "settopk() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopK"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopK"]], "settopp() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopP"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopP"]], "sparknlp.annotator.cv.paligemma_for_multimodal": [[74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"], [333, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "temperature (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.temperature"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.temperature"]], "topk (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topK"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topK"]], "topp (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topP"], [333, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topP"]], "phi3vision (class in sparknlp.annotator.cv.phi3_vision_for_multimodal)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision"]], "beamsize (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.beamSize"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.beamSize"]], "configprotobytes (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.configProtoBytes"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.configProtoBytes"]], "dosample (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.doSample"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.doSample"]], "ignoretokenids (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.ignoreTokenIds"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.ignoreTokenIds"]], "inputannotatortypes (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.inputAnnotatorTypes"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.inputAnnotatorTypes"]], "loadsavedmodel() (phi3vision static method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.loadSavedModel"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.loadSavedModel"]], "maxoutputlength (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.maxOutputLength"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.maxOutputLength"]], "minoutputlength (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.minOutputLength"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.minOutputLength"]], "name (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.name"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.name"]], "norepeatngramsize (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.noRepeatNgramSize"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.noRepeatNgramSize"]], "outputannotatortype (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.outputAnnotatorType"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.outputAnnotatorType"]], "pretrained() (phi3vision static method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.pretrained"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.pretrained"]], "repetitionpenalty (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.repetitionPenalty"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.repetitionPenalty"]], "setbeamsize() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setBeamSize"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setBeamSize"]], "setconfigprotobytes() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setConfigProtoBytes"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setConfigProtoBytes"]], "setdosample() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setDoSample"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setDoSample"]], "setignoretokenids() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setIgnoreTokenIds"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setIgnoreTokenIds"]], "setmaxoutputlength() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxOutputLength"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxOutputLength"]], "setmaxsentencesize() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxSentenceSize"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxSentenceSize"]], "setminoutputlength() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMinOutputLength"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMinOutputLength"]], "setnorepeatngramsize() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setNoRepeatNgramSize"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setRepetitionPenalty"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setRepetitionPenalty"]], "settemperature() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTemperature"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTemperature"]], "settopk() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopK"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopK"]], "settopp() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopP"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopP"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal": [[75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"], [334, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "temperature (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.temperature"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.temperature"]], "topk (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topK"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topK"]], "topp (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topP"], [334, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topP"]], "qwen2vltransformer (class in sparknlp.annotator.cv.qwen2vl_transformer)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer"]], "beamsize (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.beamSize"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.beamSize"]], "configprotobytes (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.configProtoBytes"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.configProtoBytes"]], "dosample (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.doSample"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.doSample"]], "ignoretokenids (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.ignoreTokenIds"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.ignoreTokenIds"]], "inputannotatortypes (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.inputAnnotatorTypes"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (qwen2vltransformer static method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.loadSavedModel"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.loadSavedModel"]], "maxoutputlength (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.maxOutputLength"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.maxOutputLength"]], "minoutputlength (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.minOutputLength"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.minOutputLength"]], "name (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.name"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.name"]], "norepeatngramsize (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.noRepeatNgramSize"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.noRepeatNgramSize"]], "outputannotatortype (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.outputAnnotatorType"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.outputAnnotatorType"]], "pretrained() (qwen2vltransformer static method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.pretrained"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.pretrained"]], "repetitionpenalty (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.repetitionPenalty"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.repetitionPenalty"]], "setbeamsize() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setBeamSize"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setBeamSize"]], "setconfigprotobytes() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setConfigProtoBytes"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setConfigProtoBytes"]], "setdosample() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setDoSample"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setDoSample"]], "setignoretokenids() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setIgnoreTokenIds"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxOutputLength"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxOutputLength"]], "setmaxsentencesize() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxSentenceSize"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxSentenceSize"]], "setminoutputlength() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMinOutputLength"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMinOutputLength"]], "setnorepeatngramsize() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setNoRepeatNgramSize"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setRepetitionPenalty"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setRepetitionPenalty"]], "settemperature() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTemperature"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTemperature"]], "settopk() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopK"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopK"]], "settopp() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopP"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopP"]], "sparknlp.annotator.cv.qwen2vl_transformer": [[76, "module-sparknlp.annotator.cv.qwen2vl_transformer"], [335, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "temperature (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.temperature"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.temperature"]], "topk (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topK"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topK"]], "topp (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topP"], [335, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topP"]], "smolvlmtransformer (class in sparknlp.annotator.cv.smolvlm_transformer)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer"]], "beamsize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.beamSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.beamSize"]], "doimagesplitting (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doImageSplitting"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doImageSplitting"]], "dosample (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doSample"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doSample"]], "ignoretokenids (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.ignoreTokenIds"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.ignoreTokenIds"]], "imagetoken (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.imageToken"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.imageToken"]], "inputannotatortypes (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.inputAnnotatorTypes"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (smolvlmtransformer static method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.loadSavedModel"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.loadSavedModel"]], "maximagesize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxImageSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxImageSize"]], "maxoutputlength (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxOutputLength"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxOutputLength"]], "minoutputlength (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.minOutputLength"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.minOutputLength"]], "name (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.name"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.name"]], "norepeatngramsize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.noRepeatNgramSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.noRepeatNgramSize"]], "numvisiontokens (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.numVisionTokens"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.numVisionTokens"]], "outputannotatortype (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.outputAnnotatorType"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.outputAnnotatorType"]], "paddingconstant (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.paddingConstant"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.paddingConstant"]], "patchsize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.patchSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.patchSize"]], "pretrained() (smolvlmtransformer static method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.pretrained"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.pretrained"]], "repetitionpenalty (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.repetitionPenalty"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.repetitionPenalty"]], "setbeamsize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setBeamSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setBeamSize"]], "setconfigprotobytes() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setConfigProtoBytes"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setConfigProtoBytes"]], "setdoimagesplitting() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoImageSplitting"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoImageSplitting"]], "setdosample() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoSample"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoSample"]], "setignoretokenids() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setIgnoreTokenIds"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setIgnoreTokenIds"]], "setimagetoken() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setImageToken"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setImageToken"]], "setmaximagesize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxImageSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxImageSize"]], "setmaxoutputlength() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxOutputLength"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxOutputLength"]], "setmaxsentencesize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxSentenceSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxSentenceSize"]], "setminoutputlength() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMinOutputLength"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMinOutputLength"]], "setnorepeatngramsize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNoRepeatNgramSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNoRepeatNgramSize"]], "setnumvisiontokens() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNumVisionTokens"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNumVisionTokens"]], "setpaddingconstant() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPaddingConstant"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPaddingConstant"]], "setpatchsize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPatchSize"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPatchSize"]], "setrepetitionpenalty() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setRepetitionPenalty"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setRepetitionPenalty"]], "setstoptokenids() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setStopTokenIds"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setStopTokenIds"]], "settemperature() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTemperature"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTemperature"]], "settopk() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopK"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopK"]], "settopp() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopP"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopP"]], "sparknlp.annotator.cv.smolvlm_transformer": [[77, "module-sparknlp.annotator.cv.smolvlm_transformer"], [336, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "stoptokenids (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.stopTokenIds"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.stopTokenIds"]], "temperature (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.temperature"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.temperature"]], "topk (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topK"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topK"]], "topp (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topP"], [336, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topP"]], "swinforimageclassification (class in sparknlp.annotator.cv.swin_for_image_classification)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification"]], "configprotobytes (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.configProtoBytes"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.configProtoBytes"]], "getclasses() (swinforimageclassification method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.getClasses"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.getClasses"]], "inputannotatortypes (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.inputAnnotatorTypes"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.inputAnnotatorTypes"]], "loadsavedmodel() (swinforimageclassification static method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.loadSavedModel"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.loadSavedModel"]], "name (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.name"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.name"]], "outputannotatortype (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.outputAnnotatorType"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.outputAnnotatorType"]], "pretrained() (swinforimageclassification static method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.pretrained"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.pretrained"]], "setconfigprotobytes() (swinforimageclassification method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.setConfigProtoBytes"], [337, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.setConfigProtoBytes"]], "sparknlp.annotator.cv.swin_for_image_classification": [[78, "module-sparknlp.annotator.cv.swin_for_image_classification"], [337, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "visionencoderdecoderforimagecaptioning (class in sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning"]], "configprotobytes (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.configProtoBytes"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.configProtoBytes"]], "inputannotatortypes (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.inputAnnotatorTypes"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.inputAnnotatorTypes"]], "loadsavedmodel() (visionencoderdecoderforimagecaptioning static method)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.loadSavedModel"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.loadSavedModel"]], "name (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.name"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.name"]], "outputannotatortype (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.outputAnnotatorType"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.outputAnnotatorType"]], "pretrained() (visionencoderdecoderforimagecaptioning static method)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.pretrained"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.pretrained"]], "setconfigprotobytes() (visionencoderdecoderforimagecaptioning method)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.setConfigProtoBytes"], [338, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.setConfigProtoBytes"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning": [[79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"], [338, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "vitforimageclassification (class in sparknlp.annotator.cv.vit_for_image_classification)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification"]], "configprotobytes (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.configProtoBytes"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.configProtoBytes"]], "getclasses() (vitforimageclassification method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.getClasses"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.getClasses"]], "inputannotatortypes (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.inputAnnotatorTypes"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.inputAnnotatorTypes"]], "loadsavedmodel() (vitforimageclassification static method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.loadSavedModel"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.loadSavedModel"]], "name (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.name"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.name"]], "outputannotatortype (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.outputAnnotatorType"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.outputAnnotatorType"]], "pretrained() (vitforimageclassification static method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.pretrained"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.pretrained"]], "setconfigprotobytes() (vitforimageclassification method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.setConfigProtoBytes"], [339, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.setConfigProtoBytes"]], "sparknlp.annotator.cv.vit_for_image_classification": [[80, "module-sparknlp.annotator.cv.vit_for_image_classification"], [339, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "dataframeoptimizer (class in sparknlp.annotator.dataframe_optimizer)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer"]], "docache (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.doCache"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.doCache"]], "executorcores (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.executorCores"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.executorCores"]], "numpartitions (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numPartitions"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numPartitions"]], "numworkers (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numWorkers"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numWorkers"]], "outputoptions (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.outputOptions"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.outputOptions"]], "persistformat (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistFormat"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistFormat"]], "persistpath (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistPath"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistPath"]], "setdocache() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setDoCache"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setDoCache"]], "setexecutorcores() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setExecutorCores"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setExecutorCores"]], "setnumpartitions() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumPartitions"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumPartitions"]], "setnumworkers() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumWorkers"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumWorkers"]], "setoutputoptions() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setOutputOptions"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setOutputOptions"]], "setparams() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setParams"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setParams"]], "setpersistformat() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistFormat"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistFormat"]], "setpersistpath() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistPath"], [340, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistPath"]], "sparknlp.annotator.dataframe_optimizer": [[81, "module-sparknlp.annotator.dataframe_optimizer"], [340, "module-sparknlp.annotator.dataframe_optimizer"]], "tostringdict() (in module sparknlp.annotator.dataframe_optimizer)": [[81, "sparknlp.annotator.dataframe_optimizer.toStringDict"], [340, "sparknlp.annotator.dataframe_optimizer.toStringDict"]], "date2chunk (class in sparknlp.annotator.date2_chunk)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk"], [341, "sparknlp.annotator.date2_chunk.Date2Chunk"]], "entityname (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.entityName"], [341, "sparknlp.annotator.date2_chunk.Date2Chunk.entityName"]], "inputannotatortypes (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.inputAnnotatorTypes"], [341, "sparknlp.annotator.date2_chunk.Date2Chunk.inputAnnotatorTypes"]], "name (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.name"], [341, "sparknlp.annotator.date2_chunk.Date2Chunk.name"]], "outputannotatortype (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.outputAnnotatorType"], [341, "sparknlp.annotator.date2_chunk.Date2Chunk.outputAnnotatorType"]], "setentityname() (date2chunk method)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.setEntityName"], [341, "sparknlp.annotator.date2_chunk.Date2Chunk.setEntityName"]], "sparknlp.annotator.date2_chunk": [[82, "module-sparknlp.annotator.date2_chunk"], [341, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency": [[83, "module-sparknlp.annotator.dependency"], [343, "module-sparknlp.annotator.dependency"]], "dependencyparserapproach (class in sparknlp.annotator.dependency.dependency_parser)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach"]], "dependencyparsermodel (class in sparknlp.annotator.dependency.dependency_parser)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel"]], "conllu (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.conllU"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.conllU"]], "dependencytreebank (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.dependencyTreeBank"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.dependencyTreeBank"]], "inputannotatortypes (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.inputAnnotatorTypes"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.inputAnnotatorTypes"]], "inputannotatortypes (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.inputAnnotatorTypes"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.inputAnnotatorTypes"]], "name (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.name"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.name"]], "numberofiterations (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.numberOfIterations"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.numberOfIterations"]], "outputannotatortype (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.outputAnnotatorType"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.outputAnnotatorType"]], "outputannotatortype (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.outputAnnotatorType"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.outputAnnotatorType"]], "perceptron (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.perceptron"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.perceptron"]], "pretrained() (dependencyparsermodel static method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.pretrained"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.pretrained"]], "setconllu() (dependencyparserapproach method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setConllU"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setConllU"]], "setdependencytreebank() (dependencyparserapproach method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setDependencyTreeBank"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setDependencyTreeBank"]], "setnumberofiterations() (dependencyparserapproach method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setNumberOfIterations"], [342, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setNumberOfIterations"]], "sparknlp.annotator.dependency.dependency_parser": [[84, "module-sparknlp.annotator.dependency.dependency_parser"], [342, "module-sparknlp.annotator.dependency.dependency_parser"]], "typeddependencyparserapproach (class in sparknlp.annotator.dependency.typed_dependency_parser)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach"]], "typeddependencyparsermodel (class in sparknlp.annotator.dependency.typed_dependency_parser)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel"]], "conll2009 (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conll2009"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conll2009"]], "conllformat (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.conllFormat"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.conllFormat"]], "conllu (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conllU"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conllU"]], "inputannotatortypes (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.inputAnnotatorTypes"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.inputAnnotatorTypes"]], "inputannotatortypes (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.inputAnnotatorTypes"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.inputAnnotatorTypes"]], "name (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.name"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.name"]], "numberofiterations (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.numberOfIterations"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.numberOfIterations"]], "outputannotatortype (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.outputAnnotatorType"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.outputAnnotatorType"]], "outputannotatortype (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.outputAnnotatorType"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.outputAnnotatorType"]], "pretrained() (typeddependencyparsermodel static method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.pretrained"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.pretrained"]], "setconll2009() (typeddependencyparserapproach method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConll2009"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConll2009"]], "setconllu() (typeddependencyparserapproach method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConllU"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConllU"]], "setnumberofiterations() (typeddependencyparserapproach method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setNumberOfIterations"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setNumberOfIterations"]], "sparknlp.annotator.dependency.typed_dependency_parser": [[85, "module-sparknlp.annotator.dependency.typed_dependency_parser"], [344, "module-sparknlp.annotator.dependency.typed_dependency_parser"]], "traindependencypipe (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainDependencyPipe"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainDependencyPipe"]], "trainoptions (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainOptions"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainOptions"]], "trainparameters (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainParameters"], [344, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainParameters"]], "documentcharactertextsplitter (class in sparknlp.annotator.document_character_text_splitter)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter"]], "chunkoverlap (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkOverlap"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkOverlap"]], "chunksize (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkSize"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkSize"]], "explodesplits (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.explodeSplits"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.explodeSplits"]], "inputannotatortypes (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.inputAnnotatorTypes"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.inputAnnotatorTypes"]], "keepseparators (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.keepSeparators"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.keepSeparators"]], "outputannotatortype (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.outputAnnotatorType"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.outputAnnotatorType"]], "patternsareregex (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.patternsAreRegex"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.patternsAreRegex"]], "setchunkoverlap() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkOverlap"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkOverlap"]], "setchunksize() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkSize"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkSize"]], "setexplodesplits() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setExplodeSplits"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setExplodeSplits"]], "setkeepseparators() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setKeepSeparators"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setKeepSeparators"]], "setpatternsareregex() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setPatternsAreRegex"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setPatternsAreRegex"]], "setsplitpatterns() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setSplitPatterns"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setSplitPatterns"]], "settrimwhitespace() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setTrimWhitespace"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setTrimWhitespace"]], "sparknlp.annotator.document_character_text_splitter": [[86, "module-sparknlp.annotator.document_character_text_splitter"], [345, "module-sparknlp.annotator.document_character_text_splitter"]], "splitpatterns (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.splitPatterns"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.splitPatterns"]], "trimwhitespace (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.trimWhitespace"], [345, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.trimWhitespace"]], "documentnormalizer (class in sparknlp.annotator.document_normalizer)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer"]], "action (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.action"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.action"]], "encoding (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.encoding"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.encoding"]], "inputannotatortypes (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.inputAnnotatorTypes"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.inputAnnotatorTypes"]], "lowercase (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.lowercase"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.lowercase"]], "outputannotatortype (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.outputAnnotatorType"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.outputAnnotatorType"]], "patterns (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.patterns"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.patterns"]], "policy (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.policy"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.policy"]], "replacement (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.replacement"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.replacement"]], "setaction() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setAction"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setAction"]], "setencoding() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setEncoding"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setEncoding"]], "setlowercase() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setLowercase"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setLowercase"]], "setpatterns() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPatterns"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPatterns"]], "setpolicy() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPolicy"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPolicy"]], "setreplacement() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setReplacement"], [346, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setReplacement"]], "sparknlp.annotator.document_normalizer": [[87, "module-sparknlp.annotator.document_normalizer"], [346, "module-sparknlp.annotator.document_normalizer"]], "documenttokensplitter (class in sparknlp.annotator.document_token_splitter)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter"]], "explodesplits (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.explodeSplits"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.explodeSplits"]], "inputannotatortypes (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.inputAnnotatorTypes"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.inputAnnotatorTypes"]], "numtokens (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.numTokens"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.numTokens"]], "outputannotatortype (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.outputAnnotatorType"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.outputAnnotatorType"]], "setexplodesplits() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setExplodeSplits"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setExplodeSplits"]], "setnumtokens() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setNumTokens"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setNumTokens"]], "settokenoverlap() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTokenOverlap"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTokenOverlap"]], "settrimwhitespace() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTrimWhitespace"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTrimWhitespace"]], "sparknlp.annotator.document_token_splitter": [[88, "module-sparknlp.annotator.document_token_splitter"], [347, "module-sparknlp.annotator.document_token_splitter"]], "tokenoverlap (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.tokenOverlap"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.tokenOverlap"]], "trimwhitespace (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.trimWhitespace"], [347, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.trimWhitespace"]], "sparknlp.annotator.embeddings": [[90, "module-sparknlp.annotator.embeddings"], [362, "module-sparknlp.annotator.embeddings"]], "albertembeddings (class in sparknlp.annotator.embeddings.albert_embeddings)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings"]], "configprotobytes (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.configProtoBytes"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.configProtoBytes"]], "inputannotatortypes (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.inputAnnotatorTypes"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (albertembeddings static method)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.loadSavedModel"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.loadSavedModel"]], "name (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.name"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.name"]], "outputannotatortype (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.outputAnnotatorType"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.outputAnnotatorType"]], "pretrained() (albertembeddings static method)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.pretrained"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.pretrained"]], "setconfigprotobytes() (albertembeddings method)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.setConfigProtoBytes"], [349, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.albert_embeddings": [[91, "module-sparknlp.annotator.embeddings.albert_embeddings"], [349, "module-sparknlp.annotator.embeddings.albert_embeddings"]], "autoggufembeddings (class in sparknlp.annotator.embeddings.auto_gguf_embeddings)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings"]], "defragmentationthreshold (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.defragmentationThreshold"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.defragmentationThreshold"]], "flashattention (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.flashAttention"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.flashAttention"]], "getmetadata() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.getMetadata"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.getMetadata"]], "gpusplitmode (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.gpuSplitMode"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.gpuSplitMode"]], "grpattnn (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnN"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnN"]], "grpattnw (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnW"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnW"]], "inputannotatortypes (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.inputAnnotatorTypes"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufembeddings static method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.loadSavedModel"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.loadSavedModel"]], "maingpu (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.mainGpu"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.mainGpu"]], "nbatch (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nBatch"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nBatch"]], "nchunks (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nChunks"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nChunks"]], "nctx (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nCtx"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nCtx"]], "ngpulayers (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nGpuLayers"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nGpuLayers"]], "nsequences (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nSequences"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nSequences"]], "nthreads (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreads"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreads"]], "nthreadsbatch (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreadsBatch"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreadsBatch"]], "nubatch (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nUbatch"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nUbatch"]], "name (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.name"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.name"]], "nokvoffload (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.noKvOffload"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.noKvOffload"]], "numastrategy (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.numaStrategy"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.numaStrategy"]], "outputannotatortype (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.outputAnnotatorType"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.outputAnnotatorType"]], "poolingtype (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.poolingType"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.poolingType"]], "pretrained() (autoggufembeddings static method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.pretrained"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.pretrained"]], "ropefreqbase (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqBase"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqBase"]], "ropefreqscale (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqScale"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqScale"]], "ropescalingtype (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeScalingType"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeScalingType"]], "setdefragmentationthreshold() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setDefragmentationThreshold"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setDefragmentationThreshold"]], "setflashattention() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setFlashAttention"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setFlashAttention"]], "setgpusplitmode() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGpuSplitMode"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGpuSplitMode"]], "setgrpattnn() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnN"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnN"]], "setgrpattnw() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnW"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnW"]], "setmaingpu() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setMainGpu"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setMainGpu"]], "setnbatch() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNBatch"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNBatch"]], "setnchunks() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNChunks"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNChunks"]], "setnctx() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNCtx"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNCtx"]], "setngpulayers() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNGpuLayers"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNGpuLayers"]], "setnparallel() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNParallel"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNParallel"]], "setnsequences() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNSequences"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNSequences"]], "setnthreads() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreads"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreads"]], "setnthreadsbatch() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreadsBatch"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreadsBatch"]], "setnubatch() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNUbatch"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNUbatch"]], "setnokvoffload() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNoKvOffload"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNoKvOffload"]], "setnumastrategy() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNumaStrategy"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNumaStrategy"]], "setpoolingtype() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setPoolingType"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setPoolingType"]], "setropefreqbase() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqBase"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqBase"]], "setropefreqscale() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqScale"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqScale"]], "setropescalingtype() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeScalingType"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeScalingType"]], "settensorsplit() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setTensorSplit"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setTensorSplit"]], "setusemlock() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMlock"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMlock"]], "setusemmap() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMmap"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMmap"]], "setyarnattnfactor() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnAttnFactor"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnAttnFactor"]], "setyarnbetafast() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaFast"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaFast"]], "setyarnbetaslow() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaSlow"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaSlow"]], "setyarnextfactor() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnExtFactor"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnExtFactor"]], "setyarnorigctx() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnOrigCtx"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnOrigCtx"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings": [[92, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"], [350, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"]], "tensorsplit (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.tensorSplit"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.tensorSplit"]], "usemlock (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMlock"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMlock"]], "usemmap (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMmap"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMmap"]], "yarnattnfactor (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnAttnFactor"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnAttnFactor"]], "yarnbetafast (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaFast"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaFast"]], "yarnbetaslow (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaSlow"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaSlow"]], "yarnextfactor (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnExtFactor"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnExtFactor"]], "yarnorigctx (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnOrigCtx"], [350, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnOrigCtx"]], "bertembeddings (class in sparknlp.annotator.embeddings.bert_embeddings)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings"]], "configprotobytes (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.configProtoBytes"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.configProtoBytes"]], "inputannotatortypes (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.inputAnnotatorTypes"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (bertembeddings static method)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.loadSavedModel"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.loadSavedModel"]], "name (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.name"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.name"]], "outputannotatortype (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.outputAnnotatorType"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.outputAnnotatorType"]], "pretrained() (bertembeddings static method)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.pretrained"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.pretrained"]], "setconfigprotobytes() (bertembeddings method)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.setConfigProtoBytes"], [351, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.bert_embeddings": [[93, "module-sparknlp.annotator.embeddings.bert_embeddings"], [351, "module-sparknlp.annotator.embeddings.bert_embeddings"]], "bertsentenceembeddings (class in sparknlp.annotator.embeddings.bert_sentence_embeddings)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings"]], "configprotobytes (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.configProtoBytes"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.configProtoBytes"]], "inputannotatortypes (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.inputAnnotatorTypes"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.inputAnnotatorTypes"]], "islong (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.isLong"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.isLong"]], "loadsavedmodel() (bertsentenceembeddings static method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.loadSavedModel"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.loadSavedModel"]], "name (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.name"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.name"]], "outputannotatortype (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.outputAnnotatorType"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.outputAnnotatorType"]], "pretrained() (bertsentenceembeddings static method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.pretrained"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.pretrained"]], "setconfigprotobytes() (bertsentenceembeddings method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setConfigProtoBytes"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setConfigProtoBytes"]], "setislong() (bertsentenceembeddings method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setIsLong"], [352, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setIsLong"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings": [[94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"], [352, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "bgeembeddings (class in sparknlp.annotator.embeddings.bge_embeddings)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings"]], "configprotobytes (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.configProtoBytes"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.configProtoBytes"]], "inputannotatortypes (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.inputAnnotatorTypes"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (bgeembeddings static method)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.loadSavedModel"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.loadSavedModel"]], "name (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.name"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.name"]], "outputannotatortype (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.outputAnnotatorType"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.outputAnnotatorType"]], "pretrained() (bgeembeddings static method)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.pretrained"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.pretrained"]], "setconfigprotobytes() (bgeembeddings method)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.setConfigProtoBytes"], [353, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.bge_embeddings": [[95, "module-sparknlp.annotator.embeddings.bge_embeddings"], [353, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "camembertembeddings (class in sparknlp.annotator.embeddings.camembert_embeddings)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings"]], "configprotobytes (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.configProtoBytes"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.configProtoBytes"]], "inputannotatortypes (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.inputAnnotatorTypes"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (camembertembeddings static method)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.loadSavedModel"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.loadSavedModel"]], "name (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.name"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.name"]], "outputannotatortype (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.outputAnnotatorType"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.outputAnnotatorType"]], "pretrained() (camembertembeddings static method)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.pretrained"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.pretrained"]], "setconfigprotobytes() (camembertembeddings method)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.setConfigProtoBytes"], [354, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.camembert_embeddings": [[96, "module-sparknlp.annotator.embeddings.camembert_embeddings"], [354, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "chunkembeddings (class in sparknlp.annotator.embeddings.chunk_embeddings)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings"]], "inputannotatortypes (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.inputAnnotatorTypes"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.inputAnnotatorTypes"]], "name (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.name"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.name"]], "outputannotatortype (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.outputAnnotatorType"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.outputAnnotatorType"]], "poolingstrategy (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.poolingStrategy"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.poolingStrategy"]], "setpoolingstrategy() (chunkembeddings method)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setPoolingStrategy"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setPoolingStrategy"]], "setskipoov() (chunkembeddings method)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setSkipOOV"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setSkipOOV"]], "skipoov (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.skipOOV"], [355, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.skipOOV"]], "sparknlp.annotator.embeddings.chunk_embeddings": [[97, "module-sparknlp.annotator.embeddings.chunk_embeddings"], [355, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "debertaembeddings (class in sparknlp.annotator.embeddings.deberta_embeddings)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings"]], "configprotobytes (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.configProtoBytes"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.configProtoBytes"]], "inputannotatortypes (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.inputAnnotatorTypes"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (debertaembeddings static method)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.loadSavedModel"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.loadSavedModel"]], "name (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.name"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.name"]], "outputannotatortype (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.outputAnnotatorType"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.outputAnnotatorType"]], "pretrained() (debertaembeddings static method)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.pretrained"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.pretrained"]], "setconfigprotobytes() (debertaembeddings method)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.setConfigProtoBytes"], [356, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.deberta_embeddings": [[98, "module-sparknlp.annotator.embeddings.deberta_embeddings"], [356, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "distilbertembeddings (class in sparknlp.annotator.embeddings.distil_bert_embeddings)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings"]], "configprotobytes (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.configProtoBytes"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.configProtoBytes"]], "inputannotatortypes (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.inputAnnotatorTypes"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertembeddings static method)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.loadSavedModel"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.loadSavedModel"]], "name (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.name"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.name"]], "outputannotatortype (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.outputAnnotatorType"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.outputAnnotatorType"]], "pretrained() (distilbertembeddings static method)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.pretrained"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.pretrained"]], "setconfigprotobytes() (distilbertembeddings method)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.setConfigProtoBytes"], [357, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.distil_bert_embeddings": [[99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"], [357, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "doc2vecapproach (class in sparknlp.annotator.embeddings.doc2vec)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach"]], "doc2vecmodel (class in sparknlp.annotator.embeddings.doc2vec)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel"]], "getvectors() (doc2vecmodel method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.getVectors"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.getVectors"]], "inputannotatortypes (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.inputAnnotatorTypes"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.inputAnnotatorTypes"]], "inputannotatortypes (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.inputAnnotatorTypes"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.inputAnnotatorTypes"]], "maxiter (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxIter"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxIter"]], "maxsentencelength (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxSentenceLength"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxSentenceLength"]], "mincount (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.minCount"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.minCount"]], "name (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.name"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.name"]], "numpartitions (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.numPartitions"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.numPartitions"]], "outputannotatortype (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.outputAnnotatorType"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.outputAnnotatorType"]], "outputannotatortype (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.outputAnnotatorType"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.outputAnnotatorType"]], "pretrained() (doc2vecmodel static method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.pretrained"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.pretrained"]], "seed (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.seed"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.seed"]], "setmaxiter() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxIter"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxIter"]], "setmaxsentencelength() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxSentenceLength"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxSentenceLength"]], "setmincount() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMinCount"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMinCount"]], "setnumpartitions() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setNumPartitions"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setNumPartitions"]], "setseed() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setSeed"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setSeed"]], "setstepsize() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setStepSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setStepSize"]], "setvectorsize() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setVectorSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setVectorSize"]], "setvectorsize() (doc2vecmodel method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.setVectorSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.setVectorSize"]], "setwindowsize() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setWindowSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setWindowSize"]], "sparknlp.annotator.embeddings.doc2vec": [[100, "module-sparknlp.annotator.embeddings.doc2vec"], [358, "module-sparknlp.annotator.embeddings.doc2vec"]], "stepsize (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.stepSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.stepSize"]], "vectorsize (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.vectorSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.vectorSize"]], "vectorsize (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.vectorSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.vectorSize"]], "windowsize (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.windowSize"], [358, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.windowSize"]], "e5embeddings (class in sparknlp.annotator.embeddings.e5_embeddings)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings"]], "configprotobytes (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.configProtoBytes"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.configProtoBytes"]], "inputannotatortypes (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.inputAnnotatorTypes"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.inputAnnotatorTypes"]], "loadsavedmodel() (e5embeddings static method)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.loadSavedModel"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.loadSavedModel"]], "name (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.name"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.name"]], "outputannotatortype (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.outputAnnotatorType"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.outputAnnotatorType"]], "pretrained() (e5embeddings static method)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.pretrained"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.pretrained"]], "setconfigprotobytes() (e5embeddings method)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.setConfigProtoBytes"], [359, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.e5_embeddings": [[101, "module-sparknlp.annotator.embeddings.e5_embeddings"], [359, "module-sparknlp.annotator.embeddings.e5_embeddings"]], "e5vembeddings (class in sparknlp.annotator.embeddings.e5v_embeddings)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings"], [360, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings"]], "inputannotatortypes (e5vembeddings attribute)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.inputAnnotatorTypes"], [360, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (e5vembeddings static method)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.loadSavedModel"], [360, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.loadSavedModel"]], "name (e5vembeddings attribute)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.name"], [360, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.name"]], "outputannotatortype (e5vembeddings attribute)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.outputAnnotatorType"], [360, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.outputAnnotatorType"]], "pretrained() (e5vembeddings static method)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.pretrained"], [360, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.pretrained"]], "sparknlp.annotator.embeddings.e5v_embeddings": [[102, "module-sparknlp.annotator.embeddings.e5v_embeddings"], [360, "module-sparknlp.annotator.embeddings.e5v_embeddings"]], "elmoembeddings (class in sparknlp.annotator.embeddings.elmo_embeddings)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings"]], "batchsize (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.batchSize"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.batchSize"]], "configprotobytes (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.configProtoBytes"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.configProtoBytes"]], "inputannotatortypes (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.inputAnnotatorTypes"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (elmoembeddings static method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.loadSavedModel"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.loadSavedModel"]], "name (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.name"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.name"]], "outputannotatortype (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.outputAnnotatorType"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.outputAnnotatorType"]], "poolinglayer (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.poolingLayer"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.poolingLayer"]], "pretrained() (elmoembeddings static method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.pretrained"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.pretrained"]], "setbatchsize() (elmoembeddings method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setBatchSize"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setBatchSize"]], "setconfigprotobytes() (elmoembeddings method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setConfigProtoBytes"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setConfigProtoBytes"]], "setpoolinglayer() (elmoembeddings method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setPoolingLayer"], [361, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setPoolingLayer"]], "sparknlp.annotator.embeddings.elmo_embeddings": [[103, "module-sparknlp.annotator.embeddings.elmo_embeddings"], [361, "module-sparknlp.annotator.embeddings.elmo_embeddings"]], "instructorembeddings (class in sparknlp.annotator.embeddings.instructor_embeddings)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings"]], "configprotobytes (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.configProtoBytes"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.configProtoBytes"]], "inputannotatortypes (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.inputAnnotatorTypes"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.inputAnnotatorTypes"]], "instruction (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.instruction"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.instruction"]], "loadsavedmodel() (instructorembeddings static method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.loadSavedModel"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.loadSavedModel"]], "name (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.name"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.name"]], "outputannotatortype (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.outputAnnotatorType"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.outputAnnotatorType"]], "pretrained() (instructorembeddings static method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.pretrained"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.pretrained"]], "setconfigprotobytes() (instructorembeddings method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setConfigProtoBytes"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setConfigProtoBytes"]], "setinstruction() (instructorembeddings method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setInstruction"], [363, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setInstruction"]], "sparknlp.annotator.embeddings.instructor_embeddings": [[104, "module-sparknlp.annotator.embeddings.instructor_embeddings"], [363, "module-sparknlp.annotator.embeddings.instructor_embeddings"]], "longformerembeddings (class in sparknlp.annotator.embeddings.longformer_embeddings)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings"]], "configprotobytes (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.configProtoBytes"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.configProtoBytes"]], "inputannotatortypes (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.inputAnnotatorTypes"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (longformerembeddings static method)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.loadSavedModel"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.loadSavedModel"]], "name (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.name"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.name"]], "outputannotatortype (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.outputAnnotatorType"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.outputAnnotatorType"]], "pretrained() (longformerembeddings static method)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.pretrained"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.pretrained"]], "setconfigprotobytes() (longformerembeddings method)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.setConfigProtoBytes"], [364, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.longformer_embeddings": [[105, "module-sparknlp.annotator.embeddings.longformer_embeddings"], [364, "module-sparknlp.annotator.embeddings.longformer_embeddings"]], "minilmembeddings (class in sparknlp.annotator.embeddings.minilm_embeddings)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings"]], "configprotobytes (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.configProtoBytes"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.configProtoBytes"]], "inputannotatortypes (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.inputAnnotatorTypes"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (minilmembeddings static method)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.loadSavedModel"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.loadSavedModel"]], "name (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.name"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.name"]], "outputannotatortype (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.outputAnnotatorType"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.outputAnnotatorType"]], "pretrained() (minilmembeddings static method)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.pretrained"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.pretrained"]], "setconfigprotobytes() (minilmembeddings method)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.setConfigProtoBytes"], [365, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.minilm_embeddings": [[106, "module-sparknlp.annotator.embeddings.minilm_embeddings"], [365, "module-sparknlp.annotator.embeddings.minilm_embeddings"]], "mpnetembeddings (class in sparknlp.annotator.embeddings.mpnet_embeddings)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings"]], "configprotobytes (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.configProtoBytes"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.configProtoBytes"]], "inputannotatortypes (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.inputAnnotatorTypes"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetembeddings static method)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.loadSavedModel"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.loadSavedModel"]], "name (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.name"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.name"]], "outputannotatortype (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.outputAnnotatorType"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.outputAnnotatorType"]], "pretrained() (mpnetembeddings static method)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.pretrained"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.pretrained"]], "setconfigprotobytes() (mpnetembeddings method)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.setConfigProtoBytes"], [366, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.mpnet_embeddings": [[107, "module-sparknlp.annotator.embeddings.mpnet_embeddings"], [366, "module-sparknlp.annotator.embeddings.mpnet_embeddings"]], "mxbaiembeddings (class in sparknlp.annotator.embeddings.mxbai_embeddings)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings"]], "inputannotatortypes (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.inputAnnotatorTypes"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (mxbaiembeddings static method)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.loadSavedModel"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.loadSavedModel"]], "name (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.name"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.name"]], "outputannotatortype (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.outputAnnotatorType"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.outputAnnotatorType"]], "poolingstrategy (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.poolingStrategy"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.poolingStrategy"]], "pretrained() (mxbaiembeddings static method)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.pretrained"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.pretrained"]], "setpoolingstrategy() (mxbaiembeddings method)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.setPoolingStrategy"], [367, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.mxbai_embeddings": [[108, "module-sparknlp.annotator.embeddings.mxbai_embeddings"], [367, "module-sparknlp.annotator.embeddings.mxbai_embeddings"]], "nomicembeddings (class in sparknlp.annotator.embeddings.nomic_embeddings)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings"]], "configprotobytes (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.configProtoBytes"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.configProtoBytes"]], "inputannotatortypes (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.inputAnnotatorTypes"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (nomicembeddings static method)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.loadSavedModel"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.loadSavedModel"]], "name (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.name"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.name"]], "outputannotatortype (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.outputAnnotatorType"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.outputAnnotatorType"]], "pretrained() (nomicembeddings static method)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.pretrained"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.pretrained"]], "setconfigprotobytes() (nomicembeddings method)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.setConfigProtoBytes"], [368, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.nomic_embeddings": [[109, "module-sparknlp.annotator.embeddings.nomic_embeddings"], [368, "module-sparknlp.annotator.embeddings.nomic_embeddings"]], "robertaembeddings (class in sparknlp.annotator.embeddings.roberta_embeddings)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings"]], "configprotobytes (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.configProtoBytes"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.configProtoBytes"]], "inputannotatortypes (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.inputAnnotatorTypes"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (robertaembeddings static method)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.loadSavedModel"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.loadSavedModel"]], "name (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.name"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.name"]], "outputannotatortype (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.outputAnnotatorType"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.outputAnnotatorType"]], "pretrained() (robertaembeddings static method)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.pretrained"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.pretrained"]], "setconfigprotobytes() (robertaembeddings method)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.setConfigProtoBytes"], [369, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_embeddings": [[110, "module-sparknlp.annotator.embeddings.roberta_embeddings"], [369, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "robertasentenceembeddings (class in sparknlp.annotator.embeddings.roberta_sentence_embeddings)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings"]], "configprotobytes (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.configProtoBytes"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.configProtoBytes"]], "inputannotatortypes (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.inputAnnotatorTypes"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (robertasentenceembeddings static method)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.loadSavedModel"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.loadSavedModel"]], "name (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.name"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.name"]], "outputannotatortype (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.outputAnnotatorType"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.outputAnnotatorType"]], "pretrained() (robertasentenceembeddings static method)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.pretrained"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.pretrained"]], "setconfigprotobytes() (robertasentenceembeddings method)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.setConfigProtoBytes"], [370, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings": [[111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"], [370, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sentenceembeddings (class in sparknlp.annotator.embeddings.sentence_embeddings)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings"], [371, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings"]], "inputannotatortypes (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.inputAnnotatorTypes"], [371, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.inputAnnotatorTypes"]], "name (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.name"], [371, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.name"]], "outputannotatortype (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.outputAnnotatorType"], [371, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.outputAnnotatorType"]], "poolingstrategy (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.poolingStrategy"], [371, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.poolingStrategy"]], "setpoolingstrategy() (sentenceembeddings method)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.setPoolingStrategy"], [371, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.sentence_embeddings": [[112, "module-sparknlp.annotator.embeddings.sentence_embeddings"], [371, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "snowflakeembeddings (class in sparknlp.annotator.embeddings.snowflake_embeddings)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings"]], "inputannotatortypes (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.inputAnnotatorTypes"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (snowflakeembeddings static method)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.loadSavedModel"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.loadSavedModel"]], "name (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.name"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.name"]], "outputannotatortype (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.outputAnnotatorType"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.outputAnnotatorType"]], "poolingstrategy (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.poolingStrategy"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.poolingStrategy"]], "pretrained() (snowflakeembeddings static method)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.pretrained"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.pretrained"]], "setpoolingstrategy() (snowflakeembeddings method)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.setPoolingStrategy"], [372, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.snowflake_embeddings": [[113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"], [372, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "uaeembeddings (class in sparknlp.annotator.embeddings.uae_embeddings)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings"]], "inputannotatortypes (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.inputAnnotatorTypes"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (uaeembeddings static method)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.loadSavedModel"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.loadSavedModel"]], "name (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.name"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.name"]], "outputannotatortype (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.outputAnnotatorType"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.outputAnnotatorType"]], "poolingstrategy (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.poolingStrategy"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.poolingStrategy"]], "pretrained() (uaeembeddings static method)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.pretrained"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.pretrained"]], "setpoolingstrategy() (uaeembeddings method)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.setPoolingStrategy"], [373, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.uae_embeddings": [[114, "module-sparknlp.annotator.embeddings.uae_embeddings"], [373, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "universalsentenceencoder (class in sparknlp.annotator.embeddings.universal_sentence_encoder)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder"]], "configprotobytes (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.configProtoBytes"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.configProtoBytes"]], "inputannotatortypes (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.inputAnnotatorTypes"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.inputAnnotatorTypes"]], "loadsp (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSP"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSP"]], "loadsavedmodel() (universalsentenceencoder static method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSavedModel"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSavedModel"]], "name (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.name"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.name"]], "outputannotatortype (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.outputAnnotatorType"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.outputAnnotatorType"]], "pretrained() (universalsentenceencoder static method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.pretrained"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.pretrained"]], "setconfigprotobytes() (universalsentenceencoder method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setConfigProtoBytes"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setConfigProtoBytes"]], "setloadsp() (universalsentenceencoder method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setLoadSP"], [374, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setLoadSP"]], "sparknlp.annotator.embeddings.universal_sentence_encoder": [[115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"], [374, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "word2vecapproach (class in sparknlp.annotator.embeddings.word2vec)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach"]], "word2vecmodel (class in sparknlp.annotator.embeddings.word2vec)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel"]], "getvectors() (word2vecmodel method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.getVectors"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.getVectors"]], "inputannotatortypes (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.inputAnnotatorTypes"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.inputAnnotatorTypes"]], "inputannotatortypes (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.inputAnnotatorTypes"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.inputAnnotatorTypes"]], "maxiter (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxIter"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxIter"]], "maxsentencelength (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxSentenceLength"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxSentenceLength"]], "mincount (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.minCount"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.minCount"]], "name (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.name"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.name"]], "numpartitions (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.numPartitions"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.numPartitions"]], "outputannotatortype (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.outputAnnotatorType"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.outputAnnotatorType"]], "outputannotatortype (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.outputAnnotatorType"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.outputAnnotatorType"]], "pretrained() (word2vecmodel static method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.pretrained"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.pretrained"]], "seed (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.seed"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.seed"]], "setmaxiter() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxIter"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxIter"]], "setmaxsentencelength() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxSentenceLength"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxSentenceLength"]], "setmincount() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMinCount"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMinCount"]], "setnumpartitions() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setNumPartitions"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setNumPartitions"]], "setseed() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setSeed"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setSeed"]], "setstepsize() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setStepSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setStepSize"]], "setvectorsize() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setVectorSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setVectorSize"]], "setvectorsize() (word2vecmodel method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.setVectorSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.setVectorSize"]], "setwindowsize() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setWindowSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setWindowSize"]], "sparknlp.annotator.embeddings.word2vec": [[116, "module-sparknlp.annotator.embeddings.word2vec"], [375, "module-sparknlp.annotator.embeddings.word2vec"]], "stepsize (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.stepSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.stepSize"]], "vectorsize (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.vectorSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.vectorSize"]], "vectorsize (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.vectorSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.vectorSize"]], "windowsize (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.windowSize"], [375, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.windowSize"]], "wordembeddings (class in sparknlp.annotator.embeddings.word_embeddings)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings"]], "wordembeddingsmodel (class in sparknlp.annotator.embeddings.word_embeddings)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel"]], "databases (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.databases"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.databases"]], "inputannotatortypes (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.inputAnnotatorTypes"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.inputAnnotatorTypes"]], "inputannotatortypes (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.inputAnnotatorTypes"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.inputAnnotatorTypes"]], "loadstorage() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.loadStorage"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.loadStorage"]], "name (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.name"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.name"]], "name (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.name"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.name"]], "outputannotatortype (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.outputAnnotatorType"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.outputAnnotatorType"]], "outputannotatortype (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.outputAnnotatorType"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.outputAnnotatorType"]], "overallcoverage() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.overallCoverage"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.overallCoverage"]], "pretrained() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.pretrained"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.pretrained"]], "readcachesize (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.readCacheSize"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.readCacheSize"]], "readcachesize (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.readCacheSize"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.readCacheSize"]], "setreadcachesize() (wordembeddings method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setReadCacheSize"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setReadCacheSize"]], "setreadcachesize() (wordembeddingsmodel method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.setReadCacheSize"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.setReadCacheSize"]], "setwritebuffersize() (wordembeddings method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setWriteBufferSize"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setWriteBufferSize"]], "sparknlp.annotator.embeddings.word_embeddings": [[117, "module-sparknlp.annotator.embeddings.word_embeddings"], [376, "module-sparknlp.annotator.embeddings.word_embeddings"]], "withcoveragecolumn() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.withCoverageColumn"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.withCoverageColumn"]], "writebuffersize (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.writeBufferSize"], [376, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.writeBufferSize"]], "xlmrobertaembeddings (class in sparknlp.annotator.embeddings.xlm_roberta_embeddings)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings"]], "configprotobytes (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.configProtoBytes"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.configProtoBytes"]], "inputannotatortypes (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.inputAnnotatorTypes"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaembeddings static method)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.loadSavedModel"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.loadSavedModel"]], "name (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.name"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.name"]], "outputannotatortype (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.outputAnnotatorType"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.outputAnnotatorType"]], "pretrained() (xlmrobertaembeddings static method)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.pretrained"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.pretrained"]], "setconfigprotobytes() (xlmrobertaembeddings method)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.setConfigProtoBytes"], [377, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings": [[118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"], [377, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "xlmrobertasentenceembeddings (class in sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings"]], "configprotobytes (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.configProtoBytes"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.configProtoBytes"]], "inputannotatortypes (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.inputAnnotatorTypes"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertasentenceembeddings static method)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.loadSavedModel"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.loadSavedModel"]], "name (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.name"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.name"]], "outputannotatortype (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.outputAnnotatorType"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.outputAnnotatorType"]], "pretrained() (xlmrobertasentenceembeddings static method)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.pretrained"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.pretrained"]], "setconfigprotobytes() (xlmrobertasentenceembeddings method)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.setConfigProtoBytes"], [378, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings": [[119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"], [378, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "xlnetembeddings (class in sparknlp.annotator.embeddings.xlnet_embeddings)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings"]], "configprotobytes (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.configProtoBytes"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.configProtoBytes"]], "inputannotatortypes (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.inputAnnotatorTypes"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (xlnetembeddings static method)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.loadSavedModel"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.loadSavedModel"]], "name (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.name"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.name"]], "outputannotatortype (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.outputAnnotatorType"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.outputAnnotatorType"]], "pretrained() (xlnetembeddings static method)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.pretrained"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.pretrained"]], "setconfigprotobytes() (xlnetembeddings method)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.setConfigProtoBytes"], [379, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlnet_embeddings": [[120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"], [379, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er": [[121, "module-sparknlp.annotator.er"], [381, "module-sparknlp.annotator.er"]], "entityrulerapproach (class in sparknlp.annotator.er.entity_ruler)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach"]], "entityrulermodel (class in sparknlp.annotator.er.entity_ruler)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel"]], "alphabet (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.alphabet"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.alphabet"]], "database (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.database"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.database"]], "inputannotatortypes (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.inputAnnotatorTypes"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.inputAnnotatorTypes"]], "inputannotatortypes (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.inputAnnotatorTypes"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.inputAnnotatorTypes"]], "loadstorage() (entityrulermodel static method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.loadStorage"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.loadStorage"]], "name (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.name"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.name"]], "name (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.name"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.name"]], "optionalinputannotatortypes (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.optionalInputAnnotatorTypes"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.optionalInputAnnotatorTypes"]], "optionalinputannotatortypes (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.optionalInputAnnotatorTypes"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.optionalInputAnnotatorTypes"]], "outputannotatortype (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.outputAnnotatorType"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.outputAnnotatorType"]], "outputannotatortype (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.outputAnnotatorType"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.outputAnnotatorType"]], "patternsresource (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.patternsResource"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.patternsResource"]], "pretrained() (entityrulermodel static method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.pretrained"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.pretrained"]], "sentencematch (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.sentenceMatch"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.sentenceMatch"]], "setalphabetresource() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setAlphabetResource"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setAlphabetResource"]], "setpatternsresource() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setPatternsResource"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setPatternsResource"]], "setsentencematch() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setSentenceMatch"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setSentenceMatch"]], "setusestorage() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setUseStorage"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setUseStorage"]], "sparknlp.annotator.er.entity_ruler": [[122, "module-sparknlp.annotator.er.entity_ruler"], [380, "module-sparknlp.annotator.er.entity_ruler"]], "usestorage (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.useStorage"], [380, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.useStorage"]], "graphextraction (class in sparknlp.annotator.graph_extraction)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction"]], "delimiter (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.delimiter"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.delimiter"]], "dependencyparsermodel (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.dependencyParserModel"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.dependencyParserModel"]], "entitytypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.entityTypes"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.entityTypes"]], "explodeentities (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.explodeEntities"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.explodeEntities"]], "includeedges (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.includeEdges"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.includeEdges"]], "inputannotatortypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.inputAnnotatorTypes"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.inputAnnotatorTypes"]], "maxsentencesize (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.maxSentenceSize"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.maxSentenceSize"]], "mergeentities (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntities"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntities"]], "mergeentitiesiobformat (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntitiesIOBFormat"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntitiesIOBFormat"]], "minsentencesize (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.minSentenceSize"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.minSentenceSize"]], "name (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.name"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.name"]], "optionalinputannotatortypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.optionalInputAnnotatorTypes"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.optionalInputAnnotatorTypes"]], "outputannotatortype (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.outputAnnotatorType"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.outputAnnotatorType"]], "posmodel (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.posModel"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.posModel"]], "relationshiptypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.relationshipTypes"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.relationshipTypes"]], "roottokens (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.rootTokens"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.rootTokens"]], "setdelimiter() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setDelimiter"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setDelimiter"]], "setdependencyparsermodel() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setDependencyParserModel"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setDependencyParserModel"]], "setentitytypes() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setEntityTypes"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setEntityTypes"]], "setexplodeentities() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setExplodeEntities"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setExplodeEntities"]], "setincludeedges() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setIncludeEdges"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setIncludeEdges"]], "setmaxsentencesize() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMaxSentenceSize"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setMaxSentenceSize"]], "setmergeentities() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntities"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntities"]], "setmergeentitiesiobformat() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntitiesIOBFormat"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntitiesIOBFormat"]], "setminsentencesize() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMinSentenceSize"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setMinSentenceSize"]], "setposmodel() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setPosModel"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setPosModel"]], "setrelationshiptypes() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setRelationshipTypes"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setRelationshipTypes"]], "setroottokens() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setRootTokens"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setRootTokens"]], "settypeddependencyparsermodel() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setTypedDependencyParserModel"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.setTypedDependencyParserModel"]], "sparknlp.annotator.graph_extraction": [[123, "module-sparknlp.annotator.graph_extraction"], [382, "module-sparknlp.annotator.graph_extraction"]], "typeddependencyparsermodel (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.typedDependencyParserModel"], [382, "sparknlp.annotator.graph_extraction.GraphExtraction.typedDependencyParserModel"]], "sparknlp.annotator.keyword_extraction": [[124, "module-sparknlp.annotator.keyword_extraction"], [384, "module-sparknlp.annotator.keyword_extraction"]], "yakekeywordextraction (class in sparknlp.annotator.keyword_extraction.yake_keyword_extraction)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction"]], "getstopwords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.getStopWords"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.getStopWords"]], "inputannotatortypes (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.inputAnnotatorTypes"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.inputAnnotatorTypes"]], "loaddefaultstopwords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.loadDefaultStopWords"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.loadDefaultStopWords"]], "maxngrams (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.maxNGrams"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.maxNGrams"]], "minngrams (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.minNGrams"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.minNGrams"]], "nkeywords (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.nKeywords"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.nKeywords"]], "name (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.name"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.name"]], "outputannotatortype (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.outputAnnotatorType"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.outputAnnotatorType"]], "setmaxngrams() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMaxNGrams"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMaxNGrams"]], "setminngrams() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMinNGrams"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMinNGrams"]], "setnkeywords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setNKeywords"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setNKeywords"]], "setstopwords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setStopWords"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setStopWords"]], "setthreshold() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setThreshold"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setThreshold"]], "setwindowsize() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setWindowSize"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setWindowSize"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction": [[125, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"], [385, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"]], "stopwords (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.stopWords"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.stopWords"]], "threshold (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.threshold"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.threshold"]], "windowsize (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.windowSize"], [385, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.windowSize"]], "sparknlp.annotator.ld_dl": [[126, "module-sparknlp.annotator.ld_dl"], [386, "module-sparknlp.annotator.ld_dl"]], "languagedetectordl (class in sparknlp.annotator.ld_dl.language_detector_dl)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL"]], "coalescesentences (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.coalesceSentences"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.coalesceSentences"]], "configprotobytes (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.configProtoBytes"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.configProtoBytes"]], "inputannotatortypes (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.inputAnnotatorTypes"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.inputAnnotatorTypes"]], "languages (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.languages"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.languages"]], "name (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.name"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.name"]], "outputannotatortype (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.outputAnnotatorType"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.outputAnnotatorType"]], "pretrained() (languagedetectordl static method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.pretrained"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.pretrained"]], "setcoalescesentences() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setCoalesceSentences"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setCoalesceSentences"]], "setconfigprotobytes() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setConfigProtoBytes"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setConfigProtoBytes"]], "setthreshold() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThreshold"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThreshold"]], "setthresholdlabel() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThresholdLabel"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThresholdLabel"]], "sparknlp.annotator.ld_dl.language_detector_dl": [[127, "module-sparknlp.annotator.ld_dl.language_detector_dl"], [387, "module-sparknlp.annotator.ld_dl.language_detector_dl"]], "threshold (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.threshold"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.threshold"]], "thresholdlabel (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.thresholdLabel"], [387, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.thresholdLabel"]], "lemmatizer (class in sparknlp.annotator.lemmatizer)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer"]], "lemmatizermodel (class in sparknlp.annotator.lemmatizer)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel"], [388, "sparknlp.annotator.lemmatizer.LemmatizerModel"]], "dictionary (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.dictionary"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.dictionary"]], "formcol (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.formCol"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.formCol"]], "inputannotatortypes (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.inputAnnotatorTypes"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.inputAnnotatorTypes"]], "inputannotatortypes (lemmatizermodel attribute)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.inputAnnotatorTypes"], [388, "sparknlp.annotator.lemmatizer.LemmatizerModel.inputAnnotatorTypes"]], "lemmacol (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.lemmaCol"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.lemmaCol"]], "name (lemmatizermodel attribute)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.name"], [388, "sparknlp.annotator.lemmatizer.LemmatizerModel.name"]], "outputannotatortype (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.outputAnnotatorType"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.outputAnnotatorType"]], "outputannotatortype (lemmatizermodel attribute)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.outputAnnotatorType"], [388, "sparknlp.annotator.lemmatizer.LemmatizerModel.outputAnnotatorType"]], "pretrained() (lemmatizermodel static method)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.pretrained"], [388, "sparknlp.annotator.lemmatizer.LemmatizerModel.pretrained"]], "setdictionary() (lemmatizer method)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.setDictionary"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.setDictionary"]], "setformcol() (lemmatizer method)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.setFormCol"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.setFormCol"]], "setlemmacol() (lemmatizer method)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.setLemmaCol"], [388, "sparknlp.annotator.lemmatizer.Lemmatizer.setLemmaCol"]], "sparknlp.annotator.lemmatizer": [[128, "module-sparknlp.annotator.lemmatizer"], [388, "module-sparknlp.annotator.lemmatizer"]], "sparknlp.annotator.matcher": [[129, "module-sparknlp.annotator.matcher"], [391, "module-sparknlp.annotator.matcher"]], "bigtextmatcher (class in sparknlp.annotator.matcher.big_text_matcher)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher"]], "bigtextmatchermodel (class in sparknlp.annotator.matcher.big_text_matcher)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel"]], "casesensitive (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.caseSensitive"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.caseSensitive"]], "casesensitive (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.caseSensitive"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.caseSensitive"]], "databases (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.databases"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.databases"]], "entities (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.entities"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.entities"]], "inputannotatortypes (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.inputAnnotatorTypes"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.inputAnnotatorTypes"]], "inputannotatortypes (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.inputAnnotatorTypes"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.inputAnnotatorTypes"]], "loadstorage() (bigtextmatchermodel static method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.loadStorage"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.loadStorage"]], "mergeoverlapping (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.mergeOverlapping"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.mergeOverlapping"]], "mergeoverlapping (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.mergeOverlapping"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.mergeOverlapping"]], "name (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.name"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.name"]], "outputannotatortype (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.outputAnnotatorType"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.outputAnnotatorType"]], "outputannotatortype (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.outputAnnotatorType"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.outputAnnotatorType"]], "pretrained() (bigtextmatchermodel static method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.pretrained"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.pretrained"]], "searchtrie (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.searchTrie"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.searchTrie"]], "setcasesensitive() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setCaseSensitive"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setCaseSensitive"]], "setcasesensitive() (bigtextmatchermodel method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setCaseSensitive"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setCaseSensitive"]], "setentities() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setEntities"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setEntities"]], "setmergeoverlapping() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setMergeOverlapping"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setMergeOverlapping"]], "setmergeoverlapping() (bigtextmatchermodel method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setMergeOverlapping"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setMergeOverlapping"]], "settokenizer() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setTokenizer"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setTokenizer"]], "sparknlp.annotator.matcher.big_text_matcher": [[130, "module-sparknlp.annotator.matcher.big_text_matcher"], [389, "module-sparknlp.annotator.matcher.big_text_matcher"]], "tokenizer (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.tokenizer"], [389, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.tokenizer"]], "datematcher (class in sparknlp.annotator.matcher.date_matcher)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcher"]], "datematcherutils (class in sparknlp.annotator.matcher.date_matcher)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils"]], "aggressivematching (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.aggressiveMatching"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.aggressiveMatching"]], "anchordateday (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateDay"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateDay"]], "anchordatemonth (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateMonth"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateMonth"]], "anchordateyear (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateYear"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateYear"]], "defaultdaywhenmissing (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.defaultDayWhenMissing"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.defaultDayWhenMissing"]], "inputannotatortypes (datematcher attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher.inputAnnotatorTypes"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcher.inputAnnotatorTypes"]], "inputformats (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.inputFormats"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.inputFormats"]], "name (datematcher attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher.name"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcher.name"]], "outputannotatortype (datematcher attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher.outputAnnotatorType"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcher.outputAnnotatorType"]], "outputformat (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.outputFormat"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.outputFormat"]], "readmonthfirst (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.readMonthFirst"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.readMonthFirst"]], "relaxedfactorystrategy (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.relaxedFactoryStrategy"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.relaxedFactoryStrategy"]], "setaggressivematching() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAggressiveMatching"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAggressiveMatching"]], "setanchordateday() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateDay"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateDay"]], "setanchordatemonth() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateMonth"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateMonth"]], "setanchordateyear() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateYear"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateYear"]], "setdefaultdaywhenmissing() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setDefaultDayWhenMissing"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setDefaultDayWhenMissing"]], "setinputformats() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setInputFormats"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setInputFormats"]], "setoutputformat() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setOutputFormat"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setOutputFormat"]], "setreadmonthfirst() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setReadMonthFirst"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setReadMonthFirst"]], "setrelaxedfactorystrategy() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setRelaxedFactoryStrategy"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setRelaxedFactoryStrategy"]], "setsourcelanguage() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setSourceLanguage"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setSourceLanguage"]], "sourcelanguage (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.sourceLanguage"], [390, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.sourceLanguage"]], "sparknlp.annotator.matcher.date_matcher": [[131, "module-sparknlp.annotator.matcher.date_matcher"], [390, "module-sparknlp.annotator.matcher.date_matcher"]], "multidatematcher (class in sparknlp.annotator.matcher.multi_date_matcher)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher"], [392, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher"]], "inputannotatortypes (multidatematcher attribute)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.inputAnnotatorTypes"], [392, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.inputAnnotatorTypes"]], "name (multidatematcher attribute)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.name"], [392, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.name"]], "outputannotatortype (multidatematcher attribute)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.outputAnnotatorType"], [392, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.outputAnnotatorType"]], "sparknlp.annotator.matcher.multi_date_matcher": [[132, "module-sparknlp.annotator.matcher.multi_date_matcher"], [392, "module-sparknlp.annotator.matcher.multi_date_matcher"]], "regexmatcher (class in sparknlp.annotator.matcher.regex_matcher)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher"]], "regexmatchermodel (class in sparknlp.annotator.matcher.regex_matcher)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel"]], "delimiter (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.delimiter"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.delimiter"]], "externalrules (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.externalRules"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.externalRules"]], "inputannotatortypes (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.inputAnnotatorTypes"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.inputAnnotatorTypes"]], "inputannotatortypes (regexmatchermodel attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.inputAnnotatorTypes"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.inputAnnotatorTypes"]], "name (regexmatchermodel attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.name"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.name"]], "outputannotatortype (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.outputAnnotatorType"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.outputAnnotatorType"]], "outputannotatortype (regexmatchermodel attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.outputAnnotatorType"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.outputAnnotatorType"]], "rules (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.rules"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.rules"]], "setdelimiter() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setDelimiter"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setDelimiter"]], "setexternalrules() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setExternalRules"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setExternalRules"]], "setrules() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setRules"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setRules"]], "setstrategy() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setStrategy"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setStrategy"]], "sparknlp.annotator.matcher.regex_matcher": [[133, "module-sparknlp.annotator.matcher.regex_matcher"], [393, "module-sparknlp.annotator.matcher.regex_matcher"]], "strategy (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.strategy"], [393, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.strategy"]], "textmatcher (class in sparknlp.annotator.matcher.text_matcher)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher"]], "textmatchermodel (class in sparknlp.annotator.matcher.text_matcher)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel"]], "buildfromtokens (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.buildFromTokens"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.buildFromTokens"]], "buildfromtokens (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.buildFromTokens"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.buildFromTokens"]], "casesensitive (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.caseSensitive"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.caseSensitive"]], "entities (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entities"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entities"]], "entityvalue (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entityValue"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entityValue"]], "entityvalue (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.entityValue"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.entityValue"]], "inputannotatortypes (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.inputAnnotatorTypes"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.inputAnnotatorTypes"]], "inputannotatortypes (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.inputAnnotatorTypes"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.inputAnnotatorTypes"]], "mergeoverlapping (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.mergeOverlapping"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.mergeOverlapping"]], "mergeoverlapping (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.mergeOverlapping"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.mergeOverlapping"]], "name (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.name"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.name"]], "outputannotatortype (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.outputAnnotatorType"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.outputAnnotatorType"]], "outputannotatortype (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.outputAnnotatorType"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.outputAnnotatorType"]], "pretrained() (textmatchermodel static method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.pretrained"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.pretrained"]], "searchtrie (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.searchTrie"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.searchTrie"]], "setbuildfromtokens() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setBuildFromTokens"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setBuildFromTokens"]], "setbuildfromtokens() (textmatchermodel method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setBuildFromTokens"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setBuildFromTokens"]], "setcasesensitive() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setCaseSensitive"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setCaseSensitive"]], "setentities() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntities"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntities"]], "setentityvalue() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntityValue"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntityValue"]], "setentityvalue() (textmatchermodel method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setEntityValue"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setEntityValue"]], "setmergeoverlapping() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setMergeOverlapping"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setMergeOverlapping"]], "setmergeoverlapping() (textmatchermodel method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setMergeOverlapping"], [394, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setMergeOverlapping"]], "sparknlp.annotator.matcher.text_matcher": [[134, "module-sparknlp.annotator.matcher.text_matcher"], [394, "module-sparknlp.annotator.matcher.text_matcher"]], "ngramgenerator (class in sparknlp.annotator.n_gram_generator)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator"]], "delimiter (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.delimiter"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.delimiter"]], "enablecumulative (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.enableCumulative"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.enableCumulative"]], "inputannotatortypes (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.inputAnnotatorTypes"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.inputAnnotatorTypes"]], "n (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.n"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.n"]], "name (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.name"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.name"]], "outputannotatortype (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.outputAnnotatorType"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.outputAnnotatorType"]], "setdelimiter() (ngramgenerator method)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.setDelimiter"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.setDelimiter"]], "setenablecumulative() (ngramgenerator method)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.setEnableCumulative"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.setEnableCumulative"]], "setn() (ngramgenerator method)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.setN"], [395, "sparknlp.annotator.n_gram_generator.NGramGenerator.setN"]], "sparknlp.annotator.n_gram_generator": [[135, "module-sparknlp.annotator.n_gram_generator"], [395, "module-sparknlp.annotator.n_gram_generator"]], "sparknlp.annotator.ner": [[136, "module-sparknlp.annotator.ner"], [396, "module-sparknlp.annotator.ner"]], "nerapproach (class in sparknlp.annotator.ner.ner_approach)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach"]], "entities (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.entities"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.entities"]], "getlabelcolumn() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.getLabelColumn"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.getLabelColumn"]], "labelcolumn (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.labelColumn"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.labelColumn"]], "maxepochs (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.maxEpochs"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.maxEpochs"]], "minepochs (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.minEpochs"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.minEpochs"]], "randomseed (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.randomSeed"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.randomSeed"]], "setentities() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setEntities"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.setEntities"]], "setlabelcolumn() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setLabelColumn"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.setLabelColumn"]], "setmaxepochs() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setMaxEpochs"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.setMaxEpochs"]], "setminepochs() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setMinEpochs"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.setMinEpochs"]], "setrandomseed() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setRandomSeed"], [397, "sparknlp.annotator.ner.ner_approach.NerApproach.setRandomSeed"]], "sparknlp.annotator.ner.ner_approach": [[137, "module-sparknlp.annotator.ner.ner_approach"], [397, "module-sparknlp.annotator.ner.ner_approach"]], "nerconverter (class in sparknlp.annotator.ner.ner_converter)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter"]], "inputannotatortypes (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.inputAnnotatorTypes"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.inputAnnotatorTypes"]], "name (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.name"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.name"]], "nerhasnoschema (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.nerHasNoSchema"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.nerHasNoSchema"]], "outputannotatortype (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.outputAnnotatorType"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.outputAnnotatorType"]], "preserveposition (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.preservePosition"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.preservePosition"]], "setnerhasnoschema() (nerconverter method)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.setNerHasNoSchema"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.setNerHasNoSchema"]], "setpreserveposition() (nerconverter method)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.setPreservePosition"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.setPreservePosition"]], "setwhitelist() (nerconverter method)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.setWhiteList"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.setWhiteList"]], "sparknlp.annotator.ner.ner_converter": [[138, "module-sparknlp.annotator.ner.ner_converter"], [398, "module-sparknlp.annotator.ner.ner_converter"]], "whitelist (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.whiteList"], [398, "sparknlp.annotator.ner.ner_converter.NerConverter.whiteList"]], "nercrfapproach (class in sparknlp.annotator.ner.ner_crf)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach"]], "nercrfmodel (class in sparknlp.annotator.ner.ner_crf)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel"]], "c0 (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.c0"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.c0"]], "externalfeatures (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.externalFeatures"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.externalFeatures"]], "includeconfidence (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.includeConfidence"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.includeConfidence"]], "includeconfidence (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.includeConfidence"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel.includeConfidence"]], "inputannotatortypes (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.inputAnnotatorTypes"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.inputAnnotatorTypes"]], "inputannotatortypes (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.inputAnnotatorTypes"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel.inputAnnotatorTypes"]], "l2 (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.l2"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.l2"]], "losseps (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.lossEps"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.lossEps"]], "minw (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.minW"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.minW"]], "name (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.name"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel.name"]], "outputannotatortype (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.outputAnnotatorType"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.outputAnnotatorType"]], "outputannotatortype (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.outputAnnotatorType"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel.outputAnnotatorType"]], "pretrained() (nercrfmodel static method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.pretrained"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel.pretrained"]], "setc0() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setC0"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setC0"]], "setexternalfeatures() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setExternalFeatures"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setExternalFeatures"]], "setincludeconfidence() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setIncludeConfidence"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setIncludeConfidence"]], "setincludeconfidence() (nercrfmodel method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.setIncludeConfidence"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfModel.setIncludeConfidence"]], "setl2() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setL2"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setL2"]], "setlosseps() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setLossEps"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setLossEps"]], "setminw() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setMinW"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setMinW"]], "setverbose() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setVerbose"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setVerbose"]], "sparknlp.annotator.ner.ner_crf": [[139, "module-sparknlp.annotator.ner.ner_crf"], [399, "module-sparknlp.annotator.ner.ner_crf"]], "verbose (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.verbose"], [399, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.verbose"]], "nerdlapproach (class in sparknlp.annotator.ner.ner_dl)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach"]], "nerdlmodel (class in sparknlp.annotator.ner.ner_dl)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel"]], "batchsize (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.batchSize"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.batchSize"]], "bestmodelmetric (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.bestModelMetric"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.bestModelMetric"]], "classes (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.classes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.classes"]], "configprotobytes (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.configProtoBytes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.configProtoBytes"]], "configprotobytes (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.configProtoBytes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.configProtoBytes"]], "dropout (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.dropout"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.dropout"]], "enablememoryoptimizer (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.enableMemoryOptimizer"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.enableMemoryOptimizer"]], "graphfolder (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.graphFolder"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.graphFolder"]], "includeallconfidencescores (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeAllConfidenceScores"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeAllConfidenceScores"]], "includeallconfidencescores (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeAllConfidenceScores"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeAllConfidenceScores"]], "includeconfidence (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeConfidence"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeConfidence"]], "includeconfidence (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeConfidence"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeConfidence"]], "inputannotatortypes (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.inputAnnotatorTypes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.inputAnnotatorTypes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.inputAnnotatorTypes"]], "lr (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.lr"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.lr"]], "name (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.name"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.name"]], "outputannotatortype (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.outputAnnotatorType"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.outputAnnotatorType"]], "outputannotatortype (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.outputAnnotatorType"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.outputAnnotatorType"]], "po (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.po"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.po"]], "pretrained() (nerdlmodel static method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.pretrained"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.pretrained"]], "setbatchsize() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBatchSize"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBatchSize"]], "setbestmodelmetric() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBestModelMetric"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBestModelMetric"]], "setconfigprotobytes() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setConfigProtoBytes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setConfigProtoBytes"]], "setconfigprotobytes() (nerdlmodel method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.setConfigProtoBytes"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.setConfigProtoBytes"]], "setdropout() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setDropout"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setDropout"]], "setenablememoryoptimizer() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setEnableMemoryOptimizer"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setEnableMemoryOptimizer"]], "setgraphfolder() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setGraphFolder"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setGraphFolder"]], "setincludeallconfidencescores() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeAllConfidenceScores"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeAllConfidenceScores"]], "setincludeallconfidencescores() (nerdlmodel method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeAllConfidenceScores"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeAllConfidenceScores"]], "setincludeconfidence() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeConfidence"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeConfidence"]], "setincludeconfidence() (nerdlmodel method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeConfidence"], [400, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeConfidence"]], "setlr() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setLr"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setLr"]], "setpo() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setPo"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setPo"]], "setusebestmodel() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseBestModel"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseBestModel"]], "setusecontrib() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseContrib"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseContrib"]], "sparknlp.annotator.ner.ner_dl": [[140, "module-sparknlp.annotator.ner.ner_dl"], [400, "module-sparknlp.annotator.ner.ner_dl"]], "usebestmodel (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useBestModel"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useBestModel"]], "usecontrib (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useContrib"], [400, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useContrib"]], "nerdlgraphchecker (class in sparknlp.annotator.ner.ner_dl_graph_checker)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker"]], "nerdlgraphcheckermodel (class in sparknlp.annotator.ner.ner_dl_graph_checker)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel"]], "embeddingsdim (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.embeddingsDim"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.embeddingsDim"]], "graphfolder (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.graphFolder"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.graphFolder"]], "inputannotatortypes (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputAnnotatorTypes"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputAnnotatorTypes"]], "inputannotatortypes (nerdlgraphcheckermodel attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel.inputAnnotatorTypes"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel.inputAnnotatorTypes"]], "inputcols (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputCols"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputCols"]], "labelcolumn (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.labelColumn"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.labelColumn"]], "setembeddingsdim() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsDim"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsDim"]], "setembeddingsmodel() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsModel"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsModel"]], "setgraphfolder() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setGraphFolder"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setGraphFolder"]], "setinputcols() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setInputCols"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setInputCols"]], "setlabelcolumn() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setLabelColumn"], [401, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setLabelColumn"]], "sparknlp.annotator.ner.ner_dl_graph_checker": [[141, "module-sparknlp.annotator.ner.ner_dl_graph_checker"], [401, "module-sparknlp.annotator.ner.ner_dl_graph_checker"]], "neroverwriter (class in sparknlp.annotator.ner.ner_overwriter)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter"]], "inputannotatortypes (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.inputAnnotatorTypes"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.inputAnnotatorTypes"]], "name (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.name"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.name"]], "nerwords (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.nerWords"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.nerWords"]], "newnerentity (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.newNerEntity"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.newNerEntity"]], "outputannotatortype (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.outputAnnotatorType"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.outputAnnotatorType"]], "replaceentities (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.replaceEntities"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.replaceEntities"]], "setnerwords() (neroverwriter method)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNerWords"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNerWords"]], "setnewnerentity() (neroverwriter method)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNewNerEntity"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNewNerEntity"]], "setreplaceentities() (neroverwriter method)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setReplaceEntities"], [402, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setReplaceEntities"]], "sparknlp.annotator.ner.ner_overwriter": [[142, "module-sparknlp.annotator.ner.ner_overwriter"], [402, "module-sparknlp.annotator.ner.ner_overwriter"]], "zeroshotnermodel (class in sparknlp.annotator.ner.zero_shot_ner_model)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel"]], "getclasses() (zeroshotnermodel method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.getClasses"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.getClasses"]], "ignoreentities (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.ignoreEntities"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.ignoreEntities"]], "inputannotatortypes (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.inputAnnotatorTypes"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.inputAnnotatorTypes"]], "load() (zeroshotnermodel static method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.load"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.load"]], "name (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.name"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.name"]], "outputannotatortype (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.outputAnnotatorType"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.outputAnnotatorType"]], "predictionthreshold (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.predictionThreshold"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.predictionThreshold"]], "pretrained() (zeroshotnermodel static method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.pretrained"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.pretrained"]], "setentitydefinitions() (zeroshotnermodel method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setEntityDefinitions"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setEntityDefinitions"]], "setpredictionthreshold() (zeroshotnermodel method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setPredictionThreshold"], [403, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setPredictionThreshold"]], "sparknlp.annotator.ner.zero_shot_ner_model": [[143, "module-sparknlp.annotator.ner.zero_shot_ner_model"], [403, "module-sparknlp.annotator.ner.zero_shot_ner_model"]], "normalizer (class in sparknlp.annotator.normalizer)": [[144, "sparknlp.annotator.normalizer.Normalizer"], [404, "sparknlp.annotator.normalizer.Normalizer"]], "normalizermodel (class in sparknlp.annotator.normalizer)": [[144, "sparknlp.annotator.normalizer.NormalizerModel"], [404, "sparknlp.annotator.normalizer.NormalizerModel"]], "cleanuppatterns (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.cleanupPatterns"], [404, "sparknlp.annotator.normalizer.Normalizer.cleanupPatterns"]], "cleanuppatterns (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.cleanupPatterns"], [404, "sparknlp.annotator.normalizer.NormalizerModel.cleanupPatterns"]], "inputannotatortypes (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.inputAnnotatorTypes"], [404, "sparknlp.annotator.normalizer.Normalizer.inputAnnotatorTypes"]], "inputannotatortypes (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.inputAnnotatorTypes"], [404, "sparknlp.annotator.normalizer.NormalizerModel.inputAnnotatorTypes"]], "lowercase (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.lowercase"], [404, "sparknlp.annotator.normalizer.Normalizer.lowercase"]], "lowercase (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.lowercase"], [404, "sparknlp.annotator.normalizer.NormalizerModel.lowercase"]], "maxlength (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.maxLength"], [404, "sparknlp.annotator.normalizer.Normalizer.maxLength"]], "minlength (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.minLength"], [404, "sparknlp.annotator.normalizer.Normalizer.minLength"]], "name (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.name"], [404, "sparknlp.annotator.normalizer.NormalizerModel.name"]], "outputannotatortype (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.outputAnnotatorType"], [404, "sparknlp.annotator.normalizer.Normalizer.outputAnnotatorType"]], "outputannotatortype (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.outputAnnotatorType"], [404, "sparknlp.annotator.normalizer.NormalizerModel.outputAnnotatorType"]], "setcleanuppatterns() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setCleanupPatterns"], [404, "sparknlp.annotator.normalizer.Normalizer.setCleanupPatterns"]], "setlowercase() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setLowercase"], [404, "sparknlp.annotator.normalizer.Normalizer.setLowercase"]], "setmaxlength() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setMaxLength"], [404, "sparknlp.annotator.normalizer.Normalizer.setMaxLength"]], "setminlength() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setMinLength"], [404, "sparknlp.annotator.normalizer.Normalizer.setMinLength"]], "setslangdictionary() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setSlangDictionary"], [404, "sparknlp.annotator.normalizer.Normalizer.setSlangDictionary"]], "slangdictionary (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.slangDictionary"], [404, "sparknlp.annotator.normalizer.Normalizer.slangDictionary"]], "slangmatchcase (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.slangMatchCase"], [404, "sparknlp.annotator.normalizer.Normalizer.slangMatchCase"]], "slangmatchcase (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.slangMatchCase"], [404, "sparknlp.annotator.normalizer.NormalizerModel.slangMatchCase"]], "sparknlp.annotator.normalizer": [[144, "module-sparknlp.annotator.normalizer"], [404, "module-sparknlp.annotator.normalizer"]], "sparknlp.annotator.openai": [[145, "module-sparknlp.annotator.openai"], [405, "module-sparknlp.annotator.openai"]], "openaicompletion (class in sparknlp.annotator.openai.openai_completion)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion"]], "bestof (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.bestOf"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.bestOf"]], "echo (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.echo"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.echo"]], "frequencypenalty (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.frequencyPenalty"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.frequencyPenalty"]], "inputannotatortypes (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.inputAnnotatorTypes"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.inputAnnotatorTypes"]], "logitbias (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logitBias"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logitBias"]], "logprobs (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logprobs"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logprobs"]], "maxtokens (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.maxTokens"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.maxTokens"]], "model (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.model"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.model"]], "name (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.name"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.name"]], "numberofcompletions (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.numberOfCompletions"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.numberOfCompletions"]], "outputannotatortype (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.outputAnnotatorType"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.outputAnnotatorType"]], "presencepenalty (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.presencePenalty"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.presencePenalty"]], "setbestof() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setBestOf"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setBestOf"]], "setecho() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setEcho"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setEcho"]], "setfrequencypenalty() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setFrequencyPenalty"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setFrequencyPenalty"]], "setlogitbias() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogitBias"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogitBias"]], "setlogprobs() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogprobs"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogprobs"]], "setmaxtokens() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setMaxTokens"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setMaxTokens"]], "setmodel() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setModel"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setModel"]], "setnumberofcompletions() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setNumberOfCompletions"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setNumberOfCompletions"]], "setpresencepenalty() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setPresencePenalty"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setPresencePenalty"]], "setstop() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setStop"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setStop"]], "setsuffix() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setSuffix"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setSuffix"]], "settemperature() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTemperature"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTemperature"]], "settopp() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTopP"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTopP"]], "setuser() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setUser"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setUser"]], "sparknlp.annotator.openai.openai_completion": [[146, "module-sparknlp.annotator.openai.openai_completion"], [406, "module-sparknlp.annotator.openai.openai_completion"]], "stop (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.stop"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.stop"]], "suffix (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.suffix"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.suffix"]], "temperature (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.temperature"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.temperature"]], "topp (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.topP"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.topP"]], "user (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.user"], [406, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.user"]], "openaiembeddings (class in sparknlp.annotator.openai.openai_embeddings)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings"]], "inputannotatortypes (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.inputAnnotatorTypes"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.inputAnnotatorTypes"]], "model (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.model"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.model"]], "name (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.name"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.name"]], "outputannotatortype (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.outputAnnotatorType"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.outputAnnotatorType"]], "setmodel() (openaiembeddings method)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setModel"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setModel"]], "setuser() (openaiembeddings method)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setUser"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setUser"]], "sparknlp.annotator.openai.openai_embeddings": [[147, "module-sparknlp.annotator.openai.openai_embeddings"], [407, "module-sparknlp.annotator.openai.openai_embeddings"]], "user (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.user"], [407, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.user"]], "sparknlp.annotator.param": [[148, "module-sparknlp.annotator.param"], [410, "module-sparknlp.annotator.param"]], "classifierencoder (class in sparknlp.annotator.param.classifier_encoder)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder"]], "batchsize (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.batchSize"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.batchSize"]], "configprotobytes (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.configProtoBytes"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.configProtoBytes"]], "labelcolumn (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.labelColumn"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.labelColumn"]], "lr (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.lr"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.lr"]], "maxepochs (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.maxEpochs"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.maxEpochs"]], "randomseed (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.randomSeed"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.randomSeed"]], "setbatchsize() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setBatchSize"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setBatchSize"]], "setconfigprotobytes() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setConfigProtoBytes"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setConfigProtoBytes"]], "setlabelcolumn() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLabelColumn"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLabelColumn"]], "setlr() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLr"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLr"]], "setmaxepochs() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setMaxEpochs"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setMaxEpochs"]], "setrandomseed() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setRandomSeed"], [408, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setRandomSeed"]], "sparknlp.annotator.param.classifier_encoder": [[149, "module-sparknlp.annotator.param.classifier_encoder"], [408, "module-sparknlp.annotator.param.classifier_encoder"]], "evaluationdlparams (class in sparknlp.annotator.param.evaluation_dl_params)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams"]], "enableoutputlogs (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.enableOutputLogs"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.enableOutputLogs"]], "evaluationlogextended (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.evaluationLogExtended"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.evaluationLogExtended"]], "outputlogspath (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.outputLogsPath"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.outputLogsPath"]], "setenableoutputlogs() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEnableOutputLogs"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEnableOutputLogs"]], "setevaluationlogextended() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEvaluationLogExtended"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEvaluationLogExtended"]], "setoutputlogspath() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setOutputLogsPath"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setOutputLogsPath"]], "settestdataset() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setTestDataset"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setTestDataset"]], "setvalidationsplit() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setValidationSplit"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setValidationSplit"]], "setverbose() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setVerbose"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setVerbose"]], "sparknlp.annotator.param.evaluation_dl_params": [[150, "module-sparknlp.annotator.param.evaluation_dl_params"], [409, "module-sparknlp.annotator.param.evaluation_dl_params"]], "testdataset (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.testDataset"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.testDataset"]], "validationsplit (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.validationSplit"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.validationSplit"]], "verbose (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.verbose"], [409, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.verbose"]], "sparknlp.annotator.pos": [[151, "module-sparknlp.annotator.pos"], [411, "module-sparknlp.annotator.pos"]], "perceptronapproach (class in sparknlp.annotator.pos.perceptron)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach"]], "perceptronmodel (class in sparknlp.annotator.pos.perceptron)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel"], [412, "sparknlp.annotator.pos.perceptron.PerceptronModel"]], "getniterations() (perceptronapproach method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.getNIterations"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.getNIterations"]], "inputannotatortypes (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.inputAnnotatorTypes"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.inputAnnotatorTypes"]], "inputannotatortypes (perceptronmodel attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.inputAnnotatorTypes"], [412, "sparknlp.annotator.pos.perceptron.PerceptronModel.inputAnnotatorTypes"]], "niterations (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.nIterations"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.nIterations"]], "name (perceptronmodel attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.name"], [412, "sparknlp.annotator.pos.perceptron.PerceptronModel.name"]], "outputannotatortype (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.outputAnnotatorType"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.outputAnnotatorType"]], "outputannotatortype (perceptronmodel attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.outputAnnotatorType"], [412, "sparknlp.annotator.pos.perceptron.PerceptronModel.outputAnnotatorType"]], "poscol (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.posCol"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.posCol"]], "pretrained() (perceptronmodel static method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.pretrained"], [412, "sparknlp.annotator.pos.perceptron.PerceptronModel.pretrained"]], "setiterations() (perceptronapproach method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setIterations"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setIterations"]], "setposcolumn() (perceptronapproach method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setPosColumn"], [412, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setPosColumn"]], "sparknlp.annotator.pos.perceptron": [[152, "module-sparknlp.annotator.pos.perceptron"], [412, "module-sparknlp.annotator.pos.perceptron"]], "sparknlp.annotator.sentence": [[153, "module-sparknlp.annotator.sentence"], [413, "module-sparknlp.annotator.sentence"]], "sentencedetector (class in sparknlp.annotator.sentence.sentence_detector)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector"]], "sentencedetectorparams (class in sparknlp.annotator.sentence.sentence_detector)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams"]], "custombounds (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBounds"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBounds"]], "customboundsstrategy (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBoundsStrategy"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBoundsStrategy"]], "detectlists (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.detectLists"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.detectLists"]], "explodesentences (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.explodeSentences"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.explodeSentences"]], "inputannotatortypes (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.inputAnnotatorTypes"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.inputAnnotatorTypes"]], "maxlength (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.maxLength"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.maxLength"]], "minlength (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.minLength"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.minLength"]], "name (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.name"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.name"]], "outputannotatortype (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.outputAnnotatorType"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.outputAnnotatorType"]], "setcustombounds() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBounds"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBounds"]], "setcustomboundsstrategy() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBoundsStrategy"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBoundsStrategy"]], "setdetectlists() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setDetectLists"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setDetectLists"]], "setexplodesentences() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setExplodeSentences"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setExplodeSentences"]], "setmaxlength() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMaxLength"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMaxLength"]], "setminlength() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMinLength"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMinLength"]], "setsplitlength() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setSplitLength"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setSplitLength"]], "setuseabbreviations() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseAbbreviations"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseAbbreviations"]], "setusecustomboundsonly() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseCustomBoundsOnly"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseCustomBoundsOnly"]], "sparknlp.annotator.sentence.sentence_detector": [[154, "module-sparknlp.annotator.sentence.sentence_detector"], [414, "module-sparknlp.annotator.sentence.sentence_detector"]], "splitlength (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.splitLength"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.splitLength"]], "useabbreviations (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useAbbreviations"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useAbbreviations"]], "usecustomboundsonly (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useCustomBoundsOnly"], [414, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useCustomBoundsOnly"]], "sentencedetectordlapproach (class in sparknlp.annotator.sentence.sentence_detector_dl)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach"]], "sentencedetectordlmodel (class in sparknlp.annotator.sentence.sentence_detector_dl)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel"]], "custombounds (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.customBounds"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.customBounds"]], "epochsnumber (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.epochsNumber"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.epochsNumber"]], "explodesentences (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.explodeSentences"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.explodeSentences"]], "explodesentences (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.explodeSentences"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.explodeSentences"]], "impossiblepenultimates (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.impossiblePenultimates"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.impossiblePenultimates"]], "impossiblepenultimates (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.impossiblePenultimates"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.impossiblePenultimates"]], "inputannotatortypes (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.inputAnnotatorTypes"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.inputAnnotatorTypes"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.inputAnnotatorTypes"]], "maxlength (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.maxLength"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.maxLength"]], "minlength (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.minLength"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.minLength"]], "modelarchitecture (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.modelArchitecture"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.modelArchitecture"]], "modelarchitecture (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.modelArchitecture"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.modelArchitecture"]], "name (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.name"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.name"]], "name (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.name"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.name"]], "outputannotatortype (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputAnnotatorType"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputAnnotatorType"]], "outputannotatortype (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.outputAnnotatorType"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.outputAnnotatorType"]], "outputlogspath (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputLogsPath"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputLogsPath"]], "pretrained() (sentencedetectordlmodel static method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.pretrained"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.pretrained"]], "setcustombounds() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setCustomBounds"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setCustomBounds"]], "setepochsnumber() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setEpochsNumber"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setEpochsNumber"]], "setexplodesentences() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setExplodeSentences"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setExplodeSentences"]], "setexplodesentences() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setExplodeSentences"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setExplodeSentences"]], "setimpossiblepenultimates() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setImpossiblePenultimates"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setImpossiblePenultimates"]], "setimpossiblepenultimates() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setImpossiblePenultimates"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setImpossiblePenultimates"]], "setmaxlength() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMaxLength"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMaxLength"]], "setminlength() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMinLength"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMinLength"]], "setmodel() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setModel"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setModel"]], "setmodel() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setModel"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setModel"]], "setoutputlogspath() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setOutputLogsPath"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setOutputLogsPath"]], "setsplitlength() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setSplitLength"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setSplitLength"]], "setusecustomboundsonly() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setUseCustomBoundsOnly"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setUseCustomBoundsOnly"]], "setvalidationsplit() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setValidationSplit"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setValidationSplit"]], "sparknlp.annotator.sentence.sentence_detector_dl": [[155, "module-sparknlp.annotator.sentence.sentence_detector_dl"], [415, "module-sparknlp.annotator.sentence.sentence_detector_dl"]], "splitlength (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.splitLength"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.splitLength"]], "usecustomboundsonly (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.useCustomBoundsOnly"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.useCustomBoundsOnly"]], "validationsplit (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.validationSplit"], [415, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.validationSplit"]], "sparknlp.annotator.sentiment": [[156, "module-sparknlp.annotator.sentiment"], [416, "module-sparknlp.annotator.sentiment"]], "sentimentdetector (class in sparknlp.annotator.sentiment.sentiment_detector)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector"]], "sentimentdetectormodel (class in sparknlp.annotator.sentiment.sentiment_detector)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel"]], "decrementmultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.decrementMultiplier"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.decrementMultiplier"]], "dictionary (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.dictionary"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.dictionary"]], "enablescore (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.enableScore"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.enableScore"]], "incrementmultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.incrementMultiplier"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.incrementMultiplier"]], "inputannotatortypes (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.inputAnnotatorTypes"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.inputAnnotatorTypes"]], "inputannotatortypes (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.inputAnnotatorTypes"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.inputAnnotatorTypes"]], "name (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.name"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.name"]], "negativemultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.negativeMultiplier"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.negativeMultiplier"]], "outputannotatortype (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.outputAnnotatorType"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.outputAnnotatorType"]], "outputannotatortype (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.outputAnnotatorType"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.outputAnnotatorType"]], "positivemultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.positiveMultiplier"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.positiveMultiplier"]], "positivemultiplier (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.positiveMultiplier"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.positiveMultiplier"]], "reversemultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.reverseMultiplier"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.reverseMultiplier"]], "setdictionary() (sentimentdetector method)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.setDictionary"], [417, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.setDictionary"]], "sparknlp.annotator.sentiment.sentiment_detector": [[157, "module-sparknlp.annotator.sentiment.sentiment_detector"], [417, "module-sparknlp.annotator.sentiment.sentiment_detector"]], "viveknsentimentapproach (class in sparknlp.annotator.sentiment.vivekn_sentiment)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach"]], "viveknsentimentmodel (class in sparknlp.annotator.sentiment.vivekn_sentiment)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel"]], "featurelimit (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.featureLimit"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.featureLimit"]], "featurelimit (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.featureLimit"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.featureLimit"]], "importantfeatureratio (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.importantFeatureRatio"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.importantFeatureRatio"]], "importantfeatureratio (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.importantFeatureRatio"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.importantFeatureRatio"]], "inputannotatortypes (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.inputAnnotatorTypes"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.inputAnnotatorTypes"]], "inputannotatortypes (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.inputAnnotatorTypes"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.inputAnnotatorTypes"]], "name (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.name"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.name"]], "outputannotatortype (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.outputAnnotatorType"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.outputAnnotatorType"]], "outputannotatortype (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.outputAnnotatorType"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.outputAnnotatorType"]], "pretrained() (viveknsentimentmodel static method)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.pretrained"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.pretrained"]], "prunecorpus (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.pruneCorpus"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.pruneCorpus"]], "sentimentcol (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.sentimentCol"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.sentimentCol"]], "setprunecorpus() (viveknsentimentapproach method)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setPruneCorpus"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setPruneCorpus"]], "setsentimentcol() (viveknsentimentapproach method)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setSentimentCol"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setSentimentCol"]], "sparknlp.annotator.sentiment.vivekn_sentiment": [[158, "module-sparknlp.annotator.sentiment.vivekn_sentiment"], [418, "module-sparknlp.annotator.sentiment.vivekn_sentiment"]], "unimportantfeaturestep (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.unimportantFeatureStep"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.unimportantFeatureStep"]], "unimportantfeaturestep (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.unimportantFeatureStep"], [418, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.unimportantFeatureStep"]], "sparknlp.annotator.seq2seq": [[159, "module-sparknlp.annotator.seq2seq"], [426, "module-sparknlp.annotator.seq2seq"]], "autoggufmodel (class in sparknlp.annotator.seq2seq.auto_gguf_model)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel"], [419, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel"]], "inputannotatortypes (autoggufmodel attribute)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.inputAnnotatorTypes"], [419, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufmodel static method)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.loadSavedModel"], [419, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.loadSavedModel"]], "name (autoggufmodel attribute)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.name"], [419, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.name"]], "outputannotatortype (autoggufmodel attribute)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.outputAnnotatorType"], [419, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.outputAnnotatorType"]], "pretrained() (autoggufmodel static method)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.pretrained"], [419, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.pretrained"]], "sparknlp.annotator.seq2seq.auto_gguf_model": [[160, "module-sparknlp.annotator.seq2seq.auto_gguf_model"], [419, "module-sparknlp.annotator.seq2seq.auto_gguf_model"]], "autoggufreranker (class in sparknlp.annotator.seq2seq.auto_gguf_reranker)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker"]], "getquery() (autoggufreranker method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.getQuery"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.getQuery"]], "inputannotatortypes (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.inputAnnotatorTypes"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufreranker static method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.loadSavedModel"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.loadSavedModel"]], "name (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.name"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.name"]], "outputannotatortype (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.outputAnnotatorType"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.outputAnnotatorType"]], "pretrained() (autoggufreranker static method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.pretrained"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.pretrained"]], "query (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.query"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.query"]], "setquery() (autoggufreranker method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.setQuery"], [420, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.setQuery"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker": [[161, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"], [420, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"]], "autoggufvisionmodel (class in sparknlp.annotator.seq2seq.auto_gguf_vision_model)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel"], [421, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel"]], "inputannotatortypes (autoggufvisionmodel attribute)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.inputAnnotatorTypes"], [421, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufvisionmodel static method)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.loadSavedModel"], [421, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.loadSavedModel"]], "name (autoggufvisionmodel attribute)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.name"], [421, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.name"]], "outputannotatortype (autoggufvisionmodel attribute)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.outputAnnotatorType"], [421, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.outputAnnotatorType"]], "pretrained() (autoggufvisionmodel static method)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.pretrained"], [421, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.pretrained"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model": [[162, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"], [421, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"]], "barttransformer (class in sparknlp.annotator.seq2seq.bart_transformer)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer"]], "beamsize (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.beamSize"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.beamSize"]], "configprotobytes (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.configProtoBytes"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.configProtoBytes"]], "dosample (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.doSample"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.doSample"]], "ignoretokenids (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.ignoreTokenIds"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.ignoreTokenIds"]], "inputannotatortypes (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.inputAnnotatorTypes"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (barttransformer static method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.loadSavedModel"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.loadSavedModel"]], "maxoutputlength (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.maxOutputLength"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.maxOutputLength"]], "minoutputlength (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.minOutputLength"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.minOutputLength"]], "name (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.name"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.name"]], "norepeatngramsize (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.noRepeatNgramSize"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.noRepeatNgramSize"]], "outputannotatortype (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.outputAnnotatorType"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.outputAnnotatorType"]], "pretrained() (barttransformer static method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.pretrained"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.pretrained"]], "repetitionpenalty (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.repetitionPenalty"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.repetitionPenalty"]], "setbeamsize() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setBeamSize"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setBeamSize"]], "setcache() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setCache"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setCache"]], "setconfigprotobytes() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setConfigProtoBytes"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setConfigProtoBytes"]], "setdosample() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setDoSample"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setDoSample"]], "setignoretokenids() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setIgnoreTokenIds"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMaxOutputLength"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMaxOutputLength"]], "setminoutputlength() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMinOutputLength"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMinOutputLength"]], "setnorepeatngramsize() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setNoRepeatNgramSize"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setRepetitionPenalty"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setRepetitionPenalty"]], "settask() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTask"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTask"]], "settemperature() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTemperature"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTemperature"]], "settopk() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopK"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopK"]], "settopp() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopP"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopP"]], "sparknlp.annotator.seq2seq.bart_transformer": [[163, "module-sparknlp.annotator.seq2seq.bart_transformer"], [422, "module-sparknlp.annotator.seq2seq.bart_transformer"]], "task (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.task"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.task"]], "temperature (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.temperature"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.temperature"]], "topk (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topK"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topK"]], "topp (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topP"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topP"]], "usecache (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.useCache"], [422, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.useCache"]], "coheretransformer (class in sparknlp.annotator.seq2seq.cohere_transformer)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer"]], "beamsize (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.beamSize"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.beamSize"]], "configprotobytes (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.configProtoBytes"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.configProtoBytes"]], "dosample (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.doSample"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.doSample"]], "ignoretokenids (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.ignoreTokenIds"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.ignoreTokenIds"]], "inputannotatortypes (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.inputAnnotatorTypes"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (coheretransformer static method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.loadSavedModel"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.loadSavedModel"]], "maxoutputlength (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.maxOutputLength"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.maxOutputLength"]], "minoutputlength (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.minOutputLength"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.minOutputLength"]], "name (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.name"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.name"]], "norepeatngramsize (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.noRepeatNgramSize"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.noRepeatNgramSize"]], "outputannotatortype (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.outputAnnotatorType"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.outputAnnotatorType"]], "pretrained() (coheretransformer static method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.pretrained"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.pretrained"]], "repetitionpenalty (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.repetitionPenalty"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.repetitionPenalty"]], "setbeamsize() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setBeamSize"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setBeamSize"]], "setconfigprotobytes() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setConfigProtoBytes"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setConfigProtoBytes"]], "setdosample() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setDoSample"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setDoSample"]], "setignoretokenids() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setIgnoreTokenIds"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMaxOutputLength"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMaxOutputLength"]], "setminoutputlength() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMinOutputLength"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMinOutputLength"]], "setnorepeatngramsize() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setNoRepeatNgramSize"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setRepetitionPenalty"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setRepetitionPenalty"]], "setstoptokenids() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setStopTokenIds"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setStopTokenIds"]], "settemperature() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTemperature"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTemperature"]], "settopk() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopK"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopK"]], "settopp() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopP"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopP"]], "sparknlp.annotator.seq2seq.cohere_transformer": [[164, "module-sparknlp.annotator.seq2seq.cohere_transformer"], [423, "module-sparknlp.annotator.seq2seq.cohere_transformer"]], "stoptokenids (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.stopTokenIds"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.stopTokenIds"]], "temperature (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.temperature"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.temperature"]], "topk (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topK"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topK"]], "topp (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topP"], [423, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topP"]], "cpmtransformer (class in sparknlp.annotator.seq2seq.cpm_transformer)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer"]], "configprotobytes (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.configProtoBytes"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.configProtoBytes"]], "dosample (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.doSample"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.doSample"]], "ignoretokenids (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.ignoreTokenIds"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.ignoreTokenIds"]], "inputannotatortypes (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.inputAnnotatorTypes"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (cpmtransformer static method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.loadSavedModel"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.loadSavedModel"]], "maxoutputlength (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.maxOutputLength"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.maxOutputLength"]], "minoutputlength (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.minOutputLength"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.minOutputLength"]], "name (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.name"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.name"]], "norepeatngramsize (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.noRepeatNgramSize"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.noRepeatNgramSize"]], "outputannotatortype (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.outputAnnotatorType"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.outputAnnotatorType"]], "pretrained() (cpmtransformer static method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.pretrained"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.pretrained"]], "repetitionpenalty (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.repetitionPenalty"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.repetitionPenalty"]], "setconfigprotobytes() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setConfigProtoBytes"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setConfigProtoBytes"]], "setdosample() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setDoSample"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setDoSample"]], "setignoretokenids() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setIgnoreTokenIds"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMaxOutputLength"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMaxOutputLength"]], "setminoutputlength() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMinOutputLength"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMinOutputLength"]], "setnorepeatngramsize() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setNoRepeatNgramSize"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setRepetitionPenalty"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setRepetitionPenalty"]], "settemperature() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTemperature"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTemperature"]], "settopk() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopK"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopK"]], "settopp() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopP"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopP"]], "sparknlp.annotator.seq2seq.cpm_transformer": [[165, "module-sparknlp.annotator.seq2seq.cpm_transformer"], [424, "module-sparknlp.annotator.seq2seq.cpm_transformer"]], "temperature (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.temperature"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.temperature"]], "topk (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topK"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topK"]], "topp (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topP"], [424, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topP"]], "gpt2transformer (class in sparknlp.annotator.seq2seq.gpt2_transformer)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer"]], "configprotobytes (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.configProtoBytes"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.configProtoBytes"]], "dosample (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.doSample"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.doSample"]], "ignoretokenids (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.ignoreTokenIds"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.ignoreTokenIds"]], "inputannotatortypes (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.inputAnnotatorTypes"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (gpt2transformer static method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.loadSavedModel"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.loadSavedModel"]], "maxoutputlength (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.maxOutputLength"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.maxOutputLength"]], "minoutputlength (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.minOutputLength"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.minOutputLength"]], "name (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.name"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.name"]], "norepeatngramsize (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.noRepeatNgramSize"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.noRepeatNgramSize"]], "outputannotatortype (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.outputAnnotatorType"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.outputAnnotatorType"]], "pretrained() (gpt2transformer static method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.pretrained"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.pretrained"]], "repetitionpenalty (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.repetitionPenalty"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.repetitionPenalty"]], "setconfigprotobytes() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setConfigProtoBytes"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setConfigProtoBytes"]], "setdosample() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setDoSample"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setDoSample"]], "setignoretokenids() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setIgnoreTokenIds"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMaxOutputLength"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMaxOutputLength"]], "setminoutputlength() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMinOutputLength"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setNoRepeatNgramSize"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setRepetitionPenalty"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setRepetitionPenalty"]], "settask() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTask"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTask"]], "settemperature() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTemperature"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTemperature"]], "settopk() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopK"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopK"]], "settopp() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopP"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopP"]], "sparknlp.annotator.seq2seq.gpt2_transformer": [[166, "module-sparknlp.annotator.seq2seq.gpt2_transformer"], [425, "module-sparknlp.annotator.seq2seq.gpt2_transformer"]], "task (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.task"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.task"]], "temperature (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.temperature"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.temperature"]], "topk (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topK"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topK"]], "topp (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topP"], [425, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topP"]], "llama2transformer (class in sparknlp.annotator.seq2seq.llama2_transformer)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer"]], "configprotobytes (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.configProtoBytes"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.configProtoBytes"]], "dosample (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.doSample"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.doSample"]], "ignoretokenids (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.ignoreTokenIds"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.ignoreTokenIds"]], "inputannotatortypes (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.inputAnnotatorTypes"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (llama2transformer static method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.loadSavedModel"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.loadSavedModel"]], "maxoutputlength (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.maxOutputLength"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.maxOutputLength"]], "minoutputlength (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.minOutputLength"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.minOutputLength"]], "name (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.name"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.name"]], "norepeatngramsize (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.noRepeatNgramSize"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.noRepeatNgramSize"]], "outputannotatortype (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.outputAnnotatorType"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.outputAnnotatorType"]], "pretrained() (llama2transformer static method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.pretrained"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.pretrained"]], "repetitionpenalty (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.repetitionPenalty"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.repetitionPenalty"]], "setconfigprotobytes() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setConfigProtoBytes"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setConfigProtoBytes"]], "setdosample() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setDoSample"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setDoSample"]], "setignoretokenids() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setIgnoreTokenIds"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMaxOutputLength"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMaxOutputLength"]], "setminoutputlength() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMinOutputLength"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setNoRepeatNgramSize"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setRepetitionPenalty"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setRepetitionPenalty"]], "settemperature() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTemperature"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTemperature"]], "settopk() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopK"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopK"]], "settopp() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopP"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopP"]], "sparknlp.annotator.seq2seq.llama2_transformer": [[167, "module-sparknlp.annotator.seq2seq.llama2_transformer"], [427, "module-sparknlp.annotator.seq2seq.llama2_transformer"]], "temperature (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.temperature"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.temperature"]], "topk (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topK"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topK"]], "topp (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topP"], [427, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topP"]], "llama3transformer (class in sparknlp.annotator.seq2seq.llama3_transformer)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer"]], "beamsize (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.beamSize"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.beamSize"]], "configprotobytes (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.configProtoBytes"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.configProtoBytes"]], "dosample (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.doSample"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.doSample"]], "ignoretokenids (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.ignoreTokenIds"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.ignoreTokenIds"]], "inputannotatortypes (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.inputAnnotatorTypes"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (llama3transformer static method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.loadSavedModel"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.loadSavedModel"]], "maxoutputlength (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.maxOutputLength"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.maxOutputLength"]], "minoutputlength (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.minOutputLength"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.minOutputLength"]], "name (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.name"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.name"]], "norepeatngramsize (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.noRepeatNgramSize"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.noRepeatNgramSize"]], "outputannotatortype (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.outputAnnotatorType"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.outputAnnotatorType"]], "pretrained() (llama3transformer static method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.pretrained"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.pretrained"]], "repetitionpenalty (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.repetitionPenalty"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.repetitionPenalty"]], "setbeamsize() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setBeamSize"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setBeamSize"]], "setconfigprotobytes() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setConfigProtoBytes"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setConfigProtoBytes"]], "setdosample() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setDoSample"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setDoSample"]], "setignoretokenids() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setIgnoreTokenIds"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMaxOutputLength"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMaxOutputLength"]], "setminoutputlength() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMinOutputLength"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMinOutputLength"]], "setnorepeatngramsize() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setNoRepeatNgramSize"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setRepetitionPenalty"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setRepetitionPenalty"]], "setstoptokenids() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setStopTokenIds"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setStopTokenIds"]], "settemperature() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTemperature"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTemperature"]], "settopk() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopK"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopK"]], "settopp() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopP"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopP"]], "sparknlp.annotator.seq2seq.llama3_transformer": [[168, "module-sparknlp.annotator.seq2seq.llama3_transformer"], [428, "module-sparknlp.annotator.seq2seq.llama3_transformer"]], "stoptokenids (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.stopTokenIds"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.stopTokenIds"]], "temperature (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.temperature"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.temperature"]], "topk (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topK"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topK"]], "topp (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topP"], [428, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topP"]], "m2m100transformer (class in sparknlp.annotator.seq2seq.m2m100_transformer)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer"]], "beamsize (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.beamSize"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.beamSize"]], "configprotobytes (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.configProtoBytes"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.configProtoBytes"]], "dosample (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.doSample"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.doSample"]], "ignoretokenids (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.ignoreTokenIds"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.ignoreTokenIds"]], "inputannotatortypes (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.inputAnnotatorTypes"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (m2m100transformer static method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.loadSavedModel"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.loadSavedModel"]], "maxoutputlength (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.maxOutputLength"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.maxOutputLength"]], "minoutputlength (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.minOutputLength"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.minOutputLength"]], "name (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.name"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.name"]], "norepeatngramsize (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.noRepeatNgramSize"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.noRepeatNgramSize"]], "outputannotatortype (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.outputAnnotatorType"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.outputAnnotatorType"]], "pretrained() (m2m100transformer static method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.pretrained"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.pretrained"]], "repetitionpenalty (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.repetitionPenalty"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.repetitionPenalty"]], "setbeamsize() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setBeamSize"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setBeamSize"]], "setconfigprotobytes() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setConfigProtoBytes"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setConfigProtoBytes"]], "setdosample() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setDoSample"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setDoSample"]], "setignoretokenids() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setIgnoreTokenIds"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMaxOutputLength"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMaxOutputLength"]], "setminoutputlength() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMinOutputLength"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMinOutputLength"]], "setnorepeatngramsize() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setNoRepeatNgramSize"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setRepetitionPenalty"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setRepetitionPenalty"]], "setsrclang() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setSrcLang"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setSrcLang"]], "settemperature() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTemperature"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTemperature"]], "settgtlang() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTgtLang"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTgtLang"]], "settopk() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopK"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopK"]], "settopp() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopP"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopP"]], "sparknlp.annotator.seq2seq.m2m100_transformer": [[169, "module-sparknlp.annotator.seq2seq.m2m100_transformer"], [429, "module-sparknlp.annotator.seq2seq.m2m100_transformer"]], "srclang (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.srcLang"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.srcLang"]], "temperature (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.temperature"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.temperature"]], "tgtlang (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.tgtLang"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.tgtLang"]], "topk (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topK"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topK"]], "topp (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topP"], [429, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topP"]], "mariantransformer (class in sparknlp.annotator.seq2seq.marian_transformer)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer"]], "configprotobytes (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.configProtoBytes"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.configProtoBytes"]], "dosample (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.doSample"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.doSample"]], "ignoretokenids (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.ignoreTokenIds"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.ignoreTokenIds"]], "inputannotatortypes (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.inputAnnotatorTypes"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.inputAnnotatorTypes"]], "langid (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.langId"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.langId"]], "loadsavedmodel() (mariantransformer static method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.loadSavedModel"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.loadSavedModel"]], "maxinputlength (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxInputLength"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxInputLength"]], "maxoutputlength (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxOutputLength"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxOutputLength"]], "name (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.name"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.name"]], "norepeatngramsize (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.noRepeatNgramSize"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.noRepeatNgramSize"]], "outputannotatortype (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.outputAnnotatorType"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.outputAnnotatorType"]], "pretrained() (mariantransformer static method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.pretrained"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.pretrained"]], "repetitionpenalty (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.repetitionPenalty"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.repetitionPenalty"]], "setconfigprotobytes() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setConfigProtoBytes"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setConfigProtoBytes"]], "setdosample() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setDoSample"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setDoSample"]], "setignoretokenids() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setIgnoreTokenIds"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setIgnoreTokenIds"]], "setlangid() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setLangId"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setLangId"]], "setmaxinputlength() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxInputLength"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxInputLength"]], "setmaxoutputlength() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxOutputLength"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxOutputLength"]], "setnorepeatngramsize() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setNoRepeatNgramSize"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setNoRepeatNgramSize"]], "setrandomseed() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRandomSeed"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRandomSeed"]], "setrepetitionpenalty() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRepetitionPenalty"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRepetitionPenalty"]], "settemperature() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTemperature"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTemperature"]], "settopk() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopK"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopK"]], "settopp() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopP"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopP"]], "sparknlp.annotator.seq2seq.marian_transformer": [[170, "module-sparknlp.annotator.seq2seq.marian_transformer"], [430, "module-sparknlp.annotator.seq2seq.marian_transformer"]], "temperature (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.temperature"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.temperature"]], "topk (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topK"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topK"]], "topp (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topP"], [430, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topP"]], "mistraltransformer (class in sparknlp.annotator.seq2seq.mistral_transformer)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer"]], "configprotobytes (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.configProtoBytes"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.configProtoBytes"]], "dosample (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.doSample"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.doSample"]], "ignoretokenids (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.ignoreTokenIds"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.ignoreTokenIds"]], "inputannotatortypes (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.inputAnnotatorTypes"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (mistraltransformer static method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.loadSavedModel"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.loadSavedModel"]], "maxoutputlength (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.maxOutputLength"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.maxOutputLength"]], "minoutputlength (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.minOutputLength"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.minOutputLength"]], "name (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.name"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.name"]], "norepeatngramsize (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.noRepeatNgramSize"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.noRepeatNgramSize"]], "outputannotatortype (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.outputAnnotatorType"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.outputAnnotatorType"]], "pretrained() (mistraltransformer static method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.pretrained"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.pretrained"]], "repetitionpenalty (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.repetitionPenalty"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.repetitionPenalty"]], "setconfigprotobytes() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setConfigProtoBytes"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setConfigProtoBytes"]], "setdosample() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setDoSample"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setDoSample"]], "setignoretokenids() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setIgnoreTokenIds"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMaxOutputLength"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMaxOutputLength"]], "setminoutputlength() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMinOutputLength"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMinOutputLength"]], "setnorepeatngramsize() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setNoRepeatNgramSize"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setRepetitionPenalty"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setRepetitionPenalty"]], "settemperature() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTemperature"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTemperature"]], "settopk() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopK"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopK"]], "settopp() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopP"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopP"]], "sparknlp.annotator.seq2seq.mistral_transformer": [[171, "module-sparknlp.annotator.seq2seq.mistral_transformer"], [431, "module-sparknlp.annotator.seq2seq.mistral_transformer"]], "temperature (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.temperature"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.temperature"]], "topk (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topK"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topK"]], "topp (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topP"], [431, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topP"]], "nllbtransformer (class in sparknlp.annotator.seq2seq.nllb_transformer)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer"]], "beamsize (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.beamSize"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.beamSize"]], "configprotobytes (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.configProtoBytes"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.configProtoBytes"]], "dosample (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.doSample"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.doSample"]], "ignoretokenids (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.ignoreTokenIds"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.ignoreTokenIds"]], "inputannotatortypes (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.inputAnnotatorTypes"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (nllbtransformer static method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.loadSavedModel"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.loadSavedModel"]], "maxoutputlength (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.maxOutputLength"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.maxOutputLength"]], "minoutputlength (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.minOutputLength"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.minOutputLength"]], "name (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.name"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.name"]], "norepeatngramsize (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.noRepeatNgramSize"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.noRepeatNgramSize"]], "outputannotatortype (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.outputAnnotatorType"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.outputAnnotatorType"]], "pretrained() (nllbtransformer static method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.pretrained"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.pretrained"]], "repetitionpenalty (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.repetitionPenalty"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.repetitionPenalty"]], "setbeamsize() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setBeamSize"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setBeamSize"]], "setconfigprotobytes() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setConfigProtoBytes"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setConfigProtoBytes"]], "setdosample() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setDoSample"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setDoSample"]], "setignoretokenids() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setIgnoreTokenIds"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMaxOutputLength"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMaxOutputLength"]], "setminoutputlength() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMinOutputLength"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMinOutputLength"]], "setnorepeatngramsize() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setNoRepeatNgramSize"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setRepetitionPenalty"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setRepetitionPenalty"]], "setsrclang() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setSrcLang"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setSrcLang"]], "settemperature() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTemperature"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTemperature"]], "settgtlang() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTgtLang"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTgtLang"]], "settopk() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopK"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopK"]], "settopp() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopP"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopP"]], "sparknlp.annotator.seq2seq.nllb_transformer": [[172, "module-sparknlp.annotator.seq2seq.nllb_transformer"], [432, "module-sparknlp.annotator.seq2seq.nllb_transformer"]], "srclang (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.srcLang"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.srcLang"]], "temperature (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.temperature"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.temperature"]], "tgtlang (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.tgtLang"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.tgtLang"]], "topk (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topK"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topK"]], "topp (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topP"], [432, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topP"]], "olmotransformer (class in sparknlp.annotator.seq2seq.olmo_transformer)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer"]], "configprotobytes (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.configProtoBytes"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.configProtoBytes"]], "dosample (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.doSample"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.doSample"]], "ignoretokenids (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.ignoreTokenIds"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.ignoreTokenIds"]], "inputannotatortypes (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.inputAnnotatorTypes"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (olmotransformer static method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.loadSavedModel"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.loadSavedModel"]], "maxoutputlength (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.maxOutputLength"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.maxOutputLength"]], "minoutputlength (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.minOutputLength"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.minOutputLength"]], "name (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.name"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.name"]], "norepeatngramsize (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.noRepeatNgramSize"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.noRepeatNgramSize"]], "outputannotatortype (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.outputAnnotatorType"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.outputAnnotatorType"]], "pretrained() (olmotransformer static method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.pretrained"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.pretrained"]], "repetitionpenalty (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.repetitionPenalty"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.repetitionPenalty"]], "setconfigprotobytes() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setConfigProtoBytes"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setConfigProtoBytes"]], "setdosample() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setDoSample"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setDoSample"]], "setignoretokenids() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setIgnoreTokenIds"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMaxOutputLength"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMaxOutputLength"]], "setminoutputlength() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMinOutputLength"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMinOutputLength"]], "setnorepeatngramsize() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setNoRepeatNgramSize"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setRepetitionPenalty"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setRepetitionPenalty"]], "settemperature() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTemperature"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTemperature"]], "settopk() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopK"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopK"]], "settopp() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopP"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopP"]], "sparknlp.annotator.seq2seq.olmo_transformer": [[173, "module-sparknlp.annotator.seq2seq.olmo_transformer"], [433, "module-sparknlp.annotator.seq2seq.olmo_transformer"]], "temperature (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.temperature"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.temperature"]], "topk (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topK"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topK"]], "topp (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topP"], [433, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topP"]], "phi2transformer (class in sparknlp.annotator.seq2seq.phi2_transformer)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer"]], "configprotobytes (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.configProtoBytes"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.configProtoBytes"]], "dosample (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.doSample"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.doSample"]], "ignoretokenids (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.ignoreTokenIds"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.ignoreTokenIds"]], "inputannotatortypes (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.inputAnnotatorTypes"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (phi2transformer static method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.loadSavedModel"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.loadSavedModel"]], "maxoutputlength (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.maxOutputLength"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.maxOutputLength"]], "minoutputlength (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.minOutputLength"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.minOutputLength"]], "name (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.name"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.name"]], "norepeatngramsize (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.noRepeatNgramSize"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.noRepeatNgramSize"]], "outputannotatortype (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.outputAnnotatorType"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.outputAnnotatorType"]], "pretrained() (phi2transformer static method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.pretrained"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.pretrained"]], "repetitionpenalty (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.repetitionPenalty"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.repetitionPenalty"]], "setconfigprotobytes() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setConfigProtoBytes"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setConfigProtoBytes"]], "setdosample() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setDoSample"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setDoSample"]], "setignoretokenids() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setIgnoreTokenIds"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMaxOutputLength"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMaxOutputLength"]], "setminoutputlength() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMinOutputLength"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setNoRepeatNgramSize"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setRepetitionPenalty"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setRepetitionPenalty"]], "settemperature() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTemperature"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTemperature"]], "settopk() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopK"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopK"]], "settopp() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopP"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopP"]], "sparknlp.annotator.seq2seq.phi2_transformer": [[174, "module-sparknlp.annotator.seq2seq.phi2_transformer"], [434, "module-sparknlp.annotator.seq2seq.phi2_transformer"]], "temperature (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.temperature"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.temperature"]], "topk (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topK"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topK"]], "topp (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topP"], [434, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topP"]], "phi3transformer (class in sparknlp.annotator.seq2seq.phi3_transformer)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer"]], "configprotobytes (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.configProtoBytes"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.configProtoBytes"]], "dosample (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.doSample"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.doSample"]], "ignoretokenids (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.ignoreTokenIds"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.ignoreTokenIds"]], "inputannotatortypes (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.inputAnnotatorTypes"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (phi3transformer static method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.loadSavedModel"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.loadSavedModel"]], "maxoutputlength (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.maxOutputLength"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.maxOutputLength"]], "minoutputlength (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.minOutputLength"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.minOutputLength"]], "name (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.name"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.name"]], "norepeatngramsize (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.noRepeatNgramSize"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.noRepeatNgramSize"]], "outputannotatortype (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.outputAnnotatorType"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.outputAnnotatorType"]], "pretrained() (phi3transformer static method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.pretrained"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.pretrained"]], "repetitionpenalty (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.repetitionPenalty"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.repetitionPenalty"]], "setconfigprotobytes() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setConfigProtoBytes"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setConfigProtoBytes"]], "setdosample() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setDoSample"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setDoSample"]], "setignoretokenids() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setIgnoreTokenIds"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMaxOutputLength"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMaxOutputLength"]], "setminoutputlength() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMinOutputLength"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMinOutputLength"]], "setnorepeatngramsize() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setNoRepeatNgramSize"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setRepetitionPenalty"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setRepetitionPenalty"]], "settemperature() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTemperature"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTemperature"]], "settopk() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopK"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopK"]], "settopp() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopP"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopP"]], "sparknlp.annotator.seq2seq.phi3_transformer": [[175, "module-sparknlp.annotator.seq2seq.phi3_transformer"], [435, "module-sparknlp.annotator.seq2seq.phi3_transformer"]], "temperature (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.temperature"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.temperature"]], "topk (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topK"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topK"]], "topp (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topP"], [435, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topP"]], "phi4transformer (class in sparknlp.annotator.seq2seq.phi4_transformer)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer"]], "beamsize (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.beamSize"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.beamSize"]], "configprotobytes (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.configProtoBytes"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.configProtoBytes"]], "dosample (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.doSample"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.doSample"]], "ignoretokenids (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.ignoreTokenIds"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.ignoreTokenIds"]], "inputannotatortypes (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.inputAnnotatorTypes"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (phi4transformer static method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.loadSavedModel"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.loadSavedModel"]], "maxoutputlength (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.maxOutputLength"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.maxOutputLength"]], "minoutputlength (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.minOutputLength"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.minOutputLength"]], "name (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.name"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.name"]], "norepeatngramsize (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.noRepeatNgramSize"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.noRepeatNgramSize"]], "outputannotatortype (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.outputAnnotatorType"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.outputAnnotatorType"]], "pretrained() (phi4transformer static method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.pretrained"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.pretrained"]], "repetitionpenalty (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.repetitionPenalty"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.repetitionPenalty"]], "setbeamsize() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setBeamSize"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setBeamSize"]], "setconfigprotobytes() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setConfigProtoBytes"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setConfigProtoBytes"]], "setdosample() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setDoSample"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setDoSample"]], "setignoretokenids() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setIgnoreTokenIds"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMaxOutputLength"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMaxOutputLength"]], "setminoutputlength() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMinOutputLength"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMinOutputLength"]], "setnorepeatngramsize() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setNoRepeatNgramSize"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setRepetitionPenalty"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setRepetitionPenalty"]], "setstoptokenids() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setStopTokenIds"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setStopTokenIds"]], "settemperature() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTemperature"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTemperature"]], "settopk() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopK"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopK"]], "settopp() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopP"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopP"]], "sparknlp.annotator.seq2seq.phi4_transformer": [[176, "module-sparknlp.annotator.seq2seq.phi4_transformer"], [436, "module-sparknlp.annotator.seq2seq.phi4_transformer"]], "stoptokenids (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.stopTokenIds"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.stopTokenIds"]], "temperature (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.temperature"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.temperature"]], "topk (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topK"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topK"]], "topp (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topP"], [436, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topP"]], "qwentransformer (class in sparknlp.annotator.seq2seq.qwen_transformer)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer"]], "configprotobytes (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.configProtoBytes"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.configProtoBytes"]], "dosample (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.doSample"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.doSample"]], "ignoretokenids (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.ignoreTokenIds"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.ignoreTokenIds"]], "inputannotatortypes (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.inputAnnotatorTypes"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (qwentransformer static method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.loadSavedModel"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.loadSavedModel"]], "maxoutputlength (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.maxOutputLength"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.maxOutputLength"]], "minoutputlength (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.minOutputLength"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.minOutputLength"]], "name (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.name"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.name"]], "norepeatngramsize (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.noRepeatNgramSize"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.noRepeatNgramSize"]], "outputannotatortype (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.outputAnnotatorType"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.outputAnnotatorType"]], "pretrained() (qwentransformer static method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.pretrained"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.pretrained"]], "repetitionpenalty (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.repetitionPenalty"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.repetitionPenalty"]], "setconfigprotobytes() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setConfigProtoBytes"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setConfigProtoBytes"]], "setdosample() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setDoSample"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setDoSample"]], "setignoretokenids() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setIgnoreTokenIds"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMaxOutputLength"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMaxOutputLength"]], "setminoutputlength() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMinOutputLength"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMinOutputLength"]], "setnorepeatngramsize() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setNoRepeatNgramSize"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setRepetitionPenalty"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setRepetitionPenalty"]], "settemperature() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTemperature"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTemperature"]], "settopk() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopK"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopK"]], "settopp() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopP"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopP"]], "sparknlp.annotator.seq2seq.qwen_transformer": [[177, "module-sparknlp.annotator.seq2seq.qwen_transformer"], [437, "module-sparknlp.annotator.seq2seq.qwen_transformer"]], "temperature (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.temperature"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.temperature"]], "topk (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topK"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topK"]], "topp (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topP"], [437, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topP"]], "starcodertransformer (class in sparknlp.annotator.seq2seq.starcoder_transformer)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer"]], "configprotobytes (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.configProtoBytes"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.configProtoBytes"]], "dosample (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.doSample"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.doSample"]], "ignoretokenids (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.ignoreTokenIds"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.ignoreTokenIds"]], "inputannotatortypes (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.inputAnnotatorTypes"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (starcodertransformer static method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.loadSavedModel"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.loadSavedModel"]], "maxoutputlength (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.maxOutputLength"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.maxOutputLength"]], "minoutputlength (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.minOutputLength"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.minOutputLength"]], "name (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.name"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.name"]], "norepeatngramsize (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.noRepeatNgramSize"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.noRepeatNgramSize"]], "outputannotatortype (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.outputAnnotatorType"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.outputAnnotatorType"]], "pretrained() (starcodertransformer static method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.pretrained"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.pretrained"]], "repetitionpenalty (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.repetitionPenalty"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.repetitionPenalty"]], "setconfigprotobytes() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setConfigProtoBytes"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setConfigProtoBytes"]], "setdosample() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setDoSample"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setDoSample"]], "setignoretokenids() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setIgnoreTokenIds"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMaxOutputLength"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMaxOutputLength"]], "setminoutputlength() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMinOutputLength"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMinOutputLength"]], "setnorepeatngramsize() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setNoRepeatNgramSize"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setRepetitionPenalty"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setRepetitionPenalty"]], "settemperature() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTemperature"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTemperature"]], "settopk() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopK"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopK"]], "settopp() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopP"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopP"]], "sparknlp.annotator.seq2seq.starcoder_transformer": [[178, "module-sparknlp.annotator.seq2seq.starcoder_transformer"], [438, "module-sparknlp.annotator.seq2seq.starcoder_transformer"]], "temperature (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.temperature"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.temperature"]], "topk (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topK"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topK"]], "topp (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topP"], [438, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topP"]], "t5transformer (class in sparknlp.annotator.seq2seq.t5_transformer)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer"]], "configprotobytes (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.configProtoBytes"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.configProtoBytes"]], "dosample (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.doSample"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.doSample"]], "ignoretokenids (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.ignoreTokenIds"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.ignoreTokenIds"]], "inputannotatortypes (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.inputAnnotatorTypes"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (t5transformer static method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.loadSavedModel"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.loadSavedModel"]], "maxnewtokens (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxNewTokens"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxNewTokens"]], "maxoutputlength (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxOutputLength"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxOutputLength"]], "minoutputlength (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.minOutputLength"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.minOutputLength"]], "name (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.name"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.name"]], "norepeatngramsize (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.noRepeatNgramSize"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.noRepeatNgramSize"]], "outputannotatortype (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.outputAnnotatorType"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.outputAnnotatorType"]], "pretrained() (t5transformer static method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.pretrained"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.pretrained"]], "repetitionpenalty (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.repetitionPenalty"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.repetitionPenalty"]], "setconfigprotobytes() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setConfigProtoBytes"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setConfigProtoBytes"]], "setdosample() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setDoSample"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setDoSample"]], "setignoretokenids() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setIgnoreTokenIds"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setIgnoreTokenIds"]], "setmaxnewtokens() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxNewTokens"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxNewTokens"]], "setmaxoutputlength() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxOutputLength"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxOutputLength"]], "setminoutputlength() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMinOutputLength"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMinOutputLength"]], "setnorepeatngramsize() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setNoRepeatNgramSize"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setRepetitionPenalty"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setRepetitionPenalty"]], "setstopateos() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setStopAtEos"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setStopAtEos"]], "settask() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTask"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTask"]], "settemperature() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTemperature"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTemperature"]], "settopk() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopK"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopK"]], "settopp() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopP"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopP"]], "setusecache() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setUseCache"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setUseCache"]], "sparknlp.annotator.seq2seq.t5_transformer": [[179, "module-sparknlp.annotator.seq2seq.t5_transformer"], [439, "module-sparknlp.annotator.seq2seq.t5_transformer"]], "stopateos (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.stopAtEos"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.stopAtEos"]], "task (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.task"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.task"]], "temperature (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.temperature"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.temperature"]], "topk (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topK"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topK"]], "topp (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topP"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topP"]], "usecache (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.useCache"], [439, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.useCache"]], "sparknlp.annotator.similarity": [[180, "module-sparknlp.annotator.similarity"], [441, "module-sparknlp.annotator.similarity"]], "documentsimilarityrankerapproach (class in sparknlp.annotator.similarity.document_similarity_ranker)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach"]], "documentsimilarityrankerfinisher (class in sparknlp.annotator.similarity.document_similarity_ranker)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher"]], "documentsimilarityrankermodel (class in sparknlp.annotator.similarity.document_similarity_ranker)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel"]], "aggregationmethod (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.aggregationMethod"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.aggregationMethod"]], "asretriever() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetriever"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetriever"]], "asretrieverquery (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetrieverQuery"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetrieverQuery"]], "bucketlength (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.bucketLength"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.bucketLength"]], "extractnearestneighbor (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.extractNearestNeighbor"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.extractNearestNeighbor"]], "getinputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getInputCols"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getInputCols"]], "getoutputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getOutputCols"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getOutputCols"]], "identityranking (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.identityRanking"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.identityRanking"]], "inputannotatortypes (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.inputAnnotatorTypes"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.inputAnnotatorTypes"]], "inputannotatortypes (documentsimilarityrankermodel attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.inputAnnotatorTypes"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.inputAnnotatorTypes"]], "inputcols (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.inputCols"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.inputCols"]], "name (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.name"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.name"]], "name (documentsimilarityrankermodel attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.name"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.name"]], "numhashtables (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numHashTables"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numHashTables"]], "numberofneighbours (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numberOfNeighbours"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numberOfNeighbours"]], "outputannotatortype (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.outputAnnotatorType"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.outputAnnotatorType"]], "outputannotatortype (documentsimilarityrankermodel attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.outputAnnotatorType"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.outputAnnotatorType"]], "outputcols (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.outputCols"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.outputCols"]], "setaggregationmethod() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setAggregationMethod"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setAggregationMethod"]], "setbucketlength() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setBucketLength"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setBucketLength"]], "setextractnearestneighbor() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setExtractNearestNeighbor"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setExtractNearestNeighbor"]], "setidentityranking() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setIdentityRanking"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setIdentityRanking"]], "setinputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setInputCols"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setInputCols"]], "setnumhashtables() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumHashTables"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumHashTables"]], "setnumberofneighbours() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumberOfNeighbours"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumberOfNeighbours"]], "setoutputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setOutputCols"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setOutputCols"]], "setparams() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setParams"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setParams"]], "setsimilaritymethod() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setSimilarityMethod"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setSimilarityMethod"]], "setvisibledistances() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setVisibleDistances"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setVisibleDistances"]], "similaritymethod (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.similarityMethod"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.similarityMethod"]], "sparknlp.annotator.similarity.document_similarity_ranker": [[181, "module-sparknlp.annotator.similarity.document_similarity_ranker"], [440, "module-sparknlp.annotator.similarity.document_similarity_ranker"]], "visibledistances (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.visibleDistances"], [440, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.visibleDistances"]], "sparknlp.annotator.spell_check": [[182, "module-sparknlp.annotator.spell_check"], [443, "module-sparknlp.annotator.spell_check"]], "contextspellcheckerapproach (class in sparknlp.annotator.spell_check.context_spell_checker)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach"]], "contextspellcheckermodel (class in sparknlp.annotator.spell_check.context_spell_checker)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel"]], "addregexclass() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addRegexClass"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addRegexClass"]], "addvocabclass() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addVocabClass"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addVocabClass"]], "batchsize (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.batchSize"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.batchSize"]], "casestrategy (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.caseStrategy"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.caseStrategy"]], "casestrategy (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.caseStrategy"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.caseStrategy"]], "classcount (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.classCount"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.classCount"]], "classes (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.classes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.classes"]], "comparelowcase (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.compareLowcase"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.compareLowcase"]], "compoundcount (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.compoundCount"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.compoundCount"]], "configprotobytes (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.configProtoBytes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.configProtoBytes"]], "configprotobytes (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.configProtoBytes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.configProtoBytes"]], "correctsymbols (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.correctSymbols"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.correctSymbols"]], "epochs (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.epochs"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.epochs"]], "errorthreshold (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.errorThreshold"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.errorThreshold"]], "errorthreshold (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.errorThreshold"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.errorThreshold"]], "finalrate (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.finalRate"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.finalRate"]], "gamma (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.gamma"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.gamma"]], "getwordclasses() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.getWordClasses"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.getWordClasses"]], "graphfolder (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.graphFolder"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.graphFolder"]], "idsvocab (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.idsVocab"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.idsVocab"]], "initialrate (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.initialRate"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.initialRate"]], "inputannotatortypes (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.inputAnnotatorTypes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.inputAnnotatorTypes"]], "inputannotatortypes (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.inputAnnotatorTypes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.inputAnnotatorTypes"]], "languagemodelclasses (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.languageModelClasses"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.languageModelClasses"]], "maxcandidates (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxCandidates"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxCandidates"]], "maxcandidates (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxCandidates"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxCandidates"]], "maxsentlen (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxSentLen"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxSentLen"]], "maxwindowlen (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxWindowLen"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxWindowLen"]], "maxwindowlen (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxWindowLen"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxWindowLen"]], "mincount (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.minCount"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.minCount"]], "name (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.name"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.name"]], "name (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.name"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.name"]], "outputannotatortype (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.outputAnnotatorType"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.outputAnnotatorType"]], "outputannotatortype (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.outputAnnotatorType"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.outputAnnotatorType"]], "pretrained() (contextspellcheckermodel static method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.pretrained"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.pretrained"]], "setbatchsize() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setBatchSize"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setBatchSize"]], "setcasestrategy() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCaseStrategy"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCaseStrategy"]], "setcasestrategy() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCaseStrategy"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCaseStrategy"]], "setclasscount() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setClassCount"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setClassCount"]], "setclasses() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setClasses"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setClasses"]], "setcomparelowcase() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCompareLowcase"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCompareLowcase"]], "setcompoundcount() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCompoundCount"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCompoundCount"]], "setconfigprotobytes() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setConfigProtoBytes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setConfigProtoBytes"]], "setconfigprotobytes() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setConfigProtoBytes"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setConfigProtoBytes"]], "setcorrectsymbols() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCorrectSymbols"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCorrectSymbols"]], "setepochs() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setEpochs"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setEpochs"]], "seterrorthreshold() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setErrorThreshold"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setErrorThreshold"]], "seterrorthreshold() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setErrorThreshold"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setErrorThreshold"]], "setfinalrate() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setFinalRate"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setFinalRate"]], "setgamma() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setGamma"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setGamma"]], "setgraphfolder() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setGraphFolder"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setGraphFolder"]], "setidsvocab() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setIdsVocab"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setIdsVocab"]], "setinitialrate() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setInitialRate"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setInitialRate"]], "setlanguagemodelclasses() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setLanguageModelClasses"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setLanguageModelClasses"]], "setmaxcandidates() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxCandidates"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxCandidates"]], "setmaxcandidates() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxCandidates"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxCandidates"]], "setmaxsentlen() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxSentLen"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxSentLen"]], "setmaxwindowlen() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxWindowLen"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxWindowLen"]], "setmaxwindowlen() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxWindowLen"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxWindowLen"]], "setmincount() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMinCount"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMinCount"]], "settradeoff() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setTradeoff"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setTradeoff"]], "settradeoff() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setTradeoff"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setTradeoff"]], "setvalidationfraction() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setValidationFraction"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setValidationFraction"]], "setvocabfreq() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabFreq"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabFreq"]], "setvocabids() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabIds"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabIds"]], "setweighteddistpath() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWeightedDistPath"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWeightedDistPath"]], "setweights() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWeights"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWeights"]], "setwordmaxdistance() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWordMaxDistance"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWordMaxDistance"]], "setwordmaxdistance() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWordMaxDistance"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWordMaxDistance"]], "sparknlp.annotator.spell_check.context_spell_checker": [[183, "module-sparknlp.annotator.spell_check.context_spell_checker"], [442, "module-sparknlp.annotator.spell_check.context_spell_checker"]], "tradeoff (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.tradeoff"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.tradeoff"]], "tradeoff (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.tradeoff"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.tradeoff"]], "updateregexclass() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateRegexClass"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateRegexClass"]], "updatevocabclass() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateVocabClass"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateVocabClass"]], "validationfraction (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.validationFraction"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.validationFraction"]], "vocabfreq (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabFreq"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabFreq"]], "vocabids (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabIds"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabIds"]], "weighteddistpath (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.weightedDistPath"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.weightedDistPath"]], "wordmaxdistance (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.wordMaxDistance"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.wordMaxDistance"]], "wordmaxdistance (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.wordMaxDistance"], [442, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.wordMaxDistance"]], "norvigsweetingapproach (class in sparknlp.annotator.spell_check.norvig_sweeting)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach"]], "norvigsweetingmodel (class in sparknlp.annotator.spell_check.norvig_sweeting)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel"]], "casesensitive (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.caseSensitive"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.caseSensitive"]], "dictionary (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dictionary"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dictionary"]], "doublevariants (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.doubleVariants"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.doubleVariants"]], "dupslimit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dupsLimit"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dupsLimit"]], "frequencypriority (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.frequencyPriority"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.frequencyPriority"]], "inputannotatortypes (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.inputAnnotatorTypes"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.inputAnnotatorTypes"]], "inputannotatortypes (norvigsweetingmodel attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.inputAnnotatorTypes"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.inputAnnotatorTypes"]], "intersections (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.intersections"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.intersections"]], "name (norvigsweetingmodel attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.name"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.name"]], "outputannotatortype (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.outputAnnotatorType"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.outputAnnotatorType"]], "outputannotatortype (norvigsweetingmodel attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.outputAnnotatorType"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.outputAnnotatorType"]], "pretrained() (norvigsweetingmodel static method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.pretrained"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.pretrained"]], "reductlimit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.reductLimit"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.reductLimit"]], "setcasesensitive() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setCaseSensitive"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setCaseSensitive"]], "setdictionary() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDictionary"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDictionary"]], "setdoublevariants() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDoubleVariants"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDoubleVariants"]], "setfrequencypriority() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setFrequencyPriority"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setFrequencyPriority"]], "setshortcircuit() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setShortCircuit"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setShortCircuit"]], "shortcircuit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.shortCircuit"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.shortCircuit"]], "sparknlp.annotator.spell_check.norvig_sweeting": [[184, "module-sparknlp.annotator.spell_check.norvig_sweeting"], [444, "module-sparknlp.annotator.spell_check.norvig_sweeting"]], "vowelswaplimit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.vowelSwapLimit"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.vowelSwapLimit"]], "wordsizeignore (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.wordSizeIgnore"], [444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.wordSizeIgnore"]], "symmetricdeleteapproach (class in sparknlp.annotator.spell_check.symmetric_delete)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach"]], "symmetricdeletemodel (class in sparknlp.annotator.spell_check.symmetric_delete)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel"]], "corpus (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.corpus"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.corpus"]], "deletesthreshold (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.deletesThreshold"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.deletesThreshold"]], "dictionary (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dictionary"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dictionary"]], "dupslimit (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dupsLimit"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dupsLimit"]], "frequencythreshold (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.frequencyThreshold"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.frequencyThreshold"]], "inputannotatortypes (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.inputAnnotatorTypes"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.inputAnnotatorTypes"]], "inputannotatortypes (symmetricdeletemodel attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.inputAnnotatorTypes"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.inputAnnotatorTypes"]], "maxeditdistance (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.maxEditDistance"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.maxEditDistance"]], "name (symmetricdeletemodel attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.name"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.name"]], "outputannotatortype (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.outputAnnotatorType"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.outputAnnotatorType"]], "outputannotatortype (symmetricdeletemodel attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.outputAnnotatorType"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.outputAnnotatorType"]], "pretrained() (symmetricdeletemodel static method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.pretrained"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.pretrained"]], "setdeletesthreshold() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDeletesThreshold"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDeletesThreshold"]], "setdictionary() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDictionary"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDictionary"]], "setfrequencythreshold() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setFrequencyThreshold"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setFrequencyThreshold"]], "setmaxeditdistance() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setMaxEditDistance"], [445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setMaxEditDistance"]], "sparknlp.annotator.spell_check.symmetric_delete": [[185, "module-sparknlp.annotator.spell_check.symmetric_delete"], [445, "module-sparknlp.annotator.spell_check.symmetric_delete"]], "stemmer (class in sparknlp.annotator.stemmer)": [[186, "sparknlp.annotator.stemmer.Stemmer"], [446, "sparknlp.annotator.stemmer.Stemmer"]], "inputannotatortypes (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.inputAnnotatorTypes"], [446, "sparknlp.annotator.stemmer.Stemmer.inputAnnotatorTypes"]], "language (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.language"], [446, "sparknlp.annotator.stemmer.Stemmer.language"]], "name (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.name"], [446, "sparknlp.annotator.stemmer.Stemmer.name"]], "outputannotatortype (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.outputAnnotatorType"], [446, "sparknlp.annotator.stemmer.Stemmer.outputAnnotatorType"]], "sparknlp.annotator.stemmer": [[186, "module-sparknlp.annotator.stemmer"], [446, "module-sparknlp.annotator.stemmer"]], "stopwordscleaner (class in sparknlp.annotator.stop_words_cleaner)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner"]], "casesensitive (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.caseSensitive"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.caseSensitive"]], "inputannotatortypes (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.inputAnnotatorTypes"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.inputAnnotatorTypes"]], "loaddefaultstopwords() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.loadDefaultStopWords"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.loadDefaultStopWords"]], "locale (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.locale"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.locale"]], "name (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.name"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.name"]], "outputannotatortype (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.outputAnnotatorType"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.outputAnnotatorType"]], "pretrained() (stopwordscleaner static method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.pretrained"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.pretrained"]], "setcasesensitive() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setCaseSensitive"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setCaseSensitive"]], "setlocale() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setLocale"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setLocale"]], "setstopwords() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setStopWords"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setStopWords"]], "sparknlp.annotator.stop_words_cleaner": [[187, "module-sparknlp.annotator.stop_words_cleaner"], [447, "module-sparknlp.annotator.stop_words_cleaner"]], "stopwords (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.stopWords"], [447, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.stopWords"]], "tfnerdlgraphbuilder (class in sparknlp.annotator.tf_ner_dl_graph_builder)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder"]], "tfnerdlgraphbuildermodel (class in sparknlp.annotator.tf_ner_dl_graph_builder)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilderModel"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilderModel"]], "getgraphfile() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFile"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFile"]], "getgraphfolder() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFolder"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFolder"]], "gethiddenunitsnumber() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getHiddenUnitsNumber"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getHiddenUnitsNumber"]], "getinputcols() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getInputCols"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getInputCols"]], "getlabelcolumn() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getLabelColumn"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getLabelColumn"]], "graphfile (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFile"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFile"]], "graphfolder (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFolder"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFolder"]], "hiddenunitsnumber (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.hiddenUnitsNumber"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.hiddenUnitsNumber"]], "inputannotatortypes (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputAnnotatorTypes"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputAnnotatorTypes"]], "inputcols (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputCols"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputCols"]], "inputcolsvalidation() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputColsValidation"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputColsValidation"]], "labelcolumn (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.labelColumn"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.labelColumn"]], "setgraphfile() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFile"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFile"]], "setgraphfolder() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFolder"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFolder"]], "sethiddenunitsnumber() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setHiddenUnitsNumber"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setHiddenUnitsNumber"]], "setinputcols() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setInputCols"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setInputCols"]], "setlabelcolumn() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setLabelColumn"], [448, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setLabelColumn"]], "sparknlp.annotator.tf_ner_dl_graph_builder": [[188, "module-sparknlp.annotator.tf_ner_dl_graph_builder"], [448, "module-sparknlp.annotator.tf_ner_dl_graph_builder"]], "sparknlp.annotator.token": [[189, "module-sparknlp.annotator.token"], [450, "module-sparknlp.annotator.token"]], "chunktokenizer (class in sparknlp.annotator.token.chunk_tokenizer)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer"], [449, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer"]], "chunktokenizermodel (class in sparknlp.annotator.token.chunk_tokenizer)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel"], [449, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel"]], "inputannotatortypes (chunktokenizer attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.inputAnnotatorTypes"], [449, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.inputAnnotatorTypes"]], "inputannotatortypes (chunktokenizermodel attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.inputAnnotatorTypes"], [449, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.inputAnnotatorTypes"]], "name (chunktokenizer attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.name"], [449, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.name"]], "name (chunktokenizermodel attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.name"], [449, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.name"]], "sparknlp.annotator.token.chunk_tokenizer": [[190, "module-sparknlp.annotator.token.chunk_tokenizer"], [449, "module-sparknlp.annotator.token.chunk_tokenizer"]], "recursivetokenizer (class in sparknlp.annotator.token.recursive_tokenizer)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer"]], "recursivetokenizermodel (class in sparknlp.annotator.token.recursive_tokenizer)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel"]], "infixes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.infixes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.infixes"]], "inputannotatortypes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.inputAnnotatorTypes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.inputAnnotatorTypes"]], "inputannotatortypes (recursivetokenizermodel attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.inputAnnotatorTypes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.inputAnnotatorTypes"]], "name (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.name"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.name"]], "name (recursivetokenizermodel attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.name"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.name"]], "outputannotatortype (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.outputAnnotatorType"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.outputAnnotatorType"]], "outputannotatortype (recursivetokenizermodel attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.outputAnnotatorType"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.outputAnnotatorType"]], "prefixes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.prefixes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.prefixes"]], "setinfixes() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setInfixes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setInfixes"]], "setprefixes() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setPrefixes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setPrefixes"]], "setsuffixes() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setSuffixes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setSuffixes"]], "setwhitelist() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setWhitelist"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setWhitelist"]], "sparknlp.annotator.token.recursive_tokenizer": [[191, "module-sparknlp.annotator.token.recursive_tokenizer"], [451, "module-sparknlp.annotator.token.recursive_tokenizer"]], "suffixes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.suffixes"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.suffixes"]], "whitelist (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.whitelist"], [451, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.whitelist"]], "regextokenizer (class in sparknlp.annotator.token.regex_tokenizer)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer"]], "inputannotatortypes (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.inputAnnotatorTypes"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.inputAnnotatorTypes"]], "maxlength (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.maxLength"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.maxLength"]], "minlength (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.minLength"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.minLength"]], "name (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.name"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.name"]], "outputannotatortype (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.outputAnnotatorType"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.outputAnnotatorType"]], "pattern (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.pattern"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.pattern"]], "positionalmask (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.positionalMask"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.positionalMask"]], "preserveposition (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.preservePosition"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.preservePosition"]], "setmaxlength() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMaxLength"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMaxLength"]], "setminlength() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMinLength"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMinLength"]], "setpattern() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPattern"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPattern"]], "setpositionalmask() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPositionalMask"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPositionalMask"]], "setpreserveposition() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPreservePosition"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPreservePosition"]], "settolowercase() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setToLowercase"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setToLowercase"]], "settrimwhitespace() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setTrimWhitespace"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setTrimWhitespace"]], "sparknlp.annotator.token.regex_tokenizer": [[192, "module-sparknlp.annotator.token.regex_tokenizer"], [452, "module-sparknlp.annotator.token.regex_tokenizer"]], "tolowercase (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.toLowercase"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.toLowercase"]], "trimwhitespace (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.trimWhitespace"], [452, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.trimWhitespace"]], "tokenizer (class in sparknlp.annotator.token.tokenizer)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer"]], "tokenizermodel (class in sparknlp.annotator.token.tokenizer)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel"]], "addcontextchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addContextChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.addContextChars"]], "addexception() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addException"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.addException"]], "addinfixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addInfixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.addInfixPattern"]], "addsplitchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addSplitChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.addSplitChars"]], "addsplitchars() (tokenizermodel method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.addSplitChars"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.addSplitChars"]], "casesensitiveexceptions (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.caseSensitiveExceptions"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.caseSensitiveExceptions"]], "casesensitiveexceptions (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.caseSensitiveExceptions"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.caseSensitiveExceptions"]], "contextchars (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.contextChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.contextChars"]], "exceptions (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptions"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptions"]], "exceptions (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.exceptions"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.exceptions"]], "exceptionspath (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptionsPath"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptionsPath"]], "getcasesensitiveexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getCaseSensitiveExceptions"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getCaseSensitiveExceptions"]], "getcontextchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getContextChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getContextChars"]], "getexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getExceptions"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getExceptions"]], "getinfixpatterns() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getInfixPatterns"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getInfixPatterns"]], "getprefixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getPrefixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getPrefixPattern"]], "getsplitchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getSplitChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getSplitChars"]], "getsuffixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getSuffixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.getSuffixPattern"]], "infixpatterns (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.infixPatterns"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.infixPatterns"]], "inputannotatortypes (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.inputAnnotatorTypes"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.inputAnnotatorTypes"]], "inputannotatortypes (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.inputAnnotatorTypes"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.inputAnnotatorTypes"]], "maxlength (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.maxLength"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.maxLength"]], "minlength (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.minLength"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.minLength"]], "name (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.name"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.name"]], "name (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.name"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.name"]], "outputannotatortype (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.outputAnnotatorType"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.outputAnnotatorType"]], "outputannotatortype (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.outputAnnotatorType"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.outputAnnotatorType"]], "prefixpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.prefixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.prefixPattern"]], "pretrained() (tokenizermodel static method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.pretrained"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.pretrained"]], "rules (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.rules"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.rules"]], "setcasesensitiveexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setCaseSensitiveExceptions"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setCaseSensitiveExceptions"]], "setcontextchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setContextChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setContextChars"]], "setexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptions"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptions"]], "setexceptionspath() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptionsPath"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptionsPath"]], "setinfixpatterns() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setInfixPatterns"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setInfixPatterns"]], "setmaxlength() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setMaxLength"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setMaxLength"]], "setminlength() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setMinLength"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setMinLength"]], "setprefixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setPrefixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setPrefixPattern"]], "setsplitchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitChars"]], "setsplitchars() (tokenizermodel method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitChars"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitChars"]], "setsplitpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitPattern"]], "setsplitpattern() (tokenizermodel method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitPattern"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitPattern"]], "setsuffixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setSuffixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setSuffixPattern"]], "settargetpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setTargetPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.setTargetPattern"]], "sparknlp.annotator.token.tokenizer": [[193, "module-sparknlp.annotator.token.tokenizer"], [453, "module-sparknlp.annotator.token.tokenizer"]], "splitchars (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.splitChars"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.splitChars"]], "splitchars (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitChars"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitChars"]], "splitpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.splitPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.splitPattern"]], "splitpattern (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitPattern"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitPattern"]], "suffixpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.suffixPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.suffixPattern"]], "targetpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.targetPattern"], [453, "sparknlp.annotator.token.tokenizer.Tokenizer.targetPattern"]], "targetpattern (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.targetPattern"], [453, "sparknlp.annotator.token.tokenizer.TokenizerModel.targetPattern"]], "token2chunk (class in sparknlp.annotator.token2_chunk)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk"], [454, "sparknlp.annotator.token2_chunk.Token2Chunk"]], "inputannotatortypes (token2chunk attribute)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk.inputAnnotatorTypes"], [454, "sparknlp.annotator.token2_chunk.Token2Chunk.inputAnnotatorTypes"]], "name (token2chunk attribute)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk.name"], [454, "sparknlp.annotator.token2_chunk.Token2Chunk.name"]], "outputannotatortype (token2chunk attribute)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk.outputAnnotatorType"], [454, "sparknlp.annotator.token2_chunk.Token2Chunk.outputAnnotatorType"]], "sparknlp.annotator.token2_chunk": [[194, "module-sparknlp.annotator.token2_chunk"], [454, "module-sparknlp.annotator.token2_chunk"]], "sparknlp.annotator.ws": [[195, "module-sparknlp.annotator.ws"], [455, "module-sparknlp.annotator.ws"]], "wordsegmenterapproach (class in sparknlp.annotator.ws.word_segmenter)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach"]], "wordsegmentermodel (class in sparknlp.annotator.ws.word_segmenter)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel"]], "ambiguitythreshold (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.ambiguityThreshold"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.ambiguityThreshold"]], "enableregextokenizer (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.enableRegexTokenizer"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.enableRegexTokenizer"]], "enableregextokenizer (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.enableRegexTokenizer"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.enableRegexTokenizer"]], "frequencythreshold (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.frequencyThreshold"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.frequencyThreshold"]], "getambiguitythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getAmbiguityThreshold"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getAmbiguityThreshold"]], "getfrequencythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getFrequencyThreshold"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getFrequencyThreshold"]], "getniterations() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getNIterations"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getNIterations"]], "inputannotatortypes (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.inputAnnotatorTypes"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.inputAnnotatorTypes"]], "inputannotatortypes (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.inputAnnotatorTypes"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.inputAnnotatorTypes"]], "niterations (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.nIterations"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.nIterations"]], "name (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.name"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.name"]], "name (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.name"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.name"]], "outputannotatortype (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.outputAnnotatorType"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.outputAnnotatorType"]], "outputannotatortype (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.outputAnnotatorType"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.outputAnnotatorType"]], "pattern (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.pattern"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.pattern"]], "pattern (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pattern"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pattern"]], "poscol (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.posCol"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.posCol"]], "pretrained() (wordsegmentermodel static method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pretrained"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pretrained"]], "setambiguitythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setAmbiguityThreshold"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setAmbiguityThreshold"]], "setenableregextokenizer() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setEnableRegexTokenizer"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setEnableRegexTokenizer"]], "setenableregextokenizer() (wordsegmentermodel method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setEnableRegexTokenizer"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setEnableRegexTokenizer"]], "setfrequencythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setFrequencyThreshold"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setFrequencyThreshold"]], "setniterations() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setNIterations"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setNIterations"]], "setpattern() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPattern"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPattern"]], "setpattern() (wordsegmentermodel method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setPattern"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setPattern"]], "setposcolumn() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPosColumn"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPosColumn"]], "settolowercase() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setToLowercase"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setToLowercase"]], "settolowercase() (wordsegmentermodel method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setToLowercase"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setToLowercase"]], "sparknlp.annotator.ws.word_segmenter": [[196, "module-sparknlp.annotator.ws.word_segmenter"], [456, "module-sparknlp.annotator.ws.word_segmenter"]], "tolowercase (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.toLowercase"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.toLowercase"]], "tolowercase (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.toLowercase"], [456, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.toLowercase"]], "sparknlp.base": [[197, "module-sparknlp.base"], [467, "module-sparknlp.base"]], "audioassembler (class in sparknlp.base.audio_assembler)": [[198, "sparknlp.base.audio_assembler.AudioAssembler"], [457, "sparknlp.base.audio_assembler.AudioAssembler"]], "getoutputcol() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.getOutputCol"], [457, "sparknlp.base.audio_assembler.AudioAssembler.getOutputCol"]], "inputcol (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.inputCol"], [457, "sparknlp.base.audio_assembler.AudioAssembler.inputCol"]], "name (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.name"], [457, "sparknlp.base.audio_assembler.AudioAssembler.name"]], "outputannotatortype (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.outputAnnotatorType"], [457, "sparknlp.base.audio_assembler.AudioAssembler.outputAnnotatorType"]], "outputcol (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.outputCol"], [457, "sparknlp.base.audio_assembler.AudioAssembler.outputCol"]], "setinputcol() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.setInputCol"], [457, "sparknlp.base.audio_assembler.AudioAssembler.setInputCol"]], "setoutputcol() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.setOutputCol"], [457, "sparknlp.base.audio_assembler.AudioAssembler.setOutputCol"]], "setparams() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.setParams"], [457, "sparknlp.base.audio_assembler.AudioAssembler.setParams"]], "sparknlp.base.audio_assembler": [[198, "module-sparknlp.base.audio_assembler"], [457, "module-sparknlp.base.audio_assembler"]], "doc2chunk (class in sparknlp.base.doc2_chunk)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk"]], "chunkcol (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.chunkCol"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.chunkCol"]], "failonmissing (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.failOnMissing"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.failOnMissing"]], "inputannotatortypes (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.inputAnnotatorTypes"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.inputAnnotatorTypes"]], "isarray (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.isArray"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.isArray"]], "lowercase (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.lowerCase"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.lowerCase"]], "name (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.name"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.name"]], "outputannotatortype (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.outputAnnotatorType"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.outputAnnotatorType"]], "setchunkcol() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setChunkCol"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setChunkCol"]], "setfailonmissing() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setFailOnMissing"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setFailOnMissing"]], "setisarray() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setIsArray"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setIsArray"]], "setlowercase() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setLowerCase"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setLowerCase"]], "setparams() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setParams"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setParams"]], "setstartcol() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartCol"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartCol"]], "setstartcolbytokenindex() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartColByTokenIndex"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartColByTokenIndex"]], "sparknlp.base.doc2_chunk": [[199, "module-sparknlp.base.doc2_chunk"], [458, "module-sparknlp.base.doc2_chunk"]], "startcol (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.startCol"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.startCol"]], "startcolbytokenindex (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.startColByTokenIndex"], [458, "sparknlp.base.doc2_chunk.Doc2Chunk.startColByTokenIndex"]], "documentassembler (class in sparknlp.base.document_assembler)": [[200, "sparknlp.base.document_assembler.DocumentAssembler"], [459, "sparknlp.base.document_assembler.DocumentAssembler"]], "cleanupmode (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.cleanupMode"], [459, "sparknlp.base.document_assembler.DocumentAssembler.cleanupMode"]], "getoutputcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.getOutputCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.getOutputCol"]], "idcol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.idCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.idCol"]], "inputcol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.inputCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.inputCol"]], "metadatacol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.metadataCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.metadataCol"]], "name (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.name"], [459, "sparknlp.base.document_assembler.DocumentAssembler.name"]], "outputannotatortype (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.outputAnnotatorType"], [459, "sparknlp.base.document_assembler.DocumentAssembler.outputAnnotatorType"]], "outputcol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.outputCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.outputCol"]], "setcleanupmode() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setCleanupMode"], [459, "sparknlp.base.document_assembler.DocumentAssembler.setCleanupMode"]], "setidcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setIdCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.setIdCol"]], "setinputcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setInputCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.setInputCol"]], "setmetadatacol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setMetadataCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.setMetadataCol"]], "setoutputcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setOutputCol"], [459, "sparknlp.base.document_assembler.DocumentAssembler.setOutputCol"]], "setparams() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setParams"], [459, "sparknlp.base.document_assembler.DocumentAssembler.setParams"]], "sparknlp.base.document_assembler": [[200, "module-sparknlp.base.document_assembler"], [459, "module-sparknlp.base.document_assembler"]], "embeddingsfinisher (class in sparknlp.base.embeddings_finisher)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher"]], "cleanannotations (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.cleanAnnotations"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.cleanAnnotations"]], "getinputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getInputCols"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getInputCols"]], "getoutputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getOutputCols"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getOutputCols"]], "inputcols (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.inputCols"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.inputCols"]], "name (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.name"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.name"]], "outputasvector (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputAsVector"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputAsVector"]], "outputcols (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputCols"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputCols"]], "setcleanannotations() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setCleanAnnotations"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setCleanAnnotations"]], "setinputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setInputCols"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setInputCols"]], "setoutputasvector() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputAsVector"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputAsVector"]], "setoutputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputCols"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputCols"]], "setparams() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setParams"], [460, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setParams"]], "sparknlp.base.embeddings_finisher": [[201, "module-sparknlp.base.embeddings_finisher"], [460, "module-sparknlp.base.embeddings_finisher"]], "finisher (class in sparknlp.base.finisher)": [[202, "sparknlp.base.finisher.Finisher"], [461, "sparknlp.base.finisher.Finisher"]], "annotationsplitsymbol (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.annotationSplitSymbol"], [461, "sparknlp.base.finisher.Finisher.annotationSplitSymbol"]], "cleanannotations (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.cleanAnnotations"], [461, "sparknlp.base.finisher.Finisher.cleanAnnotations"]], "getinputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.getInputCols"], [461, "sparknlp.base.finisher.Finisher.getInputCols"]], "getoutputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.getOutputCols"], [461, "sparknlp.base.finisher.Finisher.getOutputCols"]], "includemetadata (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.includeMetadata"], [461, "sparknlp.base.finisher.Finisher.includeMetadata"]], "inputcols (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.inputCols"], [461, "sparknlp.base.finisher.Finisher.inputCols"]], "name (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.name"], [461, "sparknlp.base.finisher.Finisher.name"]], "outputasarray (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.outputAsArray"], [461, "sparknlp.base.finisher.Finisher.outputAsArray"]], "outputcols (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.outputCols"], [461, "sparknlp.base.finisher.Finisher.outputCols"]], "parseembeddingsvectors (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.parseEmbeddingsVectors"], [461, "sparknlp.base.finisher.Finisher.parseEmbeddingsVectors"]], "setannotationsplitsymbol() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setAnnotationSplitSymbol"], [461, "sparknlp.base.finisher.Finisher.setAnnotationSplitSymbol"]], "setcleanannotations() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setCleanAnnotations"], [461, "sparknlp.base.finisher.Finisher.setCleanAnnotations"]], "setincludemetadata() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setIncludeMetadata"], [461, "sparknlp.base.finisher.Finisher.setIncludeMetadata"]], "setinputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setInputCols"], [461, "sparknlp.base.finisher.Finisher.setInputCols"]], "setoutputasarray() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setOutputAsArray"], [461, "sparknlp.base.finisher.Finisher.setOutputAsArray"]], "setoutputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setOutputCols"], [461, "sparknlp.base.finisher.Finisher.setOutputCols"]], "setparams() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setParams"], [461, "sparknlp.base.finisher.Finisher.setParams"]], "setparseembeddingsvectors() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setParseEmbeddingsVectors"], [461, "sparknlp.base.finisher.Finisher.setParseEmbeddingsVectors"]], "setvaluesplitsymbol() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setValueSplitSymbol"], [461, "sparknlp.base.finisher.Finisher.setValueSplitSymbol"]], "sparknlp.base.finisher": [[202, "module-sparknlp.base.finisher"], [461, "module-sparknlp.base.finisher"]], "valuesplitsymbol (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.valueSplitSymbol"], [461, "sparknlp.base.finisher.Finisher.valueSplitSymbol"]], "ggufrankingfinisher (class in sparknlp.base.gguf_ranking_finisher)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher"]], "getinputcols() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getInputCols"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getInputCols"]], "getminmaxscaling() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinMaxScaling"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinMaxScaling"]], "getminrelevancescore() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinRelevanceScore"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinRelevanceScore"]], "getoutputcol() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getOutputCol"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getOutputCol"]], "gettopk() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getTopK"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getTopK"]], "inputcols (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.inputCols"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.inputCols"]], "minmaxscaling (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minMaxScaling"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minMaxScaling"]], "minrelevancescore (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minRelevanceScore"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minRelevanceScore"]], "name (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.name"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.name"]], "outputcol (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.outputCol"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.outputCol"]], "setinputcols() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setInputCols"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setInputCols"]], "setminmaxscaling() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinMaxScaling"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinMaxScaling"]], "setminrelevancescore() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinRelevanceScore"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinRelevanceScore"]], "setoutputcol() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setOutputCol"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setOutputCol"]], "setparams() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setParams"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setParams"]], "settopk() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setTopK"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setTopK"]], "sparknlp.base.gguf_ranking_finisher": [[203, "module-sparknlp.base.gguf_ranking_finisher"], [462, "module-sparknlp.base.gguf_ranking_finisher"]], "topk (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.topK"], [462, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.topK"]], "graphfinisher (class in sparknlp.base.graph_finisher)": [[204, "sparknlp.base.graph_finisher.GraphFinisher"], [463, "sparknlp.base.graph_finisher.GraphFinisher"]], "cleanannotations (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.cleanAnnotations"], [463, "sparknlp.base.graph_finisher.GraphFinisher.cleanAnnotations"]], "inputcol (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.inputCol"], [463, "sparknlp.base.graph_finisher.GraphFinisher.inputCol"]], "name (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.name"], [463, "sparknlp.base.graph_finisher.GraphFinisher.name"]], "outputasarray (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.outputAsArray"], [463, "sparknlp.base.graph_finisher.GraphFinisher.outputAsArray"]], "outputcol (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.outputCol"], [463, "sparknlp.base.graph_finisher.GraphFinisher.outputCol"]], "setcleanannotations() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setCleanAnnotations"], [463, "sparknlp.base.graph_finisher.GraphFinisher.setCleanAnnotations"]], "setinputcol() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setInputCol"], [463, "sparknlp.base.graph_finisher.GraphFinisher.setInputCol"]], "setoutputasarray() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setOutputAsArray"], [463, "sparknlp.base.graph_finisher.GraphFinisher.setOutputAsArray"]], "setoutputcol() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setOutputCol"], [463, "sparknlp.base.graph_finisher.GraphFinisher.setOutputCol"]], "setparams() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setParams"], [463, "sparknlp.base.graph_finisher.GraphFinisher.setParams"]], "sparknlp.base.graph_finisher": [[204, "module-sparknlp.base.graph_finisher"], [463, "module-sparknlp.base.graph_finisher"]], "hasrecursivefit (class in sparknlp.base.has_recursive_fit)": [[205, "sparknlp.base.has_recursive_fit.HasRecursiveFit"], [464, "sparknlp.base.has_recursive_fit.HasRecursiveFit"]], "sparknlp.base.has_recursive_fit": [[205, "module-sparknlp.base.has_recursive_fit"], [464, "module-sparknlp.base.has_recursive_fit"]], "hasrecursivetransform (class in sparknlp.base.has_recursive_transform)": [[206, "sparknlp.base.has_recursive_transform.HasRecursiveTransform"], [465, "sparknlp.base.has_recursive_transform.HasRecursiveTransform"]], "sparknlp.base.has_recursive_transform": [[206, "module-sparknlp.base.has_recursive_transform"], [465, "module-sparknlp.base.has_recursive_transform"]], "imageassembler (class in sparknlp.base.image_assembler)": [[207, "sparknlp.base.image_assembler.ImageAssembler"], [466, "sparknlp.base.image_assembler.ImageAssembler"]], "getoutputcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.getOutputCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.getOutputCol"]], "inputcol (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.inputCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.inputCol"]], "loadimagesasbytes() (imageassembler class method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.loadImagesAsBytes"], [466, "sparknlp.base.image_assembler.ImageAssembler.loadImagesAsBytes"]], "name (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.name"], [466, "sparknlp.base.image_assembler.ImageAssembler.name"]], "outputannotatortype (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.outputAnnotatorType"], [466, "sparknlp.base.image_assembler.ImageAssembler.outputAnnotatorType"]], "outputcol (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.outputCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.outputCol"]], "setinputcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setInputCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.setInputCol"]], "setoutputcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setOutputCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.setOutputCol"]], "setparams() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setParams"], [466, "sparknlp.base.image_assembler.ImageAssembler.setParams"]], "settextcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setTextCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.setTextCol"]], "sparknlp.base.image_assembler": [[207, "module-sparknlp.base.image_assembler"], [466, "module-sparknlp.base.image_assembler"]], "textcol (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.textCol"], [466, "sparknlp.base.image_assembler.ImageAssembler.textCol"]], "lightpipeline (class in sparknlp.base.light_pipeline)": [[208, "sparknlp.base.light_pipeline.LightPipeline"], [468, "sparknlp.base.light_pipeline.LightPipeline"]], "annotate() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.annotate"], [468, "sparknlp.base.light_pipeline.LightPipeline.annotate"]], "fullannotate() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotate"], [468, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotate"]], "fullannotateimage() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotateImage"], [468, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotateImage"]], "getignoreunsupported() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.getIgnoreUnsupported"], [468, "sparknlp.base.light_pipeline.LightPipeline.getIgnoreUnsupported"]], "setignoreunsupported() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.setIgnoreUnsupported"], [468, "sparknlp.base.light_pipeline.LightPipeline.setIgnoreUnsupported"]], "sparknlp.base.light_pipeline": [[208, "module-sparknlp.base.light_pipeline"], [468, "module-sparknlp.base.light_pipeline"]], "transform() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.transform"], [468, "sparknlp.base.light_pipeline.LightPipeline.transform"]], "multidocumentassembler (class in sparknlp.base.multi_document_assembler)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler"]], "cleanupmode (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.cleanupMode"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.cleanupMode"]], "getoutputcols() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.getOutputCols"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.getOutputCols"]], "idcol (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.idCol"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.idCol"]], "inputcols (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.inputCols"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.inputCols"]], "metadatacol (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.metadataCol"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.metadataCol"]], "name (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.name"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.name"]], "outputannotatortype (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputAnnotatorType"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputAnnotatorType"]], "outputcols (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputCols"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputCols"]], "setcleanupmode() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setCleanupMode"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setCleanupMode"]], "setidcol() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setIdCol"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setIdCol"]], "setinputcols() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setInputCols"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setInputCols"]], "setmetadatacol() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setMetadataCol"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setMetadataCol"]], "setoutputcols() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setOutputCols"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setOutputCols"]], "setparams() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setParams"], [469, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setParams"]], "sparknlp.base.multi_document_assembler": [[209, "module-sparknlp.base.multi_document_assembler"], [469, "module-sparknlp.base.multi_document_assembler"]], "promptassembler (class in sparknlp.base.prompt_assembler)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler"], [470, "sparknlp.base.prompt_assembler.PromptAssembler"]], "addassistant (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.addAssistant"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.addAssistant"]], "chattemplate (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.chatTemplate"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.chatTemplate"]], "inputcol (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.inputCol"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.inputCol"]], "name (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.name"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.name"]], "outputannotatortype (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.outputAnnotatorType"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.outputAnnotatorType"]], "outputcol (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.outputCol"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.outputCol"]], "setaddassistant() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setAddAssistant"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.setAddAssistant"]], "setchattemplate() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setChatTemplate"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.setChatTemplate"]], "setinputcol() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setInputCol"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.setInputCol"]], "setoutputcol() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setOutputCol"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.setOutputCol"]], "setparams() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setParams"], [470, "sparknlp.base.prompt_assembler.PromptAssembler.setParams"]], "sparknlp.base.prompt_assembler": [[210, "module-sparknlp.base.prompt_assembler"], [470, "module-sparknlp.base.prompt_assembler"]], "recursivepipeline (class in sparknlp.base.recursive_pipeline)": [[211, "sparknlp.base.recursive_pipeline.RecursivePipeline"], [471, "sparknlp.base.recursive_pipeline.RecursivePipeline"]], "recursivepipelinemodel (class in sparknlp.base.recursive_pipeline)": [[211, "sparknlp.base.recursive_pipeline.RecursivePipelineModel"], [471, "sparknlp.base.recursive_pipeline.RecursivePipelineModel"]], "sparknlp.base.recursive_pipeline": [[211, "module-sparknlp.base.recursive_pipeline"], [471, "module-sparknlp.base.recursive_pipeline"]], "tableassembler (class in sparknlp.base.table_assembler)": [[212, "sparknlp.base.table_assembler.TableAssembler"], [472, "sparknlp.base.table_assembler.TableAssembler"]], "csvdelimiter (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.csvDelimiter"], [472, "sparknlp.base.table_assembler.TableAssembler.csvDelimiter"]], "escapecsvdelimiter (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.escapeCsvDelimiter"], [472, "sparknlp.base.table_assembler.TableAssembler.escapeCsvDelimiter"]], "inputannotatortypes (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.inputAnnotatorTypes"], [472, "sparknlp.base.table_assembler.TableAssembler.inputAnnotatorTypes"]], "inputformat (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.inputFormat"], [472, "sparknlp.base.table_assembler.TableAssembler.inputFormat"]], "name (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.name"], [472, "sparknlp.base.table_assembler.TableAssembler.name"]], "outputannotatortype (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.outputAnnotatorType"], [472, "sparknlp.base.table_assembler.TableAssembler.outputAnnotatorType"]], "setcsvdelimiter() (tableassembler method)": [[212, "sparknlp.base.table_assembler.TableAssembler.setCsvDelimiter"], [472, "sparknlp.base.table_assembler.TableAssembler.setCsvDelimiter"]], "setescapecsvdelimiter() (tableassembler method)": [[212, "sparknlp.base.table_assembler.TableAssembler.setEscapeCsvDelimiter"], [472, "sparknlp.base.table_assembler.TableAssembler.setEscapeCsvDelimiter"]], "setinputformat() (tableassembler method)": [[212, "sparknlp.base.table_assembler.TableAssembler.setInputFormat"], [472, "sparknlp.base.table_assembler.TableAssembler.setInputFormat"]], "sparknlp.base.table_assembler": [[212, "module-sparknlp.base.table_assembler"], [472, "module-sparknlp.base.table_assembler"]], "tokenassembler (class in sparknlp.base.token_assembler)": [[213, "sparknlp.base.token_assembler.TokenAssembler"], [473, "sparknlp.base.token_assembler.TokenAssembler"]], "inputannotatortypes (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.inputAnnotatorTypes"], [473, "sparknlp.base.token_assembler.TokenAssembler.inputAnnotatorTypes"]], "name (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.name"], [473, "sparknlp.base.token_assembler.TokenAssembler.name"]], "outputannotatortype (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.outputAnnotatorType"], [473, "sparknlp.base.token_assembler.TokenAssembler.outputAnnotatorType"]], "preserveposition (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.preservePosition"], [473, "sparknlp.base.token_assembler.TokenAssembler.preservePosition"]], "setparams() (tokenassembler method)": [[213, "sparknlp.base.token_assembler.TokenAssembler.setParams"], [473, "sparknlp.base.token_assembler.TokenAssembler.setParams"]], "setpreserveposition() (tokenassembler method)": [[213, "sparknlp.base.token_assembler.TokenAssembler.setPreservePosition"], [473, "sparknlp.base.token_assembler.TokenAssembler.setPreservePosition"]], "sparknlp.base.token_assembler": [[213, "module-sparknlp.base.token_assembler"], [473, "module-sparknlp.base.token_assembler"]], "sparknlp.common": [[214, "module-sparknlp.common"], [479, "module-sparknlp.common"]], "annotatorapproach (class in sparknlp.common.annotator_approach)": [[215, "sparknlp.common.annotator_approach.AnnotatorApproach"], [474, "sparknlp.common.annotator_approach.AnnotatorApproach"]], "sparknlp.common.annotator_approach": [[215, "module-sparknlp.common.annotator_approach"], [474, "module-sparknlp.common.annotator_approach"]], "annotatormodel (class in sparknlp.common.annotator_model)": [[216, "sparknlp.common.annotator_model.AnnotatorModel"], [475, "sparknlp.common.annotator_model.AnnotatorModel"]], "setparams() (annotatormodel method)": [[216, "sparknlp.common.annotator_model.AnnotatorModel.setParams"], [475, "sparknlp.common.annotator_model.AnnotatorModel.setParams"]], "sparknlp.common.annotator_model": [[216, "module-sparknlp.common.annotator_model"], [475, "module-sparknlp.common.annotator_model"]], "annotatorproperties (class in sparknlp.common.annotator_properties)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties"]], "getinputcols() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.getInputCols"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.getInputCols"]], "getlazyannotator() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.getLazyAnnotator"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.getLazyAnnotator"]], "getoutputcol() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.getOutputCol"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.getOutputCol"]], "inputannotatortypes (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.inputAnnotatorTypes"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.inputAnnotatorTypes"]], "inputcols (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.inputCols"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.inputCols"]], "inputcolsvalidation() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.inputColsValidation"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.inputColsValidation"]], "lazyannotator (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.lazyAnnotator"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.lazyAnnotator"]], "optionalinputannotatortypes (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.optionalInputAnnotatorTypes"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.optionalInputAnnotatorTypes"]], "outputannotatortype (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.outputAnnotatorType"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.outputAnnotatorType"]], "outputcol (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.outputCol"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.outputCol"]], "setinputcols() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.setInputCols"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.setInputCols"]], "setlazyannotator() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.setLazyAnnotator"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.setLazyAnnotator"]], "setoutputcol() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.setOutputCol"], [476, "sparknlp.common.annotator_properties.AnnotatorProperties.setOutputCol"]], "sparknlp.common.annotator_properties": [[217, "module-sparknlp.common.annotator_properties"], [476, "module-sparknlp.common.annotator_properties"]], "audio (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.AUDIO"], [477, "sparknlp.common.annotator_type.AnnotatorType.AUDIO"]], "annotatortype (class in sparknlp.common.annotator_type)": [[218, "sparknlp.common.annotator_type.AnnotatorType"], [477, "sparknlp.common.annotator_type.AnnotatorType"]], "category (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.CATEGORY"], [477, "sparknlp.common.annotator_type.AnnotatorType.CATEGORY"]], "chunk (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.CHUNK"], [477, "sparknlp.common.annotator_type.AnnotatorType.CHUNK"]], "date (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DATE"], [477, "sparknlp.common.annotator_type.AnnotatorType.DATE"]], "dependency (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DEPENDENCY"], [477, "sparknlp.common.annotator_type.AnnotatorType.DEPENDENCY"]], "document (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DOCUMENT"], [477, "sparknlp.common.annotator_type.AnnotatorType.DOCUMENT"]], "doc_similarity_rankings (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DOC_SIMILARITY_RANKINGS"], [477, "sparknlp.common.annotator_type.AnnotatorType.DOC_SIMILARITY_RANKINGS"]], "dummy (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DUMMY"], [477, "sparknlp.common.annotator_type.AnnotatorType.DUMMY"]], "entity (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.ENTITY"], [477, "sparknlp.common.annotator_type.AnnotatorType.ENTITY"]], "image (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.IMAGE"], [477, "sparknlp.common.annotator_type.AnnotatorType.IMAGE"]], "labeled_dependency (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.LABELED_DEPENDENCY"], [477, "sparknlp.common.annotator_type.AnnotatorType.LABELED_DEPENDENCY"]], "language (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.LANGUAGE"], [477, "sparknlp.common.annotator_type.AnnotatorType.LANGUAGE"]], "named_entity (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.NAMED_ENTITY"], [477, "sparknlp.common.annotator_type.AnnotatorType.NAMED_ENTITY"]], "negex (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.NEGEX"], [477, "sparknlp.common.annotator_type.AnnotatorType.NEGEX"]], "node (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.NODE"], [477, "sparknlp.common.annotator_type.AnnotatorType.NODE"]], "pos (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.POS"], [477, "sparknlp.common.annotator_type.AnnotatorType.POS"]], "sentence_embeddings (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.SENTENCE_EMBEDDINGS"], [477, "sparknlp.common.annotator_type.AnnotatorType.SENTENCE_EMBEDDINGS"]], "sentiment (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.SENTIMENT"], [477, "sparknlp.common.annotator_type.AnnotatorType.SENTIMENT"]], "table (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.TABLE"], [477, "sparknlp.common.annotator_type.AnnotatorType.TABLE"]], "token (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.TOKEN"], [477, "sparknlp.common.annotator_type.AnnotatorType.TOKEN"]], "wordpiece (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.WORDPIECE"], [477, "sparknlp.common.annotator_type.AnnotatorType.WORDPIECE"]], "word_embeddings (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.WORD_EMBEDDINGS"], [477, "sparknlp.common.annotator_type.AnnotatorType.WORD_EMBEDDINGS"]], "sparknlp.common.annotator_type": [[218, "module-sparknlp.common.annotator_type"], [477, "module-sparknlp.common.annotator_type"]], "coverageresult (class in sparknlp.common.coverage_result)": [[219, "sparknlp.common.coverage_result.CoverageResult"], [478, "sparknlp.common.coverage_result.CoverageResult"]], "sparknlp.common.coverage_result": [[219, "module-sparknlp.common.coverage_result"], [478, "module-sparknlp.common.coverage_result"]], "match_all (matchstrategy attribute)": [[220, "sparknlp.common.match_strategy.MatchStrategy.MATCH_ALL"], [480, "sparknlp.common.match_strategy.MatchStrategy.MATCH_ALL"]], "match_complete (matchstrategy attribute)": [[220, "sparknlp.common.match_strategy.MatchStrategy.MATCH_COMPLETE"], [480, "sparknlp.common.match_strategy.MatchStrategy.MATCH_COMPLETE"]], "match_first (matchstrategy attribute)": [[220, "sparknlp.common.match_strategy.MatchStrategy.MATCH_FIRST"], [480, "sparknlp.common.match_strategy.MatchStrategy.MATCH_FIRST"]], "matchstrategy (class in sparknlp.common.match_strategy)": [[220, "sparknlp.common.match_strategy.MatchStrategy"], [480, "sparknlp.common.match_strategy.MatchStrategy"]], "sparknlp.common.match_strategy": [[220, "module-sparknlp.common.match_strategy"], [480, "module-sparknlp.common.match_strategy"]], "hasaudiofeatureproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties"], [481, "sparknlp.common.properties.HasAudioFeatureProperties"]], "hasbatchedannotate (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasBatchedAnnotate"], [481, "sparknlp.common.properties.HasBatchedAnnotate"]], "hasbatchedannotateaudio (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasBatchedAnnotateAudio"], [481, "sparknlp.common.properties.HasBatchedAnnotateAudio"]], "hasbatchedannotateimage (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasBatchedAnnotateImage"], [481, "sparknlp.common.properties.HasBatchedAnnotateImage"]], "hascandidatelabelsproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties"]], "hascasesensitiveproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasCaseSensitiveProperties"], [481, "sparknlp.common.properties.HasCaseSensitiveProperties"]], "hasclassifieractivationproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties"], [481, "sparknlp.common.properties.HasClassifierActivationProperties"]], "hasclstokenproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasClsTokenProperties"], [481, "sparknlp.common.properties.HasClsTokenProperties"]], "hasembeddingsproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasEmbeddingsProperties"], [481, "sparknlp.common.properties.HasEmbeddingsProperties"]], "hasenablecachingproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasEnableCachingProperties"], [481, "sparknlp.common.properties.HasEnableCachingProperties"]], "hasengine (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasEngine"], [481, "sparknlp.common.properties.HasEngine"]], "hasgeneratorproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasGeneratorProperties"], [481, "sparknlp.common.properties.HasGeneratorProperties"]], "hasimagefeatureproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasImageFeatureProperties"], [481, "sparknlp.common.properties.HasImageFeatureProperties"]], "hasllamacppproperties (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasLlamaCppProperties"], [481, "sparknlp.common.properties.HasLlamaCppProperties"]], "haslongmaxsentencelengthlimit (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit"], [481, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit"]], "hasmaxsentencelengthlimit (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasMaxSentenceLengthLimit"], [481, "sparknlp.common.properties.HasMaxSentenceLengthLimit"]], "hasrescalefactor (class in sparknlp.common.properties)": [[221, "sparknlp.common.properties.HasRescaleFactor"], [481, "sparknlp.common.properties.HasRescaleFactor"]], "activation (hasclassifieractivationproperties attribute)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.activation"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.activation"]], "batchsize (hasbatchedannotate attribute)": [[221, "sparknlp.common.properties.HasBatchedAnnotate.batchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotate.batchSize"]], "batchsize (hasbatchedannotateaudio attribute)": [[221, "sparknlp.common.properties.HasBatchedAnnotateAudio.batchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotateAudio.batchSize"]], "batchsize (hasbatchedannotateimage attribute)": [[221, "sparknlp.common.properties.HasBatchedAnnotateImage.batchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotateImage.batchSize"]], "beamsize (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.beamSize"], [481, "sparknlp.common.properties.HasGeneratorProperties.beamSize"]], "cacheprompt (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.cachePrompt"], [481, "sparknlp.common.properties.HasLlamaCppProperties.cachePrompt"]], "candidatelabels (hascandidatelabelsproperties attribute)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties.candidateLabels"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties.candidateLabels"]], "casesensitive (hascasesensitiveproperties attribute)": [[221, "sparknlp.common.properties.HasCaseSensitiveProperties.caseSensitive"], [481, "sparknlp.common.properties.HasCaseSensitiveProperties.caseSensitive"]], "chattemplate (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.chatTemplate"], [481, "sparknlp.common.properties.HasLlamaCppProperties.chatTemplate"]], "contradictionidparam (hascandidatelabelsproperties attribute)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties.contradictionIdParam"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties.contradictionIdParam"]], "defragmentationthreshold (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.defragmentationThreshold"], [481, "sparknlp.common.properties.HasLlamaCppProperties.defragmentationThreshold"]], "dimension (hasembeddingsproperties attribute)": [[221, "sparknlp.common.properties.HasEmbeddingsProperties.dimension"], [481, "sparknlp.common.properties.HasEmbeddingsProperties.dimension"]], "disablelog (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.disableLog"], [481, "sparknlp.common.properties.HasLlamaCppProperties.disableLog"]], "disabletokenids (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.disableTokenIds"], [481, "sparknlp.common.properties.HasLlamaCppProperties.disableTokenIds"]], "donormalize (hasaudiofeatureproperties attribute)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.doNormalize"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.doNormalize"]], "donormalize (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.doNormalize"], [481, "sparknlp.common.properties.HasImageFeatureProperties.doNormalize"]], "dorescale (hasrescalefactor attribute)": [[221, "sparknlp.common.properties.HasRescaleFactor.doRescale"], [481, "sparknlp.common.properties.HasRescaleFactor.doRescale"]], "doresize (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.doResize"], [481, "sparknlp.common.properties.HasImageFeatureProperties.doResize"]], "dosample (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.doSample"], [481, "sparknlp.common.properties.HasGeneratorProperties.doSample"]], "dynamictemperatureexponent (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureExponent"], [481, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureExponent"]], "dynamictemperaturerange (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureRange"], [481, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureRange"]], "embedding (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.embedding"], [481, "sparknlp.common.properties.HasLlamaCppProperties.embedding"]], "enablecaching (hasenablecachingproperties attribute)": [[221, "sparknlp.common.properties.HasEnableCachingProperties.enableCaching"], [481, "sparknlp.common.properties.HasEnableCachingProperties.enableCaching"]], "engine (hasengine attribute)": [[221, "sparknlp.common.properties.HasEngine.engine"], [481, "sparknlp.common.properties.HasEngine.engine"]], "entailmentidparam (hascandidatelabelsproperties attribute)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties.entailmentIdParam"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties.entailmentIdParam"]], "featureextractortype (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.featureExtractorType"], [481, "sparknlp.common.properties.HasImageFeatureProperties.featureExtractorType"]], "featuresize (hasaudiofeatureproperties attribute)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.featureSize"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.featureSize"]], "flashattention (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.flashAttention"], [481, "sparknlp.common.properties.HasLlamaCppProperties.flashAttention"]], "frequencypenalty (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.frequencyPenalty"], [481, "sparknlp.common.properties.HasLlamaCppProperties.frequencyPenalty"]], "getactivation() (hasclassifieractivationproperties method)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.getActivation"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.getActivation"]], "getbatchsize() (hasbatchedannotate method)": [[221, "sparknlp.common.properties.HasBatchedAnnotate.getBatchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotate.getBatchSize"]], "getbatchsize() (hasbatchedannotateaudio method)": [[221, "sparknlp.common.properties.HasBatchedAnnotateAudio.getBatchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotateAudio.getBatchSize"]], "getbatchsize() (hasbatchedannotateimage method)": [[221, "sparknlp.common.properties.HasBatchedAnnotateImage.getBatchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotateImage.getBatchSize"]], "getcasesensitive() (hascasesensitiveproperties method)": [[221, "sparknlp.common.properties.HasCaseSensitiveProperties.getCaseSensitive"], [481, "sparknlp.common.properties.HasCaseSensitiveProperties.getCaseSensitive"]], "getdimension() (hasembeddingsproperties method)": [[221, "sparknlp.common.properties.HasEmbeddingsProperties.getDimension"], [481, "sparknlp.common.properties.HasEmbeddingsProperties.getDimension"]], "getenablecaching() (hasenablecachingproperties method)": [[221, "sparknlp.common.properties.HasEnableCachingProperties.getEnableCaching"], [481, "sparknlp.common.properties.HasEnableCachingProperties.getEnableCaching"]], "getengine() (hasengine method)": [[221, "sparknlp.common.properties.HasEngine.getEngine"], [481, "sparknlp.common.properties.HasEngine.getEngine"]], "getmaxsentencelength() (hasmaxsentencelengthlimit method)": [[221, "sparknlp.common.properties.HasMaxSentenceLengthLimit.getMaxSentenceLength"], [481, "sparknlp.common.properties.HasMaxSentenceLengthLimit.getMaxSentenceLength"]], "getmetadata() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.getMetadata"], [481, "sparknlp.common.properties.HasLlamaCppProperties.getMetadata"]], "getmultilabel() (hasclassifieractivationproperties method)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.getMultilabel"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.getMultilabel"]], "getuseclstoken() (hasclstokenproperties method)": [[221, "sparknlp.common.properties.HasClsTokenProperties.getUseCLSToken"], [481, "sparknlp.common.properties.HasClsTokenProperties.getUseCLSToken"]], "gpusplitmode (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.gpuSplitMode"], [481, "sparknlp.common.properties.HasLlamaCppProperties.gpuSplitMode"]], "grammar (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.grammar"], [481, "sparknlp.common.properties.HasLlamaCppProperties.grammar"]], "ignoreeos (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.ignoreEos"], [481, "sparknlp.common.properties.HasLlamaCppProperties.ignoreEos"]], "imagemean (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.imageMean"], [481, "sparknlp.common.properties.HasImageFeatureProperties.imageMean"]], "imagestd (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.imageStd"], [481, "sparknlp.common.properties.HasImageFeatureProperties.imageStd"]], "inputprefix (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.inputPrefix"], [481, "sparknlp.common.properties.HasLlamaCppProperties.inputPrefix"]], "inputsuffix (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.inputSuffix"], [481, "sparknlp.common.properties.HasLlamaCppProperties.inputSuffix"]], "logverbosity (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.logVerbosity"], [481, "sparknlp.common.properties.HasLlamaCppProperties.logVerbosity"]], "maingpu (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.mainGpu"], [481, "sparknlp.common.properties.HasLlamaCppProperties.mainGpu"]], "maxoutputlength (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.maxOutputLength"], [481, "sparknlp.common.properties.HasGeneratorProperties.maxOutputLength"]], "maxsentencelength (hasmaxsentencelengthlimit attribute)": [[221, "sparknlp.common.properties.HasMaxSentenceLengthLimit.maxSentenceLength"], [481, "sparknlp.common.properties.HasMaxSentenceLengthLimit.maxSentenceLength"]], "max_length_limit (haslongmaxsentencelengthlimit attribute)": [[221, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit.max_length_limit"], [481, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit.max_length_limit"]], "max_length_limit (hasmaxsentencelengthlimit attribute)": [[221, "sparknlp.common.properties.HasMaxSentenceLengthLimit.max_length_limit"], [481, "sparknlp.common.properties.HasMaxSentenceLengthLimit.max_length_limit"]], "minkeep (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.minKeep"], [481, "sparknlp.common.properties.HasLlamaCppProperties.minKeep"]], "minoutputlength (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.minOutputLength"], [481, "sparknlp.common.properties.HasGeneratorProperties.minOutputLength"]], "minp (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.minP"], [481, "sparknlp.common.properties.HasLlamaCppProperties.minP"]], "mirostat (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.miroStat"], [481, "sparknlp.common.properties.HasLlamaCppProperties.miroStat"]], "mirostateta (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.miroStatEta"], [481, "sparknlp.common.properties.HasLlamaCppProperties.miroStatEta"]], "mirostattau (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.miroStatTau"], [481, "sparknlp.common.properties.HasLlamaCppProperties.miroStatTau"]], "modelalias (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.modelAlias"], [481, "sparknlp.common.properties.HasLlamaCppProperties.modelAlias"]], "modeldraft (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.modelDraft"], [481, "sparknlp.common.properties.HasLlamaCppProperties.modelDraft"]], "multilabel (hasclassifieractivationproperties attribute)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.multilabel"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.multilabel"]], "nbatch (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nBatch"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nBatch"]], "nctx (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nCtx"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nCtx"]], "ndraft (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nDraft"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nDraft"]], "ngpulayers (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayers"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayers"]], "ngpulayersdraft (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayersDraft"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayersDraft"]], "nkeep (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nKeep"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nKeep"]], "npredict (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nPredict"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nPredict"]], "nprobs (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nProbs"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nProbs"]], "nreturnsequences (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.nReturnSequences"], [481, "sparknlp.common.properties.HasGeneratorProperties.nReturnSequences"]], "nthreads (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nThreads"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nThreads"]], "nthreadsbatch (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nThreadsBatch"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nThreadsBatch"]], "nubatch (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.nUbatch"], [481, "sparknlp.common.properties.HasLlamaCppProperties.nUbatch"]], "nokvoffload (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.noKvOffload"], [481, "sparknlp.common.properties.HasLlamaCppProperties.noKvOffload"]], "norepeatngramsize (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.noRepeatNgramSize"], [481, "sparknlp.common.properties.HasGeneratorProperties.noRepeatNgramSize"]], "numastrategy (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.numaStrategy"], [481, "sparknlp.common.properties.HasLlamaCppProperties.numaStrategy"]], "paddingside (hasaudiofeatureproperties attribute)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.paddingSide"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.paddingSide"]], "paddingvalue (hasaudiofeatureproperties attribute)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.paddingValue"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.paddingValue"]], "penalizenl (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.penalizeNl"], [481, "sparknlp.common.properties.HasLlamaCppProperties.penalizeNl"]], "penaltyprompt (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.penaltyPrompt"], [481, "sparknlp.common.properties.HasLlamaCppProperties.penaltyPrompt"]], "poolingtype (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.poolingType"], [481, "sparknlp.common.properties.HasLlamaCppProperties.poolingType"]], "presencepenalty (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.presencePenalty"], [481, "sparknlp.common.properties.HasLlamaCppProperties.presencePenalty"]], "repeatlastn (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.repeatLastN"], [481, "sparknlp.common.properties.HasLlamaCppProperties.repeatLastN"]], "repeatpenalty (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.repeatPenalty"], [481, "sparknlp.common.properties.HasLlamaCppProperties.repeatPenalty"]], "repetitionpenalty (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.repetitionPenalty"], [481, "sparknlp.common.properties.HasGeneratorProperties.repetitionPenalty"]], "resample (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.resample"], [481, "sparknlp.common.properties.HasImageFeatureProperties.resample"]], "rescalefactor (hasrescalefactor attribute)": [[221, "sparknlp.common.properties.HasRescaleFactor.rescaleFactor"], [481, "sparknlp.common.properties.HasRescaleFactor.rescaleFactor"]], "returnattentionmask (hasaudiofeatureproperties attribute)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.returnAttentionMask"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.returnAttentionMask"]], "ropefreqbase (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqBase"], [481, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqBase"]], "ropefreqscale (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqScale"], [481, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqScale"]], "ropescalingtype (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.ropeScalingType"], [481, "sparknlp.common.properties.HasLlamaCppProperties.ropeScalingType"]], "samplers (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.samplers"], [481, "sparknlp.common.properties.HasLlamaCppProperties.samplers"]], "samplingrate (hasaudiofeatureproperties attribute)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.samplingRate"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.samplingRate"]], "seed (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.seed"], [481, "sparknlp.common.properties.HasLlamaCppProperties.seed"]], "setactivation() (hasclassifieractivationproperties method)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.setActivation"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.setActivation"]], "setbatchsize() (hasbatchedannotate method)": [[221, "sparknlp.common.properties.HasBatchedAnnotate.setBatchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotate.setBatchSize"]], "setbatchsize() (hasbatchedannotateaudio method)": [[221, "sparknlp.common.properties.HasBatchedAnnotateAudio.setBatchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotateAudio.setBatchSize"]], "setbatchsize() (hasbatchedannotateimage method)": [[221, "sparknlp.common.properties.HasBatchedAnnotateImage.setBatchSize"], [481, "sparknlp.common.properties.HasBatchedAnnotateImage.setBatchSize"]], "setbeamsize() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setBeamSize"], [481, "sparknlp.common.properties.HasGeneratorProperties.setBeamSize"]], "setcacheprompt() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setCachePrompt"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setCachePrompt"]], "setcandidatelabels() (hascandidatelabelsproperties method)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties.setCandidateLabels"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties.setCandidateLabels"]], "setcasesensitive() (hascasesensitiveproperties method)": [[221, "sparknlp.common.properties.HasCaseSensitiveProperties.setCaseSensitive"], [481, "sparknlp.common.properties.HasCaseSensitiveProperties.setCaseSensitive"]], "setchattemplate() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setChatTemplate"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setChatTemplate"]], "setcontradictionidparam() (hascandidatelabelsproperties method)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties.setContradictionIdParam"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties.setContradictionIdParam"]], "setdefragmentationthreshold() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setDefragmentationThreshold"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setDefragmentationThreshold"]], "setdimension() (hasembeddingsproperties method)": [[221, "sparknlp.common.properties.HasEmbeddingsProperties.setDimension"], [481, "sparknlp.common.properties.HasEmbeddingsProperties.setDimension"]], "setdisablelog() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setDisableLog"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setDisableLog"]], "setdisabletokenids() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setDisableTokenIds"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setDisableTokenIds"]], "setdonormalize() (hasaudiofeatureproperties method)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.setDoNormalize"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.setDoNormalize"]], "setdonormalize() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setDoNormalize"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setDoNormalize"]], "setdorescale() (hasrescalefactor method)": [[221, "sparknlp.common.properties.HasRescaleFactor.setDoRescale"], [481, "sparknlp.common.properties.HasRescaleFactor.setDoRescale"]], "setdoresize() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setDoResize"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setDoResize"]], "setdosample() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setDoSample"], [481, "sparknlp.common.properties.HasGeneratorProperties.setDoSample"]], "setdynamictemperatureexponent() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureExponent"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureExponent"]], "setdynamictemperaturerange() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureRange"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureRange"]], "setenablecaching() (hasenablecachingproperties method)": [[221, "sparknlp.common.properties.HasEnableCachingProperties.setEnableCaching"], [481, "sparknlp.common.properties.HasEnableCachingProperties.setEnableCaching"]], "setentailmentidparam() (hascandidatelabelsproperties method)": [[221, "sparknlp.common.properties.HasCandidateLabelsProperties.setEntailmentIdParam"], [481, "sparknlp.common.properties.HasCandidateLabelsProperties.setEntailmentIdParam"]], "setfeatureextractortype() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setFeatureExtractorType"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setFeatureExtractorType"]], "setfeaturesize() (hasaudiofeatureproperties method)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.setFeatureSize"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.setFeatureSize"]], "setflashattention() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setFlashAttention"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setFlashAttention"]], "setfrequencypenalty() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setFrequencyPenalty"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setFrequencyPenalty"]], "setgpusplitmode() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setGpuSplitMode"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setGpuSplitMode"]], "setgrammar() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setGrammar"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setGrammar"]], "setignoreeos() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setIgnoreEos"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setIgnoreEos"]], "setimagemean() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setImageMean"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setImageMean"]], "setimagestd() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setImageStd"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setImageStd"]], "setinputprefix() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setInputPrefix"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setInputPrefix"]], "setinputsuffix() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setInputSuffix"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setInputSuffix"]], "setlogverbosity() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setLogVerbosity"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setLogVerbosity"]], "setmaingpu() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setMainGpu"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setMainGpu"]], "setmaxoutputlength() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setMaxOutputLength"], [481, "sparknlp.common.properties.HasGeneratorProperties.setMaxOutputLength"]], "setmaxsentencelength() (hasmaxsentencelengthlimit method)": [[221, "sparknlp.common.properties.HasMaxSentenceLengthLimit.setMaxSentenceLength"], [481, "sparknlp.common.properties.HasMaxSentenceLengthLimit.setMaxSentenceLength"]], "setminkeep() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setMinKeep"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setMinKeep"]], "setminoutputlength() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setMinOutputLength"], [481, "sparknlp.common.properties.HasGeneratorProperties.setMinOutputLength"]], "setminp() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setMinP"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setMinP"]], "setmirostat() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStat"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStat"]], "setmirostateta() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatEta"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatEta"]], "setmirostattau() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatTau"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatTau"]], "setmodelalias() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setModelAlias"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setModelAlias"]], "setmodeldraft() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setModelDraft"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setModelDraft"]], "setmultilabel() (hasclassifieractivationproperties method)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.setMultilabel"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.setMultilabel"]], "setnbatch() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNBatch"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNBatch"]], "setnctx() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNCtx"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNCtx"]], "setndraft() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNDraft"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNDraft"]], "setngpulayers() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayers"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayers"]], "setngpulayersdraft() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayersDraft"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayersDraft"]], "setnkeep() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNKeep"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNKeep"]], "setnparallel() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNParallel"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNParallel"]], "setnpredict() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNPredict"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNPredict"]], "setnprobs() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNProbs"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNProbs"]], "setnreturnsequences() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setNReturnSequences"], [481, "sparknlp.common.properties.HasGeneratorProperties.setNReturnSequences"]], "setnthreads() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNThreads"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNThreads"]], "setnthreadsbatch() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNThreadsBatch"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNThreadsBatch"]], "setnubatch() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNUbatch"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNUbatch"]], "setnokvoffload() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNoKvOffload"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNoKvOffload"]], "setnorepeatngramsize() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setNoRepeatNgramSize"], [481, "sparknlp.common.properties.HasGeneratorProperties.setNoRepeatNgramSize"]], "setnumastrategy() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setNumaStrategy"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setNumaStrategy"]], "setpaddingside() (hasaudiofeatureproperties method)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingSide"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingSide"]], "setpaddingvalue() (hasaudiofeatureproperties method)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingValue"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingValue"]], "setpenalizenl() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setPenalizeNl"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setPenalizeNl"]], "setpenaltyprompt() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setPenaltyPrompt"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setPenaltyPrompt"]], "setpoolingtype() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setPoolingType"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setPoolingType"]], "setpresencepenalty() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setPresencePenalty"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setPresencePenalty"]], "setrepeatlastn() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatLastN"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatLastN"]], "setrepeatpenalty() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatPenalty"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatPenalty"]], "setrepetitionpenalty() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setRepetitionPenalty"], [481, "sparknlp.common.properties.HasGeneratorProperties.setRepetitionPenalty"]], "setresample() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setResample"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setResample"]], "setrescalefactor() (hasrescalefactor method)": [[221, "sparknlp.common.properties.HasRescaleFactor.setRescaleFactor"], [481, "sparknlp.common.properties.HasRescaleFactor.setRescaleFactor"]], "setreturnattentionmask() (hasaudiofeatureproperties method)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.setReturnAttentionMask"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.setReturnAttentionMask"]], "setropefreqbase() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqBase"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqBase"]], "setropefreqscale() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqScale"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqScale"]], "setropescalingtype() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setRopeScalingType"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setRopeScalingType"]], "setsamplers() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setSamplers"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setSamplers"]], "setsamplingrate() (hasaudiofeatureproperties method)": [[221, "sparknlp.common.properties.HasAudioFeatureProperties.setSamplingRate"], [481, "sparknlp.common.properties.HasAudioFeatureProperties.setSamplingRate"]], "setseed() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setSeed"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setSeed"]], "setsize() (hasimagefeatureproperties method)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.setSize"], [481, "sparknlp.common.properties.HasImageFeatureProperties.setSize"]], "setstopstrings() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setStopStrings"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setStopStrings"]], "setsystemprompt() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setSystemPrompt"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setSystemPrompt"]], "settask() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setTask"], [481, "sparknlp.common.properties.HasGeneratorProperties.setTask"]], "settemperature() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setTemperature"], [481, "sparknlp.common.properties.HasGeneratorProperties.setTemperature"]], "settemperature() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTemperature"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTemperature"]], "settfsz() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTfsZ"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTfsZ"]], "setthreshold() (hasclassifieractivationproperties method)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.setThreshold"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.setThreshold"]], "settokenbias() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTokenBias"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTokenBias"]], "settokenidbias() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTokenIdBias"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTokenIdBias"]], "settopk() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setTopK"], [481, "sparknlp.common.properties.HasGeneratorProperties.setTopK"]], "settopk() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTopK"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTopK"]], "settopp() (hasgeneratorproperties method)": [[221, "sparknlp.common.properties.HasGeneratorProperties.setTopP"], [481, "sparknlp.common.properties.HasGeneratorProperties.setTopP"]], "settopp() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTopP"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTopP"]], "settypicalp() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setTypicalP"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setTypicalP"]], "setuseclstoken() (hasclstokenproperties method)": [[221, "sparknlp.common.properties.HasClsTokenProperties.setUseCLSToken"], [481, "sparknlp.common.properties.HasClsTokenProperties.setUseCLSToken"]], "setusechattemplate() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setUseChatTemplate"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setUseChatTemplate"]], "setusemlock() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setUseMlock"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setUseMlock"]], "setusemmap() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setUseMmap"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setUseMmap"]], "setyarnattnfactor() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setYarnAttnFactor"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setYarnAttnFactor"]], "setyarnbetafast() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaFast"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaFast"]], "setyarnbetaslow() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaSlow"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaSlow"]], "setyarnextfactor() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setYarnExtFactor"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setYarnExtFactor"]], "setyarnorigctx() (hasllamacppproperties method)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.setYarnOrigCtx"], [481, "sparknlp.common.properties.HasLlamaCppProperties.setYarnOrigCtx"]], "size (hasimagefeatureproperties attribute)": [[221, "sparknlp.common.properties.HasImageFeatureProperties.size"], [481, "sparknlp.common.properties.HasImageFeatureProperties.size"]], "sparknlp.common.properties": [[221, "module-sparknlp.common.properties"], [481, "module-sparknlp.common.properties"]], "stopstrings (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.stopStrings"], [481, "sparknlp.common.properties.HasLlamaCppProperties.stopStrings"]], "systemprompt (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.systemPrompt"], [481, "sparknlp.common.properties.HasLlamaCppProperties.systemPrompt"]], "task (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.task"], [481, "sparknlp.common.properties.HasGeneratorProperties.task"]], "temperature (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.temperature"], [481, "sparknlp.common.properties.HasGeneratorProperties.temperature"]], "temperature (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.temperature"], [481, "sparknlp.common.properties.HasLlamaCppProperties.temperature"]], "tfsz (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.tfsZ"], [481, "sparknlp.common.properties.HasLlamaCppProperties.tfsZ"]], "threshold (hasclassifieractivationproperties attribute)": [[221, "sparknlp.common.properties.HasClassifierActivationProperties.threshold"], [481, "sparknlp.common.properties.HasClassifierActivationProperties.threshold"]], "topk (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.topK"], [481, "sparknlp.common.properties.HasGeneratorProperties.topK"]], "topk (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.topK"], [481, "sparknlp.common.properties.HasLlamaCppProperties.topK"]], "topp (hasgeneratorproperties attribute)": [[221, "sparknlp.common.properties.HasGeneratorProperties.topP"], [481, "sparknlp.common.properties.HasGeneratorProperties.topP"]], "topp (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.topP"], [481, "sparknlp.common.properties.HasLlamaCppProperties.topP"]], "typicalp (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.typicalP"], [481, "sparknlp.common.properties.HasLlamaCppProperties.typicalP"]], "useclstoken (hasclstokenproperties attribute)": [[221, "sparknlp.common.properties.HasClsTokenProperties.useCLSToken"], [481, "sparknlp.common.properties.HasClsTokenProperties.useCLSToken"]], "usechattemplate (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.useChatTemplate"], [481, "sparknlp.common.properties.HasLlamaCppProperties.useChatTemplate"]], "usemlock (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.useMlock"], [481, "sparknlp.common.properties.HasLlamaCppProperties.useMlock"]], "usemmap (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.useMmap"], [481, "sparknlp.common.properties.HasLlamaCppProperties.useMmap"]], "yarnattnfactor (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.yarnAttnFactor"], [481, "sparknlp.common.properties.HasLlamaCppProperties.yarnAttnFactor"]], "yarnbetafast (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaFast"], [481, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaFast"]], "yarnbetaslow (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaSlow"], [481, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaSlow"]], "yarnextfactor (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.yarnExtFactor"], [481, "sparknlp.common.properties.HasLlamaCppProperties.yarnExtFactor"]], "yarnorigctx (hasllamacppproperties attribute)": [[221, "sparknlp.common.properties.HasLlamaCppProperties.yarnOrigCtx"], [481, "sparknlp.common.properties.HasLlamaCppProperties.yarnOrigCtx"]], "binary (readas attribute)": [[222, "sparknlp.common.read_as.ReadAs.BINARY"], [482, "sparknlp.common.read_as.ReadAs.BINARY"]], "readas (class in sparknlp.common.read_as)": [[222, "sparknlp.common.read_as.ReadAs"], [482, "sparknlp.common.read_as.ReadAs"]], "spark (readas attribute)": [[222, "sparknlp.common.read_as.ReadAs.SPARK"], [482, "sparknlp.common.read_as.ReadAs.SPARK"]], "text (readas attribute)": [[222, "sparknlp.common.read_as.ReadAs.TEXT"], [482, "sparknlp.common.read_as.ReadAs.TEXT"]], "sparknlp.common.read_as": [[222, "module-sparknlp.common.read_as"], [482, "module-sparknlp.common.read_as"]], "recursiveannotatorapproach (class in sparknlp.common.recursive_annotator_approach)": [[223, "sparknlp.common.recursive_annotator_approach.RecursiveAnnotatorApproach"], [483, "sparknlp.common.recursive_annotator_approach.RecursiveAnnotatorApproach"]], "sparknlp.common.recursive_annotator_approach": [[223, "module-sparknlp.common.recursive_annotator_approach"], [483, "module-sparknlp.common.recursive_annotator_approach"]], "hasstorage (class in sparknlp.common.storage)": [[224, "sparknlp.common.storage.HasStorage"], [484, "sparknlp.common.storage.HasStorage"]], "hasstoragemodel (class in sparknlp.common.storage)": [[224, "sparknlp.common.storage.HasStorageModel"], [484, "sparknlp.common.storage.HasStorageModel"]], "hasstorageoptions (class in sparknlp.common.storage)": [[224, "sparknlp.common.storage.HasStorageOptions"], [484, "sparknlp.common.storage.HasStorageOptions"]], "hasstorageref (class in sparknlp.common.storage)": [[224, "sparknlp.common.storage.HasStorageRef"], [484, "sparknlp.common.storage.HasStorageRef"]], "enableinmemorystorage (hasstorageoptions attribute)": [[224, "sparknlp.common.storage.HasStorageOptions.enableInMemoryStorage"], [484, "sparknlp.common.storage.HasStorageOptions.enableInMemoryStorage"]], "getenableinmemorystorage() (hasstorageoptions method)": [[224, "sparknlp.common.storage.HasStorageOptions.getEnableInMemoryStorage"], [484, "sparknlp.common.storage.HasStorageOptions.getEnableInMemoryStorage"]], "getincludestorage() (hasstorageoptions method)": [[224, "sparknlp.common.storage.HasStorageOptions.getIncludeStorage"], [484, "sparknlp.common.storage.HasStorageOptions.getIncludeStorage"]], "getstoragepath() (hasstorage method)": [[224, "sparknlp.common.storage.HasStorage.getStoragePath"], [484, "sparknlp.common.storage.HasStorage.getStoragePath"]], "getstorageref() (hasstorageref method)": [[224, "sparknlp.common.storage.HasStorageRef.getStorageRef"], [484, "sparknlp.common.storage.HasStorageRef.getStorageRef"]], "includestorage (hasstorageoptions attribute)": [[224, "sparknlp.common.storage.HasStorageOptions.includeStorage"], [484, "sparknlp.common.storage.HasStorageOptions.includeStorage"]], "loadstorage() (hasstoragemodel static method)": [[224, "sparknlp.common.storage.HasStorageModel.loadStorage"], [484, "sparknlp.common.storage.HasStorageModel.loadStorage"]], "loadstorages() (hasstoragemodel static method)": [[224, "sparknlp.common.storage.HasStorageModel.loadStorages"], [484, "sparknlp.common.storage.HasStorageModel.loadStorages"]], "savestorage() (hasstoragemodel method)": [[224, "sparknlp.common.storage.HasStorageModel.saveStorage"], [484, "sparknlp.common.storage.HasStorageModel.saveStorage"]], "setenableinmemorystorage() (hasstorageoptions method)": [[224, "sparknlp.common.storage.HasStorageOptions.setEnableInMemoryStorage"], [484, "sparknlp.common.storage.HasStorageOptions.setEnableInMemoryStorage"]], "setincludestorage() (hasstorageoptions method)": [[224, "sparknlp.common.storage.HasStorageOptions.setIncludeStorage"], [484, "sparknlp.common.storage.HasStorageOptions.setIncludeStorage"]], "setstoragepath() (hasstorage method)": [[224, "sparknlp.common.storage.HasStorage.setStoragePath"], [484, "sparknlp.common.storage.HasStorage.setStoragePath"]], "setstorageref() (hasstorageref method)": [[224, "sparknlp.common.storage.HasStorageRef.setStorageRef"], [484, "sparknlp.common.storage.HasStorageRef.setStorageRef"]], "sparknlp.common.storage": [[224, "module-sparknlp.common.storage"], [484, "module-sparknlp.common.storage"]], "storagepath (hasstorage attribute)": [[224, "sparknlp.common.storage.HasStorage.storagePath"], [484, "sparknlp.common.storage.HasStorage.storagePath"]], "storageref (hasstorageref attribute)": [[224, "sparknlp.common.storage.HasStorageRef.storageRef"], [484, "sparknlp.common.storage.HasStorageRef.storageRef"]], "externalresource() (in module sparknlp.common.utils)": [[225, "sparknlp.common.utils.ExternalResource"], [485, "sparknlp.common.utils.ExternalResource"]], "regexrule() (in module sparknlp.common.utils)": [[225, "sparknlp.common.utils.RegexRule"], [485, "sparknlp.common.utils.RegexRule"]], "sparknlp.common.utils": [[225, "module-sparknlp.common.utils"], [485, "module-sparknlp.common.utils"]], "explode_annotations_col() (in module sparknlp.functions)": [[226, "sparknlp.functions.explode_annotations_col"], [486, "sparknlp.functions.explode_annotations_col"]], "filter_by_annotations_col() (in module sparknlp.functions)": [[226, "sparknlp.functions.filter_by_annotations_col"], [486, "sparknlp.functions.filter_by_annotations_col"]], "map_annotations() (in module sparknlp.functions)": [[226, "sparknlp.functions.map_annotations"], [486, "sparknlp.functions.map_annotations"]], "map_annotations_array() (in module sparknlp.functions)": [[226, "sparknlp.functions.map_annotations_array"], [486, "sparknlp.functions.map_annotations_array"]], "map_annotations_col() (in module sparknlp.functions)": [[226, "sparknlp.functions.map_annotations_col"], [486, "sparknlp.functions.map_annotations_col"]], "map_annotations_cols() (in module sparknlp.functions)": [[226, "sparknlp.functions.map_annotations_cols"], [486, "sparknlp.functions.map_annotations_cols"]], "map_annotations_strict() (in module sparknlp.functions)": [[226, "sparknlp.functions.map_annotations_strict"], [486, "sparknlp.functions.map_annotations_strict"]], "sparknlp.functions": [[226, "module-sparknlp.functions"], [486, "module-sparknlp.functions"]], "sparknlp.internal": [[227, "module-sparknlp.internal"], [491, "module-sparknlp.internal"]], "annotatorjavamlreadable (class in sparknlp.internal.annotator_java_ml)": [[228, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable"], [488, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable"]], "annotatorjavamlreader (class in sparknlp.internal.annotator_java_ml)": [[228, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReader"], [488, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReader"]], "read() (annotatorjavamlreadable class method)": [[228, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable.read"], [488, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable.read"]], "sparknlp.internal.annotator_java_ml": [[228, "module-sparknlp.internal.annotator_java_ml"], [488, "module-sparknlp.internal.annotator_java_ml"]], "annotatortransformer (class in sparknlp.internal.annotator_transformer)": [[229, "sparknlp.internal.annotator_transformer.AnnotatorTransformer"], [489, "sparknlp.internal.annotator_transformer.AnnotatorTransformer"]], "outputannotatortype (annotatortransformer attribute)": [[229, "sparknlp.internal.annotator_transformer.AnnotatorTransformer.outputAnnotatorType"], [489, "sparknlp.internal.annotator_transformer.AnnotatorTransformer.outputAnnotatorType"]], "sparknlp.internal.annotator_transformer": [[229, "module-sparknlp.internal.annotator_transformer"], [489, "module-sparknlp.internal.annotator_transformer"]], "extendedjavawrapper (class in sparknlp.internal.extended_java_wrapper)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper"]], "apply() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.apply"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.apply"]], "getdataframe() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.getDataFrame"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.getDataFrame"]], "new_java_array() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array"]], "new_java_array_integer() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_integer"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_integer"]], "new_java_array_string() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_string"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_string"]], "new_java_obj() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_obj"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_obj"]], "spark_version() (extendedjavawrapper method)": [[230, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.spark_version"], [490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.spark_version"]], "sparknlp.internal.extended_java_wrapper": [[230, "module-sparknlp.internal.extended_java_wrapper"], [490, "module-sparknlp.internal.extended_java_wrapper"]], "paramsgetterssetters (class in sparknlp.internal.params_getters_setters)": [[231, "sparknlp.internal.params_getters_setters.ParamsGettersSetters"], [492, "sparknlp.internal.params_getters_setters.ParamsGettersSetters"]], "getparamvalue() (paramsgetterssetters method)": [[231, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getParamValue"], [492, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getParamValue"]], "getter_attrs (paramsgetterssetters attribute)": [[231, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getter_attrs"], [492, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getter_attrs"]], "setparamvalue() (paramsgetterssetters method)": [[231, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.setParamValue"], [492, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.setParamValue"]], "sparknlp.internal.params_getters_setters": [[231, "module-sparknlp.internal.params_getters_setters"], [492, "module-sparknlp.internal.params_getters_setters"]], "recursiveestimator (class in sparknlp.internal.recursive)": [[232, "sparknlp.internal.recursive.RecursiveEstimator"], [493, "sparknlp.internal.recursive.RecursiveEstimator"]], "recursivetransformer (class in sparknlp.internal.recursive)": [[232, "sparknlp.internal.recursive.RecursiveTransformer"], [493, "sparknlp.internal.recursive.RecursiveTransformer"]], "fit() (recursiveestimator method)": [[232, "sparknlp.internal.recursive.RecursiveEstimator.fit"], [493, "sparknlp.internal.recursive.RecursiveEstimator.fit"]], "sparknlp.internal.recursive": [[232, "module-sparknlp.internal.recursive"], [493, "module-sparknlp.internal.recursive"]], "transform_recursive() (recursivetransformer method)": [[232, "sparknlp.internal.recursive.RecursiveTransformer.transform_recursive"], [493, "sparknlp.internal.recursive.RecursiveTransformer.transform_recursive"]], "sparknlp.logging": [[233, "module-sparknlp.logging"], [495, "module-sparknlp.logging"]], "cometlogger (class in sparknlp.logging.comet)": [[234, "sparknlp.logging.comet.CometLogger"], [494, "sparknlp.logging.comet.CometLogger"]], "end() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.end"], [494, "sparknlp.logging.comet.CometLogger.end"]], "log_asset() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_asset"], [494, "sparknlp.logging.comet.CometLogger.log_asset"]], "log_asset_data() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_asset_data"], [494, "sparknlp.logging.comet.CometLogger.log_asset_data"]], "log_completed_run() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_completed_run"], [494, "sparknlp.logging.comet.CometLogger.log_completed_run"]], "log_metrics() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_metrics"], [494, "sparknlp.logging.comet.CometLogger.log_metrics"]], "log_parameters() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_parameters"], [494, "sparknlp.logging.comet.CometLogger.log_parameters"]], "log_pipeline_parameters() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_pipeline_parameters"], [494, "sparknlp.logging.comet.CometLogger.log_pipeline_parameters"]], "log_visualization() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.log_visualization"], [494, "sparknlp.logging.comet.CometLogger.log_visualization"]], "monitor() (cometlogger method)": [[234, "sparknlp.logging.comet.CometLogger.monitor"], [494, "sparknlp.logging.comet.CometLogger.monitor"]], "sparknlp.logging.comet": [[234, "module-sparknlp.logging.comet"], [494, "module-sparknlp.logging.comet"]], "sparknlp.partition": [[235, "module-sparknlp.partition"], [496, "module-sparknlp.partition"]], "partition (class in sparknlp.partition.partition)": [[236, "sparknlp.partition.partition.Partition"], [497, "sparknlp.partition.partition.Partition"]], "partition() (partition method)": [[236, "sparknlp.partition.partition.Partition.partition"], [497, "sparknlp.partition.partition.Partition.partition"]], "partition_text() (partition method)": [[236, "sparknlp.partition.partition.Partition.partition_text"], [497, "sparknlp.partition.partition.Partition.partition_text"]], "partition_urls() (partition method)": [[236, "sparknlp.partition.partition.Partition.partition_urls"], [497, "sparknlp.partition.partition.Partition.partition_urls"]], "sparknlp.partition.partition": [[236, "module-sparknlp.partition.partition"], [497, "module-sparknlp.partition.partition"]], "haschunkerproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties"]], "hasemailreaderproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasEmailReaderProperties"], [498, "sparknlp.partition.partition_properties.HasEmailReaderProperties"]], "hasexcelreaderproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties"]], "hashtmlreaderproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties"]], "haspdfproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties"], [498, "sparknlp.partition.partition_properties.HasPdfProperties"]], "haspowerpointproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasPowerPointProperties"], [498, "sparknlp.partition.partition_properties.HasPowerPointProperties"]], "hasreaderproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties"], [498, "sparknlp.partition.partition_properties.HasReaderProperties"]], "hastextreaderproperties (class in sparknlp.partition.partition_properties)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties"]], "addattachmentcontent (hasemailreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasEmailReaderProperties.addAttachmentContent"], [498, "sparknlp.partition.partition_properties.HasEmailReaderProperties.addAttachmentContent"]], "appendcells (hasexcelreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties.appendCells"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties.appendCells"]], "cellseparator (hasexcelreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties.cellSeparator"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties.cellSeparator"]], "chunkingstrategy (haschunkerproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.chunkingStrategy"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.chunkingStrategy"]], "combinetextundernchars (haschunkerproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.combineTextUnderNChars"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.combineTextUnderNChars"]], "contentpath (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.contentPath"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.contentPath"]], "contenttype (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.contentType"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.contentType"]], "explodedocs (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.explodeDocs"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.explodeDocs"]], "extractcoordinates (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.extractCoordinates"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.extractCoordinates"]], "flattenoutput (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.flattenOutput"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.flattenOutput"]], "getaddattachmentcontent() (hasemailreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasEmailReaderProperties.getAddAttachmentContent"], [498, "sparknlp.partition.partition_properties.HasEmailReaderProperties.getAddAttachmentContent"]], "getappendcells() (hasexcelreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getAppendCells"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getAppendCells"]], "getcellseparator() (hasexcelreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getCellSeparator"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getCellSeparator"]], "getgroupbrokenparagraphs() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.getGroupBrokenParagraphs"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.getGroupBrokenParagraphs"]], "getincludeslidenotes() (haspowerpointproperties method)": [[237, "sparknlp.partition.partition_properties.HasPowerPointProperties.getIncludeSlideNotes"], [498, "sparknlp.partition.partition_properties.HasPowerPointProperties.getIncludeSlideNotes"]], "getmaxlinecount() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.getMaxLineCount"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.getMaxLineCount"]], "getparagraphsplit() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.getParagraphSplit"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.getParagraphSplit"]], "getshortlinewordthreshold() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.getShortLineWordThreshold"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.getShortLineWordThreshold"]], "getthreshold() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.getThreshold"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.getThreshold"]], "gettimeout() (hashtmlreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.getTimeout"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.getTimeout"]], "gettitlelengthsize() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.getTitleLengthSize"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.getTitleLengthSize"]], "groupbrokenparagraphs (hastextreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.groupBrokenParagraphs"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.groupBrokenParagraphs"]], "ignoreexceptions (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.ignoreExceptions"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.ignoreExceptions"]], "includepagebreaks (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.includePageBreaks"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.includePageBreaks"]], "includeslidenotes (haspowerpointproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPowerPointProperties.includeSlideNotes"], [498, "sparknlp.partition.partition_properties.HasPowerPointProperties.includeSlideNotes"]], "infertablestructure (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.inferTableStructure"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.inferTableStructure"]], "inputcol (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.inputCol"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.inputCol"]], "maxcharacters (haschunkerproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.maxCharacters"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.maxCharacters"]], "maxlinecount (hastextreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.maxLineCount"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.maxLineCount"]], "newafternchars (haschunkerproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"]], "normalizeligatures (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.normalizeLigatures"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.normalizeLigatures"]], "onlypagenum (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.onlyPageNum"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.onlyPageNum"]], "origincol (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.originCol"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.originCol"]], "outputasdocument (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.outputAsDocument"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.outputAsDocument"]], "outputcol (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.outputCol"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.outputCol"]], "outputformat (hashtmlreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.outputFormat"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.outputFormat"]], "overlap (haschunkerproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"]], "overlapall (haschunkerproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"]], "pagenumcol (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.pageNumCol"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.pageNumCol"]], "paragraphsplit (hastextreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"]], "partitionnum (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.partitionNum"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.partitionNum"]], "readasimage (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.readAsImage"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.readAsImage"]], "setaddattachmentcontent() (hasemailreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"], [498, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"]], "setappendcells() (hasexcelreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setAppendCells"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setAppendCells"]], "setcellseparator() (hasexcelreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setCellSeparator"], [498, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setCellSeparator"]], "setchunkingstrategy() (haschunkerproperties method)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.setChunkingStrategy"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.setChunkingStrategy"]], "setcombinetextundernchars() (haschunkerproperties method)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.setCombineTextUnderNChars"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.setCombineTextUnderNChars"]], "setcontentpath() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setContentPath"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setContentPath"]], "setcontenttype() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setContentType"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setContentType"]], "setexplodedocs() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setExplodeDocs"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setExplodeDocs"]], "setextractcoordinates() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setExtractCoordinates"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setExtractCoordinates"]], "setflattenoutput() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setFlattenOutput"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setFlattenOutput"]], "setgroupbrokenparagraphs() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.setGroupBrokenParagraphs"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.setGroupBrokenParagraphs"]], "setheaders() (hashtmlreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setHeaders"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setHeaders"]], "setignoreexceptions() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setIgnoreExceptions"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setIgnoreExceptions"]], "setincludepagebreaks() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setIncludePageBreaks"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setIncludePageBreaks"]], "setincludeslidenotes() (haspowerpointproperties method)": [[237, "sparknlp.partition.partition_properties.HasPowerPointProperties.setIncludeSlideNotes"], [498, "sparknlp.partition.partition_properties.HasPowerPointProperties.setIncludeSlideNotes"]], "setinfertablestructure() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setInferTableStructure"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setInferTableStructure"]], "setinputcol() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setInputCol"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setInputCol"]], "setmaxcharacters() (haschunkerproperties method)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.setMaxCharacters"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.setMaxCharacters"]], "setmaxlinecount() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.setMaxLineCount"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.setMaxLineCount"]], "setnewafternchars() (haschunkerproperties method)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.setNewAfterNChars"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.setNewAfterNChars"]], "setnormalizeligatures() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setNormalizeLigatures"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setNormalizeLigatures"]], "setonlypagenum() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setOnlyPageNum"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setOnlyPageNum"]], "setorigincol() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setOriginCol"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setOriginCol"]], "setoutputasdocument() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputAsDocument"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputAsDocument"]], "setoutputcol() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputCol"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputCol"]], "setoutputformat() (hashtmlreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setOutputFormat"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setOutputFormat"]], "setoverlap() (haschunkerproperties method)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlap"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlap"]], "setoverlapall() (haschunkerproperties method)": [[237, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlapAll"], [498, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlapAll"]], "setpagenumcol() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setPageNumCol"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setPageNumCol"]], "setparagraphsplit() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.setParagraphSplit"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.setParagraphSplit"]], "setpartitionnum() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setPartitionNum"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setPartitionNum"]], "setreadasimage() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setReadAsImage"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setReadAsImage"]], "setshortlinewordthreshold() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.setShortLineWordThreshold"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.setShortLineWordThreshold"]], "setsort() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setSort"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setSort"]], "setsplitpage() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setSplitPage"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setSplitPage"]], "setstorecontent() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setStoreContent"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setStoreContent"]], "setstoresplittedpdf() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setStoreSplittedPdf"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setStoreSplittedPdf"]], "settextstripper() (haspdfproperties method)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.setTextStripper"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.setTextStripper"]], "setthreshold() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.setThreshold"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.setThreshold"]], "settimeout() (hashtmlreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setTimeout"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setTimeout"]], "settitlefontsize() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleFontSize"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleFontSize"]], "settitlelengthsize() (hastextreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.setTitleLengthSize"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.setTitleLengthSize"]], "settitlethreshold() (hasreaderproperties method)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleThreshold"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleThreshold"]], "shortlinewordthreshold (hastextreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.shortLineWordThreshold"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.shortLineWordThreshold"]], "sort (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.sort"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.sort"]], "sparknlp.partition.partition_properties": [[237, "module-sparknlp.partition.partition_properties"], [498, "module-sparknlp.partition.partition_properties"]], "splitpage (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.splitPage"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.splitPage"]], "storecontent (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.storeContent"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.storeContent"]], "storesplittedpdf (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.storeSplittedPdf"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.storeSplittedPdf"]], "textstripper (haspdfproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasPdfProperties.textStripper"], [498, "sparknlp.partition.partition_properties.HasPdfProperties.textStripper"]], "threshold (hastextreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.threshold"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.threshold"]], "timeout (hashtmlreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.timeout"], [498, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.timeout"]], "titlefontsize (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.titleFontSize"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.titleFontSize"]], "titlelengthsize (hastextreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasTextReaderProperties.titleLengthSize"], [498, "sparknlp.partition.partition_properties.HasTextReaderProperties.titleLengthSize"]], "titlethreshold (hasreaderproperties attribute)": [[237, "sparknlp.partition.partition_properties.HasReaderProperties.titleThreshold"], [498, "sparknlp.partition.partition_properties.HasReaderProperties.titleThreshold"]], "partitiontransformer (class in sparknlp.partition.partition_transformer)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer"]], "contentpath (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.contentPath"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.contentPath"]], "contenttype (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.contentType"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.contentType"]], "getcontentpath() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentPath"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentPath"]], "getcontenttype() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentType"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentType"]], "getincludepagebreaks() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.getIncludePageBreaks"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.getIncludePageBreaks"]], "getinfertablestructure() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.getInferTableStructure"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.getInferTableStructure"]], "getstorecontent() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.getStoreContent"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.getStoreContent"]], "gettitlefontsize() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.getTitleFontSize"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.getTitleFontSize"]], "includepagebreaks (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.includePageBreaks"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.includePageBreaks"]], "infertablestructure (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.inferTableStructure"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.inferTableStructure"]], "inputannotatortypes (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.inputAnnotatorTypes"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.inputAnnotatorTypes"]], "name (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.name"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.name"]], "outputannotatortype (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.outputAnnotatorType"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.outputAnnotatorType"]], "setcontentpath() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentPath"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentPath"]], "setcontenttype() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentType"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentType"]], "setincludepagebreaks() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.setIncludePageBreaks"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.setIncludePageBreaks"]], "setinfertablestructure() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.setInferTableStructure"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.setInferTableStructure"]], "setstorecontent() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.setStoreContent"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.setStoreContent"]], "settitlefontsize() (partitiontransformer method)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.setTitleFontSize"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.setTitleFontSize"]], "sparknlp.partition.partition_transformer": [[238, "module-sparknlp.partition.partition_transformer"], [499, "module-sparknlp.partition.partition_transformer"]], "storecontent (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.storeContent"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.storeContent"]], "titlefontsize (partitiontransformer attribute)": [[238, "sparknlp.partition.partition_transformer.PartitionTransformer.titleFontSize"], [499, "sparknlp.partition.partition_transformer.PartitionTransformer.titleFontSize"]], "sparknlp.pretrained": [[239, "module-sparknlp.pretrained"], [500, "module-sparknlp.pretrained"]], "pretrainedpipeline (class in sparknlp.pretrained.pretrained_pipeline)": [[240, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline"], [501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline"]], "annotate() (pretrainedpipeline method)": [[240, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.annotate"], [501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.annotate"]], "from_disk() (pretrainedpipeline static method)": [[240, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.from_disk"], [501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.from_disk"]], "fullannotate() (pretrainedpipeline method)": [[240, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotate"], [501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotate"]], "fullannotateimage() (pretrainedpipeline method)": [[240, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotateImage"], [501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotateImage"]], "sparknlp.pretrained.pretrained_pipeline": [[240, "module-sparknlp.pretrained.pretrained_pipeline"], [501, "module-sparknlp.pretrained.pretrained_pipeline"]], "transform() (pretrainedpipeline method)": [[240, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.transform"], [501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.transform"]], "resourcedownloader (class in sparknlp.pretrained.resource_downloader)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader"]], "clearcache() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.clearCache"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.clearCache"]], "downloadmodel() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModel"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModel"]], "downloadmodeldirectly() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModelDirectly"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModelDirectly"]], "downloadpipeline() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadPipeline"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadPipeline"]], "showavailableannotators() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showAvailableAnnotators"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showAvailableAnnotators"]], "showpublicmodels() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicModels"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicModels"]], "showpublicpipelines() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicPipelines"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicPipelines"]], "showuncategorizedresources() (resourcedownloader static method)": [[241, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showUnCategorizedResources"], [502, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showUnCategorizedResources"]], "sparknlp.pretrained.resource_downloader": [[241, "module-sparknlp.pretrained.resource_downloader"], [502, "module-sparknlp.pretrained.resource_downloader"]], "printprogress() (in module sparknlp.pretrained.utils)": [[242, "sparknlp.pretrained.utils.printProgress"], [503, "sparknlp.pretrained.utils.printProgress"]], "sparknlp.pretrained.utils": [[242, "module-sparknlp.pretrained.utils"], [503, "module-sparknlp.pretrained.utils"]], "sparknlp.reader": [[243, "module-sparknlp.reader"], [505, "module-sparknlp.reader"]], "pdf_layout_text_stripper (textstrippertype attribute)": [[244, "sparknlp.reader.enums.TextStripperType.PDF_LAYOUT_TEXT_STRIPPER"], [504, "sparknlp.reader.enums.TextStripperType.PDF_LAYOUT_TEXT_STRIPPER"]], "pdf_text_stripper (textstrippertype attribute)": [[244, "sparknlp.reader.enums.TextStripperType.PDF_TEXT_STRIPPER"], [504, "sparknlp.reader.enums.TextStripperType.PDF_TEXT_STRIPPER"]], "textstrippertype (class in sparknlp.reader.enums)": [[244, "sparknlp.reader.enums.TextStripperType"], [504, "sparknlp.reader.enums.TextStripperType"]], "sparknlp.reader.enums": [[244, "module-sparknlp.reader.enums"], [504, "module-sparknlp.reader.enums"]], "pdftotext (class in sparknlp.reader.pdf_to_text)": [[245, "sparknlp.reader.pdf_to_text.PdfToText"], [506, "sparknlp.reader.pdf_to_text.PdfToText"]], "extractcoordinates (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.extractCoordinates"], [506, "sparknlp.reader.pdf_to_text.PdfToText.extractCoordinates"]], "normalizeligatures (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.normalizeLigatures"], [506, "sparknlp.reader.pdf_to_text.PdfToText.normalizeLigatures"]], "onlypagenum (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.onlyPageNum"], [506, "sparknlp.reader.pdf_to_text.PdfToText.onlyPageNum"]], "pagenumcol (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.pageNumCol"], [506, "sparknlp.reader.pdf_to_text.PdfToText.pageNumCol"]], "partitionnum (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.partitionNum"], [506, "sparknlp.reader.pdf_to_text.PdfToText.partitionNum"]], "setextractcoordinates() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setExtractCoordinates"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setExtractCoordinates"]], "setinputcol() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setInputCol"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setInputCol"]], "setnormalizeligatures() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setNormalizeLigatures"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setNormalizeLigatures"]], "setonlypagenum() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setOnlyPageNum"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setOnlyPageNum"]], "setoutputcol() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setOutputCol"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setOutputCol"]], "setpagenumcol() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setPageNumCol"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setPageNumCol"]], "setpartitionnum() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setPartitionNum"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setPartitionNum"]], "setsort() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setSort"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setSort"]], "setsplitpage() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setSplitPage"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setSplitPage"]], "setstoresplittedpdf() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setStoreSplittedPdf"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setStoreSplittedPdf"]], "settextstripper() (pdftotext method)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.setTextStripper"], [506, "sparknlp.reader.pdf_to_text.PdfToText.setTextStripper"]], "sort (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.sort"], [506, "sparknlp.reader.pdf_to_text.PdfToText.sort"]], "sparknlp.reader.pdf_to_text": [[245, "module-sparknlp.reader.pdf_to_text"], [506, "module-sparknlp.reader.pdf_to_text"]], "splitpage (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.splitPage"], [506, "sparknlp.reader.pdf_to_text.PdfToText.splitPage"]], "storesplittedpdf (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.storeSplittedPdf"], [506, "sparknlp.reader.pdf_to_text.PdfToText.storeSplittedPdf"]], "textstripper (pdftotext attribute)": [[245, "sparknlp.reader.pdf_to_text.PdfToText.textStripper"], [506, "sparknlp.reader.pdf_to_text.PdfToText.textStripper"]], "reader2doc (class in sparknlp.reader.reader2doc)": [[246, "sparknlp.reader.reader2doc.Reader2Doc"], [507, "sparknlp.reader.reader2doc.Reader2Doc"]], "excludenontext (reader2doc attribute)": [[246, "sparknlp.reader.reader2doc.Reader2Doc.excludeNonText"], [507, "sparknlp.reader.reader2doc.Reader2Doc.excludeNonText"]], "name (reader2doc attribute)": [[246, "sparknlp.reader.reader2doc.Reader2Doc.name"], [507, "sparknlp.reader.reader2doc.Reader2Doc.name"]], "outputannotatortype (reader2doc attribute)": [[246, "sparknlp.reader.reader2doc.Reader2Doc.outputAnnotatorType"], [507, "sparknlp.reader.reader2doc.Reader2Doc.outputAnnotatorType"]], "setexcludenontext() (reader2doc method)": [[246, "sparknlp.reader.reader2doc.Reader2Doc.setExcludeNonText"], [507, "sparknlp.reader.reader2doc.Reader2Doc.setExcludeNonText"]], "setparams() (reader2doc method)": [[246, "sparknlp.reader.reader2doc.Reader2Doc.setParams"], [507, "sparknlp.reader.reader2doc.Reader2Doc.setParams"]], "sparknlp.reader.reader2doc": [[246, "module-sparknlp.reader.reader2doc"], [507, "module-sparknlp.reader.reader2doc"]], "reader2image (class in sparknlp.reader.reader2image)": [[247, "sparknlp.reader.reader2image.Reader2Image"], [508, "sparknlp.reader.reader2image.Reader2Image"]], "customprompttemplate (reader2image attribute)": [[247, "sparknlp.reader.reader2image.Reader2Image.customPromptTemplate"], [508, "sparknlp.reader.reader2image.Reader2Image.customPromptTemplate"]], "name (reader2image attribute)": [[247, "sparknlp.reader.reader2image.Reader2Image.name"], [508, "sparknlp.reader.reader2image.Reader2Image.name"]], "outputannotatortype (reader2image attribute)": [[247, "sparknlp.reader.reader2image.Reader2Image.outputAnnotatorType"], [508, "sparknlp.reader.reader2image.Reader2Image.outputAnnotatorType"]], "prompttemplate (reader2image attribute)": [[247, "sparknlp.reader.reader2image.Reader2Image.promptTemplate"], [508, "sparknlp.reader.reader2image.Reader2Image.promptTemplate"]], "setcustomprompttemplate() (reader2image method)": [[247, "sparknlp.reader.reader2image.Reader2Image.setCustomPromptTemplate"], [508, "sparknlp.reader.reader2image.Reader2Image.setCustomPromptTemplate"]], "setparams() (reader2image method)": [[247, "sparknlp.reader.reader2image.Reader2Image.setParams"], [508, "sparknlp.reader.reader2image.Reader2Image.setParams"]], "setprompttemplate() (reader2image method)": [[247, "sparknlp.reader.reader2image.Reader2Image.setPromptTemplate"], [508, "sparknlp.reader.reader2image.Reader2Image.setPromptTemplate"]], "setusermessage() (reader2image method)": [[247, "sparknlp.reader.reader2image.Reader2Image.setUserMessage"], [508, "sparknlp.reader.reader2image.Reader2Image.setUserMessage"]], "sparknlp.reader.reader2image": [[247, "module-sparknlp.reader.reader2image"], [508, "module-sparknlp.reader.reader2image"]], "usermessage (reader2image attribute)": [[247, "sparknlp.reader.reader2image.Reader2Image.userMessage"], [508, "sparknlp.reader.reader2image.Reader2Image.userMessage"]], "reader2table (class in sparknlp.reader.reader2table)": [[248, "sparknlp.reader.reader2table.Reader2Table"], [509, "sparknlp.reader.reader2table.Reader2Table"]], "name (reader2table attribute)": [[248, "sparknlp.reader.reader2table.Reader2Table.name"], [509, "sparknlp.reader.reader2table.Reader2Table.name"]], "outputannotatortype (reader2table attribute)": [[248, "sparknlp.reader.reader2table.Reader2Table.outputAnnotatorType"], [509, "sparknlp.reader.reader2table.Reader2Table.outputAnnotatorType"]], "setparams() (reader2table method)": [[248, "sparknlp.reader.reader2table.Reader2Table.setParams"], [509, "sparknlp.reader.reader2table.Reader2Table.setParams"]], "sparknlp.reader.reader2table": [[248, "module-sparknlp.reader.reader2table"], [509, "module-sparknlp.reader.reader2table"]], "readerassembler (class in sparknlp.reader.reader_assembler)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler"]], "customprompttemplate (readerassembler attribute)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.customPromptTemplate"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.customPromptTemplate"]], "excludenontext (readerassembler attribute)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.excludeNonText"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.excludeNonText"]], "name (readerassembler attribute)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.name"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.name"]], "outputannotatortype (readerassembler attribute)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.outputAnnotatorType"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.outputAnnotatorType"]], "prompttemplate (readerassembler attribute)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.promptTemplate"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.promptTemplate"]], "setcustomprompttemplate() (readerassembler method)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.setCustomPromptTemplate"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.setCustomPromptTemplate"]], "setexcludenontext() (readerassembler method)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.setExcludeNonText"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.setExcludeNonText"]], "setparams() (readerassembler method)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.setParams"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.setParams"]], "setprompttemplate() (readerassembler method)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.setPromptTemplate"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.setPromptTemplate"]], "setusermessage() (readerassembler method)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.setUserMessage"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.setUserMessage"]], "sparknlp.reader.reader_assembler": [[249, "module-sparknlp.reader.reader_assembler"], [510, "module-sparknlp.reader.reader_assembler"]], "usermessage (readerassembler attribute)": [[249, "sparknlp.reader.reader_assembler.ReaderAssembler.userMessage"], [510, "sparknlp.reader.reader_assembler.ReaderAssembler.userMessage"]], "sparknlpreader (class in sparknlp.reader.sparknlp_reader)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader"]], "csv() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.csv"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.csv"]], "doc() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.doc"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.doc"]], "email() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.email"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.email"]], "html() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.html"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.html"]], "md() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.md"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.md"]], "pdf() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.pdf"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.pdf"]], "ppt() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.ppt"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.ppt"]], "sparknlp.reader.sparknlp_reader": [[250, "module-sparknlp.reader.sparknlp_reader"], [511, "module-sparknlp.reader.sparknlp_reader"]], "txt() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.txt"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.txt"]], "xls() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xls"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xls"]], "xml() (sparknlpreader method)": [[250, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xml"], [511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xml"]], "sparknlp.training": [[251, "module-sparknlp.training"], [514, "module-sparknlp.training"]], "conll (class in sparknlp.training.conll)": [[252, "sparknlp.training.conll.CoNLL"], [512, "sparknlp.training.conll.CoNLL"]], "readdataset() (conll method)": [[252, "sparknlp.training.conll.CoNLL.readDataset"], [512, "sparknlp.training.conll.CoNLL.readDataset"]], "sparknlp.training.conll": [[252, "module-sparknlp.training.conll"], [512, "module-sparknlp.training.conll"]], "conllu (class in sparknlp.training.conllu)": [[253, "sparknlp.training.conllu.CoNLLU"], [513, "sparknlp.training.conllu.CoNLLU"]], "readdataset() (conllu method)": [[253, "sparknlp.training.conllu.CoNLLU.readDataset"], [513, "sparknlp.training.conllu.CoNLLU.readDataset"]], "sparknlp.training.conllu": [[253, "module-sparknlp.training.conllu"], [513, "module-sparknlp.training.conllu"]], "pos (class in sparknlp.training.pos)": [[254, "sparknlp.training.pos.POS"], [515, "sparknlp.training.pos.POS"]], "readdataset() (pos method)": [[254, "sparknlp.training.pos.POS.readDataset"], [515, "sparknlp.training.pos.POS.readDataset"]], "sparknlp.training.pos": [[254, "module-sparknlp.training.pos"], [515, "module-sparknlp.training.pos"]], "pubtator (class in sparknlp.training.pub_tator)": [[255, "sparknlp.training.pub_tator.PubTator"], [516, "sparknlp.training.pub_tator.PubTator"]], "readdataset() (pubtator method)": [[255, "sparknlp.training.pub_tator.PubTator.readDataset"], [516, "sparknlp.training.pub_tator.PubTator.readDataset"]], "sparknlp.training.pub_tator": [[255, "module-sparknlp.training.pub_tator"], [516, "module-sparknlp.training.pub_tator"]], "spacytoannotation (class in sparknlp.training.spacy_to_annotation)": [[256, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation"], [517, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation"]], "readjsonfile() (spacytoannotation method)": [[256, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation.readJsonFile"], [517, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation.readJsonFile"]], "sparknlp.training.spacy_to_annotation": [[256, "module-sparknlp.training.spacy_to_annotation"], [517, "module-sparknlp.training.spacy_to_annotation"]], "pushtohub (class in sparknlp.upload_to_hub)": [[258, "sparknlp.upload_to_hub.PushToHub"], [519, "sparknlp.upload_to_hub.PushToHub"]], "check_for_required_info() (pushtohub method)": [[258, "sparknlp.upload_to_hub.PushToHub.check_for_required_info"], [519, "sparknlp.upload_to_hub.PushToHub.check_for_required_info"]], "create_docs() (pushtohub method)": [[258, "sparknlp.upload_to_hub.PushToHub.create_docs"], [519, "sparknlp.upload_to_hub.PushToHub.create_docs"]], "list_of_tasks (pushtohub attribute)": [[258, "sparknlp.upload_to_hub.PushToHub.list_of_tasks"], [519, "sparknlp.upload_to_hub.PushToHub.list_of_tasks"]], "push_to_hub() (pushtohub method)": [[258, "sparknlp.upload_to_hub.PushToHub.push_to_hub"], [519, "sparknlp.upload_to_hub.PushToHub.push_to_hub"]], "sparknlp.upload_to_hub": [[258, "module-sparknlp.upload_to_hub"], [519, "module-sparknlp.upload_to_hub"]], "unzip_directory() (pushtohub method)": [[258, "sparknlp.upload_to_hub.PushToHub.unzip_directory"], [519, "sparknlp.upload_to_hub.PushToHub.unzip_directory"]], "zip_directory() (pushtohub method)": [[258, "sparknlp.upload_to_hub.PushToHub.zip_directory"], [519, "sparknlp.upload_to_hub.PushToHub.zip_directory"]], "conllgenerator (class in sparknlp.util)": [[259, "sparknlp.util.CoNLLGenerator"], [520, "sparknlp.util.CoNLLGenerator"]], "embeddingsdataframeutils (class in sparknlp.util)": [[259, "sparknlp.util.EmbeddingsDataFrameUtils"], [520, "sparknlp.util.EmbeddingsDataFrameUtils"]], "emptyimagerow (embeddingsdataframeutils attribute)": [[259, "sparknlp.util.EmbeddingsDataFrameUtils.emptyImageRow"], [520, "sparknlp.util.EmbeddingsDataFrameUtils.emptyImageRow"]], "exportconllfiles() (conllgenerator static method)": [[259, "sparknlp.util.CoNLLGenerator.exportConllFiles"], [520, "sparknlp.util.CoNLLGenerator.exportConllFiles"]], "get_config_path() (in module sparknlp.util)": [[259, "sparknlp.util.get_config_path"], [520, "sparknlp.util.get_config_path"]], "imageschema (embeddingsdataframeutils attribute)": [[259, "sparknlp.util.EmbeddingsDataFrameUtils.imageSchema"], [520, "sparknlp.util.EmbeddingsDataFrameUtils.imageSchema"]], "sparknlp.util": [[259, "module-sparknlp.util"], [520, "module-sparknlp.util"]], "annotatortype (annotation attribute)": [[262, "sparknlp.annotation.Annotation.annotatorType"]], "begin (annotation attribute)": [[262, "sparknlp.annotation.Annotation.begin"]], "embeddings (annotation attribute)": [[262, "sparknlp.annotation.Annotation.embeddings"]], "end (annotation attribute)": [[262, "sparknlp.annotation.Annotation.end"]], "metadata (annotation attribute)": [[262, "sparknlp.annotation.Annotation.metadata"]], "result (annotation attribute)": [[262, "sparknlp.annotation.Annotation.result"]], "annotatortype (annotationaudio attribute)": [[263, "sparknlp.annotation_audio.AnnotationAudio.annotatorType"]], "metadata (annotationaudio attribute)": [[263, "sparknlp.annotation_audio.AnnotationAudio.metadata"]], "result (annotationaudio attribute)": [[263, "sparknlp.annotation_audio.AnnotationAudio.result"]], "annotatortype (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.annotatorType"]], "height (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.height"]], "metadata (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.metadata"]], "mode (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.mode"]], "nchannels (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.nChannels"]], "origin (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.origin"]], "result (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.result"]], "width (annotationimage attribute)": [[264, "sparknlp.annotation_image.AnnotationImage.width"]], "documenttokensplittertestspec (class in sparknlp.annotator.document_token_splitter_test)": [[348, "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec"]], "setup() (documenttokensplittertestspec method)": [[348, "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec.setUp"]], "sparknlp.annotator.document_token_splitter_test": [[348, "module-sparknlp.annotator.document_token_splitter_test"]], "test_run() (documenttokensplittertestspec method)": [[348, "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec.test_run"]], "annotators (in module sparknlp.annotator)": [[383, "sparknlp.annotator.annotators"]], "audio (in module sparknlp.annotator)": [[383, "sparknlp.annotator.audio"]], "classifier (in module sparknlp.annotator)": [[383, "sparknlp.annotator.classifier"]], "coref (in module sparknlp.annotator)": [[383, "sparknlp.annotator.coref"]], "cv (in module sparknlp.annotator)": [[383, "sparknlp.annotator.cv"]], "embeddings (in module sparknlp.annotator)": [[383, "sparknlp.annotator.embeddings"]], "er (in module sparknlp.annotator)": [[383, "sparknlp.annotator.er"]], "keyword (in module sparknlp.annotator)": [[383, "sparknlp.annotator.keyword"]], "ld (in module sparknlp.annotator)": [[383, "sparknlp.annotator.ld"]], "ner (in module sparknlp.annotator)": [[383, "sparknlp.annotator.ner"]], "parser (in module sparknlp.annotator)": [[383, "sparknlp.annotator.parser"]], "pos (in module sparknlp.annotator)": [[383, "sparknlp.annotator.pos"]], "regex (in module sparknlp.annotator)": [[383, "sparknlp.annotator.regex"]], "sbd (in module sparknlp.annotator)": [[383, "sparknlp.annotator.sbd"]], "sda (in module sparknlp.annotator)": [[383, "sparknlp.annotator.sda"]], "sentence_detector_dl (in module sparknlp.annotator)": [[383, "sparknlp.annotator.sentence_detector_dl"]], "seq2seq (in module sparknlp.annotator)": [[383, "sparknlp.annotator.seq2seq"]], "spell (in module sparknlp.annotator)": [[383, "sparknlp.annotator.spell"]], "ws (in module sparknlp.annotator)": [[383, "sparknlp.annotator.ws"]], "dictionary_path (norvigsweetingapproach attribute)": [[444, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dictionary_path"]], "dictionary_path (symmetricdeleteapproach attribute)": [[445, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dictionary_path"]], "parse_embeddings (lightpipeline attribute)": [[468, "sparknlp.base.light_pipeline.LightPipeline.parse_embeddings"]], "pipeline_model (lightpipeline attribute)": [[468, "sparknlp.base.light_pipeline.LightPipeline.pipeline_model"]], "stages (recursivepipelinemodel attribute)": [[471, "sparknlp.base.recursive_pipeline.RecursivePipelineModel.stages"]], "covered (coverageresult attribute)": [[478, "sparknlp.common.coverage_result.CoverageResult.covered"]], "percentage (coverageresult attribute)": [[478, "sparknlp.common.coverage_result.CoverageResult.percentage"]], "total (coverageresult attribute)": [[478, "sparknlp.common.coverage_result.CoverageResult.total"]], "annotators (in module sparknlp)": [[487, "sparknlp.annotators"]], "embeddings (in module sparknlp)": [[487, "sparknlp.embeddings"]], "java_obj (extendedjavawrapper attribute)": [[490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.java_obj"]], "sc (extendedjavawrapper attribute)": [[490, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.sc"]], "comet_ml (in module sparknlp.logging.comet)": [[494, "sparknlp.logging.comet.comet_ml"]], "comet_mode (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.comet_mode"]], "experiment (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.experiment"]], "experiment_id (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.experiment_id"]], "experiment_kwargs (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.experiment_kwargs"]], "project_name (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.project_name"]], "thread (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.thread"]], "workspace (cometlogger attribute)": [[494, "sparknlp.logging.comet.CometLogger.workspace"]], "spark (partition attribute)": [[497, "sparknlp.partition.partition.Partition.spark"]], "light_model (pretrainedpipeline attribute)": [[501, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.light_model"]], "spark (sparknlpreader attribute)": [[511, "sparknlp.reader.sparknlp_reader.SparkNLPReader.spark"]], "sparknlp.training.tfgraphs": [[518, "module-sparknlp.training.tfgraphs"]], "tf_graph (in module sparknlp.training.tfgraphs)": [[518, "sparknlp.training.tfgraphs.tf_graph"]], "tf_graph_1x (in module sparknlp.training.tfgraphs)": [[518, "sparknlp.training.tfgraphs.tf_graph_1x"]]}}) \ No newline at end of file +Search.setIndex({"docnames": ["_api/modules", "_api/sparknlp", "_api/sparknlp.annotation", "_api/sparknlp.annotation_audio", "_api/sparknlp.annotation_image", "_api/sparknlp.annotator", "_api/sparknlp.annotator.audio", "_api/sparknlp.annotator.audio.hubert_for_ctc", "_api/sparknlp.annotator.audio.wav2vec2_for_ctc", "_api/sparknlp.annotator.audio.whisper_for_ctc", "_api/sparknlp.annotator.chunk2_doc", "_api/sparknlp.annotator.chunker", "_api/sparknlp.annotator.classifier_dl", "_api/sparknlp.annotator.classifier_dl.albert_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.albert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.albert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.albert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.bert_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.bert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.bert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.bert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.camembert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.camembert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.camembert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.classifier_dl", "_api/sparknlp.annotator.classifier_dl.deberta_for_question_answering", "_api/sparknlp.annotator.classifier_dl.deberta_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.deberta_for_token_classification", "_api/sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_question_answering", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_token_classification", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.longformer_for_question_answering", "_api/sparknlp.annotator.classifier_dl.longformer_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.longformer_for_token_classification", "_api/sparknlp.annotator.classifier_dl.mpnet_for_question_answering", "_api/sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.mpnet_for_token_classification", "_api/sparknlp.annotator.classifier_dl.multi_classifier_dl", "_api/sparknlp.annotator.classifier_dl.roberta_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.roberta_for_question_answering", "_api/sparknlp.annotator.classifier_dl.roberta_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.roberta_for_token_classification", "_api/sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.sentiment_dl", "_api/sparknlp.annotator.classifier_dl.tapas_for_question_answering", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification", "_api/sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification", "_api/sparknlp.annotator.classifier_dl.xlnet_for_token_classification", "_api/sparknlp.annotator.cleaners", "_api/sparknlp.annotator.cleaners.cleaner", "_api/sparknlp.annotator.cleaners.extractor", "_api/sparknlp.annotator.coref", "_api/sparknlp.annotator.coref.spanbert_coref", "_api/sparknlp.annotator.cv", "_api/sparknlp.annotator.cv.blip_for_question_answering", "_api/sparknlp.annotator.cv.clip_for_zero_shot_classification", "_api/sparknlp.annotator.cv.convnext_for_image_classification", "_api/sparknlp.annotator.cv.florence2_transformer", "_api/sparknlp.annotator.cv.gemma3_for_multimodal", "_api/sparknlp.annotator.cv.internvl_for_multimodal", "_api/sparknlp.annotator.cv.janus_for_multimodal", "_api/sparknlp.annotator.cv.llava_for_multimodal", "_api/sparknlp.annotator.cv.mllama_for_multimodal", "_api/sparknlp.annotator.cv.paligemma_for_multimodal", "_api/sparknlp.annotator.cv.phi3_vision_for_multimodal", "_api/sparknlp.annotator.cv.qwen2vl_transformer", "_api/sparknlp.annotator.cv.smolvlm_transformer", "_api/sparknlp.annotator.cv.swin_for_image_classification", "_api/sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning", "_api/sparknlp.annotator.cv.vit_for_image_classification", "_api/sparknlp.annotator.dataframe_optimizer", "_api/sparknlp.annotator.date2_chunk", "_api/sparknlp.annotator.dependency", "_api/sparknlp.annotator.dependency.dependency_parser", "_api/sparknlp.annotator.dependency.typed_dependency_parser", "_api/sparknlp.annotator.document_character_text_splitter", "_api/sparknlp.annotator.document_normalizer", "_api/sparknlp.annotator.document_token_splitter", "_api/sparknlp.annotator.document_token_splitter_test", "_api/sparknlp.annotator.embeddings", "_api/sparknlp.annotator.embeddings.albert_embeddings", "_api/sparknlp.annotator.embeddings.auto_gguf_embeddings", "_api/sparknlp.annotator.embeddings.bert_embeddings", "_api/sparknlp.annotator.embeddings.bert_sentence_embeddings", "_api/sparknlp.annotator.embeddings.bge_embeddings", "_api/sparknlp.annotator.embeddings.camembert_embeddings", "_api/sparknlp.annotator.embeddings.chunk_embeddings", "_api/sparknlp.annotator.embeddings.deberta_embeddings", "_api/sparknlp.annotator.embeddings.distil_bert_embeddings", "_api/sparknlp.annotator.embeddings.doc2vec", "_api/sparknlp.annotator.embeddings.e5_embeddings", "_api/sparknlp.annotator.embeddings.e5v_embeddings", "_api/sparknlp.annotator.embeddings.elmo_embeddings", "_api/sparknlp.annotator.embeddings.instructor_embeddings", "_api/sparknlp.annotator.embeddings.longformer_embeddings", "_api/sparknlp.annotator.embeddings.minilm_embeddings", "_api/sparknlp.annotator.embeddings.mpnet_embeddings", "_api/sparknlp.annotator.embeddings.mxbai_embeddings", "_api/sparknlp.annotator.embeddings.nomic_embeddings", "_api/sparknlp.annotator.embeddings.roberta_embeddings", "_api/sparknlp.annotator.embeddings.roberta_sentence_embeddings", "_api/sparknlp.annotator.embeddings.sentence_embeddings", "_api/sparknlp.annotator.embeddings.snowflake_embeddings", "_api/sparknlp.annotator.embeddings.uae_embeddings", "_api/sparknlp.annotator.embeddings.universal_sentence_encoder", "_api/sparknlp.annotator.embeddings.word2vec", "_api/sparknlp.annotator.embeddings.word_embeddings", "_api/sparknlp.annotator.embeddings.xlm_roberta_embeddings", "_api/sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings", "_api/sparknlp.annotator.embeddings.xlnet_embeddings", "_api/sparknlp.annotator.er", "_api/sparknlp.annotator.er.entity_ruler", "_api/sparknlp.annotator.graph_extraction", "_api/sparknlp.annotator.keyword_extraction", "_api/sparknlp.annotator.keyword_extraction.yake_keyword_extraction", "_api/sparknlp.annotator.ld_dl", "_api/sparknlp.annotator.ld_dl.language_detector_dl", "_api/sparknlp.annotator.lemmatizer", "_api/sparknlp.annotator.matcher", "_api/sparknlp.annotator.matcher.big_text_matcher", "_api/sparknlp.annotator.matcher.date_matcher", "_api/sparknlp.annotator.matcher.multi_date_matcher", "_api/sparknlp.annotator.matcher.regex_matcher", "_api/sparknlp.annotator.matcher.text_matcher", "_api/sparknlp.annotator.n_gram_generator", "_api/sparknlp.annotator.ner", "_api/sparknlp.annotator.ner.ner_approach", "_api/sparknlp.annotator.ner.ner_converter", "_api/sparknlp.annotator.ner.ner_crf", "_api/sparknlp.annotator.ner.ner_dl", "_api/sparknlp.annotator.ner.ner_dl_graph_checker", "_api/sparknlp.annotator.ner.ner_overwriter", "_api/sparknlp.annotator.ner.zero_shot_ner_model", "_api/sparknlp.annotator.normalizer", "_api/sparknlp.annotator.openai", "_api/sparknlp.annotator.openai.openai_completion", "_api/sparknlp.annotator.openai.openai_embeddings", "_api/sparknlp.annotator.param", "_api/sparknlp.annotator.param.classifier_encoder", "_api/sparknlp.annotator.param.evaluation_dl_params", "_api/sparknlp.annotator.pos", "_api/sparknlp.annotator.pos.perceptron", "_api/sparknlp.annotator.sentence", "_api/sparknlp.annotator.sentence.sentence_detector", "_api/sparknlp.annotator.sentence.sentence_detector_dl", "_api/sparknlp.annotator.sentiment", "_api/sparknlp.annotator.sentiment.sentiment_detector", "_api/sparknlp.annotator.sentiment.vivekn_sentiment", "_api/sparknlp.annotator.seq2seq", "_api/sparknlp.annotator.seq2seq.auto_gguf_model", "_api/sparknlp.annotator.seq2seq.auto_gguf_reranker", "_api/sparknlp.annotator.seq2seq.auto_gguf_vision_model", "_api/sparknlp.annotator.seq2seq.bart_transformer", "_api/sparknlp.annotator.seq2seq.cohere_transformer", "_api/sparknlp.annotator.seq2seq.cpm_transformer", "_api/sparknlp.annotator.seq2seq.gpt2_transformer", "_api/sparknlp.annotator.seq2seq.llama2_transformer", "_api/sparknlp.annotator.seq2seq.llama3_transformer", "_api/sparknlp.annotator.seq2seq.m2m100_transformer", "_api/sparknlp.annotator.seq2seq.marian_transformer", "_api/sparknlp.annotator.seq2seq.mistral_transformer", "_api/sparknlp.annotator.seq2seq.nllb_transformer", "_api/sparknlp.annotator.seq2seq.olmo_transformer", "_api/sparknlp.annotator.seq2seq.phi2_transformer", "_api/sparknlp.annotator.seq2seq.phi3_transformer", "_api/sparknlp.annotator.seq2seq.phi4_transformer", "_api/sparknlp.annotator.seq2seq.qwen_transformer", "_api/sparknlp.annotator.seq2seq.starcoder_transformer", "_api/sparknlp.annotator.seq2seq.t5_transformer", "_api/sparknlp.annotator.similarity", "_api/sparknlp.annotator.similarity.document_similarity_ranker", "_api/sparknlp.annotator.spell_check", "_api/sparknlp.annotator.spell_check.context_spell_checker", "_api/sparknlp.annotator.spell_check.norvig_sweeting", "_api/sparknlp.annotator.spell_check.symmetric_delete", "_api/sparknlp.annotator.stemmer", "_api/sparknlp.annotator.stop_words_cleaner", "_api/sparknlp.annotator.tf_ner_dl_graph_builder", "_api/sparknlp.annotator.token", "_api/sparknlp.annotator.token.chunk_tokenizer", "_api/sparknlp.annotator.token.recursive_tokenizer", "_api/sparknlp.annotator.token.regex_tokenizer", "_api/sparknlp.annotator.token.tokenizer", "_api/sparknlp.annotator.token2_chunk", "_api/sparknlp.annotator.ws", "_api/sparknlp.annotator.ws.word_segmenter", "_api/sparknlp.base", "_api/sparknlp.base.audio_assembler", "_api/sparknlp.base.doc2_chunk", "_api/sparknlp.base.document_assembler", "_api/sparknlp.base.embeddings_finisher", "_api/sparknlp.base.finisher", "_api/sparknlp.base.gguf_ranking_finisher", "_api/sparknlp.base.graph_finisher", "_api/sparknlp.base.has_recursive_fit", "_api/sparknlp.base.has_recursive_transform", "_api/sparknlp.base.image_assembler", "_api/sparknlp.base.light_pipeline", "_api/sparknlp.base.multi_document_assembler", "_api/sparknlp.base.prompt_assembler", "_api/sparknlp.base.recursive_pipeline", "_api/sparknlp.base.table_assembler", "_api/sparknlp.base.token_assembler", "_api/sparknlp.common", "_api/sparknlp.common.annotator_approach", "_api/sparknlp.common.annotator_model", "_api/sparknlp.common.annotator_properties", "_api/sparknlp.common.annotator_type", "_api/sparknlp.common.completion_post_processing", "_api/sparknlp.common.coverage_result", "_api/sparknlp.common.match_strategy", "_api/sparknlp.common.properties", "_api/sparknlp.common.read_as", "_api/sparknlp.common.recursive_annotator_approach", "_api/sparknlp.common.storage", "_api/sparknlp.common.utils", "_api/sparknlp.functions", "_api/sparknlp.internal", "_api/sparknlp.internal.annotator_java_ml", "_api/sparknlp.internal.annotator_transformer", "_api/sparknlp.internal.extended_java_wrapper", "_api/sparknlp.internal.params_getters_setters", "_api/sparknlp.internal.recursive", "_api/sparknlp.logging", "_api/sparknlp.logging.comet", "_api/sparknlp.partition", "_api/sparknlp.partition.partition", "_api/sparknlp.partition.partition_properties", "_api/sparknlp.partition.partition_transformer", "_api/sparknlp.pretrained", "_api/sparknlp.pretrained.pretrained_pipeline", "_api/sparknlp.pretrained.resource_downloader", "_api/sparknlp.pretrained.utils", "_api/sparknlp.reader", "_api/sparknlp.reader.enums", "_api/sparknlp.reader.pdf_to_text", "_api/sparknlp.reader.reader2doc", "_api/sparknlp.reader.reader2image", "_api/sparknlp.reader.reader2table", "_api/sparknlp.reader.reader_assembler", "_api/sparknlp.reader.sparknlp_reader", "_api/sparknlp.training", "_api/sparknlp.training.conll", "_api/sparknlp.training.conllu", "_api/sparknlp.training.pos", "_api/sparknlp.training.pub_tator", "_api/sparknlp.training.spacy_to_annotation", "_api/sparknlp.training.tfgraphs", "_api/sparknlp.upload_to_hub", "_api/sparknlp.util", "getting_started/index", "index", "reference/autosummary/sparknlp/annotation/index", "reference/autosummary/sparknlp/annotation_audio/index", "reference/autosummary/sparknlp/annotation_image/index", "reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index", "reference/autosummary/sparknlp/annotator/audio/index", "reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index", "reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index", "reference/autosummary/sparknlp/annotator/chunk2_doc/index", "reference/autosummary/sparknlp/annotator/chunker/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index", "reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index", "reference/autosummary/sparknlp/annotator/cleaners/cleaner/index", "reference/autosummary/sparknlp/annotator/cleaners/extractor/index", "reference/autosummary/sparknlp/annotator/cleaners/index", "reference/autosummary/sparknlp/annotator/coref/index", "reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index", "reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index", "reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index", "reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index", "reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index", "reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/index", "reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index", "reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index", "reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index", "reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index", "reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index", "reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index", "reference/autosummary/sparknlp/annotator/dataframe_optimizer/index", "reference/autosummary/sparknlp/annotator/date2_chunk/index", "reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index", "reference/autosummary/sparknlp/annotator/dependency/index", "reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index", "reference/autosummary/sparknlp/annotator/document_character_text_splitter/index", "reference/autosummary/sparknlp/annotator/document_normalizer/index", "reference/autosummary/sparknlp/annotator/document_token_splitter/index", "reference/autosummary/sparknlp/annotator/document_token_splitter_test/index", "reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index", "reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index", "reference/autosummary/sparknlp/annotator/embeddings/word2vec/index", "reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index", "reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index", "reference/autosummary/sparknlp/annotator/er/entity_ruler/index", "reference/autosummary/sparknlp/annotator/er/index", "reference/autosummary/sparknlp/annotator/graph_extraction/index", "reference/autosummary/sparknlp/annotator/index", "reference/autosummary/sparknlp/annotator/keyword_extraction/index", "reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index", "reference/autosummary/sparknlp/annotator/ld_dl/index", "reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index", "reference/autosummary/sparknlp/annotator/lemmatizer/index", "reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/date_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/index", "reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index", "reference/autosummary/sparknlp/annotator/matcher/text_matcher/index", "reference/autosummary/sparknlp/annotator/n_gram_generator/index", "reference/autosummary/sparknlp/annotator/ner/index", "reference/autosummary/sparknlp/annotator/ner/ner_approach/index", "reference/autosummary/sparknlp/annotator/ner/ner_converter/index", "reference/autosummary/sparknlp/annotator/ner/ner_crf/index", "reference/autosummary/sparknlp/annotator/ner/ner_dl/index", "reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index", "reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index", "reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index", "reference/autosummary/sparknlp/annotator/normalizer/index", "reference/autosummary/sparknlp/annotator/openai/index", "reference/autosummary/sparknlp/annotator/openai/openai_completion/index", "reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index", "reference/autosummary/sparknlp/annotator/param/classifier_encoder/index", "reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index", "reference/autosummary/sparknlp/annotator/param/index", "reference/autosummary/sparknlp/annotator/pos/index", "reference/autosummary/sparknlp/annotator/pos/perceptron/index", "reference/autosummary/sparknlp/annotator/sentence/index", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index", "reference/autosummary/sparknlp/annotator/sentiment/index", "reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index", "reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index", "reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/index", "reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index", "reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index", "reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index", "reference/autosummary/sparknlp/annotator/similarity/index", "reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index", "reference/autosummary/sparknlp/annotator/spell_check/index", "reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index", "reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index", "reference/autosummary/sparknlp/annotator/stemmer/index", "reference/autosummary/sparknlp/annotator/stop_words_cleaner/index", "reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index", "reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index", "reference/autosummary/sparknlp/annotator/token/index", "reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index", "reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index", "reference/autosummary/sparknlp/annotator/token/tokenizer/index", "reference/autosummary/sparknlp/annotator/token2_chunk/index", "reference/autosummary/sparknlp/annotator/ws/index", "reference/autosummary/sparknlp/annotator/ws/word_segmenter/index", "reference/autosummary/sparknlp/base/audio_assembler/index", "reference/autosummary/sparknlp/base/doc2_chunk/index", "reference/autosummary/sparknlp/base/document_assembler/index", "reference/autosummary/sparknlp/base/embeddings_finisher/index", "reference/autosummary/sparknlp/base/finisher/index", "reference/autosummary/sparknlp/base/gguf_ranking_finisher/index", "reference/autosummary/sparknlp/base/graph_finisher/index", "reference/autosummary/sparknlp/base/has_recursive_fit/index", "reference/autosummary/sparknlp/base/has_recursive_transform/index", "reference/autosummary/sparknlp/base/image_assembler/index", "reference/autosummary/sparknlp/base/index", "reference/autosummary/sparknlp/base/light_pipeline/index", "reference/autosummary/sparknlp/base/multi_document_assembler/index", "reference/autosummary/sparknlp/base/prompt_assembler/index", "reference/autosummary/sparknlp/base/recursive_pipeline/index", "reference/autosummary/sparknlp/base/table_assembler/index", "reference/autosummary/sparknlp/base/token_assembler/index", "reference/autosummary/sparknlp/common/annotator_approach/index", "reference/autosummary/sparknlp/common/annotator_model/index", "reference/autosummary/sparknlp/common/annotator_properties/index", "reference/autosummary/sparknlp/common/annotator_type/index", "reference/autosummary/sparknlp/common/completion_post_processing/index", "reference/autosummary/sparknlp/common/coverage_result/index", "reference/autosummary/sparknlp/common/index", "reference/autosummary/sparknlp/common/match_strategy/index", "reference/autosummary/sparknlp/common/properties/index", "reference/autosummary/sparknlp/common/read_as/index", "reference/autosummary/sparknlp/common/recursive_annotator_approach/index", "reference/autosummary/sparknlp/common/storage/index", "reference/autosummary/sparknlp/common/utils/index", "reference/autosummary/sparknlp/functions/index", "reference/autosummary/sparknlp/index", "reference/autosummary/sparknlp/internal/annotator_java_ml/index", "reference/autosummary/sparknlp/internal/annotator_transformer/index", "reference/autosummary/sparknlp/internal/extended_java_wrapper/index", "reference/autosummary/sparknlp/internal/index", "reference/autosummary/sparknlp/internal/params_getters_setters/index", "reference/autosummary/sparknlp/internal/recursive/index", "reference/autosummary/sparknlp/logging/comet/index", "reference/autosummary/sparknlp/logging/index", "reference/autosummary/sparknlp/partition/index", "reference/autosummary/sparknlp/partition/partition/index", "reference/autosummary/sparknlp/partition/partition_properties/index", "reference/autosummary/sparknlp/partition/partition_transformer/index", "reference/autosummary/sparknlp/pretrained/index", "reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index", "reference/autosummary/sparknlp/pretrained/resource_downloader/index", "reference/autosummary/sparknlp/pretrained/utils/index", "reference/autosummary/sparknlp/reader/enums/index", "reference/autosummary/sparknlp/reader/index", "reference/autosummary/sparknlp/reader/pdf_to_text/index", "reference/autosummary/sparknlp/reader/reader2doc/index", "reference/autosummary/sparknlp/reader/reader2image/index", "reference/autosummary/sparknlp/reader/reader2table/index", "reference/autosummary/sparknlp/reader/reader_assembler/index", "reference/autosummary/sparknlp/reader/sparknlp_reader/index", "reference/autosummary/sparknlp/training/conll/index", "reference/autosummary/sparknlp/training/conllu/index", "reference/autosummary/sparknlp/training/index", "reference/autosummary/sparknlp/training/pos/index", "reference/autosummary/sparknlp/training/pub_tator/index", "reference/autosummary/sparknlp/training/spacy_to_annotation/index", "reference/autosummary/sparknlp/training/tfgraphs/index", "reference/autosummary/sparknlp/upload_to_hub/index", "reference/autosummary/sparknlp/util/index", "reference/index", "third_party/Comet", "third_party/MLflow", "third_party/index", "user_guide/annotation", "user_guide/annotators", "user_guide/custom_pipelines", "user_guide/helpers", "user_guide/index", "user_guide/light_pipelines", "user_guide/pretrained_pipelines", "user_guide/training"], "filenames": ["_api/modules.rst", "_api/sparknlp.rst", "_api/sparknlp.annotation.rst", "_api/sparknlp.annotation_audio.rst", "_api/sparknlp.annotation_image.rst", "_api/sparknlp.annotator.rst", "_api/sparknlp.annotator.audio.rst", "_api/sparknlp.annotator.audio.hubert_for_ctc.rst", "_api/sparknlp.annotator.audio.wav2vec2_for_ctc.rst", "_api/sparknlp.annotator.audio.whisper_for_ctc.rst", "_api/sparknlp.annotator.chunk2_doc.rst", "_api/sparknlp.annotator.chunker.rst", "_api/sparknlp.annotator.classifier_dl.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.classifier_dl.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.longformer_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.longformer_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.mpnet_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.mpnet_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.multi_classifier_dl.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.sentiment_dl.rst", "_api/sparknlp.annotator.classifier_dl.tapas_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.rst", "_api/sparknlp.annotator.classifier_dl.xlnet_for_token_classification.rst", "_api/sparknlp.annotator.cleaners.rst", "_api/sparknlp.annotator.cleaners.cleaner.rst", "_api/sparknlp.annotator.cleaners.extractor.rst", "_api/sparknlp.annotator.coref.rst", "_api/sparknlp.annotator.coref.spanbert_coref.rst", "_api/sparknlp.annotator.cv.rst", "_api/sparknlp.annotator.cv.blip_for_question_answering.rst", "_api/sparknlp.annotator.cv.clip_for_zero_shot_classification.rst", "_api/sparknlp.annotator.cv.convnext_for_image_classification.rst", "_api/sparknlp.annotator.cv.florence2_transformer.rst", "_api/sparknlp.annotator.cv.gemma3_for_multimodal.rst", "_api/sparknlp.annotator.cv.internvl_for_multimodal.rst", "_api/sparknlp.annotator.cv.janus_for_multimodal.rst", "_api/sparknlp.annotator.cv.llava_for_multimodal.rst", "_api/sparknlp.annotator.cv.mllama_for_multimodal.rst", "_api/sparknlp.annotator.cv.paligemma_for_multimodal.rst", "_api/sparknlp.annotator.cv.phi3_vision_for_multimodal.rst", "_api/sparknlp.annotator.cv.qwen2vl_transformer.rst", "_api/sparknlp.annotator.cv.smolvlm_transformer.rst", "_api/sparknlp.annotator.cv.swin_for_image_classification.rst", "_api/sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.rst", "_api/sparknlp.annotator.cv.vit_for_image_classification.rst", "_api/sparknlp.annotator.dataframe_optimizer.rst", "_api/sparknlp.annotator.date2_chunk.rst", "_api/sparknlp.annotator.dependency.rst", "_api/sparknlp.annotator.dependency.dependency_parser.rst", "_api/sparknlp.annotator.dependency.typed_dependency_parser.rst", "_api/sparknlp.annotator.document_character_text_splitter.rst", "_api/sparknlp.annotator.document_normalizer.rst", "_api/sparknlp.annotator.document_token_splitter.rst", "_api/sparknlp.annotator.document_token_splitter_test.rst", "_api/sparknlp.annotator.embeddings.rst", "_api/sparknlp.annotator.embeddings.albert_embeddings.rst", "_api/sparknlp.annotator.embeddings.auto_gguf_embeddings.rst", "_api/sparknlp.annotator.embeddings.bert_embeddings.rst", "_api/sparknlp.annotator.embeddings.bert_sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.bge_embeddings.rst", "_api/sparknlp.annotator.embeddings.camembert_embeddings.rst", "_api/sparknlp.annotator.embeddings.chunk_embeddings.rst", "_api/sparknlp.annotator.embeddings.deberta_embeddings.rst", "_api/sparknlp.annotator.embeddings.distil_bert_embeddings.rst", "_api/sparknlp.annotator.embeddings.doc2vec.rst", "_api/sparknlp.annotator.embeddings.e5_embeddings.rst", "_api/sparknlp.annotator.embeddings.e5v_embeddings.rst", "_api/sparknlp.annotator.embeddings.elmo_embeddings.rst", "_api/sparknlp.annotator.embeddings.instructor_embeddings.rst", "_api/sparknlp.annotator.embeddings.longformer_embeddings.rst", "_api/sparknlp.annotator.embeddings.minilm_embeddings.rst", "_api/sparknlp.annotator.embeddings.mpnet_embeddings.rst", "_api/sparknlp.annotator.embeddings.mxbai_embeddings.rst", "_api/sparknlp.annotator.embeddings.nomic_embeddings.rst", "_api/sparknlp.annotator.embeddings.roberta_embeddings.rst", "_api/sparknlp.annotator.embeddings.roberta_sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.snowflake_embeddings.rst", "_api/sparknlp.annotator.embeddings.uae_embeddings.rst", "_api/sparknlp.annotator.embeddings.universal_sentence_encoder.rst", "_api/sparknlp.annotator.embeddings.word2vec.rst", "_api/sparknlp.annotator.embeddings.word_embeddings.rst", "_api/sparknlp.annotator.embeddings.xlm_roberta_embeddings.rst", "_api/sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.rst", "_api/sparknlp.annotator.embeddings.xlnet_embeddings.rst", "_api/sparknlp.annotator.er.rst", "_api/sparknlp.annotator.er.entity_ruler.rst", "_api/sparknlp.annotator.graph_extraction.rst", "_api/sparknlp.annotator.keyword_extraction.rst", "_api/sparknlp.annotator.keyword_extraction.yake_keyword_extraction.rst", "_api/sparknlp.annotator.ld_dl.rst", "_api/sparknlp.annotator.ld_dl.language_detector_dl.rst", "_api/sparknlp.annotator.lemmatizer.rst", "_api/sparknlp.annotator.matcher.rst", "_api/sparknlp.annotator.matcher.big_text_matcher.rst", "_api/sparknlp.annotator.matcher.date_matcher.rst", "_api/sparknlp.annotator.matcher.multi_date_matcher.rst", "_api/sparknlp.annotator.matcher.regex_matcher.rst", "_api/sparknlp.annotator.matcher.text_matcher.rst", "_api/sparknlp.annotator.n_gram_generator.rst", "_api/sparknlp.annotator.ner.rst", "_api/sparknlp.annotator.ner.ner_approach.rst", "_api/sparknlp.annotator.ner.ner_converter.rst", "_api/sparknlp.annotator.ner.ner_crf.rst", "_api/sparknlp.annotator.ner.ner_dl.rst", "_api/sparknlp.annotator.ner.ner_dl_graph_checker.rst", "_api/sparknlp.annotator.ner.ner_overwriter.rst", "_api/sparknlp.annotator.ner.zero_shot_ner_model.rst", "_api/sparknlp.annotator.normalizer.rst", "_api/sparknlp.annotator.openai.rst", "_api/sparknlp.annotator.openai.openai_completion.rst", "_api/sparknlp.annotator.openai.openai_embeddings.rst", "_api/sparknlp.annotator.param.rst", "_api/sparknlp.annotator.param.classifier_encoder.rst", "_api/sparknlp.annotator.param.evaluation_dl_params.rst", "_api/sparknlp.annotator.pos.rst", "_api/sparknlp.annotator.pos.perceptron.rst", "_api/sparknlp.annotator.sentence.rst", "_api/sparknlp.annotator.sentence.sentence_detector.rst", "_api/sparknlp.annotator.sentence.sentence_detector_dl.rst", "_api/sparknlp.annotator.sentiment.rst", "_api/sparknlp.annotator.sentiment.sentiment_detector.rst", "_api/sparknlp.annotator.sentiment.vivekn_sentiment.rst", "_api/sparknlp.annotator.seq2seq.rst", "_api/sparknlp.annotator.seq2seq.auto_gguf_model.rst", "_api/sparknlp.annotator.seq2seq.auto_gguf_reranker.rst", "_api/sparknlp.annotator.seq2seq.auto_gguf_vision_model.rst", "_api/sparknlp.annotator.seq2seq.bart_transformer.rst", "_api/sparknlp.annotator.seq2seq.cohere_transformer.rst", "_api/sparknlp.annotator.seq2seq.cpm_transformer.rst", "_api/sparknlp.annotator.seq2seq.gpt2_transformer.rst", "_api/sparknlp.annotator.seq2seq.llama2_transformer.rst", "_api/sparknlp.annotator.seq2seq.llama3_transformer.rst", "_api/sparknlp.annotator.seq2seq.m2m100_transformer.rst", "_api/sparknlp.annotator.seq2seq.marian_transformer.rst", "_api/sparknlp.annotator.seq2seq.mistral_transformer.rst", "_api/sparknlp.annotator.seq2seq.nllb_transformer.rst", "_api/sparknlp.annotator.seq2seq.olmo_transformer.rst", "_api/sparknlp.annotator.seq2seq.phi2_transformer.rst", "_api/sparknlp.annotator.seq2seq.phi3_transformer.rst", "_api/sparknlp.annotator.seq2seq.phi4_transformer.rst", "_api/sparknlp.annotator.seq2seq.qwen_transformer.rst", "_api/sparknlp.annotator.seq2seq.starcoder_transformer.rst", "_api/sparknlp.annotator.seq2seq.t5_transformer.rst", "_api/sparknlp.annotator.similarity.rst", "_api/sparknlp.annotator.similarity.document_similarity_ranker.rst", "_api/sparknlp.annotator.spell_check.rst", "_api/sparknlp.annotator.spell_check.context_spell_checker.rst", "_api/sparknlp.annotator.spell_check.norvig_sweeting.rst", "_api/sparknlp.annotator.spell_check.symmetric_delete.rst", "_api/sparknlp.annotator.stemmer.rst", "_api/sparknlp.annotator.stop_words_cleaner.rst", "_api/sparknlp.annotator.tf_ner_dl_graph_builder.rst", "_api/sparknlp.annotator.token.rst", "_api/sparknlp.annotator.token.chunk_tokenizer.rst", "_api/sparknlp.annotator.token.recursive_tokenizer.rst", "_api/sparknlp.annotator.token.regex_tokenizer.rst", "_api/sparknlp.annotator.token.tokenizer.rst", "_api/sparknlp.annotator.token2_chunk.rst", "_api/sparknlp.annotator.ws.rst", "_api/sparknlp.annotator.ws.word_segmenter.rst", "_api/sparknlp.base.rst", "_api/sparknlp.base.audio_assembler.rst", "_api/sparknlp.base.doc2_chunk.rst", "_api/sparknlp.base.document_assembler.rst", "_api/sparknlp.base.embeddings_finisher.rst", "_api/sparknlp.base.finisher.rst", "_api/sparknlp.base.gguf_ranking_finisher.rst", "_api/sparknlp.base.graph_finisher.rst", "_api/sparknlp.base.has_recursive_fit.rst", "_api/sparknlp.base.has_recursive_transform.rst", "_api/sparknlp.base.image_assembler.rst", "_api/sparknlp.base.light_pipeline.rst", "_api/sparknlp.base.multi_document_assembler.rst", "_api/sparknlp.base.prompt_assembler.rst", "_api/sparknlp.base.recursive_pipeline.rst", "_api/sparknlp.base.table_assembler.rst", "_api/sparknlp.base.token_assembler.rst", "_api/sparknlp.common.rst", "_api/sparknlp.common.annotator_approach.rst", "_api/sparknlp.common.annotator_model.rst", "_api/sparknlp.common.annotator_properties.rst", "_api/sparknlp.common.annotator_type.rst", "_api/sparknlp.common.completion_post_processing.rst", "_api/sparknlp.common.coverage_result.rst", "_api/sparknlp.common.match_strategy.rst", "_api/sparknlp.common.properties.rst", "_api/sparknlp.common.read_as.rst", "_api/sparknlp.common.recursive_annotator_approach.rst", "_api/sparknlp.common.storage.rst", "_api/sparknlp.common.utils.rst", "_api/sparknlp.functions.rst", "_api/sparknlp.internal.rst", "_api/sparknlp.internal.annotator_java_ml.rst", "_api/sparknlp.internal.annotator_transformer.rst", "_api/sparknlp.internal.extended_java_wrapper.rst", "_api/sparknlp.internal.params_getters_setters.rst", "_api/sparknlp.internal.recursive.rst", "_api/sparknlp.logging.rst", "_api/sparknlp.logging.comet.rst", "_api/sparknlp.partition.rst", "_api/sparknlp.partition.partition.rst", "_api/sparknlp.partition.partition_properties.rst", "_api/sparknlp.partition.partition_transformer.rst", "_api/sparknlp.pretrained.rst", "_api/sparknlp.pretrained.pretrained_pipeline.rst", "_api/sparknlp.pretrained.resource_downloader.rst", "_api/sparknlp.pretrained.utils.rst", "_api/sparknlp.reader.rst", "_api/sparknlp.reader.enums.rst", "_api/sparknlp.reader.pdf_to_text.rst", "_api/sparknlp.reader.reader2doc.rst", "_api/sparknlp.reader.reader2image.rst", "_api/sparknlp.reader.reader2table.rst", "_api/sparknlp.reader.reader_assembler.rst", "_api/sparknlp.reader.sparknlp_reader.rst", "_api/sparknlp.training.rst", "_api/sparknlp.training.conll.rst", "_api/sparknlp.training.conllu.rst", "_api/sparknlp.training.pos.rst", "_api/sparknlp.training.pub_tator.rst", "_api/sparknlp.training.spacy_to_annotation.rst", "_api/sparknlp.training.tfgraphs.rst", "_api/sparknlp.upload_to_hub.rst", "_api/sparknlp.util.rst", "getting_started/index.rst", "index.rst", "reference/autosummary/sparknlp/annotation/index.rst", "reference/autosummary/sparknlp/annotation_audio/index.rst", "reference/autosummary/sparknlp/annotation_image/index.rst", "reference/autosummary/sparknlp/annotator/audio/hubert_for_ctc/index.rst", "reference/autosummary/sparknlp/annotator/audio/index.rst", "reference/autosummary/sparknlp/annotator/audio/wav2vec2_for_ctc/index.rst", "reference/autosummary/sparknlp/annotator/audio/whisper_for_ctc/index.rst", "reference/autosummary/sparknlp/annotator/chunk2_doc/index.rst", "reference/autosummary/sparknlp/annotator/chunker/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/albert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bart_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/bert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/camembert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/classifier_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/deberta_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distil_bert_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/distilbert_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/longformer_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/mpnet_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/multi_classifier_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/roberta_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/sentiment_dl/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/tapas_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_multiple_choice/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlm_roberta_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_sequence_classification/index.rst", "reference/autosummary/sparknlp/annotator/classifier_dl/xlnet_for_token_classification/index.rst", "reference/autosummary/sparknlp/annotator/cleaners/cleaner/index.rst", "reference/autosummary/sparknlp/annotator/cleaners/extractor/index.rst", "reference/autosummary/sparknlp/annotator/cleaners/index.rst", "reference/autosummary/sparknlp/annotator/coref/index.rst", "reference/autosummary/sparknlp/annotator/coref/spanbert_coref/index.rst", "reference/autosummary/sparknlp/annotator/cv/blip_for_question_answering/index.rst", "reference/autosummary/sparknlp/annotator/cv/clip_for_zero_shot_classification/index.rst", "reference/autosummary/sparknlp/annotator/cv/convnext_for_image_classification/index.rst", "reference/autosummary/sparknlp/annotator/cv/florence2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/cv/gemma3_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/index.rst", "reference/autosummary/sparknlp/annotator/cv/internvl_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/janus_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/llava_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/mllama_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/paligemma_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/phi3_vision_for_multimodal/index.rst", "reference/autosummary/sparknlp/annotator/cv/qwen2vl_transformer/index.rst", "reference/autosummary/sparknlp/annotator/cv/smolvlm_transformer/index.rst", "reference/autosummary/sparknlp/annotator/cv/swin_for_image_classification/index.rst", "reference/autosummary/sparknlp/annotator/cv/vision_encoder_decoder_for_image_captioning/index.rst", "reference/autosummary/sparknlp/annotator/cv/vit_for_image_classification/index.rst", "reference/autosummary/sparknlp/annotator/dataframe_optimizer/index.rst", "reference/autosummary/sparknlp/annotator/date2_chunk/index.rst", "reference/autosummary/sparknlp/annotator/dependency/dependency_parser/index.rst", "reference/autosummary/sparknlp/annotator/dependency/index.rst", "reference/autosummary/sparknlp/annotator/dependency/typed_dependency_parser/index.rst", "reference/autosummary/sparknlp/annotator/document_character_text_splitter/index.rst", "reference/autosummary/sparknlp/annotator/document_normalizer/index.rst", "reference/autosummary/sparknlp/annotator/document_token_splitter/index.rst", "reference/autosummary/sparknlp/annotator/document_token_splitter_test/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/albert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/auto_gguf_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/bert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/bert_sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/bge_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/camembert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/chunk_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/deberta_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/distil_bert_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/doc2vec/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/e5_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/e5v_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/elmo_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/instructor_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/longformer_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/minilm_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/mpnet_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/mxbai_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/nomic_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/roberta_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/roberta_sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/snowflake_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/uae_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/universal_sentence_encoder/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/word2vec/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/word_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/xlm_roberta_sentence_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/embeddings/xlnet_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/er/entity_ruler/index.rst", "reference/autosummary/sparknlp/annotator/er/index.rst", "reference/autosummary/sparknlp/annotator/graph_extraction/index.rst", "reference/autosummary/sparknlp/annotator/index.rst", "reference/autosummary/sparknlp/annotator/keyword_extraction/index.rst", "reference/autosummary/sparknlp/annotator/keyword_extraction/yake_keyword_extraction/index.rst", "reference/autosummary/sparknlp/annotator/ld_dl/index.rst", "reference/autosummary/sparknlp/annotator/ld_dl/language_detector_dl/index.rst", "reference/autosummary/sparknlp/annotator/lemmatizer/index.rst", "reference/autosummary/sparknlp/annotator/matcher/big_text_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/date_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/multi_date_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/regex_matcher/index.rst", "reference/autosummary/sparknlp/annotator/matcher/text_matcher/index.rst", "reference/autosummary/sparknlp/annotator/n_gram_generator/index.rst", "reference/autosummary/sparknlp/annotator/ner/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_approach/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_converter/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_crf/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_dl/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_dl_graph_checker/index.rst", "reference/autosummary/sparknlp/annotator/ner/ner_overwriter/index.rst", "reference/autosummary/sparknlp/annotator/ner/zero_shot_ner_model/index.rst", "reference/autosummary/sparknlp/annotator/normalizer/index.rst", "reference/autosummary/sparknlp/annotator/openai/index.rst", "reference/autosummary/sparknlp/annotator/openai/openai_completion/index.rst", "reference/autosummary/sparknlp/annotator/openai/openai_embeddings/index.rst", "reference/autosummary/sparknlp/annotator/param/classifier_encoder/index.rst", "reference/autosummary/sparknlp/annotator/param/evaluation_dl_params/index.rst", "reference/autosummary/sparknlp/annotator/param/index.rst", "reference/autosummary/sparknlp/annotator/pos/index.rst", "reference/autosummary/sparknlp/annotator/pos/perceptron/index.rst", "reference/autosummary/sparknlp/annotator/sentence/index.rst", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector/index.rst", "reference/autosummary/sparknlp/annotator/sentence/sentence_detector_dl/index.rst", "reference/autosummary/sparknlp/annotator/sentiment/index.rst", "reference/autosummary/sparknlp/annotator/sentiment/sentiment_detector/index.rst", "reference/autosummary/sparknlp/annotator/sentiment/vivekn_sentiment/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_model/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_reranker/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/auto_gguf_vision_model/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/bart_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/cohere_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/cpm_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/gpt2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/llama2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/llama3_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/m2m100_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/marian_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/mistral_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/nllb_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/olmo_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/phi2_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/phi3_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/phi4_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/qwen_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/starcoder_transformer/index.rst", "reference/autosummary/sparknlp/annotator/seq2seq/t5_transformer/index.rst", "reference/autosummary/sparknlp/annotator/similarity/document_similarity_ranker/index.rst", "reference/autosummary/sparknlp/annotator/similarity/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/context_spell_checker/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/norvig_sweeting/index.rst", "reference/autosummary/sparknlp/annotator/spell_check/symmetric_delete/index.rst", "reference/autosummary/sparknlp/annotator/stemmer/index.rst", "reference/autosummary/sparknlp/annotator/stop_words_cleaner/index.rst", "reference/autosummary/sparknlp/annotator/tf_ner_dl_graph_builder/index.rst", "reference/autosummary/sparknlp/annotator/token/chunk_tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token/index.rst", "reference/autosummary/sparknlp/annotator/token/recursive_tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token/regex_tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token/tokenizer/index.rst", "reference/autosummary/sparknlp/annotator/token2_chunk/index.rst", "reference/autosummary/sparknlp/annotator/ws/index.rst", "reference/autosummary/sparknlp/annotator/ws/word_segmenter/index.rst", "reference/autosummary/sparknlp/base/audio_assembler/index.rst", "reference/autosummary/sparknlp/base/doc2_chunk/index.rst", "reference/autosummary/sparknlp/base/document_assembler/index.rst", "reference/autosummary/sparknlp/base/embeddings_finisher/index.rst", "reference/autosummary/sparknlp/base/finisher/index.rst", "reference/autosummary/sparknlp/base/gguf_ranking_finisher/index.rst", "reference/autosummary/sparknlp/base/graph_finisher/index.rst", "reference/autosummary/sparknlp/base/has_recursive_fit/index.rst", "reference/autosummary/sparknlp/base/has_recursive_transform/index.rst", "reference/autosummary/sparknlp/base/image_assembler/index.rst", "reference/autosummary/sparknlp/base/index.rst", "reference/autosummary/sparknlp/base/light_pipeline/index.rst", "reference/autosummary/sparknlp/base/multi_document_assembler/index.rst", "reference/autosummary/sparknlp/base/prompt_assembler/index.rst", "reference/autosummary/sparknlp/base/recursive_pipeline/index.rst", "reference/autosummary/sparknlp/base/table_assembler/index.rst", "reference/autosummary/sparknlp/base/token_assembler/index.rst", "reference/autosummary/sparknlp/common/annotator_approach/index.rst", "reference/autosummary/sparknlp/common/annotator_model/index.rst", "reference/autosummary/sparknlp/common/annotator_properties/index.rst", "reference/autosummary/sparknlp/common/annotator_type/index.rst", "reference/autosummary/sparknlp/common/completion_post_processing/index.rst", "reference/autosummary/sparknlp/common/coverage_result/index.rst", "reference/autosummary/sparknlp/common/index.rst", "reference/autosummary/sparknlp/common/match_strategy/index.rst", "reference/autosummary/sparknlp/common/properties/index.rst", "reference/autosummary/sparknlp/common/read_as/index.rst", "reference/autosummary/sparknlp/common/recursive_annotator_approach/index.rst", "reference/autosummary/sparknlp/common/storage/index.rst", "reference/autosummary/sparknlp/common/utils/index.rst", "reference/autosummary/sparknlp/functions/index.rst", "reference/autosummary/sparknlp/index.rst", "reference/autosummary/sparknlp/internal/annotator_java_ml/index.rst", "reference/autosummary/sparknlp/internal/annotator_transformer/index.rst", "reference/autosummary/sparknlp/internal/extended_java_wrapper/index.rst", "reference/autosummary/sparknlp/internal/index.rst", "reference/autosummary/sparknlp/internal/params_getters_setters/index.rst", "reference/autosummary/sparknlp/internal/recursive/index.rst", "reference/autosummary/sparknlp/logging/comet/index.rst", "reference/autosummary/sparknlp/logging/index.rst", "reference/autosummary/sparknlp/partition/index.rst", "reference/autosummary/sparknlp/partition/partition/index.rst", "reference/autosummary/sparknlp/partition/partition_properties/index.rst", "reference/autosummary/sparknlp/partition/partition_transformer/index.rst", "reference/autosummary/sparknlp/pretrained/index.rst", "reference/autosummary/sparknlp/pretrained/pretrained_pipeline/index.rst", "reference/autosummary/sparknlp/pretrained/resource_downloader/index.rst", "reference/autosummary/sparknlp/pretrained/utils/index.rst", "reference/autosummary/sparknlp/reader/enums/index.rst", "reference/autosummary/sparknlp/reader/index.rst", "reference/autosummary/sparknlp/reader/pdf_to_text/index.rst", "reference/autosummary/sparknlp/reader/reader2doc/index.rst", "reference/autosummary/sparknlp/reader/reader2image/index.rst", "reference/autosummary/sparknlp/reader/reader2table/index.rst", "reference/autosummary/sparknlp/reader/reader_assembler/index.rst", "reference/autosummary/sparknlp/reader/sparknlp_reader/index.rst", "reference/autosummary/sparknlp/training/conll/index.rst", "reference/autosummary/sparknlp/training/conllu/index.rst", "reference/autosummary/sparknlp/training/index.rst", "reference/autosummary/sparknlp/training/pos/index.rst", "reference/autosummary/sparknlp/training/pub_tator/index.rst", "reference/autosummary/sparknlp/training/spacy_to_annotation/index.rst", "reference/autosummary/sparknlp/training/tfgraphs/index.rst", "reference/autosummary/sparknlp/upload_to_hub/index.rst", "reference/autosummary/sparknlp/util/index.rst", "reference/index.rst", "third_party/Comet.rst", "third_party/MLflow.rst", "third_party/index.rst", "user_guide/annotation.rst", "user_guide/annotators.rst", "user_guide/custom_pipelines.rst", "user_guide/helpers.rst", "user_guide/index.rst", "user_guide/light_pipelines.rst", "user_guide/pretrained_pipelines.rst", "user_guide/training.rst"], "titles": ["sparknlp", "sparknlp package", "sparknlp.annotation module", "sparknlp.annotation_audio module", "sparknlp.annotation_image module", "sparknlp.annotator package", "sparknlp.annotator.audio package", "sparknlp.annotator.audio.hubert_for_ctc module", "sparknlp.annotator.audio.wav2vec2_for_ctc module", "sparknlp.annotator.audio.whisper_for_ctc module", "sparknlp.annotator.chunk2_doc module", "sparknlp.annotator.chunker module", "sparknlp.annotator.classifier_dl package", "sparknlp.annotator.classifier_dl.albert_for_multiple_choice module", "sparknlp.annotator.classifier_dl.albert_for_question_answering module", "sparknlp.annotator.classifier_dl.albert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.albert_for_token_classification module", "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.bert_for_multiple_choice module", "sparknlp.annotator.classifier_dl.bert_for_question_answering module", "sparknlp.annotator.classifier_dl.bert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.bert_for_token_classification module", "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.camembert_for_question_answering module", "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.camembert_for_token_classification module", "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.classifier_dl module", "sparknlp.annotator.classifier_dl.deberta_for_question_answering module", "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification module", "sparknlp.annotator.classifier_dl.deberta_for_token_classification module", "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering module", "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification module", "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification module", "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice module", "sparknlp.annotator.classifier_dl.longformer_for_question_answering module", "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification module", "sparknlp.annotator.classifier_dl.longformer_for_token_classification module", "sparknlp.annotator.classifier_dl.mpnet_for_question_answering module", "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification module", "sparknlp.annotator.classifier_dl.mpnet_for_token_classification module", "sparknlp.annotator.classifier_dl.multi_classifier_dl module", "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice module", "sparknlp.annotator.classifier_dl.roberta_for_question_answering module", "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification module", "sparknlp.annotator.classifier_dl.roberta_for_token_classification module", "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.sentiment_dl module", "sparknlp.annotator.classifier_dl.tapas_for_question_answering module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification module", "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification module", "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification module", "sparknlp.annotator.classifier_dl.xlnet_for_token_classification module", "sparknlp.annotator.cleaners package", "sparknlp.annotator.cleaners.cleaner module", "sparknlp.annotator.cleaners.extractor module", "sparknlp.annotator.coref package", "sparknlp.annotator.coref.spanbert_coref module", "sparknlp.annotator.cv package", "sparknlp.annotator.cv.blip_for_question_answering module", "sparknlp.annotator.cv.clip_for_zero_shot_classification module", "sparknlp.annotator.cv.convnext_for_image_classification module", "sparknlp.annotator.cv.florence2_transformer module", "sparknlp.annotator.cv.gemma3_for_multimodal module", "sparknlp.annotator.cv.internvl_for_multimodal module", "sparknlp.annotator.cv.janus_for_multimodal module", "sparknlp.annotator.cv.llava_for_multimodal module", "sparknlp.annotator.cv.mllama_for_multimodal module", "sparknlp.annotator.cv.paligemma_for_multimodal module", "sparknlp.annotator.cv.phi3_vision_for_multimodal module", "sparknlp.annotator.cv.qwen2vl_transformer module", "sparknlp.annotator.cv.smolvlm_transformer module", "sparknlp.annotator.cv.swin_for_image_classification module", "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning module", "sparknlp.annotator.cv.vit_for_image_classification module", "sparknlp.annotator.dataframe_optimizer module", "sparknlp.annotator.date2_chunk module", "sparknlp.annotator.dependency package", "sparknlp.annotator.dependency.dependency_parser module", "sparknlp.annotator.dependency.typed_dependency_parser module", "sparknlp.annotator.document_character_text_splitter module", "sparknlp.annotator.document_normalizer module", "sparknlp.annotator.document_token_splitter module", "sparknlp.annotator.document_token_splitter_test module", "sparknlp.annotator.embeddings package", "sparknlp.annotator.embeddings.albert_embeddings module", "sparknlp.annotator.embeddings.auto_gguf_embeddings module", "sparknlp.annotator.embeddings.bert_embeddings module", "sparknlp.annotator.embeddings.bert_sentence_embeddings module", "sparknlp.annotator.embeddings.bge_embeddings module", "sparknlp.annotator.embeddings.camembert_embeddings module", "sparknlp.annotator.embeddings.chunk_embeddings module", "sparknlp.annotator.embeddings.deberta_embeddings module", "sparknlp.annotator.embeddings.distil_bert_embeddings module", "sparknlp.annotator.embeddings.doc2vec module", "sparknlp.annotator.embeddings.e5_embeddings module", "sparknlp.annotator.embeddings.e5v_embeddings module", "sparknlp.annotator.embeddings.elmo_embeddings module", "sparknlp.annotator.embeddings.instructor_embeddings module", "sparknlp.annotator.embeddings.longformer_embeddings module", "sparknlp.annotator.embeddings.minilm_embeddings module", "sparknlp.annotator.embeddings.mpnet_embeddings module", "sparknlp.annotator.embeddings.mxbai_embeddings module", "sparknlp.annotator.embeddings.nomic_embeddings module", "sparknlp.annotator.embeddings.roberta_embeddings module", "sparknlp.annotator.embeddings.roberta_sentence_embeddings module", "sparknlp.annotator.embeddings.sentence_embeddings module", "sparknlp.annotator.embeddings.snowflake_embeddings module", "sparknlp.annotator.embeddings.uae_embeddings module", "sparknlp.annotator.embeddings.universal_sentence_encoder module", "sparknlp.annotator.embeddings.word2vec module", "sparknlp.annotator.embeddings.word_embeddings module", "sparknlp.annotator.embeddings.xlm_roberta_embeddings module", "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings module", "sparknlp.annotator.embeddings.xlnet_embeddings module", "sparknlp.annotator.er package", "sparknlp.annotator.er.entity_ruler module", "sparknlp.annotator.graph_extraction module", "sparknlp.annotator.keyword_extraction package", "sparknlp.annotator.keyword_extraction.yake_keyword_extraction module", "sparknlp.annotator.ld_dl package", "sparknlp.annotator.ld_dl.language_detector_dl module", "sparknlp.annotator.lemmatizer module", "sparknlp.annotator.matcher package", "sparknlp.annotator.matcher.big_text_matcher module", "sparknlp.annotator.matcher.date_matcher module", "sparknlp.annotator.matcher.multi_date_matcher module", "sparknlp.annotator.matcher.regex_matcher module", "sparknlp.annotator.matcher.text_matcher module", "sparknlp.annotator.n_gram_generator module", "sparknlp.annotator.ner package", "sparknlp.annotator.ner.ner_approach module", "sparknlp.annotator.ner.ner_converter module", "sparknlp.annotator.ner.ner_crf module", "sparknlp.annotator.ner.ner_dl module", "sparknlp.annotator.ner.ner_dl_graph_checker module", "sparknlp.annotator.ner.ner_overwriter module", "sparknlp.annotator.ner.zero_shot_ner_model module", "sparknlp.annotator.normalizer module", "sparknlp.annotator.openai package", "sparknlp.annotator.openai.openai_completion module", "sparknlp.annotator.openai.openai_embeddings module", "sparknlp.annotator.param package", "sparknlp.annotator.param.classifier_encoder module", "sparknlp.annotator.param.evaluation_dl_params module", "sparknlp.annotator.pos package", "sparknlp.annotator.pos.perceptron module", "sparknlp.annotator.sentence package", "sparknlp.annotator.sentence.sentence_detector module", "sparknlp.annotator.sentence.sentence_detector_dl module", "sparknlp.annotator.sentiment package", "sparknlp.annotator.sentiment.sentiment_detector module", "sparknlp.annotator.sentiment.vivekn_sentiment module", "sparknlp.annotator.seq2seq package", "sparknlp.annotator.seq2seq.auto_gguf_model module", "sparknlp.annotator.seq2seq.auto_gguf_reranker module", "sparknlp.annotator.seq2seq.auto_gguf_vision_model module", "sparknlp.annotator.seq2seq.bart_transformer module", "sparknlp.annotator.seq2seq.cohere_transformer module", "sparknlp.annotator.seq2seq.cpm_transformer module", "sparknlp.annotator.seq2seq.gpt2_transformer module", "sparknlp.annotator.seq2seq.llama2_transformer module", "sparknlp.annotator.seq2seq.llama3_transformer module", "sparknlp.annotator.seq2seq.m2m100_transformer module", "sparknlp.annotator.seq2seq.marian_transformer module", "sparknlp.annotator.seq2seq.mistral_transformer module", "sparknlp.annotator.seq2seq.nllb_transformer module", "sparknlp.annotator.seq2seq.olmo_transformer module", "sparknlp.annotator.seq2seq.phi2_transformer module", "sparknlp.annotator.seq2seq.phi3_transformer module", "sparknlp.annotator.seq2seq.phi4_transformer module", "sparknlp.annotator.seq2seq.qwen_transformer module", "sparknlp.annotator.seq2seq.starcoder_transformer module", "sparknlp.annotator.seq2seq.t5_transformer module", "sparknlp.annotator.similarity package", "sparknlp.annotator.similarity.document_similarity_ranker module", "sparknlp.annotator.spell_check package", "sparknlp.annotator.spell_check.context_spell_checker module", "sparknlp.annotator.spell_check.norvig_sweeting module", "sparknlp.annotator.spell_check.symmetric_delete module", "sparknlp.annotator.stemmer module", "sparknlp.annotator.stop_words_cleaner module", "sparknlp.annotator.tf_ner_dl_graph_builder module", "sparknlp.annotator.token package", "sparknlp.annotator.token.chunk_tokenizer module", "sparknlp.annotator.token.recursive_tokenizer module", "sparknlp.annotator.token.regex_tokenizer module", "sparknlp.annotator.token.tokenizer module", "sparknlp.annotator.token2_chunk module", "sparknlp.annotator.ws package", "sparknlp.annotator.ws.word_segmenter module", "sparknlp.base package", "sparknlp.base.audio_assembler module", "sparknlp.base.doc2_chunk module", "sparknlp.base.document_assembler module", "sparknlp.base.embeddings_finisher module", "sparknlp.base.finisher module", "sparknlp.base.gguf_ranking_finisher module", "sparknlp.base.graph_finisher module", "sparknlp.base.has_recursive_fit module", "sparknlp.base.has_recursive_transform module", "sparknlp.base.image_assembler module", "sparknlp.base.light_pipeline module", "sparknlp.base.multi_document_assembler module", "sparknlp.base.prompt_assembler module", "sparknlp.base.recursive_pipeline module", "sparknlp.base.table_assembler module", "sparknlp.base.token_assembler module", "sparknlp.common package", "sparknlp.common.annotator_approach module", "sparknlp.common.annotator_model module", "sparknlp.common.annotator_properties module", "sparknlp.common.annotator_type module", "sparknlp.common.completion_post_processing module", "sparknlp.common.coverage_result module", "sparknlp.common.match_strategy module", "sparknlp.common.properties module", "sparknlp.common.read_as module", "sparknlp.common.recursive_annotator_approach module", "sparknlp.common.storage module", "sparknlp.common.utils module", "sparknlp.functions module", "sparknlp.internal package", "sparknlp.internal.annotator_java_ml module", "sparknlp.internal.annotator_transformer module", "sparknlp.internal.extended_java_wrapper module", "sparknlp.internal.params_getters_setters module", "sparknlp.internal.recursive module", "sparknlp.logging package", "sparknlp.logging.comet module", "sparknlp.partition package", "sparknlp.partition.partition module", "sparknlp.partition.partition_properties module", "sparknlp.partition.partition_transformer module", "sparknlp.pretrained package", "sparknlp.pretrained.pretrained_pipeline module", "sparknlp.pretrained.resource_downloader module", "sparknlp.pretrained.utils module", "sparknlp.reader package", "sparknlp.reader.enums module", "sparknlp.reader.pdf_to_text module", "sparknlp.reader.reader2doc module", "sparknlp.reader.reader2image module", "sparknlp.reader.reader2table module", "sparknlp.reader.reader_assembler module", "sparknlp.reader.sparknlp_reader module", "sparknlp.training package", "sparknlp.training.conll module", "sparknlp.training.conllu module", "sparknlp.training.pos module", "sparknlp.training.pub_tator module", "sparknlp.training.spacy_to_annotation module", "sparknlp.training.tfgraphs module", "sparknlp.upload_to_hub module", "sparknlp.util module", "Getting Started", "Spark NLP Documentation", "sparknlp.annotation", "sparknlp.annotation_audio", "sparknlp.annotation_image", "sparknlp.annotator.audio.hubert_for_ctc", "sparknlp.annotator.audio", "sparknlp.annotator.audio.wav2vec2_for_ctc", "sparknlp.annotator.audio.whisper_for_ctc", "sparknlp.annotator.chunk2_doc", "sparknlp.annotator.chunker", "sparknlp.annotator.classifier_dl.albert_for_multiple_choice", "sparknlp.annotator.classifier_dl.albert_for_question_answering", "sparknlp.annotator.classifier_dl.albert_for_sequence_classification", "sparknlp.annotator.classifier_dl.albert_for_token_classification", "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.bert_for_multiple_choice", "sparknlp.annotator.classifier_dl.bert_for_question_answering", "sparknlp.annotator.classifier_dl.bert_for_sequence_classification", "sparknlp.annotator.classifier_dl.bert_for_token_classification", "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.camembert_for_question_answering", "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification", "sparknlp.annotator.classifier_dl.camembert_for_token_classification", "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.classifier_dl", "sparknlp.annotator.classifier_dl.deberta_for_question_answering", "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification", "sparknlp.annotator.classifier_dl.deberta_for_token_classification", "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering", "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification", "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification", "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice", "sparknlp.annotator.classifier_dl", "sparknlp.annotator.classifier_dl.longformer_for_question_answering", "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification", "sparknlp.annotator.classifier_dl.longformer_for_token_classification", "sparknlp.annotator.classifier_dl.mpnet_for_question_answering", "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification", "sparknlp.annotator.classifier_dl.mpnet_for_token_classification", "sparknlp.annotator.classifier_dl.multi_classifier_dl", "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice", "sparknlp.annotator.classifier_dl.roberta_for_question_answering", "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification", "sparknlp.annotator.classifier_dl.roberta_for_token_classification", "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.sentiment_dl", "sparknlp.annotator.classifier_dl.tapas_for_question_answering", "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice", "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering", "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification", "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification", "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification", "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification", "sparknlp.annotator.classifier_dl.xlnet_for_token_classification", "sparknlp.annotator.cleaners.cleaner", "sparknlp.annotator.cleaners.extractor", "sparknlp.annotator.cleaners", "sparknlp.annotator.coref", "sparknlp.annotator.coref.spanbert_coref", "sparknlp.annotator.cv.blip_for_question_answering", "sparknlp.annotator.cv.clip_for_zero_shot_classification", "sparknlp.annotator.cv.convnext_for_image_classification", "sparknlp.annotator.cv.florence2_transformer", "sparknlp.annotator.cv.gemma3_for_multimodal", "sparknlp.annotator.cv", "sparknlp.annotator.cv.internvl_for_multimodal", "sparknlp.annotator.cv.janus_for_multimodal", "sparknlp.annotator.cv.llava_for_multimodal", "sparknlp.annotator.cv.mllama_for_multimodal", "sparknlp.annotator.cv.paligemma_for_multimodal", "sparknlp.annotator.cv.phi3_vision_for_multimodal", "sparknlp.annotator.cv.qwen2vl_transformer", "sparknlp.annotator.cv.smolvlm_transformer", "sparknlp.annotator.cv.swin_for_image_classification", "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning", "sparknlp.annotator.cv.vit_for_image_classification", "sparknlp.annotator.dataframe_optimizer", "sparknlp.annotator.date2_chunk", "sparknlp.annotator.dependency.dependency_parser", "sparknlp.annotator.dependency", "sparknlp.annotator.dependency.typed_dependency_parser", "sparknlp.annotator.document_character_text_splitter", "sparknlp.annotator.document_normalizer", "sparknlp.annotator.document_token_splitter", "sparknlp.annotator.document_token_splitter_test", "sparknlp.annotator.embeddings.albert_embeddings", "sparknlp.annotator.embeddings.auto_gguf_embeddings", "sparknlp.annotator.embeddings.bert_embeddings", "sparknlp.annotator.embeddings.bert_sentence_embeddings", "sparknlp.annotator.embeddings.bge_embeddings", "sparknlp.annotator.embeddings.camembert_embeddings", "sparknlp.annotator.embeddings.chunk_embeddings", "sparknlp.annotator.embeddings.deberta_embeddings", "sparknlp.annotator.embeddings.distil_bert_embeddings", "sparknlp.annotator.embeddings.doc2vec", "sparknlp.annotator.embeddings.e5_embeddings", "sparknlp.annotator.embeddings.e5v_embeddings", "sparknlp.annotator.embeddings.elmo_embeddings", "sparknlp.annotator.embeddings", "sparknlp.annotator.embeddings.instructor_embeddings", "sparknlp.annotator.embeddings.longformer_embeddings", "sparknlp.annotator.embeddings.minilm_embeddings", "sparknlp.annotator.embeddings.mpnet_embeddings", "sparknlp.annotator.embeddings.mxbai_embeddings", "sparknlp.annotator.embeddings.nomic_embeddings", "sparknlp.annotator.embeddings.roberta_embeddings", "sparknlp.annotator.embeddings.roberta_sentence_embeddings", "sparknlp.annotator.embeddings.sentence_embeddings", "sparknlp.annotator.embeddings.snowflake_embeddings", "sparknlp.annotator.embeddings.uae_embeddings", "sparknlp.annotator.embeddings.universal_sentence_encoder", "sparknlp.annotator.embeddings.word2vec", "sparknlp.annotator.embeddings.word_embeddings", "sparknlp.annotator.embeddings.xlm_roberta_embeddings", "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings", "sparknlp.annotator.embeddings.xlnet_embeddings", "sparknlp.annotator.er.entity_ruler", "sparknlp.annotator.er", "sparknlp.annotator.graph_extraction", "sparknlp.annotator", "sparknlp.annotator.keyword_extraction", "sparknlp.annotator.keyword_extraction.yake_keyword_extraction", "sparknlp.annotator.ld_dl", "sparknlp.annotator.ld_dl.language_detector_dl", "sparknlp.annotator.lemmatizer", "sparknlp.annotator.matcher.big_text_matcher", "sparknlp.annotator.matcher.date_matcher", "sparknlp.annotator.matcher", "sparknlp.annotator.matcher.multi_date_matcher", "sparknlp.annotator.matcher.regex_matcher", "sparknlp.annotator.matcher.text_matcher", "sparknlp.annotator.n_gram_generator", "sparknlp.annotator.ner", "sparknlp.annotator.ner.ner_approach", "sparknlp.annotator.ner.ner_converter", "sparknlp.annotator.ner.ner_crf", "sparknlp.annotator.ner.ner_dl", "sparknlp.annotator.ner.ner_dl_graph_checker", "sparknlp.annotator.ner.ner_overwriter", "sparknlp.annotator.ner.zero_shot_ner_model", "sparknlp.annotator.normalizer", "sparknlp.annotator.openai", "sparknlp.annotator.openai.openai_completion", "sparknlp.annotator.openai.openai_embeddings", "sparknlp.annotator.param.classifier_encoder", "sparknlp.annotator.param.evaluation_dl_params", "sparknlp.annotator.param", "sparknlp.annotator.pos", "sparknlp.annotator.pos.perceptron", "sparknlp.annotator.sentence", "sparknlp.annotator.sentence.sentence_detector", "sparknlp.annotator.sentence.sentence_detector_dl", "sparknlp.annotator.sentiment", "sparknlp.annotator.sentiment.sentiment_detector", "sparknlp.annotator.sentiment.vivekn_sentiment", "sparknlp.annotator.seq2seq.auto_gguf_model", "sparknlp.annotator.seq2seq.auto_gguf_reranker", "sparknlp.annotator.seq2seq.auto_gguf_vision_model", "sparknlp.annotator.seq2seq.bart_transformer", "sparknlp.annotator.seq2seq.cohere_transformer", "sparknlp.annotator.seq2seq.cpm_transformer", "sparknlp.annotator.seq2seq.gpt2_transformer", "sparknlp.annotator.seq2seq", "sparknlp.annotator.seq2seq.llama2_transformer", "sparknlp.annotator.seq2seq.llama3_transformer", "sparknlp.annotator.seq2seq.m2m100_transformer", "sparknlp.annotator.seq2seq.marian_transformer", "sparknlp.annotator.seq2seq.mistral_transformer", "sparknlp.annotator.seq2seq.nllb_transformer", "sparknlp.annotator.seq2seq.olmo_transformer", "sparknlp.annotator.seq2seq.phi2_transformer", "sparknlp.annotator.seq2seq.phi3_transformer", "sparknlp.annotator.seq2seq.phi4_transformer", "sparknlp.annotator.seq2seq.qwen_transformer", "sparknlp.annotator.seq2seq.starcoder_transformer", "sparknlp.annotator.seq2seq.t5_transformer", "sparknlp.annotator.similarity.document_similarity_ranker", "sparknlp.annotator.similarity", "sparknlp.annotator.spell_check.context_spell_checker", "sparknlp.annotator.spell_check", "sparknlp.annotator.spell_check.norvig_sweeting", "sparknlp.annotator.spell_check.symmetric_delete", "sparknlp.annotator.stemmer", "sparknlp.annotator.stop_words_cleaner", "sparknlp.annotator.tf_ner_dl_graph_builder", "sparknlp.annotator.token.chunk_tokenizer", "sparknlp.annotator.token", "sparknlp.annotator.token.recursive_tokenizer", "sparknlp.annotator.token.regex_tokenizer", "sparknlp.annotator.token.tokenizer", "sparknlp.annotator.token2_chunk", "sparknlp.annotator.ws", "sparknlp.annotator.ws.word_segmenter", "sparknlp.base.audio_assembler", "sparknlp.base.doc2_chunk", "sparknlp.base.document_assembler", "sparknlp.base.embeddings_finisher", "sparknlp.base.finisher", "sparknlp.base.gguf_ranking_finisher", "sparknlp.base.graph_finisher", "sparknlp.base.has_recursive_fit", "sparknlp.base.has_recursive_transform", "sparknlp.base.image_assembler", "sparknlp.base", "sparknlp.base.light_pipeline", "sparknlp.base.multi_document_assembler", "sparknlp.base.prompt_assembler", "sparknlp.base.recursive_pipeline", "sparknlp.base.table_assembler", "sparknlp.base.token_assembler", "sparknlp.common.annotator_approach", "sparknlp.common.annotator_model", "sparknlp.common.annotator_properties", "sparknlp.common.annotator_type", "sparknlp.common.completion_post_processing", "sparknlp.common.coverage_result", "sparknlp.common", "sparknlp.common.match_strategy", "sparknlp.common.properties", "sparknlp.common.read_as", "sparknlp.common.recursive_annotator_approach", "sparknlp.common.storage", "sparknlp.common.utils", "sparknlp.functions", "sparknlp", "sparknlp.internal.annotator_java_ml", "sparknlp.internal.annotator_transformer", "sparknlp.internal.extended_java_wrapper", "sparknlp.internal", "sparknlp.internal.params_getters_setters", "sparknlp.internal.recursive", "sparknlp.logging.comet", "sparknlp.logging", "sparknlp.partition", "sparknlp.partition.partition", "sparknlp.partition.partition_properties", "sparknlp.partition.partition_transformer", "sparknlp.pretrained", "sparknlp.pretrained.pretrained_pipeline", "sparknlp.pretrained.resource_downloader", "sparknlp.pretrained.utils", "sparknlp.reader.enums", "sparknlp.reader", "sparknlp.reader.pdf_to_text", "sparknlp.reader.reader2doc", "sparknlp.reader.reader2image", "sparknlp.reader.reader2table", "sparknlp.reader.reader_assembler", "sparknlp.reader.sparknlp_reader", "sparknlp.training.conll", "sparknlp.training.conllu", "sparknlp.training", "sparknlp.training.pos", "sparknlp.training.pub_tator", "sparknlp.training.spacy_to_annotation", "sparknlp.training.tfgraphs", "sparknlp.upload_to_hub", "sparknlp.util", "API Reference", "Comet - A meta machine learning platform", "MLflow - a platform for the machine learning lifecycle", "Third Party Projects", "Annotation", "Annotators", "Setting up your own pipeline", "Helper Functions", "User Guide", "Light Pipelines", "Pretrained Pipelines", "Loading datasets for training"], "terms": {"6": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534], "2": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534], "0": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534], "3": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534], "4": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534], "packag": [0, 91, 92, 95, 98, 160, 161, 162, 235, 261, 350, 351, 354, 357, 420, 421, 422, 496, 525, 526], "subpackag": 0, "annot": [0, 1, 3, 4, 197, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 222, 226, 227, 228, 229, 230, 233, 235, 237, 239, 240, 241, 242, 243, 247, 248, 250, 255, 257, 262, 264, 265, 458, 459, 460, 461, 462, 463, 464, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 481, 483, 487, 488, 489, 490, 491, 493, 495, 496, 499, 501, 503, 504, 505, 509, 510, 512, 517, 519, 524, 525, 530, 531, 532, 533, 534], "submodul": 0, "modul": [0, 262, 297, 344, 363, 382, 384, 385, 387, 392, 397, 406, 411, 412, 414, 417, 427, 444, 451, 456, 468, 481, 493, 498, 502, 507, 516], "content": [0, 65, 71, 72, 73, 74, 75, 76, 77, 98, 117, 158, 199, 210, 237, 238, 239, 246, 247, 248, 250, 251, 255, 527, 533], "base": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 229, 230, 231, 232, 233, 235, 237, 238, 239, 241, 242, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 257, 259, 260, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 475, 476, 477, 481, 483, 485, 489, 491, 495, 496, 509, 511, 512, 524, 528, 529, 532], "common": [0, 1, 50, 114, 122, 131, 146, 147, 174, 175, 178, 190, 199, 281, 310, 351, 374, 381, 391, 402, 407, 408, 435, 436, 439, 450, 459, 489, 531], "intern": [0, 1, 103, 175, 179, 183, 193, 196, 212, 250, 362, 409, 410, 436, 440, 443, 454, 457, 473, 477, 483, 489, 500, 512], "log": [0, 1, 28, 44, 50, 140, 146, 150, 155, 166, 173, 222, 262, 287, 304, 310, 401, 407, 410, 416, 426, 434, 483, 489], "partit": [0, 1, 81, 100, 116, 246, 253, 341, 359, 376, 489, 508, 514], "pretrain": [0, 1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 83, 84, 85, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 126, 127, 128, 129, 130, 131, 133, 134, 136, 139, 140, 141, 142, 143, 151, 152, 153, 155, 156, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 187, 189, 193, 195, 196, 201, 202, 203, 208, 227, 235, 262, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 391, 394, 395, 400, 401, 402, 403, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 454, 457, 461, 462, 463, 469, 488, 489, 496, 524, 527, 531], "reader": [0, 1, 237, 242, 489, 499, 504], "train": [0, 1, 7, 9, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 66, 67, 70, 71, 78, 80, 84, 85, 91, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 106, 107, 109, 110, 111, 113, 115, 116, 118, 119, 120, 125, 127, 128, 130, 133, 134, 137, 139, 140, 141, 144, 149, 150, 152, 155, 157, 158, 163, 166, 167, 168, 169, 170, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 190, 191, 196, 199, 208, 222, 225, 235, 241, 262, 266, 269, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 325, 326, 330, 331, 338, 340, 343, 345, 350, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 366, 367, 369, 370, 371, 373, 375, 376, 378, 379, 380, 386, 388, 389, 390, 394, 395, 398, 400, 401, 402, 405, 409, 410, 413, 416, 418, 419, 423, 426, 428, 429, 430, 431, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 450, 452, 457, 459, 469, 483, 486, 489, 496, 503, 524, 528, 529, 531, 532], "annotation_audio": [0, 1, 489], "annotationaudio": [0, 1, 3, 264], "annotation_imag": [0, 1, 489], "annotationimag": [0, 1, 4, 162, 208, 241, 265, 422, 469, 503], "function": [0, 1, 69, 70, 71, 73, 77, 87, 103, 114, 117, 162, 163, 179, 201, 210, 242, 262, 328, 330, 331, 333, 337, 347, 362, 374, 377, 422, 423, 440, 461, 471, 504, 523, 531], "explode_annotations_col": [0, 1, 227, 488], "filter_by_annotations_col": [0, 1, 227, 488], "map_annot": [0, 1, 227, 488], "map_annotations_arrai": [0, 1, 227, 488], "map_annotations_col": [0, 1, 227, 488], "map_annotations_strict": [0, 1, 227, 488], "upload_to_hub": [0, 1, 489], "pushtohub": [0, 1, 259, 521], "util": [0, 1, 7, 71, 97, 102, 139, 143, 154, 155, 171, 177, 185, 211, 214, 220, 223, 225, 229, 232, 240, 266, 331, 356, 361, 400, 404, 415, 416, 432, 438, 446, 472, 480, 481, 484, 486, 489, 490, 494, 502], "conllgener": [0, 1, 260, 522], "embeddingsdataframeutil": [0, 1, 102, 260, 361, 522], "get_config_path": [0, 1, 260, 522], "read": [0, 1, 28, 50, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 88, 100, 116, 125, 128, 130, 131, 132, 133, 134, 139, 143, 144, 150, 155, 157, 166, 183, 184, 185, 193, 196, 198, 200, 207, 209, 223, 225, 226, 228, 229, 235, 236, 237, 238, 239, 242, 244, 246, 247, 248, 251, 253, 254, 255, 256, 287, 310, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 346, 348, 359, 376, 386, 389, 390, 391, 393, 394, 395, 400, 404, 405, 410, 416, 418, 426, 443, 445, 446, 454, 457, 458, 460, 467, 470, 484, 486, 487, 489, 490, 496, 498, 499, 500, 501, 504, 507, 508, 509, 510, 513, 514, 515, 517, 518, 524, 528, 534], "start": [0, 1, 7, 14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 105, 123, 125, 139, 140, 155, 160, 161, 162, 199, 222, 235, 262, 266, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 365, 383, 386, 400, 401, 416, 420, 421, 422, 459, 483, 489, 496, 524, 527, 529, 532, 533], "version": [0, 1, 9, 87, 95, 99, 101, 106, 107, 168, 175, 177, 210, 233, 241, 242, 261, 269, 347, 354, 358, 360, 366, 367, 409, 410, 429, 436, 438, 449, 471, 477, 483, 489, 494, 495, 500, 503, 504, 528, 533], "audio": [1, 3, 5, 198, 214, 218, 235, 264, 384, 458, 478, 489, 496], "classifier_dl": [1, 5, 384, 489], "cleaner": [1, 5, 87, 384, 489], "coref": [1, 5, 384, 489], "cv": [1, 5, 384, 489], "depend": [1, 2, 5, 63, 96, 107, 112, 120, 122, 123, 125, 127, 140, 170, 183, 196, 214, 218, 222, 259, 261, 263, 319, 323, 355, 367, 372, 380, 381, 383, 384, 386, 388, 401, 431, 443, 457, 478, 483, 489, 521], "embed": [1, 2, 5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 69, 70, 74, 77, 123, 139, 140, 141, 142, 147, 160, 161, 165, 181, 200, 201, 202, 208, 209, 214, 222, 227, 233, 241, 259, 260, 263, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 328, 330, 334, 337, 383, 384, 400, 401, 402, 403, 408, 420, 421, 425, 441, 460, 461, 462, 469, 470, 483, 488, 489, 495, 503, 522, 527], "er": [1, 5, 384, 489], "keyword_extract": [1, 5, 384, 489], "ld_dl": [1, 5, 384, 489], "matcher": [1, 5, 384, 489], "ner": [1, 5, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 118, 119, 123, 190, 208, 227, 235, 241, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318, 378, 379, 383, 384, 450, 469, 488, 489, 496, 503, 524], "openai": [1, 5, 109, 166, 369, 384, 426, 489], "param": [1, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 219, 222, 225, 232, 233, 237, 238, 239, 246, 247, 248, 250, 251, 257, 320, 384, 400, 441, 476, 477, 483, 489, 494, 495, 499, 500, 513, 519], "po": [1, 2, 5, 11, 15, 18, 21, 23, 25, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 84, 85, 123, 136, 139, 140, 191, 196, 208, 214, 218, 227, 241, 252, 253, 263, 271, 274, 277, 280, 282, 284, 289, 291, 293, 295, 299, 307, 309, 314, 316, 317, 343, 345, 383, 384, 400, 401, 452, 457, 469, 478, 488, 489, 503, 514, 516, 527, 531, 532, 533], "sentenc": [1, 5, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 82, 84, 85, 87, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 147, 152, 158, 163, 170, 179, 181, 183, 187, 190, 192, 194, 196, 200, 202, 208, 209, 212, 213, 222, 238, 241, 253, 254, 255, 256, 257, 259, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 328, 330, 331, 332, 333, 334, 335, 336, 337, 342, 343, 345, 347, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 408, 413, 419, 423, 431, 440, 441, 443, 448, 450, 453, 455, 457, 460, 462, 469, 470, 473, 474, 483, 489, 500, 503, 514, 515, 517, 518, 519, 528, 532, 533], "sentiment": [1, 2, 5, 28, 44, 50, 103, 120, 179, 214, 218, 259, 263, 287, 304, 310, 362, 380, 384, 440, 478, 489, 521, 528, 529], "seq2seq": [1, 5, 384, 489], "similar": [1, 5, 66, 91, 104, 114, 115, 125, 127, 162, 178, 325, 350, 364, 374, 375, 384, 386, 388, 422, 439, 489], "spell_check": [1, 5, 384, 489], "token": [1, 2, 5, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 84, 85, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 118, 119, 120, 122, 123, 125, 128, 129, 130, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 149, 150, 152, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 188, 194, 196, 199, 201, 208, 211, 213, 214, 218, 222, 241, 253, 256, 257, 259, 263, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 343, 345, 348, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 376, 377, 378, 379, 380, 381, 383, 384, 386, 389, 390, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 410, 413, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 455, 457, 459, 461, 469, 472, 474, 478, 483, 489, 503, 514, 518, 519, 521, 528, 532, 533], "w": [1, 5, 122, 133, 139, 144, 191, 193, 381, 384, 394, 400, 405, 452, 454, 489], "chunk2_doc": [1, 5, 384, 489], "chunk2doc": [1, 5, 10, 199, 270, 459], "chunker": [1, 5, 97, 356, 384, 489], "dataframe_optim": [1, 5, 384, 489], "dataframeoptim": [1, 5, 81, 341], "tostringdict": [1, 5, 81, 341], "date2_chunk": [1, 5, 384, 489], "date2chunk": [1, 5, 82, 342], "document_character_text_splitt": [1, 5, 384, 489], "documentcharactertextsplitt": [1, 5, 86, 346], "document_norm": [1, 5, 384, 489], "documentnorm": [1, 5, 86, 87, 88, 346, 347, 348], "document_token_splitt": [1, 5, 384, 489], "documenttokensplitt": [1, 5, 88, 348], "document_token_splitter_test": [1, 5, 384, 489], "graph_extract": [1, 5, 384, 489], "graphextract": [1, 5, 123, 204, 383, 464], "lemmat": [1, 5, 157, 187, 211, 213, 259, 384, 418, 448, 472, 474, 489], "lemmatizermodel": [1, 5, 128, 389], "n_gram_gener": [1, 5, 384, 489], "ngramgener": [1, 5, 97, 135, 356, 396], "normal": [1, 5, 28, 67, 78, 79, 80, 87, 130, 155, 158, 187, 201, 203, 211, 213, 222, 238, 287, 326, 338, 339, 340, 347, 384, 390, 416, 419, 448, 461, 463, 472, 474, 483, 489, 500, 528, 529], "normalizermodel": [1, 5, 144, 405], "stemmer": [1, 5, 187, 384, 448, 489], "stop_words_clean": [1, 5, 384, 489], "stopwordsclean": [1, 5, 187, 201, 213, 448, 461, 474], "tf_ner_dl_graph_build": [1, 5, 384, 489], "tfnerdlgraphbuild": [1, 5, 188, 449], "tfnerdlgraphbuildermodel": [1, 5, 188, 449], "token2_chunk": [1, 5, 384, 489], "token2chunk": [1, 5, 194, 455], "audio_assembl": [1, 7, 8, 9, 197, 266, 268, 269, 468, 489], "audioassembl": [1, 7, 8, 9, 197, 198, 266, 268, 269, 458], "doc2_chunk": [1, 197, 468, 489], "doc2chunk": [1, 10, 197, 199, 270, 459], "document_assembl": [1, 51, 143, 181, 197, 212, 311, 404, 441, 468, 473, 489], "documentassembl": [1, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 199, 200, 201, 203, 209, 211, 212, 213, 235, 239, 247, 253, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 323, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 460, 461, 463, 470, 472, 473, 474, 496, 501, 509, 514, 524, 528], "embeddings_finish": [1, 197, 468, 489], "embeddingsfinish": [1, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 197, 201, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 461], "finish": [1, 158, 181, 197, 201, 203, 204, 209, 211, 419, 441, 461, 463, 464, 468, 472, 489], "gguf_ranking_finish": [1, 197, 468, 489], "ggufrankingfinish": [1, 197, 203, 463], "graph_finish": [1, 197, 468, 489], "graphfinish": [1, 123, 197, 204, 383, 464], "has_recursive_fit": [1, 197, 468, 489], "hasrecursivefit": [1, 197, 205, 206, 465, 466], "has_recursive_transform": [1, 197, 468, 489], "hasrecursivetransform": [1, 197, 206, 466], "image_assembl": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 162, 197, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 361, 422, 468, 489], "imageassembl": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 162, 197, 207, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 361, 422, 467], "light_pipelin": [1, 197, 468, 489], "lightpipelin": [1, 197, 208, 241, 469, 503, 532], "multi_document_assembl": [1, 197, 468, 489], "multidocumentassembl": [1, 13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 197, 209, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 311, 312, 313, 470], "prompt_assembl": [1, 197, 468, 489], "promptassembl": [1, 197, 210, 471], "recursive_pipelin": [1, 197, 233, 468, 489, 495], "recursivepipelin": [1, 197, 205, 206, 211, 217, 465, 466, 472, 477], "recursivepipelinemodel": [1, 197, 211, 472], "table_assembl": [1, 51, 197, 311, 468, 489], "tableassembl": [1, 51, 197, 212, 311, 473], "token_assembl": [1, 197, 468, 489], "tokenassembl": [1, 197, 213, 474], "annotator_approach": [1, 214, 481, 489], "annotatorapproach": [1, 28, 44, 50, 84, 85, 100, 116, 117, 122, 128, 130, 133, 134, 139, 140, 144, 152, 155, 157, 158, 181, 183, 184, 185, 191, 193, 196, 214, 215, 224, 235, 475, 485, 496], "annotator_model": [1, 214, 481, 489], "annotatormodel": [1, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 191, 192, 193, 194, 196, 208, 212, 214, 216, 217, 239, 242, 469, 476, 504], "annotator_properti": [1, 214, 481, 489], "annotatorproperti": [1, 10, 199, 213, 214, 215, 216, 217, 224, 477], "annotator_typ": [1, 2, 3, 4, 214, 263, 264, 265, 481, 489], "annotatortyp": [1, 2, 3, 4, 22, 97, 135, 199, 200, 207, 209, 214, 218, 227, 248, 263, 264, 265, 281, 356, 396, 459, 460, 467, 470, 478, 510, 527], "completion_post_process": [1, 214, 481, 489], "completionpostprocess": [1, 160, 162, 214, 219, 479], "coverage_result": [1, 214, 481, 489], "coverageresult": [1, 117, 214, 220, 377, 480], "match_strategi": [1, 214, 481, 489], "matchstrategi": [1, 131, 214, 221, 391, 482], "properti": [1, 91, 175, 205, 206, 214, 217, 238, 350, 436, 465, 466, 477, 481, 489, 500], "hasaudiofeatureproperti": [1, 7, 8, 9, 214, 222, 483], "hasbatchedannot": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 91, 92, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 140, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 483], "hasbatchedannotateaudio": [1, 7, 8, 9, 214, 222, 483], "hasbatchedannotateimag": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 214, 222, 483], "hascandidatelabelsproperti": [1, 17, 18, 23, 27, 32, 36, 49, 56, 65, 66, 71, 72, 73, 74, 75, 76, 77, 214, 222, 483], "hascasesensitiveproperti": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 63, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 214, 222, 225, 483], "hasclassifieractivationproperti": [1, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 214, 222, 483], "hasclstokenproperti": [1, 95, 214, 222, 483], "hasembeddingsproperti": [1, 63, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 141, 181, 214, 222, 402, 483], "hasenablecachingproperti": [1, 100, 116, 181, 214, 222, 483], "hasengin": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 94, 96, 98, 99, 102, 103, 105, 110, 111, 115, 118, 119, 120, 127, 140, 143, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 214, 222, 483], "hasgeneratorproperti": [1, 9, 69, 70, 79, 214, 222, 483], "hasimagefeatureproperti": [1, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 214, 222, 483], "hasllamacppproperti": [1, 160, 161, 162, 214, 222, 483], "haslongmaxsentencelengthlimit": [1, 38, 39, 40, 105, 214, 222, 483], "hasmaxsentencelengthlimit": [1, 13, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 41, 42, 43, 45, 46, 47, 52, 53, 54, 55, 57, 58, 63, 91, 93, 94, 95, 96, 98, 99, 101, 104, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 214, 222, 483], "hasrescalefactor": [1, 65, 66, 71, 72, 73, 74, 75, 76, 77, 78, 79, 102, 214, 222, 483], "read_a": [1, 84, 85, 122, 128, 130, 133, 134, 139, 144, 150, 157, 184, 185, 193, 214, 225, 226, 253, 254, 343, 345, 381, 389, 390, 394, 395, 400, 405, 410, 418, 445, 446, 454, 481, 486, 487, 489, 514, 515], "reada": [1, 84, 85, 117, 122, 128, 130, 133, 134, 139, 144, 150, 157, 184, 185, 190, 193, 214, 223, 225, 226, 253, 254, 343, 345, 377, 381, 389, 390, 394, 395, 400, 405, 410, 418, 445, 446, 450, 454, 484, 486, 487, 514, 515], "recursive_annotator_approach": [1, 214, 481, 489], "recursiveannotatorapproach": [1, 214, 224, 485], "storag": [1, 117, 122, 130, 214, 377, 381, 390, 481, 489], "hasstorag": [1, 117, 122, 130, 214, 225, 486], "hasstoragemodel": [1, 117, 122, 130, 214, 225, 486], "hasstorageopt": [1, 214, 225, 486], "hasstorageref": [1, 28, 44, 50, 63, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 127, 140, 214, 225, 486], "externalresourc": [1, 130, 134, 214, 226, 390, 395, 487], "regexrul": [1, 214, 226, 487], "annotator_java_ml": [1, 228, 489, 493], "annotatorjavamlread": [1, 215, 216, 224, 228, 229, 230, 490], "annotator_transform": [1, 228, 489, 493], "annotatortransform": [1, 10, 181, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 213, 228, 230, 247, 248, 249, 250, 491], "extended_java_wrapp": [1, 228, 489, 493], "extendedjavawrapp": [1, 228, 231, 237, 251, 253, 254, 255, 256, 257, 492], "params_getters_sett": [1, 228, 489, 493], "paramsgetterssett": [1, 141, 149, 150, 215, 216, 224, 228, 230, 232, 494], "recurs": [1, 191, 211, 224, 228, 452, 472, 485, 489, 493], "recursiveestim": [1, 205, 224, 228, 233, 495], "recursivetransform": [1, 206, 228, 233, 495], "comet": [1, 234, 489, 497, 526], "cometlogg": [1, 234, 235, 496, 524], "partition_properti": [1, 236, 489, 498], "haschunkerproperti": [1, 236, 238, 239, 500], "hasemailreaderproperti": [1, 236, 238, 239, 247, 249, 250, 500], "hasexcelreaderproperti": [1, 236, 238, 239, 247, 249, 250, 500], "hashtmlreaderproperti": [1, 236, 238, 239, 247, 248, 249, 250, 500], "haspdfproperti": [1, 236, 238, 248, 250, 500], "haspowerpointproperti": [1, 236, 238, 239, 247, 249, 250, 500], "hasreaderproperti": [1, 236, 238, 247, 248, 249, 250, 500], "hastextreaderproperti": [1, 236, 238, 239, 247, 249, 250, 500], "partition_transform": [1, 236, 489, 498], "partitiontransform": [1, 236, 239, 501], "pretrained_pipelin": [1, 240, 489, 502], "pretrainedpipelin": [1, 10, 202, 208, 227, 240, 241, 270, 462, 469, 488, 503, 527, 532, 533], "resource_download": [1, 240, 489, 502], "resourcedownload": [1, 240, 242, 504, 528, 533], "printprogress": [1, 240, 243, 505], "enum": [1, 244, 489, 507], "textstrippertyp": [1, 244, 245, 246, 506, 508], "pdf_to_text": [1, 244, 489, 507], "pdftotext": [1, 244, 246, 508], "reader2doc": [1, 244, 250, 489, 507, 512], "reader2imag": [1, 244, 250, 489, 507, 512], "reader2t": [1, 244, 250, 489, 507, 512], "reader_assembl": [1, 244, 489, 507], "readerassembl": [1, 244, 250, 512], "sparknlp_read": [1, 244, 489, 507], "sparknlpread": [1, 244, 251, 513], "conll": [1, 84, 85, 139, 140, 141, 252, 254, 343, 345, 400, 401, 402, 489, 515, 516, 531], "conllu": [1, 83, 84, 85, 128, 252, 343, 345, 389, 489, 516, 531], "pub_tat": [1, 252, 489, 516], "pubtat": [1, 252, 256, 518, 531], "spacy_to_annot": [1, 252, 489, 516], "spacytoannot": [1, 252, 257, 519], "tfgraph": [1, 252, 489, 516], "arraytyp": [1, 2, 199, 227, 263, 459, 488], "copi": [1, 2, 3, 4, 242, 263, 264, 265, 504], "datatyp": [1, 2, 227, 263, 488], "fromrow": [1, 2, 263], "torow": [1, 2, 263], "check_for_required_info": [1, 259, 521], "create_doc": [1, 259, 521], "list_of_task": [1, 259, 521], "push_to_hub": [1, 259, 521], "unzip_directori": [1, 259, 521], "zip_directori": [1, 259, 521], "exportconllfil": [1, 260, 522], "emptyimagerow": [1, 102, 260, 361, 522], "imageschema": [1, 102, 260, 361, 522], "none": [1, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 193, 194, 196, 198, 200, 201, 202, 204, 205, 206, 207, 208, 209, 210, 212, 216, 217, 222, 230, 233, 235, 237, 239, 241, 242, 251, 257, 259, 266, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 394, 395, 400, 401, 402, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 454, 455, 457, 458, 460, 461, 462, 464, 465, 466, 467, 469, 470, 471, 473, 476, 477, 483, 489, 491, 492, 495, 496, 499, 501, 503, 504, 513, 519, 521, 529], "sourc": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 235, 237, 238, 239, 241, 242, 243, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 257, 259, 260, 261, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 494, 495, 496, 499, 500, 501, 503, 504, 505, 506, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 522, 525], "gpu": [1, 79, 91, 92, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 222, 319, 339, 350, 351, 420, 421, 422, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 483, 489], "fals": [1, 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 204, 208, 209, 210, 212, 213, 222, 227, 235, 238, 241, 246, 247, 248, 250, 251, 253, 254, 255, 257, 263, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 460, 461, 462, 463, 464, 469, 470, 471, 473, 474, 483, 488, 489, 496, 500, 503, 508, 509, 510, 512, 513, 514, 515, 517, 519, 524, 527, 528, 529, 534], "apple_silicon": [1, 489], "aarch64": [1, 489], "memori": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 92, 103, 117, 160, 161, 162, 222, 225, 237, 239, 261, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 350, 351, 362, 377, 420, 421, 422, 483, 486, 489, 499, 501], "16g": [1, 261, 489], "cache_fold": [1, 489], "log_fold": [1, 489], "cluster_tmp_dir": [1, 489], "real_time_output": [1, 489], "output_level": [1, 489], "1": [1, 7, 9, 10, 11, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 36, 38, 39, 42, 44, 46, 47, 49, 50, 53, 54, 56, 57, 63, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 82, 84, 85, 88, 91, 92, 93, 94, 95, 98, 100, 103, 104, 111, 116, 117, 118, 119, 120, 125, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 143, 146, 147, 150, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 192, 196, 201, 202, 203, 210, 222, 233, 235, 241, 242, 247, 251, 253, 254, 256, 257, 261, 266, 269, 270, 271, 274, 276, 277, 280, 282, 284, 286, 287, 289, 291, 293, 295, 299, 302, 304, 307, 309, 310, 314, 316, 317, 319, 323, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 343, 345, 348, 350, 351, 352, 353, 354, 357, 359, 362, 364, 371, 376, 377, 378, 379, 380, 386, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 404, 407, 408, 409, 410, 415, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 449, 453, 457, 461, 462, 463, 471, 477, 483, 489, 494, 495, 496, 500, 503, 504, 509, 513, 514, 515, 518, 519, 524, 527, 528, 532, 533], "pyspark": [1, 2, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 203, 207, 208, 209, 212, 213, 225, 227, 231, 233, 235, 237, 241, 246, 247, 250, 251, 253, 254, 255, 256, 261, 263, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 463, 467, 469, 470, 473, 474, 486, 488, 489, 492, 495, 496, 499, 503, 508, 509, 512, 513, 514, 515, 517, 518, 528, 529], "instanc": [1, 44, 143, 161, 229, 304, 349, 404, 409, 410, 421, 477, 483, 489, 490, 494, 500], "default": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 191, 192, 193, 196, 199, 200, 201, 202, 203, 204, 207, 208, 209, 212, 217, 222, 226, 227, 235, 238, 241, 242, 246, 247, 250, 253, 254, 255, 256, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 449, 452, 453, 454, 457, 459, 460, 461, 462, 463, 464, 467, 469, 470, 473, 483, 487, 488, 489, 496, 503, 504, 508, 509, 512, 514, 515, 517, 518, 528], "paramet": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 222, 225, 226, 227, 232, 233, 235, 237, 238, 239, 241, 242, 246, 247, 248, 250, 251, 253, 254, 255, 256, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 477, 483, 486, 487, 488, 489, 494, 495, 496, 499, 500, 501, 503, 504, 508, 509, 510, 512, 513, 514, 515, 517, 518], "spark": [1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 213, 214, 223, 225, 227, 228, 230, 231, 235, 237, 239, 241, 242, 246, 247, 248, 250, 251, 253, 254, 255, 256, 257, 260, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 404, 405, 407, 408, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 466, 467, 468, 469, 470, 471, 472, 473, 474, 481, 484, 486, 488, 489, 491, 492, 493, 496, 499, 501, 503, 504, 508, 509, 510, 512, 513, 514, 515, 517, 518, 519, 522, 523, 525, 526, 527, 528, 530, 531, 532, 534], "nlp": [1, 2, 3, 4, 5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 87, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 142, 143, 144, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 197, 199, 200, 201, 202, 207, 208, 209, 211, 212, 213, 214, 228, 235, 237, 239, 241, 242, 247, 248, 250, 253, 254, 255, 256, 263, 264, 265, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 347, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 388, 389, 390, 394, 395, 400, 401, 402, 403, 404, 405, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 454, 457, 459, 460, 461, 462, 467, 468, 469, 470, 472, 473, 474, 481, 489, 493, 496, 499, 501, 503, 504, 509, 510, 512, 514, 515, 517, 518, 523, 525, 526, 527, 528, 529, 530, 531, 532, 534], "The": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 138, 139, 140, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 192, 193, 196, 200, 202, 203, 207, 208, 209, 210, 212, 222, 225, 227, 235, 237, 239, 241, 242, 247, 248, 250, 253, 254, 255, 256, 257, 259, 263, 264, 265, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 348, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 399, 400, 401, 403, 404, 405, 407, 408, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 453, 454, 457, 460, 462, 463, 467, 469, 470, 471, 473, 483, 486, 488, 489, 496, 499, 501, 503, 504, 509, 510, 512, 514, 515, 517, 518, 519, 521, 524, 527, 528, 529, 531, 532, 534], "would": [1, 28, 63, 86, 97, 112, 131, 155, 287, 323, 346, 356, 372, 391, 416, 489, 528], "result": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 222, 227, 235, 241, 247, 248, 253, 254, 257, 259, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 483, 488, 489, 496, 503, 509, 510, 514, 515, 519, 521, 524, 525, 527, 528, 529, 532, 533], "equival": [1, 17, 18, 23, 27, 32, 36, 49, 56, 208, 276, 277, 282, 286, 291, 295, 309, 316, 469, 489, 532], "sparksess": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 130, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 207, 225, 253, 254, 255, 256, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 377, 378, 379, 380, 390, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 467, 486, 489, 514, 515, 517, 518], "builder": [1, 188, 261, 449, 489], "appnam": [1, 261, 489], "master": [1, 261, 489], "local": [1, 5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 125, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 187, 208, 222, 241, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 386, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 448, 469, 483, 489, 503, 532], "config": [1, 261, 489, 525], "driver": [1, 162, 261, 422, 489], "serial": [1, 7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 122, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 261, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 381, 388, 401, 409, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 489], "org": [1, 69, 70, 71, 72, 73, 74, 75, 76, 77, 138, 139, 140, 142, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 196, 208, 222, 227, 237, 241, 251, 253, 261, 399, 400, 401, 403, 423, 457, 469, 488, 489, 499, 503, 513, 514, 525, 534], "apach": [1, 109, 171, 209, 261, 369, 432, 470, 489], "kryoseri": [1, 261, 489], "buffer": [1, 94, 117, 261, 353, 377, 489], "max": [1, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 72, 74, 75, 76, 91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 125, 181, 185, 203, 222, 237, 261, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 332, 334, 335, 336, 350, 352, 353, 354, 355, 357, 358, 360, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 386, 441, 446, 463, 483, 489, 499], "2000m": [1, 261, 489], "maxresults": [1, 261, 489], "jar": [1, 261, 489], "com": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 212, 237, 239, 251, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 394, 395, 400, 401, 402, 404, 405, 407, 408, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 454, 457, 473, 489, 499, 501, 513], "johnsnowlab": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 87, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 201, 202, 212, 239, 247, 250, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 347, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 394, 395, 400, 401, 402, 404, 405, 407, 408, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 454, 457, 461, 462, 473, 489, 501, 509, 512], "nlp_2": [1, 261, 489], "12": [1, 91, 118, 119, 120, 125, 131, 132, 138, 152, 183, 194, 208, 227, 241, 255, 257, 261, 350, 378, 379, 380, 386, 391, 393, 399, 413, 443, 455, 469, 488, 489, 503, 517, 519, 527], "releas": [1, 9, 87, 91, 95, 96, 98, 109, 110, 111, 118, 119, 163, 164, 167, 168, 171, 173, 174, 177, 178, 179, 269, 347, 350, 354, 355, 357, 369, 370, 371, 378, 379, 423, 424, 428, 429, 432, 434, 435, 438, 439, 440, 489], "getorcr": [1, 261, 489], "bool": [1, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 60, 69, 70, 71, 72, 73, 74, 75, 76, 77, 81, 86, 87, 88, 92, 93, 94, 97, 101, 102, 106, 110, 115, 118, 122, 123, 127, 130, 131, 134, 135, 138, 139, 140, 144, 150, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 187, 192, 193, 196, 199, 201, 202, 203, 204, 208, 210, 212, 217, 222, 225, 235, 237, 238, 241, 242, 246, 247, 250, 253, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 319, 328, 330, 331, 332, 333, 334, 335, 336, 337, 341, 346, 347, 348, 351, 352, 353, 356, 360, 361, 366, 370, 375, 378, 381, 383, 388, 390, 391, 395, 396, 399, 400, 401, 405, 410, 415, 416, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 448, 453, 454, 457, 459, 461, 462, 463, 464, 469, 471, 473, 477, 483, 486, 489, 496, 499, 500, 503, 504, 508, 509, 512, 514], "option": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 127, 128, 130, 133, 134, 139, 140, 143, 144, 150, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 193, 196, 198, 200, 203, 207, 208, 209, 222, 225, 226, 227, 233, 235, 237, 238, 239, 241, 242, 246, 251, 253, 254, 255, 256, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 386, 388, 389, 390, 394, 395, 400, 401, 404, 405, 410, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 454, 457, 458, 460, 463, 467, 469, 470, 486, 487, 488, 489, 495, 496, 499, 501, 503, 504, 508, 513, 514, 515, 517, 518, 528], "whether": [1, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 122, 123, 130, 131, 132, 134, 135, 138, 139, 140, 141, 144, 146, 150, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 187, 192, 193, 196, 199, 201, 202, 203, 204, 208, 210, 212, 213, 217, 222, 225, 238, 239, 241, 246, 247, 250, 253, 256, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 381, 383, 390, 391, 393, 395, 396, 399, 400, 401, 402, 405, 407, 410, 415, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 448, 453, 454, 457, 459, 461, 462, 463, 464, 469, 471, 473, 474, 477, 483, 486, 489, 500, 503, 508, 509, 512, 514, 518, 529], "enabl": [1, 81, 87, 92, 120, 122, 140, 160, 161, 162, 167, 173, 174, 177, 181, 184, 201, 203, 222, 238, 239, 246, 247, 248, 341, 351, 380, 401, 420, 421, 422, 428, 434, 435, 438, 441, 445, 463, 483, 489, 501, 508, 509, 510], "acceler": [1, 79, 103, 120, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 319, 339, 362, 380, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 489], "must": [1, 81, 92, 100, 116, 128, 130, 133, 134, 146, 150, 157, 158, 160, 161, 162, 184, 185, 199, 222, 227, 235, 253, 341, 349, 351, 359, 376, 389, 390, 394, 395, 407, 410, 418, 419, 420, 421, 422, 445, 446, 459, 483, 488, 489, 496, 514], "set": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 112, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 219, 222, 225, 226, 232, 235, 238, 239, 242, 246, 247, 248, 250, 253, 261, 262, 263, 264, 265, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 303, 304, 305, 306, 307, 308, 309, 310, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 369, 370, 371, 372, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 449, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 476, 477, 479, 483, 486, 487, 489, 494, 495, 496, 500, 504, 508, 509, 510, 512, 514, 524, 528, 531, 532], "up": [1, 7, 9, 28, 44, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 95, 100, 101, 105, 106, 107, 112, 114, 116, 125, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 261, 262, 266, 269, 287, 304, 319, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 349, 354, 359, 360, 365, 366, 367, 372, 374, 376, 386, 407, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483, 489, 524, 528, 531, 532], "correctli": [1, 489], "appl": [1, 7, 8, 94, 111, 119, 266, 268, 353, 371, 379, 489], "silicon": [1, 7, 8, 266, 268, 489], "support": [1, 7, 8, 9, 28, 44, 68, 69, 70, 71, 88, 91, 95, 101, 102, 105, 106, 107, 125, 140, 144, 155, 162, 169, 170, 172, 175, 177, 178, 187, 207, 210, 212, 222, 237, 239, 247, 248, 266, 268, 269, 287, 304, 319, 327, 328, 330, 331, 348, 350, 354, 360, 361, 365, 366, 367, 386, 401, 405, 416, 422, 430, 431, 433, 436, 438, 439, 448, 467, 471, 473, 489, 499, 501, 509, 510, 525], "maco": [1, 489], "linux": [1, 489], "str": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 219, 222, 225, 226, 227, 232, 235, 237, 238, 239, 241, 242, 246, 248, 250, 251, 253, 254, 255, 256, 259, 263, 264, 265, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 347, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 449, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 477, 479, 483, 486, 487, 488, 489, 494, 496, 499, 500, 501, 503, 504, 508, 510, 512, 513, 514, 515, 517, 518, 521], "how": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 84, 85, 86, 88, 91, 92, 93, 95, 96, 97, 98, 99, 101, 103, 105, 109, 110, 112, 114, 118, 120, 122, 123, 127, 128, 130, 133, 134, 138, 139, 140, 144, 146, 150, 154, 157, 160, 161, 162, 164, 169, 184, 185, 192, 193, 196, 200, 204, 209, 210, 221, 222, 223, 225, 226, 248, 253, 254, 257, 261, 262, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 324, 325, 326, 331, 332, 333, 335, 336, 337, 338, 339, 340, 343, 345, 346, 348, 350, 351, 352, 354, 355, 356, 357, 358, 360, 362, 365, 369, 370, 372, 374, 378, 380, 381, 383, 388, 389, 390, 394, 395, 399, 400, 401, 405, 407, 410, 415, 418, 420, 421, 422, 424, 430, 445, 446, 453, 454, 457, 460, 464, 470, 471, 482, 483, 484, 486, 487, 489, 510, 514, 515, 519, 524, 528, 533], "much": [1, 17, 18, 23, 27, 28, 32, 36, 49, 51, 56, 91, 95, 101, 109, 110, 111, 144, 167, 169, 196, 276, 277, 282, 286, 287, 291, 295, 309, 311, 316, 350, 354, 360, 369, 370, 371, 405, 428, 430, 457, 489, 528], "alloc": [1, 489], "locat": [1, 10, 13, 19, 37, 45, 122, 154, 241, 270, 272, 278, 296, 305, 381, 415, 489, 503, 528], "download": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 123, 127, 128, 130, 134, 139, 140, 142, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 241, 242, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 383, 388, 389, 390, 395, 400, 401, 403, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 489, 503, 504, 527, 528, 531, 532], "extract": [1, 10, 11, 14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 61, 67, 78, 79, 80, 84, 86, 88, 97, 117, 121, 122, 123, 124, 125, 130, 131, 132, 134, 138, 139, 140, 141, 142, 154, 155, 157, 181, 183, 185, 190, 194, 201, 202, 204, 208, 210, 222, 235, 237, 238, 241, 246, 247, 248, 270, 271, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 320, 326, 338, 339, 340, 343, 346, 348, 356, 377, 381, 382, 383, 385, 386, 390, 391, 393, 395, 399, 400, 401, 402, 403, 415, 416, 418, 441, 443, 446, 450, 455, 461, 462, 464, 469, 471, 483, 489, 496, 499, 500, 503, 508, 509, 510, 524], "model": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 138, 139, 140, 141, 143, 144, 145, 146, 147, 150, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 190, 191, 193, 196, 210, 216, 222, 225, 233, 235, 241, 242, 248, 250, 259, 260, 262, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 394, 395, 399, 400, 401, 402, 404, 405, 407, 408, 410, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 449, 450, 452, 454, 457, 471, 476, 483, 486, 489, 495, 496, 503, 504, 510, 512, 521, 522, 524, 525, 527, 531, 533, 534], "pipelin": [1, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 207, 208, 209, 211, 212, 213, 233, 235, 239, 240, 241, 242, 243, 246, 247, 248, 250, 259, 262, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 467, 469, 470, 472, 473, 474, 489, 495, 496, 501, 502, 503, 504, 505, 508, 509, 510, 512, 525, 527, 528, 531], "If": [1, 9, 15, 17, 18, 21, 23, 25, 27, 28, 30, 32, 34, 36, 39, 42, 44, 47, 49, 50, 54, 56, 57, 60, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 112, 117, 122, 127, 131, 132, 138, 139, 140, 141, 144, 150, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 188, 208, 222, 233, 235, 238, 242, 261, 269, 274, 276, 277, 280, 282, 284, 286, 287, 289, 291, 293, 295, 299, 302, 304, 307, 309, 310, 314, 316, 317, 319, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 349, 372, 377, 381, 388, 391, 393, 399, 400, 401, 402, 405, 410, 415, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 449, 469, 483, 489, 495, 496, 500, 504, 524, 526, 528], "user": [1, 69, 71, 72, 73, 74, 75, 76, 77, 102, 138, 139, 145, 146, 147, 160, 161, 162, 165, 168, 171, 176, 193, 210, 211, 235, 246, 248, 250, 251, 262, 328, 331, 332, 333, 334, 335, 336, 337, 361, 399, 400, 407, 408, 420, 421, 422, 425, 429, 432, 437, 454, 471, 472, 489, 496, 508, 510, 512, 513, 524], "home": [1, 125, 251, 386, 489, 513], "directori": [1, 162, 237, 242, 251, 422, 489, 499, 504, 513, 524], "under": [1, 2, 99, 107, 109, 120, 125, 171, 178, 263, 358, 367, 369, 380, 386, 432, 439, 489], "cache_pretrain": [1, 489], "us": [1, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 87, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 143, 146, 147, 150, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 192, 193, 194, 196, 199, 200, 201, 202, 208, 209, 210, 211, 212, 213, 221, 222, 227, 235, 237, 238, 239, 241, 242, 246, 247, 248, 250, 251, 253, 254, 255, 256, 262, 266, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 404, 407, 408, 410, 413, 415, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 449, 453, 454, 455, 457, 459, 460, 461, 462, 469, 470, 471, 472, 473, 474, 482, 483, 488, 489, 496, 499, 500, 501, 503, 504, 509, 510, 512, 513, 514, 515, 517, 518, 525, 526, 527, 528, 529, 531], "cluster": [1, 7, 95, 101, 104, 106, 115, 266, 354, 360, 364, 366, 375, 489], "temporarili": [1, 177, 438, 489], "file": [1, 3, 7, 8, 28, 44, 50, 65, 71, 72, 73, 74, 75, 76, 77, 84, 85, 87, 115, 117, 122, 128, 130, 133, 134, 139, 140, 141, 144, 150, 155, 157, 162, 183, 184, 185, 188, 193, 198, 212, 223, 225, 235, 237, 238, 239, 244, 246, 247, 248, 250, 251, 253, 254, 255, 256, 259, 264, 266, 268, 287, 304, 310, 324, 331, 332, 333, 334, 335, 336, 337, 343, 345, 347, 375, 377, 381, 389, 390, 394, 395, 400, 401, 402, 405, 410, 416, 418, 422, 443, 445, 446, 449, 454, 458, 473, 484, 486, 489, 496, 499, 500, 501, 507, 508, 509, 510, 512, 513, 514, 515, 517, 518, 521, 524, 534], "unpack": [1, 489], "index": [1, 2, 59, 61, 108, 113, 114, 125, 130, 192, 225, 253, 263, 320, 368, 373, 374, 386, 390, 453, 486, 489, 514], "wordembed": [1, 5, 90, 97, 112, 117, 140, 201, 356, 372, 377, 401, 461, 489], "By": [1, 114, 157, 163, 179, 187, 192, 201, 235, 349, 374, 418, 423, 440, 448, 453, 461, 489, 496, 524], "thi": [1, 2, 3, 4, 7, 8, 9, 11, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 91, 92, 93, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 112, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 128, 130, 131, 133, 134, 135, 138, 139, 140, 141, 142, 144, 146, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 192, 193, 194, 196, 198, 200, 201, 203, 204, 207, 208, 209, 210, 211, 212, 213, 217, 221, 222, 229, 233, 235, 237, 238, 239, 241, 242, 247, 248, 250, 251, 255, 257, 261, 262, 263, 264, 265, 266, 268, 269, 271, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 349, 350, 351, 352, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 369, 370, 372, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 389, 390, 391, 394, 395, 396, 399, 400, 401, 402, 403, 405, 407, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 453, 454, 455, 457, 458, 460, 461, 463, 464, 467, 469, 470, 471, 472, 473, 474, 476, 477, 482, 483, 489, 490, 494, 495, 496, 499, 500, 503, 504, 509, 510, 512, 513, 517, 519, 523, 524, 527, 528, 529, 531, 532, 533], "i": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 188, 190, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 222, 226, 227, 233, 235, 238, 239, 242, 246, 247, 250, 251, 253, 255, 256, 257, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 483, 487, 488, 489, 495, 496, 500, 501, 504, 508, 509, 512, 513, 514, 517, 518, 519, 524, 525, 527, 528, 529, 531, 532, 533, 534], "hadoop": [1, 489], "tmp": [1, 81, 198, 207, 341, 458, 467, 489, 524], "dir": [1, 489], "via": [1, 9, 15, 17, 18, 21, 23, 25, 27, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 81, 115, 161, 207, 222, 269, 274, 276, 277, 280, 282, 284, 286, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 341, 375, 421, 467, 483, 489], "configur": [1, 67, 112, 193, 237, 250, 251, 261, 326, 349, 372, 454, 489, 499, 512, 513], "note": [1, 7, 8, 9, 17, 18, 23, 28, 36, 44, 49, 50, 56, 79, 81, 91, 92, 95, 99, 101, 103, 106, 107, 110, 112, 117, 118, 120, 125, 140, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 208, 222, 225, 237, 238, 251, 261, 266, 268, 269, 276, 277, 282, 287, 295, 304, 309, 310, 316, 319, 339, 341, 350, 351, 354, 358, 360, 362, 366, 367, 370, 372, 377, 378, 380, 386, 401, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 469, 483, 486, 489, 499, 500, 513, 533], "s3": [1, 242, 489, 504], "hdf": [1, 489], "dbf": [1, 489], "dict": [1, 2, 3, 4, 81, 84, 85, 122, 128, 130, 133, 134, 139, 142, 143, 144, 146, 150, 157, 183, 184, 185, 193, 208, 222, 226, 233, 235, 237, 238, 239, 241, 251, 259, 263, 264, 265, 341, 343, 345, 381, 389, 390, 394, 395, 400, 403, 404, 405, 407, 410, 418, 443, 445, 446, 454, 469, 483, 487, 489, 495, 496, 499, 500, 501, 503, 513, 521], "custom": [1, 86, 117, 139, 140, 141, 154, 155, 193, 210, 235, 248, 250, 251, 346, 377, 400, 401, 402, 415, 416, 454, 471, 489, 496, 510, 512, 513], "save": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 140, 150, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 225, 235, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 401, 410, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 486, 489, 496, 524, 528], "from": [1, 2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 219, 222, 227, 231, 235, 237, 238, 239, 241, 242, 246, 247, 248, 250, 251, 253, 254, 255, 256, 257, 262, 263, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 472, 473, 474, 476, 479, 483, 488, 489, 492, 495, 496, 499, 500, 501, 503, 504, 508, 509, 510, 512, 513, 514, 515, 517, 518, 519, 524, 527, 528, 529, 532, 533, 534], "dure": [1, 7, 28, 44, 50, 66, 92, 99, 104, 139, 140, 141, 150, 154, 160, 161, 162, 181, 183, 222, 235, 238, 266, 287, 304, 310, 325, 351, 358, 364, 400, 401, 402, 410, 415, 420, 421, 422, 441, 443, 483, 489, 496, 500, 524], "annotator_log": [1, 489], "print": [1, 87, 242, 347, 349, 489, 504], "jvm": [1, 187, 448, 489], "output": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 219, 222, 227, 235, 237, 238, 239, 246, 247, 248, 250, 255, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 477, 479, 483, 488, 489, 496, 499, 500, 501, 508, 509, 510, 512, 517, 524, 527, 528, 529], "real": [1, 140, 171, 173, 174, 175, 177, 235, 401, 432, 434, 435, 436, 438, 489, 496, 524], "time": [1, 28, 44, 50, 61, 91, 95, 100, 116, 118, 119, 125, 131, 150, 158, 162, 183, 196, 287, 304, 310, 320, 350, 354, 359, 376, 378, 379, 386, 391, 410, 419, 422, 443, 457, 489, 527, 528, 532, 533], "int": [1, 2, 4, 7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 61, 63, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 88, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 123, 125, 127, 131, 135, 137, 139, 140, 141, 144, 146, 149, 150, 152, 154, 155, 158, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 185, 188, 192, 193, 196, 203, 222, 235, 237, 238, 246, 253, 263, 265, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 313, 314, 315, 316, 317, 318, 320, 323, 324, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 348, 350, 351, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 377, 378, 379, 380, 383, 386, 388, 391, 396, 398, 400, 401, 402, 405, 407, 409, 410, 413, 415, 416, 419, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 446, 449, 453, 454, 457, 463, 483, 489, 496, 499, 500, 508, 514], "level": [1, 16, 28, 44, 50, 93, 94, 105, 110, 111, 115, 117, 119, 122, 139, 140, 150, 183, 222, 238, 239, 253, 275, 287, 304, 310, 352, 353, 365, 370, 371, 375, 377, 379, 381, 400, 401, 410, 443, 483, 489, 514], "return": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 72, 73, 74, 75, 76, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 125, 127, 128, 130, 134, 135, 137, 139, 140, 143, 146, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 191, 193, 196, 199, 203, 207, 208, 222, 225, 226, 227, 229, 233, 237, 238, 241, 242, 247, 248, 251, 253, 254, 255, 256, 263, 264, 265, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 332, 333, 334, 335, 336, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 386, 388, 389, 390, 395, 396, 398, 400, 401, 404, 407, 413, 415, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 452, 454, 457, 459, 463, 467, 469, 483, 486, 487, 488, 489, 490, 495, 499, 500, 503, 504, 509, 510, 513, 514, 515, 517, 518], "initi": [1, 100, 116, 160, 161, 162, 175, 183, 192, 211, 222, 247, 253, 254, 255, 256, 359, 376, 420, 421, 422, 436, 443, 453, 472, 483, 489, 509, 514, 515, 517, 518, 524], "session": [1, 251, 253, 254, 255, 256, 262, 489, 513, 514, 515, 517, 518], "sinc": [1, 87, 107, 125, 166, 167, 261, 347, 349, 367, 386, 426, 428, 489, 528, 529, 533], "python": [1, 127, 237, 262, 388, 489, 499], "deprec": [1, 261, 489], "you": [1, 17, 18, 23, 36, 49, 56, 77, 81, 84, 85, 86, 88, 95, 97, 99, 101, 109, 110, 112, 123, 131, 142, 146, 164, 168, 170, 174, 176, 201, 204, 208, 210, 222, 235, 239, 242, 247, 248, 250, 251, 255, 257, 261, 276, 277, 282, 295, 309, 316, 319, 337, 341, 343, 345, 346, 348, 349, 354, 356, 358, 360, 369, 370, 372, 383, 391, 403, 407, 424, 429, 431, 435, 437, 461, 464, 469, 471, 483, 489, 496, 501, 504, 509, 510, 512, 513, 517, 519, 524, 526, 528, 529, 532, 533, 534], "ar": [1, 2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 91, 92, 93, 95, 96, 98, 99, 103, 104, 105, 108, 110, 113, 114, 115, 117, 118, 119, 120, 122, 123, 125, 127, 128, 131, 133, 135, 138, 140, 141, 142, 143, 144, 146, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 186, 196, 201, 207, 208, 210, 211, 212, 221, 222, 223, 227, 235, 237, 238, 242, 256, 257, 261, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 349, 350, 351, 352, 354, 355, 357, 358, 362, 364, 365, 368, 370, 373, 374, 375, 377, 378, 379, 380, 381, 383, 386, 388, 389, 391, 394, 396, 399, 401, 402, 403, 404, 405, 407, 413, 415, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 447, 449, 457, 461, 467, 469, 471, 472, 473, 482, 483, 484, 488, 489, 496, 499, 500, 504, 518, 519, 524, 525, 526, 527, 528, 529, 532, 533, 534], "consid": [1, 86, 117, 123, 125, 146, 158, 160, 161, 162, 164, 168, 170, 176, 183, 184, 185, 187, 191, 222, 237, 238, 242, 261, 319, 346, 377, 383, 386, 407, 420, 421, 422, 424, 429, 431, 437, 443, 445, 446, 448, 452, 483, 489, 499, 504], "stick": [1, 261, 489], "lower": [1, 87, 91, 125, 146, 181, 183, 199, 261, 347, 350, 386, 407, 441, 443, 459, 489], "current": [1, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 88, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 125, 130, 131, 132, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 188, 208, 212, 217, 222, 225, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 348, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 377, 378, 379, 380, 386, 390, 391, 393, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 449, 469, 473, 477, 483, 486, 489, 527, 528, 529], "contain": [2, 3, 4, 5, 7, 8, 9, 10, 11, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 61, 63, 66, 67, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 210, 211, 212, 213, 215, 216, 217, 220, 221, 222, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 234, 235, 237, 238, 239, 241, 242, 243, 251, 253, 254, 255, 256, 259, 260, 262, 263, 264, 265, 266, 268, 269, 270, 271, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 320, 323, 325, 326, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 469, 471, 472, 473, 474, 475, 476, 477, 480, 482, 483, 484, 485, 486, 487, 488, 490, 491, 492, 494, 495, 496, 497, 499, 500, 501, 503, 504, 505, 513, 514, 515, 517, 518, 521, 522, 524, 527, 528], "data": [2, 3, 4, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 70, 80, 81, 82, 84, 85, 87, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 137, 139, 140, 141, 142, 143, 144, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 207, 208, 209, 211, 212, 213, 227, 235, 237, 241, 250, 251, 252, 253, 254, 255, 256, 259, 260, 263, 264, 265, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 330, 340, 341, 342, 343, 345, 347, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 400, 401, 402, 403, 404, 405, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 467, 469, 470, 472, 473, 474, 488, 496, 499, 503, 512, 513, 514, 515, 516, 517, 518, 521, 525, 527, 528, 532, 533, 534], "format": [2, 3, 4, 9, 61, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 122, 123, 128, 130, 131, 132, 133, 134, 139, 140, 144, 150, 157, 161, 163, 175, 179, 184, 185, 193, 196, 198, 200, 202, 204, 207, 209, 210, 212, 237, 238, 239, 246, 247, 248, 250, 251, 253, 254, 255, 256, 257, 263, 264, 265, 269, 320, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 381, 383, 389, 390, 391, 393, 394, 395, 400, 401, 405, 410, 418, 421, 423, 436, 440, 445, 446, 454, 457, 458, 460, 462, 464, 467, 470, 471, 473, 499, 500, 501, 508, 509, 510, 512, 513, 514, 515, 517, 518, 519, 525, 534], "class": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 228, 229, 230, 231, 232, 233, 235, 237, 238, 239, 241, 242, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 259, 260, 384, 481, 493, 516, 523, 524, 532, 534], "begin": [2, 63, 86, 88, 138, 166, 191, 193, 199, 200, 209, 227, 263, 323, 346, 348, 399, 426, 452, 454, 459, 460, 470, 488, 527], "end": [2, 14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 63, 75, 86, 88, 140, 146, 147, 155, 160, 161, 162, 163, 165, 173, 179, 191, 193, 196, 200, 209, 210, 222, 227, 234, 235, 237, 253, 263, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 323, 335, 346, 348, 401, 407, 408, 416, 420, 421, 422, 423, 425, 434, 440, 452, 454, 457, 460, 470, 471, 483, 488, 496, 499, 514, 524, 527, 529], "metadata": [2, 3, 4, 51, 63, 82, 88, 92, 125, 134, 139, 140, 143, 152, 161, 200, 202, 203, 207, 208, 209, 222, 227, 235, 237, 238, 239, 242, 248, 251, 263, 264, 265, 311, 323, 342, 348, 351, 386, 395, 400, 401, 404, 413, 421, 460, 462, 463, 467, 469, 470, 483, 488, 496, 499, 500, 504, 510, 513, 527, 529], "object": [2, 3, 4, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 139, 140, 143, 146, 152, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 186, 187, 196, 208, 218, 219, 220, 221, 222, 223, 225, 235, 241, 242, 259, 260, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 400, 401, 404, 407, 413, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 446, 447, 448, 457, 482, 484, 491, 492, 496, 511, 527, 528], "repres": [2, 3, 4, 84, 85, 91, 98, 104, 108, 113, 114, 120, 122, 123, 130, 134, 135, 146, 147, 161, 165, 171, 193, 235, 241, 263, 264, 265, 343, 345, 350, 357, 364, 368, 373, 374, 380, 381, 383, 390, 395, 396, 407, 408, 421, 425, 432, 454, 496, 503, 528], "detail": [2, 3, 4, 9, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 113, 118, 119, 125, 143, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 263, 264, 265, 269, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 373, 378, 379, 386, 404, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "type": [2, 3, 4, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 222, 227, 229, 236, 237, 238, 239, 241, 244, 245, 246, 247, 248, 250, 255, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 483, 488, 490, 498, 499, 500, 501, 503, 506, 507, 508, 509, 510, 512, 517, 527, 528, 531], "possibl": [2, 3, 4, 60, 61, 97, 99, 118, 119, 122, 141, 154, 183, 185, 200, 209, 210, 221, 222, 223, 235, 263, 264, 265, 319, 356, 358, 378, 379, 381, 402, 415, 443, 446, 460, 470, 471, 482, 483, 484, 496, 524], "valu": [2, 3, 4, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 94, 97, 103, 104, 108, 113, 114, 115, 118, 122, 123, 125, 127, 128, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 187, 188, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 219, 221, 222, 223, 225, 232, 235, 237, 238, 239, 245, 246, 247, 248, 250, 251, 263, 264, 265, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 343, 345, 346, 347, 348, 353, 356, 362, 364, 368, 373, 374, 375, 378, 381, 383, 386, 388, 389, 391, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 419, 421, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 448, 449, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 477, 479, 482, 483, 484, 486, 494, 496, 499, 500, 501, 508, 509, 510, 512, 513, 524, 534], "document": [2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 204, 208, 209, 210, 212, 213, 214, 218, 235, 236, 237, 238, 239, 241, 246, 247, 248, 249, 250, 251, 253, 254, 255, 257, 261, 263, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 460, 461, 462, 463, 464, 469, 470, 471, 473, 474, 478, 496, 498, 499, 500, 501, 503, 508, 509, 510, 511, 512, 513, 514, 515, 517, 519, 524, 528, 529, 531, 532, 533], "wordpiec": [2, 214, 218, 263, 478], "word_embed": [2, 5, 90, 91, 93, 96, 97, 98, 99, 103, 105, 110, 112, 116, 118, 120, 139, 140, 150, 188, 214, 218, 263, 350, 352, 355, 356, 357, 358, 362, 363, 365, 370, 372, 376, 378, 380, 384, 400, 401, 410, 478], "sentence_embed": [2, 5, 28, 44, 50, 90, 92, 94, 95, 100, 101, 102, 104, 106, 107, 108, 109, 111, 113, 114, 115, 119, 147, 181, 214, 218, 235, 263, 287, 304, 310, 351, 353, 354, 359, 360, 361, 363, 364, 366, 367, 368, 369, 371, 373, 374, 375, 379, 384, 408, 441, 478, 496, 524, 528], "categori": [2, 15, 17, 18, 21, 23, 25, 27, 28, 30, 32, 34, 36, 39, 42, 44, 47, 49, 50, 54, 56, 57, 66, 67, 78, 80, 214, 218, 235, 263, 274, 276, 277, 280, 282, 284, 286, 287, 289, 291, 293, 295, 299, 302, 304, 307, 309, 310, 314, 316, 317, 325, 326, 338, 340, 478, 496, 524, 528], "date": [2, 61, 82, 131, 132, 133, 210, 214, 218, 263, 320, 342, 391, 393, 394, 471, 478], "entiti": [2, 10, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 63, 78, 82, 96, 121, 122, 123, 129, 130, 134, 136, 137, 138, 139, 140, 142, 143, 190, 194, 202, 208, 214, 218, 241, 259, 263, 270, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318, 323, 338, 342, 355, 381, 382, 383, 390, 395, 397, 398, 399, 400, 401, 403, 404, 450, 455, 462, 469, 478, 503, 521], "chunk": [2, 10, 11, 13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 60, 61, 82, 86, 88, 92, 97, 100, 116, 122, 125, 130, 133, 134, 135, 138, 160, 162, 190, 194, 199, 202, 214, 218, 227, 235, 236, 238, 239, 256, 259, 263, 270, 271, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 311, 312, 313, 319, 320, 342, 346, 348, 351, 356, 359, 376, 381, 386, 390, 394, 395, 396, 399, 420, 422, 450, 455, 459, 462, 478, 488, 496, 498, 501, 518, 524, 534], "named_ent": [2, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 123, 138, 139, 140, 142, 143, 150, 208, 214, 218, 241, 263, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318, 383, 399, 400, 401, 403, 404, 410, 469, 478, 503], "negex": [2, 214, 218, 263, 478], "labeled_depend": [2, 85, 123, 214, 218, 263, 345, 478], "languag": [2, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 126, 127, 128, 130, 131, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 193, 196, 199, 209, 210, 213, 214, 218, 222, 237, 239, 242, 259, 263, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 386, 387, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 454, 457, 459, 470, 471, 474, 478, 483, 499, 501, 504, 521, 528], "keyword": [2, 124, 125, 157, 259, 263, 384, 385, 386, 418, 521], "dummi": [2, 87, 214, 218, 260, 263, 347, 478, 522], "first": [2, 98, 100, 101, 103, 104, 109, 113, 116, 118, 119, 125, 133, 139, 140, 142, 154, 163, 170, 171, 172, 173, 177, 178, 179, 181, 183, 187, 192, 201, 210, 213, 221, 222, 261, 263, 319, 357, 359, 360, 362, 364, 369, 373, 376, 378, 379, 386, 394, 400, 401, 403, 415, 423, 431, 432, 433, 434, 438, 439, 440, 441, 443, 448, 453, 461, 471, 474, 482, 483, 524, 528, 529, 533], "charact": [2, 13, 19, 37, 45, 87, 103, 105, 122, 127, 133, 135, 144, 154, 155, 183, 184, 185, 192, 193, 196, 202, 237, 238, 263, 272, 278, 296, 305, 347, 362, 365, 381, 388, 394, 396, 405, 415, 416, 443, 445, 446, 453, 454, 457, 462, 499], "last": [2, 92, 106, 108, 113, 114, 131, 132, 160, 161, 162, 190, 210, 222, 257, 263, 351, 366, 368, 373, 374, 391, 393, 420, 421, 422, 450, 471, 483, 519, 532], "string": [2, 9, 13, 19, 28, 37, 44, 45, 50, 60, 63, 84, 87, 122, 133, 135, 142, 144, 155, 157, 160, 161, 162, 179, 181, 185, 187, 191, 199, 200, 202, 207, 208, 209, 210, 222, 237, 238, 239, 246, 248, 250, 251, 263, 269, 272, 278, 287, 296, 304, 305, 310, 319, 323, 343, 347, 381, 394, 396, 403, 405, 416, 420, 421, 422, 440, 446, 448, 452, 459, 460, 462, 467, 469, 470, 471, 483, 499, 500, 501, 508, 510, 512, 513, 532], "associ": [2, 3, 4, 44, 115, 122, 133, 138, 146, 235, 263, 264, 265, 304, 375, 381, 394, 399, 407, 496], "list": [2, 3, 4, 7, 8, 9, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 122, 123, 125, 127, 131, 133, 137, 138, 140, 141, 142, 143, 144, 146, 149, 154, 155, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 187, 188, 191, 193, 201, 202, 203, 208, 209, 217, 222, 227, 233, 235, 237, 239, 241, 242, 251, 257, 259, 263, 264, 265, 266, 268, 269, 271, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 313, 314, 315, 316, 317, 318, 323, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 346, 347, 350, 351, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 369, 370, 371, 375, 378, 379, 380, 381, 383, 386, 388, 391, 394, 398, 399, 401, 402, 403, 404, 405, 407, 409, 415, 416, 420, 421, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 448, 449, 452, 454, 461, 462, 463, 469, 470, 477, 483, 488, 495, 496, 499, 501, 503, 504, 513, 519, 521, 523, 528], "vector": [2, 44, 93, 94, 95, 97, 98, 100, 101, 103, 115, 116, 117, 181, 201, 202, 263, 304, 352, 353, 354, 356, 357, 359, 360, 362, 375, 376, 377, 441, 461, 462, 527], "where": [2, 44, 81, 98, 102, 103, 113, 122, 125, 128, 130, 133, 134, 135, 141, 146, 152, 155, 157, 161, 163, 166, 179, 181, 184, 185, 196, 199, 255, 263, 304, 341, 357, 361, 362, 373, 381, 386, 389, 390, 394, 395, 396, 402, 407, 413, 416, 418, 421, 423, 426, 440, 441, 445, 446, 457, 459, 517], "applic": [2, 77, 80, 114, 125, 163, 167, 168, 171, 173, 174, 175, 177, 221, 234, 235, 247, 263, 337, 340, 374, 386, 423, 428, 429, 432, 434, 435, 436, 438, 482, 496, 497, 509, 524, 526], "static": [2, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 225, 241, 242, 260, 263, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 486, 503, 504, 522, 528], "sql": [2, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 117, 118, 119, 120, 130, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 208, 225, 227, 233, 237, 241, 251, 253, 254, 255, 256, 263, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 377, 378, 379, 380, 390, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 467, 469, 486, 488, 495, 499, 503, 513, 514, 515, 517, 518], "creat": [2, 3, 4, 28, 44, 50, 69, 77, 88, 93, 94, 100, 110, 113, 116, 117, 123, 140, 146, 147, 150, 152, 160, 169, 172, 177, 190, 196, 208, 211, 227, 238, 253, 254, 255, 256, 259, 260, 261, 263, 264, 265, 287, 304, 310, 328, 337, 348, 349, 352, 353, 359, 370, 373, 376, 377, 383, 401, 407, 408, 410, 413, 420, 430, 433, 438, 450, 457, 469, 472, 488, 514, 515, 517, 518, 521, 522, 528, 529, 532, 534], "new": [2, 3, 4, 10, 50, 63, 78, 82, 91, 93, 94, 98, 103, 104, 105, 117, 120, 142, 143, 146, 160, 163, 166, 168, 173, 174, 179, 183, 202, 233, 238, 261, 263, 264, 265, 270, 310, 323, 338, 342, 350, 352, 353, 357, 362, 364, 365, 377, 380, 403, 404, 407, 409, 410, 420, 423, 426, 429, 434, 435, 440, 443, 449, 462, 477, 483, 494, 495, 500, 527, 528], "differ": [2, 3, 4, 67, 78, 84, 85, 102, 103, 104, 110, 111, 118, 120, 125, 131, 154, 155, 165, 172, 177, 183, 193, 196, 208, 235, 244, 250, 263, 264, 265, 326, 338, 343, 345, 361, 362, 364, 370, 371, 378, 380, 386, 391, 415, 416, 425, 433, 438, 443, 454, 457, 469, 496, 507, 512, 532], "all": [2, 3, 4, 5, 9, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 51, 53, 54, 56, 57, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 86, 87, 91, 93, 94, 95, 96, 108, 112, 113, 114, 117, 120, 122, 127, 131, 135, 140, 144, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 187, 192, 196, 201, 204, 221, 222, 235, 238, 242, 261, 263, 264, 265, 269, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 311, 314, 316, 317, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 346, 347, 350, 352, 353, 354, 355, 368, 372, 373, 374, 377, 380, 381, 384, 388, 391, 401, 405, 407, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 448, 453, 457, 461, 464, 482, 483, 496, 500, 504, 523, 528, 533], "should": [2, 3, 4, 11, 28, 44, 50, 67, 78, 79, 80, 81, 86, 92, 95, 100, 101, 109, 116, 118, 125, 127, 134, 135, 139, 140, 141, 146, 150, 154, 155, 160, 161, 162, 170, 183, 192, 208, 210, 217, 222, 241, 253, 254, 261, 263, 264, 265, 271, 287, 304, 310, 319, 320, 326, 338, 339, 340, 341, 346, 349, 351, 354, 359, 360, 369, 376, 378, 386, 388, 395, 396, 400, 401, 402, 407, 410, 415, 416, 420, 421, 422, 431, 441, 443, 453, 469, 471, 476, 477, 483, 491, 495, 503, 511, 514, 515], "newli": [2, 3, 4, 114, 263, 264, 265, 374], "structtyp": [2, 227, 260, 263], "schema": [2, 81, 138, 235, 248, 250, 260, 263, 341, 399, 496, 510, 512, 522, 524], "look": [2, 140, 162, 173, 174, 175, 177, 184, 263, 349, 401, 422, 434, 435, 436, 438, 445, 527], "like": [2, 7, 14, 20, 24, 28, 29, 33, 38, 41, 46, 52, 53, 63, 79, 87, 91, 95, 97, 99, 105, 112, 120, 123, 125, 133, 138, 146, 155, 158, 160, 161, 162, 165, 166, 169, 172, 177, 183, 193, 196, 222, 235, 263, 266, 273, 279, 283, 287, 288, 292, 298, 301, 306, 312, 313, 323, 339, 347, 350, 354, 356, 358, 365, 372, 380, 383, 386, 394, 399, 407, 416, 419, 420, 421, 422, 425, 426, 430, 433, 438, 443, 454, 457, 483, 496, 524, 526, 527], "struct": [2, 200, 207, 209, 237, 248, 251, 263, 460, 467, 470, 499, 510, 513], "containsnul": [2, 44, 198, 200, 207, 209, 237, 248, 251, 263, 304, 458, 460, 467, 470, 499, 510, 513], "true": [2, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 66, 67, 77, 78, 79, 80, 81, 86, 87, 88, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 130, 131, 132, 134, 138, 140, 144, 154, 155, 157, 160, 166, 169, 181, 183, 184, 187, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 222, 227, 235, 237, 238, 242, 246, 248, 251, 253, 254, 256, 257, 260, 263, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 325, 326, 337, 338, 339, 340, 341, 346, 347, 348, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 390, 391, 393, 395, 399, 401, 405, 415, 416, 420, 430, 441, 443, 445, 453, 454, 457, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 473, 483, 496, 499, 500, 504, 508, 510, 513, 514, 515, 518, 519, 524, 528, 529], "nullabl": [2, 44, 198, 200, 207, 209, 237, 246, 248, 251, 263, 304, 458, 460, 467, 470, 499, 508, 510, 513], "integ": [2, 67, 78, 79, 80, 108, 113, 114, 200, 207, 209, 222, 246, 248, 263, 326, 338, 339, 340, 368, 373, 374, 460, 467, 470, 508, 510], "map": [2, 11, 44, 92, 95, 117, 122, 146, 152, 160, 161, 162, 183, 200, 207, 209, 210, 222, 227, 233, 237, 248, 251, 259, 263, 271, 304, 351, 354, 377, 381, 407, 409, 410, 413, 420, 421, 422, 443, 460, 467, 470, 471, 477, 483, 488, 494, 495, 499, 500, 510, 513, 527], "kei": [2, 7, 67, 70, 84, 85, 110, 111, 118, 119, 128, 143, 172, 200, 207, 208, 209, 235, 237, 241, 248, 251, 259, 263, 266, 326, 330, 343, 345, 370, 371, 378, 379, 389, 404, 433, 460, 467, 469, 470, 496, 499, 503, 510, 513, 521, 524], "valuecontainsnul": [2, 200, 207, 209, 237, 248, 251, 263, 460, 467, 470, 499, 510, 513], "arrai": [2, 7, 8, 9, 11, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 118, 119, 120, 127, 128, 135, 140, 149, 152, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 190, 191, 196, 198, 199, 200, 201, 202, 204, 207, 208, 209, 210, 227, 237, 239, 248, 251, 263, 266, 268, 269, 271, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 378, 379, 380, 388, 389, 396, 401, 409, 413, 415, 416, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 450, 452, 457, 458, 459, 460, 461, 462, 464, 467, 469, 470, 471, 488, 499, 501, 510, 513, 529, 532], "element": [2, 44, 135, 146, 181, 198, 200, 207, 209, 210, 237, 238, 239, 248, 251, 263, 304, 396, 407, 441, 458, 460, 467, 470, 471, 499, 500, 510, 513], "float": [2, 3, 7, 8, 9, 28, 44, 50, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 82, 92, 127, 139, 140, 143, 146, 149, 150, 155, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 196, 198, 200, 201, 203, 208, 209, 222, 237, 238, 263, 264, 266, 268, 269, 287, 304, 310, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 342, 351, 388, 400, 401, 404, 407, 409, 410, 416, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 457, 458, 460, 461, 463, 469, 470, 483, 499, 500], "row": [2, 51, 86, 88, 117, 154, 155, 158, 200, 209, 210, 212, 227, 237, 238, 239, 253, 260, 263, 311, 346, 348, 377, 415, 416, 419, 460, 470, 471, 473, 488, 499, 500, 514, 522], "column": [2, 10, 28, 44, 50, 81, 87, 117, 128, 137, 139, 140, 141, 149, 150, 152, 158, 162, 181, 188, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 213, 217, 227, 238, 239, 241, 246, 253, 255, 263, 270, 287, 304, 310, 341, 347, 377, 389, 398, 400, 401, 402, 409, 410, 413, 419, 422, 441, 449, 454, 457, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 474, 477, 488, 500, 501, 503, 508, 514, 517, 528], "transform": [2, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 206, 207, 208, 209, 210, 212, 213, 222, 227, 230, 233, 235, 239, 240, 241, 246, 247, 250, 263, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 469, 470, 471, 473, 474, 483, 488, 491, 495, 496, 501, 503, 508, 509, 511, 512, 524, 527, 528, 529, 532, 533, 534], "an": [2, 7, 8, 9, 11, 28, 44, 50, 51, 66, 67, 70, 78, 79, 80, 84, 86, 87, 92, 96, 98, 103, 104, 105, 107, 108, 109, 113, 114, 120, 122, 125, 127, 130, 131, 132, 133, 134, 135, 139, 140, 141, 143, 146, 150, 152, 154, 155, 157, 158, 162, 163, 164, 165, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 190, 193, 196, 199, 200, 201, 202, 204, 207, 208, 209, 210, 213, 222, 226, 227, 229, 233, 235, 238, 239, 247, 251, 253, 254, 255, 256, 263, 266, 268, 269, 271, 287, 304, 310, 311, 319, 325, 326, 330, 338, 339, 340, 343, 346, 347, 349, 351, 355, 357, 362, 364, 365, 367, 368, 369, 373, 374, 380, 381, 386, 388, 390, 391, 393, 394, 395, 396, 400, 401, 402, 404, 407, 409, 410, 413, 415, 416, 418, 419, 422, 423, 424, 425, 426, 428, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 450, 454, 457, 459, 460, 461, 462, 464, 467, 469, 470, 471, 474, 477, 483, 487, 488, 490, 494, 495, 496, 500, 509, 513, 514, 515, 517, 518, 523, 525, 527, 528, 529, 531, 532], "alreadi": [3, 123, 125, 139, 140, 141, 142, 193, 194, 208, 241, 264, 383, 386, 400, 401, 402, 403, 454, 455, 469, 503, 532], "load": [3, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 125, 127, 128, 130, 134, 136, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 207, 222, 225, 238, 239, 241, 242, 246, 248, 257, 261, 262, 264, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 386, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 467, 483, 486, 503, 504, 508, 510, 519, 528, 531], "process": [3, 7, 8, 9, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 123, 125, 127, 138, 139, 140, 141, 150, 155, 160, 161, 162, 163, 166, 171, 175, 177, 179, 181, 193, 196, 198, 199, 200, 201, 202, 203, 207, 209, 211, 213, 222, 235, 237, 238, 248, 250, 251, 264, 266, 268, 269, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 340, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 376, 378, 379, 380, 383, 386, 388, 399, 400, 401, 402, 410, 416, 420, 421, 422, 423, 426, 432, 436, 438, 440, 441, 457, 458, 459, 460, 461, 462, 463, 467, 470, 472, 474, 483, 496, 499, 500, 510, 512, 513, 524, 527, 528, 529, 530], "byte": [3, 4, 7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 127, 140, 149, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 207, 235, 237, 238, 239, 264, 265, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 388, 401, 409, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 467, 496, 499, 500, 501], "origin": [4, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 100, 105, 110, 116, 138, 155, 160, 161, 162, 163, 207, 222, 238, 248, 260, 265, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 359, 365, 370, 376, 399, 416, 420, 421, 422, 423, 467, 483, 500, 510], "height": [4, 67, 78, 79, 80, 207, 222, 248, 260, 265, 326, 338, 339, 340, 467, 483, 510], "width": [4, 67, 78, 79, 80, 92, 160, 161, 162, 207, 222, 248, 260, 265, 326, 338, 339, 340, 351, 420, 421, 422, 467, 483, 510], "nchannel": [4, 207, 248, 260, 265, 467, 510], "mode": [4, 28, 44, 50, 60, 71, 87, 122, 140, 150, 184, 200, 207, 209, 210, 235, 248, 260, 265, 287, 304, 310, 319, 331, 347, 381, 401, 410, 445, 460, 467, 470, 471, 496, 510], "imag": [4, 61, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 102, 162, 175, 207, 208, 214, 218, 222, 238, 241, 248, 250, 260, 265, 320, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 361, 422, 436, 467, 469, 478, 483, 500, 503, 510, 512, 522], "uri": [4, 242, 265, 504], "pixel": [4, 78, 265, 338], "number": [4, 9, 17, 18, 23, 27, 28, 32, 36, 44, 49, 50, 56, 61, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 81, 84, 85, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 135, 137, 139, 140, 146, 149, 152, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 188, 196, 203, 222, 238, 246, 253, 254, 265, 269, 276, 277, 282, 286, 287, 291, 295, 304, 309, 310, 316, 320, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 341, 343, 345, 348, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 386, 396, 398, 400, 401, 407, 409, 413, 415, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 449, 457, 463, 483, 500, 508, 514, 515], "color": [4, 265], "channel": [4, 67, 78, 79, 80, 183, 222, 265, 326, 338, 339, 340, 443, 483], "opencv": [4, 207, 265, 467], "hubert_for_ctc": [5, 6, 267, 384], "hubertforctc": [5, 6, 7, 266], "wav2vec2_for_ctc": [5, 6, 267, 384], "wav2vec2forctc": [5, 6, 8, 268], "whisper_for_ctc": [5, 6, 267, 384], "whisperforctc": [5, 6, 9, 269], "albert_for_multiple_choic": [5, 12, 297, 384], "albertformultiplechoic": [5, 12, 13, 272], "albert_for_question_answ": [5, 12, 297, 384], "albertforquestionansw": [5, 12, 14, 273], "albert_for_sequence_classif": [5, 12, 297, 384], "albertforsequenceclassif": [5, 12, 15, 30, 274, 289], "albert_for_token_classif": [5, 12, 297, 384], "albertfortokenclassif": [5, 12, 16, 91, 275, 350], "albert_for_zero_shot_classif": [5, 12, 297, 384], "albertforzeroshotclassif": [5, 12, 17, 276], "bart_for_zero_shot_classif": [5, 12, 297, 384], "bartforzeroshotclassif": [5, 12, 17, 18, 276, 277], "bert_for_multiple_choic": [5, 12, 297, 384], "bertformultiplechoic": [5, 12, 19, 278], "bert_for_question_answ": [5, 12, 297, 384], "bertforquestionansw": [5, 12, 13, 20, 51, 272, 279, 311], "bert_for_sequence_classif": [5, 12, 297, 384], "bertforsequenceclassif": [5, 12, 21, 23, 280, 282], "bert_for_token_classif": [5, 12, 297, 384], "bertfortokenclassif": [5, 12, 22, 281], "bert_for_zero_shot_classif": [5, 12, 297, 384], "bertforzeroshotclassif": [5, 12, 23, 282], "camembert_for_question_answ": [5, 12, 297, 384], "camembertforquestionansw": [5, 12, 24, 283], "camembert_for_sequence_classif": [5, 12, 297, 384], "camembertforsequenceclassif": [5, 12, 25, 27, 284, 286], "camembert_for_token_classif": [5, 12, 297, 384], "camembertfortokenclassif": [5, 12, 26, 285], "camembert_for_zero_shot_classif": [5, 12, 297, 384], "camembertforzeroshotclassif": [5, 12, 27, 286], "classifierdlapproach": [5, 12, 28, 44, 287, 304, 528], "classifierdlmodel": [5, 12, 28, 44, 287, 304, 528], "deberta_for_question_answ": [5, 12, 297, 384], "debertaforquestionansw": [5, 12, 29, 288], "deberta_for_sequence_classif": [5, 12, 297, 384], "debertaforsequenceclassif": [5, 12, 27, 30, 32, 286, 289, 291], "deberta_for_token_classif": [5, 12, 297, 384], "debertafortokenclassif": [5, 12, 31, 290], "deberta_for_zero_shot_classif": [5, 12, 297, 384], "debertaforzeroshotclassif": [5, 12, 32, 291], "distil_bert_for_question_answ": [5, 12, 297, 384], "distilbertforquestionansw": [5, 12, 33, 292], "distil_bert_for_sequence_classif": [5, 12, 297, 384], "distilbertforsequenceclassif": [5, 12, 17, 34, 36, 276, 293, 295], "distil_bert_for_token_classif": [5, 12, 297, 384], "distilbertfortokenclassif": [5, 12, 35, 294], "distil_bert_for_zero_shot_classif": [5, 12, 297, 384], "distilbertforzeroshotclassif": [5, 12, 36, 295], "distilbert_for_multiple_choic": [5, 12, 297, 384], "distilbertformultiplechoic": [5, 12, 37, 296], "longformer_for_question_answ": [5, 12, 297, 384], "longformerforquestionansw": [5, 12, 38, 298], "longformer_for_sequence_classif": [5, 12, 297, 384], "longformerforsequenceclassif": [5, 12, 39, 299], "longformer_for_token_classif": [5, 12, 297, 384], "longformerfortokenclassif": [5, 12, 40, 300], "mpnet_for_question_answ": [5, 12, 297, 384], "mpnetforquestionansw": [5, 12, 41, 301], "mpnet_for_sequence_classif": [5, 12, 297, 384], "mpnetforsequenceclassif": [5, 12, 42, 302], "mpnet_for_token_classif": [5, 12, 297, 384], "mpnetfortokenclassif": [5, 12, 43, 303], "multi_classifier_dl": [5, 12, 297, 384], "multiclassifierdlapproach": [5, 12, 28, 44, 235, 287, 304, 496, 524], "multiclassifierdlmodel": [5, 12, 28, 44, 287, 304], "roberta_for_multiple_choic": [5, 12, 297, 384], "robertaformultiplechoic": [5, 12, 45, 305], "roberta_for_question_answ": [5, 12, 297, 384], "robertaforquestionansw": [5, 12, 45, 46, 143, 305, 306, 404], "roberta_for_sequence_classif": [5, 12, 297, 384], "robertaforsequenceclassif": [5, 12, 47, 49, 307, 309], "roberta_for_token_classif": [5, 12, 297, 384], "robertafortokenclassif": [5, 12, 48, 308], "roberta_for_zero_shot_classif": [5, 12, 297, 384], "robertaforzeroshotclassif": [5, 12, 49, 309], "sentiment_dl": [5, 12, 297, 384], "sentimentdlapproach": [5, 12, 28, 44, 50, 287, 304, 310], "sentimentdlmodel": [5, 12, 28, 44, 50, 287, 304, 310], "tapas_for_question_answ": [5, 12, 297, 384], "tapasforquestionansw": [5, 12, 51, 311], "xlm_roberta_for_multiple_choic": [5, 12, 297, 384], "xlmrobertaformultiplechoic": [5, 12, 52, 312], "xlm_roberta_for_question_answ": [5, 12, 297, 384], "xlmrobertaforquestionansw": [5, 12, 53, 313], "xlm_roberta_for_sequence_classif": [5, 12, 297, 384], "xlmrobertaforsequenceclassif": [5, 12, 54, 56, 314, 316], "xlm_roberta_for_token_classif": [5, 12, 297, 384], "xlmrobertafortokenclassif": [5, 12, 43, 55, 303, 315], "xlm_roberta_for_zero_shot_classif": [5, 12, 297, 384], "xlmrobertaforzeroshotclassif": [5, 12, 56, 316], "xlnet_for_sequence_classif": [5, 12, 297, 384], "xlnetforsequenceclassif": [5, 12, 57, 317], "xlnet_for_token_classif": [5, 12, 297, 384], "xlnetfortokenclassif": [5, 12, 58, 318], "extractor": [5, 59, 130, 134, 190, 321, 384, 390, 395, 450], "spanbert_coref": [5, 62, 322, 384], "spanbertcorefmodel": [5, 62, 63, 323], "blip_for_question_answ": [5, 64, 329, 384], "blipforquestionansw": [5, 64, 65, 324], "clip_for_zero_shot_classif": [5, 64, 329, 384], "clipforzeroshotclassif": [5, 64, 65, 66, 71, 72, 73, 75, 76, 324, 325, 331, 332, 333, 335, 336], "convnext_for_image_classif": [5, 64, 329, 384], "convnextforimageclassif": [5, 64, 67, 326], "florence2_transform": [5, 64, 329, 384], "florence2transform": [5, 64, 68, 327], "gemma3_for_multimod": [5, 64, 329, 384], "gemma3formultimod": [5, 64, 69, 328], "internvl_for_multimod": [5, 64, 329, 384], "internvlformultimod": [5, 64, 70, 330], "janus_for_multimod": [5, 64, 329, 384], "janusformultimod": [5, 64, 71, 331], "llava_for_multimod": [5, 64, 329, 384], "llavaformultimod": [5, 64, 72, 332], "mllama_for_multimod": [5, 64, 329, 384], "mllamaformultimod": [5, 64, 73, 333], "paligemma_for_multimod": [5, 64, 329, 384], "paligemmaformultimod": [5, 64, 74, 334], "phi3_vision_for_multimod": [5, 64, 329, 384], "phi3vis": [5, 64, 75, 335], "qwen2vl_transform": [5, 64, 329, 384], "qwen2vltransform": [5, 64, 76, 336], "smolvlm_transform": [5, 64, 329, 384], "smolvlmtransform": [5, 64, 77, 337], "swin_for_image_classif": [5, 64, 329, 384], "swinforimageclassif": [5, 64, 78, 338], "vision_encoder_decoder_for_image_capt": [5, 64, 329, 384], "visionencoderdecoderforimagecapt": [5, 64, 79, 339], "vit_for_image_classif": [5, 64, 329, 384], "vitforimageclassif": [5, 64, 80, 340], "dependency_pars": [5, 83, 242, 344, 384, 504, 533], "dependencyparserapproach": [5, 83, 84, 254, 343, 515, 534], "dependencyparsermodel": [5, 83, 84, 85, 123, 343, 345, 383], "typed_dependency_pars": [5, 83, 344, 384], "typeddependencyparserapproach": [5, 83, 84, 85, 343, 345], "typeddependencyparsermodel": [5, 83, 85, 123, 345, 383], "albert_embed": [5, 90, 363, 384], "albertembed": [5, 16, 90, 91, 275, 350], "auto_gguf_embed": [5, 90, 363, 384], "autoggufembed": [5, 90, 92, 351], "bert_embed": [5, 90, 363, 384], "bertembed": [5, 90, 93, 97, 104, 112, 140, 141, 201, 352, 356, 364, 372, 401, 402, 461], "bert_sentence_embed": [5, 90, 363, 384], "bertsentenceembed": [5, 44, 50, 90, 94, 111, 119, 304, 310, 353, 371, 379], "bge_embed": [5, 90, 363, 384], "bgeembed": [5, 90, 95, 354], "camembert_embed": [5, 90, 363, 384], "camembertembed": [5, 90, 96, 355], "chunk_embed": [5, 90, 363, 384], "chunkembed": [5, 90, 97, 201, 356, 461], "deberta_embed": [5, 90, 363, 384], "debertaembed": [5, 90, 98, 357], "distil_bert_embed": [5, 90, 363, 384], "distilbertembed": [5, 90, 99, 358], "doc2vec": [5, 90, 363, 384], "doc2vecapproach": [5, 90, 100, 359], "doc2vecmodel": [5, 90, 100, 359], "e5_embed": [5, 90, 363, 384], "e5embed": [5, 90, 101, 107, 109, 181, 360, 367, 369, 441], "e5v_embed": [5, 90, 363, 384], "e5vembed": [5, 90, 102, 260, 361, 522], "elmo_embed": [5, 90, 363, 384], "elmoembed": [5, 90, 103, 362], "instructor_embed": [5, 90, 363, 384], "instructorembed": [5, 90, 104, 364], "longformer_embed": [5, 90, 363, 384], "longformerembed": [5, 90, 105, 365], "minilm_embed": [5, 90, 363, 384], "minilmembed": [5, 90, 106, 366], "mpnet_embed": [5, 90, 363, 384], "mpnetembed": [5, 90, 107, 367], "mxbai_embed": [5, 90, 363, 384], "mxbaiembed": [5, 90, 108, 368], "nomic_embed": [5, 90, 363, 384], "nomicembed": [5, 90, 109, 369], "roberta_embed": [5, 90, 363, 384], "robertaembed": [5, 90, 110, 118, 370, 378], "roberta_sentence_embed": [5, 90, 363, 384], "robertasentenceembed": [5, 90, 111, 371], "sentenceembed": [5, 28, 44, 50, 90, 112, 117, 201, 287, 304, 310, 372, 377, 461], "snowflake_embed": [5, 90, 363, 384], "snowflakeembed": [5, 90, 113, 373], "uae_embed": [5, 90, 363, 384], "uaeembed": [5, 90, 114, 374], "universal_sentence_encod": [5, 90, 363, 384], "universalsentenceencod": [5, 28, 44, 50, 90, 115, 235, 287, 304, 310, 375, 496, 524, 528], "word2vec": [5, 90, 100, 359, 363, 384], "word2vecapproach": [5, 90, 116, 376], "word2vecmodel": [5, 90, 116, 376], "wordembeddingsmodel": [5, 90, 97, 112, 117, 123, 139, 140, 142, 201, 356, 372, 377, 383, 400, 401, 403, 461], "xlm_roberta_embed": [5, 90, 363, 384], "xlmrobertaembed": [5, 90, 118, 378], "xlm_roberta_sentence_embed": [5, 90, 363, 384], "xlmrobertasentenceembed": [5, 90, 119, 379], "xlnet_embed": [5, 90, 363, 384], "xlnetembed": [5, 90, 120, 380], "entity_rul": [5, 121, 382, 384], "entityrulerapproach": [5, 121, 122, 381], "entityrulermodel": [5, 121, 122, 381], "yake_keyword_extract": [5, 124, 384, 385], "yakekeywordextract": [5, 124, 125, 386], "language_detector_dl": [5, 126, 384, 387], "languagedetectordl": [5, 126, 127, 388], "big_text_match": [5, 129, 384, 392], "bigtextmatch": [5, 129, 130, 134, 390, 395], "bigtextmatchermodel": [5, 129, 130, 390], "date_match": [5, 129, 384, 392], "datematch": [5, 82, 129, 131, 342, 391], "datematcherutil": [5, 129, 131, 132, 391], "multi_date_match": [5, 129, 384, 392], "multidatematch": [5, 82, 129, 131, 132, 342, 391, 393], "regex_match": [5, 129, 384, 392], "regexmatch": [5, 129, 133, 394], "regexmatchermodel": [5, 129, 133, 394], "text_match": [5, 129, 384, 392], "textmatch": [5, 129, 130, 134, 190, 390, 395, 450], "textmatchermodel": [5, 129, 130, 134, 390, 395], "ner_approach": [5, 136, 384, 397], "nerapproach": [5, 136, 137, 139, 140, 398], "ner_convert": [5, 136, 384, 397], "nerconvert": [5, 97, 136, 138, 139, 140, 235, 356, 399, 400, 401, 496, 524], "ner_crf": [5, 136, 384, 397], "nercrfapproach": [5, 136, 139, 140, 400, 401], "nercrfmodel": [5, 136, 139, 140, 400, 401], "ner_dl": [5, 136, 384, 397], "nerdlapproach": [5, 136, 139, 140, 141, 253, 400, 401, 402, 514, 534], "nerdlmodel": [5, 123, 136, 138, 139, 140, 142, 235, 242, 383, 399, 400, 401, 403, 496, 504, 524], "ner_dl_graph_check": [5, 136, 384, 397], "nerdlgraphcheck": [5, 136, 141, 402], "nerdlgraphcheckermodel": [5, 136, 141, 402], "ner_overwrit": [5, 136, 384, 397], "neroverwrit": [5, 136, 142, 403], "zero_shot_ner_model": [5, 136, 384, 397], "zeroshotnermodel": [5, 136, 143, 404], "openai_complet": [5, 145, 384, 406], "openaicomplet": [5, 145, 146, 407], "openai_embed": [5, 145, 384, 406], "openaiembed": [5, 145, 147, 408], "classifier_encod": [5, 148, 384, 411], "classifierencod": [5, 28, 44, 50, 148, 149, 409], "evaluation_dl_param": [5, 148, 384, 411], "evaluationdlparam": [5, 28, 44, 50, 140, 148, 150, 410], "perceptron": [5, 83, 84, 151, 343, 384, 412], "perceptronapproach": [5, 151, 152, 255, 413, 517, 534], "perceptronmodel": [5, 11, 84, 85, 123, 139, 151, 152, 253, 271, 343, 345, 383, 400, 413, 514], "sentence_detector": [5, 51, 143, 153, 311, 384, 404, 414], "sentencedetector": [5, 11, 28, 51, 63, 84, 85, 94, 97, 111, 115, 119, 123, 125, 128, 133, 135, 139, 140, 142, 143, 152, 153, 154, 155, 187, 190, 211, 213, 222, 253, 271, 287, 311, 323, 343, 345, 353, 356, 371, 375, 379, 383, 386, 389, 394, 396, 400, 401, 403, 404, 413, 415, 416, 448, 450, 472, 474, 483, 514, 528, 529], "sentencedetectorparam": [5, 153, 154, 415], "sentence_detector_dl": [5, 153, 170, 319, 384, 414, 431], "sentencedetectordlapproach": [5, 153, 155, 416], "sentencedetectordlmodel": [5, 153, 155, 170, 319, 416, 431], "sentiment_detector": [5, 156, 384, 417], "sentimentdetector": [5, 156, 157, 418], "sentimentdetectormodel": [5, 156, 157, 418], "vivekn_senti": [5, 156, 384, 417], "viveknsentimentapproach": [5, 156, 157, 158, 418, 419], "viveknsentimentmodel": [5, 156, 158, 419], "auto_gguf_model": [5, 92, 159, 351, 384, 427], "autoggufmodel": [5, 159, 160, 420], "auto_gguf_rerank": [5, 159, 384, 427], "autoggufrerank": [5, 159, 161, 203, 421, 463], "auto_gguf_vision_model": [5, 159, 384, 427], "autoggufvisionmodel": [5, 159, 160, 162, 420, 422], "bart_transform": [5, 159, 384, 427], "barttransform": [5, 159, 163, 423], "cohere_transform": [5, 159, 384, 427], "coheretransform": [5, 159, 164, 424], "cpm_transform": [5, 159, 384, 427], "cpmtransform": [5, 159, 165, 425], "gpt2_transform": [5, 159, 384, 427], "gpt2transform": [5, 159, 166, 426], "llama2_transform": [5, 159, 384, 427], "llama2transform": [5, 159, 167, 428], "llama3_transform": [5, 159, 384, 427], "llama3transform": [5, 159, 168, 429], "m2m100_transform": [5, 159, 384, 427], "m2m100transform": [5, 159, 169, 430], "marian_transform": [5, 159, 384, 427], "mariantransform": [5, 60, 159, 170, 319, 431], "mistral_transform": [5, 159, 384, 427], "mistraltransform": [5, 159, 171, 432], "nllb_transform": [5, 159, 384, 427], "nllbtransform": [5, 159, 172, 433], "olmo_transform": [5, 159, 384, 427], "olmotransform": [5, 159, 173, 434], "phi2_transform": [5, 159, 384, 427], "phi2transform": [5, 159, 174, 435], "phi3_transform": [5, 159, 384, 427], "phi3transform": [5, 159, 175, 436], "phi4_transform": [5, 159, 384, 427], "phi4transform": [5, 159, 176, 437], "qwen_transform": [5, 159, 384, 427], "qwentransform": [5, 159, 177, 438], "starcoder_transform": [5, 159, 384, 427], "starcodertransform": [5, 159, 178, 439], "t5_transform": [5, 159, 384, 427], "t5transform": [5, 159, 179, 440], "document_similarity_rank": [5, 180, 384, 442], "documentsimilarityrankerapproach": [5, 180, 181, 441], "documentsimilarityrankerfinish": [5, 180, 181, 441], "documentsimilarityrankermodel": [5, 180, 181, 441], "context_spell_check": [5, 182, 384, 444], "contextspellcheckerapproach": [5, 182, 183, 184, 185, 443, 445, 446], "contextspellcheckermodel": [5, 182, 183, 184, 185, 443, 445, 446], "norvig_sweet": [5, 182, 384, 444], "norvigsweetingapproach": [5, 182, 183, 184, 185, 443, 445, 446, 534], "norvigsweetingmodel": [5, 182, 183, 184, 185, 443, 445, 446], "symmetric_delet": [5, 182, 384, 444], "symmetricdeleteapproach": [5, 182, 183, 184, 185, 443, 445, 446, 534], "symmetricdeletemodel": [5, 182, 183, 184, 185, 443, 445, 446], "chunk_token": [5, 189, 384, 451], "chunktoken": [5, 189, 190, 450], "chunktokenizermodel": [5, 189, 190, 450], "recursive_token": [5, 189, 384, 451], "recursivetoken": [5, 189, 191, 452], "recursivetokenizermodel": [5, 189, 191, 452], "regex_token": [5, 189, 384, 451], "regextoken": [5, 189, 192, 196, 453, 457, 529], "tokenizermodel": [5, 130, 189, 190, 193, 390, 454], "word_segment": [5, 195, 384, 456], "wordsegmenterapproach": [5, 195, 196, 457], "wordsegmentermodel": [5, 195, 196, 457], "inputannotatortyp": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 212, 213, 214, 217, 236, 239, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 459, 473, 474, 477, 501], "name": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 219, 222, 225, 227, 232, 235, 236, 238, 239, 241, 242, 244, 246, 247, 248, 249, 250, 253, 255, 259, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 347, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 473, 474, 477, 483, 486, 488, 494, 496, 500, 501, 503, 504, 508, 509, 510, 511, 512, 514, 517, 521, 524, 528], "outputannotatortyp": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 146, 147, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 189, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 207, 209, 210, 212, 213, 214, 217, 228, 230, 236, 239, 244, 247, 248, 249, 250, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 452, 453, 454, 455, 457, 458, 459, 460, 467, 470, 471, 473, 474, 477, 491, 501, 509, 510, 511, 512], "setparam": [5, 10, 81, 180, 181, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 213, 214, 216, 244, 247, 248, 249, 250, 270, 341, 441, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 474, 476, 509, 510, 511, 512], "regexpars": [5, 11, 271], "setregexpars": [5, 11, 271], "docach": [5, 81, 341], "executorcor": [5, 81, 341], "numpartit": [5, 81, 90, 100, 116, 341, 359, 376], "numwork": [5, 81, 341], "outputopt": [5, 81, 341], "persistformat": [5, 81, 341], "persistpath": [5, 81, 341], "setdocach": [5, 81, 341], "setexecutorcor": [5, 81, 341], "setnumpartit": [5, 81, 90, 100, 116, 341, 359, 376], "setnumwork": [5, 81, 341], "setoutputopt": [5, 81, 341], "setpersistformat": [5, 81, 341], "setpersistpath": [5, 81, 341], "entitynam": [5, 82, 342], "setentitynam": [5, 82, 342], "chunkoverlap": [5, 86, 346], "chunksiz": [5, 86, 346], "explodesplit": [5, 86, 88, 346, 348], "keepsepar": [5, 86, 346], "patternsareregex": [5, 86, 346], "setchunkoverlap": [5, 86, 346], "setchunks": [5, 86, 346], "setexplodesplit": [5, 86, 88, 346, 348], "setkeepsepar": [5, 86, 346], "setpatternsareregex": [5, 86, 346], "setsplitpattern": [5, 86, 189, 193, 346, 454], "settrimwhitespac": [5, 86, 88, 189, 192, 346, 348, 453], "splitpattern": [5, 86, 189, 193, 346, 454], "trimwhitespac": [5, 86, 88, 189, 192, 346, 348, 453], "action": [5, 87, 347], "automod": [5, 87, 121, 122, 347, 381], "encod": [5, 28, 59, 60, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 87, 93, 94, 98, 104, 105, 109, 115, 143, 163, 169, 170, 172, 235, 287, 319, 324, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 347, 352, 353, 357, 364, 365, 369, 375, 404, 423, 430, 431, 433, 496], "lowercas": [5, 59, 60, 87, 144, 192, 196, 197, 199, 319, 347, 405, 453, 457, 459], "pattern": [5, 11, 60, 61, 86, 87, 122, 131, 133, 144, 184, 185, 189, 192, 193, 195, 196, 210, 238, 271, 319, 320, 346, 347, 381, 391, 394, 405, 445, 446, 453, 454, 457, 471], "polici": [5, 87, 347], "presetpattern": [5, 87, 347], "replac": [5, 80, 87, 98, 102, 105, 127, 128, 142, 155, 163, 184, 185, 221, 340, 347, 357, 361, 365, 388, 389, 403, 416, 423, 445, 446, 482, 528], "setact": [5, 87, 347], "setautomod": [5, 87, 121, 122, 347, 381], "setencod": [5, 59, 60, 87, 319, 347], "setlowercas": [5, 59, 60, 87, 144, 197, 199, 213, 319, 347, 405, 459, 474], "setpattern": [5, 87, 189, 192, 195, 196, 347, 453, 457], "setpolici": [5, 87, 347], "setpresetpattern": [5, 87, 347], "setreplac": [5, 87, 347], "numtoken": [5, 88, 348], "setnumtoken": [5, 88, 348], "settokenoverlap": [5, 88, 348], "tokenoverlap": [5, 88, 348], "delimit": [5, 13, 19, 37, 45, 117, 122, 123, 128, 129, 133, 135, 139, 144, 157, 192, 212, 238, 253, 255, 272, 278, 296, 305, 377, 381, 383, 389, 394, 396, 400, 405, 418, 453, 473, 500, 514, 517], "entitytyp": [5, 123, 383], "explodeent": [5, 123, 383], "includeedg": [5, 123, 383], "maxsentences": [5, 123, 383], "mergeent": [5, 123, 383], "mergeentitiesiobformat": [5, 123, 383], "minsentences": [5, 123, 383], "optionalinputannotatortyp": [5, 121, 122, 123, 214, 217, 381, 383, 477], "posmodel": [5, 123, 383], "relationshiptyp": [5, 123, 383], "roottoken": [5, 123, 383], "setdelimit": [5, 123, 129, 133, 135, 383, 394, 396], "setdependencyparsermodel": [5, 123, 383], "setentitytyp": [5, 123, 383], "setexplodeent": [5, 123, 383], "setincludeedg": [5, 123, 383], "setmaxsentences": [5, 64, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 123, 324, 328, 330, 331, 332, 333, 334, 335, 336, 337, 383], "setmergeent": [5, 123, 383], "setmergeentitiesiobformat": [5, 123, 383], "setminsentences": [5, 123, 383], "setposmodel": [5, 123, 383], "setrelationshiptyp": [5, 123, 383], "setroottoken": [5, 123, 383], "settypeddependencyparsermodel": [5, 123, 383], "dictionari": [5, 81, 117, 125, 128, 133, 139, 142, 143, 144, 156, 157, 182, 184, 185, 210, 235, 259, 341, 377, 386, 389, 394, 400, 403, 404, 405, 418, 445, 446, 471, 496, 521], "formcol": [5, 128, 254, 389, 515], "lemmacol": [5, 128, 254, 389, 515], "setdictionari": [5, 128, 156, 157, 182, 184, 185, 389, 418, 445, 446], "setformcol": [5, 128, 389], "setlemmacol": [5, 128, 389], "enablecumul": [5, 135, 396], "n": [5, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 86, 88, 92, 119, 125, 135, 138, 139, 140, 146, 154, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 191, 208, 210, 212, 222, 227, 237, 238, 241, 261, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 346, 348, 351, 379, 386, 396, 399, 400, 401, 407, 415, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 452, 469, 471, 473, 483, 488, 499, 503], "setenablecumul": [5, 135, 396], "setn": [5, 97, 135, 356, 396], "cleanuppattern": [5, 87, 144, 347, 405], "maxlength": [5, 144, 153, 154, 155, 189, 192, 193, 405, 415, 416, 453, 454], "minlength": [5, 144, 153, 154, 155, 189, 192, 193, 405, 415, 416, 453, 454], "setcleanuppattern": [5, 144, 405], "setmaxlength": [5, 144, 153, 154, 155, 189, 192, 193, 405, 415, 416, 453, 454], "setminlength": [5, 144, 153, 154, 155, 189, 192, 193, 405, 415, 416, 453, 454], "setslangdictionari": [5, 144, 405], "slangdictionari": [5, 144, 405], "slangmatchcas": [5, 144, 405], "casesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 129, 130, 134, 182, 184, 187, 214, 222, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 390, 395, 445, 448, 483], "loaddefaultstopword": [5, 124, 125, 187, 386, 448], "setcasesensit": [5, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 97, 99, 105, 110, 118, 129, 130, 134, 139, 182, 184, 187, 201, 213, 214, 222, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 356, 358, 365, 370, 378, 390, 395, 400, 445, 448, 461, 474, 483], "setlocal": [5, 187, 448], "setstopword": [5, 124, 125, 142, 187, 386, 403, 448], "stopword": [5, 124, 125, 142, 187, 386, 403, 448], "getgraphfil": [5, 188, 449], "getgraphfold": [5, 188, 449], "gethiddenunitsnumb": [5, 188, 449], "getinputcol": [5, 180, 181, 188, 197, 201, 202, 203, 214, 217, 441, 449, 461, 462, 463, 477], "getlabelcolumn": [5, 136, 137, 188, 398, 449], "graphfil": [5, 188, 449], "graphfold": [5, 136, 140, 141, 182, 183, 188, 401, 402, 443, 449], "hiddenunitsnumb": [5, 188, 449], "inputcol": [5, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 28, 29, 30, 32, 33, 34, 36, 38, 39, 42, 44, 46, 47, 49, 50, 53, 54, 56, 57, 112, 127, 136, 141, 180, 181, 188, 197, 198, 200, 201, 202, 203, 204, 207, 209, 210, 214, 217, 236, 238, 239, 246, 274, 276, 277, 280, 282, 284, 286, 287, 289, 291, 293, 295, 299, 302, 304, 307, 309, 310, 314, 316, 317, 372, 388, 402, 441, 449, 458, 460, 461, 462, 463, 464, 467, 470, 471, 477, 500, 501, 508], "inputcolsvalid": [5, 188, 214, 217, 449, 477], "labelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 141, 148, 149, 188, 287, 304, 310, 398, 400, 401, 402, 409, 449], "setgraphfil": [5, 188, 449], "setgraphfold": [5, 136, 140, 141, 182, 183, 188, 401, 402, 443, 449], "sethiddenunitsnumb": [5, 188, 449], "setinputcol": [5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 214, 217, 235, 236, 238, 239, 244, 246, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 473, 474, 477, 496, 500, 501, 508, 524, 528, 529], "setlabelcolumn": [5, 28, 44, 50, 136, 137, 139, 140, 141, 148, 149, 188, 235, 287, 304, 310, 398, 400, 401, 402, 409, 449, 496, 524, 528], "avail": [5, 7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 125, 127, 128, 131, 133, 139, 140, 141, 152, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 196, 222, 241, 242, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 384, 386, 388, 389, 391, 394, 400, 401, 402, 413, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 446, 448, 457, 483, 491, 503, 504, 511, 524, 531], "configprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 126, 127, 136, 140, 148, 149, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 182, 183, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 388, 401, 409, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443], "loadsavedmodel": [6, 7, 8, 9, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 90, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440], "setconfigprotobyt": [6, 7, 8, 9, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 62, 63, 64, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 126, 127, 136, 140, 148, 149, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 182, 183, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 313, 314, 315, 316, 317, 318, 323, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 369, 370, 371, 375, 378, 379, 380, 388, 401, 409, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443], "getismultilingu": [6, 9, 269], "getlanguag": [6, 9, 269], "ismultilingu": [6, 9, 269], "setlanguag": [6, 9, 269], "settask": [6, 9, 159, 163, 166, 179, 214, 222, 269, 423, 426, 440, 483], "concern": [7, 8, 9, 15, 66, 67, 78, 79, 80, 82, 91, 266, 268, 269, 274, 325, 326, 338, 339, 340, 342, 350], "classnam": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 212, 215, 216, 224, 230, 239, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 394, 395, 400, 401, 402, 404, 405, 407, 408, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 454, 457, 473, 475, 476, 485, 491, 501], "java_model": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 146, 147, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 187, 190, 191, 193, 196, 206, 212, 216, 233, 239, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 394, 395, 400, 401, 402, 404, 405, 407, 408, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 448, 450, 452, 454, 457, 466, 473, 476, 495, 501], "hubert": [7, 266], "head": [7, 8, 9, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 63, 86, 91, 120, 138, 139, 140, 162, 208, 227, 241, 266, 268, 269, 272, 273, 274, 275, 278, 279, 280, 281, 283, 284, 285, 288, 289, 290, 292, 293, 294, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 312, 313, 314, 315, 317, 318, 323, 346, 350, 380, 399, 400, 401, 422, 469, 488, 503, 528], "top": [7, 8, 9, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 91, 125, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 203, 209, 222, 261, 266, 268, 269, 272, 273, 274, 275, 278, 279, 280, 281, 283, 284, 285, 288, 289, 290, 292, 293, 294, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 312, 313, 314, 315, 317, 318, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 350, 386, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 463, 470, 483], "connectionist": [7, 8, 9, 266, 268, 269], "tempor": [7, 8, 9, 266, 268, 269], "classif": [7, 8, 9, 12, 13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 66, 67, 78, 80, 91, 95, 101, 104, 106, 115, 158, 163, 179, 222, 259, 266, 268, 269, 272, 273, 274, 275, 278, 279, 280, 281, 283, 284, 285, 287, 288, 289, 290, 292, 293, 294, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 312, 313, 314, 315, 317, 318, 325, 326, 338, 340, 350, 354, 360, 364, 366, 375, 419, 423, 440, 483, 521, 528], "ctc": [7, 8, 9, 266, 268, 269], "wa": [7, 8, 15, 16, 18, 21, 22, 23, 28, 30, 31, 32, 34, 35, 36, 39, 40, 43, 47, 48, 49, 50, 54, 55, 56, 57, 58, 66, 67, 78, 86, 87, 88, 96, 98, 99, 105, 110, 111, 117, 118, 119, 125, 146, 147, 158, 163, 166, 167, 169, 171, 174, 178, 183, 237, 241, 266, 268, 274, 275, 277, 280, 281, 282, 287, 289, 290, 291, 293, 294, 295, 299, 300, 303, 307, 308, 309, 310, 314, 315, 316, 317, 318, 325, 326, 338, 346, 347, 348, 355, 357, 358, 365, 370, 371, 377, 378, 379, 386, 407, 408, 419, 423, 426, 428, 430, 432, 435, 439, 443, 499, 503, 528, 529], "propos": [7, 8, 67, 78, 91, 96, 98, 99, 107, 110, 111, 114, 118, 119, 120, 172, 266, 268, 326, 338, 350, 355, 357, 358, 367, 370, 371, 374, 378, 379, 380, 433], "self": [7, 8, 78, 91, 105, 106, 170, 266, 268, 319, 338, 350, 365, 366, 431], "supervis": [7, 8, 9, 91, 101, 103, 109, 115, 125, 163, 166, 169, 175, 266, 268, 269, 350, 360, 362, 369, 375, 386, 423, 426, 430, 436], "speech": [7, 8, 9, 11, 96, 151, 152, 196, 255, 259, 266, 268, 269, 271, 355, 412, 413, 457, 517, 534], "represent": [7, 8, 78, 91, 93, 94, 99, 100, 101, 103, 113, 116, 117, 118, 119, 120, 138, 179, 181, 212, 226, 238, 239, 266, 268, 338, 350, 352, 353, 358, 359, 360, 362, 373, 376, 377, 378, 379, 380, 399, 440, 441, 473, 487, 500], "learn": [7, 8, 28, 44, 50, 71, 73, 77, 82, 91, 99, 100, 103, 110, 111, 115, 116, 118, 119, 120, 125, 139, 140, 149, 155, 160, 161, 162, 163, 165, 166, 167, 168, 173, 174, 175, 177, 179, 183, 222, 235, 266, 268, 287, 304, 310, 331, 333, 337, 342, 350, 358, 359, 362, 370, 371, 375, 376, 378, 379, 380, 386, 400, 401, 409, 416, 420, 421, 422, 423, 425, 426, 428, 429, 434, 435, 436, 438, 440, 443, 483, 496, 526], "mask": [7, 78, 98, 107, 118, 119, 120, 163, 192, 266, 338, 357, 367, 378, 379, 380, 423, 453], "predict": [7, 9, 66, 78, 98, 107, 140, 160, 161, 162, 166, 179, 222, 235, 266, 269, 325, 338, 357, 367, 401, 420, 421, 422, 426, 440, 483, 496, 524], "hidden": [7, 14, 16, 20, 22, 24, 26, 29, 31, 33, 35, 38, 40, 41, 43, 46, 48, 52, 53, 55, 58, 91, 103, 120, 188, 266, 273, 275, 279, 281, 283, 285, 288, 290, 292, 294, 298, 300, 301, 303, 306, 308, 312, 313, 315, 318, 350, 362, 380, 449], "unit": [7, 166, 167, 188, 266, 426, 428, 449], "wei": [7, 78, 266, 338], "ning": [7, 266], "hsu": [7, 266], "benjamin": [7, 96, 266, 355], "bolt": [7, 266], "yao": [7, 266], "hung": [7, 266], "tsai": [7, 266], "kushal": [7, 266], "lakhotia": [7, 266], "ruslan": [7, 266], "salakhutdinov": [7, 266], "abdelrahman": [7, 8, 266, 268], "moham": [7, 8, 266, 268], "take": [7, 8, 17, 18, 23, 36, 49, 51, 56, 86, 88, 96, 107, 123, 134, 161, 162, 172, 184, 187, 193, 211, 253, 266, 268, 276, 277, 282, 295, 309, 311, 316, 346, 348, 355, 367, 383, 395, 409, 410, 421, 422, 433, 445, 448, 454, 472, 477, 483, 494, 500, 514, 527, 528, 532, 533], "transcrib": [7, 8, 9, 266, 268, 269], "text": [7, 8, 9, 10, 11, 12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 82, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 129, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 189, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 214, 221, 222, 223, 226, 227, 235, 237, 238, 239, 245, 246, 247, 248, 250, 251, 253, 254, 255, 256, 259, 260, 266, 268, 269, 270, 271, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 297, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 392, 393, 394, 395, 396, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 451, 452, 453, 454, 455, 457, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 482, 483, 484, 487, 488, 496, 499, 500, 501, 506, 508, 509, 510, 512, 513, 514, 515, 517, 518, 521, 522, 524, 527, 528, 529, 533, 534], "need": [7, 8, 9, 11, 17, 84, 85, 95, 99, 101, 109, 110, 117, 122, 123, 125, 128, 131, 133, 139, 140, 141, 144, 150, 152, 155, 158, 160, 162, 166, 169, 172, 174, 183, 184, 185, 192, 193, 198, 207, 208, 210, 235, 242, 253, 254, 255, 261, 266, 268, 269, 271, 276, 343, 345, 349, 354, 358, 360, 369, 370, 377, 381, 383, 386, 391, 394, 400, 401, 402, 405, 410, 413, 416, 419, 420, 422, 426, 430, 433, 435, 443, 445, 446, 453, 454, 458, 467, 469, 471, 496, 504, 514, 515, 517, 524, 526, 528, 529, 532, 534], "provid": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 131, 132, 133, 134, 139, 140, 144, 152, 155, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 196, 203, 208, 222, 227, 241, 250, 260, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 388, 389, 390, 391, 393, 394, 395, 400, 401, 405, 409, 410, 413, 416, 418, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 446, 457, 463, 469, 477, 483, 488, 490, 494, 500, 503, 512, 522, 529], "pre": [7, 8, 9, 28, 44, 50, 66, 80, 93, 94, 98, 99, 101, 103, 106, 107, 109, 115, 140, 150, 163, 179, 193, 200, 202, 209, 213, 254, 266, 268, 269, 287, 304, 310, 325, 340, 352, 353, 357, 358, 360, 362, 366, 367, 369, 375, 401, 410, 423, 440, 460, 462, 470, 474, 515, 528], "processor": [7, 8, 266, 268], "m1": [7, 8, 266, 268], "due": [7, 8, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 91, 105, 114, 163, 266, 268, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 350, 365, 374, 423], "instruct": [7, 8, 73, 76, 90, 104, 165, 168, 171, 175, 266, 268, 333, 336, 364, 425, 429, 432, 436], "xla": [7, 8, 266, 268], "can": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 133, 138, 139, 140, 142, 143, 146, 147, 152, 154, 155, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 194, 196, 200, 201, 209, 210, 211, 212, 217, 222, 226, 235, 241, 242, 247, 248, 251, 253, 254, 255, 261, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 394, 399, 400, 401, 403, 404, 407, 408, 413, 415, 416, 418, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 455, 457, 460, 461, 470, 471, 472, 473, 483, 487, 496, 503, 504, 509, 510, 513, 514, 515, 517, 524, 526, 528, 529, 531, 532, 533, 534], "companion": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 139, 140, 143, 152, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 196, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 400, 401, 404, 413, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 446, 448, 457, 492], "speechtotext": [7, 8, 9, 266, 268, 269], "setoutputcol": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 214, 217, 235, 236, 238, 239, 244, 246, 250, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 473, 474, 477, 496, 500, 501, 508, 512, 524, 528, 529], "asr_hubert_large_ls960": [7, 9, 266, 269], "For": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 143, 144, 146, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 193, 196, 200, 201, 202, 203, 209, 210, 213, 222, 235, 237, 241, 242, 256, 261, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 404, 405, 407, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 454, 457, 460, 461, 462, 463, 470, 471, 474, 483, 496, 499, 503, 504, 518, 524, 525, 527, 528, 529, 530, 531, 532], "pleas": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 72, 74, 75, 76, 78, 79, 80, 84, 85, 92, 93, 94, 95, 96, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 127, 128, 130, 131, 133, 134, 139, 140, 144, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 190, 191, 196, 200, 209, 210, 211, 242, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 332, 334, 335, 336, 338, 339, 340, 343, 345, 351, 352, 353, 354, 355, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 388, 389, 390, 391, 394, 395, 400, 401, 405, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 446, 448, 450, 452, 457, 460, 470, 471, 472, 504, 525, 526, 530, 533], "see": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 193, 196, 200, 201, 202, 203, 204, 209, 210, 213, 222, 225, 235, 241, 242, 256, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 454, 457, 460, 461, 462, 463, 464, 470, 471, 474, 483, 486, 496, 503, 504, 518, 524, 525, 526, 531, 533, 534], "hub": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 127, 128, 139, 140, 152, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 185, 187, 196, 242, 259, 262, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 388, 389, 400, 401, 413, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 446, 448, 457, 504, 521], "To": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 92, 93, 95, 96, 98, 99, 105, 110, 114, 118, 120, 125, 131, 133, 152, 154, 160, 161, 162, 163, 166, 173, 179, 196, 204, 208, 210, 211, 235, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 324, 325, 326, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 351, 352, 354, 355, 357, 358, 365, 370, 374, 378, 380, 386, 391, 394, 413, 415, 420, 421, 422, 423, 426, 434, 440, 457, 464, 469, 471, 472, 496, 524, 532], "which": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 91, 93, 94, 95, 96, 98, 99, 100, 103, 104, 105, 108, 110, 112, 113, 114, 115, 116, 118, 120, 123, 125, 131, 132, 133, 140, 143, 144, 146, 147, 154, 155, 157, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 192, 196, 201, 203, 208, 222, 227, 242, 253, 254, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 349, 350, 352, 353, 354, 355, 357, 358, 359, 362, 364, 365, 368, 370, 372, 373, 374, 375, 376, 378, 380, 383, 386, 391, 393, 394, 401, 404, 405, 407, 408, 415, 416, 418, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 445, 453, 457, 461, 463, 469, 483, 488, 504, 514, 515, 528, 529], "compat": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 96, 98, 99, 105, 110, 115, 118, 120, 140, 201, 207, 242, 260, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 324, 325, 326, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 355, 357, 358, 365, 370, 378, 380, 401, 461, 467, 504, 522], "import": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 207, 208, 209, 210, 211, 212, 213, 227, 235, 241, 246, 247, 250, 251, 253, 254, 255, 256, 257, 261, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 467, 469, 470, 471, 472, 473, 474, 488, 496, 503, 508, 509, 512, 513, 514, 515, 517, 518, 519, 524, 527, 528, 531, 532, 533, 534], "them": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 96, 98, 99, 105, 110, 118, 120, 122, 123, 125, 131, 133, 155, 168, 170, 178, 183, 187, 196, 207, 211, 213, 238, 248, 261, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 326, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 355, 357, 358, 365, 370, 378, 380, 381, 383, 386, 391, 394, 416, 429, 431, 439, 443, 448, 457, 467, 472, 474, 500, 510, 528, 529], "5669": [7, 8, 9, 66, 67, 78, 79, 80, 96, 266, 268, 269, 325, 326, 338, 339, 340, 355], "more": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 87, 96, 99, 101, 103, 104, 112, 118, 119, 123, 125, 131, 135, 138, 143, 146, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 192, 193, 200, 201, 202, 209, 210, 213, 222, 235, 237, 239, 241, 247, 248, 251, 256, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 347, 355, 358, 360, 362, 364, 372, 378, 379, 383, 386, 391, 396, 399, 404, 407, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 445, 453, 454, 460, 461, 462, 470, 471, 474, 483, 496, 499, 501, 503, 509, 510, 513, 518, 524, 525, 526, 528, 531, 534], "extend": [7, 8, 9, 11, 28, 44, 50, 63, 66, 67, 71, 73, 76, 77, 78, 79, 80, 84, 85, 86, 87, 88, 91, 92, 93, 94, 96, 97, 99, 103, 110, 112, 115, 117, 118, 120, 125, 127, 128, 131, 132, 133, 134, 135, 139, 140, 141, 143, 144, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 170, 179, 181, 183, 184, 186, 187, 191, 193, 196, 200, 201, 202, 203, 209, 210, 213, 241, 266, 268, 269, 271, 287, 304, 310, 319, 323, 325, 326, 331, 333, 336, 337, 338, 339, 340, 343, 345, 346, 347, 348, 350, 351, 352, 353, 355, 356, 358, 362, 370, 372, 375, 377, 378, 380, 386, 388, 389, 391, 393, 394, 395, 396, 400, 401, 402, 404, 405, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 431, 440, 441, 443, 445, 447, 448, 452, 454, 457, 460, 461, 462, 463, 470, 471, 474, 503], "exampl": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 211, 212, 213, 227, 235, 237, 239, 241, 242, 246, 247, 248, 250, 251, 253, 254, 255, 256, 257, 262, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 472, 473, 474, 488, 496, 499, 501, 503, 504, 508, 509, 510, 512, 513, 514, 515, 517, 518, 519, 524, 527, 528, 529, 531, 532, 533, 534], "hubertforctctestspec": [7, 266], "paper": [7, 9, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 113, 114, 115, 116, 118, 119, 120, 125, 155, 158, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 196, 222, 256, 266, 269, 319, 326, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 369, 370, 371, 373, 374, 375, 376, 378, 379, 380, 386, 416, 419, 423, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 457, 518, 534], "abstract": [7, 9, 67, 78, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 113, 114, 115, 118, 119, 120, 125, 163, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 256, 266, 269, 319, 326, 338, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 369, 370, 371, 373, 374, 375, 378, 379, 380, 386, 423, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 449, 486, 518, 534], "approach": [7, 9, 67, 78, 102, 106, 110, 111, 114, 120, 125, 137, 139, 140, 143, 155, 157, 163, 166, 167, 168, 171, 174, 179, 183, 184, 185, 215, 266, 269, 326, 338, 361, 366, 370, 371, 374, 380, 386, 398, 400, 401, 404, 416, 418, 423, 426, 428, 429, 432, 435, 440, 443, 445, 446, 475, 531], "challeng": [7, 44, 78, 99, 103, 104, 110, 111, 114, 125, 171, 172, 174, 266, 304, 338, 358, 362, 364, 370, 371, 374, 386, 432, 433, 435], "three": [7, 95, 183, 194, 266, 354, 443, 455], "uniqu": [7, 146, 147, 163, 225, 266, 407, 408, 423, 486], "problem": [7, 17, 44, 91, 103, 107, 114, 163, 179, 183, 196, 266, 276, 304, 350, 362, 367, 374, 423, 440, 443, 457], "multipl": [7, 9, 13, 19, 37, 44, 45, 77, 80, 87, 95, 96, 122, 125, 131, 154, 161, 163, 168, 172, 177, 178, 181, 193, 227, 235, 237, 238, 246, 250, 253, 266, 269, 272, 278, 296, 304, 305, 337, 340, 354, 355, 381, 386, 391, 415, 421, 423, 429, 433, 438, 439, 441, 454, 488, 496, 499, 500, 508, 512, 514], "sound": [7, 86, 266, 346], "each": [7, 8, 17, 18, 23, 27, 28, 32, 36, 44, 49, 50, 56, 67, 78, 79, 80, 86, 95, 98, 100, 101, 107, 109, 112, 116, 117, 122, 123, 125, 128, 130, 131, 133, 134, 135, 137, 139, 140, 141, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 161, 162, 163, 177, 181, 183, 184, 185, 192, 193, 196, 200, 209, 221, 222, 227, 233, 250, 255, 266, 268, 276, 277, 282, 286, 287, 291, 295, 304, 309, 310, 316, 326, 338, 339, 340, 346, 354, 357, 359, 360, 367, 369, 372, 376, 377, 381, 383, 386, 389, 390, 391, 394, 395, 396, 398, 400, 401, 404, 405, 407, 408, 410, 413, 415, 416, 418, 421, 422, 423, 438, 441, 443, 445, 446, 453, 454, 457, 460, 470, 482, 483, 488, 495, 512, 517, 529], "input": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 143, 144, 146, 147, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 208, 209, 210, 212, 213, 217, 222, 227, 233, 237, 238, 239, 241, 246, 250, 253, 254, 255, 256, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 402, 403, 404, 405, 407, 408, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 469, 470, 471, 473, 474, 477, 483, 488, 495, 499, 500, 501, 503, 508, 512, 514, 515, 517, 518, 528, 529, 532, 534], "utter": [7, 266], "lexicon": [7, 266], "phase": [7, 99, 141, 163, 266, 358, 402, 423], "have": [7, 17, 18, 23, 28, 36, 44, 49, 50, 56, 88, 91, 96, 99, 104, 110, 111, 117, 125, 133, 135, 138, 139, 140, 142, 146, 152, 154, 155, 161, 162, 164, 165, 166, 167, 168, 172, 173, 174, 175, 177, 185, 194, 210, 213, 261, 266, 276, 277, 282, 287, 295, 304, 309, 310, 316, 348, 349, 350, 355, 358, 364, 370, 371, 377, 386, 394, 396, 399, 400, 401, 403, 407, 413, 415, 416, 421, 422, 424, 425, 426, 428, 429, 433, 434, 435, 436, 438, 446, 455, 471, 474, 491, 511, 528, 529, 532], "variabl": [7, 100, 116, 210, 266, 359, 376, 471], "length": [7, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 86, 88, 91, 93, 94, 95, 96, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 135, 144, 146, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 192, 193, 210, 222, 237, 238, 246, 266, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 346, 348, 349, 350, 352, 353, 354, 355, 357, 358, 359, 360, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 376, 378, 379, 380, 396, 405, 407, 415, 416, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 453, 454, 471, 483, 499, 508], "explicit": [7, 131, 154, 166, 266, 349, 415, 426], "segment": [7, 63, 67, 68, 78, 99, 110, 195, 196, 259, 266, 323, 326, 327, 338, 358, 370, 456, 457], "deal": [7, 208, 266, 469, 532], "we": [7, 8, 9, 28, 44, 67, 78, 80, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 114, 115, 116, 118, 119, 120, 125, 139, 140, 141, 144, 146, 155, 160, 161, 162, 163, 166, 167, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 183, 184, 193, 208, 210, 227, 261, 266, 268, 269, 287, 304, 319, 326, 338, 340, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 369, 370, 371, 374, 375, 376, 378, 379, 380, 386, 400, 401, 402, 405, 407, 416, 420, 421, 422, 423, 426, 428, 430, 431, 432, 433, 434, 435, 436, 438, 439, 440, 443, 445, 454, 469, 471, 488, 524, 527, 528, 529, 532, 533, 534], "bert": [7, 15, 19, 20, 21, 22, 23, 25, 27, 30, 34, 35, 39, 42, 47, 51, 54, 57, 79, 91, 93, 94, 98, 99, 105, 106, 107, 110, 111, 113, 118, 119, 120, 140, 142, 143, 163, 179, 266, 274, 278, 279, 280, 281, 282, 284, 286, 289, 293, 294, 299, 302, 307, 311, 314, 317, 339, 350, 352, 353, 357, 358, 365, 366, 367, 370, 371, 373, 378, 379, 380, 401, 403, 404, 423, 440], "offlin": [7, 235, 266, 496], "step": [7, 28, 44, 50, 100, 116, 140, 150, 235, 266, 287, 304, 310, 359, 376, 401, 410, 496, 524, 528], "align": [7, 175, 177, 266, 436, 438], "target": [7, 81, 115, 128, 160, 161, 162, 163, 169, 170, 172, 193, 199, 208, 222, 241, 266, 319, 341, 375, 420, 421, 422, 423, 430, 431, 433, 454, 459, 469, 483, 503], "label": [7, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 44, 47, 48, 49, 50, 54, 55, 56, 57, 58, 66, 67, 78, 80, 84, 85, 95, 101, 114, 122, 127, 137, 138, 139, 140, 141, 143, 149, 150, 157, 158, 179, 183, 188, 196, 222, 235, 253, 266, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 325, 326, 338, 340, 343, 345, 354, 360, 374, 381, 388, 398, 399, 400, 401, 402, 404, 409, 410, 418, 419, 440, 443, 449, 457, 483, 496, 514, 524, 528], "loss": [7, 91, 99, 104, 140, 179, 266, 350, 358, 364, 401, 440, 524], "A": [7, 8, 50, 63, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 102, 110, 111, 113, 117, 122, 125, 128, 130, 133, 134, 135, 143, 144, 146, 147, 157, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 184, 185, 192, 193, 203, 207, 222, 235, 237, 251, 255, 261, 266, 268, 310, 323, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 349, 350, 361, 370, 371, 373, 377, 381, 386, 389, 390, 394, 395, 396, 404, 405, 407, 408, 418, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 445, 446, 453, 454, 463, 467, 483, 496, 499, 513, 517, 526, 528, 534], "ingredi": [7, 266], "our": [7, 91, 95, 96, 99, 100, 101, 103, 104, 105, 110, 111, 115, 116, 118, 119, 125, 155, 163, 166, 167, 168, 169, 171, 172, 174, 175, 177, 178, 179, 227, 241, 266, 350, 354, 355, 358, 359, 360, 362, 364, 365, 370, 371, 375, 376, 378, 379, 386, 416, 423, 426, 428, 429, 430, 432, 433, 435, 436, 438, 439, 440, 488, 503, 533], "appli": [7, 10, 28, 44, 50, 67, 80, 86, 87, 122, 123, 140, 142, 150, 154, 160, 161, 162, 179, 183, 184, 202, 203, 210, 222, 227, 228, 231, 238, 253, 266, 270, 287, 304, 310, 326, 340, 346, 347, 381, 383, 401, 403, 410, 415, 420, 421, 422, 440, 443, 445, 462, 463, 471, 483, 488, 492, 514], "over": [7, 69, 86, 99, 107, 118, 119, 120, 163, 167, 171, 172, 184, 187, 193, 222, 227, 235, 266, 328, 346, 358, 367, 378, 379, 380, 423, 428, 432, 433, 445, 454, 483, 488, 496, 524], "region": [7, 266], "onli": [7, 9, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 87, 95, 101, 102, 103, 106, 107, 115, 120, 122, 131, 133, 144, 146, 154, 155, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 191, 196, 203, 210, 211, 221, 222, 238, 246, 253, 260, 266, 269, 319, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 346, 347, 354, 360, 361, 362, 366, 367, 375, 380, 381, 391, 394, 405, 407, 415, 416, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 452, 457, 463, 471, 472, 482, 483, 500, 508, 514, 522], "forc": [7, 92, 160, 161, 162, 222, 238, 246, 266, 351, 420, 421, 422, 483], "combin": [7, 17, 18, 23, 27, 32, 36, 49, 56, 79, 87, 99, 105, 117, 122, 125, 163, 169, 172, 179, 183, 184, 196, 250, 266, 276, 277, 282, 286, 291, 295, 309, 316, 339, 358, 365, 377, 386, 423, 430, 433, 440, 443, 445, 457, 512], "acoust": [7, 266], "continu": [7, 138, 160, 161, 162, 166, 181, 204, 222, 266, 399, 420, 421, 422, 426, 441, 464, 483, 524], "reli": [7, 84, 85, 120, 125, 266, 343, 345, 380, 386], "primarili": [7, 114, 266, 374], "consist": [7, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 98, 105, 133, 152, 158, 174, 177, 196, 212, 250, 255, 266, 324, 328, 330, 331, 332, 333, 334, 335, 336, 337, 350, 357, 365, 394, 413, 419, 435, 438, 457, 473, 512, 517], "unsupervis": [7, 118, 119, 120, 125, 163, 166, 266, 378, 379, 380, 386, 423, 426], "rather": [7, 67, 92, 160, 161, 162, 222, 266, 326, 349, 351, 420, 421, 422, 483], "than": [7, 44, 50, 67, 92, 95, 99, 100, 102, 104, 106, 116, 118, 119, 120, 125, 127, 135, 139, 146, 160, 161, 162, 165, 166, 167, 168, 169, 170, 174, 175, 178, 184, 185, 222, 266, 304, 310, 326, 349, 351, 354, 358, 359, 361, 364, 366, 376, 378, 379, 380, 386, 388, 396, 400, 407, 420, 421, 422, 425, 426, 428, 429, 430, 431, 435, 436, 439, 445, 446, 483, 528], "intrins": [7, 67, 266, 326], "qualiti": [7, 70, 78, 113, 114, 166, 168, 169, 172, 175, 178, 266, 330, 338, 373, 374, 426, 429, 430, 433, 436, 439], "assign": [7, 44, 122, 142, 157, 266, 304, 381, 403, 418], "simpl": [7, 60, 93, 94, 106, 122, 166, 266, 319, 352, 353, 366, 381, 426, 529], "k": [7, 9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 201, 203, 222, 266, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 461, 463, 483], "mean": [7, 9, 11, 17, 18, 23, 27, 32, 36, 44, 49, 56, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 92, 108, 113, 114, 118, 125, 127, 131, 132, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 192, 201, 208, 210, 222, 266, 269, 271, 276, 277, 282, 286, 291, 295, 304, 309, 316, 319, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 351, 368, 373, 374, 378, 386, 388, 391, 393, 407, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 453, 461, 469, 471, 483, 528, 529, 532], "teacher": [7, 266], "100": [7, 28, 44, 51, 80, 100, 116, 118, 125, 146, 155, 169, 212, 251, 266, 287, 304, 311, 340, 359, 376, 378, 386, 407, 416, 430, 473, 513], "two": [7, 44, 71, 72, 73, 75, 76, 77, 78, 84, 85, 91, 98, 100, 115, 116, 117, 118, 119, 123, 141, 162, 175, 194, 210, 253, 266, 304, 331, 332, 333, 335, 336, 337, 338, 343, 345, 350, 357, 359, 375, 376, 377, 378, 379, 383, 402, 422, 436, 455, 471, 514, 528], "iter": [7, 84, 85, 91, 100, 116, 152, 168, 196, 210, 235, 266, 343, 345, 350, 359, 376, 413, 429, 457, 471, 496, 524], "either": [7, 9, 28, 50, 80, 81, 85, 96, 97, 112, 122, 125, 127, 133, 157, 158, 179, 196, 199, 208, 209, 212, 241, 246, 266, 269, 287, 310, 340, 341, 345, 355, 356, 372, 381, 386, 388, 394, 418, 419, 440, 457, 459, 469, 470, 473, 503, 508, 529], "match": [7, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 67, 71, 87, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 122, 129, 130, 131, 132, 133, 134, 144, 152, 154, 163, 166, 168, 178, 193, 196, 199, 210, 219, 221, 222, 266, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 326, 331, 347, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 376, 378, 379, 380, 381, 390, 391, 392, 393, 394, 395, 405, 413, 415, 423, 426, 429, 439, 454, 457, 459, 471, 482, 483, 527], "improv": [7, 81, 91, 93, 94, 96, 98, 103, 104, 110, 111, 114, 118, 119, 139, 140, 166, 167, 168, 172, 173, 174, 175, 177, 179, 181, 238, 266, 341, 350, 352, 353, 355, 357, 362, 364, 370, 371, 374, 378, 379, 400, 401, 426, 428, 429, 433, 434, 435, 436, 438, 440, 441, 533], "upon": [7, 70, 88, 95, 125, 160, 161, 162, 177, 178, 222, 266, 330, 348, 354, 386, 420, 421, 422, 438, 439, 483], "state": [7, 14, 16, 20, 22, 24, 26, 28, 29, 31, 33, 35, 38, 40, 41, 43, 44, 46, 48, 50, 52, 53, 55, 58, 67, 69, 78, 80, 91, 93, 94, 96, 101, 103, 104, 105, 107, 110, 111, 114, 120, 125, 140, 163, 166, 167, 172, 173, 174, 175, 176, 179, 209, 266, 273, 275, 279, 281, 283, 285, 287, 288, 290, 292, 294, 298, 300, 301, 303, 304, 306, 308, 310, 312, 313, 315, 318, 326, 328, 338, 340, 350, 352, 353, 355, 360, 362, 364, 365, 367, 370, 371, 374, 380, 386, 401, 423, 426, 428, 433, 434, 435, 436, 437, 440, 470, 525, 528], "art": [7, 28, 44, 67, 69, 78, 80, 91, 93, 94, 95, 96, 101, 103, 104, 105, 107, 110, 111, 114, 120, 125, 140, 163, 166, 172, 173, 174, 175, 176, 179, 209, 266, 287, 304, 326, 328, 338, 340, 350, 352, 353, 354, 355, 360, 362, 364, 365, 367, 370, 371, 374, 380, 386, 401, 423, 426, 433, 434, 435, 436, 437, 440, 470], "wav2vec": [7, 8, 266, 268], "perform": [7, 67, 71, 77, 78, 80, 81, 87, 91, 95, 96, 98, 99, 101, 102, 103, 104, 106, 109, 110, 111, 113, 115, 117, 118, 119, 120, 140, 141, 158, 163, 164, 165, 166, 167, 168, 169, 171, 172, 174, 175, 177, 178, 179, 181, 184, 238, 251, 266, 326, 331, 337, 338, 340, 341, 347, 350, 354, 355, 357, 358, 360, 361, 362, 364, 366, 369, 370, 371, 373, 375, 377, 378, 379, 380, 401, 402, 419, 423, 424, 425, 426, 428, 429, 430, 432, 433, 435, 436, 438, 439, 440, 441, 445, 513], "librispeech": [7, 266], "960h": [7, 266], "libri": [7, 266], "light": [7, 99, 120, 125, 208, 262, 266, 358, 380, 386, 469, 531, 533], "60": [7, 99, 154, 164, 168, 176, 266, 358, 415, 424, 429, 437], "000h": [7, 266], "benchmark": [7, 9, 73, 80, 91, 95, 98, 99, 101, 103, 106, 118, 119, 163, 165, 167, 168, 171, 172, 174, 175, 178, 179, 259, 266, 269, 333, 340, 350, 354, 357, 358, 360, 362, 366, 378, 379, 423, 425, 428, 429, 432, 433, 435, 436, 439, 440, 521], "10min": [7, 266], "1h": [7, 266], "10h": [7, 266], "100h": [7, 266], "fine": [7, 9, 63, 93, 94, 99, 101, 102, 106, 107, 143, 163, 167, 168, 171, 174, 175, 179, 257, 266, 269, 323, 352, 353, 358, 360, 361, 366, 367, 404, 423, 428, 429, 432, 435, 436, 440, 519], "tune": [7, 9, 63, 73, 81, 93, 94, 99, 101, 102, 106, 107, 143, 163, 167, 168, 171, 174, 175, 179, 266, 269, 323, 333, 341, 352, 353, 358, 360, 361, 366, 367, 404, 423, 428, 429, 432, 435, 436, 440], "subset": [7, 172, 266, 433], "1b": [7, 266], "show": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 227, 237, 239, 242, 246, 247, 250, 251, 253, 254, 255, 256, 257, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 467, 470, 471, 473, 474, 488, 499, 501, 504, 508, 509, 512, 513, 514, 515, 517, 518, 519, 524, 527, 528, 529, 533], "19": [7, 82, 95, 101, 109, 135, 255, 257, 266, 342, 354, 360, 369, 396, 517, 519], "13": [7, 10, 11, 63, 118, 119, 123, 152, 174, 178, 202, 257, 266, 270, 271, 323, 378, 379, 383, 413, 435, 439, 462, 519], "rel": [7, 96, 98, 118, 131, 132, 139, 165, 172, 183, 266, 355, 357, 378, 391, 393, 400, 425, 433, 443, 527], "wer": [7, 266], "reduct": [7, 91, 184, 266, 350, 445], "dev": [7, 78, 91, 103, 115, 266, 338, 350, 362, 375], "other": [7, 10, 44, 67, 79, 88, 96, 108, 109, 112, 113, 114, 115, 123, 125, 144, 157, 163, 166, 169, 178, 179, 183, 190, 191, 201, 202, 261, 266, 270, 304, 326, 339, 348, 355, 368, 369, 372, 373, 374, 375, 383, 386, 405, 418, 423, 426, 430, 439, 440, 443, 450, 452, 461, 462, 528], "test": [7, 28, 44, 50, 66, 67, 70, 71, 73, 76, 77, 78, 79, 80, 84, 85, 93, 94, 115, 117, 128, 130, 133, 134, 139, 140, 141, 150, 152, 162, 166, 167, 174, 175, 184, 185, 190, 196, 237, 253, 254, 255, 256, 257, 266, 287, 304, 310, 325, 326, 330, 331, 333, 336, 337, 338, 339, 340, 343, 345, 349, 352, 353, 375, 377, 389, 390, 394, 395, 400, 401, 402, 410, 413, 422, 426, 428, 435, 436, 445, 446, 450, 457, 499, 514, 515, 517, 518, 519, 528, 534], "evalu": [7, 28, 44, 50, 96, 101, 104, 105, 106, 114, 118, 119, 150, 163, 164, 167, 169, 171, 172, 173, 174, 178, 217, 235, 237, 238, 266, 287, 304, 310, 355, 360, 364, 365, 366, 374, 378, 379, 410, 423, 424, 428, 430, 432, 433, 434, 435, 439, 477, 496, 499], "batchsiz": [7, 8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 64, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 90, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 136, 140, 148, 149, 163, 170, 182, 183, 214, 222, 266, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 401, 409, 423, 431, 443, 483], "size": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 123, 125, 140, 149, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 214, 222, 237, 238, 239, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 346, 347, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 376, 377, 378, 379, 380, 383, 386, 401, 409, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 483, 499, 500, 527, 532, 533], "batch": [7, 8, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 66, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 140, 149, 160, 161, 162, 163, 170, 183, 222, 266, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 350, 351, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 401, 409, 420, 421, 422, 423, 431, 443, 483], "refer": [7, 9, 63, 67, 69, 72, 73, 74, 75, 76, 78, 80, 91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 109, 110, 111, 113, 114, 115, 116, 118, 119, 120, 125, 143, 146, 147, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 196, 199, 200, 209, 222, 225, 237, 261, 262, 266, 269, 319, 323, 326, 328, 332, 333, 334, 335, 336, 338, 340, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 369, 370, 371, 373, 374, 375, 376, 378, 379, 380, 386, 404, 407, 408, 415, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 457, 459, 460, 470, 483, 486, 499, 528, 530, 531], "ml": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 198, 199, 200, 201, 203, 207, 208, 209, 211, 212, 213, 235, 246, 247, 250, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 463, 467, 469, 470, 472, 473, 474, 496, 508, 509, 512, 524, 528, 532], "audio_cont": [7, 8, 9, 198, 266, 268, 269, 458], "setstag": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 201, 203, 212, 213, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 461, 463, 473, 474, 528, 529], "processedaudiofloat": [7, 8, 9, 266, 268, 269], "createdatafram": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 82, 84, 85, 87, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 203, 209, 210, 212, 213, 227, 235, 239, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 323, 342, 343, 345, 347, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 460, 461, 462, 463, 470, 471, 473, 474, 488, 496, 501, 524, 527, 528, 529, 533], "rawfloat": [7, 8, 9, 266, 268, 269], "todf": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 63, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 142, 143, 144, 146, 147, 152, 154, 155, 157, 158, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 201, 202, 207, 209, 210, 212, 213, 227, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 323, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 403, 404, 405, 407, 408, 413, 415, 416, 418, 419, 420, 421, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 460, 461, 462, 467, 470, 471, 473, 474, 488, 527, 528, 529, 533], "fit": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 144, 150, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 201, 203, 208, 211, 212, 213, 228, 233, 235, 239, 246, 247, 250, 266, 268, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 402, 403, 404, 405, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 459, 461, 463, 469, 472, 473, 474, 495, 496, 501, 508, 509, 512, 524, 528, 529, 532], "select": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 82, 87, 92, 97, 99, 102, 117, 123, 125, 127, 139, 140, 143, 146, 147, 158, 160, 161, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 191, 196, 198, 200, 202, 203, 204, 207, 209, 210, 212, 213, 227, 235, 250, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 342, 351, 356, 358, 361, 377, 383, 386, 388, 400, 401, 404, 407, 408, 419, 420, 421, 423, 424, 425, 426, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 452, 457, 458, 460, 462, 463, 464, 467, 470, 471, 473, 474, 488, 496, 512, 524, 529], "truncat": [7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 66, 67, 69, 70, 71, 73, 77, 78, 79, 80, 82, 84, 85, 86, 87, 88, 92, 102, 117, 122, 123, 125, 127, 128, 130, 131, 132, 133, 134, 135, 138, 139, 140, 142, 143, 144, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 190, 191, 192, 193, 194, 196, 199, 200, 202, 203, 204, 209, 210, 212, 213, 227, 251, 255, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 325, 326, 328, 330, 331, 333, 337, 338, 339, 340, 342, 343, 345, 346, 347, 348, 351, 361, 377, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 399, 400, 401, 403, 404, 405, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 450, 452, 453, 454, 455, 457, 459, 460, 462, 463, 464, 470, 471, 473, 474, 488, 513, 517, 527, 528, 529], "mister": [7, 8, 266, 268], "quilter": [7, 8, 9, 266, 268, 269], "THE": [7, 8, 87, 266, 268, 347], "apostl": [7, 8, 9, 266, 268, 269], "OF": [7, 8, 91, 266, 268, 350], "midl": [7, 8, 266, 268], "clase": [7, 8, 266, 268], "AND": [7, 8, 266, 268], "glad": [7, 8, 9, 266, 268, 269], "TO": [7, 8, 253, 266, 268, 514, 534], "welcom": [7, 8, 9, 262, 266, 268, 269], "hi": [7, 8, 9, 88, 143, 155, 266, 268, 269, 348, 404, 416], "gospel": [7, 8, 9, 266, 268, 269], "parent": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 219, 222, 225, 238, 239, 246, 247, 248, 250, 343, 345], "undefin": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 219, 222, 225, 238, 239, 246, 247, 248, 250], "doc": [7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 60, 61, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 125, 127, 128, 130, 131, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 146, 147, 149, 150, 152, 154, 155, 157, 158, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 191, 192, 193, 196, 198, 199, 200, 201, 202, 203, 204, 207, 209, 210, 212, 213, 217, 219, 222, 225, 237, 238, 239, 244, 246, 247, 248, 250, 251, 256, 407, 408, 443, 499, 500, 501, 509, 513, 518, 534], "configproto": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 388, 401, 409, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443], "tensorflow": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 125, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 386, 388, 401, 409, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443], "get": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 125, 127, 137, 140, 141, 149, 152, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 188, 193, 196, 198, 200, 201, 202, 203, 207, 208, 209, 217, 219, 222, 225, 232, 238, 262, 269, 287, 304, 351, 386, 398, 402, 413, 421, 441, 443, 449, 454, 457, 458, 460, 461, 462, 463, 467, 469, 470, 477, 479, 483, 486, 494, 500, 524, 528, 533, 534], "config_proto": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183], "serializetostr": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 71, 72, 73, 75, 76, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 127, 140, 149, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183], "folder": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 140, 141, 150, 155, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 185, 188, 242, 253, 259, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 401, 402, 410, 416, 421, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 446, 449, 504, 514, 521], "spark_sess": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 91, 92, 93, 94, 95, 96, 98, 99, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 118, 119, 120, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 350, 351, 352, 353, 354, 355, 357, 358, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 378, 379, 380, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440], "restor": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457], "lang": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 241, 242, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 503, 504, 528, 533], "en": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 120, 122, 123, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 241, 242, 254, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 285, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 380, 381, 383, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 503, 504, 515, 528, 533, 534], "remote_loc": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 241, 242, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 503, 504], "remot": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 238, 241, 242, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 500, 503, 504], "address": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 61, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 86, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 320, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 346, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457], "resourc": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 122, 127, 128, 130, 133, 134, 139, 140, 141, 143, 144, 150, 152, 155, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 190, 193, 196, 211, 223, 226, 238, 240, 242, 253, 254, 255, 256, 257, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 381, 388, 389, 390, 394, 395, 400, 401, 402, 404, 405, 410, 413, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 450, 454, 457, 472, 484, 487, 500, 502, 504, 514, 515, 517, 518, 519, 528, 534], "Will": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 154, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 219, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 390, 395, 400, 401, 404, 413, 415, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 479], "repositori": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 241, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 503, 525], "otherwis": [7, 8, 9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 63, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 84, 85, 91, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 119, 120, 127, 128, 130, 134, 139, 140, 143, 152, 155, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 187, 193, 196, 199, 222, 235, 238, 266, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 343, 345, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 375, 376, 377, 378, 379, 380, 388, 389, 390, 395, 400, 401, 404, 413, 416, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 448, 454, 457, 459, 483, 496, 500], "b": [7, 8, 9, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 63, 67, 69, 71, 72, 73, 75, 76, 77, 78, 79, 80, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 109, 110, 111, 115, 118, 119, 120, 127, 130, 134, 138, 139, 140, 142, 143, 149, 154, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 196, 208, 227, 241, 253, 256, 266, 268, 269, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 298, 299, 300, 303, 304, 306, 307, 308, 309, 310, 313, 314, 315, 316, 317, 318, 323, 326, 328, 331, 332, 333, 335, 336, 337, 338, 339, 340, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 369, 370, 371, 375, 378, 379, 380, 388, 390, 395, 399, 400, 401, 403, 404, 409, 415, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 457, 469, 488, 503, 514, 518, 534], "wav2vec2": [8, 268], "framework": [8, 71, 163, 170, 173, 179, 261, 268, 319, 331, 349, 423, 431, 434, 440], "alexei": [8, 268], "baevski": [8, 268], "henri": [8, 268], "zhou": [8, 268], "michael": [8, 190, 268, 450], "auli": [8, 268], "asr_wav2vec2_base_960h": [8, 268], "wav2vec2forctctestspec": [8, 268], "whisper": [9, 269], "automat": [9, 87, 123, 125, 141, 143, 160, 170, 184, 237, 250, 269, 319, 347, 349, 383, 386, 402, 404, 420, 431, 445, 499, 512, 527, 528], "recognit": [9, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 67, 73, 80, 96, 136, 139, 140, 143, 259, 269, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318, 326, 333, 340, 355, 397, 400, 401, 404, 521], "asr": [9, 269], "system": [9, 76, 92, 125, 160, 161, 162, 163, 166, 168, 169, 172, 176, 210, 222, 269, 336, 351, 386, 420, 421, 422, 423, 426, 429, 430, 433, 437, 471, 483], "680": [9, 269], "000": [9, 51, 125, 166, 172, 196, 212, 269, 311, 386, 426, 433, 457, 473], "hour": [9, 88, 131, 132, 269, 348, 391, 393], "multilingu": [9, 69, 70, 118, 119, 164, 169, 172, 177, 196, 269, 328, 330, 378, 379, 424, 430, 433, 438, 457], "multitask": [9, 104, 166, 269, 364, 426], "collect": [9, 73, 114, 125, 167, 174, 235, 269, 333, 374, 386, 428, 435, 496, 524], "web": [9, 63, 87, 96, 113, 166, 175, 235, 269, 323, 347, 355, 373, 426, 436, 496, 524], "It": [9, 15, 17, 18, 21, 23, 27, 28, 30, 32, 34, 36, 39, 44, 47, 49, 50, 51, 54, 56, 57, 66, 67, 69, 71, 78, 79, 81, 86, 87, 93, 94, 96, 98, 99, 100, 102, 105, 110, 111, 116, 118, 119, 122, 125, 135, 141, 158, 161, 162, 163, 165, 170, 174, 177, 181, 183, 184, 185, 191, 202, 203, 208, 239, 242, 247, 248, 250, 261, 269, 274, 276, 277, 280, 282, 286, 287, 289, 291, 293, 295, 299, 304, 307, 309, 310, 311, 314, 316, 317, 319, 325, 326, 328, 331, 338, 339, 341, 346, 347, 349, 352, 353, 355, 357, 358, 359, 361, 365, 370, 371, 376, 378, 379, 381, 386, 396, 402, 419, 421, 422, 423, 425, 431, 435, 438, 441, 443, 445, 446, 452, 462, 463, 469, 501, 504, 509, 510, 512, 527, 532], "well": [9, 65, 70, 72, 75, 77, 80, 84, 85, 86, 101, 115, 118, 119, 125, 146, 163, 164, 177, 178, 212, 269, 324, 330, 332, 335, 337, 340, 343, 345, 346, 360, 375, 378, 379, 386, 407, 423, 424, 438, 439, 473], "translat": [9, 131, 163, 166, 169, 170, 172, 179, 196, 259, 269, 319, 423, 426, 430, 431, 433, 440, 457], "those": [9, 96, 122, 123, 142, 177, 269, 355, 381, 383, 403, 438, 528, 529], "english": [9, 50, 95, 96, 109, 125, 169, 171, 172, 184, 187, 196, 242, 269, 310, 354, 355, 369, 386, 430, 432, 433, 445, 448, 457, 504], "moment": [9, 162, 210, 269, 422, 471], "greedi": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "search": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 95, 113, 131, 161, 163, 164, 168, 169, 172, 176, 181, 184, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 354, 373, 391, 421, 423, 424, 429, 430, 433, 437, 441, 445, 483], "task": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 67, 68, 71, 77, 78, 80, 91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 109, 114, 115, 118, 119, 120, 125, 143, 159, 161, 163, 165, 166, 170, 171, 172, 176, 177, 178, 179, 211, 214, 222, 259, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 326, 327, 331, 337, 338, 340, 350, 352, 353, 354, 355, 357, 358, 360, 364, 365, 366, 367, 369, 374, 375, 378, 379, 380, 386, 404, 421, 423, 425, 426, 431, 432, 433, 437, 438, 439, 440, 472, 483, 521], "asr_whisper_tiny_opt": [9, 269], "whisperforctctestspec": [9, 269], "robust": [9, 104, 175, 250, 269, 364, 436, 512], "larg": [9, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 67, 68, 69, 70, 72, 73, 74, 75, 76, 78, 79, 80, 86, 88, 91, 92, 98, 99, 101, 103, 106, 107, 113, 114, 118, 119, 120, 125, 127, 130, 134, 140, 160, 162, 163, 164, 165, 166, 167, 168, 169, 174, 177, 178, 185, 210, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 324, 326, 327, 328, 330, 332, 333, 334, 335, 336, 338, 339, 340, 346, 348, 350, 351, 357, 358, 360, 362, 366, 367, 373, 374, 378, 379, 380, 386, 388, 390, 395, 401, 420, 422, 423, 424, 425, 426, 428, 429, 430, 435, 438, 439, 471], "scale": [9, 67, 78, 79, 80, 91, 92, 99, 101, 105, 107, 118, 119, 160, 161, 162, 163, 165, 166, 167, 168, 169, 172, 174, 175, 179, 203, 222, 269, 326, 338, 339, 340, 350, 351, 358, 360, 365, 367, 378, 379, 420, 421, 422, 423, 425, 426, 428, 429, 430, 433, 435, 436, 440, 463, 483], "weak": [9, 101, 269, 360], "studi": [9, 88, 99, 110, 111, 163, 173, 179, 269, 348, 358, 370, 371, 423, 434, 440], "capabl": [9, 66, 69, 70, 78, 99, 120, 164, 166, 168, 171, 175, 177, 203, 250, 269, 325, 328, 330, 338, 358, 380, 424, 426, 429, 432, 436, 438, 463, 512], "simpli": [9, 87, 104, 269, 347, 364, 529], "amount": [9, 80, 115, 125, 134, 160, 161, 162, 166, 177, 196, 208, 222, 269, 340, 375, 386, 395, 420, 421, 422, 426, 438, 457, 469, 483, 532], "transcript": [9, 269], "internet": [9, 269], "when": [9, 10, 11, 15, 18, 21, 23, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 67, 78, 79, 80, 81, 86, 87, 91, 92, 101, 123, 131, 132, 135, 140, 146, 160, 161, 162, 163, 166, 169, 174, 175, 177, 179, 183, 184, 187, 191, 196, 208, 210, 222, 237, 238, 239, 250, 253, 269, 270, 271, 274, 277, 280, 282, 289, 291, 293, 295, 299, 307, 309, 314, 316, 317, 326, 338, 339, 340, 341, 346, 347, 349, 350, 351, 360, 383, 391, 393, 396, 401, 407, 420, 421, 422, 423, 426, 430, 435, 436, 438, 440, 443, 445, 448, 452, 457, 469, 471, 483, 499, 500, 512, 514, 528, 529, 532], "gener": [9, 28, 44, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 91, 92, 95, 97, 99, 101, 104, 105, 106, 109, 112, 114, 120, 123, 125, 139, 140, 143, 146, 155, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 188, 202, 204, 210, 222, 235, 237, 238, 239, 259, 269, 287, 304, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 350, 351, 354, 356, 358, 360, 364, 365, 366, 369, 372, 374, 380, 383, 386, 400, 401, 404, 407, 416, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 462, 464, 471, 483, 496, 499, 500, 521, 524, 527, 528, 529], "standard": [9, 67, 73, 78, 79, 80, 87, 105, 131, 132, 163, 184, 185, 193, 222, 269, 326, 333, 338, 339, 340, 347, 365, 391, 393, 423, 445, 446, 454, 483], "often": [9, 91, 102, 110, 111, 120, 269, 350, 361, 370, 371, 380], "competit": [9, 118, 119, 125, 169, 177, 269, 378, 379, 386, 430, 438], "prior": [9, 67, 95, 99, 104, 105, 146, 173, 183, 251, 269, 326, 354, 358, 364, 365, 407, 434, 443, 513], "fulli": [9, 109, 241, 269, 369, 503], "zero": [9, 66, 101, 117, 143, 166, 269, 325, 360, 377, 404, 426], "shot": [9, 66, 101, 143, 166, 269, 325, 360, 404, 426], "transfer": [9, 80, 99, 101, 115, 118, 119, 163, 166, 179, 269, 340, 358, 360, 375, 378, 379, 423, 426, 440], "without": [9, 66, 77, 93, 94, 101, 102, 104, 118, 119, 125, 162, 166, 171, 196, 250, 251, 269, 325, 337, 352, 353, 360, 361, 364, 378, 379, 386, 422, 426, 432, 457, 512, 513], "ani": [9, 17, 18, 23, 27, 32, 36, 49, 56, 66, 81, 95, 100, 101, 104, 115, 116, 122, 125, 140, 141, 166, 169, 179, 183, 201, 202, 222, 242, 259, 269, 276, 277, 282, 286, 291, 295, 309, 316, 325, 341, 349, 354, 359, 360, 364, 375, 376, 381, 386, 401, 402, 426, 430, 440, 443, 461, 462, 483, 504, 521, 525, 528, 529, 534], "compar": [9, 78, 80, 91, 98, 99, 103, 104, 106, 107, 120, 125, 155, 163, 165, 167, 177, 178, 179, 183, 235, 269, 338, 340, 350, 357, 358, 362, 364, 366, 367, 380, 386, 416, 423, 425, 428, 438, 439, 440, 443, 496, 524], "human": [9, 98, 125, 165, 167, 168, 171, 172, 174, 177, 269, 357, 386, 425, 428, 429, 432, 433, 435, 438], "accuraci": [9, 67, 78, 84, 85, 93, 94, 100, 113, 115, 116, 118, 119, 139, 140, 152, 171, 184, 196, 269, 326, 338, 343, 345, 352, 353, 359, 373, 375, 376, 378, 379, 400, 401, 413, 432, 445, 457, 524], "infer": [9, 17, 18, 23, 27, 32, 36, 49, 56, 66, 68, 77, 92, 93, 94, 96, 99, 120, 160, 161, 162, 165, 167, 171, 173, 207, 238, 269, 276, 277, 282, 286, 291, 295, 309, 316, 325, 327, 337, 351, 352, 353, 355, 358, 380, 420, 421, 422, 425, 428, 432, 434, 467, 500], "code": [9, 63, 66, 98, 100, 104, 105, 109, 110, 111, 116, 118, 119, 125, 127, 163, 165, 171, 173, 175, 176, 177, 178, 179, 251, 269, 323, 325, 349, 357, 359, 364, 365, 369, 370, 371, 376, 378, 379, 386, 388, 423, 425, 432, 434, 436, 437, 438, 439, 440, 513, 525, 533], "serv": [9, 78, 269, 338, 525], "foundat": [9, 167, 168, 269, 428, 429], "further": [9, 10, 91, 104, 106, 113, 125, 139, 140, 146, 175, 213, 269, 270, 350, 364, 366, 373, 386, 400, 401, 407, 436, 474], "work": [9, 67, 99, 104, 105, 114, 127, 146, 160, 163, 167, 169, 170, 174, 177, 179, 190, 222, 239, 250, 261, 269, 319, 326, 358, 364, 365, 374, 388, 407, 420, 423, 428, 430, 431, 435, 438, 440, 450, 483, 501, 512, 527, 529, 533], "e": [9, 11, 13, 15, 16, 19, 21, 22, 25, 26, 30, 31, 34, 35, 37, 39, 40, 42, 43, 45, 47, 48, 54, 55, 57, 58, 67, 81, 85, 87, 101, 103, 104, 105, 106, 107, 122, 123, 139, 140, 163, 166, 170, 175, 179, 181, 183, 187, 212, 219, 222, 235, 237, 238, 239, 246, 260, 269, 271, 272, 274, 275, 278, 280, 281, 284, 285, 289, 290, 293, 294, 296, 299, 300, 302, 303, 305, 307, 308, 314, 315, 317, 318, 319, 326, 341, 345, 347, 360, 362, 364, 365, 366, 367, 381, 383, 400, 401, 423, 426, 431, 436, 440, 441, 443, 448, 473, 479, 483, 496, 499, 500, 501, 522, 524], "g": [9, 11, 13, 15, 16, 19, 21, 22, 25, 26, 30, 31, 34, 35, 37, 39, 40, 42, 43, 45, 47, 48, 54, 55, 57, 58, 67, 81, 85, 87, 101, 103, 104, 106, 107, 122, 123, 139, 140, 163, 166, 170, 175, 179, 183, 187, 212, 219, 222, 235, 238, 239, 246, 260, 269, 271, 272, 274, 275, 278, 280, 281, 284, 285, 289, 290, 293, 294, 296, 299, 300, 302, 303, 305, 307, 308, 314, 315, 317, 318, 319, 326, 341, 345, 347, 360, 362, 364, 366, 367, 381, 383, 400, 401, 423, 426, 431, 436, 440, 443, 448, 473, 479, 483, 496, 500, 501, 522, 524], "check": [9, 71, 73, 77, 95, 101, 109, 140, 141, 154, 182, 183, 184, 185, 208, 213, 241, 259, 269, 331, 333, 337, 354, 360, 369, 401, 402, 415, 443, 444, 445, 446, 469, 474, 503, 521, 528, 533], "descript": [9, 85, 104, 112, 125, 131, 167, 174, 184, 191, 221, 223, 259, 269, 345, 364, 372, 386, 391, 428, 435, 445, 452, 482, 484, 521], "minoutputlength": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "minimum": [9, 44, 50, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 100, 116, 123, 125, 127, 137, 139, 140, 144, 154, 155, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 185, 192, 193, 203, 222, 238, 239, 253, 269, 304, 310, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 359, 376, 383, 386, 388, 398, 400, 401, 405, 415, 416, 423, 424, 425, 426, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 445, 446, 453, 454, 463, 483, 500, 514], "sequenc": [9, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 92, 105, 108, 113, 114, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 187, 210, 222, 269, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 319, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 351, 365, 368, 373, 374, 407, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 448, 471, 483], "maxoutputlength": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 319, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "maximum": [9, 28, 44, 50, 63, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 100, 116, 123, 125, 137, 139, 140, 144, 146, 149, 154, 155, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 192, 193, 203, 222, 238, 269, 287, 304, 310, 319, 323, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 349, 359, 376, 383, 386, 398, 400, 401, 405, 407, 409, 415, 416, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 453, 454, 463, 483], "dosampl": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "sampl": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 106, 113, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 251, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 366, 373, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483, 513], "decod": [9, 60, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 92, 98, 105, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 319, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 351, 357, 365, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "temperatur": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 145, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "next": [9, 42, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 110, 111, 125, 131, 132, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 302, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 370, 371, 386, 391, 393, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "probabl": [9, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 125, 146, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 184, 222, 269, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 386, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 445, 483], "topk": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 197, 203, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 463, 483], "highest": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 407, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 445, 483], "vocabulari": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 100, 116, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 359, 376, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 483], "keep": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 80, 86, 92, 125, 144, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 238, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 340, 346, 351, 386, 405, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483, 500], "filter": [9, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 118, 119, 122, 125, 138, 139, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 187, 203, 222, 227, 242, 269, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 378, 379, 381, 386, 399, 400, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 448, 463, 483, 488, 504], "topp": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 145, 146, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 407, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "most": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 86, 88, 96, 99, 105, 107, 125, 140, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 319, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 346, 348, 355, 358, 365, 367, 386, 401, 407, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "add": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 131, 132, 154, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 193, 203, 210, 222, 259, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 377, 391, 393, 415, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 454, 463, 471, 483, 521, 528], "top_p": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 339, 407], "higher": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 117, 125, 146, 158, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 377, 386, 407, 419, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "kept": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "repetitionpenalti": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "repetit": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "penalti": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "norepeatngrams": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "ngram": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 97, 135, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 356, 396, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "occur": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "onc": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 210, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 471, 483], "beamsiz": [9, 64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 168, 169, 172, 176, 214, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 429, 430, 433, 437, 483], "beam": [9, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 163, 164, 168, 169, 172, 176, 222, 269, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 429, 430, 433, 437, 483], "mr": [9, 269], "middl": [9, 191, 196, 269, 452, 457], "langaug": [9, 241, 269, 503], "xx": [9, 23, 56, 118, 119, 127, 165, 169, 170, 172, 269, 282, 316, 319, 378, 379, 388, 425, 430, 431, 433], "do": [9, 10, 88, 115, 125, 138, 164, 187, 193, 208, 210, 269, 270, 348, 375, 386, 399, 424, 448, 454, 469, 471, 524, 528, 532], "convert": [10, 60, 79, 82, 87, 97, 107, 112, 117, 131, 132, 135, 138, 144, 146, 163, 179, 192, 194, 196, 199, 202, 204, 235, 238, 246, 270, 319, 339, 342, 347, 356, 367, 372, 377, 391, 393, 396, 399, 405, 407, 423, 440, 453, 455, 457, 459, 462, 464, 496, 524, 531], "back": [10, 88, 141, 146, 163, 270, 348, 402, 407, 423], "try": [10, 183, 253, 270, 443, 514], "re": [10, 95, 101, 109, 210, 270, 354, 360, 369, 471, 528], "analysi": [10, 28, 44, 50, 103, 104, 120, 156, 157, 179, 220, 237, 259, 270, 287, 304, 310, 362, 364, 380, 417, 418, 440, 480, 499, 521, 529], "york": [10, 143, 202, 270, 404, 462], "jersei": [10, 202, 270, 462], "aren": [10, 202, 270, 462], "t": [10, 17, 18, 23, 27, 32, 36, 49, 56, 88, 92, 99, 110, 128, 144, 155, 157, 160, 161, 162, 174, 193, 202, 210, 222, 270, 276, 277, 282, 286, 291, 295, 309, 316, 348, 351, 358, 370, 389, 405, 416, 418, 420, 421, 422, 435, 454, 462, 471, 483], "far": [10, 146, 166, 202, 270, 407, 426, 462], "apart": [10, 84, 85, 202, 270, 343, 345, 462], "actual": [10, 135, 202, 213, 270, 396, 462, 474], "id": [10, 44, 61, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 118, 122, 146, 147, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 199, 200, 202, 209, 213, 222, 235, 253, 270, 304, 320, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 347, 378, 381, 407, 408, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 459, 460, 462, 470, 474, 483, 496, 514], "defin": [10, 11, 122, 138, 139, 140, 141, 183, 187, 191, 202, 210, 227, 235, 241, 246, 270, 271, 381, 399, 400, 401, 402, 443, 448, 452, 462, 471, 488, 496, 503, 508, 524, 528, 532], "amongst": [10, 202, 270, 462], "thing": [10, 168, 183, 202, 270, 429, 443, 462], "explain_document_dl": [10, 202, 208, 227, 241, 270, 462, 469, 488, 503], "chunktodoc": [10, 270], "chunkconvert": [10, 270], "explainresult": [10, 202, 270, 462], "selectexpr": [10, 11, 28, 51, 63, 66, 67, 78, 79, 80, 84, 85, 86, 87, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 128, 130, 131, 132, 133, 134, 135, 138, 142, 143, 144, 152, 154, 155, 157, 162, 170, 186, 187, 190, 192, 193, 194, 199, 201, 202, 227, 253, 254, 255, 270, 271, 287, 311, 319, 323, 325, 326, 338, 339, 340, 343, 345, 346, 347, 348, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 386, 389, 390, 391, 393, 394, 395, 396, 399, 403, 404, 405, 413, 415, 416, 418, 422, 431, 447, 448, 450, 453, 454, 455, 459, 461, 462, 488, 514, 515, 517, 527, 528, 533], "explod": [10, 11, 28, 51, 63, 84, 85, 86, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 125, 130, 132, 133, 134, 135, 138, 142, 143, 152, 154, 155, 170, 194, 201, 202, 227, 238, 253, 255, 270, 271, 287, 311, 319, 323, 343, 345, 346, 348, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 386, 390, 393, 394, 395, 396, 399, 403, 404, 413, 415, 416, 431, 455, 461, 462, 488, 500, 514, 517, 527, 528, 533], "col": [10, 84, 85, 122, 130, 138, 142, 181, 199, 201, 202, 204, 209, 227, 251, 270, 343, 345, 381, 390, 399, 403, 462, 488, 513, 527], "7": [10, 50, 78, 93, 94, 98, 131, 132, 147, 152, 166, 167, 171, 174, 175, 202, 255, 257, 261, 270, 310, 338, 352, 353, 357, 391, 393, 408, 413, 426, 428, 432, 435, 436, 462, 517, 519, 527], "loc": [10, 16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 123, 138, 139, 140, 202, 208, 227, 241, 253, 270, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318, 383, 399, 400, 401, 462, 469, 488, 503, 514], "22": [10, 202, 253, 270, 462, 514, 527], "part": [11, 96, 125, 128, 151, 152, 160, 161, 162, 167, 186, 196, 199, 222, 238, 239, 255, 259, 271, 349, 355, 386, 389, 412, 413, 420, 421, 422, 428, 447, 457, 459, 483, 517, 534], "tag": [11, 28, 44, 50, 87, 96, 137, 138, 139, 140, 142, 151, 152, 196, 219, 227, 235, 237, 238, 239, 251, 253, 255, 256, 259, 271, 287, 304, 310, 347, 355, 398, 399, 400, 401, 403, 412, 413, 457, 479, 488, 496, 499, 500, 513, 514, 517, 518, 521, 534], "order": [11, 86, 104, 120, 122, 125, 131, 160, 161, 162, 163, 167, 174, 184, 185, 203, 208, 213, 222, 227, 250, 271, 346, 349, 364, 380, 381, 386, 391, 420, 421, 422, 423, 428, 435, 445, 446, 463, 469, 474, 483, 488, 512, 528, 529, 532, 534], "meaning": [11, 186, 271, 447], "phrase": [11, 96, 100, 116, 130, 134, 271, 355, 359, 376, 390, 395], "onto": [11, 227, 271, 488, 529], "pars": [11, 83, 84, 85, 96, 122, 128, 131, 132, 183, 184, 185, 208, 210, 212, 237, 238, 241, 247, 248, 251, 253, 255, 271, 343, 344, 345, 355, 381, 389, 391, 393, 443, 445, 446, 469, 471, 473, 499, 503, 509, 510, 513, 514, 517], "regular": [11, 86, 133, 139, 154, 271, 346, 394, 400, 415], "express": [11, 50, 63, 86, 131, 133, 154, 271, 310, 323, 346, 391, 394, 415], "wrap": [11, 271, 320, 441, 475, 476, 485, 491, 495, 511], "angl": [11, 114, 271, 374], "bracket": [11, 271], "easili": [11, 103, 152, 201, 271, 362, 413, 461, 524], "distinguish": [11, 271], "itself": [11, 125, 172, 179, 196, 211, 271, 349, 386, 433, 440, 457, 472, 529], "form": [11, 28, 44, 50, 117, 122, 128, 130, 131, 133, 134, 155, 157, 184, 185, 196, 201, 235, 253, 254, 271, 287, 304, 310, 377, 381, 389, 390, 391, 394, 395, 416, 418, 445, 446, 457, 461, 496, 514, 515, 528], "peter": [11, 105, 128, 144, 152, 155, 184, 186, 253, 271, 365, 389, 405, 413, 416, 445, 447, 514], "piper": [11, 128, 152, 186, 271, 389, 413, 447], "employe": [11, 128, 152, 186, 271, 389, 413, 447], "pick": [11, 128, 152, 186, 271, 389, 413, 447], "peck": [11, 128, 152, 186, 271, 389, 413, 447], "pickl": [11, 128, 152, 186, 271, 389, 413, 447], "pepper": [11, 128, 152, 186, 271, 389, 413, 447], "nnp": [11, 152, 208, 227, 253, 254, 255, 256, 271, 413, 469, 488, 514, 515, 517, 518, 527, 532, 533, 534], "nn": [11, 86, 152, 253, 254, 255, 256, 271, 346, 413, 514, 515, 517, 518, 534], "vbp": [11, 152, 208, 254, 271, 413, 469, 515, 527, 532, 533], "vbg": [11, 152, 271, 413], "IN": [11, 152, 208, 227, 254, 255, 256, 271, 413, 469, 488, 515, 517, 518, 527, 532, 533], "jj": [11, 152, 208, 227, 253, 255, 271, 413, 469, 488, 514, 517, 527, 532, 533, 534], "enclos": [11, 271], "treat": [11, 183, 196, 271, 443, 457], "group": [11, 87, 92, 122, 160, 161, 162, 167, 171, 177, 193, 237, 238, 271, 347, 351, 381, 420, 421, 422, 428, 432, 438, 454, 499], "so": [11, 17, 18, 23, 28, 36, 49, 50, 56, 88, 125, 138, 146, 155, 169, 210, 211, 235, 271, 276, 277, 282, 287, 295, 309, 310, 316, 348, 349, 386, 399, 407, 416, 430, 471, 472, 496, 524], "here": [11, 128, 210, 227, 271, 389, 471, 488, 528], "specif": [11, 51, 71, 84, 85, 87, 93, 94, 99, 114, 115, 122, 123, 125, 140, 161, 163, 166, 168, 169, 172, 178, 181, 188, 208, 211, 235, 238, 239, 271, 311, 331, 343, 345, 347, 352, 353, 358, 374, 375, 381, 383, 386, 401, 421, 423, 426, 429, 430, 433, 439, 449, 469, 472, 496, 500, 532], "noun": [11, 254, 271, 515], "success": [11, 96, 107, 166, 271, 355, 367, 426], "grammar": [11, 160, 161, 162, 214, 222, 271, 420, 421, 422, 483], "parser": [11, 84, 85, 123, 259, 271, 343, 345, 383, 384], "Of": [11, 91, 196, 271, 350, 457], "postag": [11, 271], "11": [11, 82, 118, 119, 131, 132, 135, 152, 246, 257, 271, 342, 378, 379, 391, 393, 396, 413, 508, 519], "21": [11, 131, 132, 142, 152, 257, 271, 391, 393, 403, 413, 519], "35": [11, 95, 152, 164, 257, 271, 354, 413, 424, 519], "39": [11, 142, 147, 152, 247, 255, 257, 271, 403, 408, 413, 509, 517, 519], "52": [11, 142, 152, 255, 271, 403, 413, 517], "58": [11, 78, 152, 271, 338, 413], "choicesdelimit": [12, 13, 19, 37, 45, 272, 278, 296, 305], "setchoicesdelimit": [12, 13, 19, 37, 45, 272, 278, 296, 305], "coalescesent": [12, 14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 126, 127, 273, 274, 276, 277, 279, 280, 282, 283, 284, 286, 288, 289, 291, 292, 293, 295, 298, 299, 302, 306, 307, 309, 313, 314, 316, 317, 388], "getclass": [12, 15, 16, 17, 18, 21, 22, 23, 25, 26, 27, 30, 31, 32, 34, 35, 36, 39, 40, 42, 43, 47, 48, 49, 54, 55, 56, 57, 58, 64, 67, 78, 80, 136, 143, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 307, 308, 309, 314, 315, 316, 317, 318, 326, 338, 340, 404], "setcoalescesent": [12, 15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 126, 127, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 388], "maxsentencelength": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 63, 64, 65, 70, 71, 72, 73, 74, 75, 76, 77, 90, 91, 93, 94, 95, 96, 98, 99, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 118, 119, 120, 214, 222, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 323, 324, 330, 331, 332, 333, 334, 335, 336, 337, 350, 352, 353, 354, 355, 357, 358, 359, 360, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 376, 378, 379, 380, 483], "setmaxsentencelength": [12, 18, 48, 49, 56, 90, 100, 116, 214, 222, 277, 308, 309, 316, 359, 376, 483], "dropout": [12, 28, 50, 136, 140, 287, 310, 401], "setdropout": [12, 28, 50, 136, 140, 287, 310, 401, 528], "setshuffleperepoch": [12, 44, 235, 304, 496, 524], "setthreshold": [12, 44, 50, 124, 125, 126, 127, 214, 222, 235, 236, 238, 304, 310, 386, 388, 483, 496, 500, 524], "setverbos": [12, 44, 136, 139, 140, 141, 148, 150, 304, 400, 401, 402, 410], "shuffleperepoch": [12, 44, 304], "threshold": [12, 44, 50, 92, 100, 116, 124, 125, 126, 127, 139, 143, 160, 161, 162, 183, 196, 203, 214, 222, 236, 237, 238, 239, 304, 310, 351, 359, 376, 386, 388, 400, 404, 420, 421, 422, 443, 457, 463, 483, 499, 500], "setthresholdlabel": [12, 50, 126, 127, 310, 388], "thresholdlabel": [12, 50, 126, 127, 310, 388], "classifi": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 66, 67, 78, 125, 201, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 325, 326, 338, 384, 386, 461, 528], "dl": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 127, 140, 141, 143, 184, 185, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 388, 401, 402, 404, 445, 446], "albert": [13, 14, 15, 16, 91, 272, 273, 274, 275, 350], "choic": [13, 19, 37, 45, 110, 111, 133, 168, 171, 272, 278, 296, 305, 370, 371, 394, 429, 432], "linear": [13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 78, 92, 160, 161, 162, 166, 222, 272, 273, 274, 275, 278, 279, 280, 281, 283, 284, 285, 288, 289, 290, 292, 293, 294, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 312, 313, 314, 315, 317, 318, 338, 351, 420, 421, 422, 426, 483], "layer": [13, 14, 15, 16, 19, 20, 21, 22, 24, 25, 26, 29, 30, 31, 33, 34, 35, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 52, 53, 54, 55, 57, 58, 91, 92, 93, 94, 98, 103, 106, 120, 160, 161, 162, 222, 272, 273, 274, 275, 278, 279, 280, 281, 283, 284, 285, 288, 289, 290, 292, 293, 294, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 312, 313, 314, 315, 317, 318, 350, 351, 352, 353, 357, 362, 366, 380, 420, 421, 422, 483], "pool": [13, 15, 19, 21, 25, 30, 34, 37, 39, 42, 45, 47, 54, 57, 92, 97, 103, 108, 112, 113, 114, 160, 161, 222, 272, 274, 278, 280, 284, 289, 293, 296, 299, 302, 305, 307, 314, 317, 351, 356, 362, 368, 372, 373, 374, 420, 421, 483], "softmax": [13, 15, 17, 18, 19, 21, 23, 25, 27, 32, 34, 36, 37, 39, 42, 45, 47, 49, 54, 56, 57, 98, 100, 116, 183, 222, 272, 274, 276, 277, 278, 280, 282, 284, 286, 291, 293, 295, 296, 299, 302, 305, 307, 309, 314, 316, 317, 357, 359, 376, 443, 483], "rocstori": [13, 19, 37, 45, 272, 278, 296, 305], "swag": [13, 19, 37, 45, 272, 278, 296, 305], "spanclassifi": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 52, 53, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 312, 313], "document_quest": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 311, 312, 313], "document_context": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 52, 53, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 312, 313], "answer": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 84, 85, 86, 93, 94, 103, 120, 143, 163, 164, 166, 171, 179, 208, 210, 259, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 311, 312, 313, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 343, 345, 346, 352, 353, 362, 380, 404, 423, 424, 426, 432, 440, 469, 471], "albert_base_uncased_multiple_choic": [13, 272], "allow": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 81, 103, 109, 115, 139, 140, 144, 154, 155, 163, 178, 192, 193, 211, 221, 239, 247, 248, 250, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 341, 362, 369, 375, 400, 401, 405, 415, 416, 423, 439, 453, 454, 472, 482, 501, 509, 510, 512], "faster": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 92, 99, 103, 106, 160, 161, 162, 171, 184, 185, 222, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 351, 358, 362, 366, 420, 421, 422, 432, 445, 446, 483], "requir": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 80, 82, 84, 85, 91, 94, 95, 98, 101, 103, 109, 115, 118, 119, 125, 140, 141, 144, 158, 161, 183, 194, 196, 199, 201, 207, 213, 259, 262, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 340, 342, 343, 345, 349, 350, 353, 354, 357, 360, 362, 369, 375, 378, 379, 386, 401, 402, 405, 419, 421, 443, 455, 457, 459, 461, 467, 474, 521, 527, 528, 529], "8": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 55, 56, 57, 58, 60, 67, 84, 85, 86, 87, 88, 91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 131, 135, 140, 142, 146, 147, 150, 166, 175, 183, 194, 196, 253, 257, 261, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 326, 343, 345, 346, 347, 348, 350, 352, 353, 354, 355, 357, 358, 360, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 391, 396, 401, 403, 407, 408, 410, 426, 436, 443, 455, 457, 514, 519], "ignor": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 60, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 130, 135, 138, 143, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 184, 187, 208, 222, 238, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 311, 312, 313, 314, 315, 316, 317, 318, 319, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 390, 396, 399, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 445, 448, 469, 483, 500], "case": [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 85, 86, 87, 91, 93, 94, 95, 96, 98, 99, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 122, 127, 130, 134, 141, 144, 164, 167, 174, 183, 184, 187, 193, 199, 222, 253, 254, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 345, 346, 347, 349, 350, 352, 353, 354, 355, 357, 358, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 381, 388, 390, 395, 402, 424, 428, 435, 443, 445, 448, 454, 459, 483, 514, 515, 528], "512": [13, 15, 17, 18, 19, 21, 23, 25, 27, 30, 32, 34, 36, 37, 39, 42, 45, 47, 49, 51, 54, 56, 57, 88, 95, 101, 103, 106, 107, 108, 109, 113, 114, 170, 222, 272, 274, 276, 277, 278, 280, 282, 284, 286, 289, 291, 293, 295, 296, 299, 302, 305, 307, 309, 311, 314, 316, 317, 319, 348, 354, 360, 362, 366, 367, 368, 369, 373, 374, 431, 483], "question": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 51, 52, 53, 65, 69, 70, 71, 72, 73, 74, 75, 76, 77, 84, 85, 93, 94, 103, 110, 111, 120, 143, 152, 163, 164, 166, 171, 179, 208, 259, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 311, 312, 313, 324, 328, 330, 331, 332, 333, 334, 335, 336, 337, 343, 345, 352, 353, 362, 370, 371, 380, 404, 413, 423, 424, 426, 432, 440, 469], "context": [13, 14, 19, 20, 24, 29, 33, 37, 38, 41, 45, 46, 52, 53, 69, 70, 92, 93, 94, 100, 103, 109, 116, 120, 146, 158, 160, 161, 162, 167, 175, 177, 183, 193, 222, 238, 272, 273, 278, 279, 283, 288, 292, 296, 298, 301, 305, 306, 312, 313, 328, 330, 351, 352, 353, 359, 362, 369, 376, 380, 407, 419, 420, 421, 422, 428, 436, 438, 443, 454, 483], "questionansw": [13, 19, 20, 37, 45, 272, 278, 279, 296, 305], "eiffel": [13, 19, 37, 45, 272, 278, 296, 305], "tower": [13, 19, 37, 45, 272, 278, 296, 305], "countri": [13, 19, 37, 45, 183, 272, 278, 296, 305, 443], "germani": [13, 19, 37, 45, 272, 278, 296, 305], "franc": [13, 19, 27, 37, 45, 170, 272, 278, 286, 296, 305, 319, 431], "itali": [13, 19, 37, 45, 272, 278, 296, 305], "split": [13, 19, 37, 45, 66, 67, 77, 78, 79, 80, 86, 88, 92, 154, 155, 160, 161, 162, 170, 190, 191, 192, 196, 222, 238, 246, 272, 278, 296, 305, 319, 325, 326, 337, 338, 339, 340, 346, 348, 351, 415, 416, 420, 421, 422, 431, 450, 452, 453, 457, 483, 500, 508], "bert_base_uncased_multiple_choic": [13, 19, 37, 272, 278, 296], "span": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 163, 178, 179, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 423, 439, 440], "squad": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 91, 93, 94, 98, 107, 110, 111, 163, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 350, 352, 353, 357, 367, 370, 371, 423], "comput": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 67, 78, 80, 81, 91, 98, 99, 104, 115, 141, 166, 170, 171, 172, 181, 185, 196, 208, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 319, 326, 338, 340, 341, 350, 357, 358, 364, 375, 402, 426, 431, 432, 433, 441, 446, 457, 469, 532], "logit": [14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 32, 33, 34, 36, 38, 39, 41, 42, 46, 47, 49, 52, 53, 54, 56, 57, 146, 160, 161, 162, 222, 273, 274, 276, 277, 279, 280, 282, 283, 284, 286, 288, 291, 292, 293, 295, 298, 299, 301, 302, 306, 307, 309, 312, 313, 314, 316, 317, 407, 420, 421, 422, 483], "albert_base_qa_squad2": [14, 273], "128": [14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 38, 40, 41, 42, 43, 44, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 91, 93, 94, 96, 98, 99, 104, 110, 111, 118, 119, 120, 235, 273, 274, 275, 276, 277, 279, 280, 281, 282, 283, 284, 285, 286, 288, 289, 290, 291, 292, 293, 294, 295, 298, 300, 301, 302, 303, 304, 306, 307, 308, 309, 312, 313, 314, 315, 316, 317, 318, 350, 352, 353, 355, 357, 358, 364, 370, 371, 378, 379, 380, 496, 524], "what": [14, 20, 24, 29, 33, 38, 41, 46, 50, 52, 53, 65, 67, 72, 73, 84, 85, 125, 127, 143, 146, 170, 172, 176, 183, 191, 254, 273, 279, 283, 288, 292, 298, 301, 306, 310, 312, 313, 319, 324, 326, 332, 333, 343, 345, 386, 388, 404, 407, 431, 433, 437, 443, 452, 515, 525], "": [14, 17, 18, 20, 23, 24, 27, 29, 32, 33, 36, 38, 41, 46, 49, 52, 53, 56, 65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 86, 87, 88, 91, 95, 96, 98, 99, 100, 101, 105, 109, 110, 111, 115, 116, 118, 119, 122, 125, 133, 140, 144, 146, 158, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 191, 192, 193, 196, 198, 202, 208, 210, 219, 222, 227, 233, 235, 251, 261, 262, 273, 276, 277, 279, 282, 283, 286, 288, 291, 292, 295, 298, 301, 306, 309, 312, 313, 316, 319, 320, 324, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 346, 347, 348, 349, 350, 354, 355, 357, 358, 359, 360, 365, 369, 370, 371, 376, 378, 379, 381, 386, 394, 401, 405, 407, 419, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 452, 453, 454, 457, 458, 462, 469, 471, 475, 476, 479, 483, 485, 488, 491, 495, 496, 511, 513, 524, 527, 528, 529, 532], "my": [14, 16, 17, 20, 22, 24, 28, 29, 31, 33, 35, 38, 40, 41, 42, 43, 46, 48, 50, 52, 53, 55, 58, 86, 87, 88, 133, 135, 143, 146, 154, 165, 166, 167, 171, 173, 174, 175, 177, 187, 190, 192, 210, 273, 275, 276, 279, 281, 283, 287, 288, 290, 292, 294, 298, 300, 301, 302, 303, 306, 308, 310, 312, 313, 315, 318, 346, 347, 348, 394, 396, 404, 407, 415, 425, 426, 428, 432, 434, 435, 436, 438, 448, 450, 453, 471, 528], "clara": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 143, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 404], "live": [14, 16, 20, 22, 24, 29, 31, 33, 35, 38, 40, 41, 43, 46, 48, 52, 53, 55, 58, 143, 166, 167, 235, 273, 275, 279, 281, 283, 288, 290, 292, 294, 298, 300, 301, 303, 306, 308, 312, 313, 315, 318, 404, 426, 428, 496, 524], "berkelei": [14, 20, 24, 29, 33, 38, 41, 46, 52, 53, 173, 174, 175, 177, 273, 279, 283, 288, 292, 298, 301, 306, 312, 313, 434, 435, 436, 438], "instead": [14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 53, 54, 56, 57, 94, 125, 127, 131, 132, 179, 201, 202, 207, 208, 238, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 353, 386, 388, 391, 393, 440, 461, 462, 467, 469, 532], "per": [14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 42, 43, 44, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 81, 95, 101, 109, 118, 119, 127, 131, 135, 137, 138, 139, 140, 141, 146, 149, 196, 208, 210, 227, 238, 241, 246, 253, 274, 275, 276, 277, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 293, 294, 295, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 318, 341, 354, 360, 369, 378, 379, 388, 391, 396, 398, 399, 400, 401, 407, 457, 469, 471, 488, 500, 503, 508, 514], "averag": [14, 15, 17, 18, 20, 21, 23, 24, 25, 27, 29, 30, 32, 33, 34, 36, 38, 39, 42, 46, 47, 49, 51, 53, 54, 56, 57, 95, 97, 101, 104, 109, 112, 118, 119, 127, 140, 152, 181, 222, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 311, 314, 316, 317, 354, 356, 360, 364, 369, 372, 378, 379, 388, 401, 413, 441, 483], "regress": [15, 21, 25, 30, 34, 39, 42, 47, 54, 57, 163, 179, 274, 280, 284, 289, 293, 299, 302, 307, 314, 317, 423, 440], "multi": [15, 21, 25, 28, 30, 34, 39, 42, 44, 47, 50, 54, 57, 91, 113, 115, 118, 119, 125, 127, 170, 222, 274, 280, 284, 287, 289, 293, 299, 302, 304, 307, 310, 314, 317, 319, 350, 373, 375, 378, 379, 386, 388, 431, 483], "sequenceclassifi": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317], "albert_base_sequence_classifier_imdb": [15, 274], "activ": [15, 17, 18, 21, 23, 25, 27, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 122, 125, 177, 207, 214, 222, 261, 274, 276, 277, 280, 282, 284, 286, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 381, 386, 438, 467, 483], "calcul": [15, 17, 18, 21, 23, 25, 27, 28, 32, 34, 36, 39, 42, 44, 47, 49, 50, 54, 56, 57, 81, 117, 135, 140, 150, 157, 181, 222, 274, 276, 277, 280, 282, 284, 286, 287, 291, 293, 295, 299, 302, 304, 307, 309, 310, 314, 316, 317, 341, 377, 396, 401, 410, 418, 441, 483], "sigmoid": [15, 17, 18, 21, 23, 25, 27, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 222, 274, 276, 277, 280, 282, 284, 286, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 483], "love": [15, 18, 21, 23, 28, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 94, 111, 119, 155, 158, 274, 277, 280, 282, 287, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 353, 371, 379, 416, 419, 528], "movi": [15, 18, 21, 23, 28, 30, 32, 34, 36, 39, 47, 49, 50, 54, 56, 57, 158, 165, 274, 277, 280, 282, 287, 289, 291, 293, 295, 299, 307, 309, 310, 314, 316, 317, 419, 425, 528], "child": [15, 18, 21, 23, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 274, 277, 280, 282, 289, 291, 293, 295, 299, 307, 309, 314, 316, 317], "pretti": [15, 18, 21, 23, 30, 32, 34, 36, 39, 44, 47, 49, 54, 56, 57, 125, 274, 277, 280, 282, 289, 291, 293, 295, 299, 304, 307, 309, 314, 316, 317, 386], "bore": [15, 18, 21, 23, 30, 32, 34, 36, 39, 47, 49, 54, 56, 57, 274, 277, 280, 282, 289, 291, 293, 295, 299, 307, 309, 314, 316, 317], "neg": [15, 18, 21, 23, 25, 30, 32, 34, 36, 39, 47, 49, 50, 54, 56, 57, 113, 157, 158, 181, 222, 235, 274, 277, 280, 282, 284, 289, 291, 293, 295, 299, 307, 309, 310, 314, 316, 317, 373, 418, 419, 441, 483, 496, 524], "limit": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 67, 69, 78, 80, 88, 91, 96, 105, 107, 114, 117, 120, 125, 158, 179, 184, 203, 222, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 326, 328, 338, 340, 348, 350, 355, 365, 367, 374, 377, 380, 386, 440, 445, 463, 483], "almost": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317], "help": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 69, 76, 84, 85, 86, 91, 92, 146, 147, 160, 161, 162, 164, 167, 168, 170, 174, 176, 193, 210, 222, 235, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 319, 328, 336, 343, 345, 346, 350, 351, 407, 408, 420, 421, 422, 424, 428, 429, 431, 435, 437, 454, 471, 483, 496, 524, 529, 533], "feed": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317], "entir": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 47, 49, 54, 56, 57, 67, 95, 108, 113, 114, 170, 175, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 307, 309, 314, 316, 317, 319, 326, 354, 368, 373, 374, 431, 436], "one": [15, 17, 18, 21, 23, 25, 27, 30, 32, 34, 36, 39, 42, 44, 47, 49, 54, 56, 57, 63, 67, 78, 79, 80, 81, 84, 85, 87, 93, 94, 102, 107, 112, 118, 119, 120, 125, 127, 131, 133, 138, 141, 146, 155, 162, 175, 184, 190, 210, 213, 222, 237, 238, 251, 274, 276, 277, 280, 282, 284, 286, 289, 291, 293, 295, 299, 302, 304, 307, 309, 314, 316, 317, 323, 326, 338, 339, 340, 341, 343, 345, 347, 352, 353, 361, 367, 372, 378, 379, 380, 386, 388, 391, 394, 399, 402, 407, 416, 422, 436, 445, 450, 471, 474, 483, 499, 500, 513, 524, 528], "token_classifi": [16, 26, 40, 43, 48, 55, 58, 275, 285, 300, 303, 308, 315, 318], "albert_base_token_classifier_conll03": [16, 275], "tokenclassifi": [16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318], "john": [16, 22, 31, 35, 40, 43, 48, 55, 58, 63, 94, 111, 119, 122, 123, 142, 144, 155, 204, 251, 257, 275, 281, 290, 294, 300, 303, 308, 315, 318, 323, 353, 371, 379, 381, 383, 403, 405, 416, 464, 513, 519], "lenon": [16, 22, 31, 35, 40, 43, 48, 55, 58, 275, 281, 290, 294, 300, 303, 308, 315, 318], "born": [16, 22, 31, 35, 40, 43, 48, 55, 58, 166, 167, 275, 281, 290, 294, 300, 303, 308, 315, 318, 426, 428], "london": [16, 22, 31, 35, 40, 43, 48, 55, 58, 275, 281, 290, 294, 300, 303, 308, 315, 318], "pari": [16, 22, 31, 35, 40, 43, 48, 55, 58, 143, 275, 281, 290, 294, 300, 303, 308, 315, 318, 404], "sarah": [16, 22, 31, 35, 40, 43, 48, 55, 58, 275, 281, 290, 294, 300, 303, 308, 315, 318], "o": [16, 22, 26, 31, 35, 40, 43, 48, 55, 58, 138, 139, 140, 142, 208, 227, 241, 253, 256, 275, 281, 285, 290, 294, 300, 303, 308, 315, 318, 399, 400, 401, 403, 469, 488, 503, 514, 518, 534], "modelforsequenceclassif": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "nli": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "natur": [17, 18, 23, 27, 32, 36, 49, 50, 56, 80, 91, 92, 93, 94, 96, 98, 99, 100, 107, 115, 116, 120, 127, 163, 166, 171, 177, 179, 199, 209, 213, 276, 277, 282, 286, 291, 295, 309, 310, 316, 340, 350, 351, 352, 353, 355, 357, 358, 359, 367, 375, 376, 380, 388, 423, 426, 432, 438, 440, 459, 470, 474], "don": [17, 18, 23, 27, 32, 36, 49, 56, 99, 110, 144, 222, 276, 277, 282, 286, 291, 295, 309, 316, 358, 370, 405, 483], "hardcod": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "potenti": [17, 18, 23, 27, 32, 36, 49, 56, 78, 165, 169, 173, 175, 183, 276, 277, 282, 286, 291, 295, 309, 316, 338, 425, 430, 434, 436, 443], "thei": [17, 18, 23, 27, 32, 36, 49, 51, 56, 84, 85, 86, 140, 144, 146, 162, 166, 211, 254, 276, 277, 282, 286, 291, 295, 309, 311, 316, 343, 345, 346, 401, 405, 407, 422, 426, 472, 491, 511, 515, 528], "chosen": [17, 18, 23, 27, 32, 36, 49, 56, 84, 85, 140, 146, 276, 277, 282, 286, 291, 295, 309, 316, 343, 345, 401, 407], "runtim": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "usual": [17, 18, 23, 27, 32, 36, 49, 56, 80, 213, 242, 276, 277, 282, 286, 291, 295, 309, 316, 340, 474, 504], "slower": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "flexibl": [17, 18, 23, 27, 32, 36, 49, 56, 66, 71, 78, 250, 276, 277, 282, 286, 291, 295, 309, 316, 325, 331, 338, 512], "loop": [17, 18, 23, 36, 49, 56, 210, 276, 277, 282, 295, 309, 316, 471], "through": [17, 18, 23, 36, 49, 56, 91, 107, 123, 125, 135, 169, 172, 174, 204, 276, 277, 282, 295, 309, 316, 350, 367, 383, 386, 430, 433, 435, 464, 529], "longer": [17, 18, 23, 36, 49, 56, 91, 100, 105, 116, 127, 167, 170, 171, 276, 277, 282, 295, 309, 316, 319, 350, 359, 365, 376, 388, 428, 431, 432, 533], "pass": [17, 18, 23, 27, 32, 36, 49, 56, 146, 210, 276, 277, 282, 286, 291, 295, 309, 316, 349, 407, 471], "pose": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "premis": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "hypothesi": [17, 18, 23, 27, 32, 36, 49, 56, 276, 277, 282, 286, 291, 295, 309, 316], "pair": [17, 18, 23, 27, 32, 36, 49, 56, 66, 101, 102, 109, 113, 123, 169, 235, 276, 277, 282, 286, 291, 295, 309, 316, 325, 360, 361, 369, 373, 383, 430, 496], "albert_base_zero_shot_classifier_onnx": [17, 276], "iphon": [17, 276], "resolv": [17, 276], "asap": [17, 276], "urgent": [17, 276], "albert_zero_shot_classifier_onnx": [17, 276], "bart": [17, 18, 163, 276, 277, 423], "bartforsequenceclassif": [18, 277], "bart_large_zero_shot_classifier_mnli": [18, 277], "bert_base_cased_qa_squad2": [20, 279], "bert_base_sequence_classifier_imdb": [21, 280], "bert_base_token_classifier_conll03": [22, 281], "bert_zero_shot_classifier_mnli": [23, 282], "camembert": [24, 25, 26, 96, 283, 284, 285, 355], "camembert_base_qa_fquad": [24, 283], "fr": [24, 25, 27, 96, 127, 169, 172, 283, 284, 286, 355, 388, 430, 433], "sequence_classifi": [25, 284], "camembert_base_sequence_classifier_allocin": [25, 284], "j": [25, 122, 284, 381], "ai": [25, 146, 147, 163, 168, 235, 284, 407, 408, 423, 429, 496, 524], "ador\u00e9": [25, 284], "ce": [25, 284], "film": [25, 284], "lorsqu": [25, 284], "\u00e9tai": [25, 284], "enfant": [25, 284], "je": [25, 284], "d\u00e9test": [25, 284], "\u00e7a": [25, 284], "camembert_base_token_classifier_wikin": [26, 285], "georg": [26, 285], "washington": [26, 285], "est": [26, 96, 127, 170, 285, 319, 355, 388, 431], "all\u00e9": [26, 285], "\u00e0": [26, 285], "camembert_zero_shot_classifier_xnli_onnx": [27, 286], "multi_class": [27, 286], "setcandidatelabel": [27, 66, 214, 222, 286, 325, 483], "sport": [27, 286], "politiqu": [27, 286], "scienc": [27, 104, 125, 173, 178, 286, 364, 386, 434, 439, 525], "l": [27, 71, 238, 246, 286, 331, 500], "\u00e9quip": [27, 286], "de": [27, 80, 96, 125, 127, 170, 286, 319, 340, 355, 386, 388, 431], "joue": [27, 286], "aujourd": [27, 286], "hui": [27, 286], "au": [27, 286], "parc": [27, 286], "princ": [27, 286], "classifierdl": [28, 287, 528], "univers": [28, 84, 85, 102, 114, 115, 165, 170, 172, 173, 174, 175, 177, 287, 319, 343, 345, 361, 374, 375, 425, 431, 433, 434, 435, 436, 438], "deep": [28, 93, 94, 103, 106, 125, 139, 155, 183, 222, 287, 352, 353, 362, 366, 386, 400, 416, 443, 483], "dnn": [28, 287], "built": [28, 44, 69, 122, 165, 177, 209, 261, 287, 304, 328, 425, 438, 470], "insid": [28, 44, 138, 152, 193, 253, 287, 304, 399, 413, 454, 514], "instanti": [28, 44, 50, 84, 85, 100, 116, 117, 122, 128, 130, 133, 134, 139, 140, 144, 152, 155, 157, 158, 181, 183, 184, 185, 190, 191, 196, 251, 253, 254, 287, 304, 310, 343, 345, 349, 359, 376, 377, 381, 389, 390, 394, 395, 400, 401, 405, 413, 416, 418, 419, 441, 443, 445, 446, 450, 452, 457, 513, 514, 515], "dataset": [28, 44, 50, 84, 85, 95, 96, 100, 101, 104, 105, 107, 110, 111, 113, 114, 116, 117, 125, 127, 139, 140, 141, 150, 155, 166, 168, 169, 172, 173, 175, 178, 183, 196, 233, 239, 241, 250, 253, 254, 255, 256, 262, 287, 304, 310, 343, 345, 354, 355, 359, 360, 364, 365, 367, 370, 371, 373, 374, 376, 377, 386, 388, 400, 401, 402, 410, 416, 426, 429, 430, 433, 434, 436, 439, 443, 457, 495, 501, 503, 512, 514, 515, 517, 518, 531], "monitor": [28, 44, 50, 140, 146, 147, 234, 235, 287, 304, 310, 401, 407, 408, 496, 524], "metric": [28, 44, 50, 140, 185, 235, 287, 304, 310, 401, 446, 496], "done": [28, 44, 50, 110, 111, 139, 140, 141, 287, 304, 310, 370, 371, 400, 401, 402, 529], "settestdataset": [28, 44, 50, 140, 148, 150, 287, 304, 310, 401, 410], "method": [28, 44, 50, 91, 92, 95, 99, 100, 104, 107, 116, 120, 125, 140, 160, 161, 162, 181, 222, 242, 287, 304, 310, 349, 350, 351, 354, 358, 359, 364, 367, 376, 380, 386, 401, 420, 421, 422, 441, 483, 504, 523], "expect": [28, 44, 50, 95, 101, 109, 120, 140, 162, 193, 210, 227, 248, 260, 287, 304, 310, 354, 360, 369, 380, 401, 422, 454, 471, 488, 510, 522], "path": [28, 44, 50, 65, 68, 70, 71, 72, 73, 74, 75, 76, 77, 81, 84, 85, 100, 116, 117, 122, 123, 128, 130, 133, 134, 139, 140, 141, 143, 144, 150, 155, 157, 160, 161, 162, 166, 183, 184, 185, 188, 193, 207, 208, 225, 226, 235, 237, 238, 239, 241, 246, 251, 253, 254, 255, 256, 259, 287, 304, 310, 324, 327, 330, 331, 332, 333, 334, 335, 336, 337, 341, 343, 345, 359, 376, 377, 381, 383, 389, 390, 394, 395, 400, 401, 402, 404, 405, 410, 416, 418, 420, 421, 422, 426, 443, 445, 446, 449, 454, 467, 469, 486, 487, 496, 499, 500, 503, 508, 513, 514, 515, 517, 518, 521, 524], "parquet": [28, 44, 50, 81, 140, 150, 198, 287, 304, 310, 341, 401, 410, 458], "datafram": [28, 44, 50, 81, 100, 116, 117, 140, 150, 152, 181, 196, 207, 208, 222, 223, 227, 233, 235, 237, 238, 239, 241, 247, 248, 251, 253, 254, 255, 256, 260, 287, 304, 310, 341, 359, 376, 377, 401, 410, 413, 441, 457, 467, 469, 483, 484, 488, 495, 496, 499, 503, 509, 510, 513, 514, 515, 517, 518, 522, 524, 528, 532, 534], "ha": [28, 44, 50, 51, 66, 67, 78, 79, 80, 86, 87, 88, 91, 98, 99, 103, 110, 111, 114, 117, 125, 128, 133, 140, 150, 155, 157, 162, 163, 164, 172, 173, 175, 179, 184, 185, 196, 198, 199, 207, 208, 222, 235, 242, 255, 287, 304, 310, 311, 325, 326, 338, 339, 340, 346, 347, 348, 350, 357, 358, 362, 370, 371, 374, 377, 386, 389, 394, 401, 410, 416, 418, 422, 423, 424, 433, 434, 436, 440, 445, 446, 457, 458, 459, 467, 469, 483, 496, 504, 517, 524, 528, 529], "same": [28, 44, 50, 63, 69, 91, 107, 110, 117, 118, 122, 123, 140, 146, 150, 160, 161, 165, 174, 175, 179, 181, 211, 235, 287, 304, 310, 323, 328, 350, 367, 370, 377, 378, 381, 383, 401, 407, 410, 420, 421, 425, 435, 436, 440, 441, 472, 496, 529], "also": [28, 44, 50, 66, 67, 71, 73, 76, 77, 78, 79, 80, 81, 87, 91, 95, 102, 103, 105, 106, 117, 118, 119, 122, 123, 125, 131, 133, 138, 139, 140, 150, 155, 158, 160, 163, 165, 171, 175, 178, 187, 208, 212, 251, 261, 287, 304, 310, 325, 326, 331, 333, 336, 337, 338, 339, 340, 341, 347, 350, 354, 361, 362, 365, 366, 377, 378, 379, 381, 383, 386, 391, 394, 399, 400, 401, 409, 410, 416, 419, 420, 423, 425, 432, 436, 439, 448, 469, 473, 477, 483, 494, 500, 513, 524, 528, 529, 530, 531, 533], "follow": [28, 44, 50, 63, 76, 82, 87, 103, 105, 113, 117, 125, 131, 132, 133, 138, 140, 144, 154, 171, 175, 194, 210, 212, 238, 239, 287, 304, 310, 323, 336, 342, 347, 362, 365, 373, 377, 386, 391, 393, 394, 399, 401, 405, 415, 432, 436, 455, 471, 473, 500, 524, 526, 529], "preprocessingpipelin": [28, 44, 50, 140, 150, 287, 304, 310, 401, 410], "randomsplit": [28, 44, 50, 140, 150, 287, 304, 310, 401, 410], "write": [28, 44, 50, 117, 140, 146, 150, 165, 178, 184, 185, 287, 304, 310, 377, 401, 407, 410, 425, 439, 445, 446, 529], "overwrit": [28, 44, 50, 140, 142, 150, 235, 287, 304, 310, 401, 403, 410, 496], "test_data": [28, 44, 50, 140, 150, 287, 304, 310, 401, 410], "usag": [28, 44, 50, 63, 84, 85, 86, 87, 88, 91, 92, 93, 94, 96, 97, 99, 103, 110, 115, 117, 118, 120, 122, 125, 127, 128, 131, 132, 133, 134, 139, 140, 141, 144, 152, 154, 155, 157, 158, 160, 161, 162, 163, 170, 179, 181, 183, 184, 186, 187, 191, 193, 196, 203, 287, 304, 310, 319, 323, 343, 345, 346, 347, 348, 350, 351, 352, 353, 355, 356, 358, 362, 370, 375, 377, 378, 380, 381, 386, 388, 389, 391, 393, 394, 395, 400, 401, 402, 405, 413, 415, 416, 418, 419, 420, 421, 422, 423, 431, 440, 441, 443, 445, 447, 448, 452, 454, 457, 463], "64": [28, 44, 50, 91, 140, 149, 287, 304, 310, 350, 401, 409, 528], "coeffici": [28, 50, 139, 140, 287, 310, 400, 401], "5": [28, 44, 50, 63, 70, 78, 81, 86, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 125, 127, 131, 132, 135, 138, 140, 146, 147, 152, 158, 166, 174, 175, 177, 196, 201, 208, 222, 227, 235, 241, 250, 254, 255, 256, 257, 287, 304, 310, 323, 330, 338, 341, 346, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 386, 388, 391, 393, 396, 399, 401, 407, 408, 413, 426, 435, 436, 438, 457, 461, 469, 483, 488, 496, 503, 512, 515, 517, 518, 519, 524, 527, 528, 534], "enableoutputlog": [28, 44, 50, 140, 148, 150, 287, 304, 310, 401, 410], "stdout": [28, 44, 50, 140, 150, 287, 304, 310, 401, 410], "addit": [28, 44, 50, 81, 84, 85, 93, 94, 122, 139, 140, 141, 146, 150, 154, 162, 166, 178, 193, 235, 287, 304, 310, 341, 343, 345, 349, 352, 353, 381, 400, 401, 402, 407, 410, 415, 422, 426, 439, 454, 496, 527, 528], "evaluationlogextend": [28, 44, 50, 140, 148, 150, 287, 304, 310, 401, 410], "valid": [28, 44, 50, 131, 140, 150, 155, 183, 287, 304, 310, 391, 401, 410, 416, 443, 524], "displai": [28, 44, 50, 150, 166, 235, 287, 304, 310, 410, 426, 496, 524], "lr": [28, 44, 50, 136, 140, 148, 149, 196, 287, 304, 310, 401, 409, 457], "rate": [28, 44, 50, 71, 82, 100, 110, 111, 116, 117, 140, 149, 160, 161, 162, 181, 183, 222, 287, 304, 310, 331, 342, 359, 370, 371, 376, 377, 401, 409, 420, 421, 422, 441, 443, 483], "005": [28, 50, 140, 149, 287, 310, 401, 409], "maxepoch": [28, 44, 50, 136, 137, 139, 140, 148, 149, 287, 304, 310, 398, 400, 401, 409], "epoch": [28, 44, 50, 137, 139, 140, 149, 150, 155, 182, 183, 235, 287, 304, 310, 398, 400, 401, 409, 410, 416, 443, 496], "30": [28, 50, 125, 131, 132, 138, 149, 170, 208, 227, 241, 257, 287, 310, 319, 386, 391, 393, 399, 409, 431, 469, 488, 503, 519, 527], "outputlogspath": [28, 44, 50, 140, 148, 150, 153, 155, 287, 304, 310, 401, 410, 416], "randomse": [28, 44, 50, 136, 137, 139, 140, 148, 149, 287, 304, 310, 398, 400, 401, 409], "random": [28, 44, 50, 100, 116, 137, 139, 140, 146, 149, 170, 181, 201, 287, 304, 310, 359, 376, 398, 400, 401, 407, 409, 431, 441, 461], "seed": [28, 44, 50, 90, 100, 116, 137, 139, 140, 149, 160, 161, 162, 170, 214, 222, 287, 304, 310, 359, 376, 398, 400, 401, 409, 420, 421, 422, 431, 483], "shuffl": [28, 44, 137, 149, 163, 287, 304, 398, 409, 423], "testdataset": [28, 44, 50, 140, 148, 150, 235, 287, 304, 310, 401, 410, 496, 524], "statist": [28, 44, 50, 117, 125, 140, 150, 287, 304, 310, 377, 386, 401, 410], "validationsplit": [28, 44, 50, 140, 148, 150, 153, 155, 287, 304, 310, 401, 410, 416], "choos": [28, 44, 50, 97, 112, 140, 146, 150, 155, 184, 222, 287, 304, 310, 356, 372, 401, 407, 416, 445], "proport": [28, 44, 50, 140, 150, 155, 158, 287, 304, 310, 401, 410, 416], "against": [28, 44, 50, 122, 125, 130, 134, 140, 150, 155, 161, 174, 175, 211, 287, 304, 310, 381, 386, 390, 395, 401, 410, 416, 421, 435, 436, 472], "between": [28, 44, 50, 71, 78, 84, 85, 86, 88, 102, 107, 110, 111, 115, 118, 119, 120, 123, 140, 146, 150, 154, 155, 169, 171, 172, 183, 222, 238, 287, 304, 310, 331, 338, 343, 345, 346, 348, 361, 367, 370, 371, 375, 378, 379, 380, 383, 401, 407, 410, 415, 416, 430, 432, 433, 443, 483], "off": [28, 44, 50, 115, 118, 119, 140, 150, 155, 173, 287, 304, 310, 375, 378, 379, 401, 410, 416, 434], "verbos": [28, 44, 50, 136, 139, 140, 148, 150, 222, 287, 304, 310, 400, 401, 410, 483], "accept": [28, 44, 50, 77, 146, 237, 239, 287, 304, 310, 337, 407, 499, 501], "singl": [28, 44, 50, 71, 87, 101, 102, 104, 117, 123, 125, 163, 169, 181, 190, 191, 193, 210, 222, 238, 246, 250, 253, 287, 304, 310, 331, 347, 349, 360, 361, 364, 377, 383, 386, 423, 430, 441, 450, 452, 454, 471, 483, 500, 508, 512, 514], "item": [28, 50, 117, 146, 210, 235, 253, 287, 310, 377, 407, 471, 496, 514, 524], "doubl": [28, 50, 157, 198, 203, 212, 287, 310, 458, 463, 473], "In": [28, 44, 50, 67, 80, 88, 96, 98, 99, 105, 107, 109, 117, 120, 122, 125, 127, 128, 130, 133, 134, 141, 154, 155, 157, 162, 163, 166, 167, 169, 171, 172, 174, 177, 178, 179, 184, 185, 196, 235, 238, 239, 255, 287, 304, 310, 326, 340, 348, 355, 357, 358, 365, 367, 369, 377, 380, 381, 386, 388, 389, 390, 394, 395, 402, 415, 416, 418, 422, 423, 426, 428, 430, 432, 433, 435, 438, 439, 440, 445, 446, 457, 496, 517, 524, 528, 529, 533, 534], "csv": [28, 50, 81, 122, 150, 212, 244, 251, 287, 310, 341, 381, 410, 473, 513, 528], "best": [28, 50, 91, 96, 101, 104, 110, 111, 125, 127, 140, 146, 163, 165, 169, 178, 210, 287, 310, 350, 355, 360, 364, 370, 371, 386, 388, 401, 407, 423, 425, 430, 439, 471, 528], "wach": [28, 287, 528], "ever": [28, 50, 87, 287, 310, 347, 528], "opinion": [28, 50, 287, 310, 528], "win": [28, 50, 287, 310, 528], "award": [28, 50, 287, 310, 528], "terribl": [28, 50, 287, 310, 528], "act": [28, 50, 141, 217, 287, 310, 402, 528], "bad": [28, 50, 157, 235, 287, 310, 418, 496, 524, 528], "realli": [28, 50, 146, 158, 287, 310, 407, 419, 528], "Then": [28, 44, 139, 140, 169, 172, 213, 235, 261, 287, 304, 400, 401, 430, 433, 474, 496, 528], "trane": [28, 287], "smallcorpu": [28, 50, 287, 310, 528], "header": [28, 50, 51, 81, 210, 212, 237, 238, 239, 251, 287, 310, 311, 341, 471, 473, 499, 500, 501, 513, 528], "src": [28, 50, 66, 67, 78, 79, 80, 84, 85, 117, 128, 130, 133, 134, 139, 140, 141, 152, 162, 171, 184, 185, 190, 196, 253, 254, 255, 256, 257, 287, 310, 325, 326, 338, 339, 340, 343, 345, 377, 389, 390, 394, 395, 400, 401, 402, 413, 422, 432, 445, 446, 450, 457, 514, 515, 517, 518, 519, 528, 534], "useembed": [28, 44, 50, 115, 287, 304, 310, 375, 528], "docclassifi": [28, 44, 50, 287, 304, 310, 528], "setbatchs": [28, 44, 50, 64, 68, 90, 92, 103, 136, 140, 148, 149, 160, 161, 162, 182, 183, 214, 222, 235, 287, 304, 310, 327, 351, 362, 401, 409, 420, 421, 422, 443, 483, 496, 524, 528], "setmaxepoch": [28, 44, 50, 136, 137, 139, 140, 141, 148, 149, 235, 287, 304, 310, 398, 400, 401, 402, 409, 496, 524, 528], "20": [28, 42, 51, 67, 69, 77, 86, 120, 138, 160, 163, 165, 166, 167, 169, 171, 172, 173, 174, 175, 177, 178, 208, 212, 227, 241, 287, 302, 311, 326, 328, 337, 346, 380, 399, 420, 423, 425, 426, 428, 430, 432, 433, 434, 435, 436, 438, 439, 469, 473, 488, 503, 528], "setlr": [28, 44, 50, 136, 140, 148, 149, 235, 287, 304, 310, 401, 409, 496, 524, 528], "5e": [28, 50, 287, 310, 528], "pipelinemodel": [28, 42, 44, 50, 84, 85, 87, 100, 116, 139, 140, 141, 158, 183, 184, 185, 196, 208, 211, 235, 239, 242, 287, 302, 304, 310, 343, 345, 347, 359, 376, 400, 401, 402, 419, 443, 445, 446, 457, 469, 472, 496, 501, 504, 528, 531], "v": [28, 44, 50, 82, 98, 102, 107, 117, 125, 127, 130, 140, 149, 150, 165, 185, 222, 227, 287, 304, 310, 342, 357, 361, 367, 377, 386, 388, 390, 401, 409, 410, 425, 446, 483, 488], "your": [28, 44, 50, 84, 88, 92, 99, 100, 110, 112, 116, 128, 130, 133, 134, 138, 139, 140, 144, 146, 147, 152, 157, 158, 160, 161, 162, 183, 184, 190, 191, 196, 201, 239, 247, 248, 250, 261, 262, 287, 304, 310, 343, 348, 351, 358, 359, 370, 372, 376, 389, 390, 394, 395, 399, 400, 401, 405, 407, 408, 413, 418, 419, 420, 421, 422, 443, 445, 450, 452, 457, 461, 501, 509, 510, 512, 526, 528, 531, 532, 534], "own": [28, 44, 50, 84, 100, 116, 128, 130, 133, 134, 139, 140, 144, 152, 157, 158, 183, 184, 190, 191, 196, 262, 287, 304, 310, 343, 349, 359, 376, 389, 390, 394, 395, 400, 401, 405, 413, 418, 419, 443, 445, 450, 452, 457, 531, 532, 534], "classifierdl_use_trec6": [28, 287, 528], "trec": [28, 287], "sarcasmdl": [28, 287, 528], "classifierdl_use_sarcasm": [28, 287, 528], "sarcasm": [28, 287, 528], "m": [28, 88, 131, 132, 164, 251, 257, 287, 348, 391, 393, 424, 513, 519, 528], "readi": [28, 241, 261, 287, 503, 528], "could": [28, 99, 125, 133, 150, 183, 287, 358, 386, 394, 410, 443, 527, 528, 529], "put": [28, 210, 227, 287, 471, 488, 528], "word": [28, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 80, 84, 85, 91, 97, 98, 100, 102, 103, 110, 112, 115, 116, 117, 120, 122, 123, 125, 128, 135, 138, 142, 143, 144, 152, 157, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 183, 184, 185, 186, 187, 191, 193, 195, 196, 208, 227, 237, 238, 239, 241, 247, 251, 255, 256, 259, 287, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 340, 343, 345, 350, 356, 357, 359, 361, 362, 370, 372, 375, 376, 377, 380, 381, 383, 386, 389, 396, 399, 403, 404, 405, 413, 418, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 445, 446, 447, 448, 452, 454, 456, 457, 469, 488, 499, 501, 503, 509, 513, 517, 518, 527, 528], "wake": [28, 287, 528], "am": [28, 86, 131, 132, 160, 165, 166, 167, 168, 173, 174, 175, 177, 190, 287, 346, 391, 393, 420, 425, 426, 428, 429, 434, 435, 436, 438, 450, 528], "mondai": [28, 287, 528], "arrays_zip": [28, 84, 85, 125, 287, 343, 345, 386, 528], "out": [28, 69, 70, 71, 72, 73, 74, 75, 76, 77, 81, 92, 95, 101, 109, 125, 128, 144, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 186, 187, 287, 328, 330, 331, 332, 333, 334, 335, 336, 337, 341, 351, 354, 360, 369, 386, 389, 405, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 447, 448, 528], "deberta": [29, 30, 31, 32, 98, 288, 289, 290, 291, 357], "deberta_v3_xsmall_qa_squad2": [29, 288], "v2": [30, 31, 93, 94, 98, 178, 289, 290, 352, 353, 357, 439], "v3": [30, 31, 289, 290], "deberta_v3_xsmall_sequence_classifier_imdb": [30, 289], "deberta_base_sequence_classifier_imdb": [30, 289], "deberta_v3_xsmall_token_classifier_conll03": [31, 290], "deberta_base_zero_shot_classifier_mnli_anli_v3": [32, 291], "distilbert": [33, 34, 36, 37, 99, 292, 293, 295, 296, 358], "distilbert_base_cased_qa_squad2": [33, 292], "distilbert_base_sequence_classifier_imdb": [34, 293], "distilbert_base_token_classifier_conll03": [35, 294], "distilbert_base_zero_shot_classifier_uncased_mnli": [36, 295], "distilbert_base_uncased_multiple_choic": [37, 296], "longform": [38, 39, 40, 105, 298, 299, 300, 365], "longformer_base_base_qa_squad2": [38, 298], "longformer_base_sequence_classifier_imdb": [39, 299], "4096": [39, 69, 70, 91, 105, 162, 222, 299, 328, 330, 350, 365, 422, 483], "xlnet_base_token_classifier_conll03": [40, 58, 300, 318], "longformer_base_token_classifier_conll03": [40, 300], "mpnet": [41, 42, 107, 301, 302, 367], "mpnet_base_question_answering_squad2": [41, 301], "mpnet_sequence_classifier_ukr_messag": [42, 302], "drive": [42, 302], "car": [42, 302], "bu": [42, 302], "arriv": [42, 302], "minut": [42, 44, 302, 304], "pineappl": [42, 302], "pizza": [42, 302], "worst": [42, 302], "transport": [42, 302], "movement": [42, 302], "food": [42, 146, 147, 161, 162, 203, 302, 407, 408, 421, 422, 463], "mpnet_base_sequence_classifier_imdb": [42, 302], "xlm": [43, 52, 53, 54, 55, 118, 119, 303, 312, 313, 314, 315, 378, 379], "roberta": [43, 45, 46, 47, 48, 49, 52, 53, 54, 55, 79, 96, 98, 105, 107, 110, 111, 118, 119, 143, 163, 303, 305, 306, 307, 308, 309, 312, 313, 314, 315, 339, 355, 357, 365, 367, 370, 371, 378, 379, 404, 423], "mpnet_base_token_classifi": [43, 55, 303, 315], "multiclassifierdl": [44, 304], "bidirect": [44, 93, 94, 103, 120, 163, 304, 352, 353, 362, 380, 423], "gru": [44, 304], "convolut": [44, 67, 80, 304, 326, 340], "machin": [44, 67, 86, 88, 100, 116, 125, 139, 163, 166, 169, 170, 172, 179, 235, 304, 319, 326, 346, 348, 359, 376, 386, 400, 423, 426, 430, 431, 433, 440, 496, 526], "strongli": [44, 304], "relat": [44, 84, 85, 122, 123, 304, 343, 345, 383, 533], "variant": [44, 82, 105, 115, 175, 304, 342, 365, 375, 436], "mai": [44, 88, 92, 146, 160, 161, 162, 167, 169, 174, 199, 222, 251, 304, 348, 349, 351, 407, 420, 421, 422, 428, 430, 435, 459, 483, 513, 527, 528, 529, 532, 533], "multiclass": [44, 222, 304], "categor": [44, 242, 304, 504], "precis": [44, 84, 85, 88, 222, 304, 343, 345, 348, 483], "constraint": [44, 304], "mani": [44, 73, 98, 110, 111, 125, 146, 163, 165, 166, 167, 169, 170, 172, 179, 196, 247, 248, 304, 319, 333, 349, 357, 370, 371, 386, 407, 423, 425, 426, 428, 430, 431, 433, 440, 457, 509, 510], "formal": [44, 304], "find": [44, 84, 85, 109, 110, 111, 114, 115, 122, 123, 128, 131, 163, 166, 178, 304, 343, 345, 369, 370, 371, 374, 375, 381, 383, 389, 391, 423, 426, 439], "x": [44, 71, 227, 253, 261, 304, 331, 488, 514, 534], "binari": [44, 207, 214, 223, 235, 246, 248, 251, 304, 467, 484, 496, 508, 510, 513], "y": [44, 88, 261, 304, 348], "multiclassifi": [44, 235, 304, 496, 524], "001": [44, 82, 139, 140, 304, 342, 400, 401], "10": [44, 63, 68, 84, 88, 95, 125, 131, 132, 142, 146, 164, 169, 181, 184, 235, 257, 304, 323, 327, 343, 348, 354, 386, 391, 393, 403, 407, 424, 430, 441, 445, 496, 519, 527], "44": [44, 100, 116, 152, 172, 304, 359, 376, 413, 433], "ed58abb40640f983": [44, 304], "pn": [44, 304], "newsyou": [44, 304], "toxic": [44, 172, 174, 304, 433, 435], "a1237f726b5f5d89": [44, 304], "dude": [44, 304], "place": [44, 80, 162, 210, 304, 340, 349, 422, 471], "obscen": [44, 304], "insult": [44, 304], "24b0d6c8733c2abe": [44, 304], "thank": [44, 120, 125, 164, 257, 304, 380, 386, 424, 519], "8c4478fb239bcfc0": [44, 304], "gee": [44, 304], "traindataset": [44, 235, 304, 496, 524], "printschema": [44, 198, 200, 207, 209, 237, 246, 251, 304, 458, 460, 467, 470, 499, 508, 513], "root": [44, 63, 84, 85, 123, 198, 200, 207, 209, 237, 246, 248, 251, 254, 304, 323, 343, 345, 383, 458, 460, 467, 470, 499, 508, 510, 513, 515], "setcleanupmod": [44, 197, 200, 209, 304, 460, 470], "shrink": [44, 200, 209, 304, 460, 470], "1e": [44, 235, 304, 496, 524], "setvalidationsplit": [44, 148, 150, 153, 155, 304, 410, 416], "multiclassifierdl_use_tox": [44, 304], "comment": [44, 125, 304, 386], "jigsaw": [44, 304], "good": [44, 96, 99, 115, 158, 304, 355, 358, 375, 419], "stuff": [44, 304], "wtf": [44, 304], "kind": [44, 125, 131, 132, 304, 386, 391, 393], "crap": [44, 304], "roberta_base_uncased_multiple_choic": [45, 305], "roberta_base_qa_squad2": [46, 143, 306, 404], "roberta_base_sequence_classifier_imdb": [47, 307], "roberta_base_token_classifier_conll03": [48, 308], "roberta_base_zero_shot_classifier_nli": [49, 309], "sentimentdl": [50, 310], "affect": [50, 193, 222, 310, 454, 483], "subject": [50, 84, 85, 310, 343, 345], "view": [50, 310], "product": [50, 173, 310, 434], "review": [50, 146, 231, 310, 407, 492], "tweet": [50, 310], "interpret": [50, 86, 122, 177, 225, 310, 346, 381, 438, 486], "posit": [50, 98, 99, 107, 113, 118, 119, 120, 125, 138, 141, 146, 157, 158, 162, 181, 192, 196, 213, 222, 235, 310, 357, 358, 367, 373, 378, 379, 380, 386, 399, 402, 407, 418, 419, 422, 441, 453, 457, 474, 483, 496, 524], "final": [50, 86, 105, 110, 111, 118, 119, 127, 140, 169, 183, 310, 346, 365, 370, 371, 378, 379, 388, 401, 430, 443, 528], "otheriws": [50, 127, 310, 388], "neutral": [50, 127, 310, 388], "score": [50, 93, 94, 118, 119, 125, 127, 139, 140, 143, 157, 158, 161, 166, 203, 310, 352, 353, 378, 379, 386, 388, 400, 401, 404, 418, 419, 421, 426, 463], "less": [50, 99, 127, 131, 135, 139, 170, 174, 184, 310, 358, 388, 391, 396, 400, 431, 435, 445], "watch": [50, 158, 165, 310, 419, 425], "32": [50, 91, 92, 103, 160, 161, 162, 222, 257, 310, 350, 351, 362, 420, 421, 422, 483, 519, 527, 533], "p": [50, 87, 100, 116, 127, 140, 141, 150, 160, 161, 162, 191, 222, 310, 347, 359, 376, 388, 401, 402, 410, 420, 421, 422, 452, 483], "sentimentdl_use_imdb": [50, 310], "imdb": [50, 310], "sentimentdl_use_twitt": [50, 310], "wow": [50, 310], "video": [50, 125, 310, 386], "awesom": [50, 310], "bruh": [50, 310], "damn": [50, 310], "wast": [50, 158, 310, 419], "implement": [51, 100, 116, 118, 143, 155, 183, 205, 206, 311, 320, 349, 359, 376, 378, 404, 416, 441, 443, 465, 466, 475, 476, 485, 491, 495, 511], "tapa": [51, 311], "design": [51, 67, 77, 78, 82, 93, 94, 110, 111, 114, 130, 161, 163, 168, 170, 173, 176, 178, 235, 311, 319, 326, 337, 338, 342, 352, 353, 370, 371, 374, 390, 421, 423, 429, 431, 434, 437, 439, 496, 524], "about": [51, 65, 72, 73, 77, 84, 85, 110, 111, 113, 117, 125, 143, 146, 154, 165, 185, 208, 211, 259, 311, 324, 332, 333, 337, 343, 345, 370, 371, 373, 377, 386, 404, 407, 415, 425, 446, 469, 472, 521, 527, 529, 532, 533], "tabular": [51, 212, 311, 473], "tabl": [51, 181, 212, 214, 218, 237, 238, 239, 250, 251, 311, 441, 473, 478, 499, 500, 512, 513], "tri": [51, 311], "share": [51, 125, 311, 386, 529], "its": [51, 70, 80, 98, 99, 105, 120, 125, 152, 157, 161, 162, 163, 170, 171, 173, 174, 175, 177, 178, 187, 210, 235, 238, 246, 255, 311, 319, 330, 340, 357, 358, 365, 380, 386, 413, 418, 421, 422, 423, 431, 432, 434, 435, 436, 438, 439, 448, 471, 496, 517], "table_qa_tapas_base_finetuned_wtq": [51, 311], "table_json": [51, 311], "document_t": [51, 212, 250, 311, 473, 512], "stage": [51, 113, 181, 208, 211, 235, 239, 246, 247, 250, 311, 373, 441, 469, 472, 496, 501, 508, 509, 512, 524, 528, 529, 532], "json_data": [51, 311], "monei": [51, 212, 311, 473], "ag": [51, 95, 101, 109, 212, 311, 354, 360, 369, 473], "donald": [51, 212, 311, 473], "trump": [51, 212, 311, 473], "75": [51, 125, 175, 212, 311, 386, 436, 473], "elon": [51, 212, 311, 473], "musk": [51, 212, 311, 473], "55": [51, 142, 212, 257, 311, 403, 473, 519], "AS": [51, 63, 143, 311, 323, 404], "who": [51, 86, 88, 168, 191, 311, 346, 348, 429, 452, 528], "earn": [51, 311], "count": [51, 146, 177, 183, 238, 311, 407, 438, 443], "old": [51, 63, 255, 311, 323, 517], "xlm_roberta_base_qa_squad2": [52, 53, 312, 313], "xlm_roberta_base_mc": [52, 312], "xlm_roberta_base_sequence_classifier_imdb": [54, 314], "xlm_roberta_large_zero_shot_classifier_xnli_anli": [56, 316], "xlmroberta": [56, 316], "xlnet": [57, 58, 107, 120, 317, 318, 367, 380], "xlnet_base_sequence_classifier_imdb": [57, 317], "bullet": [59, 60, 61, 251, 319, 513], "cleanpostfixpattern": [59, 60, 319], "cleanprefixpattern": [59, 60, 319], "cleanermod": [59, 60, 319], "dash": [59, 60, 319], "extrawhitespac": [59, 60, 319], "ignorecas": [59, 60, 319], "setbullet": [59, 60, 319], "setcleanpostfixpattern": [59, 60, 319], "setcleanprefixpattern": [59, 60, 319], "setcleanermod": [59, 60, 319], "setdash": [59, 60, 319], "setextrawhitespac": [59, 60, 319], "setignorecas": [59, 60, 319], "setstrip": [59, 60, 319], "settrailingpunctu": [59, 60, 319], "strip": [59, 60, 319], "trailingpunctu": [59, 60, 319], "emailaddress": [59, 61, 320], "emaildatetimetzpattern": [59, 61, 320], "extractormod": [59, 61, 320], "imageurlpattern": [59, 61, 320], "ipaddressnamepattern": [59, 61, 320], "ipaddresspattern": [59, 61, 320], "mapiidpattern": [59, 61, 320], "setemailaddress": [59, 61, 320], "setemaildatetimetzpattern": [59, 61, 320], "setextractormod": [59, 61, 320], "setimageurlpattern": [59, 61, 320], "setindex": [59, 61, 320], "setipaddressnamepattern": [59, 61, 320], "setipaddresspattern": [59, 61, 320], "setmapiidpattern": [59, 61, 320], "settextpattern": [59, 61, 320], "setusphonenumberspattern": [59, 61, 320], "textpattern": [59, 61, 320], "usphonenumberspattern": [59, 61, 320], "handl": [60, 69, 70, 163, 171, 225, 250, 252, 319, 328, 330, 423, 432, 486, 512, 516], "postfix": [60, 319], "regex": [60, 86, 87, 122, 131, 133, 144, 183, 184, 185, 192, 193, 196, 219, 237, 238, 319, 346, 347, 381, 384, 391, 394, 405, 443, 445, 446, 453, 454, 457, 479, 499], "prefix": [60, 138, 160, 161, 162, 189, 191, 193, 235, 319, 399, 420, 421, 422, 452, 454, 496, 524], "clean": [60, 87, 144, 163, 179, 213, 319, 347, 405, 423, 440, 474, 529], "bytes_string_to_str": [60, 319], "clean_non_ascii_char": [60, 319], "clean_ordered_bullet": [60, 319], "clean_postfix": [60, 319], "clean_prefix": [60, 319], "remove_punctu": [60, 319], "replace_unicode_quot": [60, 319], "utf": [60, 87, 319, 347], "remov": [60, 81, 87, 110, 111, 144, 158, 192, 201, 202, 204, 219, 259, 319, 341, 347, 370, 371, 405, 419, 453, 461, 462, 464, 479], "extra": [60, 183, 184, 210, 319, 443, 445, 471, 528], "whitespac": [60, 86, 88, 192, 196, 199, 319, 346, 348, 453, 457, 459], "oper": [60, 99, 105, 183, 191, 319, 358, 365, 443, 452, 527], "lead": [60, 91, 96, 108, 113, 114, 118, 119, 168, 319, 350, 355, 368, 373, 374, 378, 379, 429], "trail": [60, 319], "punctuat": [60, 144, 154, 319, 405, 415], "specifi": [61, 67, 81, 92, 142, 143, 146, 155, 160, 161, 162, 181, 222, 253, 254, 320, 326, 341, 349, 351, 403, 404, 407, 416, 420, 421, 422, 483, 514, 515], "email": [61, 237, 239, 244, 247, 251, 320, 499, 501, 509, 513], "timestamp": [61, 246, 320, 508], "includ": [61, 70, 78, 87, 93, 94, 95, 100, 103, 114, 116, 118, 119, 120, 123, 125, 131, 138, 139, 140, 141, 146, 163, 164, 166, 167, 173, 175, 177, 178, 179, 181, 183, 202, 203, 207, 225, 235, 237, 238, 239, 246, 247, 248, 250, 256, 261, 320, 330, 338, 347, 349, 352, 353, 354, 359, 362, 374, 376, 378, 379, 380, 383, 386, 391, 399, 400, 401, 402, 407, 423, 424, 426, 428, 434, 436, 438, 439, 440, 441, 443, 462, 463, 467, 486, 496, 499, 500, 501, 508, 509, 510, 512, 518, 525, 527, 528, 529, 534], "zone": [61, 114, 320, 374], "email_d": 61, "email_address": 61, "ip_address": 61, "ip_address_nam": 61, "mapi_id": 61, "us_phone_numb": 61, "image_url": 61, "text_aft": 61, "text_befor": 61, "url": [61, 104, 237, 238, 239, 251, 320, 364, 499, 501, 513], "after": [61, 81, 82, 84, 85, 100, 110, 111, 115, 116, 131, 132, 138, 146, 165, 171, 191, 213, 235, 238, 261, 320, 341, 342, 343, 345, 359, 370, 371, 376, 391, 393, 399, 407, 425, 432, 452, 474, 496, 527, 528], "befor": [61, 87, 117, 131, 132, 141, 163, 179, 184, 192, 196, 261, 320, 347, 349, 377, 391, 393, 402, 423, 440, 441, 445, 453, 457, 476, 495, 524], "ip": [61, 320], "mapi": [61, 320], "u": [61, 84, 85, 98, 99, 125, 132, 138, 139, 140, 208, 227, 241, 254, 320, 343, 345, 357, 358, 386, 393, 399, 400, 401, 469, 488, 503, 515, 526, 529, 534], "phone": [61, 125, 175, 320, 386, 436], "maxsegmentlength": [62, 63, 323], "setmaxsegmentlength": [62, 63, 323], "settextgenr": [62, 63, 323], "textgenr": [62, 63, 323], "corefer": [63, 323], "resolut": [63, 78, 323, 338], "spanbert": [63, 323], "identifi": [63, 117, 125, 130, 133, 146, 147, 178, 192, 193, 226, 235, 237, 238, 323, 377, 386, 390, 394, 407, 408, 439, 453, 454, 487, 496, 499, 529], "given": [63, 67, 78, 79, 80, 86, 88, 104, 122, 125, 141, 143, 160, 161, 162, 163, 166, 173, 179, 183, 184, 185, 187, 207, 210, 221, 222, 233, 235, 259, 323, 326, 338, 339, 340, 346, 348, 364, 381, 386, 402, 404, 420, 421, 422, 423, 426, 434, 440, 443, 445, 446, 448, 467, 471, 482, 483, 495, 496, 521], "told": [63, 132, 323, 393], "mari": [63, 94, 111, 119, 155, 323, 353, 371, 379, 416], "he": [63, 86, 88, 98, 132, 191, 257, 323, 346, 348, 357, 393, 452, 519], "borrow": [63, 323], "book": [63, 87, 166, 183, 254, 323, 347, 426, 443, 515], "her": [63, 143, 323, 404], "link": [63, 241, 323, 503], "ontonot": [63, 323], "corefresolut": [63, 323], "spanbert_base_coref": [63, 323], "genr": [63, 323], "One": [63, 104, 125, 162, 191, 194, 323, 364, 386, 422, 452, 455], "bc": [63, 323], "broadcast": [63, 323], "convers": [63, 323], "bn": [63, 323], "nw": [63, 323], "wire": [63, 323], "pt": [63, 323], "pivot": [63, 114, 323, 374], "testament": [63, 323], "tc": [63, 323], "telephon": [63, 323], "wb": [63, 323], "mz": 63, "getcandidatelabel": [64, 66, 325], "croppct": [64, 67, 326], "dorescal": [64, 67, 78, 79, 214, 222, 326, 338, 339, 483], "rescalefactor": [64, 67, 78, 79, 214, 222, 326, 338, 339, 483], "setcroppct": [64, 67, 326], "setdorescal": [64, 67, 214, 222, 326, 483], "setrescalefactor": [64, 67, 214, 222, 326, 483], "ignoretokenid": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440], "setbeams": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 168, 169, 172, 176, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 429, 430, 433, 437, 483], "setdosampl": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 79, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 339, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "setignoretokenid": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440], "setmaxoutputlength": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "setminoutputlength": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "setnorepeatngrams": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "setrepetitionpenalti": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "settemperatur": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 145, 146, 159, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 407, 420, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "settopk": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 159, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 197, 203, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 420, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 463, 483], "settopp": [64, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 145, 146, 159, 160, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 214, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 407, 420, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "maxinputlength": [64, 69, 159, 170, 319, 328, 431], "imagegeneratemod": [64, 71, 331], "numofparallelimag": [64, 71, 331], "setimagegeneratemod": [64, 71, 331], "setnumofparallelimag": [64, 71, 331], "doimagesplit": [64, 77, 337], "imagetoken": [64, 77, 337], "maximages": [64, 77, 337], "numvisiontoken": [64, 77, 337], "paddingconst": [64, 77, 337], "patchsiz": [64, 77, 337], "setdoimagesplit": [64, 77, 337], "setimagetoken": [64, 77, 337], "setmaximages": [64, 77, 337], "setnumvisiontoken": [64, 77, 337], "setpaddingconst": [64, 77, 337], "setpatchs": [64, 77, 337], "setstoptokenid": [64, 77, 159, 164, 168, 176, 337, 424, 429, 437], "stoptokenid": [64, 77, 159, 164, 168, 176, 337, 424, 429, 437], "blip": [65, 324], "visual": [65, 67, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 235, 324, 326, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 496], "vision": [65, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 175, 324, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 436], "togeth": [65, 72, 75, 77, 104, 162, 324, 332, 335, 337, 364, 422], "visualqaclassifi": [65, 71, 72, 73, 74, 75, 76, 77, 324, 331, 332, 333, 334, 335, 336, 337], "blip_vqa_bas": [65, 324], "50": [65, 68, 69, 71, 72, 73, 74, 75, 76, 140, 142, 152, 163, 165, 166, 167, 169, 171, 172, 173, 174, 175, 177, 178, 250, 257, 324, 327, 328, 331, 332, 333, 334, 335, 336, 401, 403, 413, 423, 425, 426, 428, 430, 432, 433, 434, 435, 436, 438, 439, 512, 519], "image_df": [65, 68, 70, 71, 72, 73, 74, 75, 76, 102, 324, 327, 330, 331, 332, 333, 334, 335, 336, 361], "sparksessionfortest": [65, 71, 72, 73, 74, 75, 76, 324, 331, 332, 333, 334, 335, 336], "images_path": [65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337], "test_df": [65, 68, 70, 71, 72, 73, 74, 75, 76, 102, 324, 327, 330, 331, 332, 333, 334, 335, 336, 361], "withcolumn": [65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 102, 162, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 361, 422], "lit": [65, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 102, 162, 324, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 361, 422], "pictur": [65, 71, 72, 73, 75, 77, 324, 331, 332, 333, 335, 337], "setsiz": [65, 214, 222, 324, 483], "384": [65, 71, 77, 106, 324, 331, 337, 366], "cat_imag": [65, 71, 72, 73, 75, 76, 77, 324, 331, 332, 333, 335, 336, 337], "jpg": [65, 66, 67, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 162, 324, 325, 326, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 422], "cat": [65, 66, 67, 71, 72, 73, 75, 76, 77, 78, 79, 80, 102, 162, 324, 325, 326, 331, 332, 333, 335, 336, 337, 338, 339, 340, 361, 422], "abov": [65, 102, 117, 123, 255, 361, 377, 383, 517], "skip": [65, 100, 116, 123, 183, 359, 376, 383, 443], "blip_vqa_tf": [65, 324], "clip": [66, 162, 325, 422], "contrast": [66, 101, 104, 105, 109, 130, 179, 325, 360, 364, 365, 369, 390, 440], "neural": [66, 80, 93, 94, 98, 140, 155, 163, 170, 319, 325, 340, 352, 353, 357, 401, 416, 423, 431], "network": [66, 80, 93, 94, 103, 140, 155, 325, 340, 352, 353, 362, 401, 416], "abil": [66, 114, 125, 163, 165, 166, 171, 325, 374, 386, 423, 425, 426, 432], "hard": [66, 113, 186, 325, 373, 447], "make": [66, 67, 77, 78, 87, 92, 96, 105, 107, 118, 119, 125, 146, 147, 155, 158, 160, 161, 162, 163, 168, 171, 178, 184, 261, 325, 326, 337, 338, 347, 351, 355, 365, 367, 378, 379, 386, 407, 408, 416, 419, 420, 421, 422, 423, 429, 432, 439, 445, 530, 534], "veri": [66, 79, 80, 96, 103, 118, 119, 120, 158, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 208, 319, 325, 339, 340, 355, 362, 378, 379, 380, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 469, 527, 529, 532, 533], "gpt": [66, 110, 146, 163, 166, 175, 325, 370, 407, 423, 426, 436], "imageclassifi": [66, 67, 78, 79, 80, 325, 326, 338, 339, 340], "zero_shot_classifier_clip_vit_base_patch32": [66, 325], "huggingfac": [66, 67, 71, 73, 76, 77, 78, 79, 80, 96, 102, 174, 175, 176, 325, 326, 331, 333, 336, 337, 338, 339, 340, 355, 361, 435, 436, 437], "librari": [66, 67, 71, 73, 76, 77, 78, 79, 80, 92, 127, 160, 161, 162, 199, 200, 201, 209, 213, 262, 325, 326, 331, 333, 336, 337, 338, 339, 340, 351, 388, 420, 421, 422, 459, 460, 461, 470, 474, 533], "clipforzeroshotclassificationtestspec": [66, 325], "candidatelabel": [66, 214, 222, 325, 483], "imagedf": [66, 67, 69, 77, 78, 79, 80, 325, 326, 328, 337, 338, 339, 340], "dropinvalid": [66, 67, 78, 79, 80, 325, 326, 338, 339, 340], "photo": [66, 325], "bird": [66, 79, 162, 325, 339, 422], "dog": [66, 74, 79, 162, 325, 334, 339, 422], "hen": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "hippo": [66, 67, 78, 80, 162, 325, 326, 338, 340, 422], "room": [66, 79, 162, 210, 325, 339, 422, 471], "tractor": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "ostrich": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "ox": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "pipelinedf": [66, 67, 78, 79, 80, 325, 326, 338, 339, 340], "revers": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "image_nam": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "palac": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "jpeg": [66, 67, 78, 79, 80, 162, 207, 325, 326, 338, 339, 340, 422, 467], "egyptian_cat": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "hippopotamu": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "junco": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "bluetick": [66, 67, 74, 78, 79, 80, 162, 325, 326, 334, 338, 339, 340, 422], "chihuahua": [66, 67, 78, 79, 80, 162, 325, 326, 338, 339, 340, 422], "image_classifier_vit_base_patch16_224": [66, 80, 325, 340], "convnet": [67, 326], "convnext": [67, 326], "2020": [67, 125, 131, 132, 155, 326, 386, 391, 393, 416], "zhuang": [67, 326], "liu": [67, 78, 98, 110, 111, 326, 338, 357, 370, 371], "hanzi": [67, 326], "mao": [67, 326], "chao": [67, 326], "yuan": [67, 326], "wu": [67, 326], "christoph": [67, 326], "feichtenhof": [67, 326], "trevor": [67, 326], "darrel": [67, 326], "sain": [67, 326], "xie": [67, 326], "pure": [67, 77, 80, 170, 319, 326, 337, 340, 431], "inspir": [67, 158, 173, 184, 185, 231, 326, 419, 434, 445, 446, 492], "claim": [67, 326], "outperform": [67, 73, 95, 101, 105, 107, 109, 114, 115, 118, 119, 120, 125, 165, 166, 167, 168, 171, 174, 178, 326, 333, 354, 360, 365, 367, 369, 374, 375, 378, 379, 380, 386, 425, 426, 428, 429, 432, 435, 439], "convnextforimageclassificationtestspec": [67, 326], "roar": [67, 326], "began": [67, 326], "introduct": [67, 326], "vit": [67, 79, 80, 326, 339, 340], "quickli": [67, 146, 326, 407], "supersed": [67, 326], "vanilla": [67, 326], "hand": [67, 191, 326, 452], "face": [67, 114, 326, 374], "difficulti": [67, 326], "detect": [67, 68, 78, 115, 126, 127, 146, 147, 153, 154, 155, 237, 238, 239, 259, 326, 327, 338, 375, 387, 388, 407, 408, 414, 415, 416, 499, 500], "semant": [67, 78, 95, 103, 104, 114, 115, 181, 196, 326, 338, 354, 362, 364, 374, 375, 441, 457], "hierarch": [67, 78, 100, 116, 326, 338, 359, 376], "swin": [67, 78, 326, 338], "reintroduc": [67, 326], "sever": [67, 162, 178, 203, 237, 326, 422, 439, 463, 499, 534], "practic": [67, 96, 163, 171, 179, 326, 355, 423, 432, 440], "viabl": [67, 326], "backbon": [67, 78, 120, 326, 338, 380], "demonstr": [67, 78, 99, 102, 105, 106, 114, 125, 166, 168, 169, 170, 177, 248, 319, 326, 338, 358, 361, 365, 366, 374, 386, 426, 429, 430, 431, 438, 510], "remark": [67, 168, 326, 429], "wide": [67, 87, 93, 94, 98, 99, 101, 118, 119, 163, 167, 178, 326, 347, 352, 353, 357, 358, 360, 378, 379, 423, 428, 439], "varieti": [67, 68, 105, 107, 118, 119, 164, 326, 327, 365, 367, 378, 379, 424, 533], "howev": [67, 91, 107, 112, 114, 120, 125, 144, 167, 169, 172, 242, 326, 350, 367, 372, 374, 380, 386, 405, 428, 430, 433, 504, 527], "effect": [67, 78, 79, 80, 105, 106, 114, 146, 154, 163, 169, 171, 172, 179, 222, 326, 338, 339, 340, 365, 366, 374, 407, 415, 423, 430, 432, 433, 440, 483], "hybrid": [67, 326], "still": [67, 166, 235, 326, 426, 496], "credit": [67, 326], "superior": [67, 168, 171, 177, 326, 429, 432, 438], "inher": [67, 326], "induct": [67, 99, 326, 358], "bias": [67, 99, 173, 174, 326, 358, 434, 435], "reexamin": [67, 326], "space": [67, 100, 114, 116, 117, 135, 162, 181, 213, 326, 359, 374, 376, 377, 396, 422, 441, 474], "achiev": [67, 95, 98, 101, 104, 105, 106, 107, 110, 111, 118, 119, 120, 140, 163, 165, 166, 167, 170, 172, 175, 179, 208, 319, 326, 354, 357, 360, 364, 365, 366, 367, 370, 371, 378, 379, 380, 401, 423, 425, 426, 428, 431, 433, 436, 440, 469, 532], "gradual": [67, 326], "modern": [67, 326], "resnet": [67, 326], "toward": [67, 162, 166, 172, 326, 422, 426, 433], "discov": [67, 326, 525], "compon": [67, 80, 114, 198, 207, 250, 326, 340, 374, 409, 410, 458, 467, 477, 483, 494, 500, 512, 532], "contribut": [67, 167, 174, 326, 428, 435], "along": [67, 95, 123, 207, 326, 354, 383, 467], "wai": [67, 84, 85, 122, 123, 173, 174, 175, 177, 211, 241, 250, 326, 343, 345, 381, 383, 434, 435, 436, 438, 472, 503, 512], "outcom": [67, 326], "explor": [67, 114, 163, 169, 174, 179, 326, 374, 423, 430, 435, 440], "famili": [67, 69, 87, 95, 101, 167, 168, 175, 326, 328, 347, 354, 360, 428, 429, 436], "dub": [67, 118, 119, 326, 378, 379], "construct": [67, 100, 116, 193, 241, 326, 349, 359, 376, 454, 503, 531], "compet": [67, 326], "favor": [67, 326], "term": [67, 125, 326, 386], "scalabl": [67, 113, 326, 373], "87": [67, 78, 326, 338], "imagenet": [67, 78, 80, 326, 338, 340], "coco": [67, 78, 326, 338], "ade20k": [67, 78, 326, 338], "while": [67, 70, 71, 77, 78, 80, 91, 99, 104, 106, 117, 125, 146, 150, 162, 166, 169, 172, 203, 235, 250, 326, 330, 331, 337, 338, 340, 350, 358, 364, 366, 377, 386, 407, 410, 422, 426, 430, 433, 463, 496, 512, 524, 529], "maintain": [67, 70, 77, 106, 250, 326, 330, 337, 366, 512], "simplic": [67, 163, 326, 423], "effici": [67, 77, 78, 98, 100, 106, 113, 115, 116, 168, 170, 171, 178, 319, 326, 337, 338, 357, 359, 366, 373, 375, 376, 429, 431, 432, 439, 527], "dores": [67, 78, 79, 80, 214, 222, 326, 338, 339, 340, 483], "resiz": [67, 78, 79, 80, 222, 326, 338, 339, 340, 483], "certain": [67, 78, 79, 80, 183, 222, 326, 338, 339, 340, 443, 483], "donorm": [67, 78, 79, 80, 214, 222, 326, 338, 339, 340, 483], "deviat": [67, 78, 79, 80, 222, 326, 338, 339, 340, 483], "featureextractortyp": [67, 78, 79, 80, 214, 222, 326, 338, 339, 340, 483], "architectur": [67, 70, 71, 77, 78, 79, 80, 91, 93, 94, 98, 110, 127, 140, 155, 163, 172, 173, 177, 179, 222, 326, 330, 331, 337, 338, 339, 340, 350, 352, 353, 357, 370, 388, 401, 416, 423, 433, 434, 438, 440, 483], "featur": [67, 69, 70, 76, 78, 79, 80, 84, 100, 108, 113, 114, 116, 125, 135, 139, 150, 158, 162, 171, 181, 222, 235, 239, 326, 328, 330, 336, 338, 339, 340, 343, 359, 368, 373, 374, 376, 386, 396, 400, 410, 422, 432, 441, 483, 496, 501, 531], "imagemean": [67, 78, 79, 80, 214, 222, 326, 338, 339, 340, 483], "imagestd": [67, 78, 79, 80, 214, 222, 326, 338, 339, 340, 483], "resampl": [67, 78, 79, 80, 214, 222, 326, 338, 339, 340, 483], "pil": [67, 78, 79, 80, 222, 326, 338, 339, 340, 483], "nearest": [67, 78, 79, 80, 181, 222, 326, 338, 339, 340, 441, 483], "bilinear": [67, 78, 79, 80, 222, 326, 338, 339, 340, 483], "bicub": [67, 78, 79, 80, 222, 326, 338, 339, 340, 483], "do_res": [67, 78, 79, 80, 222, 326, 338, 339, 340, 483], "tupl": [67, 78, 79, 80, 210, 222, 233, 326, 338, 339, 340, 471, 483, 495], "rescal": [67, 78, 79, 222, 326, 338, 339, 483], "factor": [67, 78, 79, 92, 118, 119, 120, 160, 161, 162, 163, 179, 183, 222, 326, 338, 339, 351, 378, 379, 380, 420, 421, 422, 423, 440, 443, 483], "percentag": [67, 117, 183, 196, 326, 377, 443, 457, 480], "crop": [67, 326], "tabbi": [67, 78, 326, 338], "river": [67, 78, 80, 326, 338, 340], "hors": [67, 78, 80, 161, 203, 326, 338, 340, 421, 463], "amphibiu": [67, 78, 80, 326, 338, 340], "snowbird": [67, 78, 80, 326, 338, 340], "struthio": [67, 78, 80, 326, 338, 340], "camelu": [67, 78, 80, 326, 338, 340], "thresher": [67, 326], "thrasher": [67, 326], "thresh": [67, 326], "image_classifier_convnext_tiny_224_loc": [67, 326], "determin": [67, 118, 210, 222, 238, 326, 349, 378, 471, 483], "smaller": [67, 88, 99, 100, 106, 113, 116, 326, 348, 358, 359, 366, 373, 376], "224": [67, 326], "256": [67, 162, 326, 422], "edg": [67, 99, 123, 165, 168, 326, 358, 383, 425, 429], "afterward": [67, 326], "boolean": [67, 131, 222, 326, 391, 483], "255": [67, 222, 326, 483], "florenc": [68, 327], "prompt": [68, 92, 146, 160, 161, 162, 175, 210, 222, 248, 250, 327, 351, 407, 420, 421, 422, 436, 471, 483, 510, 512], "caption": [68, 73, 79, 162, 327, 333, 339, 422], "ocr": [68, 327], "describ": [68, 69, 71, 76, 77, 84, 85, 109, 123, 125, 170, 319, 327, 328, 331, 336, 337, 343, 345, 369, 383, 386, 431], "florence2": [68, 327], "florence2_base_ft_int4": [68, 327], "200": [68, 86, 163, 172, 179, 327, 346, 423, 433, 440], "od": [68, 327], "use_openvino": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 93, 94, 101, 102, 106, 109, 110, 118, 164, 165, 167, 168, 169, 171, 172, 174, 175, 176, 177, 178, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 352, 353, 360, 361, 366, 369, 370, 378, 424, 425, 428, 429, 430, 432, 433, 435, 436, 437, 438, 439], "gram": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 95, 100, 101, 109, 116, 125, 135, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 354, 359, 360, 369, 376, 386, 396, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "cumul": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "gemma": [69, 328], "merger": [69, 70, 74, 328, 330, 334], "merg": [69, 70, 74, 123, 130, 134, 237, 238, 328, 330, 334, 383, 390, 395, 499, 500], "lightweight": [69, 77, 106, 175, 328, 337, 366, 436], "open": [69, 73, 77, 109, 113, 127, 164, 165, 167, 168, 169, 173, 174, 175, 176, 177, 178, 193, 199, 200, 201, 209, 213, 328, 333, 337, 369, 373, 388, 424, 425, 428, 429, 430, 434, 435, 436, 437, 438, 439, 454, 459, 460, 461, 470, 474, 525], "googl": [69, 91, 93, 94, 98, 100, 103, 110, 111, 115, 116, 125, 179, 239, 254, 328, 350, 352, 353, 357, 359, 362, 370, 371, 375, 376, 386, 440, 501, 515], "research": [69, 91, 93, 94, 98, 100, 116, 164, 170, 172, 173, 174, 176, 179, 319, 328, 350, 352, 353, 357, 359, 376, 424, 431, 433, 434, 435, 437, 440], "technologi": [69, 125, 328, 386], "gemini": [69, 328], "128k": [69, 175, 328, 436], "window": [69, 70, 78, 79, 100, 105, 115, 116, 125, 140, 171, 177, 183, 328, 330, 338, 339, 359, 365, 376, 386, 401, 432, 438, 443], "140": [69, 127, 328, 388], "multimod": [69, 70, 71, 73, 76, 77, 102, 160, 162, 165, 207, 260, 328, 330, 331, 333, 336, 337, 361, 420, 422, 425, 467, 522], "both": [69, 70, 81, 93, 94, 101, 103, 109, 115, 123, 146, 163, 168, 171, 173, 175, 177, 328, 330, 341, 352, 353, 360, 362, 369, 375, 383, 407, 423, 429, 432, 434, 436, 438, 528, 529], "optim": [69, 70, 73, 81, 92, 95, 100, 110, 111, 113, 114, 116, 140, 143, 155, 160, 161, 162, 164, 167, 168, 174, 175, 222, 328, 330, 333, 341, 351, 354, 359, 370, 371, 373, 374, 376, 401, 404, 416, 420, 421, 422, 424, 428, 429, 435, 436, 483], "deploy": [69, 70, 328, 330], "laptop": [69, 328], "desktop": [69, 87, 328, 347], "cloud": [69, 125, 328, 386], "visualqa": [69, 70, 77, 328, 330, 337], "gemma3_4b_it_int4": [69, 328], "9": [69, 98, 118, 119, 135, 147, 160, 165, 169, 175, 176, 328, 357, 378, 379, 396, 408, 420, 425, 430, 436, 437, 527, 532, 533], "testdf": [69, 77, 328, 337], "bo": [69, 160, 161, 162, 328, 420, 421, 422], "start_of_turn": [69, 328], "nyou": [69, 76, 88, 210, 328, 336, 348, 471], "assist": [69, 70, 72, 73, 75, 76, 102, 164, 168, 176, 178, 210, 227, 328, 330, 332, 333, 335, 336, 361, 424, 429, 437, 439, 471, 488], "start_of_imag": [69, 328], "end_of_turn": [69, 328], "http": [69, 70, 71, 72, 73, 74, 75, 76, 77, 91, 95, 96, 98, 100, 102, 103, 104, 109, 115, 116, 146, 147, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 196, 222, 237, 239, 251, 350, 354, 355, 357, 359, 361, 362, 364, 369, 375, 376, 407, 408, 423, 425, 435, 436, 437, 438, 457, 499, 501, 513, 525], "arxiv": [69, 70, 71, 72, 73, 74, 75, 76, 77, 105, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 365, 423, 437], "pdf": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 237, 238, 239, 244, 246, 247, 250, 251, 499, 500, 501, 508, 509, 512, 513], "1909": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222], "05858": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222], "__": [69, 70, 71, 72, 73, 74, 75, 76, 77, 87, 141, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 201, 202, 222, 347, 402, 423, 461, 462], "ctrl": [69, 70, 71, 72, 73, 74, 75, 76, 77, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 328, 330, 331, 332, 333, 334, 335, 336, 337, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "condit": [69, 70, 71, 72, 73, 74, 75, 76, 77, 93, 94, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 222, 328, 330, 331, 332, 333, 334, 335, 336, 337, 352, 353, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 483], "control": [69, 70, 71, 72, 73, 74, 75, 76, 77, 146, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 183, 222, 319, 328, 330, 331, 332, 333, 334, 335, 336, 337, 407, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 483], "internvl": [70, 330], "advanc": [70, 95, 127, 168, 171, 176, 177, 178, 199, 210, 213, 330, 354, 388, 429, 432, 437, 438, 439, 459, 471, 474], "mllm": [70, 330], "seri": [70, 165, 173, 177, 330, 425, 434, 438], "build": [70, 98, 99, 110, 111, 123, 125, 130, 166, 167, 169, 173, 174, 178, 235, 247, 250, 261, 330, 357, 358, 370, 371, 383, 386, 390, 426, 428, 430, 434, 435, 439, 496, 509, 512, 524], "core": [70, 81, 114, 330, 341, 374], "introduc": [70, 93, 94, 95, 99, 103, 104, 105, 107, 114, 163, 167, 168, 171, 175, 177, 178, 179, 330, 352, 353, 354, 358, 362, 364, 365, 367, 374, 423, 428, 429, 432, 436, 438, 439, 440], "signific": [70, 110, 111, 118, 119, 125, 128, 167, 177, 330, 370, 371, 378, 379, 386, 389, 428, 438], "enhanc": [70, 71, 98, 158, 163, 168, 171, 174, 330, 331, 357, 419, 423, 429, 432, 435], "strategi": [70, 92, 97, 108, 112, 113, 114, 129, 131, 133, 154, 160, 161, 162, 183, 221, 222, 238, 250, 330, 351, 356, 368, 372, 373, 374, 391, 394, 415, 420, 421, 422, 443, 482, 483, 512], "int4": [70, 330], "quantiz": [70, 330], "internvl2_5_1b_int4": [70, 330], "larger": [70, 71, 73, 77, 79, 92, 95, 96, 99, 110, 111, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 181, 319, 330, 331, 333, 337, 339, 351, 354, 355, 358, 370, 371, 420, 421, 422, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 441], "im_start": [70, 76, 77, 330, 336, 337], "ndescrib": [70, 74, 330, 334], "im_end": [70, 76, 330, 336], "janu": [71, 331], "alongsid": [71, 73, 178, 238, 239, 331, 333, 439], "novel": [71, 98, 107, 114, 120, 125, 163, 172, 331, 357, 367, 374, 380, 386, 423, 433], "autoregress": [71, 120, 331, 380], "unifi": [71, 163, 179, 237, 250, 331, 423, 440, 499, 512], "understand": [71, 93, 94, 99, 107, 118, 120, 125, 163, 168, 174, 175, 178, 179, 196, 331, 352, 353, 358, 367, 378, 380, 386, 423, 429, 435, 436, 439, 440, 457, 527], "decoupl": [71, 331], "separ": [71, 86, 88, 99, 110, 133, 135, 154, 155, 184, 193, 196, 202, 227, 238, 239, 253, 331, 346, 348, 358, 370, 394, 396, 415, 416, 445, 454, 457, 462, 488, 500, 514, 526], "pathwai": [71, 331], "allevi": [71, 331], "conflict": [71, 331], "role": [71, 210, 331, 471], "surpass": [71, 78, 98, 109, 165, 171, 331, 338, 357, 369, 425, 432], "previou": [71, 78, 104, 107, 118, 119, 166, 168, 172, 177, 217, 331, 338, 364, 367, 378, 379, 426, 429, 433, 438, 528], "exce": [71, 110, 111, 146, 331, 370, 371, 407], "deepseek": [71, 331], "llm": [71, 73, 114, 167, 168, 174, 177, 178, 331, 333, 374, 428, 429, 435, 438, 439], "3b": [71, 178, 331, 439], "approxim": [71, 181, 331, 441], "500b": [71, 331], "emploi": [71, 88, 120, 331, 348, 380], "siglip": [71, 331], "downsampl": [71, 331], "16": [71, 91, 120, 142, 239, 255, 331, 350, 380, 403, 501, 517, 527], "janus_1_3b_int4": [71, 331], "suit": [71, 73, 76, 77, 95, 113, 331, 333, 336, 337, 354, 373], "image_placehold": [71, 331], "nassist": [71, 74, 77, 331, 334, 337], "unusu": [71, 72, 73, 75, 76, 77, 331, 332, 333, 335, 336, 337], "aspect": [71, 72, 73, 75, 77, 171, 331, 332, 333, 335, 337, 432], "presenc": [71, 72, 73, 75, 77, 160, 161, 162, 222, 331, 332, 333, 335, 337, 420, 421, 422, 483], "ly": [71, 72, 73, 75, 76, 77, 162, 331, 332, 333, 335, 336, 337, 422], "pink": [71, 72, 73, 75, 76, 77, 162, 331, 332, 333, 335, 336, 337, 422], "couch": [71, 72, 73, 75, 76, 77, 79, 331, 332, 333, 335, 336, 337, 339], "parallel": [71, 92, 102, 154, 155, 208, 222, 253, 331, 351, 361, 415, 416, 469, 483, 514, 532], "llava": [72, 332], "llava_1_5_7b_hf": [72, 332], "llama": [73, 92, 160, 161, 162, 167, 168, 171, 174, 207, 210, 333, 351, 420, 421, 422, 428, 429, 432, 435, 467, 471], "compris": [73, 146, 333, 407], "11b": [73, 333], "90b": [73, 333], "These": [73, 78, 91, 110, 111, 114, 120, 125, 139, 166, 168, 177, 210, 241, 333, 338, 350, 370, 371, 374, 380, 386, 400, 426, 429, 438, 471, 503, 526], "reason": [73, 86, 88, 146, 164, 171, 174, 175, 176, 178, 333, 346, 348, 407, 424, 432, 435, 436, 437, 439], "proprietari": [73, 113, 173, 177, 333, 373, 434, 438], "industri": [73, 87, 333, 347], "llama_3_2_11b_vision_instruct_int4": [73, 333], "begin_of_text": [73, 333], "start_header_id": [73, 102, 168, 176, 210, 333, 361, 429, 437, 471], "end_header_id": [73, 102, 168, 176, 210, 333, 361, 429, 437, 471], "eot_id": [73, 102, 210, 333, 361, 471], "paligemma": [74, 334], "paligemma_3b_pt_224_int4": [74, 334], "stand": [74, 79, 93, 94, 162, 171, 334, 339, 352, 353, 422, 432], "grassi": [74, 162, 334, 422], "field": [74, 79, 95, 100, 116, 117, 122, 134, 162, 173, 174, 175, 177, 259, 334, 339, 354, 359, 376, 377, 381, 395, 422, 434, 435, 436, 438, 521], "phi_3_vision_128k_instruct": [75, 335], "image_1": [75, 335], "nwhat": [75, 335], "phi3v": [75, 335], "qwen2": [76, 162, 177, 336, 422, 438], "integr": [76, 95, 120, 125, 145, 170, 235, 319, 336, 354, 380, 386, 406, 431, 496, 524, 526], "respons": [76, 146, 155, 167, 168, 174, 178, 336, 407, 416, 428, 429, 435, 439], "queri": [76, 95, 101, 109, 113, 159, 161, 167, 171, 177, 181, 336, 354, 360, 369, 373, 421, 428, 432, 438, 441, 525], "qwen2_vl_2b_instruct_int4": [76, 336], "vision_start": [76, 336], "image_pad": [76, 336], "vision_end": [76, 336], "becaus": [76, 146, 157, 261, 320, 336, 407, 418, 441, 476, 495], "smolvlm": [77, 337], "compact": [77, 337], "arbitrari": [77, 163, 171, 337, 423, 432], "produc": [77, 219, 337, 479, 528], "stori": [77, 337], "ground": [77, 79, 337, 339], "Its": [77, 78, 85, 143, 163, 337, 338, 345, 404, 423], "suitabl": [77, 141, 167, 174, 337, 402, 428, 435], "devic": [77, 99, 337, 358], "strong": [77, 101, 102, 118, 119, 173, 174, 175, 177, 337, 360, 361, 378, 379, 434, 435, 436, 438], "smolvlm_instruct_int4": [77, 337], "49153": [77, 337], "81": [77, 255, 337, 517], "patch": [77, 80, 337, 340], "14": [77, 138, 152, 194, 208, 227, 241, 247, 255, 337, 399, 413, 455, 469, 488, 503, 509, 517], "pad": [77, 256, 337, 518], "constant": [77, 221, 223, 337, 482, 484], "end_of_utter": [77, 337], "openvino": [77, 93, 94, 101, 102, 106, 110, 118, 337, 352, 353, 360, 361, 366, 370, 378], "stop": [77, 125, 139, 145, 146, 160, 161, 162, 164, 168, 176, 179, 187, 222, 243, 259, 337, 386, 400, 407, 420, 421, 422, 424, 429, 437, 440, 448, 483, 505], "termin": [77, 337], "swinimageclassif": [78, 338], "shift": [78, 338], "ze": [78, 338], "yutong": [78, 338], "lin": [78, 338], "yue": [78, 338], "cao": [78, 338], "han": [78, 338], "hu": [78, 338], "yixuan": [78, 338], "zheng": [78, 338], "zhang": [78, 338], "stephen": [78, 338], "bain": [78, 338], "guo": [78, 338], "basic": [78, 125, 154, 210, 261, 338, 386, 415, 471, 527], "whose": [78, 175, 338, 349, 436], "scheme": [78, 110, 163, 338, 370, 423], "bring": [78, 169, 338, 430, 528], "greater": [78, 125, 146, 160, 161, 162, 222, 338, 386, 407, 420, 421, 422, 483], "attent": [78, 80, 92, 98, 105, 106, 146, 160, 161, 162, 167, 171, 177, 222, 338, 340, 351, 357, 365, 366, 407, 420, 421, 422, 428, 432, 438, 483], "non": [78, 165, 169, 174, 193, 196, 247, 250, 338, 425, 430, 435, 454, 457, 509, 512], "overlap": [78, 86, 88, 130, 134, 236, 238, 338, 346, 348, 390, 395, 500], "cross": [78, 118, 119, 142, 338, 378, 379, 403], "connect": [78, 338], "image_classifier_swin_base_patch4_window7_224": [78, 338], "swinforimageclassificationtest": [78, 338], "present": [78, 91, 101, 103, 105, 106, 110, 111, 115, 118, 119, 123, 146, 150, 155, 163, 170, 181, 319, 338, 350, 360, 362, 365, 366, 370, 371, 375, 378, 379, 383, 407, 410, 416, 423, 431, 441], "call": [78, 93, 94, 99, 101, 106, 114, 125, 146, 166, 167, 174, 175, 210, 233, 242, 253, 338, 349, 352, 353, 358, 360, 366, 374, 386, 407, 426, 428, 435, 436, 471, 495, 504, 514, 528, 534], "purpos": [78, 99, 101, 155, 338, 358, 360, 416], "adapt": [78, 177, 338, 438], "aris": [78, 338], "domain": [78, 104, 114, 125, 166, 251, 338, 364, 374, 386, 426, 513], "variat": [78, 338], "high": [78, 92, 113, 114, 115, 118, 119, 160, 161, 162, 163, 169, 170, 172, 175, 178, 222, 319, 338, 351, 373, 374, 375, 378, 379, 420, 421, 422, 423, 430, 431, 433, 436, 439, 483], "variou": [78, 106, 114, 120, 171, 174, 178, 236, 237, 238, 239, 247, 248, 251, 260, 338, 366, 374, 380, 432, 435, 439, 498, 499, 500, 501, 509, 510, 513, 522], "complex": [78, 103, 114, 115, 125, 171, 177, 184, 185, 338, 362, 374, 375, 386, 432, 438, 445, 446], "respect": [78, 98, 117, 139, 140, 141, 175, 255, 338, 349, 357, 377, 400, 401, 402, 436, 517], "broad": [78, 86, 166, 338, 346, 426], "rang": [78, 93, 94, 98, 99, 101, 104, 118, 119, 160, 161, 162, 163, 167, 168, 174, 203, 222, 338, 352, 353, 357, 358, 360, 364, 378, 379, 420, 421, 422, 423, 428, 429, 435, 463, 483], "1k": [78, 338], "dens": [78, 93, 94, 95, 169, 175, 176, 181, 338, 352, 353, 354, 430, 436, 437, 441], "box": [78, 102, 169, 172, 338, 361, 430, 433], "ap": [78, 338], "51": [78, 200, 209, 255, 338, 460, 470, 517], "53": [78, 130, 134, 338, 390, 395], "miou": [78, 338], "val": [78, 338], "margin": [78, 107, 120, 338, 367, 380], "prove": [78, 338], "benefici": [78, 125, 338, 386], "mlp": [78, 338], "visionencoderdecod": [79, 339], "auto": [79, 87, 122, 163, 188, 339, 347, 381, 423, 449], "beit": [79, 339], "deit": [79, 339], "gpt2": [79, 166, 339, 426], "image_captioning_vit_gpt2": [79, 339], "visionencoderdecodertestspec": [79, 339], "nreturnsequ": [79, 214, 222, 339, 483], "computation": [79, 103, 110, 111, 120, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 319, 339, 362, 370, 371, 380, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440], "expens": [79, 103, 110, 111, 120, 157, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 184, 319, 339, 362, 370, 371, 380, 418, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 445], "especi": [79, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 250, 319, 339, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440, 512], "recommend": [79, 92, 103, 120, 146, 157, 158, 160, 161, 162, 163, 164, 165, 166, 167, 168, 170, 171, 173, 174, 175, 176, 177, 178, 179, 261, 319, 339, 351, 362, 380, 407, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 431, 432, 434, 435, 436, 437, 438, 439, 440], "imagecapt": [79, 339], "fill": [79, 163, 259, 339, 423, 521], "furnitur": [79, 339], "lai": [79, 172, 339, 433], "anoth": [79, 106, 162, 222, 247, 339, 366, 422, 483, 509, 529], "brown": [79, 162, 237, 339, 422, 499], "bear": [79, 237, 339, 499], "bodi": [79, 162, 339, 422], "water": [79, 162, 339, 422], "flock": [79, 339], "chicken": [79, 162, 339, 422], "lush": [79, 339], "green": [79, 162, 339, 422], "small": [79, 80, 87, 91, 92, 96, 99, 100, 109, 116, 128, 152, 160, 161, 162, 172, 174, 175, 178, 208, 222, 238, 255, 339, 340, 347, 350, 351, 355, 358, 359, 369, 376, 389, 413, 420, 421, 422, 433, 435, 436, 439, 469, 483, 517, 532], "wet": [79, 339], "wooden": [79, 339], "floor": [79, 162, 339, 422], "wear": [79, 162, 339, 422], "blue": [79, 339], "sweater": [79, 162, 339, 422], "man": [79, 92, 161, 162, 166, 167, 203, 339, 351, 421, 422, 426, 428, 463], "cow": [79, 339], "altern": [80, 125, 146, 157, 183, 184, 185, 208, 212, 340, 386, 407, 418, 443, 445, 446, 469, 473, 528, 533], "vitimageclassificationtestspec": [80, 340], "becom": [80, 91, 99, 125, 173, 340, 350, 358, 386, 434], "facto": [80, 125, 340, 386], "remain": [80, 87, 91, 99, 125, 250, 259, 340, 347, 350, 358, 386, 512, 521], "conjunct": [80, 340], "overal": [80, 117, 120, 165, 175, 340, 377, 380, 425, 436], "structur": [80, 143, 193, 203, 213, 237, 238, 239, 247, 248, 340, 404, 463, 474, 499, 500, 509, 510, 527], "relianc": [80, 114, 340, 374], "cnn": [80, 127, 140, 155, 340, 388, 401, 416], "necessari": [80, 99, 340, 349, 358, 524, 531], "directli": [80, 81, 141, 169, 172, 208, 235, 242, 340, 341, 402, 430, 433, 469, 496, 504, 524], "mid": [80, 340], "cifar": [80, 340], "vtab": [80, 340], "etc": [80, 87, 97, 101, 104, 106, 107, 122, 165, 177, 201, 213, 239, 340, 356, 360, 364, 366, 367, 381, 425, 438, 461, 474, 501, 524], "attain": [80, 340], "excel": [80, 120, 171, 237, 238, 239, 247, 251, 340, 380, 432, 499, 501, 509, 513], "substanti": [80, 93, 94, 340, 352, 353], "fewer": [80, 91, 104, 181, 340, 350, 364, 441], "worth": [80, 340], "16x16": [80, 340], "egyptian": [80, 340], "repartit": [81, 341], "cach": [81, 92, 117, 160, 161, 162, 163, 179, 181, 222, 242, 341, 351, 377, 420, 421, 422, 423, 440, 441, 483, 504], "persist": [81, 178, 253, 341, 439, 514], "disk": [81, 117, 341, 377, 528, 529], "intend": [81, 211, 341, 472], "prepar": [81, 146, 198, 200, 207, 209, 341, 407, 458, 460, 467, 470], "export": [81, 341], "indirectli": [81, 341], "json": [81, 122, 146, 210, 212, 235, 238, 257, 341, 381, 407, 471, 473, 496, 519], "writer": [81, 341], "executor": [81, 146, 147, 341, 407, 408], "node": [81, 123, 214, 218, 222, 341, 383, 478, 483], "overrid": [81, 160, 161, 162, 222, 233, 237, 341, 349, 420, 421, 422, 483, 495, 499], "worker": [81, 84, 85, 341, 343, 345], "dataframewrit": [81, 341], "compress": [81, 92, 106, 160, 161, 162, 222, 341, 351, 366, 420, 421, 422, 483], "snappi": [81, 341], "preserv": [81, 99, 138, 192, 203, 213, 250, 341, 358, 399, 453, 463, 474, 512], "modifi": [81, 84, 85, 110, 111, 138, 146, 155, 341, 343, 345, 370, 371, 399, 407, 416], "optimized_df": [81, 341], "input_df": [81, 341], "total": [81, 92, 155, 162, 196, 341, 351, 416, 422, 457, 480], "kwarg": [81, 211, 237, 341, 472, 499], "date_chunk": [82, 342], "omicron": [82, 342], "covid": [82, 342], "world": [82, 86, 87, 88, 108, 113, 114, 171, 173, 174, 175, 177, 190, 235, 257, 342, 346, 347, 348, 368, 373, 374, 432, 434, 435, 436, 438, 450, 496, 519, 524], "health": [82, 342], "organ": [82, 125, 170, 210, 319, 342, 386, 431, 471], "nov": [82, 131, 132, 255, 342, 391, 393, 517], "26": [82, 138, 208, 210, 227, 241, 250, 257, 342, 399, 469, 471, 488, 503, 512, 519], "2021": [82, 131, 132, 342, 391, 393], "118": [82, 212, 342, 473], "121": [82, 342], "01": [82, 131, 132, 133, 342, 391, 393, 394], "dependencytreebank": [83, 84, 343], "numberofiter": [83, 84, 85, 343, 345], "setconllu": [83, 84, 85, 343, 345], "setdependencytreebank": [83, 84, 343], "setnumberofiter": [83, 84, 85, 343, 345], "conll2009": [83, 85, 345], "setconll2009": [83, 85, 345], "conllformat": [83, 85, 345], "traindependencypip": [83, 85, 345], "trainopt": [83, 85, 345], "trainparamet": [83, 85, 345], "dependencypars": [84, 85, 123, 343, 345, 383], "unlabel": [84, 93, 94, 95, 163, 166, 179, 343, 352, 353, 354, 423, 426, 440], "grammat": [84, 85, 343, 345], "inform": [84, 85, 104, 107, 117, 118, 125, 131, 138, 160, 161, 162, 163, 183, 200, 203, 209, 251, 256, 262, 343, 345, 364, 367, 377, 378, 386, 391, 399, 420, 421, 422, 423, 443, 460, 463, 470, 513, 518, 524, 525, 526, 527, 528, 534], "relationship": [84, 85, 115, 123, 343, 345, 375, 383], "tell": [84, 85, 125, 227, 343, 345, 386, 488], "verb": [84, 85, 254, 343, 345, 515], "particular": [84, 85, 125, 242, 343, 345, 386, 504, 528], "treebank": [84, 343], "penn": [84, 343], "converg": [84, 85, 152, 196, 343, 345, 413, 457], "better": [84, 85, 91, 98, 102, 107, 120, 125, 139, 152, 154, 155, 158, 163, 165, 167, 196, 343, 345, 350, 357, 361, 367, 380, 386, 400, 413, 415, 416, 419, 423, 425, 428, 457], "postagg": [84, 85, 123, 139, 152, 343, 345, 383, 400, 413], "dependency_treebank": [84, 343], "emptydataset": [84, 85, 343, 345], "tree": [84, 123, 343, 383], "bank": [84, 343], "dep": [84, 343], "dependency_conllu": [84, 123, 343, 383], "typeddependencyparsermdoel": [84, 343], "union": [84, 85, 343, 345], "turner": [84, 85, 343, 345], "newal": [84, 85, 343, 345], "sai": [84, 85, 125, 193, 343, 345, 386, 454], "disappoint": [84, 85, 343, 345], "talk": [84, 85, 146, 343, 345, 407], "stricken": [84, 85, 343, 345], "firm": [84, 85, 343, 345], "feder": [84, 85, 343, 345], "mogul": [84, 85, 343, 345], "typeddependencypars": [85, 123, 345, 383], "beforehand": [85, 345], "2009": [85, 345], "dependency_typ": [85, 123, 345, 383], "train_smal": [85, 345], "txt": [85, 86, 88, 100, 116, 117, 128, 130, 133, 134, 152, 155, 157, 183, 184, 185, 190, 193, 237, 244, 251, 255, 256, 345, 346, 348, 359, 376, 377, 389, 390, 394, 395, 413, 416, 418, 443, 445, 446, 450, 454, 499, 513, 517, 518, 534], "typdep": [85, 345], "dependency_typed_conllu": [85, 123, 345, 383], "amod": [85, 345], "flat": [85, 123, 204, 345, 383, 464], "nsubj": [85, 123, 204, 254, 345, 383, 464, 515], "parataxi": [85, 345], "pipe": 85, "roughli": [86, 346], "subtext": [86, 346], "perfect": [86, 88, 346, 348], "observ": [86, 88, 115, 346, 348, 375], "seen": [86, 88, 163, 346, 348, 423], "addition": [86, 88, 120, 140, 152, 171, 177, 200, 209, 241, 346, 348, 380, 401, 413, 432, 438, 460, 470, 503], "trim": [86, 88, 210, 346, 348, 471], "individu": [86, 88, 125, 183, 238, 346, 348, 349, 386, 443, 500], "documentcharactertextsplittertest": [86, 346], "decreas": [86, 146, 181, 346, 407, 441], "prioriti": [86, 184, 193, 250, 346, 445, 454, 512], "textdf": [86, 88, 102, 346, 348, 361], "sherlockholm": [86, 88, 100, 116, 183, 346, 348, 359, 376, 443, 534], "wholetext": [86, 88, 346, 348], "textsplitt": [86, 88, 346, 348], "20000": [86, 346], "80": [86, 88, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 133, 201, 213, 346, 348, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 394, 461, 474], "project": [86, 88, 125, 160, 170, 173, 178, 181, 235, 262, 319, 346, 348, 386, 420, 431, 434, 439, 441, 496, 525], "gutenberg": [86, 88, 346, 348], "adventur": [86, 88, 346, 348], "sherlock": [86, 88, 183, 346, 348, 443], "holm": [86, 88, 183, 346, 348, 443], "arthur": [86, 88, 346, 348], "conan": [86, 88, 346, 348], "doyl": [86, 88, 346, 348], "19994": [86, 346], "And": [86, 346], "mademoisel": [86, 346], "ask": [86, 164, 251, 346, 424, 513], "brioni": [86, 346], "lodg": [86, 346], "serpentin": [86, 346], "aven": [86, 346], "19798": [86, 346], "39395": [86, 346], "19597": [86, 346], "did": [86, 125, 171, 177, 346, 386, 432, 438], "woman": [86, 346], "think": [86, 219, 346, 479], "39371": [86, 346], "59242": [86, 346], "19871": [86, 346], "But": [86, 88, 95, 101, 109, 346, 348, 354, 360, 369], "said": [86, 88, 346, 348], "million": [86, 109, 125, 142, 166, 346, 369, 386, 403, 426], "red": [86, 162, 346, 422], "men": [86, 346], "nwould": [86, 346], "59166": [86, 346], "77833": [86, 346], "18667": [86, 346], "friend": [86, 346], "enthusiast": [86, 346], "musician": [86, 346], "being": [86, 99, 106, 140, 146, 150, 163, 167, 170, 175, 179, 181, 319, 346, 358, 366, 401, 407, 410, 423, 428, 431, 436, 440, 441], "himself": [86, 346], "nveri": [86, 346], "capab": [86, 346], "77835": [86, 346], "97769": [86, 346], "19934": [86, 346], "yet": [86, 242, 346, 504], "convinc": [86, 346], "ncome": [86, 346], "li": [86, 175, 346, 436], "97771": [86, 346], "117248": [86, 346], "19477": [86, 346], "she": [86, 191, 346, 452], "had": [86, 125, 146, 346, 386, 407], "slate": [86, 346], "colour": [86, 346], "brim": [86, 346], "straw": [86, 346], "hat": [86, 346], "nfeather": [86, 346], "117250": [86, 346], "137242": [86, 346], "19992": [86, 346], "That": [86, 125, 191, 235, 346, 386, 452, 496, 524, 529], "littl": [86, 155, 346, 416, 533], "paradox": [86, 346], "profoundli": [86, 346], "singulari": [86, 346], "137244": [86, 346], "157171": [86, 346], "19927": [86, 346], "raw": [87, 162, 166, 191, 193, 196, 207, 237, 238, 239, 347, 422, 426, 452, 454, 457, 467, 499, 500, 527, 529], "scrape": [87, 347], "page": [87, 166, 173, 237, 238, 239, 241, 246, 262, 347, 426, 434, 499, 500, 503, 508, 523, 531, 533], "xml": [87, 244, 251, 347, 513], "dirti": [87, 144, 347, 405], "want": [87, 88, 122, 142, 242, 347, 348, 381, 403, 504, 529], "pretty_al": [87, 347], "normalizeddocu": [87, 347], "div": [87, 347], "theworldsgreatest": [87, 347], "right": [87, 93, 94, 163, 196, 210, 347, 352, 353, 423, 457, 471], "hide": [87, 347], "toptext": [87, 347], "style": [87, 127, 179, 347, 388, 440], "font": [87, 237, 238, 239, 347, 499, 500], "sego": [87, 347], "ui": [87, 347], "arial": [87, 347], "san": [87, 125, 347, 386], "serif": [87, 347], "largest": [87, 125, 166, 347, 386, 426], "develop": [87, 125, 167, 168, 170, 172, 173, 174, 176, 177, 178, 228, 319, 347, 386, 428, 429, 431, 433, 434, 435, 437, 438, 439, 493], "site": [87, 125, 165, 347, 386, 425], "h1": [87, 347], "300": [87, 347], "160": [87, 347], "lorem": [87, 130, 134, 347, 390, 395], "ipsum": [87, 130, 134, 347, 390, 395], "typeset": [87, 347], "been": [87, 96, 166, 167, 168, 174, 194, 213, 242, 347, 355, 426, 428, 429, 435, 455, 474, 504], "1500": [87, 347], "unknown": [87, 88, 127, 347, 348, 388], "printer": [87, 347], "took": [87, 172, 347, 433], "gallei": [87, 347], "scrambl": [87, 347], "specimen": [87, 347], "surviv": [87, 347], "five": [87, 142, 162, 347, 403, 422], "centuri": [87, 171, 196, 347, 432, 457], "leap": [87, 347], "electron": [87, 347], "essenti": [87, 166, 173, 347, 426, 434], "unchang": [87, 347], "popularis": [87, 347], "1960": [87, 347], "letraset": [87, 347], "sheet": [87, 262, 347], "passag": [87, 95, 101, 109, 161, 347, 354, 360, 369, 421], "recent": [87, 93, 94, 98, 110, 111, 125, 146, 163, 347, 352, 353, 357, 370, 371, 386, 407, 423], "publish": [87, 110, 111, 347, 370, 371], "softwar": [87, 178, 347, 439], "aldu": [87, 347], "pagemak": [87, 347], "predefin": [87, 122, 128, 130, 133, 134, 157, 347, 381, 389, 390, 394, 395, 418], "light_clean": [87, 347], "document_clean": [87, 347], "html_clean": [87, 347], "full_auto": [87, 347], "preset": [87, 122, 347], "clean_bullet": [87, 347], "clean_dash": [87, 347], "social_clean": [87, 347], "measur": [88, 99, 110, 111, 163, 175, 235, 348, 358, 370, 371, 423, 436, 496], "futur": [88, 155, 163, 179, 348, 416, 423, 440], "techniqu": [88, 91, 98, 163, 166, 168, 172, 177, 179, 181, 348, 350, 357, 423, 426, 429, 433, 438, 440, 441], "documenttokensplittertest": [88, 348], "3018": [88, 348], "crime": [88, 348], "occupi": [88, 348], "nimmens": [88, 348], "faculti": [88, 348], "extraordinari": [88, 348], "power": [88, 93, 94, 163, 173, 179, 251, 348, 352, 353, 423, 434, 440, 513], "2950": [88, 348], "5707": [88, 348], "2757": [88, 348], "chang": [88, 104, 222, 231, 348, 349, 364, 483, 492], "cloth": [88, 348], "imagin": [88, 348], "ndeduc": [88, 348], "As": [88, 91, 93, 94, 95, 99, 101, 109, 125, 146, 173, 348, 350, 352, 353, 354, 358, 360, 369, 386, 407, 434], "5659": [88, 348], "8483": [88, 348], "2824": [88, 348], "quarter": [88, 348], "receiv": [88, 161, 255, 348, 421, 517, 534], "Be": [88, 348], "chamber": [88, 348], "nnot": [88, 348], "8427": [88, 348], "11241": [88, 348], "2814": [88, 348], "piti": [88, 348], "nto": [88, 348], "miss": [88, 131, 132, 141, 199, 348, 391, 393, 402, 459], "client": [88, 348], "never": [88, 141, 158, 348, 402, 419, 528], "mind": [88, 172, 348, 433], "him": [88, 132, 348, 393], "11188": [88, 348], "13970": [88, 348], "2782": [88, 348], "person": [88, 122, 254, 348, 381, 515], "me": [88, 132, 168, 348, 393, 429], "wish": [88, 348], "agent": [88, 177, 348, 438], "conf": [88, 348], "13918": [88, 348], "16898": [88, 348], "2980": [88, 348], "letter": [88, 144, 166, 167, 183, 255, 348, 405, 426, 428, 443, 517, 534], "secret": [88, 348], "marriag": [88, 348], "16836": [88, 348], "19744": [88, 348], "2908": [88, 348], "seven": [88, 348], "hundr": [88, 118, 119, 348, 378, 379], "nnote": [88, 348], "nholm": [88, 348], "scribbl": [88, 348], "receipt": [88, 348], "shee": [88, 348], "19683": [88, 348], "22551": [88, 348], "2868": [88, 348], "close": [90, 92, 159, 160, 161, 162, 165, 167, 168, 173, 174, 351, 420, 421, 422, 425, 428, 429, 434, 435], "defragmentationthreshold": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "flashattent": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "getmetadata": [90, 92, 214, 222, 351, 483], "gpusplitmod": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "grpattnn": [90, 92, 160, 161, 162, 351, 420, 421, 422], "grpattnw": [90, 92, 160, 161, 162, 351, 420, 421, 422], "maingpu": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "nbatch": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "nchunk": [90, 92, 160, 162, 351, 420, 422], "nctx": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "ngpulay": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "nsequenc": [90, 92, 160, 162, 351, 420, 422], "nthread": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "nthreadsbatch": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "nubatch": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "nokvoffload": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "numastrategi": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "poolingtyp": [90, 92, 160, 161, 214, 222, 351, 420, 421, 483], "ropefreqbas": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "ropefreqscal": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "ropescalingtyp": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "setdefragmentationthreshold": [90, 92, 214, 222, 351, 483], "setflashattent": [90, 92, 214, 222, 351, 483], "setgpusplitmod": [90, 92, 214, 222, 351, 483], "setgrpattnn": [90, 92, 351], "setgrpattnw": [90, 92, 351], "setmaingpu": [90, 92, 214, 222, 351, 483], "setnbatch": [90, 92, 214, 222, 351, 483], "setnchunk": [90, 92, 351], "setnctx": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "setngpulay": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "setnparallel": [90, 92, 214, 222, 351, 483], "setnsequ": [90, 92, 351], "setnthread": [90, 92, 214, 222, 351, 483], "setnthreadsbatch": [90, 92, 214, 222, 351, 483], "setnubatch": [90, 92, 214, 222, 351, 483], "setnokvoffload": [90, 92, 214, 222, 351, 483], "setnumastrategi": [90, 92, 214, 222, 351, 483], "setpoolingtyp": [90, 92, 214, 222, 351, 483], "setropefreqbas": [90, 92, 214, 222, 351, 483], "setropefreqscal": [90, 92, 214, 222, 351, 483], "setropescalingtyp": [90, 92, 214, 222, 351, 483], "settensorsplit": [90, 92, 351], "setusemlock": [90, 92, 214, 222, 351, 483], "setusemmap": [90, 92, 214, 222, 351, 483], "setyarnattnfactor": [90, 92, 214, 222, 351, 483], "setyarnbetafast": [90, 92, 214, 222, 351, 483], "setyarnbetaslow": [90, 92, 214, 222, 351, 483], "setyarnextfactor": [90, 92, 214, 222, 351, 483], "setyarnorigctx": [90, 92, 214, 222, 351, 483], "tensorsplit": [90, 92, 160, 161, 162, 351, 420, 421, 422], "usemlock": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "usemmap": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "yarnattnfactor": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "yarnbetafast": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "yarnbetaslow": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "yarnextfactor": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "yarnorigctx": [90, 92, 160, 161, 162, 214, 222, 351, 420, 421, 422, 483], "islong": [90, 94, 353], "setislong": [90, 94, 353], "poolingstrategi": [90, 97, 108, 112, 113, 114, 356, 368, 372, 373, 374], "setpoolingstrategi": [90, 97, 108, 112, 113, 114, 356, 368, 372, 373, 374], "setskipoov": [90, 97, 356], "skipoov": [90, 97, 356], "maxit": [90, 100, 116, 359, 376], "mincount": [90, 100, 116, 182, 183, 359, 376, 443], "setmaxit": [90, 100, 116, 359, 376], "setmincount": [90, 100, 116, 182, 183, 359, 376, 443], "setse": [90, 100, 116, 214, 222, 359, 376, 483], "setsteps": [90, 100, 116, 359, 376], "setvectors": [90, 100, 116, 359, 376], "setwindows": [90, 100, 116, 124, 125, 359, 376, 386], "stepsiz": [90, 100, 116, 359, 376], "vectors": [90, 100, 116, 359, 376], "windows": [90, 100, 116, 124, 125, 359, 376, 386], "getvector": [90, 100, 116, 359, 376], "poolinglay": [90, 103, 362], "setpoolinglay": [90, 103, 362], "setinstruct": [90, 104, 364], "loadsp": [90, 115, 375], "setloadsp": [90, 115, 375], "readcaches": [90, 117, 377], "setreadcaches": [90, 117, 377], "setwritebuffers": [90, 117, 377], "writebuffers": [90, 117, 377], "databas": [90, 117, 121, 122, 129, 130, 225, 377, 381, 390, 486], "loadstorag": [90, 117, 121, 122, 129, 130, 214, 225, 377, 381, 390, 486], "overallcoverag": [90, 117, 377], "withcoveragecolumn": [90, 117, 377], "lite": [91, 350], "toyota": [91, 350], "technolog": [91, 350], "institut": [91, 350], "chicago": [91, 350], "offici": [91, 125, 138, 139, 140, 208, 227, 241, 350, 386, 399, 400, 401, 469, 488, 503, 525], "tf": [91, 115, 350, 375], "wrapper": [91, 350, 492], "port": [91, 350], "albert_base_uncas": [91, 350], "albert_bas": [91, 350], "768": [91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 350, 352, 353, 354, 355, 357, 358, 360, 364, 365, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380], "emb": [91, 109, 113, 350, 369, 373], "dim": [91, 92, 160, 161, 162, 222, 350, 351, 420, 421, 422, 483], "12m": [91, 350], "albert_large_uncas": [91, 350], "albert_larg": [91, 350], "1024": [91, 103, 105, 120, 350, 362, 365, 380], "24": [91, 120, 130, 134, 138, 183, 208, 227, 241, 350, 380, 390, 395, 399, 443, 469, 488, 503, 527], "18m": [91, 350], "albert_xlarge_uncas": [91, 350], "albert_xlarg": [91, 350], "2048": [91, 350], "60m": [91, 350], "albert_xxlarge_uncas": [91, 350], "albert_xxlarg": [91, 350], "235m": [91, 350], "sentencepiec": [91, 98, 115, 350, 357, 375], "everi": [91, 93, 94, 95, 96, 98, 99, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 118, 119, 120, 140, 158, 170, 183, 200, 209, 211, 222, 319, 350, 352, 353, 354, 355, 357, 358, 360, 364, 365, 366, 367, 368, 369, 370, 371, 373, 374, 378, 379, 380, 401, 419, 431, 443, 460, 470, 472, 529], "dimens": [91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 141, 214, 222, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 402, 483], "repeat": [91, 146, 160, 161, 162, 222, 350, 407, 420, 421, 422, 483], "footprint": [91, 350], "cost": [91, 171, 183, 184, 350, 432, 443, 445], "FOR": [91, 350], "tfhub": [91, 103, 115, 350, 362, 375], "q": [91, 350], "increas": [91, 92, 95, 101, 109, 117, 125, 146, 160, 161, 162, 163, 166, 169, 181, 184, 185, 222, 350, 351, 354, 360, 369, 377, 386, 407, 420, 421, 422, 423, 426, 430, 441, 445, 483], "downstream": [91, 96, 98, 103, 104, 105, 106, 120, 163, 166, 177, 179, 350, 355, 357, 362, 364, 365, 366, 380, 423, 426, 438, 440], "some": [91, 92, 94, 118, 125, 140, 155, 160, 161, 162, 165, 166, 168, 175, 210, 211, 222, 235, 257, 350, 351, 353, 378, 386, 401, 416, 420, 421, 422, 425, 426, 429, 436, 471, 472, 483, 496, 519, 527, 528, 532, 533], "point": [91, 93, 94, 154, 155, 200, 209, 251, 253, 350, 352, 353, 415, 416, 460, 470, 513, 514], "harder": [91, 350], "tpu": [91, 350], "consumpt": [91, 115, 117, 350, 375, 377], "speed": [91, 139, 165, 170, 171, 319, 350, 400, 425, 431, 432], "devlin": [91, 110, 111, 350, 370, 371], "et": [91, 110, 111, 127, 350, 370, 371, 388], "al": [91, 110, 111, 350, 370, 371], "2019": [91, 96, 98, 110, 111, 118, 119, 163, 350, 355, 357, 370, 371, 378, 379, 423], "comprehens": [91, 95, 114, 163, 165, 166, 168, 171, 177, 178, 350, 354, 374, 423, 425, 426, 429, 432, 438, 439], "empir": [91, 93, 94, 118, 119, 120, 350, 352, 353, 378, 379, 380], "evid": [91, 350], "focus": [91, 113, 125, 146, 162, 177, 178, 350, 373, 386, 407, 422, 438, 439], "inter": [91, 350], "coher": [91, 164, 166, 238, 350, 424, 426], "establish": [91, 350], "glue": [91, 93, 94, 99, 106, 107, 110, 111, 118, 119, 163, 350, 352, 353, 358, 366, 367, 370, 371, 378, 379, 423], "race": [91, 98, 110, 111, 350, 357, 370, 371], "finished_embed": [91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380], "setoutputasvector": [91, 93, 94, 95, 96, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 197, 201, 350, 352, 353, 354, 355, 357, 358, 359, 360, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 461], "setcleanannot": [91, 98, 99, 103, 105, 110, 112, 115, 117, 118, 120, 197, 201, 202, 204, 350, 357, 358, 362, 365, 370, 372, 375, 377, 378, 380, 461, 462, 464], "1342473030090332": [91, 98, 350, 357], "3855540752410889": [91, 98, 350, 357], "9818322062492371": [91, 98, 350, 357], "784737348556518": [91, 98, 350, 357], "847029983997345": [91, 98, 350, 357], "047153353691101": [91, 98, 350, 357], "1520637571811676": [91, 98, 350, 357], "6245765686035156": [91, 98, 350, 357], "009860038757324219": [91, 98, 350, 357], "13450059294700623": [91, 98, 350, 357], "707749128341675": [91, 98, 350, 357], "2916892766952": [91, 98, 350, 357], "04192575812339783": [91, 98, 350, 357], "5764210224151611": [91, 98, 350, 357], "3196685314178467": [91, 98, 350, 357], "527840495109": [91, 98, 350, 357], "15583214163780212": [91, 98, 350, 357], "1614152491092682": [91, 98, 350, 357], "28423872590065": [91, 98, 350, 357], "135491415858268": [91, 98, 350, 357], "cpp": [92, 160, 161, 162, 207, 210, 351, 420, 421, 422, 467, 471], "cl": [92, 95, 108, 113, 114, 222, 351, 354, 368, 373, 374, 483], "qwen3_embedding_0": [92, 351], "6b_q8_0_gguf": [92, 351], "autoggufembeddingstest": [92, 351], "notebook": [92, 160, 161, 162, 178, 181, 210, 235, 261, 351, 420, 421, 422, 439, 441, 471, 496, 524], "thread": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483, 496], "logic": [92, 160, 161, 162, 174, 175, 222, 351, 420, 421, 422, 435, 436, 483], "bla": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "physic": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "maxim": [92, 120, 160, 162, 183, 351, 380, 420, 422, 443], "store": [92, 123, 160, 161, 162, 212, 222, 238, 239, 241, 246, 257, 351, 383, 409, 410, 420, 421, 422, 473, 477, 483, 494, 500, 501, 503, 508, 519, 525], "vram": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "across": [92, 103, 160, 161, 162, 166, 167, 168, 171, 177, 181, 222, 351, 362, 420, 421, 422, 426, 428, 429, 432, 438, 441, 483], "main": [92, 122, 160, 161, 162, 181, 193, 222, 262, 351, 381, 420, 421, 422, 441, 454, 483, 527, 531, 534], "scratch": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "tensor": [92, 103, 160, 161, 162, 222, 351, 362, 420, 421, 422, 483], "distribut": [92, 100, 116, 160, 161, 162, 222, 351, 359, 376, 420, 421, 422, 483], "rope": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "frequenc": [92, 146, 158, 160, 161, 162, 183, 184, 185, 196, 222, 351, 407, 419, 420, 421, 422, 443, 445, 446, 457, 483], "ntk": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "awar": [92, 160, 161, 162, 183, 222, 351, 420, 421, 422, 443, 483], "expand": [92, 160, 161, 162, 171, 222, 351, 420, 421, 422, 432, 483], "yarn": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "extrapol": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "mix": [92, 103, 113, 160, 161, 162, 222, 320, 351, 362, 373, 420, 421, 422, 441, 476, 483, 495], "sqrt": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "magnitud": [92, 104, 160, 161, 162, 184, 185, 222, 351, 364, 420, 421, 422, 445, 446, 483], "low": [92, 95, 118, 119, 160, 161, 162, 172, 178, 183, 222, 351, 354, 378, 379, 420, 421, 422, 433, 439, 443, 483], "correct": [92, 118, 160, 161, 162, 183, 184, 185, 196, 222, 351, 378, 420, 421, 422, 443, 445, 446, 457, 483], "beta": [92, 160, 161, 162, 177, 222, 351, 420, 421, 422, 438, 483], "alpha": [92, 160, 161, 162, 165, 183, 222, 351, 420, 421, 422, 425, 443, 483], "kv": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "defragment": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "numa": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "unless": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "unspecifi": [92, 160, 161, 222, 351, 420, 421, 483], "flash": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "pageout": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "mlock": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "ram": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "swap": [92, 160, 161, 162, 184, 222, 351, 420, 421, 422, 445, 483], "disabl": [92, 158, 160, 161, 162, 200, 209, 222, 238, 246, 351, 420, 421, 422, 460, 470, 483, 508], "offload": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "sure": [92, 158, 160, 161, 162, 261, 351, 419, 420, 421, 422], "adjust": [92, 160, 161, 162, 222, 351, 420, 421, 422, 483], "accord": [92, 125, 160, 161, 162, 167, 183, 253, 351, 386, 420, 421, 422, 428, 443, 514], "hardwar": [92, 160, 161, 162, 351, 420, 421, 422], "avoid": [92, 107, 157, 160, 161, 162, 222, 351, 367, 418, 420, 421, 422, 483], "error": [92, 160, 161, 162, 183, 349, 351, 420, 421, 422, 443], "99": [92, 160, 162, 351, 420, 422], "moon": [92, 108, 113, 114, 351, 368, 373, 374], "jupit": [92, 351], "77": [92, 351], "79": [92, 131, 132, 351, 391, 393], "confirm": [92, 351], "satellit": [92, 351], "made": [92, 95, 98, 115, 351, 354, 357, 375, 524], "ones": [92, 162, 351, 422], "034486726": [92, 351], "07770534": [92, 351], "15982522": [92, 351], "017873349": [92, 351], "013914132": [92, 351], "0365736": [92, 351], "backend": [92, 93, 94, 101, 106, 110, 118, 160, 161, 162, 210, 351, 352, 353, 360, 366, 370, 378, 420, 421, 422, 471], "free": [92, 160, 161, 162, 170, 222, 319, 351, 420, 421, 422, 431, 483], "reload": [92, 160, 161, 162, 351, 420, 421, 422], "again": [92, 158, 160, 161, 162, 191, 351, 419, 420, 421, 422, 452], "nparallel": [92, 222, 351, 483], "alia": [92, 160, 161, 162, 222, 227, 351, 420, 421, 422, 483, 488], "small_bert_l2_768": [93, 352], "unlik": [93, 94, 104, 118, 125, 173, 191, 352, 353, 364, 378, 386, 434, 452], "jointli": [93, 94, 352, 353], "left": [93, 94, 162, 163, 172, 196, 217, 352, 353, 422, 423, 433, 457], "just": [93, 94, 99, 110, 135, 140, 160, 238, 352, 353, 358, 370, 396, 401, 420], "modif": [93, 94, 352, 353], "conceptu": [93, 94, 352, 353], "obtain": [93, 94, 96, 101, 115, 141, 172, 352, 353, 355, 360, 375, 402, 433], "eleven": [93, 94, 352, 353], "push": [93, 94, 259, 352, 353, 521], "absolut": [93, 94, 352, 353], "multinli": [93, 94, 352, 353], "86": [93, 94, 98, 352, 353, 357], "v1": [93, 94, 109, 352, 353, 369], "f1": [93, 94, 118, 119, 140, 166, 352, 353, 378, 379, 401, 426], "93": [93, 94, 352, 353], "83": [93, 94, 98, 255, 256, 352, 353, 357, 517, 518, 534], "small_bert_l2_128": [93, 352], "3497989177703857": [93, 104, 352, 364], "480538547039032": [93, 104, 352, 364], "3238905668258667": [93, 104, 352, 364], "612930893898010": [93, 104, 352, 364], "1357314586639404": [93, 352], "32984697818756104": [93, 352], "6032363176345825": [93, 352], "6791689395904": [93, 352], "8244884014129639": [93, 352], "27088963985443115": [93, 352], "059438943862915": [93, 352], "9817547798156": [93, 352], "1648050546646118": [93, 352], "4725411534309387": [93, 352], "5938255786895752": [93, 352], "5780693292617": [93, 352], "9125322699546814": [93, 352], "4563939869403839": [93, 352], "3975459933280945": [93, 352], "81611204147338": [93, 352], "sentence_bert_embed": [94, 353], "sent_small_bert_l2_768": [94, 353], "long": [94, 105, 109, 113, 114, 120, 162, 171, 175, 222, 246, 349, 353, 365, 369, 373, 374, 380, 422, 432, 436, 483, 508], "sent_small_bert_l2_128": [94, 353], "orang": [94, 111, 119, 353, 371, 379], "8951074481010437": [94, 111, 119, 353, 371, 379], "13753940165042877": [94, 111, 119, 353, 371, 379], "3108254075050354": [94, 111, 119, 353, 371, 379], "65693199634552": [94, 111, 119, 353, 371, 379], "6180210709571838": [94, 111, 119, 353, 371, 379], "12179657071828842": [94, 111, 119, 353, 371, 379], "191165953874588": [94, 111, 119, 353, 371, 379], "4497021436691": [94, 111, 119, 353, 371, 379], "822715163230896": [94, 111, 119, 353, 371, 379], "7568016648292542": [94, 111, 119, 353, 371, 379], "1165061742067337": [94, 111, 119, 353, 371, 379], "59048593044281": [94, 111, 119, 353, 371, 379], "bge": [95, 354], "baai": [95, 354], "dimension": [95, 115, 141, 354, 375, 402], "retriev": [95, 101, 104, 106, 113, 117, 128, 181, 184, 185, 186, 235, 238, 241, 261, 354, 360, 364, 366, 373, 377, 389, 441, 445, 446, 447, 496, 500, 503, 524, 528, 529], "bge_bas": [95, 354], "c": [95, 96, 100, 116, 125, 170, 196, 261, 319, 354, 355, 359, 376, 386, 431, 457], "pack": [95, 354], "chines": [95, 165, 196, 354, 425, 457], "github": [95, 98, 104, 106, 109, 110, 114, 170, 173, 177, 178, 241, 262, 319, 354, 357, 364, 366, 369, 370, 374, 431, 434, 438, 439, 503], "significantli": [95, 98, 103, 110, 111, 118, 119, 125, 175, 177, 178, 354, 357, 362, 370, 371, 378, 379, 386, 436, 438, 439], "critic": [95, 172, 354, 433], "mteb": [95, 101, 354, 360], "cover": [95, 155, 163, 169, 172, 179, 196, 354, 416, 423, 430, 433, 440, 457, 480], "mtp": [95, 354], "massiv": [95, 169, 354, 430], "curat": [95, 101, 109, 113, 354, 360, 369, 373], "corpora": [95, 107, 125, 130, 354, 367, 386, 390], "tem": [95, 354], "stateof": [95, 354], "meanwhil": [95, 354], "publicli": [95, 98, 118, 119, 175, 354, 357, 378, 379, 436], "flagopen": [95, 354], "flagembed": [95, 354], "useclstoken": [95, 214, 222, 354, 483], "protein": [95, 101, 109, 354, 360, 369], "femal": [95, 101, 109, 354, 360, 369], "eat": [95, 101, 109, 161, 203, 354, 360, 369, 421, 463], "guidelin": [95, 101, 109, 354, 360, 369], "cdc": [95, 101, 109, 354, 360, 369], "women": [95, 101, 109, 354, 360, 369], "70": [95, 101, 104, 109, 167, 168, 174, 354, 360, 364, 369, 428, 429, 435], "46": [95, 101, 109, 257, 354, 360, 369, 519], "dai": [95, 101, 109, 131, 132, 183, 354, 360, 369, 391, 393, 443], "chart": [95, 101, 109, 235, 354, 360, 369, 496, 524], "ll": [95, 101, 109, 196, 354, 360, 369, 457], "marathon": [95, 101, 109, 354, 360, 369], "below": [95, 101, 109, 123, 354, 360, 369, 383, 533], "0190285e": [95, 101, 109, 354, 360, 369], "005974853": [95, 101, 109, 354, 360, 369], "072875895": [95, 101, 109, 354, 360, 369], "007944068": [95, 101, 109, 354, 360, 369], "026059335": [95, 101, 109, 354, 360, 369], "0080": [95, 101, 109, 354, 360, 369], "050514214": [95, 101, 109, 354, 360, 369], "010061974": [95, 101, 109, 354, 360, 369], "04340176": [95, 101, 109, 354, 360, 369], "020937217": [95, 101, 109, 354, 360, 369], "05170225": [95, 101, 109, 354, 360, 369], "01157857": [95, 101, 109, 354, 360, 369], "bge_small_en_v1": [95, 354], "tasti": [96, 355], "french": [96, 125, 170, 187, 319, 355, 386, 431, 448], "loui": [96, 355], "martin": [96, 355], "muller": [96, 355], "pedro": [96, 355], "javier": [96, 355], "ortiz": [96, 355], "su\u00e1rez": [96, 355], "yoann": [96, 355], "dupont": [96, 355], "laurent": [96, 355], "romari": [96, 355], "\u00e9ric": [96, 355], "villemont": [96, 355], "la": [96, 146, 170, 319, 355, 407, 431], "clergeri": [96, 355], "djam\u00e9": [96, 355], "seddah": [96, 355], "beno\u00eet": [96, 355], "sagot": [96, 355], "facebook": [96, 98, 118, 119, 163, 355, 357, 378, 379, 423], "138gb": [96, 355], "camembert_bas": [96, 355], "camembertembeddingstestspec": [96, 355], "co": [96, 102, 125, 174, 175, 176, 355, 361, 386, 435, 436, 437], "now": [96, 141, 155, 208, 261, 355, 402, 416, 469, 529], "ubiquit": [96, 173, 355, 434], "despit": [96, 163, 175, 355, 423, 436], "concaten": [96, 196, 238, 355, 457, 500], "except": [96, 135, 140, 141, 189, 193, 238, 246, 250, 349, 355, 396, 401, 402, 454, 500, 508, 512], "investig": [96, 99, 115, 355, 358, 375], "feasibl": [96, 355], "monolingu": [96, 118, 119, 355, 378, 379], "crawl": [96, 163, 179, 355, 423, 440], "prefer": [96, 123, 175, 204, 355, 383, 436, 464], "wikipedia": [96, 127, 166, 237, 251, 355, 388, 426, 499, 513], "surprisingli": [96, 115, 355, 375], "4gb": [96, 355], "130": [96, 355], "gb": [96, 355], "reach": [96, 125, 166, 196, 355, 386, 426, 457], "four": [96, 155, 162, 194, 196, 355, 416, 422, 455, 457], "un": [96, 127, 355, 388], "08442357927560806": [96, 355], "12863239645957947": [96, 355], "03835778683423996": [96, 355], "200479581952": [96, 355], "048462312668561935": [96, 355], "12637358903884888": [96, 355], "27429091930389404": [96, 355], "07516729831": [96, 355], "02690504491329193": [96, 355], "12104076147079468": [96, 355], "012526623904705048": [96, 355], "031543646007": [96, 355], "05877285450696945": [96, 355], "08773420006036758": [96, 355], "06381352990865707": [96, 355], "122621834278": [96, 355], "aggreg": [97, 112, 181, 356, 372, 441], "sum": [97, 103, 112, 222, 356, 362, 372, 483], "discard": [97, 143, 356, 404], "oov": [97, 356], "55661": [97, 356], "42829502": [97, 356], "86661": [97, 356], "409785": [97, 356], "06316501": [97, 356], "120775": [97, 356], "0732005": [97, 356], "40674996": [97, 356], "22938299": [97, 356], "50597": [97, 356], "288195": [97, 356], "555655": [97, 356], "465145": [97, 356], "140118": [97, 356], "17417": [97, 356], "095253006": [97, 356], "0530925": [97, 356], "218465": [97, 356], "714395": [97, 356], "79860497": [97, 356], "0129999": [97, 356], "139705": [97, 356], "177955": [97, 356], "1887775": [97, 356], "45545": [97, 356], "20030999": [97, 356], "461557": [97, 356], "07891501": [97, 356], "disentangl": [98, 357], "pengcheng": [98, 357], "xiaodong": [98, 357], "jianfeng": [98, 357], "gao": [98, 357], "weizhu": [98, 357], "chen": [98, 110, 111, 357, 370, 371], "2018": [98, 110, 111, 357, 370, 371], "half": [98, 125, 357, 386], "deberta_v3_bas": [98, 357], "microsoft": [98, 101, 107, 109, 170, 174, 175, 176, 319, 357, 360, 367, 369, 431, 435, 436, 437], "www": [98, 237, 239, 251, 357, 499, 501, 513], "blog": [98, 177, 357, 438], "superglu": [98, 357], "progress": [98, 155, 192, 357, 416, 453], "mechan": [98, 105, 357, 365], "weight": [98, 103, 109, 125, 139, 142, 164, 173, 178, 183, 357, 362, 369, 386, 400, 403, 424, 434, 439, 443], "among": [98, 107, 165, 174, 175, 357, 367, 425, 435, 436], "matric": [98, 357], "second": [98, 103, 133, 154, 187, 192, 210, 238, 357, 362, 394, 415, 448, 453, 471, 500, 528], "mnli": [98, 357], "90": [98, 357], "91": [98, 357], "88": [98, 357], "fast": [99, 158, 167, 170, 208, 319, 358, 419, 428, 431, 469, 532], "cheap": [99, 358], "distil": [99, 106, 358, 366], "40": [99, 101, 142, 160, 162, 164, 167, 168, 170, 172, 176, 319, 358, 360, 403, 420, 422, 424, 428, 429, 431, 433, 437], "uncas": [99, 113, 358, 373], "run": [99, 125, 181, 235, 242, 261, 349, 358, 386, 441, 496, 504, 525, 533], "95": [99, 162, 251, 358, 422, 513], "distilbert_base_cas": [99, 358], "doesn": [99, 110, 358, 370], "token_type_id": [99, 110, 358, 370], "indic": [99, 110, 161, 192, 196, 358, 370, 421, 453, 457], "belong": [99, 110, 175, 358, 370, 436], "sep_token": [99, 110, 358, 370], "sep": [99, 358], "position_id": [99, 358], "ad": [99, 103, 146, 161, 183, 203, 210, 238, 239, 251, 358, 362, 407, 421, 443, 463, 471, 513], "though": [99, 125, 358, 386], "let": [99, 146, 191, 261, 358, 407, 452, 528], "know": [99, 170, 211, 319, 358, 431, 472], "cheaper": [99, 358], "lighter": [99, 358], "preval": [99, 358], "constrain": [99, 160, 161, 162, 222, 358, 420, 421, 422, 483], "budget": [99, 358], "counterpart": [99, 358], "leverag": [99, 107, 113, 171, 235, 358, 367, 373, 432, 496, 524], "knowledg": [99, 125, 173, 174, 175, 177, 204, 210, 261, 358, 386, 434, 435, 436, 438, 464, 471], "reduc": [99, 107, 171, 174, 184, 185, 213, 358, 367, 432, 435, 445, 446, 474], "retain": [99, 358], "97": [99, 131, 132, 196, 358, 391, 393, 457], "tripl": [99, 123, 358, 383], "cosin": [99, 114, 358, 374], "distanc": [99, 162, 181, 183, 184, 185, 358, 422, 441, 443, 445, 446], "proof": [99, 358], "concept": [99, 358, 529], "experi": [99, 114, 120, 146, 163, 165, 171, 235, 358, 374, 380, 407, 423, 425, 432, 496, 525], "1127224713563919": [99, 358], "1982710212469101": [99, 358], "5360898375511169": [99, 358], "272536993026733": [99, 358], "35534414649009705": [99, 358], "13215228915214539": [99, 358], "40981462597846985": [99, 358], "14036104083061": [99, 358], "328085333108902": [99, 358], "06269335001707077": [99, 358], "017595693469047546": [99, 358], "024373905733": [99, 358], "15617232024669647": [99, 358], "2967822253704071": [99, 358], "22324979305267334": [99, 358], "04568954557180": [99, 358], "45411425828933716": [99, 358], "01173491682857275": [99, 358], "190129816532135": [99, 358], "1178255230188369": [99, 358], "corpu": [100, 103, 116, 125, 128, 152, 163, 179, 182, 183, 185, 255, 359, 362, 376, 386, 389, 413, 423, 440, 443, 446, 517, 534], "algorithm": [100, 116, 125, 139, 158, 183, 184, 185, 186, 359, 376, 386, 400, 419, 443, 445, 446], "appear": [100, 116, 146, 162, 183, 359, 376, 407, 422, 443], "divid": [100, 116, 359, 376], "1000": [100, 116, 123, 139, 359, 376, 383, 400], "025": [100, 116, 158, 359, 376], "estim": [100, 116, 188, 205, 233, 238, 359, 376, 449, 465, 475, 485, 495, 528], "composition": [100, 116, 359, 376], "numiter": [100, 116, 359, 376], "equal": [100, 116, 359, 376], "doc2vec_gigaword_300": [100, 359], "06222493574023247": [100, 116, 359, 376], "011579325422644615": [100, 116, 359, 376], "009919632226228714": [100, 116, 359, 376], "109361454844": [100, 116, 359, 376], "doc2vec_wiki": [100, 359], "e5": [101, 102, 360, 361], "weakli": [101, 109, 360, 369], "tailor": [101, 104, 172, 360, 364, 433], "e5_smal": [101, 360], "unilm": [101, 109, 360, 369], "manner": [101, 125, 360, 386], "signal": [101, 103, 360, 362], "ccpair": [101, 360], "readili": [101, 360], "conduct": [101, 114, 360, 374], "extens": [101, 114, 171, 178, 231, 360, 374, 432, 439, 492], "56": [101, 255, 360, 517], "beir": [101, 360], "bm25": [101, 360], "baselin": [101, 115, 166, 360, 375, 426], "beat": [101, 360], "exist": [101, 103, 113, 114, 146, 165, 169, 183, 201, 204, 222, 235, 239, 247, 248, 259, 360, 362, 373, 374, 407, 425, 430, 443, 461, 464, 483, 496, 501, 509, 510, 521], "royokong": [102, 361], "bridg": [102, 361], "modal": [102, 361], "gap": [102, 172, 361, 433], "even": [102, 125, 131, 165, 168, 177, 179, 361, 386, 391, 425, 429, 438, 440], "exclus": [102, 146, 177, 361, 407, 438], "yield": [102, 361], "e5v": [102, 361], "e5v_int4": [102, 361], "nsummari": [102, 361], "imageprompt": [102, 361], "textprompt": [102, 361], "sent": [102, 125, 361, 386], "textdesc": [102, 361], "sit": [102, 130, 134, 162, 361, 390, 395, 422], "nullimagedf": [102, 361], "sparkcontext": [102, 361], "engin": [102, 170, 171, 190, 214, 222, 319, 361, 431, 432, 450, 483], "elmo": [103, 362], "billion": [103, 164, 166, 167, 168, 171, 174, 175, 178, 362, 424, 426, 428, 429, 432, 435, 436, 439], "lookup": [103, 117, 120, 130, 160, 161, 162, 184, 185, 225, 362, 377, 380, 390, 420, 421, 422, 445, 446, 486], "word_emb": [103, 362], "shape": [103, 362], "batch_siz": [103, 362], "max_length": [103, 362], "lstm_outputs1": [103, 362], "lstm": [103, 140, 362, 401], "lstm_outputs2": [103, 362], "trainabl": [103, 362], "contextu": [103, 163, 168, 172, 183, 362, 423, 429, 433, 443], "characterist": [103, 238, 362], "syntax": [103, 362], "vari": [103, 146, 177, 362, 407, 438], "linguist": [103, 196, 362, 457], "polysemi": [103, 362], "bilm": [103, 362], "six": [103, 184, 185, 362, 445, 446], "textual": [103, 104, 114, 171, 238, 362, 364, 374, 432, 500], "entail": [103, 362], "expos": [103, 362], "crucial": [103, 113, 114, 362, 373, 374], "semi": [103, 362], "662458181381226e": [103, 362], "2541114091873169": [103, 362], "6275503039360046": [103, 362], "5787073969841": [103, 362], "19154725968837738": [103, 362], "22998669743537903": [103, 362], "2894386649131775": [103, 362], "21524395048618": [103, 362], "10400570929050446": [103, 362], "12288510054349899": [103, 362], "07056470215320587": [103, 362], "246389418840": [103, 362], "49932169914245605": [103, 362], "12706467509269714": [103, 362], "30969417095184326": [103, 362], "2643227577209": [103, 362], "8871506452560425": [103, 362], "20039963722229004": [103, 362], "0601330995559692": [103, 362], "0348707810044": [103, 362], "instructor": [104, 364], "finetun": [104, 105, 120, 177, 364, 365, 380, 438], "financ": [104, 364], "sota": [104, 114, 120, 364, 374, 380], "divers": [104, 115, 163, 166, 168, 178, 179, 250, 364, 375, 423, 426, 429, 439, 440, 512, 525], "medicin": [104, 364], "instructor_bas": [104, 364], "summar": [104, 105, 125, 163, 164, 166, 170, 179, 222, 259, 319, 364, 365, 386, 423, 424, 426, 431, 440, 483], "embedd": [104, 364], "hkunlp": [104, 364], "explain": [104, 235, 364, 496, 524, 531, 533], "special": [104, 141, 161, 177, 183, 196, 364, 402, 421, 438, 443, 457, 490, 529], "330": [104, 364], "mixtur": [104, 172, 177, 364, 433, 438], "66": [104, 142, 364, 403], "unseen": [104, 364], "suggest": [104, 166, 364, 426], "mitig": [104, 114, 364, 374], "io": [104, 177, 364, 438], "dynam": [104, 160, 161, 162, 170, 222, 319, 364, 420, 421, 422, 431, 483], "scalar": [104, 364], "degre": [104, 364], "freedom": [104, 364], "horava": [104, 364], "lifshitz": [104, 364], "graviti": [104, 364], "iz": [105, 365], "beltagi": [105, 365], "matthew": [105, 365], "arman": [105, 365], "cohan": [105, 365], "checkpoint": [105, 173, 365, 434], "mlm": [105, 107, 365, 367], "096": [105, 365], "longformer_base_4096": [105, 365], "unabl": [105, 365], "quadrat": [105, 365], "linearli": [105, 365], "easi": [105, 250, 365, 512], "thousand": [105, 169, 172, 365, 430, 433], "drop": [105, 187, 365, 448], "motiv": [105, 365], "global": [105, 172, 365, 433], "text8": [105, 365], "enwik8": [105, 365], "wikihop": [105, 365], "triviaqa": [105, 365], "led": [105, 110, 111, 125, 365, 370, 371, 386], "found": [105, 117, 125, 184, 191, 199, 253, 365, 377, 386, 445, 452, 459, 514, 531], "18792399764060974": [105, 110, 365, 370], "14591649174690247": [105, 110, 365, 370], "20547787845134735": [105, 110, 365, 370], "1468472778797": [105, 110, 365, 370], "22845706343650818": [105, 110, 365, 370], "18073144555091858": [105, 110, 365, 370], "09725798666477203": [105, 110, 365, 370], "0417917296290": [105, 110, 365, 370], "07037967443466187": [105, 110, 365, 370], "14801117777824402": [105, 110, 365, 370], "03603338822722435": [105, 110, 365, 370], "17893412709": [105, 110, 365, 370], "08734266459941864": [105, 110, 365, 370], "2486150562763214": [105, 110, 365, 370], "009067727252840996": [105, 110, 365, 370], "24408400058": [105, 110, 365, 370], "22409197688102722": [105, 110, 365, 370], "4312366545200348": [105, 110, 365, 370], "1401449590921402": [105, 110, 365, 370], "356410235166549": [105, 110, 365, 370], "minilm": [106, 366], "minilm_l6_v2": [106, 366], "agnost": [106, 366], "3x": [106, 366], "5x": [106, 366], "22x": [106, 366], "12x": [106, 366], "1234567": [106, 366], "2345678": [106, 366], "3456789": [106, 366], "4567890": [106, 366], "5678901": [106, 366], "6789012": [106, 366], "7890123": [106, 366], "adopt": [107, 171, 367, 432], "permut": [107, 120, 367, 380], "inherit": [107, 320, 367, 441, 476, 495], "advantag": [107, 211, 367, 472], "all_mpnet_base_v2": [107, 367], "neglect": [107, 120, 367, 380], "plm": [107, 367], "doe": [107, 118, 125, 138, 141, 169, 170, 172, 208, 211, 242, 367, 378, 386, 399, 402, 430, 431, 433, 469, 472, 504, 529, 532, 533], "full": [107, 109, 120, 177, 178, 237, 238, 239, 367, 369, 380, 438, 439, 499, 528], "thu": [107, 125, 367, 386], "suffer": [107, 120, 367, 380], "discrep": [107, 120, 367, 380], "auxiliari": [107, 367], "160gb": [107, 367], "down": [107, 140, 237, 367, 401, 499, 528, 529], "stream": [107, 146, 160, 161, 162, 165, 222, 367, 407, 420, 421, 422, 425, 483], "experiment": [107, 125, 367, 386], "022502584": [107, 367], "078291744": [107, 367], "023030775": [107, 367], "0051000593": [107, 367], "080340415": [107, 367], "039": [107, 367], "041702367": [107, 367], "0010974605": [107, 367], "015534201": [107, 367], "07092203": [107, 367], "0017729357": [107, 367], "04661": [107, 367], "mxbai": [108, 368], "mxbai_large_v1": [108, 368], "hello": [108, 113, 114, 130, 134, 160, 164, 190, 210, 257, 368, 373, 374, 390, 395, 420, 424, 450, 471, 519], "50387806": [108, 113, 114, 368, 373, 374], "5861606": [108, 113, 114, 368, 373, 374], "35129607": [108, 113, 114, 368, 373, 374], "76046336": [108, 113, 114, 368, 373, 374], "32446072": [108, 113, 114, 368, 373, 374], "117674336": [108, 113, 114, 368, 373, 374], "6660665": [108, 113, 114, 368, 373, 374], "961762": [108, 113, 114, 368, 373, 374], "24854276": [108, 113, 114, 368, 373, 374], "1018044": [108, 113, 114, 368, 373, 374], "6569202": [108, 113, 114, 368, 373, 374], "027635604": [108, 113, 114, 368, 373, 374], "1915": [108, 113, 114, 368, 373, 374], "cls_avg": [108, 113, 114, 368, 373, 374], "avg": [108, 113, 114, 368, 373, 374], "nomic": [109, 369], "8192": [109, 369], "ada": [109, 147, 369, 408], "002": [109, 147, 369, 408], "short": [109, 114, 237, 238, 369, 374, 499], "nomic_embed_v1": [109, 369], "technic": [109, 113, 173, 177, 369, 373, 434, 438], "report": [109, 110, 111, 113, 115, 163, 173, 177, 235, 369, 370, 371, 373, 375, 423, 434, 438, 496, 524], "reproduc": [109, 169, 235, 369, 430, 496, 524, 525], "opendata": [109, 369], "licens": [109, 171, 178, 369, 432, 439], "loader": [109, 369], "235": [109, 369], "replic": [109, 110, 111, 163, 369, 370, 371, 423], "embedtext": [109, 369], "nomicai": [109, 369], "contrastor": [109, 369], "robustli": [110, 111, 143, 370, 371, 404], "yinhan": [110, 111, 370, 371], "myle": [110, 111, 118, 119, 370, 371, 378, 379], "ott": [110, 111, 118, 119, 370, 371, 378, 379], "naman": [110, 111, 118, 119, 370, 371, 378, 379], "goyal": [110, 111, 118, 119, 370, 371, 378, 379], "jingfei": [110, 111, 370, 371], "du": [110, 111, 127, 370, 371, 388], "mandar": [110, 111, 370, 371], "joshi": [110, 111, 370, 371], "danqi": [110, 111, 370, 371], "omer": [110, 111, 370, 371], "levi": [110, 111, 370, 371], "mike": [110, 111, 370, 371], "lewi": [110, 111, 370, 371], "luke": [110, 111, 118, 119, 370, 371, 378, 379], "zettlemoy": [110, 111, 118, 119, 370, 371, 378, 379], "veselin": [110, 111, 118, 119, 370, 371, 378, 379], "stoyanov": [110, 111, 118, 119, 370, 371, 378, 379], "hyperparamet": [110, 111, 370, 371], "mini": [110, 111, 175, 370, 371, 436], "roberta_bas": [110, 370], "bpe": [110, 370], "gain": [110, 111, 118, 119, 163, 169, 370, 371, 378, 379, 423, 430], "care": [110, 111, 193, 370, 371, 454], "comparison": [110, 111, 115, 177, 187, 370, 371, 375, 438, 448], "privat": [110, 111, 370, 371, 490], "impact": [110, 111, 370, 371], "carefulli": [110, 111, 146, 178, 370, 371, 407, 439], "undertrain": [110, 111, 370, 371], "highlight": [110, 111, 370, 371], "previous": [110, 111, 125, 177, 370, 371, 386, 438], "overlook": [110, 111, 370, 371], "rais": [110, 111, 125, 135, 140, 141, 235, 349, 370, 371, 386, 396, 401, 402, 496], "sent_roberta_bas": [111, 371], "embeddingssent": [112, 372], "22093398869037628": [112, 372], "25130119919776917": [112, 372], "41810303926467896": [112, 372], "380883991718": [112, 372], "snowflak": [113, 373], "arctic": [113, 373], "snowflake_artic_m": [113, 373], "accur": [113, 115, 158, 163, 184, 373, 375, 419, 423, 445], "deriv": [113, 185, 373, 446], "400m": [113, 373], "public": [113, 123, 242, 259, 373, 383, 504, 528], "1m": [113, 373], "triplet": [113, 373], "harm": [113, 373], "mine": [113, 169, 172, 373, 430, 433], "shortli": [113, 373], "uae": [114, 374], "satur": [114, 374], "uae_large_v1": [114, 374], "st": [114, 374], "vanish": [114, 374], "gradient": [114, 139, 374, 400], "issu": [114, 196, 262, 374, 457], "idea": [114, 120, 374, 380], "advers": [114, 374], "imped": [114, 374], "hinder": [114, 374], "furthermor": [114, 120, 177, 374, 380, 438], "examin": [114, 374], "scenario": [114, 158, 260, 374, 419, 522], "were": [114, 117, 140, 177, 235, 374, 377, 401, 438, 496, 524], "uae_smal": [114, 374], "tfhub_us": [115, 375], "op": [115, 375], "lingual": [115, 118, 119, 125, 127, 170, 319, 375, 378, 379, 386, 388, 431], "trade": [115, 118, 119, 375, 378, 379], "tend": [115, 375], "With": [115, 120, 125, 178, 375, 380, 386, 439], "minim": [115, 143, 170, 238, 319, 375, 404, 431, 500], "encourag": [115, 168, 375, 429], "weat": [115, 375], "bia": [115, 146, 160, 161, 162, 177, 222, 375, 407, 420, 421, 422, 438, 483], "freeli": [115, 375], "04616805538535118": [115, 375], "022307956591248512": [115, 375], "044395286589860916": [115, 375], "0016493503": [115, 375], "changeabl": 115, "nor": [115, 125, 386], "word2vec_gigaword_300": [116, 376], "word2vec_wiki": [116, 376], "setstoragepath": [117, 130, 214, 225, 377, 390, 486], "line": [117, 122, 130, 134, 146, 155, 157, 183, 237, 238, 241, 246, 251, 253, 255, 377, 381, 390, 395, 407, 416, 418, 443, 499, 503, 513, 514, 517], "39658191506190343": [117, 377], "630968081620067": [117, 377], "5393722253731201": [117, 377], "8428180123359783": [117, 377], "7535235923631415": [117, 377], "9699218875629833": [117, 377], "10397182122983872": [117, 377], "11833962569383116": [117, 377], "stress": [117, 377], "0492683418305907": [117, 377], "9415954572751959": [117, 377], "47624463167525755": [117, 377], "16790967216778263": [117, 377], "induc": [117, 377], "1535748762292387": [117, 377], "33498936903209897": [117, 377], "9235178224122094": [117, 377], "1158772920395934": [117, 377], "dump": [117, 377], "10000": [117, 377], "random_embeddings_dim4": [117, 377], "setstorageref": [117, 214, 225, 377, 486], "glove_4d": [117, 377], "setdimens": [117, 214, 222, 377, 483], "patient": [117, 377], "diagnos": [117, 377], "diabet": [117, 377], "9439099431037903": [117, 377], "4707513153553009": [117, 377], "806300163269043": [117, 377], "16176554560661316": [117, 377], "7966810464859009": [117, 377], "5551124811172485": [117, 377], "8861005902290344": [117, 377], "28284206986427307": [117, 377], "025029370561242104": [117, 377], "35177749395370483": [117, 377], "052506182342767715": [117, 377], "1887107789516449": [117, 377], "08617766946554184": [117, 377], "8399239182472229": [117, 377], "5395117998123169": [117, 377], "7864698767662048": [117, 377], "6599600911140442": [117, 377], "16109347343444824": [117, 377], "6041093468666077": [117, 377], "8913561105728149": [117, 377], "5955275893211365": [117, 377], "01899011991918087": [117, 377], "4397728443145752": [117, 377], "8911281824111938": [117, 377], "9840458631515503": [117, 377], "7599489092826843": [117, 377], "9417727589607239": [117, 377], "8624503016471863": [117, 377], "glove_100d": [117, 140, 377, 401], "There": [117, 122, 123, 162, 191, 377, 381, 383, 422, 452, 526, 528, 529, 534], "conveni": [117, 377], "coverag": [117, 220, 377, 480], "stat": [117, 377], "whole": [117, 141, 173, 225, 241, 377, 402, 434, 486, 503], "570580005645752": [117, 377], "44183000922203064": [117, 377], "7010200023651123": [117, 377], "417129993438720": [117, 377], "542639970779419": [117, 377], "4147599935531616": [117, 377], "0321999788284302": [117, 377], "4024400115013122": [117, 377], "2708599865436554": [117, 377], "04400600120425224": [117, 377], "020260000601410866": [117, 377], "17395000159": [117, 377], "6191999912261963": [117, 377], "14650000631809235": [117, 377], "08592499792575836": [117, 377], "2629800140857": [117, 377], "3397899866104126": [117, 377], "20940999686717987": [117, 377], "46347999572753906": [117, 377], "6479200124740": [117, 377], "storage_ref": [117, 122, 130, 225, 377, 381, 390, 486], "embeddings_col": [117, 377], "coverateresult": [117, 377], "wordsoverallcoverag": [117, 377], "resultdf": [117, 239, 377, 501], "output_col": [117, 377], "wordscoverag": [117, 377], "cov_embed": [117, 377], "alexi": [118, 119, 378, 379], "conneau": [118, 119, 378, 379], "kartikai": [118, 119, 378, 379], "khandelw": [118, 119, 378, 379], "vishrav": [118, 119, 378, 379], "chaudhari": [118, 119, 378, 379], "guillaum": [118, 119, 378, 379], "wenzek": [118, 119, 378, 379], "francisco": [118, 119, 125, 378, 379, 386], "guzman": [118, 378], "edouard": [118, 119, 378, 379], "grave": [118, 119, 378, 379], "5tb": [118, 119, 378, 379], "commoncrawl": [118, 119, 378, 379], "xlm_roberta_bas": [118, 378], "abl": [118, 160, 169, 179, 235, 378, 420, 430, 440, 496, 527], "terabyt": [118, 119, 378, 379], "r": [118, 119, 125, 164, 378, 379, 386, 424], "mbert": [118, 119, 378, 379], "xnli": [118, 119, 378, 379], "mlqa": [118, 119, 378, 379], "particularli": [118, 119, 163, 177, 378, 379, 423, 438], "swahili": [118, 119, 378, 379], "urdu": [118, 119, 378, 379], "capac": [118, 119, 166, 169, 378, 379, 426, 430], "dilut": [118, 119, 378, 379], "sacrif": [118, 119, 378, 379], "ri": [118, 119, 378, 379], "05969233065843582": [118, 378], "030789051204919815": [118, 378], "04443822056055069": [118, 378], "09564960747": [118, 378], "038839809596538544": [118, 378], "011712731793522835": [118, 378], "019954433664679527": [118, 378], "0667808502": [118, 378], "03952755779027939": [118, 378], "03455188870429993": [118, 378], "019103847444057465": [118, 378], "04311436787": [118, 378], "09579929709434509": [118, 378], "02494969218969345": [118, 378], "014753809198737144": [118, 378], "10259044915": [118, 378], "004710011184215546": [118, 378], "022148698568344116": [118, 378], "011723337695002556": [118, 378], "013356896": [118, 378], "guzm\u00e3": [119, 379], "sent_xlm_roberta_bas": [119, 379], "xl": [120, 237, 239, 244, 247, 251, 380, 499, 501, 509, 513], "exhibit": [120, 380], "involv": [120, 155, 173, 380, 416, 434], "rank": [120, 161, 165, 181, 183, 203, 222, 380, 421, 425, 441, 443, 463, 483], "xlnet_large_cas": [120, 380], "xlnet_base_cas": [120, 380], "zihangdai": [120, 380], "denois": [120, 163, 380, 423], "autoencod": [120, 163, 380, 423], "corrupt": [120, 163, 380, 423], "pro": [120, 380], "con": [120, 380], "likelihood": [120, 146, 380, 407], "overcom": [120, 380], "formul": [120, 380], "6287205219268799": [120, 380], "4865287244319916": [120, 380], "186111718416214": [120, 380], "234187275171279": [120, 380], "1967450380325317": [120, 380], "2746637463569641": [120, 380], "9481253027915955": [120, 380], "3431355059146881": [120, 380], "0777631998062134": [120, 380], "092679977416992": [120, 380], "5331977605819702": [120, 380], "11190271377563": [120, 380], "8349916934967041": [120, 380], "45627787709236145": [120, 380], "7890847325325012": [120, 380], "028069257736": [120, 380], "134845569729805": [120, 380], "11672890186309814": [120, 380], "4945235550403595": [120, 380], "66587203741073": [120, 380], "alphabet": [121, 122, 144, 381, 405], "patternsresourc": [121, 122, 381], "sentencematch": [121, 122, 381], "setalphabetresourc": [121, 122, 381], "setpatternsresourc": [121, 122, 381], "setsentencematch": [121, 122, 381], "setusestorag": [121, 122, 381], "usestorag": [121, 122, 381], "extractent": [121, 122, 381], "setextractent": [121, 122, 381], "entityrul": [122, 381], "exact": [122, 130, 134, 146, 381, 390, 395, 407], "definit": [122, 143, 253, 381, 404, 514], "jsonl": [122, 381], "might": [122, 140, 196, 381, 401, 457, 533], "rule": [122, 129, 131, 133, 157, 189, 191, 193, 221, 226, 238, 239, 381, 391, 394, 418, 452, 454, 482, 487], "winterfel": [122, 381], "jon": [122, 381], "snow": [122, 142, 162, 183, 381, 403, 422, 443], "stark": [122, 381], "eddard": [122, 381], "rocksdb": [122, 381], "lord": [122, 381], "29": [122, 142, 196, 255, 257, 381, 403, 457, 517, 519], "38": [122, 175, 247, 257, 381, 436, 509, 519], "plain": [122, 237, 238, 239, 247, 381, 499, 500, 501, 509, 534], "communication_ent": [122, 381], "network_ent": [122, 381], "media_ent": 122, "entity_pattern": [122, 381], "regexpattern": [122, 381], "email_address_pattern": [122, 381], "ipv4_pattern": [122, 381], "graph": [123, 140, 141, 170, 183, 188, 204, 319, 383, 401, 402, 431, 443, 449, 464], "relev": [123, 125, 146, 158, 161, 203, 383, 386, 407, 421, 463], "taken": [123, 383], "implicitli": [123, 383], "travers": [123, 383], "neighbor": [123, 181, 383, 441], "symbol": [123, 183, 196, 383, 443, 457], "coordin": [123, 154, 238, 246, 251, 383, 415, 500, 513], "remoteloc": [123, 383], "rdf": [123, 204, 383, 464], "nertagg": [123, 139, 140, 141, 142, 383, 400, 401, 402, 403], "morn": [123, 204, 383, 464], "flight": [123, 204, 383, 464], "denver": [123, 204, 383, 464], "18": [123, 131, 132, 135, 138, 142, 162, 208, 227, 241, 383, 391, 393, 396, 399, 403, 422, 469, 488, 503, 527], "path1": [123, 383], "iob": [123, 138, 139, 140, 383, 399, 400, 401], "iob2": [123, 138, 383, 399], "getstopword": [124, 125, 386], "maxngram": [124, 125, 386], "minngram": [124, 125, 386], "nkeyword": [124, 125, 386], "setmaxngram": [124, 125, 386], "setminngram": [124, 125, 386], "setnkeyword": [124, 125, 386], "yake": [125, 386], "independ": [125, 184, 185, 191, 386, 445, 446, 452], "grow": [125, 386], "autom": [125, 171, 386, 432], "adequ": [125, 386], "emerg": [125, 163, 179, 386, 423, 440], "tool": [125, 146, 163, 177, 178, 210, 386, 407, 423, 438, 439, 471], "thesauri": [125, 386], "neither": [125, 386], "written": [125, 170, 319, 386, 431], "plethora": [125, 386], "situat": [125, 155, 386, 416], "access": [125, 173, 210, 386, 434, 471], "restrict": [125, 174, 386, 435], "therefor": [125, 386, 532], "boundari": [125, 154, 155, 158, 193, 196, 237, 238, 239, 386, 415, 416, 419, 454, 457, 499], "detector": [125, 131, 157, 386, 391, 418], "section": [125, 200, 209, 238, 239, 386, 460, 470, 524, 526, 532], "tweakabl": [125, 386], "upper": [125, 386], "bound": [125, 154, 155, 158, 386, 415, 416, 419], "occurr": [125, 221, 386, 482], "campo": [125, 386], "mangaravit": [125, 386], "pasquali": [125, 386], "jatowt": [125, 386], "jorg": [125, 386], "nune": [125, 386], "journal": [125, 196, 386, 457], "elsevi": [125, 386], "vol": [125, 386], "509": [125, 386], "pp": [125, 196, 386, 457], "257": [125, 386], "289": [125, 386], "turn": [125, 213, 386, 474, 528], "come": [125, 138, 146, 167, 173, 386, 399, 407, 428, 434], "fly": [125, 386], "demand": [125, 386], "within": [125, 152, 158, 163, 166, 193, 199, 239, 247, 248, 386, 413, 419, 423, 426, 454, 459, 501, 509, 510], "resort": [125, 386], "alwai": [125, 146, 168, 173, 174, 175, 177, 179, 349, 386, 407, 429, 434, 435, 436, 438, 440], "solut": [125, 171, 386, 432], "articl": [125, 183, 386, 443], "rest": [125, 138, 386, 399], "extern": [125, 128, 133, 134, 139, 140, 141, 183, 188, 211, 226, 253, 254, 255, 256, 261, 386, 389, 394, 395, 401, 402, 443, 449, 472, 487, 514, 515, 517, 518], "merit": [125, 386], "ten": [125, 386], "carri": [125, 161, 203, 386, 421, 463], "twenti": [125, 386], "setcontextchar": [125, 189, 193, 386, 454], "acquir": [125, 386], "kaggl": [125, 178, 386, 439], "platform": [125, 146, 147, 235, 386, 407, 408, 496, 526], "host": [125, 386], "transact": [125, 386], "somewhat": [125, 386], "vagu": [125, 386], "confer": [125, 386], "week": [125, 131, 132, 190, 386, 391, 393, 450], "announc": [125, 142, 386, 403], "earli": [125, 386], "tomorrow": [125, 131, 132, 386, 391, 393], "founder": [125, 386], "ceo": [125, 386], "anthoni": [125, 386], "goldbloom": [125, 386], "declin": [125, 386], "deni": [125, 386], "acquisit": [125, 386], "happen": [125, 386], "rumor": [125, 386], "scientist": [125, 386], "ben": [125, 386], "hamner": [125, 386], "2010": [125, 386], "servic": [125, 146, 170, 319, 386, 407, 431], "got": [125, 386], "few": [125, 193, 255, 386, 454, 517, 534], "competitor": [125, 386], "drivendata": [125, 386], "topcod": [125, 386], "hackerrank": [125, 386], "manag": [125, 242, 261, 386, 504, 525], "stai": [125, 386], "ahead": [125, 386], "nich": [125, 386], "bui": [125, 254, 386, 515], "commun": [125, 167, 168, 173, 174, 386, 428, 429, 434, 435], "mindshar": [125, 386], "too": [125, 157, 386, 418, 527], "plenti": [125, 386], "bit": [125, 155, 386, 416, 533], "histori": [125, 155, 183, 386, 416, 443], "earlier": [125, 386], "month": [125, 131, 132, 255, 386, 391, 393, 517, 534], "team": [125, 170, 235, 319, 386, 431, 496, 524], "around": [125, 162, 172, 386, 422, 433], "youtub": [125, 386], "interest": [125, 173, 174, 175, 177, 386, 434, 435, 436, 438], "kernel": [125, 386], "On": [125, 165, 166, 170, 319, 386, 425, 426, 431], "analyz": [125, 158, 386, 419], "compani": [125, 170, 319, 386, 431], "script": [125, 169, 386, 430], "centric": [125, 169, 172, 386, 430, 433], "job": [125, 199, 386, 459], "board": [125, 152, 255, 386, 413, 517], "unclear": [125, 386], "crunchbas": [125, 386], "pitchbook": [125, 386], "launch": [125, 386], "investor": [125, 386], "ventur": [125, 386], "sv": [125, 386], "angel": [125, 165, 386, 425], "levchin": [125, 386], "naravik": [125, 386], "chie": [125, 386], "economist": [125, 386], "hal": [125, 386], "varian": [125, 386], "khosla": [125, 386], "yuri": [125, 386], "milner": [125, 386], "resulttupl": [125, 386], "ascend": [125, 386], "orderbi": [125, 386], "32051516486864573": [125, 386], "37786450577630676": [125, 386], "39922830978423146": [125, 386], "40224744669493756": [125, 386], "41584827825302534": [125, 386], "danish": [125, 187, 386, 448], "dutch": [125, 187, 386, 448], "finnish": [125, 187, 386, 448], "german": [125, 187, 253, 386, 448, 514, 534], "hungarian": [125, 187, 386, 448], "italian": [125, 146, 183, 187, 386, 407, 443, 448], "norwegian": [125, 187, 386, 448], "portugues": [125, 187, 386, 448], "russian": [125, 187, 386, 448], "spanish": [125, 187, 386, 448], "swedish": [125, 187, 386, 448], "turkish": [125, 187, 386, 448], "ld": [127, 384, 388], "identif": [127, 225, 388, 486], "rnn": [127, 388], "tatoeba": [127, 388], "wiki": [127, 388], "languagedetector": [127, 388], "ld_wiki_tatoeba_cnn_21": [127, 388], "java": [127, 242, 261, 320, 388, 441, 475, 476, 485, 491, 492, 495, 504, 511], "scala": [127, 320, 388, 441, 475, 476, 485, 491, 495, 511], "program": [127, 178, 388, 439], "biblioth\u00e8qu": [127, 388], "traitement": [127, 388], "pour": [127, 388], "le": [127, 170, 319, 388, 431], "avanc\u00e9": [127, 388], "langag": [127, 388], "naturel": [127, 388], "programm": [127, 388], "ist": [127, 388], "ein": [127, 388], "textverarbeitungsbibliothek": [127, 388], "f\u00fcr": [127, 388], "fortgeschritten": [127, 388], "nat\u00fcrlich": [127, 388], "sprachverarbeitung": [127, 388], "die": [127, 388], "programmiersprachen": [127, 388], "und": [127, 388], "lemma": [128, 157, 208, 241, 254, 389, 418, 469, 503, 515, 529, 532, 533], "lemmas_smal": [128, 157, 389, 418], "keydelimit": 128, "valuedelimit": 128, "correspend": [128, 389], "key_delimit": [128, 389], "value_delimit": [128, 389], "fromlemma": [128, 389], "lemma_antbnc": [128, 389], "mergeoverlap": [129, 130, 134, 390, 395], "setent": [129, 130, 134, 136, 137, 190, 390, 395, 398, 450], "setmergeoverlap": [129, 130, 134, 390, 395], "settoken": [129, 130, 390], "searchtri": [129, 130, 134, 390, 395], "aggressivematch": [129, 131, 391], "anchordatedai": [129, 131, 132, 391, 393], "anchordatemonth": [129, 131, 132, 391, 393], "anchordateyear": [129, 131, 132, 391, 393], "defaultdaywhenmiss": [129, 131, 132, 391, 393], "inputformat": [129, 131, 197, 212, 391, 473], "outputformat": [129, 131, 236, 238, 391, 500], "readmonthfirst": [129, 131, 132, 391, 393], "relaxedfactorystrategi": [129, 131, 391], "setaggressivematch": [129, 131, 391], "setanchordatedai": [129, 131, 132, 391, 393], "setanchordatemonth": [129, 131, 132, 391, 393], "setanchordateyear": [129, 131, 132, 391, 393], "setdefaultdaywhenmiss": [129, 131, 391], "setinputformat": [129, 131, 197, 212, 391, 473], "setoutputformat": [129, 131, 132, 236, 238, 391, 393, 500], "setreadmonthfirst": [129, 131, 391], "setrelaxedfactorystrategi": [129, 131, 391], "setsourcelanguag": [129, 131, 391], "sourcelanguag": [129, 131, 391], "externalrul": [129, 133, 394], "setexternalrul": [129, 133, 394], "setrul": [129, 133, 394], "setstrategi": [129, 133, 394], "buildfromtoken": [129, 134, 395], "entityvalu": [129, 134, 395], "setbuildfromtoken": [129, 134, 395], "setentityvalu": [129, 134, 395], "trie": [130, 390], "dolor": [130, 134, 390, 395], "magna": [130, 134, 390, 395], "aliqua": [130, 134, 390, 395], "laborum": [130, 134, 390, 395], "entityextractor": [130, 134, 190, 390, 395, 450], "59": [130, 131, 132, 134, 390, 391, 393, 395], "tokenizer_model": [130, 390], "btm": [130, 390], "tmvocab": [130, 390], "tmedg": [130, 390], "tmnode": [130, 390], "1978": [131, 132, 391, 393], "28": [131, 132, 138, 208, 227, 239, 241, 257, 391, 393, 399, 469, 488, 501, 503, 519, 527], "1984": [131, 132, 391, 393], "04": [131, 132, 391, 393], "02": [131, 132, 391, 393], "1980": [131, 132, 391, 393], "31st": [131, 132, 391, 393], "april": [131, 132, 391, 393], "year": [131, 132, 166, 167, 190, 255, 391, 393, 426, 428, 450, 517], "2008": [131, 132, 391, 393], "fri": [131, 132, 391, 393], "1997": [131, 132, 391, 393], "jan": [131, 132, 391, 393], "sun": [131, 132, 391, 393], "1st": [131, 132, 391, 393], "thursdai": [131, 132, 391, 393], "wednesdai": [131, 132, 391, 393], "todai": [131, 132, 164, 172, 210, 257, 391, 393, 424, 433, 471, 519], "yesterdai": [131, 132, 391, 393], "0600h": [131, 132, 391, 393], "06": [131, 132, 391, 393], "00": [131, 132, 391, 393], "6pm": [131, 132, 391, 393], "23": [131, 132, 133, 142, 152, 255, 256, 257, 391, 393, 394, 403, 413, 517, 518, 519, 534], "1988": [131, 132, 391, 393], "31": [131, 132, 133, 142, 152, 255, 391, 393, 394, 403, 413, 517], "dateformat": [131, 132, 391, 393], "desir": [131, 132, 391, 393], "yyyi": [131, 132, 391, 393], "mm": [131, 132, 196, 391, 393, 457], "dd": [131, 132, 133, 391, 393, 394], "anchor": [131, 132, 391, 393], "januari": [131, 132, 391, 393], "15": [131, 246, 247, 257, 391, 508, 509, 519], "aggress": [131, 391], "attempt": [131, 184, 391, 445], "ambigu": [131, 391], "juli": [131, 391], "07": [131, 391], "05": [131, 162, 246, 391, 422, 508], "2015": [131, 391], "relax": [131, 162, 391, 422], "Not": [131, 140, 211, 391, 401, 472], "5th": [131, 391], "match_first": [131, 133, 214, 221, 391, 394, 482], "exhaust": [131, 391], "saw": [132, 393], "visit": [132, 146, 393, 407], "57": [132, 142, 393, 403], "65": [132, 142, 393, 403], "d": [133, 144, 193, 239, 394, 405, 454, 501, 526], "1970": [133, 394], "match_al": [133, 214, 221, 394, 482], "match_complet": [133, 214, 221, 394, 482], "ceremoni": [133, 394], "71": [133, 394], "short_dat": [133, 394], "regardless": [134, 395], "27": [134, 152, 154, 255, 395, 413, 415, 517], "48": [134, 196, 257, 395, 457, 519], "null": [135, 250, 396, 512], "empti": [135, 162, 181, 188, 199, 208, 237, 238, 247, 396, 422, 441, 459, 469, 499, 509], "join": [135, 152, 210, 212, 237, 238, 255, 396, 413, 471, 473, 499, 500, 517], "minepoch": [136, 137, 139, 140, 398, 400, 401], "setminepoch": [136, 137, 139, 398, 400], "setrandomse": [136, 137, 140, 141, 148, 149, 159, 170, 398, 401, 402, 409, 431], "nerhasnoschema": [136, 138, 399], "preserveposit": [136, 138, 189, 192, 197, 213, 399, 453, 474], "setnerhasnoschema": [136, 138, 399], "setpreserveposit": [136, 138, 189, 192, 197, 213, 399, 453, 474], "setwhitelist": [136, 138, 189, 191, 399, 452], "whitelist": [136, 138, 189, 191, 399, 452], "c0": [136, 139, 400], "externalfeatur": [136, 139, 400], "includeconfid": [136, 139, 140, 400, 401], "l2": [136, 139, 400], "lossep": [136, 139, 400], "minw": [136, 139, 400], "setc0": [136, 139, 400], "setexternalfeatur": [136, 139, 400], "setincludeconfid": [136, 139, 140, 400, 401], "setl2": [136, 139, 400], "setlossep": [136, 139, 400], "setminw": [136, 139, 400], "bestmodelmetr": [136, 140, 401], "enablememoryoptim": [136, 140, 401], "includeallconfidencescor": [136, 140, 401], "setbestmodelmetr": [136, 140, 401], "setenablememoryoptim": [136, 140, 401], "setincludeallconfidencescor": [136, 140, 401], "setpo": [136, 140, 401], "setusebestmodel": [136, 140, 401], "setusecontrib": [136, 140, 401], "usebestmodel": [136, 140, 401], "usecontrib": [136, 140, 401], "embeddingsdim": [136, 141, 402], "setembeddingsdim": [136, 141, 402], "setembeddingsmodel": [136, 141, 402], "nerword": [136, 142, 403], "newnerent": [136, 142, 403], "replaceent": [136, 142, 403], "setnerword": [136, 142, 403], "setnewnerent": [136, 142, 403], "setreplaceent": [136, 142, 403], "ignoreent": [136, 143, 404], "predictionthreshold": [136, 143, 404], "setentitydefinit": [136, 143, 404], "setpredictionthreshold": [136, 143, 404], "recogn": [137, 138, 139, 140, 142, 143, 183, 398, 399, 400, 401, 403, 404, 443], "friendli": [138, 146, 170, 319, 399, 407, 431], "outsid": [138, 399], "ekeu": [138, 139, 140, 208, 227, 241, 399, 400, 401, 469, 488, 503], "36": [138, 152, 208, 227, 241, 255, 257, 399, 413, 469, 488, 503, 517, 519], "baghdad": [138, 139, 140, 208, 227, 241, 399, 400, 401, 469, 488, 503], "37": [138, 208, 227, 241, 399, 469, 488, 503], "nercrf": [139, 400], "crf": [139, 140, 400, 401], "2003": [139, 140, 196, 253, 400, 401, 457, 514, 534], "exclud": [139, 140, 247, 250, 400, 401, 509, 512], "decai": [139, 140, 400, 401], "2250000": [139, 400], "ep": [139, 400], "confid": [139, 140, 143, 400, 401, 404], "trainingdata": [139, 140, 141, 155, 184, 185, 253, 400, 401, 402, 416, 445, 446, 514], "readdataset": [139, 140, 141, 152, 196, 252, 253, 254, 255, 256, 257, 400, 401, 402, 413, 457, 514, 515, 517, 518, 519, 534], "conll2003": [139, 140, 141, 253, 400, 401, 402, 514, 534], "eng": [139, 140, 141, 253, 400, 401, 402, 514, 534], "c0valu": [139, 400], "l2valu": [139, 400], "verbosevalu": [139, 400], "prerequisit": [139, 140, 142, 400, 401, 403, 528], "nerdl": [140, 141, 401, 402], "char": [140, 144, 155, 238, 246, 401, 405, 416], "bilstm": [140, 401], "tagger": [140, 255, 401, 517, 534], "rage": [140, 401], "contrib": [140, 401], "cell": [140, 212, 237, 238, 239, 401, 473, 499, 500], "slightli": [140, 155, 177, 401, 416, 438], "slow": [140, 401], "micro": [140, 401], "macro": [140, 401], "nermodel": [140, 401], "javaestim": [141, 211, 215, 233], "javamlwrit": [141, 215, 216, 224, 230, 246], "least": [141, 160, 161, 162, 196, 222, 402, 420, 421, 422, 457, 483], "nerdlgraphcheckertestspec": [141, 402], "annotatorr": [141, 402], "fall": [141, 177, 402, 438], "cannot": [141, 146, 210, 402, 407, 471], "javamodel": [141, 216, 233], "ident": [141, 181, 402, 441], "setnewresult": [142, 403], "overwritten": [142, 403], "lab": [142, 403], "42": [142, 152, 403, 413], "45": [142, 152, 255, 257, 403, 413, 517, 519], "47": [142, 255, 257, 403, 517, 519], "ner_overwritten": [142, 403], "cardin": [142, 403], "rw": [142, 403], "zeroshotn": [143, 404], "zer_shot_n": [143, 404], "entitydefinit": [143, 404], "citi": [143, 404], "town": [143, 404], "01f": [143, 404], "zero_shot_n": [143, 404], "hellen": [143, 404], "5328949": [143, 404], "9360068": [143, 404], "83294415": [143, 404], "45366877": [143, 404], "shortcut": [143, 404], "zero_shot_ner_roberta": [143, 404], "stem": [144, 186, 208, 241, 405, 447, 469, 503, 532, 533], "henc": [144, 405], "pl": [144, 405], "slang": [144, 405], "alphanumer": [144, 405], "za": [144, 405], "z": [144, 160, 161, 162, 193, 222, 405, 420, 421, 422, 454, 483], "brother": [144, 405], "dont": [144, 158, 405, 419], "sensit": [144, 184, 187, 193, 445, 448, 454], "bestof": [145, 146, 407], "echo": [145, 146, 407], "frequencypenalti": [145, 146, 160, 161, 162, 214, 222, 407, 420, 421, 422, 483], "logitbia": [145, 146, 407], "logprob": [145, 146, 407], "maxtoken": [145, 146, 407], "numberofcomplet": [145, 146, 407], "presencepenalti": [145, 146, 160, 161, 162, 214, 222, 407, 420, 421, 422, 483], "setbestof": [145, 146, 407], "setecho": [145, 146, 407], "setfrequencypenalti": [145, 146, 214, 222, 407, 483], "setlogitbia": [145, 146, 407], "setlogprob": [145, 146, 407], "setmaxtoken": [145, 146, 407], "setmodel": [145, 146, 147, 153, 155, 407, 408, 416], "setnumberofcomplet": [145, 146, 407], "setpresencepenalti": [145, 146, 214, 222, 407, 483], "setstop": [145, 146, 407], "setsuffix": [145, 146, 189, 191, 407, 452], "setus": [145, 146, 147, 407, 408], "suffix": [145, 146, 160, 161, 162, 189, 191, 193, 222, 407, 420, 421, 422, 452, 454, 483, 528], "request": [146, 147, 178, 237, 407, 408, 439, 499], "complet": [146, 160, 161, 162, 178, 222, 235, 407, 420, 421, 422, 439, 483, 496, 525, 528], "api": [146, 147, 262, 407, 408, 524, 528, 531], "insert": [146, 184, 185, 238, 407, 445, 446, 528], "nucleu": [146, 407], "mass": [146, 407], "penal": [146, 160, 161, 162, 222, 407, 420, 421, 422, 483], "topic": [146, 407], "verbatim": [146, 407], "best_of": [146, 407], "server": [146, 160, 161, 162, 407, 420, 421, 422, 533], "side": [146, 162, 165, 196, 407, 422, 425, 457], "abus": [146, 147, 407, 408], "davinci": [146, 407], "003": [146, 407], "empty_df": [146, 147, 407, 408], "sample_text": [146, 147, 407, 408], "restaur": [146, 157, 407, 418], "eateri": [146, 407], "dine": [146, 407], "sample_df": [146, 147, 407, 408], "258": [146, 407], "ni": [146, 210, 407, 471], "pleasur": [146, 407], "fiorita": [146, 407], "truli": [146, 173, 407, 434], "delight": [146, 407], "menu": [146, 407], "boast": [146, 407], "wonder": [146, 407], "classic": [146, 407], "dish": [146, 407], "exquisit": [146, 407], "staff": [146, 157, 407, 418], "227": [146, 407], "barbecu": [146, 407], "joe": [146, 407], "dinner": [146, 407], "amaz": [146, 407], "pull": [146, 178, 407, 439], "pork": [146, 407], "smoke": [146, 407], "turkei": [146, 407], "brisket": [146, 407], "rib": [146, 407], "sandwich": [146, 407], "opt": [146, 407], "172": [146, 407], "overallr": [146, 407], "reviewbodi": [146, 407], "enjoi": [146, 162, 165, 407, 422, 425], "meal": [146, 407], "flavour": [146, 407], "beautifulli": [146, 162, 407, 422], "candid": [146, 183, 184, 185, 193, 407, 443, 445, 446, 454], "consum": [146, 407], "quota": [146, 407], "ensur": [146, 171, 172, 178, 250, 407, 432, 433, 439, 491, 511, 512], "max_token": [146, 407], "mathemat": [146, 165, 171, 177, 407, 425, 432, 438], "ban": [146, 407], "50256": [146, 407], "prevent": [146, 407], "endoftext": [146, 407], "plu": [146, 166, 407, 426], "determinist": [146, 407], "alter": [146, 407], "delici": [147, 408], "waiter": [147, 408], "002297497": [147, 408], "009297881": [147, 408], "015739758": [147, 408], "0076794787": [147, 408], "004737794": [147, 408], "01487661": [147, 408], "009856389": [147, 408], "03823238": [147, 408], "0069305706": [147, 408], "028610818": [147, 408], "025208998": [147, 408], "018138802": [147, 408], "0036271256": [147, 408], "025539026": [147, 408], "204275e": [147, 408], "016374426": [147, 408], "02828079": [147, 408], "0054073683": [147, 408], "009710415": [147, 408], "016399812": [147, 408], "015397037": [147, 408], "00427766": [147, 408], "006987691": [147, 408], "0072859847": [147, 408], "003874646": [147, 408], "018544989": [147, 408], "008752067": [147, 408], "022657635": [147, 408], "011493831": [147, 408], "023901584": [147, 408], "015638212": [147, 408], "0035192322": [147, 408], "034932107": [147, 408], "0041919798": [147, 408], "02612292": [147, 408], "021515233": [147, 408], "005715182": [147, 408], "011754045": [147, 408], "008453773": [147, 408], "004080913": [147, 408], "019179657": [147, 408], "014419649": [147, 408], "00893612": [147, 408], "0063911034": [147, 408], "045670684": [147, 408], "017884934": [147, 408], "005610462": [147, 408], "219344e": [147, 408], "02211182": [147, 408], "0039539794": [147, 408], "021007499": [147, 408], "017631067": [147, 408], "011696924": [147, 408], "02260686": [147, 408], "016336346": [147, 408], "017174106": [147, 408], "008466466": [147, 408], "0015922225": [147, 408], "025094759": [147, 408], "024967825": [147, 408], "007806412": [147, 408], "005794516": [147, 408], "022187982": [147, 408], "0029162979": [147, 408], "0060959826": [147, 408], "025564414": [147, 408], "008104706": [147, 408], "0010178483": [147, 408], "9823447e": [147, 408], "0046425937": [147, 408], "02074094": [147, 408], "013467647": [147, 408], "004626727": [147, 408], "016006319": [147, 408], "0166156": [147, 408], "008948814": [147, 408], "007616012": [147, 408], "013619968": [147, 408], "0069749975": [147, 408], "0052677416": [147, 408], "009881775": [147, 408], "04592455": [147, 408], "0030464048": [147, 408], "024003131": [147, 408], "02301305": [147, 408], "006981344": [147, 408], "023571556": [147, 408], "009938896": [147, 408], "006537077": [147, 408], "033332746": [147, 408], "002690991": [147, 408], "019928563": [147, 408], "0017596161": [147, 408], "001090835": [147, 408], "022683023": [147, 408], "005007528": [147, 408], "01540973": [147, 408], "031530287": [147, 408], "0054676617": [147, 408], "015980931": [147, 408], "0051471544": [147, 408], "019890483": [147, 408], "009386734": [147, 408], "0062133963": [147, 408], "031174876": [147, 408], "009405775": [147, 408], "015270104": [147, 408], "028864685": [147, 408], "021020193": [147, 408], "018303815": [147, 408], "0029210579": [147, 408], "012693353": [147, 408], "005102728": [147, 408], "049580235": [147, 408], "04300508": [147, 408], "1293065e": [147, 408], "0215787": [147, 408], "016894853": [147, 408], "0065434235": [147, 408], "041431103": [147, 408], "662815e": [147, 408], "03351045": [147, 408], "0128901": [147, 408], "010510096": [147, 408], "807209e": [147, 408], "01835459": [147, 408], "2869726e": [147, 408], "01309954": [147, 408], "011982525": [147, 408], "005813556": [147, 408], "0070194243": [147, 408], "008637827": [147, 408], "018456135": [147, 408], "5521466e": [147, 408], "019141577": [147, 408], "021896034": [147, 408], "02975322": [147, 408], "0043220865": [147, 408], "0015160623": [147, 408], "0052074483": [147, 408], "0149527695": [147, 408], "0213883": [147, 408], "018836936": [147, 408], "01105591": [147, 408], "0074636918": [147, 408], "022632249": [147, 408], "0036810723": [147, 408], "006286383": [147, 408], "025678653": [147, 408], "027773056": [147, 408], "03668379": [147, 408], "00445854": [147, 408], "013911915": [147, 408], "008015852": [147, 408], "0056739287": [147, 408], "010281616": [147, 408], "0057659554": [147, 408], "00872668": [147, 408], "010649723": [147, 408], "0787844e": [147, 408], "032164957": [147, 408], "023838118": [147, 408], "002641804": [147, 408], "030387888": [147, 408], "029626286": [147, 408], "016602905": [147, 408], "0021784967": [147, 408], "0010519617": [147, 408], "0116524985": [147, 408], "018519603": [147, 408], "007552545": [147, 408], "007419265": [147, 408], "0011090817": [147, 408], "0044331537": [147, 408], "009989669": [147, 408], "007533505": [147, 408], "0061943564": [147, 408], "0057088356": [147, 408], "028230017": [147, 408], "0042554466": [147, 408], "029321646": [147, 408], "024790118": [147, 408], "015676292": [147, 408], "018202268": [147, 408], "0075017717": [147, 408], "00865052": [147, 408], "0063942764": [147, 408], "0020118963": [147, 408], "036963046": [147, 408], "002335577": [147, 408], "020804405": [147, 408], "6888937": [147, 408], "019598536": [147, 408], "0034748053": [147, 408], "0067401705": [147, 408], "02835695": [147, 408], "023393849": [147, 408], "0071527045": [147, 408], "010586256": [147, 408], "0096088685": [147, 408], "009488282": [147, 408], "021337526": [147, 408], "6766098e": [147, 408], "019801632": [147, 408], "0022705235": [147, 408], "009558095": [147, 408], "0020753632": [147, 408], "708839e": [147, 408], "0066449703": [147, 408], "04130417": [147, 408], "011220924": [147, 408], "013391487": [147, 408], "027722282": [147, 408], "011366897": [147, 408], "4434706e": [147, 408], "015460504": [147, 408], "549375e": [147, 408], "01449581": [147, 408], "008529933": [147, 408], "018875016": [147, 408], "017745307": [147, 408], "009437508": [147, 408], "024587024": [147, 408], "013010687": [147, 408], "008993241": [147, 408], "005093208": [147, 408], "024218917": [147, 408], "024066597": [147, 408], "0037857925": [147, 408], "031047942": [147, 408], "015003543": [147, 408], "023266915": [147, 408], "03021018": [147, 408], "0069115306": [147, 408], "010154682": [147, 408], "011430364": [147, 408], "030311726": [147, 408], "01764376": [147, 408], "0020975766": [147, 408], "006746517": [147, 408], "009748495": [147, 408], "01665368": [147, 408], "003658859": [147, 408], "02789999": [147, 408], "0040682196": [147, 408], "0031289116": [147, 408], "029905539": [147, 408], "016882159": [147, 408], "0021689767": [147, 408], "023228835": [147, 408], "011773085": [147, 408], "014292715": [147, 408], "019827018": [147, 408], "029575512": [147, 408], "0015803224": [147, 408], "018405361": [147, 408], "002776671": [147, 408], "019370057": [147, 408], "027569963": [147, 408], "008460119": [147, 408], "012445833": [147, 408], "0028322043": [147, 408], "0052804346": [147, 408], "006422837": [147, 408], "009335961": [147, 408], "02354617": [147, 408], "0010345082": [147, 408], "018900402": [147, 408], "0029908712": [147, 408], "0068544107": [147, 408], "010148335": [147, 408], "007939693": [147, 408], "0072796377": [147, 408], "020537846": [147, 408], "010928977": [147, 408], "029880153": [147, 408], "0038492593": [147, 408], "002795711": [147, 408], "01892579": [147, 408], "029956313": [147, 408], "024612412": [147, 408], "00446806": [147, 408], "026452947": [147, 408], "017605681": [147, 408], "041177236": [147, 408], "02018243": [147, 408], "014648129": [147, 408], "021553313": [147, 408], "0015017823": [147, 408], "0034874987": [147, 408], "034170505": [147, 408], "036125284": [147, 408], "02805231": [147, 408], "018430749": [147, 408], "003404992": [147, 408], "009329614": [147, 408], "020766325": [147, 408], "012560072": [147, 408], "01707256": [147, 408], "011538258": [147, 408], "007711212": [147, 408], "01332802": [147, 408], "007412918": [147, 408], "022492621": [147, 408], "0059055826": [147, 408], "025754813": [147, 408], "01904003": [147, 408], "013353407": [147, 408], "0026005507": [147, 408], "022530701": [147, 408], "007895266": [147, 408], "842112e": [147, 408], "028103083": [147, 408], "013962688": [147, 408], "019979337": [147, 408], "02115982": [147, 408], "0029305778": [147, 408], "01340418": [147, 408], "01609517": [147, 408], "011880978": [147, 408], "016793307": [147, 408], "0048837676": [147, 408], "013036073": [147, 408], "025767507": [147, 408], "030337114": [147, 408], "022454541": [147, 408], "018824242": [147, 408], "0019785764": [147, 408], "006146756": [147, 408], "0021055099": [147, 408], "0014525956": [147, 408], "011157458": [147, 408], "005293128": [147, 408], "011468444": [147, 408], "021591393": [147, 408], "0051535014": [147, 408], "005597769": [147, 408], "1935701e": [147, 408], "012731433": [147, 408], "0034208586": [147, 408], "024688572": [147, 408], "0018103895": [147, 408], "001299482": [147, 408], "005461315": [147, 408], "024878971": [147, 408], "030565593": [147, 408], "016717145": [147, 408], "013226474": [147, 408], "008764761": [147, 408], "007355798": [147, 408], "0070638508": [147, 408], "005734222": [147, 408], "012084072": [147, 408], "023749264": [147, 408], "028813912": [147, 408], "015892077": [147, 408], "0033573918": [147, 408], "0052201413": [147, 408], "01672984": [147, 408], "0014105488": [147, 408], "02184526": [147, 408], "019560456": [147, 408], "0063752364": [147, 408], "008777454": [147, 408], "00418246": [147, 408], "013861141": [147, 408], "012877407": [147, 408], "009500975": [147, 408], "005804036": [147, 408], "0013859555": [147, 408], "025335932": [147, 408], "01779608": [147, 408], "01537165": [147, 408], "0019722297": [147, 408], "011081297": [147, 408], "0073875315": [147, 408], "0015795291": [147, 408], "015968239": [147, 408], "013454954": [147, 408], "0026592575": [147, 408], "0020944031": [147, 408], "014140395": [147, 408], "0023339903": [147, 408], "0064989966": [147, 408], "0030828982": [147, 408], "0046870206": [147, 408], "013239168": [147, 408], "017491441": [147, 408], "011106684": [147, 408], "029702445": [147, 408], "003696939": [147, 408], "013784981": [147, 408], "017250266": [147, 408], "0037762725": [147, 408], "021413686": [147, 408], "017047172": [147, 408], "019268509": [147, 408], "006898837": [147, 408], "013924608": [147, 408], "009266147": [147, 408], "0023577902": [147, 408], "020905953": [147, 408], "005264568": [147, 408], "0014875022": [147, 408], "0064513967": [147, 408], "003044818": [147, 408], "0073431046": [147, 408], "0012431552": [147, 408], "0021166166": [147, 408], "0019404964": [147, 408], "018646536": [147, 408], "6913787e": [147, 408], "01518125": [147, 408], "0013581888": [147, 408], "016755225": [147, 408], "5418405e": [147, 408], "0076921717": [147, 408], "016780613": [147, 408], "56008e": [147, 408], "010948017": [147, 408], "956349e": [147, 408], "006108676": [147, 408], "011290737": [147, 408], "027443029": [147, 408], "008910734": [147, 408], "012858367": [147, 408], "016844079": [147, 408], "017592987": [147, 408], "01476237": [147, 408], "0039793663": [147, 408], "008066626": [147, 408], "0018421229": [147, 408], "03422128": [147, 408], "016526746": [147, 408], "022200674": [147, 408], "0010051549": [147, 408], "004474407": [147, 408], "6767073e": [147, 408], "007749292": [147, 408], "026249854": [147, 408], "006670357": [147, 408], "014775063": [147, 408], "02589444": [147, 408], "0023530303": [147, 408], "0066068904": [147, 408], "0067147836": [147, 408], "0012542619": [147, 408], "018671922": [147, 408], "0022498968": [147, 408], "0048552076": [147, 408], "0031463648": [147, 408], "0217691": [147, 408], "011849245": [147, 408], "0026735375": [147, 408], "011024177": [147, 408], "01733912": [147, 408], "0073621445": [147, 408], "012407753": [147, 408], "0032939252": [147, 408], "0072288644": [147, 408], "014457729": [147, 408], "0011781019": [147, 408], "009615215": [147, 408], "0141150085": [147, 408], "025376e": [147, 408], "04615303": [147, 408], "031631835": [147, 408], "005131288": [147, 408], "006594197": [147, 408], "025386706": [147, 408], "028204631": [147, 408], "023482703": [147, 408], "013086847": [147, 408], "022314915": [147, 408], "2082416e": [147, 408], "023457317": [147, 408], "006013476": [147, 408], "0125029525": [147, 408], "0021404168": [147, 408], "023977743": [147, 408], "0033542186": [147, 408], "029423192": [147, 408], "0019960299": [147, 408], "0076477453": [147, 408], "080113e": [147, 408], "030413274": [147, 408], "008790147": [147, 408], "013493034": [147, 408], "078089505": [147, 408], "004842514": [147, 408], "015232024": [147, 408], "00825068": [147, 408], "036785338": [147, 408], "335175e": [147, 408], "03891782": [147, 408], "004680674": [147, 408], "005451795": [147, 408], "012134845": [147, 408], "02490436": [147, 408], "007101931": [147, 408], "026351402": [147, 408], "0043093935": [147, 408], "0059595294": [147, 408], "024561638": [147, 408], "019331977": [147, 408], "02385081": [147, 408], "008206253": [147, 408], "015942851": [147, 408], "027138388": [147, 408], "01521933": [147, 408], "0043728603": [147, 408], "025500946": [147, 408], "026173694": [147, 408], "0011558884": [147, 408], "023381157": [147, 408], "0016207825": [147, 408], "001237602": [147, 408], "0049916613": [147, 408], "0024085636": [147, 408], "015587438": [147, 408], "0048203007": [147, 408], "35144e": [147, 408], "012255432": [147, 408], "0048742476": [147, 408], "0062546497": [147, 408], "04051718": [147, 408], "0051090745": [147, 408], "016932933": [147, 408], "0016660026": [147, 408], "02774767": [147, 408], "050976507": [147, 408], "03043866": [147, 408], "0028655245": [147, 408], "0023292303": [147, 408], "0104275895": [147, 408], "004360167": [147, 408], "011144764": [147, 408], "024282385": [147, 408], "013988075": [147, 408], "016234798": [147, 408], "014698903": [147, 408], "037673872": [147, 408], "0054644886": [147, 408], "020461684": [147, 408], "012598153": [147, 408], "012363326": [147, 408], "002833791": [147, 408], "0029274046": [147, 408], "01243314": [147, 408], "0037413659": [147, 408], "012820287": [147, 408], "0070511578": [147, 408], "017364508": [147, 408], "0025545373": [147, 408], "0034843255": [147, 408], "009773882": [147, 408], "0010368882": [147, 408], "009894469": [147, 408], "330013e": [147, 408], "008237986": [147, 408], "0013804021": [147, 408], "0035890455": [147, 408], "029194713": [147, 408], "022721102": [147, 408], "026605267": [147, 408], "011151111": [147, 408], "0054200618": [147, 408], "0043919003": [147, 408], "0022181633": [147, 408], "0025402573": [147, 408], "015562051": [147, 408], "021984888": [147, 408], "025145533": [147, 408], "008422039": [147, 408], "0032590183": [147, 408], "008130092": [147, 408], "0019309763": [147, 408], "009278841": [147, 408], "981743e": [147, 408], "04363975": [147, 408], "008510893": [147, 408], "011360551": [147, 408], "025069373": [147, 408], "004252273": [147, 408], "011132071": [147, 408], "020474378": [147, 408], "014889303": [147, 408], "01896387": [147, 408], "0075461986": [147, 408], "012096765": [147, 408], "030489434": [147, 408], "012166579": [147, 408], "032393437": [147, 408], "0035763523": [147, 408], "009018627": [147, 408], "007438305": [147, 408], "0064196633": [147, 408], "025056679": [147, 408], "012230045": [147, 408], "821482e": [147, 408], "0124839125": [147, 408], "0014454556": [147, 408], "012744127": [147, 408], "007159051": [147, 408], "010402203": [147, 408], "010053135": [147, 408], "0042808335": [147, 408], "0025307373": [147, 408], "004128513": [147, 408], "010890896": [147, 408], "025716733": [147, 408], "024155451": [147, 408], "04023793": [147, 408], "015257411": [147, 408], "0129154865": [147, 408], "013264554": [147, 408], "028636204": [147, 408], "023520783": [147, 408], "004890114": [147, 408], "008022199": [147, 408], "016184025": [147, 408], "051535014": [147, 408], "011792125": [147, 408], "009291534": [147, 408], "031707995": [147, 408], "039476328": [147, 408], "004699714": [147, 408], "014216555": [147, 408], "01480045": [147, 408], "0065053436": [147, 408], "0044997935": [147, 408], "021705633": [147, 408], "0904366e": [147, 408], "019585844": [147, 408], "0036842457": [147, 408], "455769e": [147, 408], "006727477": [147, 408], "0108718565": [147, 408], "0046076872": [147, 408], "0303625": [147, 408], "02967706": [147, 408], "026554495": [147, 408], "014825836": [147, 408], "009786575": [147, 408], "009285187": [147, 408], "020931339": [147, 408], "003630299": [147, 408], "004693367": [147, 408], "009589829": [147, 408], "013886528": [147, 408], "017694535": [147, 408], "027493803": [147, 408], "004982141": [147, 408], "0071717445": [147, 408], "03297733": [147, 408], "007571585": [147, 408], "006276863": [147, 408], "016069785": [147, 408], "0464047e": [147, 408], "0025450173": [147, 408], "015358957": [147, 408], "018494215": [147, 408], "7068556e": [147, 408], "027646123": [147, 408], "0011114617": [147, 408], "013429567": [147, 408], "007920653": [147, 408], "0050011813": [147, 408], "013543808": [147, 408], "014381569": [147, 408], "0047346205": [147, 408], "018798856": [147, 408], "019674698": [147, 408], "012629886": [147, 408], "029803993": [147, 408], "009862735": [147, 408], "0033732585": [147, 408], "013048767": [147, 408], "009456548": [147, 408], "03815622": [147, 408], "286778e": [147, 408], "0040301397": [147, 408], "014254635": [147, 408], "0038809928": [147, 408], "016666373": [147, 408], "6997105e": [147, 408], "017351814": [147, 408], "015549357": [147, 408], "02952474": [147, 408], "00431574": [147, 408], "009818309": [147, 408], "470635e": [147, 408], "011404978": [147, 408], "025082065": [147, 408], "021908727": [147, 408], "018951176": [147, 408], "022936888": [147, 408], "013658048": [147, 408], "004671154": [147, 408], "0296009": [147, 408], "0127949": [147, 408], "018341895": [147, 408], "6842424e": [147, 408], "01292818": [147, 408], "0036429923": [147, 408], "030083247": [147, 408], "00215311": [147, 408], "024206225": [147, 408], "02619908": [147, 408], "009837349": [147, 408], "010256229": [147, 408], "008168173": [147, 408], "0100340955": [147, 408], "013150314": [147, 408], "02188334": [147, 408], "010935323": [147, 408], "008371267": [147, 408], "00857436": [147, 408], "0036144322": [147, 408], "009697721": [147, 408], "007863532": [147, 408], "018100722": [147, 408], "019446217": [147, 408], "023495397": [147, 408], "0037032857": [147, 408], "009380388": [147, 408], "027265321": [147, 408], "007140011": [147, 408], "015193944": [147, 408], "004556914": [147, 408], "013632661": [147, 408], "0056358487": [147, 408], "01040855": [147, 408], "0050519546": [147, 408], "008155479": [147, 408], "9020106e": [147, 408], "032571144": [147, 408], "0048076073": [147, 408], "0060293428": [147, 408], "016031705": [147, 408], "021781793": [147, 408], "0015866691": [147, 408], "0016088824": [147, 408], "024752038": [147, 408], "0019547765": [147, 408], "012369673": [147, 408], "015320877": [147, 408], "012706046": [147, 408], "009082094": [147, 408], "010249883": [147, 408], "019128883": [147, 408], "02543748": [147, 408], "0084982": [147, 408], "0032970984": [147, 408], "012991647": [147, 408], "022479929": [147, 408], "02316537": [147, 408], "0012312552": [147, 408], "0042840065": [147, 408], "018227655": [147, 408], "005731049": [147, 408], "02604676": [147, 408], "006689397": [147, 408], "006305423": [147, 408], "018075334": [147, 408], "019484296": [147, 408], "01783416": [147, 408], "0012130085": [147, 408], "015866691": [147, 408], "020626698": [147, 408], "039882515": [147, 408], "008682254": [147, 408], "0022546567": [147, 408], "009323268": [147, 408], "035871416": [147, 408], "014330796": [147, 408], "0145465825": [147, 408], "023216143": [147, 408], "011531911": [147, 408], "020372832": [147, 408], "00641649": [147, 408], "013531114": [147, 408], "016437892": [147, 408], "013124927": [147, 408], "019814324": [147, 408], "0015136823": [147, 408], "016247492": [147, 408], "004753661": [147, 408], "013823061": [147, 408], "007907959": [147, 408], "027113002": [147, 408], "009932549": [147, 408], "009659641": [147, 408], "0044807536": [147, 408], "009850042": [147, 408], "014191168": [147, 408], "042954307": [147, 408], "024701266": [147, 408], "01059895": [147, 408], "0047885673": [147, 408], "021629473": [147, 408], "006651317": [147, 408], "031098714": [147, 408], "0058262493": [147, 408], "0051249415": [147, 408], "0065180366": [147, 408], "0519563e": [147, 408], "009792922": [147, 408], "0423958": [147, 408], "010992444": [147, 408], "008739374": [147, 408], "002449817": [147, 408], "012045992": [147, 408], "014089622": [147, 408], "0018310162": [147, 408], "014406956": [147, 408], "033180423": [147, 408], "0052709146": [147, 408], "0016802826": [147, 408], "012750473": [147, 408], "018329201": [147, 408], "005750089": [147, 408], "048234742": [147, 408], "01771992": [147, 408], "009240761": [147, 408], "789961e": [147, 408], "017669147": [147, 408], "01730104": [147, 408], "0026529108": [147, 408], "022543395": [147, 408], "017288346": [147, 408], "007971426": [147, 408], "019065415": [147, 408], "007857186": [147, 408], "0481933e": [147, 408], "016488666": [147, 408], "709636e": [147, 408], "009348654": [147, 408], "0049281945": [147, 408], "0059436625": [147, 408], "020956725": [147, 408], "003538272": [147, 408], "0038905127": [147, 408], "0016485492": [147, 408], "0044141137": [147, 408], "01271874": [147, 408], "01483853": [147, 408], "01245218": [147, 408], "0023657237": [147, 408], "0037794458": [147, 408], "5497736e": [147, 408], "00882188": [147, 408], "015815917": [147, 408], "016767919": [147, 408], "005185235": [147, 408], "018049948": [147, 408], "007685825": [147, 408], "21934114": [147, 408], "012007912": [147, 408], "005039261": [147, 408], "037445392": [147, 408], "4307736e": [147, 408], "031403355": [147, 408], "0018468829": [147, 408], "0024656837": [147, 408], "01722488": [147, 408], "013213781": [147, 408], "011512871": [147, 408], "0015811158": [147, 408], "0035287521": [147, 408], "0062419563": [147, 408], "0048456877": [147, 408], "025120145": [147, 408], "023800036": [147, 408], "0269697e": [147, 408], "03554139": [147, 408], "01071319": [147, 408], "2110125e": [147, 408], "017313734": [147, 408], "03777542": [147, 408], "0019944431": [147, 408], "04402055": [147, 408], "02442201": [147, 408], "018976564": [147, 408], "005873849": [147, 408], "006924224": [147, 408], "003865126": [147, 408], "0057437425": [147, 408], "0038206992": [147, 408], "013163007": [147, 408], "01646328": [147, 408], "02446009": [147, 408], "018748082": [147, 408], "027239935": [147, 408], "0032479118": [147, 408], "03653147": [147, 408], "015206637": [147, 408], "018773468": [147, 408], "00643553": [147, 408], "010141989": [147, 408], "009183641": [147, 408], "02025859": [147, 408], "019852404": [147, 408], "006054729": [147, 408], "010630683": [147, 408], "009481935": [147, 408], "059881e": [147, 408], "03005786": [147, 408], "014851223": [147, 408], "014280022": [147, 408], "003274885": [147, 408], "0014168955": [147, 408], "025005905": [147, 408], "9089613e": [147, 408], "022302222": [147, 408], "008999587": [147, 408], "010097562": [147, 408], "024942439": [147, 408], "012807593": [147, 408], "019547764": [147, 408], "034957495": [147, 408], "026833748": [147, 408], "7683392e": [147, 408], "0068417173": [147, 408], "011182844": [147, 408], "016907547": [147, 408], "03013402": [147, 408], "0041062995": [147, 408], "014571969": [147, 408], "02070286": [147, 408], "011335164": [147, 408], "012725086": [147, 408], "8341785e": [147, 408], "0013653288": [147, 408], "017859548": [147, 408], "0056802756": [147, 408], "006556117": [147, 408], "0033002717": [147, 408], "011398631": [147, 408], "010954363": [147, 408], "055139925": [147, 408], "009424815": [147, 408], "004959928": [147, 408], "028788524": [147, 408], "0031241516": [147, 408], "0027465243": [147, 408], "036810722": [147, 408], "0031828582": [147, 408], "005543822": [147, 408], "0026053106": [147, 408], "6973375e": [147, 408], "017935708": [147, 408], "0015406557": [147, 408], "0023911104": [147, 408], "016945627": [147, 408], "0035636588": [147, 408], "02396505": [147, 408], "01911619": [147, 408], "0029448578": [147, 408], "033408906": [147, 408], "020550538": [147, 408], "01294722": [147, 408], "011500178": [147, 408], "011988872": [147, 408], "025424786": [147, 408], "011887325": [147, 408], "038587794": [147, 408], "003395472": [147, 408], "007946039": [147, 408], "019966645": [147, 408], "033713546": [147, 408], "018189576": [147, 408], "026859134": [147, 408], "012223699": [147, 408], "024802811": [147, 408], "099946e": [147, 408], "0010448216": [147, 408], "005020221": [147, 408], "012356979": [147, 408], "007590625": [147, 408], "03089562": [147, 408], "014521196": [147, 408], "017212186": [147, 408], "024917051": [147, 408], "020169739": [147, 408], "044680603": [147, 408], "005658062": [147, 408], "013835755": [147, 408], "3776127e": [147, 408], "0028496578": [147, 408], "006467263": [147, 408], "053007443": [147, 408], "011614418": [147, 408], "0056453687": [147, 408], "16145945": [147, 408], "0091963345": [147, 408], "024548944": [147, 408], "016425198": [147, 408], "015701678": [147, 408], "862344e": [147, 408], "023190755": [147, 408], "0074509983": [147, 408], "018088028": [147, 408], "010205456": [147, 408], "010383163": [147, 408], "033028103": [147, 408], "0023324036": [147, 408], "019052723": [147, 408], "016590212": [147, 408], "4408938e": [147, 408], "02324153": [147, 408], "019623924": [147, 408], "0383847": [147, 408], "002686231": [147, 408], "0010852817": [147, 408], "0076223584": [147, 408], "002762391": [147, 408], "030540207": [147, 408], "0037667525": [147, 408], "011005137": [147, 408], "0017850028": [147, 408], "005984916": [147, 408], "0029353378": [147, 408], "02555172": [147, 408], "00855532": [147, 408], "010287963": [147, 408], "2544602e": [147, 408], "0065624635": [147, 408], "017808774": [147, 408], "03528752": [147, 408], "013188394": [147, 408], "027925376": [147, 408], "0014248289": [147, 408], "009342308": [147, 408], "0017247093": [147, 408], "023596942": [147, 408], "004709234": [147, 408], "037369233": [147, 408], "016082479": [147, 408], "0011963486": [147, 408], "00222451": [147, 408], "014165782": [147, 408], "0014414889": [147, 408], "0058865426": [147, 408], "2633766e": [147, 408], "012274472": [147, 408], "011328817": [147, 408], "0020372833": [147, 408], "0013026553": [147, 408], "00635937": [147, 408], "00651169": [147, 408], "0024672705": [147, 408], "0026640175": [147, 408], "0033669118": [147, 408], "0074763848": [147, 408], "311968e": [147, 408], "023444623": [147, 408], "017656455": [147, 408], "0065243836": [147, 408], "021832567": [147, 408], "02320345": [147, 408], "015092397": [147, 408], "034119733": [147, 408], "025983294": [147, 408], "021324834": [147, 408], "015663598": [147, 408], "00417294": [147, 408], "014965463": [147, 408], "014203862": [147, 408], "0074319583": [147, 408], "007381185": [147, 408], "0035446188": [147, 408], "009310574": [147, 408], "02562788": [147, 408], "01101783": [147, 408], "009050361": [147, 408], "010484709": [147, 408], "005835769": [147, 408], "0036620323": [147, 408], "0055565154": [147, 408], "028712364": [147, 408], "033586614": [147, 408], "027087616": [147, 408], "019509684": [147, 408], "005166195": [147, 408], "020042805": [147, 408], "019903177": [147, 408], "010738577": [147, 408], "038816273": [147, 408], "014990849": [147, 408], "025412092": [147, 408], "030464048": [147, 408], "009158255": [147, 408], "046609994": [147, 408], "9095457e": [147, 408], "0016675893": [147, 408], "012921833": [147, 408], "2828116e": [147, 408], "0033288319": [147, 408], "10784273": [147, 408], "022898808": [147, 408], "020563232": [147, 408], "020487072": [147, 408], "0063117696": [147, 408], "005299475": [147, 408], "013442261": [147, 408], "0112590045": [147, 408], "015282797": [147, 408], "013581888": [147, 408], "023723876": [147, 408], "00847916": [147, 408], "025221692": [147, 408], "028686978": [147, 408], "8655227e": [147, 408], "005169368": [147, 408], "0765446e": [147, 408], "011436711": [147, 408], "004963101": [147, 408], "0067592105": [147, 408], "007527158": [147, 408], "029854767": [147, 408], "0072098244": [147, 408], "011246311": [147, 408], "009945242": [147, 408], "017326428": [147, 408], "004052353": [147, 408], "011684231": [147, 408], "311375e": [147, 408], "026986068": [147, 408], "012801247": [147, 408], "0023815904": [147, 408], "047600072": [147, 408], "006886144": [147, 408], "004464887": [147, 408], "9809546e": [147, 408], "018684616": [147, 408], "022924196": [147, 408], "0070575043": [147, 408], "0037730993": [147, 408], "025830973": [147, 408], "029651672": [147, 408], "0046140337": [147, 408], "041710358": [147, 408], "0058960626": [147, 408], "0018706829": [147, 408], "0065878504": [147, 408], "0067338236": [147, 408], "0011431951": [147, 408], "020233205": [147, 408], "008218946": [147, 408], "015930157": [147, 408], "0024022171": [147, 408], "0051439814": [147, 408], "0120777255": [147, 408], "00895516": [147, 408], "010116602": [147, 408], "038638566": [147, 408], "0056231553": [147, 408], "840722e": [147, 408], "009754842": [147, 408], "0074256114": [147, 408], "0011773085": [147, 408], "7314436e": [147, 408], "02014435": [147, 408], "010186416": [147, 408], "0067211306": [147, 408], "015828611": [147, 408], "0043665133": [147, 408], "0112526575": [147, 408], "031073328": [147, 408], "018126108": [147, 408], "014432343": [147, 408], "0021118566": [147, 408], "017389894": [147, 408], "023635022": [147, 408], "0062736897": [147, 408], "040187154": [147, 408], "006905184": [147, 408], "0068163304": [147, 408], "0087838005": [147, 408], "010072175": [147, 408], "00832684": [147, 408], "01061799": [147, 408], "01268066": [147, 408], "0137088215": [147, 408], "007926999": [147, 408], "01711064": [147, 408], "00885996": [147, 408], "015422424": [147, 408], "0052011013": [147, 408], "022327607": [147, 408], "0092280675": [147, 408], "022251448": [147, 408], "0045251804": [147, 408], "5886433e": [147, 408], "020360138": [147, 408], "021870647": [147, 408], "013251861": [147, 408], "027595349": [147, 408], "01094167": [147, 408], "011550951": [147, 408], "0033034452": [147, 408], "026072146": [147, 408], "030032473": [147, 408], "00411582": [147, 408], "012185619": [147, 408], "0096215615": [147, 408], "002618004": [147, 408], "006575157": [147, 408], "03675995": [147, 408], "010986097": [147, 408], "023673104": [147, 408], "011900018": [147, 408], "016044399": [147, 408], "0040206197": [147, 408], "018722696": [147, 408], "0038873393": [147, 408], "011163804": [147, 408], "01919235": [147, 408], "015790531": [147, 408], "0013692954": [147, 408], "011836552": [147, 408], "005096381": [147, 408], "031200262": [147, 408], "0358968": [147, 408], "009126521": [147, 408], "013696128": [147, 408], "014711596": [147, 408], "018608455": [147, 408], "03922246": [147, 408], "0179484": [147, 408], "0069178776": [147, 408], "010909937": [147, 408], "013569194": [147, 408], "019839711": [147, 408], "024447398": [147, 408], "01086551": [147, 408], "010294309": [147, 408], "024726652": [147, 408], "016679065": [147, 408], "0013145554": [147, 408], "004617207": [147, 408], "004690194": [147, 408], "013315327": [147, 408], "0112653505": [147, 408], "0016009491": [147, 408], "003998406": [147, 408], "025272466": [147, 408], "0030051514": [147, 408], "007869879": [147, 408], "031251036": [147, 408], "005375635": [147, 408], "0046203807": [147, 408], "0030099114": [147, 408], "0071273176": [147, 408], "012020606": [147, 408], "016285572": [147, 408], "033865865": [147, 408], "04290353": [147, 408], "009107481": [147, 408], "007400225": [147, 408], "018253041": [147, 408], "016704453": [147, 408], "003957153": [147, 408], "022644943": [147, 408], "0074446513": [147, 408], "012122152": [147, 408], "0013796088": [147, 408], "019014644": [147, 408], "026909908": [147, 408], "003035298": [147, 408], "012153885": [147, 408], "020499766": [147, 408], "006010303": [147, 408], "004026966": [147, 408], "3466855e": [147, 408], "001078935": [147, 408], "0051725414": [147, 408], "0014906756": [147, 408], "009526362": [147, 408], "016310958": [147, 408], "010357776": [147, 408], "0145338895": [147, 408], "015993625": [147, 408], "025259772": [147, 408], "036937658": [147, 408], "0044014202": [147, 408], "008713987": [147, 408], "003931766": [147, 408], "0053597684": [147, 408], "02797615": [147, 408], "020093577": [147, 408], "004550567": [147, 408], "024434704": [147, 408], "0029956312": [147, 408], "6632223e": [147, 408], "51248e": [147, 408], "028915457": [147, 408], "023470009": [147, 408], "008675907": [147, 408], "014013462": [147, 408], "0031527115": [147, 408], "0018865496": [147, 408], "0033986452": [147, 408], "040974144": [147, 408], "002589444": [147, 408], "0018516429": [147, 408], "049504075": [147, 408], "00884092": [147, 408], "004541047": [147, 408], "014076929": [147, 408], "015473197": [147, 408], "0027211376": [147, 408], "031327195": [147, 408], "041126464": [147, 408], "018595763": [147, 408], "0104593225": [147, 408], "01938275": [147, 408], "0027592175": [147, 408], "setenableoutputlog": [148, 150, 235, 410, 496, 524], "setevaluationlogextend": [148, 150, 410], "setoutputlogspath": [148, 150, 153, 155, 235, 410, 416, 496, 524], "assum": [150, 410], "getniter": [151, 152, 195, 196, 413, 457], "niter": [151, 152, 195, 196, 413, 457], "poscol": [151, 152, 195, 196, 253, 413, 457, 514], "setiter": [151, 152, 413], "setposcolumn": [151, 152, 195, 196, 413, 457], "member": [152, 241, 413, 503], "helper": [152, 162, 196, 204, 227, 255, 256, 257, 262, 413, 422, 457, 464, 488, 517, 518, 519, 531, 534], "datasetpath": [152, 413], "pierr": [152, 255, 413, 517], "vinken": [152, 255, 413, 517], "34": [152, 255, 257, 413, 517, 519], "md": [152, 244, 251, 255, 413, 513, 517], "vb": [152, 253, 255, 413, 514, 517, 534], "41": [152, 154, 255, 257, 413, 415, 517, 519], "43": [152, 154, 255, 257, 413, 415, 517, 519], "dt": [152, 255, 256, 413, 517, 518, 534], "49": [152, 255, 413, 517], "anc": [152, 255, 413, 517, 534], "trainingperceptrondf": [152, 413], "trainedpo": [152, 413], "cd": [152, 253, 255, 413, 514, 517], "pos_anc": [152, 413], "25": [152, 154, 255, 257, 413, 415, 517, 519], "33": [152, 246, 257, 413, 508, 519], "detectlist": [153, 154, 415], "setcustombound": [153, 154, 155, 415, 416], "setcustomboundsstrategi": [153, 154, 415], "setdetectlist": [153, 154, 415], "setexplodesent": [153, 154, 155, 415, 416], "setsplitlength": [153, 154, 155, 415, 416], "setuseabbrevi": [153, 154, 415], "setusecustomboundsonli": [153, 154, 155, 415, 416], "custombound": [153, 154, 155, 415, 416], "customboundsstrategi": [153, 154, 415], "explodesent": [153, 154, 155, 253, 254, 415, 416, 514, 515], "splitlength": [153, 154, 155, 415, 416], "useabbrevi": [153, 154, 415], "usecustomboundsonli": [153, 154, 155, 415, 416], "epochsnumb": [153, 155, 416], "impossiblepenultim": [153, 155, 416], "modelarchitectur": [153, 155, 416], "setepochsnumb": [153, 155, 416], "setimpossiblepenultim": [153, 155, 416], "ii": [154, 415], "abbrevi": [154, 415], "period": [154, 415], "geo": [154, 415], "1026": [154, 415], "253": [154, 415], "553": [154, 415], "ellipsi": [154, 415], "quotat": [154, 415], "mark": [154, 155, 196, 415, 416, 457], "exclam": [154, 415], "breaker": [154, 415], "pragmaticcontentformatt": [154, 415], "explicitli": [154, 155, 187, 227, 415, 416, 448, 488, 528], "prepend": [154, 199, 415, 459], "break": [154, 172, 237, 238, 239, 415, 433, 499, 500], "append": [154, 183, 238, 415, 443, 500, 528], "forcibli": [154, 155, 415, 416], "99999": [154, 155, 193, 415, 416, 454], "nhow": [154, 415], "third": [154, 187, 234, 253, 262, 415, 448, 497, 514], "sentencedetectordl": [155, 170, 319, 416, 431], "imposs": [155, 196, 416, 457], "penultim": [155, 416], "eo": [155, 416], "stefan": [155, 416], "schweter": [155, 416], "sajawel": [155, 416], "ahm": [155, 416], "broken": [155, 237, 238, 416, 499], "moder": [155, 416], "lack": [155, 416], "easier": [155, 202, 416, 462, 530, 534], "polit": [155, 416], "successor": [155, 416], "great": [155, 416], "heritag": [155, 178, 416, 439], "bequeath": [155, 416], "nelson": [155, 416], "mandela": [155, 416], "epochs_numb": [155, 416], "impossible_penultim": [155, 416], "model_architectur": [155, 416], "output_logs_path": [155, 416], "validation_split": [155, 416], "sentencedl": [155, 416], "sentencesdl": [155, 416], "helen": [155, 416], "peopl": [155, 416], "decrementmultipli": [156, 157, 418], "enablescor": [156, 157, 418], "incrementmultipli": [156, 157, 418], "negativemultipli": [156, 157, 418], "positivemultipli": [156, 157, 418], "reversemultipli": [156, 157, 418], "featurelimit": [156, 158, 419], "importantfeatureratio": [156, 158, 419], "prunecorpu": [156, 158, 419], "sentimentcol": [156, 158, 419], "setprunecorpu": [156, 158, 419], "setsentimentcol": [156, 158, 419], "unimportantfeaturestep": [156, 158, 419], "els": [157, 210, 418, 471], "cool": [157, 418], "superb": [157, 418], "uninspir": [157, 418], "sentimentscor": [157, 418], "nice": [157, 235, 418, 496, 524], "multipli": 157, "decrement": 157, "increment": [157, 192, 453], "revert": 157, "entri": [157, 200, 209, 242, 418, 460, 470, 504], "sttr": [157, 418], "sda": [157, 158, 384, 418, 419], "pragmat": [157, 418], "viveknsenti": [158, 419], "analys": [158, 419], "vivek": [158, 419], "narayanan": [158, 419], "give": [158, 419], "transit": [158, 183, 419, 443], "unfrequ": [158, 419], "scope": [158, 419], "naiv": [158, 419], "bay": [158, 419], "vivekn": [158, 419], "train_senti": [158, 419], "result_senti": [158, 419], "final_senti": [158, 419], "cast": [158, 198, 419, 458], "horribl": [158, 419], "go": [158, 419, 528], "anyon": [158, 419], "protagonist": [158, 419], "music": [158, 419], "boost": 158, "dirt": 158, "lookahead": 158, "unimport": 158, "sentiment_vivekn": [158, 419], "getqueri": [159, 161, 421], "setqueri": [159, 161, 203, 421, 463], "setcach": [159, 163, 423], "usecach": [159, 163, 179, 423, 440], "setsrclang": [159, 169, 172, 430, 433], "settgtlang": [159, 169, 172, 430, 433], "srclang": [159, 169, 172, 430, 433], "tgtlang": [159, 169, 172, 430, 433], "langid": [159, 170, 319, 431], "setlangid": [159, 170, 431], "setmaxinputlength": [159, 170, 319, 431], "maxnewtoken": [159, 179, 440], "setmaxnewtoken": [159, 179, 440], "setstopateo": [159, 179, 440], "setusecach": [159, 179, 440], "stopateo": [159, 179, 440], "settabl": [160, 161, 162, 420, 421, 422], "explan": [160, 161, 162, 183, 420, 421, 422, 443, 531], "phi_4_mini_instruct_q4_k_m_gguf": [160, 420], "autoggufmodeltest": [160, 420], "nthreadsdraft": [160, 161, 162, 420, 421, 422], "draft": [160, 161, 162, 222, 420, 421, 422, 483], "nthreadsbatchdraft": [160, 161, 162, 420, 421, 422], "ndraft": [160, 162, 214, 222, 420, 422, 483], "specul": [160, 161, 162, 222, 420, 421, 422, 483], "psplit": [160, 162, 420, 422], "ngpulayersdraft": [160, 161, 162, 214, 222, 420, 421, 422, 483], "modeldraft": [160, 161, 162, 214, 222, 420, 421, 422, 483], "modelalia": [160, 161, 162, 214, 222, 420, 421, 422, 483], "lookupcachestaticfilepath": [160, 161, 162, 420, 421, 422], "updat": [160, 161, 162, 183, 420, 421, 422, 443], "lookupcachedynamicfilepath": [160, 161, 162, 420, 421, 422], "inputprefixbo": [160, 161, 162, 420, 421, 422], "preced": [160, 161, 162, 420, 421, 422, 528], "systemprompt": [160, 161, 162, 214, 222, 420, 421, 422, 483], "chattempl": [160, 161, 162, 197, 210, 214, 222, 420, 421, 422, 471, 483], "chat": [160, 161, 162, 165, 167, 168, 171, 174, 175, 177, 210, 222, 420, 421, 422, 425, 428, 429, 432, 435, 436, 438, 471, 483], "templat": [160, 161, 162, 210, 222, 248, 250, 420, 421, 422, 471, 483, 510, 512], "inputprefix": [160, 161, 162, 214, 222, 420, 421, 422, 483], "inputsuffix": [160, 161, 162, 214, 222, 420, 421, 422, 483], "infil": [160, 161, 162, 222, 420, 421, 422, 483], "cacheprompt": [160, 161, 162, 214, 222, 420, 421, 422, 483], "rememb": [160, 161, 162, 183, 222, 420, 421, 422, 443, 483], "reprocess": [160, 161, 162, 222, 420, 421, 422, 483], "npredict": [160, 161, 162, 214, 222, 420, 421, 422, 483], "minp": [160, 161, 162, 214, 222, 420, 421, 422, 483], "min": [160, 161, 162, 183, 203, 222, 420, 421, 422, 443, 463, 483], "tfsz": [160, 161, 162, 214, 222, 420, 421, 422, 483], "tail": [160, 161, 162, 222, 420, 421, 422, 483], "typicalp": [160, 161, 162, 214, 222, 420, 421, 422, 483], "typic": [160, 161, 162, 166, 222, 239, 420, 421, 422, 426, 483, 501], "dynatemprang": [160, 161, 162, 222, 420, 421, 422], "dynatempexpon": [160, 161, 162, 222, 420, 421, 422], "expon": [160, 161, 162, 222, 420, 421, 422, 483], "repeatlastn": [160, 161, 162, 214, 222, 420, 421, 422, 483], "repeatpenalti": [160, 161, 162, 214, 222, 420, 421, 422, 483], "mirostat": [160, 161, 162, 214, 222, 420, 421, 422, 483], "mirostattau": [160, 161, 162, 214, 222, 420, 421, 422, 483], "entropi": [160, 161, 162, 222, 420, 421, 422, 483], "tau": [160, 161, 162, 222, 420, 421, 422, 483], "mirostateta": [160, 161, 162, 214, 222, 420, 421, 422, 483], "eta": [160, 161, 162, 222, 420, 421, 422, 483], "penalizenl": [160, 161, 162, 214, 222, 420, 421, 422, 483], "newlin": [160, 161, 162, 183, 222, 420, 421, 422, 443, 483], "nkeep": [160, 161, 162, 214, 222, 420, 421, 422, 483], "rng": [160, 161, 162, 222, 420, 421, 422, 483], "nprob": [160, 161, 162, 214, 222, 420, 421, 422, 483], "minkeep": [160, 161, 162, 214, 222, 420, 421, 422, 483], "sampler": [160, 161, 162, 214, 222, 420, 421, 422, 483], "bnf": [160, 161, 162, 222, 420, 421, 422, 483], "penaltyprompt": [160, 161, 162, 214, 222, 420, 421, 422, 483], "ignoreeo": [160, 161, 162, 214, 222, 420, 421, 422, 483], "impli": [160, 161, 162, 222, 420, 421, 422, 483], "inf": [160, 161, 162, 222, 420, 421, 422, 483], "disabletokenid": [160, 161, 162, 214, 222, 420, 421, 422, 483], "stopstr": [160, 161, 162, 214, 222, 420, 421, 422, 483], "usechattempl": [160, 161, 162, 214, 222, 420, 421, 422, 483], "setnpredict": [160, 162, 214, 222, 420, 422, 483], "setpenalizenl": [160, 162, 214, 222, 420, 422, 483], "78": [160, 175, 255, 420, 436, 517], "gguf": [160, 161, 420, 421], "rerank": [161, 203, 222, 421, 463, 483], "relevance_scor": [161, 421], "reranked_docu": [161, 203, 421, 463], "pasta": [161, 203, 421, 463], "bge_reranker_v2_m3_q4_k_m": [161, 421], "autoggufrerankertest": [161, 421], "intent": [161, 174, 211, 421, 435, 472], "piec": [161, 193, 203, 421, 454, 463], "bread": [161, 203, 257, 421, 463, 519], "girl": [161, 203, 421, 463], "babi": [161, 162, 203, 421, 422, 463], "ride": [161, 203, 421, 463], "chain": [161, 250, 421, 512], "ingest": [162, 250, 422, 512], "At": [162, 210, 237, 422, 471, 499, 529], "hasllamacppinferenceproperti": [162, 422], "hasllamacppmodelproperti": [162, 422], "preprocess": [162, 235, 237, 422, 496, 499, 524], "loadimagesasbyt": [162, 197, 207, 422, 467], "5_vl_3b_instruct_q4_k_m_gguf": [162, 422], "autoggufvisionmodeltest": [162, 422], "caption_docu": [162, 422], "imagespath": [162, 422], "setminkeep": [162, 214, 222, 422, 483], "setminp": [162, 214, 222, 422, 483], "setnprob": [162, 214, 222, 422, 483], "setrepeatlastn": [162, 214, 222, 422, 483], "setrepeatpenalti": [162, 214, 222, 422, 483], "setstopstr": [162, 214, 222, 422, 483], "settfsz": [162, 214, 222, 422, 483], "settypicalp": [162, 214, 222, 422, 483], "depict": [162, 422], "ornat": [162, 422], "ceil": [162, 422], "decor": [162, 422], "wall": [162, 422], "chair": [162, 422], "throughout": [162, 422], "cushion": [162, 422], "surfac": [162, 422], "possibli": [162, 422], "bed": [162, 422], "sofa": [162, 422], "scene": [162, 422], "sleep": [162, 422], "hold": [162, 208, 422, 469, 532], "swim": [162, 422], "aquarium": [162, 422], "seem": [162, 422], "adult": [162, 422], "young": [162, 422], "gather": [162, 241, 422, 503], "neck": [162, 422], "grass": [162, 422], "speci": [162, 422], "held": [162, 422], "black": [162, 422], "white": [162, 183, 422, 443], "chest": [162, 422], "someth": [162, 422], "anim": [162, 422], "vicin": [162, 422], "collar": [162, 422], "stare": [162, 422], "front": [162, 422], "owner": [162, 422], "comfort": [162, 422], "seat": [162, 422], "yellow": [162, 422], "wheel": [162, 422], "tire": [162, 422], "park": [162, 422], "bull": [162, 422], "horn": [162, 422], "modelpath": [162, 422], "mmprojpath": [162, 422], "captur": [163, 181, 423, 441], "past": [163, 170, 242, 319, 423, 431, 504], "incorpor": [163, 175, 423, 436], "versatil": [163, 171, 178, 423, 432, 439], "valuabl": [163, 178, 423, 439], "summari": [163, 165, 166, 167, 169, 171, 172, 173, 174, 175, 177, 179, 423, 425, 426, 428, 430, 432, 433, 434, 435, 436, 438, 440], "distilbart_xsum_12_6": [163, 423], "barttestspec": [163, 423], "ab": [163, 423], "1910": [163, 423], "13461": [163, 423], "pytorch": [163, 169, 172, 423, 430, 433], "fairseq": [163, 169, 172, 423, 430, 433], "nois": [163, 423], "reconstruct": [163, 213, 423, 474], "tranform": [163, 423], "randomli": [163, 423], "dialogu": [163, 167, 168, 174, 423, 428, 429, 435], "roug": [163, 423], "bleu": [163, 169, 172, 423, 430, 433], "ablat": [163, 423], "influenc": [163, 183, 423, 443], "rich": [163, 179, 423, 440], "rise": [163, 179, 423, 440], "methodologi": [163, 179, 423, 440], "landscap": [163, 179, 423, 440], "systemat": [163, 179, 423, 440], "dozen": [163, 179, 423, 440], "insight": [163, 179, 423, 440], "coloss": [163, 179, 423, 440], "facilit": [163, 179, 423, 440], "use_cach": [163, 423], "command": [164, 424], "c4ai": [164, 424], "highli": [164, 177, 424, 438], "rag": [164, 181, 424, 441], "c4ai_command_r_v01_int4": [164, 424], "bos_token": [164, 210, 424, 471], "start_of_turn_token": [164, 424], "user_token": [164, 424], "end_of_turn_token": [164, 424], "chatbot_token": [164, 424], "excit": [164, 167, 424, 428], "whatev": [164, 424], "minicpm": [165, 425], "unveil": [165, 425], "2b": [165, 425], "4b": [165, 177, 425, 438], "mistral": [165, 171, 425, 432], "7b": [165, 167, 171, 173, 174, 175, 177, 178, 425, 428, 432, 434, 435, 436, 438, 439], "llama2": [165, 167, 425, 428], "13b": [165, 167, 171, 177, 178, 425, 428, 432, 438, 439], "mpt": [165, 425], "30b": [165, 425], "falcon": [165, 425], "40b": [165, 425], "mtbench": [165, 425], "closest": [165, 425], "70b": [165, 167, 168, 425, 428, 429], "vicuna": [165, 425], "33b": [165, 178, 425, 439], "v0": [165, 171, 425, 432], "zephyr": [165, 425], "dpo": [165, 425], "multimodel": [165, 425], "phi": [165, 174, 175, 176, 425, 435, 436, 437], "6b": [165, 425], "qwen": [165, 177, 425, 438], "vl": [165, 425], "deploi": [165, 170, 175, 319, 425, 431, 436, 525], "smartphon": [165, 425], "verbal": [165, 425], "cpm": [165, 425], "mini_cpm_2b_8bit": [165, 425], "shengdinghu": [165, 425], "notion": [165, 425], "d4d3a8c426424654a4e80e42a711cb20": [165, 425], "openbmb": [165, 425], "leonardo": [165, 166, 167, 171, 173, 174, 175, 177, 425, 426, 428, 432, 434, 435, 436, 438], "student": [165, 173, 174, 175, 177, 425, 434, 435, 436, 438], "california": [165, 173, 174, 175, 177, 425, 434, 435, 436, 438], "lo": [165, 425], "passion": [165, 173, 174, 175, 177, 425, 434, 435, 436, 438], "cultur": [165, 425], "plai": [165, 425], "basketbal": [165, 425], "caus": [166, 193, 426, 454], "goal": [166, 172, 196, 426, 433, 457], "direct": [166, 169, 172, 175, 426, 430, 433, 436], "10x": [166, 426], "synthet": [166, 174, 175, 426, 435, 436], "unpreced": [166, 426], "prime": [166, 426], "lengthi": [166, 426], "benefit": [166, 426], "suffici": [166, 426], "learner": [166, 426], "taskspecif": [166, 426], "webpag": [166, 237, 426, 499, 525], "webtext": [166, 426], "coqa": [166, 426], "exceed": [166, 168, 426, 429], "127": [166, 426], "fashion": [166, 181, 426, 441], "5b": [166, 177, 426, 438], "underfit": [166, 426], "reflect": [166, 169, 426, 430], "paragraph": [166, 183, 237, 238, 251, 426, 443, 499, 513], "promis": [166, 426], "1776": [166, 167, 426, 428], "came": [166, 167, 426, 428], "kingdom": [166, 167, 426, 428], "4k": [167, 175, 428, 436], "reinforc": [167, 168, 174, 177, 428, 429, 435, 438], "feedback": [167, 168, 174, 177, 428, 429, 435, 438], "rlhf": [167, 168, 177, 428, 429, 438], "safeti": [167, 168, 172, 174, 175, 428, 429, 433, 435, 436], "chatgpt": [167, 428], "llam2": [167, 174, 428, 435], "facebookresearch": [167, 168, 428, 429], "substitut": [167, 174, 428, 435], "llama_2_7b_chat_hf_int4": [167, 428], "cut": [168, 210, 429, 471], "8b": [168, 177, 429, 438], "expans": [168, 429], "offer": [168, 171, 173, 429, 432, 434, 528, 530, 533], "known": [168, 429], "llama3": [168, 429], "llama_3_7b_instruct_hf_int4": [168, 429], "latest": [168, 429], "meta": [168, 235, 429, 496, 526], "commerci": [168, 170, 173, 319, 429, 431, 434], "aim": [168, 172, 181, 429, 433, 441], "foster": [168, 429], "collabor": [168, 178, 429, 439], "minion": [168, 429], "chatbot": [168, 429], "respond": [168, 210, 429, 471], "speak": [168, 429], "oooh": [168, 429], "yeah": [168, 429], "bana": [168, 429], "na": [168, 429], "m2m100": [169, 430], "seq": [169, 172, 430, 433], "900": [169, 430], "m2m100_418m": [169, 430], "beyond": [169, 172, 430, 433], "worldwid": [169, 430], "spars": [169, 172, 430, 433], "focu": [169, 172, 175, 430, 433, 436], "wmt": [169, 430], "m2m": [169, 430], "\u751f\u6d3b\u5c31\u50cf\u4e00\u76d2\u5de7\u514b\u529b": [169, 172, 430, 433], "life": [169, 172, 430, 433], "chocol": [169, 172, 430, 433], "marian": [170, 319, 431], "mainli": [170, 319, 431], "academ": [170, 175, 319, 431, 436], "notabl": [170, 171, 319, 431, 432], "edinburgh": [170, 319, 431], "adam": [170, 319, 431], "mickiewicz": [170, 319, 431], "pozna\u0144": [170, 319, 431], "contributor": [170, 319, 431], "mariannmt": [170, 319, 431], "behind": [170, 172, 173, 174, 177, 319, 431, 433, 434, 435, 438], "opus_mt_en_fr": [170, 319, 431], "differenti": [170, 319, 431], "toolkit": [170, 319, 431], "capit": [170, 183, 238, 239, 319, 431, 443], "quell": [170, 319, 431], "capital": [170, 319, 431], "devrait": [170, 319, 431], "savoir": [170, 319, 431], "fran\u00e7ai": [170, 319, 431], "34b": [171, 178, 432, 439], "strike": [171, 432], "balanc": [171, 222, 432, 483], "rival": [171, 175, 432, 436], "codellama": [171, 178, 432, 439], "latter": [171, 432], "gqa": [171, 177, 432, 438], "quicker": [171, 432], "compromis": [171, 432], "streamlin": [171, 235, 432, 496, 524], "smoother": [171, 432], "slide": [171, 177, 238, 251, 432, 438, 500, 513], "swa": [171, 177, 432, 438], "reliabl": [171, 235, 432, 496, 524], "mistral_7b": [171, 432], "mistralai": [171, 432], "coupl": [171, 432], "da": [171, 432], "vinci": [171, 432], "invent": [171, 432], "microscop": [171, 432], "No": [171, 172, 222, 254, 432, 433, 483, 515, 527], "late": [171, 432], "16th": [171, 432], "nllb": [172, 433], "nllb_distilled_600m_8int": [172, 433], "driven": [172, 433], "erad": [172, 433], "barrier": [172, 433], "solidifi": [172, 433], "artifici": [172, 173, 174, 175, 177, 433, 434, 435, 436, 438], "intellig": [172, 173, 174, 175, 177, 433, 434, 435, 436, 438], "effort": [172, 173, 433, 434], "coalesc": [172, 433], "leav": [172, 433], "vast": [172, 433], "major": [172, 433], "mostli": [172, 433], "safe": [172, 433], "ethic": [172, 433], "consider": [172, 433], "exploratori": [172, 433], "interview": [172, 433], "nativ": [172, 433, 525], "speaker": [172, 237, 238, 433, 499, 500], "narrow": [172, 433], "gate": [172, 173, 433, 434], "expert": [172, 433], "counteract": [172, 433], "overfit": [172, 433], "flore": [172, 433], "assess": [172, 174, 175, 433, 435, 436], "groundwork": [172, 433], "realiz": [172, 433], "zho_han": [172, 433], "eng_latn": [172, 433], "olmo": [173, 434], "dolma": [173, 434], "soon": [173, 434], "olmo_1b_int4": [173, 434], "lm": [173, 183, 434, 443], "surg": [173, 434], "interfac": [173, 235, 237, 250, 434, 496, 499, 512, 524, 532], "undisclos": [173, 434], "scientif": [173, 178, 434, 439], "risk": [173, 434], "believ": [173, 434], "hope": [173, 434], "empow": [173, 434], "strengthen": [173, 434], "wave": [173, 434], "innov": [173, 175, 434, 436], "skill": [173, 174, 175, 177, 434, 435, 436, 438], "textbook": [174, 435], "augment": [174, 435], "websit": [174, 175, 435, 436], "educ": [174, 435], "sens": [174, 175, 435, 436, 533], "showcas": [174, 175, 177, 435, 436, 438], "nearli": [174, 435], "hasn": [174, 435], "craft": [174, 435], "vital": [174, 435], "societ": [174, 435], "phi2": [174, 435], "medium": [175, 436], "14b": [175, 176, 177, 436, 437, 438], "underw": [175, 436], "post": [175, 203, 436, 463], "math": [175, 177, 178, 436, 438, 439], "phi3": [175, 436], "phi_3_mini_128k_instruct": [175, 436], "big": [175, 237, 251, 436, 499, 513], "trillion": [175, 178, 436, 439], "mixtral": [175, 436], "8x7b": [175, 436], "69": [175, 255, 436, 517], "mmlu": [175, 436], "mt": [175, 436], "bench": [175, 436], "enough": [175, 436], "compos": [175, 436], "heavili": [175, 436], "8t": [175, 176, 436, 437], "moreov": [175, 436], "2412": [176, 437], "08905": [176, 437], "phi4": [176, 437], "qwen1": [177, 438], "72b": [177, 438], "stabl": [177, 438], "32k": [177, 438], "swiglu": [177, 438], "qkv": [177, 438], "qwenlm": [177, 438], "revolution": [177, 438], "thought": [177, 438], "instal": [177, 235, 262, 438, 496, 526], "encompass": [177, 438], "distinct": [177, 438], "multitud": [177, 438], "possess": [177, 438], "plan": [177, 196, 438, 457], "impress": [177, 438], "bigger": [177, 438], "qwen_7": [177, 438], "5b_chat": [177, 438], "starcoder2": [178, 439], "predecessor": [178, 439], "starcoder2transform": [178, 439], "bigcod": [178, 439], "starcod": [178, 439], "partnership": [178, 439], "swh": [178, 439], "stack": [178, 439], "digit": [178, 439], "archiv": [178, 439], "619": [178, 439], "15b": [178, 439], "thoroughli": [178, 439], "starcoderbas": [178, 439], "twice": [178, 439], "although": [178, 439], "deepseekcod": [178, 439], "openrail": [178, 439], "transpar": [178, 439], "regard": [178, 221, 439, 482], "swhid": [178, 439], "def": [178, 227, 439, 488], "t5": [179, 440], "reconsid": [179, 440], "hyper": [179, 440], "t5_small": [179, 440], "encount": [179, 440], "aggregationmethod": [180, 181, 441], "asretriev": [180, 181, 441], "asretrieverqueri": [180, 181, 441], "bucketlength": [180, 181, 441], "identityrank": [180, 181, 441], "numhasht": [180, 181, 441], "numberofneighbour": [180, 181, 441], "setaggregationmethod": [180, 181, 441], "setbucketlength": [180, 181, 441], "setidentityrank": [180, 181, 441], "setnumhasht": [180, 181, 441], "setnumberofneighbour": [180, 181, 441], "setsimilaritymethod": [180, 181, 441], "setvisibledist": [180, 181, 441], "similaritymethod": [180, 181, 441], "visibledist": [180, 181, 441], "extractnearestneighbor": [180, 181, 441], "getoutputcol": [180, 181, 197, 198, 200, 201, 202, 203, 207, 209, 214, 217, 441, 458, 460, 461, 462, 463, 467, 470, 477], "outputcol": [180, 181, 197, 198, 200, 201, 202, 203, 204, 207, 209, 210, 214, 217, 236, 238, 239, 246, 441, 458, 460, 461, 462, 463, 464, 467, 470, 471, 477, 500, 501, 508], "setextractnearestneighbor": [180, 181, 441], "documentsimilarityrank": [181, 441], "lsh": [181, 441], "lib": [181, 441], "execut": [181, 208, 222, 250, 349, 441, 469, 483, 512, 528, 532], "ranker": [181, 441], "jupyt": [181, 235, 261, 441, 496, 524], "doc_similarity_rank": [181, 214, 218, 441, 478], "enablecach": [181, 214, 222, 441, 483], "rdd": [181, 222, 441, 483], "neighbour": [181, 441], "brp": [181, 441], "bucket": [181, 441], "euclidean": [181, 441], "hash": [181, 441], "debug": [181, 441], "document_similarity_ranker_finish": [181, 441], "finished_doc_similarity_rankings_id": [181, 441], "finished_doc_similarity_rankings_neighbor": [181, 441], "docsimrankerpipelin": [181, 441], "1510101612": [181, 441], "1634839239": [181, 441], "12448559591306324": [181, 441], "612640902": [181, 441], "1274183715": [181, 441], "1220122862046063": [181, 441], "1320876223": [181, 441], "1293373212": [181, 441], "17848855164122393": [181, 441], "1548374770": [181, 441], "1719102856": [181, 441], "23297156732534166": [181, 441], "wise": [181, 441], "inclus": [181, 441], "visibl": [181, 441], "addregexclass": [182, 183, 443], "addvocabclass": [182, 183, 443], "casestrategi": [182, 183, 443], "classcount": [182, 183, 443], "compoundcount": [182, 183, 443], "errorthreshold": [182, 183, 443], "finalr": [182, 183, 443], "initialr": [182, 183, 443], "languagemodelclass": [182, 183, 443], "maxcandid": [182, 183, 443], "maxsentlen": [182, 183, 443], "maxwindowlen": [182, 183, 443], "setcasestrategi": [182, 183, 443], "setclasscount": [182, 183, 443], "setcompoundcount": [182, 183, 443], "setepoch": [182, 183, 443], "seterrorthreshold": [182, 183, 443], "setfinalr": [182, 183, 443], "setinitialr": [182, 183, 443], "setlanguagemodelclass": [182, 183, 443], "setmaxcandid": [182, 183, 443], "setmaxsentlen": [182, 183, 443], "setmaxwindowlen": [182, 183, 443], "settradeoff": [182, 183, 443], "setvalidationfract": [182, 183, 443], "setweighteddistpath": [182, 183, 443], "setwordmaxdist": [182, 183, 443], "tradeoff": [182, 183, 443], "validationfract": [182, 183, 443], "weighteddistpath": [182, 183, 443], "wordmaxdist": [182, 183, 443], "comparelowcas": [182, 183, 443], "correctsymbol": [182, 183, 443], "gamma": [182, 183, 443], "getwordclass": [182, 183, 443], "idsvocab": [182, 183, 443], "setclass": [182, 183, 443], "setcomparelowcas": [182, 183, 443], "setcorrectsymbol": [182, 183, 443], "setgamma": [182, 183, 443], "setidsvocab": [182, 183, 443], "setvocabfreq": [182, 183, 443], "setvocabid": [182, 183, 443], "setweight": [182, 183, 443], "updateregexclass": [182, 183, 443], "updatevocabclass": [182, 183, 443], "vocabfreq": [182, 183, 443], "vocabid": [182, 183, 443], "doublevari": [182, 184, 445], "dupslimit": [182, 184, 185, 445, 446], "frequencyprior": [182, 184, 445], "intersect": [182, 184, 445], "reductlimit": [182, 184, 445], "setdoublevari": [182, 184, 445], "setfrequencyprior": [182, 184, 445], "setshortcircuit": [182, 184, 445], "shortcircuit": [182, 184, 445], "vowelswaplimit": [182, 184, 445], "wordsizeignor": [182, 184, 445], "deletesthreshold": [182, 185, 446], "frequencythreshold": [182, 185, 195, 196, 446, 457], "maxeditdist": [182, 185, 446], "setdeletesthreshold": [182, 185, 446], "setfrequencythreshold": [182, 185, 195, 196, 446, 457], "setmaxeditdist": [182, 185, 446], "spell": [182, 183, 184, 185, 208, 213, 259, 384, 443, 444, 445, 446, 469, 474, 531, 532, 533], "contextspellcheck": [183, 443], "noisi": [183, 443], "surround": [183, 212, 443, 473], "edit": [183, 184, 185, 443, 445, 446], "subword": [183, 443], "checker": [183, 184, 185, 443, 445, 446, 531], "uppercas": [183, 443], "perplex": [183, 443], "nlm": [183, 443], "datapoint": [183, 443], "vocab": [183, 443], "compound": [183, 443], "levenshtein": [183, 184, 185, 443, 445, 446], "depth": [183, 443, 531], "spellcheck": [183, 184, 185, 443, 445, 446], "1650": [183, 443], "_name_": [183, 443], "userdist": [183, 443], "sentlen": [183, 443], "fraction": [183, 443], "dist": [183, 443], "spellcheck_dl": [183, 443], "decis": [183, 443], "usenewlin": [183, 443], "cold": [183, 443], "dreari": [183, 443], "smow": [183, 443], "norvigsweet": [184, 445], "norvig": [184, 445], "bayesian": [184, 445], "tokenpattern": [184, 445], "ham": [184, 445], "duplic": [184, 185, 445], "vowel": [184, 445], "corrector": [184, 445], "gummi": [184, 185, 445, 446], "gummic": [184, 185, 445, 446], "gummier": [184, 185, 445, 446], "gummiest": [184, 185, 445, 446], "gummifer": [184, 185, 445, 446], "basi": [184, 185, 445, 446], "sensitivti": 184, "token_pattern": [184, 185, 445, 446], "symmetr": [184, 185, 445, 446], "delet": [184, 185, 445, 446, 528], "damerau": [184, 185, 445, 446], "transpos": [184, 185, 445, 446], "spellcheck_norvig": [184, 445], "symspel": [184, 185, 445, 446], "somtim": [184, 445], "wrrite": [184, 185, 445, 446], "wordz": [184, 185, 445, 446], "erong": [184, 185, 445, 446], "sometim": [184, 185, 445, 446, 528], "wrong": [184, 185, 445, 446], "symmetricdelet": [185, 446], "teach": [185, 446], "patttern": [185, 446], "spellcheck_sd": [185, 446], "spmetim": [185, 446], "employ": [186, 447], "mllib": [187, 448, 525], "stopwordsremov": [187, 448], "cleantoken": [187, 201, 213, 448, 461, 474], "stopwords_en": [187, 448], "forth": [187, 448], "defaultparamswrit": 188, "defaultparamsread": 188, "assertiondlapproach": [188, 449], "medicalnerapproach": [188, 449], "srt": [188, 449], "greaph": [188, 449], "infix": [189, 191, 193, 452, 454], "setinfix": [189, 191, 452], "setprefix": [189, 191, 452], "positionalmask": [189, 192, 453], "setpositionalmask": [189, 192, 453], "settolowercas": [189, 192, 195, 196, 453, 457], "tolowercas": [189, 192, 195, 196, 453, 457], "addcontextchar": [189, 193, 454], "addexcept": [189, 193, 454], "addinfixpattern": [189, 193, 454], "addsplitchar": [189, 193, 454], "casesensitiveexcept": [189, 193, 454], "contextchar": [189, 193, 454], "exceptionspath": [189, 193, 454], "getcasesensitiveexcept": [189, 193, 454], "getcontextchar": [189, 193, 454], "getexcept": [189, 193, 454], "getinfixpattern": [189, 193, 454], "getprefixpattern": [189, 193, 454], "getsplitchar": [189, 193, 454], "getsuffixpattern": [189, 193, 454], "infixpattern": [189, 193, 454], "prefixpattern": [189, 193, 454], "setcasesensitiveexcept": [189, 193, 454], "setexcept": [189, 193, 454], "setexceptionspath": [189, 193, 454], "setinfixpattern": [189, 193, 454], "setprefixpattern": [189, 193, 454], "setsplitchar": [189, 193, 454], "setsuffixpattern": [189, 193, 454], "settargetpattern": [189, 193, 454], "splitchar": [189, 193, 454], "suffixpattern": [189, 193, 454], "targetpattern": [189, 193, 454], "flatten": [190, 238, 450, 500], "artist": [190, 450], "benezar": [190, 450], "robert": [190, 450], "farendel": [190, 450], "graduat": [190, 450], "luca": [190, 450], "qam": [191, 452], "guarante": [192, 453], "flag": [192, 453], "eventu": [192, 453], "nthi": [192, 453], "tokenizedsent": [193, 454], "rulefactori": [193, 221, 454, 482], "grab": [193, 454], "sub": [193, 454], "won": [193, 454], "didn": [193, 454], "jane": [193, 454], "boyfriend": [193, 454], "token_rul": [193, 454], "factori": 193, "17": [194, 255, 257, 455, 517, 519], "ambiguitythreshold": [195, 196, 457], "enableregextoken": [195, 196, 457], "getambiguitythreshold": [195, 196, 457], "getfrequencythreshold": [195, 196, 457], "setambiguitythreshold": [195, 196, 457], "setenableregextoken": [195, 196, 457], "setniter": [195, 196, 457], "wordsegment": [196, 457], "korean": [196, 457], "japanes": [196, 457], "correspond": [196, 235, 238, 246, 457, 496], "rr": [196, 457], "likewis": [196, 457], "themselv": [196, 457], "\u4e0a\u6d77": [196, 457], "\u8ba1\u5212": [196, 457], "\u5230": [196, 457], "\u672c": [196, 457], "\u4e16\u7eaa": [196, 457], "\u672b": [196, 457], "\u5b9e\u73b0": [196, 457], "\u4eba\u5747": [196, 457], "\u56fd\u5185": [196, 457], "\u751f\u4ea7": [196, 457], "\u603b\u503c": [196, 457], "\u4e94\u5343": [196, 457], "\u7f8e\u5143": [196, 457], "\u4e0a": [196, 457], "\u6d77": [196, 457], "\u8ba1": [196, 457], "\u5212": [196, 457], "\u4e16": [196, 457], "\u7eaa": [196, 457], "\u5b9e": [196, 457], "\u73b0": [196, 457], "\u4eba": [196, 457], "\u5747": [196, 457], "\u56fd": [196, 457], "\u5185": [196, 457], "\u751f": [196, 457], "\u4ea7": [196, 457], "\u603b": [196, 457], "ll\u503c": [196, 457], "\u4e94": [196, 457], "\u5343": [196, 457], "\u7f8e": [196, 457], "\u5143": [196, 457], "shanghai": [196, 457], "dollar": [196, 457], "capita": [196, 457], "gdp": [196, 457], "tip": [196, 457], "frame": [196, 457], "frequent": [196, 457], "xue": [196, 457], "nianwen": [196, 457], "volum": [196, 457], "februari": [196, 457], "aclweb": [196, 457], "aclanthologi": [196, 457], "o03": [196, 457], "4002": [196, 457], "chinese_train": [196, 457], "utf8": [196, 457], "\u5341": [196, 457], "\u56db": [196, 457], "\u4e0d": [196, 457], "\u662f": [196, 457], "trainingdataset": [196, 457], "plit": [196, 457], "words_seg": [196, 457], "wordseg_pku": [196, 457], "zh": [196, 457], "\u7136\u800c": [196, 457], "\u9019\u6a23\u7684\u8655\u7406\u4e5f\u884d\u751f\u4e86\u4e00\u4e9b\u554f\u984c": [196, 457], "\u9019\u6a23": [196, 457], "\u7684": [196, 457], "\u8655\u7406": [196, 457], "\u4e5f": [196, 457], "\u884d\u751f": [196, 457], "\u4e86": [196, 457], "\u4e00\u4e9b": [196, 457], "\u554f\u984c": [196, 457], "chunkcol": [197, 199, 459], "failonmiss": [197, 199, 459], "isarrai": [197, 199, 459], "setchunkcol": [197, 199, 459], "setfailonmiss": [197, 199, 459], "setisarrai": [197, 199, 459], "setstartcol": [197, 199, 459], "setstartcolbytokenindex": [197, 199, 459], "startcol": [197, 199, 459], "startcolbytokenindex": [197, 199, 459], "cleanupmod": [197, 200, 209, 460, 470], "idcol": [197, 200, 209, 460, 470], "metadatacol": [197, 200, 209, 460, 470], "setidcol": [197, 200, 209, 460, 470], "setmetadatacol": [197, 200, 209, 460, 470], "cleanannot": [197, 201, 202, 204, 461, 462, 464], "outputasvector": [197, 201, 461], "annotationsplitsymbol": [197, 202, 462], "includemetadata": [197, 202, 462], "outputasarrai": [197, 202, 204, 462, 464], "parseembeddingsvector": [197, 202, 462], "setannotationsplitsymbol": [197, 202, 462], "setincludemetadata": [197, 202, 462, 529], "setoutputasarrai": [197, 202, 204, 462, 464], "setparseembeddingsvector": [197, 202, 462], "setvaluesplitsymbol": [197, 202, 462], "valuesplitsymbol": [197, 202, 462], "getminmaxsc": [197, 203, 463], "getminrelevancescor": [197, 203, 463], "gettopk": [197, 203, 463], "minmaxsc": [197, 203, 463], "minrelevancescor": [197, 203, 463], "setminmaxsc": [197, 203, 463], "setminrelevancescor": [197, 203, 463], "settextcol": [197, 207, 467], "textcol": [197, 207, 253, 254, 467, 514, 515], "fullannot": [197, 208, 240, 241, 469, 503], "fullannotateimag": [197, 208, 240, 241, 469, 503], "getignoreunsupport": [197, 208, 469], "setignoreunsupport": [197, 208, 469], "addassist": [197, 210, 471], "setaddassist": [197, 210, 471], "setchattempl": [197, 210, 214, 222, 471, 483], "csvdelimit": [197, 212, 473], "escapecsvdelimit": [197, 212, 473], "setcsvdelimit": [197, 212, 473], "setescapecsvdelimit": [197, 212, 473], "inferschema": [198, 458], "librispeech_asr_dummy_clean_audio_array_parquet": [198, 458], "float_arrai": [198, 458], "stringtyp": [199, 227, 260, 459], "fail": [199, 349, 459], "chunkassembl": [199, 459], "cleanup": [200, 209, 460, 470], "inplac": [200, 209, 460, 470], "inplace_ful": [200, 209, 460, 470], "shrink_ful": [200, 209, 460, 470], "each_ful": [200, 209, 460, 470], "delete_ful": [200, 209, 460, 470], "usabl": [201, 461], "lda": [201, 461], "forest": [201, 461], "featurecol": [201, 461], "gloveembed": [201, 461], "finished_sentence_embed": [201, 461], "resultwiths": [201, 461], "1619900017976761": [201, 461], "045552998781204224": [201, 461], "03229299932718277": [201, 461], "685609996318": [201, 461], "42416998744010925": [201, 461], "1378999948501587": [201, 461], "5717899799346924": [201, 461], "5078899860382": [201, 461], "08621499687433243": [201, 461], "15772999823093414": [201, 461], "06067200005054474": [201, 461], "395359992980": [201, 461], "4970499873161316": [201, 461], "7164199948310852": [201, 461], "40119001269340515": [201, 461], "05761000141501": [201, 461], "08170200139284134": [201, 461], "7159299850463867": [201, 461], "20677000284194946": [201, 461], "0295659992843": [201, 461], "ouput": 201, "sort": [203, 236, 238, 244, 246, 463, 500, 508], "descend": [203, 463], "ranked_docu": [203, 463], "minvalu": [203, 463], "finishedresult": [204, 464], "java_obj": [205, 231, 233, 465, 492, 495], "javaobject": [205, 206, 233, 465, 466, 495], "abc": [205, 233], "classmethod": [207, 229, 467, 490], "png": [207, 467], "gif": [207, 467], "bmp": [207, 467], "parse_embed": [208, 241, 469, 503], "principl": [208, 469, 532], "everyth": [208, 469, 532, 533], "happi": [208, 469, 527, 529, 532, 533], "prp": [208, 254, 255, 469, 515, 517, 527, 532, 533, 534], "rb": [208, 255, 469, 517, 527, 532, 533, 534], "optional_target": [208, 241, 469, 503], "explain_document_pipelin": [208, 227, 241, 469, 488, 503, 527, 532, 533], "dict_kei": [208, 241, 469, 503], "path_to_imag": [208, 241, 469, 503], "unsupport": [208, 469], "text2": [209, 470], "document1": [209, 470], "document2": [209, 470], "assembl": [210, 238, 471, 500], "messag": [210, 248, 250, 349, 471, 510, 512, 526], "df": [210, 237, 471, 499], "custom_tool": [210, 471], "endif": [210, 471], "tools_in_user_messag": [210, 471], "date_str": [210, 471], "jul": [210, 471], "2024": [210, 471], "block": [210, 237, 238, 471, 499, 500], "slot": [210, 471], "system_messag": [210, 471], "builtin": [210, 471], "builtin_tool": [210, 471], "environ": [210, 261, 349, 471, 525], "ipython": [210, 471], "reject": [210, 253, 471, 514, 534], "equalto": [210, 471], "code_interpret": [210, 471], "decemb": [210, 471], "2023": [210, 471], "argument": [210, 242, 259, 349, 471, 504, 521], "tojson": [210, 471], "indent": [210, 471], "endfor": [210, 471], "guidanc": [210, 471], "plug": [210, 471], "first_user_messag": [210, 471], "raise_except": [210, 471], "proper": [210, 471], "tool_cal": [210, 471], "elif": [210, 471], "python_tag": [210, 471], "arg_nam": [210, 471], "arg_val": [210, 471], "eom_id": [210, 471], "add_generation_prompt": [210, 471], "nhello": [210, 471], "arg": [211, 229, 231, 260, 472, 492, 522], "decid": [211, 238, 472], "behav": [211, 472], "exactli": [211, 472], "pipeline_model": [211, 235, 246, 247, 250, 469, 472, 496, 508, 509, 512, 524], "tab": [212, 235, 473, 496, 524], "escap": [212, 473], "quot": [212, 473], "defailt": [212, 473], "comma": [212, 473], "table_csv": [212, 473], "csv_data": [212, 473], "input_format": [212, 473], "cleantext": [213, 474], "opensourc": [213, 474], "getlazyannot": [214, 217, 477], "lazyannot": [214, 217, 477], "setlazyannot": [214, 217, 477], "getremovethinkingtag": [214, 219, 479], "removethinkingtag": [214, 219, 479], "setremovethinkingtag": [214, 219, 479], "features": [214, 222, 483], "paddingsid": [214, 222, 483], "paddingvalu": [214, 222, 483], "returnattentionmask": [214, 222, 483], "samplingr": [214, 222, 483], "setdonorm": [214, 222, 483], "setfeatures": [214, 222, 483], "setpaddingsid": [214, 222, 483], "setpaddingvalu": [214, 222, 483], "setreturnattentionmask": [214, 222, 483], "setsamplingr": [214, 222, 483], "getbatchs": [214, 222, 483], "contradictionidparam": [214, 222, 483], "entailmentidparam": [214, 222, 483], "setcontradictionidparam": [214, 222, 483], "setentailmentidparam": [214, 222, 483], "getcasesensit": [214, 222, 483], "getactiv": [214, 222, 483], "getmultilabel": [214, 222, 483], "multilabel": [214, 222, 483], "setactiv": [214, 222, 483], "setmultilabel": [214, 222, 483], "getuseclstoken": [214, 222, 483], "setuseclstoken": [214, 222, 483], "getdimens": [214, 222, 483], "getenablecach": [214, 222, 483], "setenablecach": [214, 222, 483], "getengin": [214, 222, 483], "setnreturnsequ": [214, 222, 483], "setdores": [214, 222, 483], "setfeatureextractortyp": [214, 222, 483], "setimagemean": [214, 222, 483], "setimagestd": [214, 222, 483], "setresampl": [214, 222, 483], "disablelog": [214, 222, 483], "dynamictemperatureexpon": [214, 222, 483], "dynamictemperaturerang": [214, 222, 483], "logverbos": [214, 222, 483], "setcacheprompt": [214, 222, 483], "setdisablelog": [214, 222, 483], "setdisabletokenid": [214, 222, 483], "setdynamictemperatureexpon": [214, 222, 483], "setdynamictemperaturerang": [214, 222, 483], "setgrammar": [214, 222, 483], "setignoreeo": [214, 222, 483], "setinputprefix": [214, 222, 483], "setinputsuffix": [214, 222, 483], "setlogverbos": [214, 222, 483], "setmirostat": [214, 222, 483], "setmirostateta": [214, 222, 483], "setmirostattau": [214, 222, 483], "setmodelalia": [214, 222, 483], "setmodeldraft": [214, 222, 483], "setndraft": [214, 222, 483], "setngpulayersdraft": [214, 222, 483], "setnkeep": [214, 222, 483], "setpenaltyprompt": [214, 222, 483], "setsampl": [214, 222, 483], "setsystemprompt": [214, 222, 483], "settokenbia": [214, 222, 483], "settokenidbia": [214, 222, 483], "setusechattempl": [214, 222, 483], "max_length_limit": [214, 222, 483], "getmaxsentencelength": [214, 222, 483], "getstoragepath": [214, 225, 486], "storagepath": [214, 225, 486], "savestorag": [214, 225, 486], "enableinmemorystorag": [214, 225, 486], "getenableinmemorystorag": [214, 225, 486], "getincludestorag": [214, 225, 486], "includestorag": [214, 225, 486], "setenableinmemorystorag": [214, 225, 486], "setincludestorag": [214, 225, 486], "getstorageref": [214, 225, 486], "storageref": [214, 225, 486], "lazili": [217, 477], "renam": 217, "lazi": 217, "cov_obj": [220, 480], "recal": [222, 483], "spread": [222, 483], "evenli": [222, 483], "isol": [222, 483], "spawn": [222, 483], "cpu": [222, 483], "numa_ctl": [222, 483], "numactl": [222, 483], "mirror": [222, 483], "tokenbia": [222, 483], "tokenidbia": [222, 483], "fo": [226, 487], "output_column": [227, 488], "vbz": [227, 253, 488, 514, 534], "f": [227, 235, 238, 246, 247, 488, 496, 500, 509, 524], "filter_po": [227, 488], "epeu": [227, 488], "output_typ": [227, 488], "udf": [227, 488], "userdefinedfunct": [227, 488], "nnp_token": [227, 488], "lambda": [227, 488], "annotatyon_typ": [227, 488], "structfield": [227, 260], "integertyp": [227, 260], "maptyp": 227, "floattyp": 227, "chunks_df": [227, 488], "pos_chunk": [227, 488], "getdatafram": [228, 231, 492], "new_java_arrai": [228, 231, 492], "new_java_array_integ": [228, 231, 492], "new_java_array_str": [228, 231, 492], "new_java_obj": [228, 231, 492], "spark_vers": [228, 231, 492], "getparamvalu": [228, 232, 494], "getter_attr": [228, 232, 494], "setparamvalu": [228, 232, 494], "transform_recurs": [228, 233, 495], "kwd": 229, "javamlread": [229, 246, 490], "mlreader": [229, 490], "clazz": [229, 490], "rl": [229, 490], "javatransform": [230, 246], "javawrapp": [231, 492], "jdf": [231, 492], "pylist": [231, 492], "java_class": [231, 492], "todo": [231, 492], "paramnam": [232, 494], "log_asset": [234, 235, 496], "log_asset_data": [234, 235, 496], "log_completed_run": [234, 235, 496], "log_metr": [234, 235, 496, 524], "log_paramet": [234, 235, 496], "log_pipeline_paramet": [234, 235, 496, 524], "log_visu": [234, 235, 496, 524], "parti": [234, 262, 497], "workspac": [235, 496], "project_nam": [235, 496, 524], "comet_mod": [235, 496, 524], "experiment_id": [235, 496], "experiment_kwarg": [235, 496], "logger": [235, 496, 524], "practition": [235, 496, 524], "lifecycl": [235, 496, 524, 526], "track": [235, 496, 524, 525], "outputlogpath": [235, 496, 524], "onlin": [235, 496, 524], "reus": [235, 239, 247, 248, 496, 501, 509, 510], "importerror": [235, 496], "output_log_path": [235, 496, 524], "embd": [235, 496, 524], "logdir": [235, 496, 524], "attribut": [235, 349], "comet_ml": [235, 496, 524], "submit": [235, 261, 496, 524], "outstand": [235, 496], "asset_path": [235, 496], "upload": [235, 259, 496, 521], "asset": [235, 496], "attach": [235, 237, 238, 251, 409, 410, 477, 483, 494, 496, 499, 500, 513], "log_file_path": [235, 496], "sklearn": [235, 496, 524], "multilabelbinar": [235, 496, 524], "classification_report": [235, 496, 524], "preds_df": [235, 496, 524], "topanda": [235, 496, 524], "mlb": [235, 496, 524], "y_true": [235, 496, 524], "fit_transform": [235, 496, 524], "y_pred": [235, 496, 524], "output_dict": [235, 496, 524], "html": [235, 237, 238, 239, 244, 247, 248, 250, 251, 496, 499, 500, 501, 509, 510, 512, 513, 524], "viz": [235, 496, 524], "colum": [235, 496, 524], "ner_chunk": [235, 496, 524], "sparknlp_displai": [235, 496, 524], "nervisu": [235, 496, 524], "idx": [235, 496, 524], "enumer": [235, 496, 524], "label_col": [235, 496, 524], "document_col": [235, 496, 524], "return_html": [235, 496, 524], "interv": [235, 496], "refresh": [235, 496], "partition_text": [236, 237, 499], "partition_url": [236, 237, 499], "chunkingstrategi": [236, 238, 500], "combinetextundernchar": [236, 238, 500], "maxcharact": [236, 238, 500], "newafternchar": [236, 238, 500], "overlapal": [236, 238, 500], "setchunkingstrategi": [236, 238, 500], "setcombinetextundernchar": [236, 238, 500], "setmaxcharact": [236, 238, 500], "setnewafternchar": [236, 238, 500], "setoverlap": [236, 238, 500], "setoverlapal": [236, 238, 500], "addattachmentcont": [236, 238, 500], "getaddattachmentcont": [236, 238, 500], "setaddattachmentcont": [236, 238, 500], "appendcel": [236, 238, 500], "cellsepar": [236, 238, 500], "getappendcel": [236, 238, 500], "getcellsepar": [236, 238, 500], "setappendcel": [236, 238, 500], "setcellsepar": [236, 238, 500], "gettimeout": [236, 238, 500], "sethead": [236, 238, 239, 500, 501], "settimeout": [236, 238, 500], "timeout": [236, 237, 238, 499, 500], "extractcoordin": [236, 238, 244, 246, 500, 508], "normalizeligatur": [236, 238, 244, 246, 500, 508], "onlypagenum": [236, 238, 244, 246, 500, 508], "origincol": [236, 238, 500], "pagenumcol": [236, 238, 244, 246, 500, 508], "partitionnum": [236, 238, 244, 246, 500, 508], "readasimag": [236, 238, 500], "setextractcoordin": [236, 238, 244, 246, 500, 508], "setnormalizeligatur": [236, 238, 244, 246, 500, 508], "setonlypagenum": [236, 238, 244, 246, 500, 508], "setorigincol": [236, 238, 500], "setpagenumcol": [236, 238, 244, 246, 500, 508], "setpartitionnum": [236, 238, 244, 246, 500, 508], "setreadasimag": [236, 238, 500], "setsort": [236, 238, 244, 246, 500, 508], "setsplitpag": [236, 238, 244, 246, 500, 508], "setstoresplittedpdf": [236, 238, 244, 246, 500, 508], "settextstripp": [236, 238, 244, 246, 500, 508], "splitpag": [236, 238, 244, 246, 500, 508], "storesplittedpdf": [236, 238, 244, 246, 500, 508], "textstripp": [236, 238, 244, 246, 500, 508], "getincludeslidenot": [236, 238, 500], "includeslidenot": [236, 238, 500], "setincludeslidenot": [236, 238, 500], "contentpath": [236, 238, 239, 500, 501], "contenttyp": [236, 238, 239, 500, 501], "explodedoc": [236, 238, 500], "flattenoutput": [236, 238, 500], "ignoreexcept": [236, 238, 500], "includepagebreak": [236, 238, 239, 500, 501], "infertablestructur": [236, 238, 239, 500, 501], "outputasdocu": [236, 238, 500], "setcontentpath": [236, 238, 239, 247, 250, 500, 501, 509, 512], "setcontenttyp": [236, 238, 239, 247, 250, 500, 501, 509, 512], "setexplodedoc": [236, 238, 500], "setflattenoutput": [236, 238, 500], "setignoreexcept": [236, 238, 500], "setincludepagebreak": [236, 238, 239, 500, 501], "setinfertablestructur": [236, 238, 239, 500, 501], "setoutputasdocu": [236, 238, 500], "setstorecont": [236, 238, 239, 500, 501], "settitlefonts": [236, 238, 239, 500, 501], "settitlethreshold": [236, 238, 500], "storecont": [236, 238, 239, 500, 501], "titlefonts": [236, 238, 239, 500, 501], "titlethreshold": [236, 238, 500], "getgroupbrokenparagraph": [236, 238, 500], "getmaxlinecount": [236, 238, 500], "getparagraphsplit": [236, 238, 500], "getshortlinewordthreshold": [236, 238, 500], "getthreshold": [236, 238, 500], "gettitlelengths": [236, 238, 500], "groupbrokenparagraph": [236, 238, 500], "maxlinecount": [236, 238, 500], "paragraphsplit": [236, 238, 500], "setgroupbrokenparagraph": [236, 238, 500], "setmaxlinecount": [236, 238, 500], "setparagraphsplit": [236, 238, 500], "setshortlinewordthreshold": [236, 238, 500], "settitlelengths": [236, 238, 500], "shortlinewordthreshold": [236, 238, 500], "titlelengths": [236, 238, 500], "getcontentpath": [236, 239, 501], "getcontenttyp": [236, 239, 501], "getincludepagebreak": [236, 239, 501], "getinfertablestructur": [236, 239, 501], "getstorecont": [236, 239, 501], "gettitlefonts": [236, 239, 501], "docx": [237, 239, 247, 499, 501, 509], "xlsx": [237, 239, 247, 499, 501, 509], "powerpoint": [237, 239, 247, 251, 499, 501, 509, 513], "ppt": [237, 239, 244, 247, 251, 499, 501, 509, 513], "pptx": [237, 239, 247, 499, 501, 509], "eml": [237, 239, 247, 499, 501, 509], "msg": [237, 239, 247, 499, 501, 509], "content_typ": [237, 499], "store_cont": [237, 499], "fetch": [237, 238, 499], "title_font_s": [237, 499], "titl": [237, 238, 239, 247, 251, 256, 259, 499, 500, 501, 509, 513, 518, 521, 534], "include_page_break": [237, 499], "group_broken_paragraph": [237, 499], "title_length_s": [237, 499], "qualifi": [237, 238, 499], "paragraph_split": [237, 499], "short_line_word_threshold": [237, 499], "ratio": [237, 238, 499], "switch": [237, 499], "max_line_count": [237, 499], "include_slide_not": [237, 499], "infer_table_structur": [237, 499], "append_cel": [237, 499], "cell_separ": [237, 499], "add_attachment_cont": [237, 499], "txt_directori": [237, 499], "txtfile": [237, 499], "partition_df": [237, 499], "ema": [237, 499], "sev": [237, 499], "wikip": [237, 499], "wikipedi": [237, 499], "sparknlp_partition_reader_demo": [237, 499], "ipynb": [237, 499], "raw_text": [237, 499], "fox": [237, 499], "walk": [237, 499], "lane": [237, 499], "met": [237, 499], "text_df": [237, 499], "narrativetext": [237, 247, 251, 499, 509, 513], "elementtyp": [237, 247, 251, 499, 509, 513], "urls_df": [237, 499], "adjac": 238, "ligatur": [238, 246, 500], "\ufb02": [238, 246, 500], "stripper": [238, 245, 246, 500, 506], "layout": [238, 239, 246, 500, 508], "narr": [238, 247, 500, 509], "mime": [238, 239, 500], "manual": [238, 239, 250, 261, 512, 527], "heurist": [238, 239], "bold": [238, 239], "center": [238, 239], "fragment": 238, "smoothli": [239, 247, 248, 501, 509, 510], "workflow": [239, 247, 248, 501, 509, 510, 524], "seamless": [239, 247, 248, 501, 509, 510], "blizzard": [239, 501], "blizz": [239, 501], "juego": [239, 501], "gmail": [239, 501], "im": [239, 501], "from_disk": [240, 241, 503], "clearcach": [240, 242, 504], "downloadmodel": [240, 242, 504], "downloadmodeldirectli": [240, 242, 504], "downloadpipelin": [240, 242, 504], "showavailableannot": [240, 242, 504], "showpublicmodel": [240, 242, 504, 528], "showpublicpipelin": [240, 242, 504, 533], "showuncategorizedresourc": [240, 242, 504], "disk_loc": [241, 503], "light_model": [241, 503], "onto_100": [242, 504], "onto_300": [242, 504], "ner_dl_bert": [242, 504], "similarli": [242, 504], "check_spel": [242, 504, 533], "match_datetim": [242, 504, 533], "clear": [242, 504], "j_dwn": [242, 504], "pythonresourcedownload": [242, 504], "obj": [242, 254, 504, 515], "unzip": [242, 259, 504, 521], "filer": [242, 504], "pdf_layout_text_stripp": [244, 245, 506], "pdf_text_stripp": [244, 245, 506], "excludenontext": [244, 247, 250, 509, 512], "setexcludenontext": [244, 247, 250, 509, 512], "customprompttempl": [244, 248, 250, 510, 512], "prompttempl": [244, 248, 250, 510, 512], "setcustomprompttempl": [244, 248, 250, 510, 512], "setprompttempl": [244, 248, 250, 510, 512], "setusermessag": [244, 248, 250, 510, 512], "usermessag": [244, 248, 250, 510, 512], "pdflayouttextstripp": [245, 506], "pdftextstripp": [245, 506], "hasinputcol": 246, "hasoutputcol": 246, "pdf_path": [246, 508], "data_fram": [246, 508], "binaryfil": [246, 508], "pdf_df": [246, 251, 508, 513], "modificationtim": [246, 508], "paula": [246, 508], "2025": [246, 508], "height_dimens": [246, 508], "width_dimens": [246, 508], "pagenum": [246, 508], "pdf_directori": [247, 509], "empty_data_set": [247, 250, 509, 512], "result_df": [247, 250, 509, 512], "pagenumb": [247, 251, 509, 513], "filenam": [247, 248, 250, 509, 510, 512], "68": [247, 509], "markdown": [248, 251, 510, 513], "orchestr": [250, 512], "fallback": [250, 512], "simplifi": [250, 251, 512, 513], "fault": [250, 512], "toler": [250, 512], "concis": [250, 512], "document_text": [250, 512], "document_imag": [250, 512], "heterogen": [250, 512], "spreadsheet": [250, 512], "invok": [250, 512], "appropri": [250, 512], "html_df": [251, 513], "Or": [251, 513], "shorthand": [251, 513], "email_df": [251, 513], "csvpath": [251, 513], "docpath": [251, 513], "csv_df": [251, 513], "alic": [251, 513], "bob": [251, 513], "tr": [251, 513], "td": [251, 513], "doc_df": [251, 513], "filepath": [251, 513], "sent_to": [251, 513], "danilo": [251, 513], "htmlpath": [251, 513], "illustr": [251, 513], "literatur": [251, 513], "permiss": [251, 513], "md_df": [251, 513], "elementid": [251, 513], "pdfpath": [251, 513], "pptdf": [251, 513], "txtdf": [251, 513], "analyt": [251, 513], "xlsdf": [251, 513], "financi": [251, 513], "sheetnam": [251, 513], "xml_df": [251, 513], "smith": [251, 513], "readjsonfil": [252, 257, 519], "documentcol": [253, 254, 514, 515], "sentencecol": [253, 254, 514, 515], "tokencol": [253, 514], "conlllabelindex": [253, 514], "conllposindex": [253, 514], "conlldocidcol": [253, 514], "doc_id": [253, 256, 514, 518], "labelcol": [253, 514], "includedocid": [253, 514], "docstart": [253, 514, 534], "eu": [253, 514, 534], "np": [253, 514, 534], "vp": [253, 514, 534], "misc": [253, 514, 534], "boycott": [253, 514, 534], "british": [253, 514, 534], "lamb": [253, 514, 534], "blackburn": [253, 514], "brussel": [253, 514], "1996": [253, 514], "08": [253, 514], "storage_level": [253, 514], "storagelevel": [253, 514], "lift": [253, 514], "disk_onli": [253, 514], "uposcol": [254, 515], "upo": [254, 515], "xposcol": [254, 515], "xpo": [254, 515], "sent_id": [254, 515], "sell": [254, 515], "pron": [254, 515], "nom": [254, 515], "plur": [254, 515], "_": [254, 515], "tens": [254, 515], "conj": [254, 515], "cc": [254, 515], "spaceaft": [254, 515], "punct": [254, 515], "conllufil": [254, 515, 534], "conlldataset": [254, 515, 534], "morph": [254, 515], "Into": [254, 515], "googleo": [254, 515], "sconj": [254, 515], "propn": [254, 515], "adp": [254, 515], "wp": [254, 515], "vbd": [254, 255, 515, 517, 534], "ago": [255, 517, 534], "posdf": [255, 517], "61": [255, 517], "67": [255, 256, 517, 518, 534], "nonexecut": [255, 517], "76": [255, 517], "director": [255, 517], "84": [255, 517], "outputposcol": [255, 517], "outputdocumentcol": [255, 517], "outputtextcol": [255, 517], "medic": [256, 518, 534], "medment": [256, 518, 534], "25763772": [256, 518, 534], "dctn4": [256, 518, 534], "t116": [256, 518, 534], "t123": [256, 518, 534], "c4308010": [256, 518, 534], "63": [256, 518, 534], "chronic": [256, 518, 534], "pseudomona": [256, 518, 534], "aeruginosa": [256, 518, 534], "infect": [256, 518, 534], "t047": [256, 518, 534], "c0854135": [256, 518, 534], "82": [256, 518, 534], "cystic": [256, 518, 534], "fibrosi": [256, 518, 534], "c0010674": [256, 518, 534], "120": [256, 518, 534], "pa": [256, 518, 534], "124": [256, 518, 534], "139": [256, 518, 534], "pubtatorfil": [256, 518], "corpus_pubtator_sampl": [256, 518], "pubtatordataset": [256, 518], "finished_token": [256, 518, 529], "finished_po": [256, 518], "finished_n": [256, 518], "finished_token_metadata": [256, 518], "finished_pos_metadata": [256, 518], "finished_label_metadata": [256, 518], "mo": [256, 518], "ispaddedtoken": [256, 518], "token_spac": [257, 519], "sentence_end": [257, 519], "spaci": [257, 519], "multi_doc_token": [257, 519], "went": [257, 519], "night": [257, 519], "bought": [257, 519], "54": [257, 519], "jsonfilepath": [257, 519], "model_data": [259, 521], "dictionary_for_upload": [259, 521], "model_zip_path": [259, 521], "pythoncod": [259, 521], "git_token": [259, 521], "predictedent": [259, 521], "sparknlpvers": [259, 521], "howtous": [259, 521], "livedemo": [259, 521], "runincolab": [259, 521], "scalacod": [259, 521], "nlucod": [259, 521], "datasourc": [259, 521], "includedmodel": [259, 521], "info": [259, 521], "zip_path": [259, 521], "zip": [259, 521], "folder_path": [259, 521], "binarytyp": 260, "quick": [261, 524, 529], "pypi": 261, "pip": 261, "anaconda": 261, "shell": 261, "compil": 261, "sbt": 261, "assembli": 261, "oracl": 261, "openjdk": 261, "0_292": 261, "sparknlp": [261, 524, 527, 528, 529, 530, 532, 533, 534], "python3": 261, "bin": 261, "cheat": 262, "guid": [262, 525], "py": [320, 441, 475, 476, 485, 491, 495, 511], "subclass": [320, 349, 441, 476, 491, 495, 511], "ins": [320, 441, 476, 495], "uid": [320, 441, 476, 495], "documenttokensplittertestspec": 349, "methodnam": 349, "runtest": 349, "fixtur": 349, "testcas": 349, "constructor": 349, "author": 349, "deconstruct": 349, "setup": 349, "teardown": 349, "__init__": 349, "signatur": 349, "failureexcept": 349, "assert": 349, "deem": 349, "longmessag": 349, "repr": 349, "failur": 349, "maxdiff": 349, "diff": 349, "difflib": 349, "hook": 349, "exercis": 349, "test_run": 349, "sbd": 384, "dictionary_path": [445, 446], "py4j": [465, 466, 495], "java_gatewai": [465, 466, 495], "mixin": 490, "javaparam": 490, "_java_obj": [491, 511], "sc": 492, "tf_graph": 520, "tf_graph_1x": 520, "overview": [523, 531], "dedic": 524, "account": 524, "inspect": 524, "init": 524, "sparknlp_experi": 524, "offline_directori": 524, "later": 524, "record": 525, "registri": 525, "central": 525, "send": 526, "mlflow": 526, "clearli": 527, "explain_document_ml": [527, 532, 533], "approx": [527, 532, 533], "mb": [527, 532, 533], "ok": [527, 532, 533], "spearhead": 528, "declar": 528, "accordingli": 528, "extra_loc": 528, "classifierdl_use_trec50": 528, "classifierdl_use_spam": 528, "column_nam": 528, "interchang": 529, "road": 529, "proce": 529, "constantli": 533, "train_po": 534, "training_conl": 534, "train_corpu": 534, "withcolumnrenam": 534, "trainingpubtatordf": 534, "corpus_pubt": 534}, "objects": {"": [[489, 0, 0, "-", "sparknlp"]], "sparknlp": [[263, 0, 0, "-", "annotation"], [264, 0, 0, "-", "annotation_audio"], [265, 0, 0, "-", "annotation_image"], [384, 0, 0, "-", "annotator"], [489, 4, 1, "", "annotators"], [468, 0, 0, "-", "base"], [481, 0, 0, "-", "common"], [489, 4, 1, "", "embeddings"], [488, 0, 0, "-", "functions"], [493, 0, 0, "-", "internal"], [497, 0, 0, "-", "logging"], [498, 0, 0, "-", "partition"], [502, 0, 0, "-", "pretrained"], [489, 5, 1, "", "read"], [507, 0, 0, "-", "reader"], [489, 5, 1, "", "start"], [516, 0, 0, "-", "training"], [521, 0, 0, "-", "upload_to_hub"], [522, 0, 0, "-", "util"], [489, 5, 1, "", "version"]], "sparknlp.annotation": [[263, 1, 1, "", "Annotation"]], "sparknlp.annotation.Annotation": [[263, 2, 1, "", "annotatorType"], [263, 3, 1, "", "arrayType"], [263, 2, 1, "", "begin"], [263, 3, 1, "", "copy"], [263, 3, 1, "", "dataType"], [263, 2, 1, "", "embeddings"], [263, 2, 1, "", "end"], [263, 3, 1, "", "fromRow"], [263, 2, 1, "", "metadata"], [263, 2, 1, "", "result"], [263, 3, 1, "", "toRow"]], "sparknlp.annotation_audio": [[264, 1, 1, "", "AnnotationAudio"]], "sparknlp.annotation_audio.AnnotationAudio": [[264, 2, 1, "", "annotatorType"], [264, 3, 1, "", "copy"], [264, 2, 1, "", "metadata"], [264, 2, 1, "", "result"]], "sparknlp.annotation_image": [[265, 1, 1, "", "AnnotationImage"]], "sparknlp.annotation_image.AnnotationImage": [[265, 2, 1, "", "annotatorType"], [265, 3, 1, "", "copy"], [265, 2, 1, "", "height"], [265, 2, 1, "", "metadata"], [265, 2, 1, "", "mode"], [265, 2, 1, "", "nChannels"], [265, 2, 1, "", "origin"], [265, 2, 1, "", "result"], [265, 2, 1, "", "width"]], "sparknlp.annotator": [[384, 4, 1, "", "annotators"], [384, 4, 1, "", "audio"], [267, 0, 0, "-", "audio"], [270, 0, 0, "-", "chunk2_doc"], [271, 0, 0, "-", "chunker"], [384, 4, 1, "", "classifier"], [297, 0, 0, "-", "classifier_dl"], [321, 0, 0, "-", "cleaners"], [384, 4, 1, "", "coref"], [322, 0, 0, "-", "coref"], [384, 4, 1, "", "cv"], [329, 0, 0, "-", "cv"], [341, 0, 0, "-", "dataframe_optimizer"], [342, 0, 0, "-", "date2_chunk"], [344, 0, 0, "-", "dependency"], [346, 0, 0, "-", "document_character_text_splitter"], [347, 0, 0, "-", "document_normalizer"], [348, 0, 0, "-", "document_token_splitter"], [349, 0, 0, "-", "document_token_splitter_test"], [384, 4, 1, "", "embeddings"], [363, 0, 0, "-", "embeddings"], [384, 4, 1, "", "er"], [382, 0, 0, "-", "er"], [383, 0, 0, "-", "graph_extraction"], [384, 4, 1, "", "keyword"], [385, 0, 0, "-", "keyword_extraction"], [384, 4, 1, "", "ld"], [387, 0, 0, "-", "ld_dl"], [389, 0, 0, "-", "lemmatizer"], [392, 0, 0, "-", "matcher"], [396, 0, 0, "-", "n_gram_generator"], [397, 0, 0, "-", "ner"], [405, 0, 0, "-", "normalizer"], [406, 0, 0, "-", "openai"], [411, 0, 0, "-", "param"], [384, 4, 1, "", "parser"], [412, 0, 0, "-", "pos"], [384, 4, 1, "", "regex"], [384, 4, 1, "", "sbd"], [384, 4, 1, "", "sda"], [414, 0, 0, "-", "sentence"], [384, 4, 1, "", "sentence_detector_dl"], [417, 0, 0, "-", "sentiment"], [427, 0, 0, "-", "seq2seq"], [442, 0, 0, "-", "similarity"], [384, 4, 1, "", "spell"], [444, 0, 0, "-", "spell_check"], [447, 0, 0, "-", "stemmer"], [448, 0, 0, "-", "stop_words_cleaner"], [449, 0, 0, "-", "tf_ner_dl_graph_builder"], [451, 0, 0, "-", "token"], [455, 0, 0, "-", "token2_chunk"], [456, 0, 0, "-", "ws"]], "sparknlp.annotator.audio": [[266, 0, 0, "-", "hubert_for_ctc"], [268, 0, 0, "-", "wav2vec2_for_ctc"], [269, 0, 0, "-", "whisper_for_ctc"]], "sparknlp.annotator.audio.hubert_for_ctc": [[266, 1, 1, "", "HubertForCTC"]], "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC": [[266, 2, 1, "", "configProtoBytes"], [266, 2, 1, "", "inputAnnotatorTypes"], [266, 3, 1, "", "loadSavedModel"], [266, 2, 1, "", "name"], [266, 2, 1, "", "outputAnnotatorType"], [266, 3, 1, "", "pretrained"], [266, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.audio.wav2vec2_for_ctc": [[268, 1, 1, "", "Wav2Vec2ForCTC"]], "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC": [[268, 2, 1, "", "configProtoBytes"], [268, 2, 1, "", "inputAnnotatorTypes"], [268, 3, 1, "", "loadSavedModel"], [268, 2, 1, "", "name"], [268, 2, 1, "", "outputAnnotatorType"], [268, 3, 1, "", "pretrained"], [268, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.audio.whisper_for_ctc": [[269, 1, 1, "", "WhisperForCTC"]], "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC": [[269, 2, 1, "", "configProtoBytes"], [269, 3, 1, "", "getIsMultilingual"], [269, 3, 1, "", "getLanguage"], [269, 2, 1, "", "inputAnnotatorTypes"], [269, 2, 1, "", "isMultilingual"], [269, 2, 1, "", "language"], [269, 3, 1, "", "loadSavedModel"], [269, 2, 1, "", "name"], [269, 2, 1, "", "outputAnnotatorType"], [269, 3, 1, "", "pretrained"], [269, 3, 1, "", "setConfigProtoBytes"], [269, 3, 1, "", "setLanguage"], [269, 3, 1, "", "setTask"]], "sparknlp.annotator.chunk2_doc": [[270, 1, 1, "", "Chunk2Doc"]], "sparknlp.annotator.chunk2_doc.Chunk2Doc": [[270, 2, 1, "", "inputAnnotatorTypes"], [270, 2, 1, "", "name"], [270, 2, 1, "", "outputAnnotatorType"], [270, 3, 1, "", "setParams"]], "sparknlp.annotator.chunker": [[271, 1, 1, "", "Chunker"]], "sparknlp.annotator.chunker.Chunker": [[271, 2, 1, "", "inputAnnotatorTypes"], [271, 2, 1, "", "name"], [271, 2, 1, "", "outputAnnotatorType"], [271, 2, 1, "", "regexParsers"], [271, 3, 1, "", "setRegexParsers"]], "sparknlp.annotator.classifier_dl": [[272, 0, 0, "-", "albert_for_multiple_choice"], [273, 0, 0, "-", "albert_for_question_answering"], [274, 0, 0, "-", "albert_for_sequence_classification"], [275, 0, 0, "-", "albert_for_token_classification"], [276, 0, 0, "-", "albert_for_zero_shot_classification"], [277, 0, 0, "-", "bart_for_zero_shot_classification"], [278, 0, 0, "-", "bert_for_multiple_choice"], [279, 0, 0, "-", "bert_for_question_answering"], [280, 0, 0, "-", "bert_for_sequence_classification"], [281, 0, 0, "-", "bert_for_token_classification"], [282, 0, 0, "-", "bert_for_zero_shot_classification"], [283, 0, 0, "-", "camembert_for_question_answering"], [284, 0, 0, "-", "camembert_for_sequence_classification"], [285, 0, 0, "-", "camembert_for_token_classification"], [286, 0, 0, "-", "camembert_for_zero_shot_classification"], [287, 0, 0, "-", "classifier_dl"], [288, 0, 0, "-", "deberta_for_question_answering"], [289, 0, 0, "-", "deberta_for_sequence_classification"], [290, 0, 0, "-", "deberta_for_token_classification"], [291, 0, 0, "-", "deberta_for_zero_shot_classification"], [292, 0, 0, "-", "distil_bert_for_question_answering"], [293, 0, 0, "-", "distil_bert_for_sequence_classification"], [294, 0, 0, "-", "distil_bert_for_token_classification"], [295, 0, 0, "-", "distil_bert_for_zero_shot_classification"], [296, 0, 0, "-", "distilbert_for_multiple_choice"], [298, 0, 0, "-", "longformer_for_question_answering"], [299, 0, 0, "-", "longformer_for_sequence_classification"], [300, 0, 0, "-", "longformer_for_token_classification"], [301, 0, 0, "-", "mpnet_for_question_answering"], [302, 0, 0, "-", "mpnet_for_sequence_classification"], [303, 0, 0, "-", "mpnet_for_token_classification"], [304, 0, 0, "-", "multi_classifier_dl"], [305, 0, 0, "-", "roberta_for_multiple_choice"], [306, 0, 0, "-", "roberta_for_question_answering"], [307, 0, 0, "-", "roberta_for_sequence_classification"], [308, 0, 0, "-", "roberta_for_token_classification"], [309, 0, 0, "-", "roberta_for_zero_shot_classification"], [310, 0, 0, "-", "sentiment_dl"], [311, 0, 0, "-", "tapas_for_question_answering"], [312, 0, 0, "-", "xlm_roberta_for_multiple_choice"], [313, 0, 0, "-", "xlm_roberta_for_question_answering"], [314, 0, 0, "-", "xlm_roberta_for_sequence_classification"], [315, 0, 0, "-", "xlm_roberta_for_token_classification"], [316, 0, 0, "-", "xlm_roberta_for_zero_shot_classification"], [317, 0, 0, "-", "xlnet_for_sequence_classification"], [318, 0, 0, "-", "xlnet_for_token_classification"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice": [[272, 1, 1, "", "AlbertForMultipleChoice"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice": [[272, 2, 1, "", "choicesDelimiter"], [272, 2, 1, "", "inputAnnotatorTypes"], [272, 3, 1, "", "loadSavedModel"], [272, 2, 1, "", "name"], [272, 2, 1, "", "outputAnnotatorType"], [272, 3, 1, "", "pretrained"], [272, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering": [[273, 1, 1, "", "AlbertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering": [[273, 2, 1, "", "coalesceSentences"], [273, 2, 1, "", "configProtoBytes"], [273, 2, 1, "", "inputAnnotatorTypes"], [273, 3, 1, "", "loadSavedModel"], [273, 2, 1, "", "name"], [273, 2, 1, "", "outputAnnotatorType"], [273, 3, 1, "", "pretrained"], [273, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification": [[274, 1, 1, "", "AlbertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification": [[274, 2, 1, "", "coalesceSentences"], [274, 2, 1, "", "configProtoBytes"], [274, 3, 1, "", "getClasses"], [274, 2, 1, "", "inputAnnotatorTypes"], [274, 3, 1, "", "loadSavedModel"], [274, 2, 1, "", "name"], [274, 2, 1, "", "outputAnnotatorType"], [274, 3, 1, "", "pretrained"], [274, 3, 1, "", "setCoalesceSentences"], [274, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification": [[275, 1, 1, "", "AlbertForTokenClassification"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification": [[275, 2, 1, "", "configProtoBytes"], [275, 3, 1, "", "getClasses"], [275, 2, 1, "", "inputAnnotatorTypes"], [275, 3, 1, "", "loadSavedModel"], [275, 2, 1, "", "name"], [275, 2, 1, "", "outputAnnotatorType"], [275, 3, 1, "", "pretrained"], [275, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification": [[276, 1, 1, "", "AlbertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification": [[276, 2, 1, "", "coalesceSentences"], [276, 2, 1, "", "configProtoBytes"], [276, 3, 1, "", "getClasses"], [276, 2, 1, "", "inputAnnotatorTypes"], [276, 3, 1, "", "loadSavedModel"], [276, 2, 1, "", "name"], [276, 2, 1, "", "outputAnnotatorType"], [276, 3, 1, "", "pretrained"], [276, 3, 1, "", "setCoalesceSentences"], [276, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification": [[277, 1, 1, "", "BartForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification": [[277, 2, 1, "", "coalesceSentences"], [277, 2, 1, "", "configProtoBytes"], [277, 3, 1, "", "getClasses"], [277, 2, 1, "", "inputAnnotatorTypes"], [277, 3, 1, "", "loadSavedModel"], [277, 2, 1, "", "maxSentenceLength"], [277, 2, 1, "", "name"], [277, 2, 1, "", "outputAnnotatorType"], [277, 3, 1, "", "pretrained"], [277, 3, 1, "", "setCoalesceSentences"], [277, 3, 1, "", "setConfigProtoBytes"], [277, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice": [[278, 1, 1, "", "BertForMultipleChoice"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice": [[278, 2, 1, "", "choicesDelimiter"], [278, 2, 1, "", "inputAnnotatorTypes"], [278, 3, 1, "", "loadSavedModel"], [278, 2, 1, "", "name"], [278, 2, 1, "", "outputAnnotatorType"], [278, 3, 1, "", "pretrained"], [278, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering": [[279, 1, 1, "", "BertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering": [[279, 2, 1, "", "coalesceSentences"], [279, 2, 1, "", "configProtoBytes"], [279, 2, 1, "", "inputAnnotatorTypes"], [279, 3, 1, "", "loadSavedModel"], [279, 2, 1, "", "name"], [279, 2, 1, "", "outputAnnotatorType"], [279, 3, 1, "", "pretrained"], [279, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification": [[280, 1, 1, "", "BertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification": [[280, 2, 1, "", "coalesceSentences"], [280, 2, 1, "", "configProtoBytes"], [280, 3, 1, "", "getClasses"], [280, 2, 1, "", "inputAnnotatorTypes"], [280, 3, 1, "", "loadSavedModel"], [280, 2, 1, "", "name"], [280, 2, 1, "", "outputAnnotatorType"], [280, 3, 1, "", "pretrained"], [280, 3, 1, "", "setCoalesceSentences"], [280, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification": [[281, 1, 1, "", "BertForTokenClassification"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification": [[281, 2, 1, "", "configProtoBytes"], [281, 3, 1, "", "getClasses"], [281, 2, 1, "", "inputAnnotatorTypes"], [281, 3, 1, "", "loadSavedModel"], [281, 2, 1, "", "name"], [281, 2, 1, "", "outputAnnotatorType"], [281, 3, 1, "", "pretrained"], [281, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification": [[282, 1, 1, "", "BertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification": [[282, 2, 1, "", "coalesceSentences"], [282, 2, 1, "", "configProtoBytes"], [282, 3, 1, "", "getClasses"], [282, 2, 1, "", "inputAnnotatorTypes"], [282, 3, 1, "", "loadSavedModel"], [282, 2, 1, "", "name"], [282, 2, 1, "", "outputAnnotatorType"], [282, 3, 1, "", "pretrained"], [282, 3, 1, "", "setCoalesceSentences"], [282, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering": [[283, 1, 1, "", "CamemBertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering": [[283, 2, 1, "", "coalesceSentences"], [283, 2, 1, "", "configProtoBytes"], [283, 2, 1, "", "inputAnnotatorTypes"], [283, 3, 1, "", "loadSavedModel"], [283, 2, 1, "", "name"], [283, 2, 1, "", "outputAnnotatorType"], [283, 3, 1, "", "pretrained"], [283, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification": [[284, 1, 1, "", "CamemBertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification": [[284, 2, 1, "", "coalesceSentences"], [284, 2, 1, "", "configProtoBytes"], [284, 3, 1, "", "getClasses"], [284, 2, 1, "", "inputAnnotatorTypes"], [284, 3, 1, "", "loadSavedModel"], [284, 2, 1, "", "name"], [284, 2, 1, "", "outputAnnotatorType"], [284, 3, 1, "", "pretrained"], [284, 3, 1, "", "setCoalesceSentences"], [284, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification": [[285, 1, 1, "", "CamemBertForTokenClassification"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification": [[285, 2, 1, "", "configProtoBytes"], [285, 3, 1, "", "getClasses"], [285, 2, 1, "", "inputAnnotatorTypes"], [285, 3, 1, "", "loadSavedModel"], [285, 2, 1, "", "name"], [285, 2, 1, "", "outputAnnotatorType"], [285, 3, 1, "", "pretrained"], [285, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification": [[286, 1, 1, "", "CamemBertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification": [[286, 2, 1, "", "coalesceSentences"], [286, 2, 1, "", "configProtoBytes"], [286, 3, 1, "", "getClasses"], [286, 2, 1, "", "inputAnnotatorTypes"], [286, 3, 1, "", "loadSavedModel"], [286, 2, 1, "", "name"], [286, 2, 1, "", "outputAnnotatorType"], [286, 3, 1, "", "pretrained"], [286, 3, 1, "", "setCoalesceSentences"], [286, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.classifier_dl": [[287, 1, 1, "", "ClassifierDLApproach"], [287, 1, 1, "", "ClassifierDLModel"]], "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach": [[287, 2, 1, "", "dropout"], [287, 2, 1, "", "inputAnnotatorTypes"], [287, 2, 1, "", "outputAnnotatorType"], [287, 3, 1, "", "setDropout"]], "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel": [[287, 2, 1, "", "classes"], [287, 2, 1, "", "configProtoBytes"], [287, 2, 1, "", "inputAnnotatorTypes"], [287, 2, 1, "", "name"], [287, 2, 1, "", "outputAnnotatorType"], [287, 3, 1, "", "pretrained"], [287, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering": [[288, 1, 1, "", "DeBertaForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering": [[288, 2, 1, "", "coalesceSentences"], [288, 2, 1, "", "configProtoBytes"], [288, 2, 1, "", "inputAnnotatorTypes"], [288, 3, 1, "", "loadSavedModel"], [288, 2, 1, "", "name"], [288, 2, 1, "", "outputAnnotatorType"], [288, 3, 1, "", "pretrained"], [288, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification": [[289, 1, 1, "", "DeBertaForSequenceClassification"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification": [[289, 2, 1, "", "coalesceSentences"], [289, 2, 1, "", "configProtoBytes"], [289, 3, 1, "", "getClasses"], [289, 2, 1, "", "inputAnnotatorTypes"], [289, 3, 1, "", "loadSavedModel"], [289, 2, 1, "", "name"], [289, 2, 1, "", "outputAnnotatorType"], [289, 3, 1, "", "pretrained"], [289, 3, 1, "", "setCoalesceSentences"], [289, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification": [[290, 1, 1, "", "DeBertaForTokenClassification"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification": [[290, 2, 1, "", "configProtoBytes"], [290, 3, 1, "", "getClasses"], [290, 2, 1, "", "inputAnnotatorTypes"], [290, 3, 1, "", "loadSavedModel"], [290, 2, 1, "", "name"], [290, 2, 1, "", "outputAnnotatorType"], [290, 3, 1, "", "pretrained"], [290, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification": [[291, 1, 1, "", "DeBertaForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification": [[291, 2, 1, "", "coalesceSentences"], [291, 2, 1, "", "configProtoBytes"], [291, 3, 1, "", "getClasses"], [291, 2, 1, "", "inputAnnotatorTypes"], [291, 3, 1, "", "loadSavedModel"], [291, 2, 1, "", "name"], [291, 2, 1, "", "outputAnnotatorType"], [291, 3, 1, "", "pretrained"], [291, 3, 1, "", "setCoalesceSentences"], [291, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering": [[292, 1, 1, "", "DistilBertForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering": [[292, 2, 1, "", "coalesceSentences"], [292, 2, 1, "", "configProtoBytes"], [292, 2, 1, "", "inputAnnotatorTypes"], [292, 3, 1, "", "loadSavedModel"], [292, 2, 1, "", "name"], [292, 2, 1, "", "outputAnnotatorType"], [292, 3, 1, "", "pretrained"], [292, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification": [[293, 1, 1, "", "DistilBertForSequenceClassification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification": [[293, 2, 1, "", "coalesceSentences"], [293, 2, 1, "", "configProtoBytes"], [293, 3, 1, "", "getClasses"], [293, 2, 1, "", "inputAnnotatorTypes"], [293, 3, 1, "", "loadSavedModel"], [293, 2, 1, "", "name"], [293, 2, 1, "", "outputAnnotatorType"], [293, 3, 1, "", "pretrained"], [293, 3, 1, "", "setCoalesceSentences"], [293, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification": [[294, 1, 1, "", "DistilBertForTokenClassification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification": [[294, 2, 1, "", "configProtoBytes"], [294, 3, 1, "", "getClasses"], [294, 2, 1, "", "inputAnnotatorTypes"], [294, 3, 1, "", "loadSavedModel"], [294, 2, 1, "", "name"], [294, 2, 1, "", "outputAnnotatorType"], [294, 3, 1, "", "pretrained"], [294, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification": [[295, 1, 1, "", "DistilBertForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification": [[295, 2, 1, "", "coalesceSentences"], [295, 2, 1, "", "configProtoBytes"], [295, 3, 1, "", "getClasses"], [295, 2, 1, "", "inputAnnotatorTypes"], [295, 3, 1, "", "loadSavedModel"], [295, 2, 1, "", "name"], [295, 2, 1, "", "outputAnnotatorType"], [295, 3, 1, "", "pretrained"], [295, 3, 1, "", "setCoalesceSentences"], [295, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice": [[296, 1, 1, "", "DistilBertForMultipleChoice"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice": [[296, 2, 1, "", "choicesDelimiter"], [296, 2, 1, "", "inputAnnotatorTypes"], [296, 3, 1, "", "loadSavedModel"], [296, 2, 1, "", "name"], [296, 2, 1, "", "outputAnnotatorType"], [296, 3, 1, "", "pretrained"], [296, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering": [[298, 1, 1, "", "LongformerForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering": [[298, 2, 1, "", "coalesceSentences"], [298, 2, 1, "", "configProtoBytes"], [298, 2, 1, "", "inputAnnotatorTypes"], [298, 3, 1, "", "loadSavedModel"], [298, 2, 1, "", "name"], [298, 2, 1, "", "outputAnnotatorType"], [298, 3, 1, "", "pretrained"], [298, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification": [[299, 1, 1, "", "LongformerForSequenceClassification"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification": [[299, 2, 1, "", "coalesceSentences"], [299, 2, 1, "", "configProtoBytes"], [299, 3, 1, "", "getClasses"], [299, 2, 1, "", "inputAnnotatorTypes"], [299, 3, 1, "", "loadSavedModel"], [299, 2, 1, "", "name"], [299, 2, 1, "", "outputAnnotatorType"], [299, 3, 1, "", "pretrained"], [299, 3, 1, "", "setCoalesceSentences"], [299, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification": [[300, 1, 1, "", "LongformerForTokenClassification"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification": [[300, 2, 1, "", "configProtoBytes"], [300, 3, 1, "", "getClasses"], [300, 2, 1, "", "inputAnnotatorTypes"], [300, 3, 1, "", "loadSavedModel"], [300, 2, 1, "", "name"], [300, 2, 1, "", "outputAnnotatorType"], [300, 3, 1, "", "pretrained"], [300, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering": [[301, 1, 1, "", "MPNetForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering": [[301, 2, 1, "", "inputAnnotatorTypes"], [301, 3, 1, "", "loadSavedModel"], [301, 2, 1, "", "name"], [301, 2, 1, "", "outputAnnotatorType"], [301, 3, 1, "", "pretrained"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification": [[302, 1, 1, "", "MPNetForSequenceClassification"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification": [[302, 2, 1, "", "coalesceSentences"], [302, 3, 1, "", "getClasses"], [302, 2, 1, "", "inputAnnotatorTypes"], [302, 3, 1, "", "loadSavedModel"], [302, 2, 1, "", "name"], [302, 2, 1, "", "outputAnnotatorType"], [302, 3, 1, "", "pretrained"], [302, 3, 1, "", "setCoalesceSentences"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification": [[303, 1, 1, "", "MPNetForTokenClassification"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification": [[303, 2, 1, "", "configProtoBytes"], [303, 3, 1, "", "getClasses"], [303, 2, 1, "", "inputAnnotatorTypes"], [303, 3, 1, "", "loadSavedModel"], [303, 2, 1, "", "name"], [303, 2, 1, "", "outputAnnotatorType"], [303, 3, 1, "", "pretrained"], [303, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl": [[304, 1, 1, "", "MultiClassifierDLApproach"], [304, 1, 1, "", "MultiClassifierDLModel"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach": [[304, 2, 1, "", "inputAnnotatorTypes"], [304, 2, 1, "", "outputAnnotatorType"], [304, 3, 1, "", "setShufflePerEpoch"], [304, 3, 1, "", "setThreshold"], [304, 3, 1, "", "setVerbose"], [304, 2, 1, "", "shufflePerEpoch"], [304, 2, 1, "", "threshold"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel": [[304, 2, 1, "", "classes"], [304, 2, 1, "", "configProtoBytes"], [304, 2, 1, "", "inputAnnotatorTypes"], [304, 2, 1, "", "name"], [304, 2, 1, "", "outputAnnotatorType"], [304, 3, 1, "", "pretrained"], [304, 3, 1, "", "setConfigProtoBytes"], [304, 3, 1, "", "setThreshold"], [304, 2, 1, "", "threshold"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice": [[305, 1, 1, "", "RoBertaForMultipleChoice"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice": [[305, 2, 1, "", "choicesDelimiter"], [305, 2, 1, "", "inputAnnotatorTypes"], [305, 3, 1, "", "loadSavedModel"], [305, 2, 1, "", "name"], [305, 2, 1, "", "outputAnnotatorType"], [305, 3, 1, "", "pretrained"], [305, 3, 1, "", "setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering": [[306, 1, 1, "", "RoBertaForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering": [[306, 2, 1, "", "coalesceSentences"], [306, 2, 1, "", "configProtoBytes"], [306, 2, 1, "", "inputAnnotatorTypes"], [306, 3, 1, "", "loadSavedModel"], [306, 2, 1, "", "name"], [306, 2, 1, "", "outputAnnotatorType"], [306, 3, 1, "", "pretrained"], [306, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification": [[307, 1, 1, "", "RoBertaForSequenceClassification"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification": [[307, 2, 1, "", "coalesceSentences"], [307, 2, 1, "", "configProtoBytes"], [307, 3, 1, "", "getClasses"], [307, 2, 1, "", "inputAnnotatorTypes"], [307, 3, 1, "", "loadSavedModel"], [307, 2, 1, "", "name"], [307, 2, 1, "", "outputAnnotatorType"], [307, 3, 1, "", "pretrained"], [307, 3, 1, "", "setCoalesceSentences"], [307, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification": [[308, 1, 1, "", "RoBertaForTokenClassification"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification": [[308, 2, 1, "", "configProtoBytes"], [308, 3, 1, "", "getClasses"], [308, 2, 1, "", "inputAnnotatorTypes"], [308, 3, 1, "", "loadSavedModel"], [308, 2, 1, "", "maxSentenceLength"], [308, 2, 1, "", "name"], [308, 2, 1, "", "outputAnnotatorType"], [308, 3, 1, "", "pretrained"], [308, 3, 1, "", "setConfigProtoBytes"], [308, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification": [[309, 1, 1, "", "RoBertaForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification": [[309, 2, 1, "", "coalesceSentences"], [309, 2, 1, "", "configProtoBytes"], [309, 3, 1, "", "getClasses"], [309, 2, 1, "", "inputAnnotatorTypes"], [309, 3, 1, "", "loadSavedModel"], [309, 2, 1, "", "maxSentenceLength"], [309, 2, 1, "", "name"], [309, 2, 1, "", "outputAnnotatorType"], [309, 3, 1, "", "pretrained"], [309, 3, 1, "", "setCoalesceSentences"], [309, 3, 1, "", "setConfigProtoBytes"], [309, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.sentiment_dl": [[310, 1, 1, "", "SentimentDLApproach"], [310, 1, 1, "", "SentimentDLModel"]], "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach": [[310, 2, 1, "", "dropout"], [310, 2, 1, "", "inputAnnotatorTypes"], [310, 2, 1, "", "outputAnnotatorType"], [310, 3, 1, "", "setDropout"], [310, 3, 1, "", "setThreshold"], [310, 3, 1, "", "setThresholdLabel"], [310, 2, 1, "", "threshold"], [310, 2, 1, "", "thresholdLabel"]], "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel": [[310, 2, 1, "", "classes"], [310, 2, 1, "", "configProtoBytes"], [310, 2, 1, "", "inputAnnotatorTypes"], [310, 2, 1, "", "name"], [310, 2, 1, "", "outputAnnotatorType"], [310, 3, 1, "", "pretrained"], [310, 3, 1, "", "setConfigProtoBytes"], [310, 3, 1, "", "setThreshold"], [310, 3, 1, "", "setThresholdLabel"], [310, 2, 1, "", "threshold"], [310, 2, 1, "", "thresholdLabel"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering": [[311, 1, 1, "", "TapasForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering": [[311, 2, 1, "", "inputAnnotatorTypes"], [311, 3, 1, "", "loadSavedModel"], [311, 2, 1, "", "name"], [311, 3, 1, "", "pretrained"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice": [[312, 1, 1, "", "XlmRoBertaForMultipleChoice"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice": [[312, 2, 1, "", "inputAnnotatorTypes"], [312, 3, 1, "", "loadSavedModel"], [312, 2, 1, "", "name"], [312, 2, 1, "", "outputAnnotatorType"], [312, 3, 1, "", "pretrained"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering": [[313, 1, 1, "", "XlmRoBertaForQuestionAnswering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering": [[313, 2, 1, "", "coalesceSentences"], [313, 2, 1, "", "configProtoBytes"], [313, 2, 1, "", "inputAnnotatorTypes"], [313, 3, 1, "", "loadSavedModel"], [313, 2, 1, "", "name"], [313, 2, 1, "", "outputAnnotatorType"], [313, 3, 1, "", "pretrained"], [313, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification": [[314, 1, 1, "", "XlmRoBertaForSequenceClassification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification": [[314, 2, 1, "", "coalesceSentences"], [314, 2, 1, "", "configProtoBytes"], [314, 3, 1, "", "getClasses"], [314, 2, 1, "", "inputAnnotatorTypes"], [314, 3, 1, "", "loadSavedModel"], [314, 2, 1, "", "name"], [314, 2, 1, "", "outputAnnotatorType"], [314, 3, 1, "", "pretrained"], [314, 3, 1, "", "setCoalesceSentences"], [314, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification": [[315, 1, 1, "", "XlmRoBertaForTokenClassification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification": [[315, 2, 1, "", "configProtoBytes"], [315, 3, 1, "", "getClasses"], [315, 2, 1, "", "inputAnnotatorTypes"], [315, 3, 1, "", "loadSavedModel"], [315, 2, 1, "", "name"], [315, 2, 1, "", "outputAnnotatorType"], [315, 3, 1, "", "pretrained"], [315, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification": [[316, 1, 1, "", "XlmRoBertaForZeroShotClassification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification": [[316, 2, 1, "", "coalesceSentences"], [316, 2, 1, "", "configProtoBytes"], [316, 3, 1, "", "getClasses"], [316, 2, 1, "", "inputAnnotatorTypes"], [316, 3, 1, "", "loadSavedModel"], [316, 2, 1, "", "maxSentenceLength"], [316, 2, 1, "", "name"], [316, 2, 1, "", "outputAnnotatorType"], [316, 3, 1, "", "pretrained"], [316, 3, 1, "", "setCoalesceSentences"], [316, 3, 1, "", "setConfigProtoBytes"], [316, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification": [[317, 1, 1, "", "XlnetForSequenceClassification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification": [[317, 2, 1, "", "coalesceSentences"], [317, 2, 1, "", "configProtoBytes"], [317, 3, 1, "", "getClasses"], [317, 2, 1, "", "inputAnnotatorTypes"], [317, 3, 1, "", "loadSavedModel"], [317, 2, 1, "", "name"], [317, 2, 1, "", "outputAnnotatorType"], [317, 3, 1, "", "pretrained"], [317, 3, 1, "", "setCoalesceSentences"], [317, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification": [[318, 1, 1, "", "XlnetForTokenClassification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification": [[318, 2, 1, "", "configProtoBytes"], [318, 3, 1, "", "getClasses"], [318, 2, 1, "", "inputAnnotatorTypes"], [318, 3, 1, "", "loadSavedModel"], [318, 2, 1, "", "name"], [318, 2, 1, "", "outputAnnotatorType"], [318, 3, 1, "", "pretrained"], [318, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.cleaners": [[319, 0, 0, "-", "cleaner"], [320, 0, 0, "-", "extractor"]], "sparknlp.annotator.cleaners.cleaner": [[319, 1, 1, "", "Cleaner"]], "sparknlp.annotator.cleaners.cleaner.Cleaner": [[319, 2, 1, "", "bullets"], [319, 2, 1, "", "cleanPostfixPattern"], [319, 2, 1, "", "cleanPrefixPattern"], [319, 2, 1, "", "cleanerMode"], [319, 2, 1, "", "dashes"], [319, 2, 1, "", "encoding"], [319, 2, 1, "", "extraWhitespace"], [319, 2, 1, "", "ignoreCase"], [319, 2, 1, "", "inputAnnotatorTypes"], [319, 2, 1, "", "lowercase"], [319, 2, 1, "", "name"], [319, 2, 1, "", "outputAnnotatorType"], [319, 3, 1, "", "setBullets"], [319, 3, 1, "", "setCleanPostfixPattern"], [319, 3, 1, "", "setCleanPrefixPattern"], [319, 3, 1, "", "setCleanerMode"], [319, 3, 1, "", "setDashes"], [319, 3, 1, "", "setEncoding"], [319, 3, 1, "", "setExtraWhitespace"], [319, 3, 1, "", "setIgnoreCase"], [319, 3, 1, "", "setLowercase"], [319, 3, 1, "", "setStrip"], [319, 3, 1, "", "setTrailingPunctuation"], [319, 2, 1, "", "strip"], [319, 2, 1, "", "trailingPunctuation"]], "sparknlp.annotator.cleaners.extractor": [[320, 1, 1, "", "Extractor"]], "sparknlp.annotator.cleaners.extractor.Extractor": [[320, 2, 1, "", "emailAddress"], [320, 2, 1, "", "emailDateTimeTzPattern"], [320, 2, 1, "", "extractorMode"], [320, 2, 1, "", "imageUrlPattern"], [320, 2, 1, "", "index"], [320, 2, 1, "", "inputAnnotatorTypes"], [320, 2, 1, "", "ipAddressNamePattern"], [320, 2, 1, "", "ipAddressPattern"], [320, 2, 1, "", "mapiIdPattern"], [320, 2, 1, "", "name"], [320, 2, 1, "", "outputAnnotatorType"], [320, 3, 1, "", "setEmailAddress"], [320, 3, 1, "", "setEmailDateTimeTzPattern"], [320, 3, 1, "", "setExtractorMode"], [320, 3, 1, "", "setImageUrlPattern"], [320, 3, 1, "", "setIndex"], [320, 3, 1, "", "setIpAddressNamePattern"], [320, 3, 1, "", "setIpAddressPattern"], [320, 3, 1, "", "setMapiIdPattern"], [320, 3, 1, "", "setTextPattern"], [320, 3, 1, "", "setUsPhoneNumbersPattern"], [320, 2, 1, "", "textPattern"], [320, 2, 1, "", "usPhoneNumbersPattern"]], "sparknlp.annotator.coref": [[323, 0, 0, "-", "spanbert_coref"]], "sparknlp.annotator.coref.spanbert_coref": [[323, 1, 1, "", "SpanBertCorefModel"]], "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel": [[323, 2, 1, "", "configProtoBytes"], [323, 2, 1, "", "inputAnnotatorTypes"], [323, 3, 1, "", "loadSavedModel"], [323, 2, 1, "", "maxSegmentLength"], [323, 2, 1, "", "name"], [323, 2, 1, "", "outputAnnotatorType"], [323, 3, 1, "", "pretrained"], [323, 3, 1, "", "setConfigProtoBytes"], [323, 3, 1, "", "setMaxSegmentLength"], [323, 3, 1, "", "setTextGenre"], [323, 2, 1, "", "textGenre"]], "sparknlp.annotator.cv": [[324, 0, 0, "-", "blip_for_question_answering"], [325, 0, 0, "-", "clip_for_zero_shot_classification"], [326, 0, 0, "-", "convnext_for_image_classification"], [327, 0, 0, "-", "florence2_transformer"], [328, 0, 0, "-", "gemma3_for_multimodal"], [330, 0, 0, "-", "internvl_for_multimodal"], [331, 0, 0, "-", "janus_for_multimodal"], [332, 0, 0, "-", "llava_for_multimodal"], [333, 0, 0, "-", "mllama_for_multimodal"], [334, 0, 0, "-", "paligemma_for_multimodal"], [335, 0, 0, "-", "phi3_vision_for_multimodal"], [336, 0, 0, "-", "qwen2vl_transformer"], [337, 0, 0, "-", "smolvlm_transformer"], [338, 0, 0, "-", "swin_for_image_classification"], [339, 0, 0, "-", "vision_encoder_decoder_for_image_captioning"], [340, 0, 0, "-", "vit_for_image_classification"]], "sparknlp.annotator.cv.blip_for_question_answering": [[324, 1, 1, "", "BLIPForQuestionAnswering"]], "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering": [[324, 2, 1, "", "configProtoBytes"], [324, 2, 1, "", "inputAnnotatorTypes"], [324, 3, 1, "", "loadSavedModel"], [324, 2, 1, "", "maxSentenceLength"], [324, 2, 1, "", "name"], [324, 2, 1, "", "outputAnnotatorType"], [324, 3, 1, "", "pretrained"], [324, 3, 1, "", "setMaxSentenceSize"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification": [[325, 1, 1, "", "CLIPForZeroShotClassification"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification": [[325, 2, 1, "", "configProtoBytes"], [325, 3, 1, "", "getCandidateLabels"], [325, 2, 1, "", "inputAnnotatorTypes"], [325, 3, 1, "", "loadSavedModel"], [325, 2, 1, "", "name"], [325, 2, 1, "", "outputAnnotatorType"], [325, 3, 1, "", "pretrained"]], "sparknlp.annotator.cv.convnext_for_image_classification": [[326, 1, 1, "", "ConvNextForImageClassification"]], "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification": [[326, 2, 1, "", "configProtoBytes"], [326, 2, 1, "", "cropPct"], [326, 2, 1, "", "doRescale"], [326, 3, 1, "", "getClasses"], [326, 2, 1, "", "inputAnnotatorTypes"], [326, 3, 1, "", "loadSavedModel"], [326, 2, 1, "", "name"], [326, 2, 1, "", "outputAnnotatorType"], [326, 3, 1, "", "pretrained"], [326, 2, 1, "", "rescaleFactor"], [326, 3, 1, "", "setConfigProtoBytes"], [326, 3, 1, "", "setCropPct"], [326, 3, 1, "", "setDoRescale"], [326, 3, 1, "", "setRescaleFactor"]], "sparknlp.annotator.cv.florence2_transformer": [[327, 1, 1, "", "Florence2Transformer"]], "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer": [[327, 2, 1, "", "batchSize"], [327, 2, 1, "", "beamSize"], [327, 2, 1, "", "doSample"], [327, 2, 1, "", "ignoreTokenIds"], [327, 2, 1, "", "inputAnnotatorTypes"], [327, 3, 1, "", "loadSavedModel"], [327, 2, 1, "", "maxOutputLength"], [327, 2, 1, "", "minOutputLength"], [327, 2, 1, "", "name"], [327, 2, 1, "", "noRepeatNgramSize"], [327, 2, 1, "", "outputAnnotatorType"], [327, 3, 1, "", "pretrained"], [327, 2, 1, "", "repetitionPenalty"], [327, 3, 1, "", "setBatchSize"], [327, 3, 1, "", "setBeamSize"], [327, 3, 1, "", "setDoSample"], [327, 3, 1, "", "setIgnoreTokenIds"], [327, 3, 1, "", "setMaxOutputLength"], [327, 3, 1, "", "setMinOutputLength"], [327, 3, 1, "", "setNoRepeatNgramSize"], [327, 3, 1, "", "setRepetitionPenalty"], [327, 3, 1, "", "setTemperature"], [327, 3, 1, "", "setTopK"], [327, 3, 1, "", "setTopP"], [327, 2, 1, "", "temperature"], [327, 2, 1, "", "topK"], [327, 2, 1, "", "topP"]], "sparknlp.annotator.cv.gemma3_for_multimodal": [[328, 1, 1, "", "Gemma3ForMultiModal"]], "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal": [[328, 2, 1, "", "beamSize"], [328, 2, 1, "", "configProtoBytes"], [328, 2, 1, "", "doSample"], [328, 2, 1, "", "ignoreTokenIds"], [328, 2, 1, "", "inputAnnotatorTypes"], [328, 3, 1, "", "loadSavedModel"], [328, 2, 1, "", "maxInputLength"], [328, 2, 1, "", "maxOutputLength"], [328, 2, 1, "", "minOutputLength"], [328, 2, 1, "", "name"], [328, 2, 1, "", "noRepeatNgramSize"], [328, 2, 1, "", "outputAnnotatorType"], [328, 3, 1, "", "pretrained"], [328, 2, 1, "", "repetitionPenalty"], [328, 3, 1, "", "setBeamSize"], [328, 3, 1, "", "setConfigProtoBytes"], [328, 3, 1, "", "setDoSample"], [328, 3, 1, "", "setIgnoreTokenIds"], [328, 3, 1, "", "setMaxOutputLength"], [328, 3, 1, "", "setMaxSentenceSize"], [328, 3, 1, "", "setMinOutputLength"], [328, 3, 1, "", "setNoRepeatNgramSize"], [328, 3, 1, "", "setRepetitionPenalty"], [328, 3, 1, "", "setTemperature"], [328, 3, 1, "", "setTopK"], [328, 3, 1, "", "setTopP"], [328, 2, 1, "", "temperature"], [328, 2, 1, "", "topK"], [328, 2, 1, "", "topP"]], "sparknlp.annotator.cv.internvl_for_multimodal": [[330, 1, 1, "", "InternVLForMultiModal"]], "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal": [[330, 2, 1, "", "beamSize"], [330, 2, 1, "", "doSample"], [330, 2, 1, "", "ignoreTokenIds"], [330, 2, 1, "", "inputAnnotatorTypes"], [330, 3, 1, "", "loadSavedModel"], [330, 2, 1, "", "maxOutputLength"], [330, 2, 1, "", "minOutputLength"], [330, 2, 1, "", "name"], [330, 2, 1, "", "noRepeatNgramSize"], [330, 2, 1, "", "outputAnnotatorType"], [330, 3, 1, "", "pretrained"], [330, 2, 1, "", "repetitionPenalty"], [330, 3, 1, "", "setBeamSize"], [330, 3, 1, "", "setDoSample"], [330, 3, 1, "", "setIgnoreTokenIds"], [330, 3, 1, "", "setMaxOutputLength"], [330, 3, 1, "", "setMaxSentenceSize"], [330, 3, 1, "", "setMinOutputLength"], [330, 3, 1, "", "setNoRepeatNgramSize"], [330, 3, 1, "", "setRepetitionPenalty"], [330, 3, 1, "", "setTemperature"], [330, 3, 1, "", "setTopK"], [330, 3, 1, "", "setTopP"], [330, 2, 1, "", "temperature"], [330, 2, 1, "", "topK"], [330, 2, 1, "", "topP"]], "sparknlp.annotator.cv.janus_for_multimodal": [[331, 1, 1, "", "JanusForMultiModal"]], "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal": [[331, 2, 1, "", "beamSize"], [331, 2, 1, "", "configProtoBytes"], [331, 2, 1, "", "doSample"], [331, 2, 1, "", "ignoreTokenIds"], [331, 2, 1, "", "imageGenerateMode"], [331, 2, 1, "", "inputAnnotatorTypes"], [331, 3, 1, "", "loadSavedModel"], [331, 2, 1, "", "maxOutputLength"], [331, 2, 1, "", "minOutputLength"], [331, 2, 1, "", "name"], [331, 2, 1, "", "noRepeatNgramSize"], [331, 2, 1, "", "numOfParallelImages"], [331, 2, 1, "", "outputAnnotatorType"], [331, 3, 1, "", "pretrained"], [331, 2, 1, "", "repetitionPenalty"], [331, 3, 1, "", "setBeamSize"], [331, 3, 1, "", "setConfigProtoBytes"], [331, 3, 1, "", "setDoSample"], [331, 3, 1, "", "setIgnoreTokenIds"], [331, 3, 1, "", "setImageGenerateMode"], [331, 3, 1, "", "setMaxOutputLength"], [331, 3, 1, "", "setMaxSentenceSize"], [331, 3, 1, "", "setMinOutputLength"], [331, 3, 1, "", "setNoRepeatNgramSize"], [331, 3, 1, "", "setNumOfParallelImages"], [331, 3, 1, "", "setRepetitionPenalty"], [331, 3, 1, "", "setTemperature"], [331, 3, 1, "", "setTopK"], [331, 3, 1, "", "setTopP"], [331, 2, 1, "", "temperature"], [331, 2, 1, "", "topK"], [331, 2, 1, "", "topP"]], "sparknlp.annotator.cv.llava_for_multimodal": [[332, 1, 1, "", "LLAVAForMultiModal"]], "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal": [[332, 2, 1, "", "beamSize"], [332, 2, 1, "", "configProtoBytes"], [332, 2, 1, "", "doSample"], [332, 2, 1, "", "ignoreTokenIds"], [332, 2, 1, "", "inputAnnotatorTypes"], [332, 3, 1, "", "loadSavedModel"], [332, 2, 1, "", "maxOutputLength"], [332, 2, 1, "", "minOutputLength"], [332, 2, 1, "", "name"], [332, 2, 1, "", "noRepeatNgramSize"], [332, 2, 1, "", "outputAnnotatorType"], [332, 3, 1, "", "pretrained"], [332, 2, 1, "", "repetitionPenalty"], [332, 3, 1, "", "setBeamSize"], [332, 3, 1, "", "setConfigProtoBytes"], [332, 3, 1, "", "setDoSample"], [332, 3, 1, "", "setIgnoreTokenIds"], [332, 3, 1, "", "setMaxOutputLength"], [332, 3, 1, "", "setMaxSentenceSize"], [332, 3, 1, "", "setMinOutputLength"], [332, 3, 1, "", "setNoRepeatNgramSize"], [332, 3, 1, "", "setRepetitionPenalty"], [332, 3, 1, "", "setTemperature"], [332, 3, 1, "", "setTopK"], [332, 3, 1, "", "setTopP"], [332, 2, 1, "", "temperature"], [332, 2, 1, "", "topK"], [332, 2, 1, "", "topP"]], "sparknlp.annotator.cv.mllama_for_multimodal": [[333, 1, 1, "", "MLLamaForMultimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal": [[333, 2, 1, "", "beamSize"], [333, 2, 1, "", "configProtoBytes"], [333, 2, 1, "", "doSample"], [333, 2, 1, "", "ignoreTokenIds"], [333, 2, 1, "", "inputAnnotatorTypes"], [333, 3, 1, "", "loadSavedModel"], [333, 2, 1, "", "maxOutputLength"], [333, 2, 1, "", "minOutputLength"], [333, 2, 1, "", "name"], [333, 2, 1, "", "noRepeatNgramSize"], [333, 2, 1, "", "outputAnnotatorType"], [333, 3, 1, "", "pretrained"], [333, 2, 1, "", "repetitionPenalty"], [333, 3, 1, "", "setBeamSize"], [333, 3, 1, "", "setConfigProtoBytes"], [333, 3, 1, "", "setDoSample"], [333, 3, 1, "", "setIgnoreTokenIds"], [333, 3, 1, "", "setMaxOutputLength"], [333, 3, 1, "", "setMaxSentenceSize"], [333, 3, 1, "", "setMinOutputLength"], [333, 3, 1, "", "setNoRepeatNgramSize"], [333, 3, 1, "", "setRepetitionPenalty"], [333, 3, 1, "", "setTemperature"], [333, 3, 1, "", "setTopK"], [333, 3, 1, "", "setTopP"], [333, 2, 1, "", "temperature"], [333, 2, 1, "", "topK"], [333, 2, 1, "", "topP"]], "sparknlp.annotator.cv.paligemma_for_multimodal": [[334, 1, 1, "", "PaliGemmaForMultiModal"]], "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal": [[334, 2, 1, "", "beamSize"], [334, 2, 1, "", "doSample"], [334, 2, 1, "", "ignoreTokenIds"], [334, 2, 1, "", "inputAnnotatorTypes"], [334, 3, 1, "", "loadSavedModel"], [334, 2, 1, "", "maxOutputLength"], [334, 2, 1, "", "minOutputLength"], [334, 2, 1, "", "name"], [334, 2, 1, "", "noRepeatNgramSize"], [334, 2, 1, "", "outputAnnotatorType"], [334, 3, 1, "", "pretrained"], [334, 2, 1, "", "repetitionPenalty"], [334, 3, 1, "", "setBeamSize"], [334, 3, 1, "", "setDoSample"], [334, 3, 1, "", "setIgnoreTokenIds"], [334, 3, 1, "", "setMaxOutputLength"], [334, 3, 1, "", "setMaxSentenceSize"], [334, 3, 1, "", "setMinOutputLength"], [334, 3, 1, "", "setNoRepeatNgramSize"], [334, 3, 1, "", "setRepetitionPenalty"], [334, 3, 1, "", "setTemperature"], [334, 3, 1, "", "setTopK"], [334, 3, 1, "", "setTopP"], [334, 2, 1, "", "temperature"], [334, 2, 1, "", "topK"], [334, 2, 1, "", "topP"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal": [[335, 1, 1, "", "Phi3Vision"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision": [[335, 2, 1, "", "beamSize"], [335, 2, 1, "", "configProtoBytes"], [335, 2, 1, "", "doSample"], [335, 2, 1, "", "ignoreTokenIds"], [335, 2, 1, "", "inputAnnotatorTypes"], [335, 3, 1, "", "loadSavedModel"], [335, 2, 1, "", "maxOutputLength"], [335, 2, 1, "", "minOutputLength"], [335, 2, 1, "", "name"], [335, 2, 1, "", "noRepeatNgramSize"], [335, 2, 1, "", "outputAnnotatorType"], [335, 3, 1, "", "pretrained"], [335, 2, 1, "", "repetitionPenalty"], [335, 3, 1, "", "setBeamSize"], [335, 3, 1, "", "setConfigProtoBytes"], [335, 3, 1, "", "setDoSample"], [335, 3, 1, "", "setIgnoreTokenIds"], [335, 3, 1, "", "setMaxOutputLength"], [335, 3, 1, "", "setMaxSentenceSize"], [335, 3, 1, "", "setMinOutputLength"], [335, 3, 1, "", "setNoRepeatNgramSize"], [335, 3, 1, "", "setRepetitionPenalty"], [335, 3, 1, "", "setTemperature"], [335, 3, 1, "", "setTopK"], [335, 3, 1, "", "setTopP"], [335, 2, 1, "", "temperature"], [335, 2, 1, "", "topK"], [335, 2, 1, "", "topP"]], "sparknlp.annotator.cv.qwen2vl_transformer": [[336, 1, 1, "", "Qwen2VLTransformer"]], "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer": [[336, 2, 1, "", "beamSize"], [336, 2, 1, "", "configProtoBytes"], [336, 2, 1, "", "doSample"], [336, 2, 1, "", "ignoreTokenIds"], [336, 2, 1, "", "inputAnnotatorTypes"], [336, 3, 1, "", "loadSavedModel"], [336, 2, 1, "", "maxOutputLength"], [336, 2, 1, "", "minOutputLength"], [336, 2, 1, "", "name"], [336, 2, 1, "", "noRepeatNgramSize"], [336, 2, 1, "", "outputAnnotatorType"], [336, 3, 1, "", "pretrained"], [336, 2, 1, "", "repetitionPenalty"], [336, 3, 1, "", "setBeamSize"], [336, 3, 1, "", "setConfigProtoBytes"], [336, 3, 1, "", "setDoSample"], [336, 3, 1, "", "setIgnoreTokenIds"], [336, 3, 1, "", "setMaxOutputLength"], [336, 3, 1, "", "setMaxSentenceSize"], [336, 3, 1, "", "setMinOutputLength"], [336, 3, 1, "", "setNoRepeatNgramSize"], [336, 3, 1, "", "setRepetitionPenalty"], [336, 3, 1, "", "setTemperature"], [336, 3, 1, "", "setTopK"], [336, 3, 1, "", "setTopP"], [336, 2, 1, "", "temperature"], [336, 2, 1, "", "topK"], [336, 2, 1, "", "topP"]], "sparknlp.annotator.cv.smolvlm_transformer": [[337, 1, 1, "", "SmolVLMTransformer"]], "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer": [[337, 2, 1, "", "beamSize"], [337, 2, 1, "", "doImageSplitting"], [337, 2, 1, "", "doSample"], [337, 2, 1, "", "ignoreTokenIds"], [337, 2, 1, "", "imageToken"], [337, 2, 1, "", "inputAnnotatorTypes"], [337, 3, 1, "", "loadSavedModel"], [337, 2, 1, "", "maxImageSize"], [337, 2, 1, "", "maxOutputLength"], [337, 2, 1, "", "minOutputLength"], [337, 2, 1, "", "name"], [337, 2, 1, "", "noRepeatNgramSize"], [337, 2, 1, "", "numVisionTokens"], [337, 2, 1, "", "outputAnnotatorType"], [337, 2, 1, "", "paddingConstant"], [337, 2, 1, "", "patchSize"], [337, 3, 1, "", "pretrained"], [337, 2, 1, "", "repetitionPenalty"], [337, 3, 1, "", "setBeamSize"], [337, 3, 1, "", "setConfigProtoBytes"], [337, 3, 1, "", "setDoImageSplitting"], [337, 3, 1, "", "setDoSample"], [337, 3, 1, "", "setIgnoreTokenIds"], [337, 3, 1, "", "setImageToken"], [337, 3, 1, "", "setMaxImageSize"], [337, 3, 1, "", "setMaxOutputLength"], [337, 3, 1, "", "setMaxSentenceSize"], [337, 3, 1, "", "setMinOutputLength"], [337, 3, 1, "", "setNoRepeatNgramSize"], [337, 3, 1, "", "setNumVisionTokens"], [337, 3, 1, "", "setPaddingConstant"], [337, 3, 1, "", "setPatchSize"], [337, 3, 1, "", "setRepetitionPenalty"], [337, 3, 1, "", "setStopTokenIds"], [337, 3, 1, "", "setTemperature"], [337, 3, 1, "", "setTopK"], [337, 3, 1, "", "setTopP"], [337, 2, 1, "", "stopTokenIds"], [337, 2, 1, "", "temperature"], [337, 2, 1, "", "topK"], [337, 2, 1, "", "topP"]], "sparknlp.annotator.cv.swin_for_image_classification": [[338, 1, 1, "", "SwinForImageClassification"]], "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification": [[338, 2, 1, "", "configProtoBytes"], [338, 3, 1, "", "getClasses"], [338, 2, 1, "", "inputAnnotatorTypes"], [338, 3, 1, "", "loadSavedModel"], [338, 2, 1, "", "name"], [338, 2, 1, "", "outputAnnotatorType"], [338, 3, 1, "", "pretrained"], [338, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning": [[339, 1, 1, "", "VisionEncoderDecoderForImageCaptioning"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning": [[339, 2, 1, "", "configProtoBytes"], [339, 2, 1, "", "inputAnnotatorTypes"], [339, 3, 1, "", "loadSavedModel"], [339, 2, 1, "", "name"], [339, 2, 1, "", "outputAnnotatorType"], [339, 3, 1, "", "pretrained"], [339, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.cv.vit_for_image_classification": [[340, 1, 1, "", "ViTForImageClassification"]], "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification": [[340, 2, 1, "", "configProtoBytes"], [340, 3, 1, "", "getClasses"], [340, 2, 1, "", "inputAnnotatorTypes"], [340, 3, 1, "", "loadSavedModel"], [340, 2, 1, "", "name"], [340, 2, 1, "", "outputAnnotatorType"], [340, 3, 1, "", "pretrained"], [340, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.dataframe_optimizer": [[341, 1, 1, "", "DataFrameOptimizer"], [341, 5, 1, "", "toStringDict"]], "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer": [[341, 2, 1, "", "doCache"], [341, 2, 1, "", "executorCores"], [341, 2, 1, "", "numPartitions"], [341, 2, 1, "", "numWorkers"], [341, 2, 1, "", "outputOptions"], [341, 2, 1, "", "persistFormat"], [341, 2, 1, "", "persistPath"], [341, 3, 1, "", "setDoCache"], [341, 3, 1, "", "setExecutorCores"], [341, 3, 1, "", "setNumPartitions"], [341, 3, 1, "", "setNumWorkers"], [341, 3, 1, "", "setOutputOptions"], [341, 3, 1, "", "setParams"], [341, 3, 1, "", "setPersistFormat"], [341, 3, 1, "", "setPersistPath"]], "sparknlp.annotator.date2_chunk": [[342, 1, 1, "", "Date2Chunk"]], "sparknlp.annotator.date2_chunk.Date2Chunk": [[342, 2, 1, "", "entityName"], [342, 2, 1, "", "inputAnnotatorTypes"], [342, 2, 1, "", "name"], [342, 2, 1, "", "outputAnnotatorType"], [342, 3, 1, "", "setEntityName"]], "sparknlp.annotator.dependency": [[343, 0, 0, "-", "dependency_parser"], [345, 0, 0, "-", "typed_dependency_parser"]], "sparknlp.annotator.dependency.dependency_parser": [[343, 1, 1, "", "DependencyParserApproach"], [343, 1, 1, "", "DependencyParserModel"]], "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach": [[343, 2, 1, "", "conllU"], [343, 2, 1, "", "dependencyTreeBank"], [343, 2, 1, "", "inputAnnotatorTypes"], [343, 2, 1, "", "numberOfIterations"], [343, 2, 1, "", "outputAnnotatorType"], [343, 3, 1, "", "setConllU"], [343, 3, 1, "", "setDependencyTreeBank"], [343, 3, 1, "", "setNumberOfIterations"]], "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel": [[343, 2, 1, "", "inputAnnotatorTypes"], [343, 2, 1, "", "name"], [343, 2, 1, "", "outputAnnotatorType"], [343, 2, 1, "", "perceptron"], [343, 3, 1, "", "pretrained"]], "sparknlp.annotator.dependency.typed_dependency_parser": [[345, 1, 1, "", "TypedDependencyParserApproach"], [345, 1, 1, "", "TypedDependencyParserModel"]], "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach": [[345, 2, 1, "", "conll2009"], [345, 2, 1, "", "conllU"], [345, 2, 1, "", "inputAnnotatorTypes"], [345, 2, 1, "", "numberOfIterations"], [345, 2, 1, "", "outputAnnotatorType"], [345, 3, 1, "", "setConll2009"], [345, 3, 1, "", "setConllU"], [345, 3, 1, "", "setNumberOfIterations"]], "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel": [[345, 2, 1, "", "conllFormat"], [345, 2, 1, "", "inputAnnotatorTypes"], [345, 2, 1, "", "name"], [345, 2, 1, "", "outputAnnotatorType"], [345, 3, 1, "", "pretrained"], [345, 2, 1, "", "trainDependencyPipe"], [345, 2, 1, "", "trainOptions"], [345, 2, 1, "", "trainParameters"]], "sparknlp.annotator.document_character_text_splitter": [[346, 1, 1, "", "DocumentCharacterTextSplitter"]], "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter": [[346, 2, 1, "", "chunkOverlap"], [346, 2, 1, "", "chunkSize"], [346, 2, 1, "", "explodeSplits"], [346, 2, 1, "", "inputAnnotatorTypes"], [346, 2, 1, "", "keepSeparators"], [346, 2, 1, "", "outputAnnotatorType"], [346, 2, 1, "", "patternsAreRegex"], [346, 3, 1, "", "setChunkOverlap"], [346, 3, 1, "", "setChunkSize"], [346, 3, 1, "", "setExplodeSplits"], [346, 3, 1, "", "setKeepSeparators"], [346, 3, 1, "", "setPatternsAreRegex"], [346, 3, 1, "", "setSplitPatterns"], [346, 3, 1, "", "setTrimWhitespace"], [346, 2, 1, "", "splitPatterns"], [346, 2, 1, "", "trimWhitespace"]], "sparknlp.annotator.document_normalizer": [[347, 1, 1, "", "DocumentNormalizer"]], "sparknlp.annotator.document_normalizer.DocumentNormalizer": [[347, 2, 1, "", "action"], [347, 2, 1, "", "autoMode"], [347, 2, 1, "", "encoding"], [347, 2, 1, "", "inputAnnotatorTypes"], [347, 2, 1, "", "lowercase"], [347, 2, 1, "", "outputAnnotatorType"], [347, 2, 1, "", "patterns"], [347, 2, 1, "", "policy"], [347, 2, 1, "", "presetPattern"], [347, 2, 1, "", "replacement"], [347, 3, 1, "", "setAction"], [347, 3, 1, "", "setAutoMode"], [347, 3, 1, "", "setEncoding"], [347, 3, 1, "", "setLowercase"], [347, 3, 1, "", "setPatterns"], [347, 3, 1, "", "setPolicy"], [347, 3, 1, "", "setPresetPattern"], [347, 3, 1, "", "setReplacement"]], "sparknlp.annotator.document_token_splitter": [[348, 1, 1, "", "DocumentTokenSplitter"]], "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter": [[348, 2, 1, "", "explodeSplits"], [348, 2, 1, "", "inputAnnotatorTypes"], [348, 2, 1, "", "numTokens"], [348, 2, 1, "", "outputAnnotatorType"], [348, 3, 1, "", "setExplodeSplits"], [348, 3, 1, "", "setNumTokens"], [348, 3, 1, "", "setTokenOverlap"], [348, 3, 1, "", "setTrimWhitespace"], [348, 2, 1, "", "tokenOverlap"], [348, 2, 1, "", "trimWhitespace"]], "sparknlp.annotator.document_token_splitter_test": [[349, 1, 1, "", "DocumentTokenSplitterTestSpec"]], "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec": [[349, 3, 1, "", "setUp"], [349, 3, 1, "", "test_run"]], "sparknlp.annotator.embeddings": [[350, 0, 0, "-", "albert_embeddings"], [351, 0, 0, "-", "auto_gguf_embeddings"], [352, 0, 0, "-", "bert_embeddings"], [353, 0, 0, "-", "bert_sentence_embeddings"], [354, 0, 0, "-", "bge_embeddings"], [355, 0, 0, "-", "camembert_embeddings"], [356, 0, 0, "-", "chunk_embeddings"], [357, 0, 0, "-", "deberta_embeddings"], [358, 0, 0, "-", "distil_bert_embeddings"], [359, 0, 0, "-", "doc2vec"], [360, 0, 0, "-", "e5_embeddings"], [361, 0, 0, "-", "e5v_embeddings"], [362, 0, 0, "-", "elmo_embeddings"], [364, 0, 0, "-", "instructor_embeddings"], [365, 0, 0, "-", "longformer_embeddings"], [366, 0, 0, "-", "minilm_embeddings"], [367, 0, 0, "-", "mpnet_embeddings"], [368, 0, 0, "-", "mxbai_embeddings"], [369, 0, 0, "-", "nomic_embeddings"], [370, 0, 0, "-", "roberta_embeddings"], [371, 0, 0, "-", "roberta_sentence_embeddings"], [372, 0, 0, "-", "sentence_embeddings"], [373, 0, 0, "-", "snowflake_embeddings"], [374, 0, 0, "-", "uae_embeddings"], [375, 0, 0, "-", "universal_sentence_encoder"], [376, 0, 0, "-", "word2vec"], [377, 0, 0, "-", "word_embeddings"], [378, 0, 0, "-", "xlm_roberta_embeddings"], [379, 0, 0, "-", "xlm_roberta_sentence_embeddings"], [380, 0, 0, "-", "xlnet_embeddings"]], "sparknlp.annotator.embeddings.albert_embeddings": [[350, 1, 1, "", "AlbertEmbeddings"]], "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings": [[350, 2, 1, "", "configProtoBytes"], [350, 2, 1, "", "inputAnnotatorTypes"], [350, 3, 1, "", "loadSavedModel"], [350, 2, 1, "", "name"], [350, 2, 1, "", "outputAnnotatorType"], [350, 3, 1, "", "pretrained"], [350, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings": [[351, 1, 1, "", "AutoGGUFEmbeddings"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings": [[351, 3, 1, "", "close"], [351, 2, 1, "", "defragmentationThreshold"], [351, 2, 1, "", "flashAttention"], [351, 3, 1, "", "getMetadata"], [351, 2, 1, "", "gpuSplitMode"], [351, 2, 1, "", "grpAttnN"], [351, 2, 1, "", "grpAttnW"], [351, 2, 1, "", "inputAnnotatorTypes"], [351, 3, 1, "", "loadSavedModel"], [351, 2, 1, "", "mainGpu"], [351, 2, 1, "", "nBatch"], [351, 2, 1, "", "nChunks"], [351, 2, 1, "", "nCtx"], [351, 2, 1, "", "nGpuLayers"], [351, 2, 1, "", "nSequences"], [351, 2, 1, "", "nThreads"], [351, 2, 1, "", "nThreadsBatch"], [351, 2, 1, "", "nUbatch"], [351, 2, 1, "", "name"], [351, 2, 1, "", "noKvOffload"], [351, 2, 1, "", "numaStrategy"], [351, 2, 1, "", "outputAnnotatorType"], [351, 2, 1, "", "poolingType"], [351, 3, 1, "", "pretrained"], [351, 2, 1, "", "ropeFreqBase"], [351, 2, 1, "", "ropeFreqScale"], [351, 2, 1, "", "ropeScalingType"], [351, 3, 1, "", "setDefragmentationThreshold"], [351, 3, 1, "", "setFlashAttention"], [351, 3, 1, "", "setGpuSplitMode"], [351, 3, 1, "", "setGrpAttnN"], [351, 3, 1, "", "setGrpAttnW"], [351, 3, 1, "", "setMainGpu"], [351, 3, 1, "", "setNBatch"], [351, 3, 1, "", "setNChunks"], [351, 3, 1, "", "setNCtx"], [351, 3, 1, "", "setNGpuLayers"], [351, 3, 1, "", "setNParallel"], [351, 3, 1, "", "setNSequences"], [351, 3, 1, "", "setNThreads"], [351, 3, 1, "", "setNThreadsBatch"], [351, 3, 1, "", "setNUbatch"], [351, 3, 1, "", "setNoKvOffload"], [351, 3, 1, "", "setNumaStrategy"], [351, 3, 1, "", "setPoolingType"], [351, 3, 1, "", "setRopeFreqBase"], [351, 3, 1, "", "setRopeFreqScale"], [351, 3, 1, "", "setRopeScalingType"], [351, 3, 1, "", "setTensorSplit"], [351, 3, 1, "", "setUseMlock"], [351, 3, 1, "", "setUseMmap"], [351, 3, 1, "", "setYarnAttnFactor"], [351, 3, 1, "", "setYarnBetaFast"], [351, 3, 1, "", "setYarnBetaSlow"], [351, 3, 1, "", "setYarnExtFactor"], [351, 3, 1, "", "setYarnOrigCtx"], [351, 2, 1, "", "tensorSplit"], [351, 2, 1, "", "useMlock"], [351, 2, 1, "", "useMmap"], [351, 2, 1, "", "yarnAttnFactor"], [351, 2, 1, "", "yarnBetaFast"], [351, 2, 1, "", "yarnBetaSlow"], [351, 2, 1, "", "yarnExtFactor"], [351, 2, 1, "", "yarnOrigCtx"]], "sparknlp.annotator.embeddings.bert_embeddings": [[352, 1, 1, "", "BertEmbeddings"]], "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings": [[352, 2, 1, "", "configProtoBytes"], [352, 2, 1, "", "inputAnnotatorTypes"], [352, 3, 1, "", "loadSavedModel"], [352, 2, 1, "", "name"], [352, 2, 1, "", "outputAnnotatorType"], [352, 3, 1, "", "pretrained"], [352, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings": [[353, 1, 1, "", "BertSentenceEmbeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings": [[353, 2, 1, "", "configProtoBytes"], [353, 2, 1, "", "inputAnnotatorTypes"], [353, 2, 1, "", "isLong"], [353, 3, 1, "", "loadSavedModel"], [353, 2, 1, "", "name"], [353, 2, 1, "", "outputAnnotatorType"], [353, 3, 1, "", "pretrained"], [353, 3, 1, "", "setConfigProtoBytes"], [353, 3, 1, "", "setIsLong"]], "sparknlp.annotator.embeddings.bge_embeddings": [[354, 1, 1, "", "BGEEmbeddings"]], "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings": [[354, 2, 1, "", "configProtoBytes"], [354, 2, 1, "", "inputAnnotatorTypes"], [354, 3, 1, "", "loadSavedModel"], [354, 2, 1, "", "name"], [354, 2, 1, "", "outputAnnotatorType"], [354, 3, 1, "", "pretrained"], [354, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.camembert_embeddings": [[355, 1, 1, "", "CamemBertEmbeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings": [[355, 2, 1, "", "configProtoBytes"], [355, 2, 1, "", "inputAnnotatorTypes"], [355, 3, 1, "", "loadSavedModel"], [355, 2, 1, "", "name"], [355, 2, 1, "", "outputAnnotatorType"], [355, 3, 1, "", "pretrained"], [355, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.chunk_embeddings": [[356, 1, 1, "", "ChunkEmbeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings": [[356, 2, 1, "", "inputAnnotatorTypes"], [356, 2, 1, "", "name"], [356, 2, 1, "", "outputAnnotatorType"], [356, 2, 1, "", "poolingStrategy"], [356, 3, 1, "", "setPoolingStrategy"], [356, 3, 1, "", "setSkipOOV"], [356, 2, 1, "", "skipOOV"]], "sparknlp.annotator.embeddings.deberta_embeddings": [[357, 1, 1, "", "DeBertaEmbeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings": [[357, 2, 1, "", "configProtoBytes"], [357, 2, 1, "", "inputAnnotatorTypes"], [357, 3, 1, "", "loadSavedModel"], [357, 2, 1, "", "name"], [357, 2, 1, "", "outputAnnotatorType"], [357, 3, 1, "", "pretrained"], [357, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.distil_bert_embeddings": [[358, 1, 1, "", "DistilBertEmbeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings": [[358, 2, 1, "", "configProtoBytes"], [358, 2, 1, "", "inputAnnotatorTypes"], [358, 3, 1, "", "loadSavedModel"], [358, 2, 1, "", "name"], [358, 2, 1, "", "outputAnnotatorType"], [358, 3, 1, "", "pretrained"], [358, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.doc2vec": [[359, 1, 1, "", "Doc2VecApproach"], [359, 1, 1, "", "Doc2VecModel"]], "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach": [[359, 2, 1, "", "inputAnnotatorTypes"], [359, 2, 1, "", "maxIter"], [359, 2, 1, "", "maxSentenceLength"], [359, 2, 1, "", "minCount"], [359, 2, 1, "", "numPartitions"], [359, 2, 1, "", "outputAnnotatorType"], [359, 2, 1, "", "seed"], [359, 3, 1, "", "setMaxIter"], [359, 3, 1, "", "setMaxSentenceLength"], [359, 3, 1, "", "setMinCount"], [359, 3, 1, "", "setNumPartitions"], [359, 3, 1, "", "setSeed"], [359, 3, 1, "", "setStepSize"], [359, 3, 1, "", "setVectorSize"], [359, 3, 1, "", "setWindowSize"], [359, 2, 1, "", "stepSize"], [359, 2, 1, "", "vectorSize"], [359, 2, 1, "", "windowSize"]], "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel": [[359, 3, 1, "", "getVectors"], [359, 2, 1, "", "inputAnnotatorTypes"], [359, 2, 1, "", "name"], [359, 2, 1, "", "outputAnnotatorType"], [359, 3, 1, "", "pretrained"], [359, 3, 1, "", "setVectorSize"], [359, 2, 1, "", "vectorSize"]], "sparknlp.annotator.embeddings.e5_embeddings": [[360, 1, 1, "", "E5Embeddings"]], "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings": [[360, 2, 1, "", "configProtoBytes"], [360, 2, 1, "", "inputAnnotatorTypes"], [360, 3, 1, "", "loadSavedModel"], [360, 2, 1, "", "name"], [360, 2, 1, "", "outputAnnotatorType"], [360, 3, 1, "", "pretrained"], [360, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.e5v_embeddings": [[361, 1, 1, "", "E5VEmbeddings"]], "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings": [[361, 2, 1, "", "inputAnnotatorTypes"], [361, 3, 1, "", "loadSavedModel"], [361, 2, 1, "", "name"], [361, 2, 1, "", "outputAnnotatorType"], [361, 3, 1, "", "pretrained"]], "sparknlp.annotator.embeddings.elmo_embeddings": [[362, 1, 1, "", "ElmoEmbeddings"]], "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings": [[362, 2, 1, "", "batchSize"], [362, 2, 1, "", "configProtoBytes"], [362, 2, 1, "", "inputAnnotatorTypes"], [362, 3, 1, "", "loadSavedModel"], [362, 2, 1, "", "name"], [362, 2, 1, "", "outputAnnotatorType"], [362, 2, 1, "", "poolingLayer"], [362, 3, 1, "", "pretrained"], [362, 3, 1, "", "setBatchSize"], [362, 3, 1, "", "setConfigProtoBytes"], [362, 3, 1, "", "setPoolingLayer"]], "sparknlp.annotator.embeddings.instructor_embeddings": [[364, 1, 1, "", "InstructorEmbeddings"]], "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings": [[364, 2, 1, "", "configProtoBytes"], [364, 2, 1, "", "inputAnnotatorTypes"], [364, 2, 1, "", "instruction"], [364, 3, 1, "", "loadSavedModel"], [364, 2, 1, "", "name"], [364, 2, 1, "", "outputAnnotatorType"], [364, 3, 1, "", "pretrained"], [364, 3, 1, "", "setConfigProtoBytes"], [364, 3, 1, "", "setInstruction"]], "sparknlp.annotator.embeddings.longformer_embeddings": [[365, 1, 1, "", "LongformerEmbeddings"]], "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings": [[365, 2, 1, "", "configProtoBytes"], [365, 2, 1, "", "inputAnnotatorTypes"], [365, 3, 1, "", "loadSavedModel"], [365, 2, 1, "", "name"], [365, 2, 1, "", "outputAnnotatorType"], [365, 3, 1, "", "pretrained"], [365, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.minilm_embeddings": [[366, 1, 1, "", "MiniLMEmbeddings"]], "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings": [[366, 2, 1, "", "configProtoBytes"], [366, 2, 1, "", "inputAnnotatorTypes"], [366, 3, 1, "", "loadSavedModel"], [366, 2, 1, "", "name"], [366, 2, 1, "", "outputAnnotatorType"], [366, 3, 1, "", "pretrained"], [366, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.mpnet_embeddings": [[367, 1, 1, "", "MPNetEmbeddings"]], "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings": [[367, 2, 1, "", "configProtoBytes"], [367, 2, 1, "", "inputAnnotatorTypes"], [367, 3, 1, "", "loadSavedModel"], [367, 2, 1, "", "name"], [367, 2, 1, "", "outputAnnotatorType"], [367, 3, 1, "", "pretrained"], [367, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.mxbai_embeddings": [[368, 1, 1, "", "MxbaiEmbeddings"]], "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings": [[368, 2, 1, "", "inputAnnotatorTypes"], [368, 3, 1, "", "loadSavedModel"], [368, 2, 1, "", "name"], [368, 2, 1, "", "outputAnnotatorType"], [368, 2, 1, "", "poolingStrategy"], [368, 3, 1, "", "pretrained"], [368, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.nomic_embeddings": [[369, 1, 1, "", "NomicEmbeddings"]], "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings": [[369, 2, 1, "", "configProtoBytes"], [369, 2, 1, "", "inputAnnotatorTypes"], [369, 3, 1, "", "loadSavedModel"], [369, 2, 1, "", "name"], [369, 2, 1, "", "outputAnnotatorType"], [369, 3, 1, "", "pretrained"], [369, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_embeddings": [[370, 1, 1, "", "RoBertaEmbeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings": [[370, 2, 1, "", "configProtoBytes"], [370, 2, 1, "", "inputAnnotatorTypes"], [370, 3, 1, "", "loadSavedModel"], [370, 2, 1, "", "name"], [370, 2, 1, "", "outputAnnotatorType"], [370, 3, 1, "", "pretrained"], [370, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings": [[371, 1, 1, "", "RoBertaSentenceEmbeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings": [[371, 2, 1, "", "configProtoBytes"], [371, 2, 1, "", "inputAnnotatorTypes"], [371, 3, 1, "", "loadSavedModel"], [371, 2, 1, "", "name"], [371, 2, 1, "", "outputAnnotatorType"], [371, 3, 1, "", "pretrained"], [371, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.sentence_embeddings": [[372, 1, 1, "", "SentenceEmbeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings": [[372, 2, 1, "", "inputAnnotatorTypes"], [372, 2, 1, "", "name"], [372, 2, 1, "", "outputAnnotatorType"], [372, 2, 1, "", "poolingStrategy"], [372, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.snowflake_embeddings": [[373, 1, 1, "", "SnowFlakeEmbeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings": [[373, 2, 1, "", "inputAnnotatorTypes"], [373, 3, 1, "", "loadSavedModel"], [373, 2, 1, "", "name"], [373, 2, 1, "", "outputAnnotatorType"], [373, 2, 1, "", "poolingStrategy"], [373, 3, 1, "", "pretrained"], [373, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.uae_embeddings": [[374, 1, 1, "", "UAEEmbeddings"]], "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings": [[374, 2, 1, "", "inputAnnotatorTypes"], [374, 3, 1, "", "loadSavedModel"], [374, 2, 1, "", "name"], [374, 2, 1, "", "outputAnnotatorType"], [374, 2, 1, "", "poolingStrategy"], [374, 3, 1, "", "pretrained"], [374, 3, 1, "", "setPoolingStrategy"]], "sparknlp.annotator.embeddings.universal_sentence_encoder": [[375, 1, 1, "", "UniversalSentenceEncoder"]], "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder": [[375, 2, 1, "", "configProtoBytes"], [375, 2, 1, "", "inputAnnotatorTypes"], [375, 2, 1, "", "loadSP"], [375, 3, 1, "", "loadSavedModel"], [375, 2, 1, "", "name"], [375, 2, 1, "", "outputAnnotatorType"], [375, 3, 1, "", "pretrained"], [375, 3, 1, "", "setConfigProtoBytes"], [375, 3, 1, "", "setLoadSP"]], "sparknlp.annotator.embeddings.word2vec": [[376, 1, 1, "", "Word2VecApproach"], [376, 1, 1, "", "Word2VecModel"]], "sparknlp.annotator.embeddings.word2vec.Word2VecApproach": [[376, 2, 1, "", "inputAnnotatorTypes"], [376, 2, 1, "", "maxIter"], [376, 2, 1, "", "maxSentenceLength"], [376, 2, 1, "", "minCount"], [376, 2, 1, "", "numPartitions"], [376, 2, 1, "", "outputAnnotatorType"], [376, 2, 1, "", "seed"], [376, 3, 1, "", "setMaxIter"], [376, 3, 1, "", "setMaxSentenceLength"], [376, 3, 1, "", "setMinCount"], [376, 3, 1, "", "setNumPartitions"], [376, 3, 1, "", "setSeed"], [376, 3, 1, "", "setStepSize"], [376, 3, 1, "", "setVectorSize"], [376, 3, 1, "", "setWindowSize"], [376, 2, 1, "", "stepSize"], [376, 2, 1, "", "vectorSize"], [376, 2, 1, "", "windowSize"]], "sparknlp.annotator.embeddings.word2vec.Word2VecModel": [[376, 3, 1, "", "getVectors"], [376, 2, 1, "", "inputAnnotatorTypes"], [376, 2, 1, "", "name"], [376, 2, 1, "", "outputAnnotatorType"], [376, 3, 1, "", "pretrained"], [376, 3, 1, "", "setVectorSize"], [376, 2, 1, "", "vectorSize"]], "sparknlp.annotator.embeddings.word_embeddings": [[377, 1, 1, "", "WordEmbeddings"], [377, 1, 1, "", "WordEmbeddingsModel"]], "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings": [[377, 2, 1, "", "inputAnnotatorTypes"], [377, 2, 1, "", "name"], [377, 2, 1, "", "outputAnnotatorType"], [377, 2, 1, "", "readCacheSize"], [377, 3, 1, "", "setReadCacheSize"], [377, 3, 1, "", "setWriteBufferSize"], [377, 2, 1, "", "writeBufferSize"]], "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel": [[377, 2, 1, "", "databases"], [377, 2, 1, "", "inputAnnotatorTypes"], [377, 3, 1, "", "loadStorage"], [377, 2, 1, "", "name"], [377, 2, 1, "", "outputAnnotatorType"], [377, 3, 1, "", "overallCoverage"], [377, 3, 1, "", "pretrained"], [377, 2, 1, "", "readCacheSize"], [377, 3, 1, "", "setReadCacheSize"], [377, 3, 1, "", "withCoverageColumn"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings": [[378, 1, 1, "", "XlmRoBertaEmbeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings": [[378, 2, 1, "", "configProtoBytes"], [378, 2, 1, "", "inputAnnotatorTypes"], [378, 3, 1, "", "loadSavedModel"], [378, 2, 1, "", "name"], [378, 2, 1, "", "outputAnnotatorType"], [378, 3, 1, "", "pretrained"], [378, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings": [[379, 1, 1, "", "XlmRoBertaSentenceEmbeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings": [[379, 2, 1, "", "configProtoBytes"], [379, 2, 1, "", "inputAnnotatorTypes"], [379, 3, 1, "", "loadSavedModel"], [379, 2, 1, "", "name"], [379, 2, 1, "", "outputAnnotatorType"], [379, 3, 1, "", "pretrained"], [379, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlnet_embeddings": [[380, 1, 1, "", "XlnetEmbeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings": [[380, 2, 1, "", "configProtoBytes"], [380, 2, 1, "", "inputAnnotatorTypes"], [380, 3, 1, "", "loadSavedModel"], [380, 2, 1, "", "name"], [380, 2, 1, "", "outputAnnotatorType"], [380, 3, 1, "", "pretrained"], [380, 3, 1, "", "setConfigProtoBytes"]], "sparknlp.annotator.er": [[381, 0, 0, "-", "entity_ruler"]], "sparknlp.annotator.er.entity_ruler": [[381, 1, 1, "", "EntityRulerApproach"], [381, 1, 1, "", "EntityRulerModel"]], "sparknlp.annotator.er.entity_ruler.EntityRulerApproach": [[381, 2, 1, "", "alphabet"], [381, 2, 1, "", "inputAnnotatorTypes"], [381, 2, 1, "", "name"], [381, 2, 1, "", "optionalInputAnnotatorTypes"], [381, 2, 1, "", "outputAnnotatorType"], [381, 2, 1, "", "patternsResource"], [381, 2, 1, "", "sentenceMatch"], [381, 3, 1, "", "setAlphabetResource"], [381, 3, 1, "", "setPatternsResource"], [381, 3, 1, "", "setSentenceMatch"], [381, 3, 1, "", "setUseStorage"], [381, 2, 1, "", "useStorage"]], "sparknlp.annotator.er.entity_ruler.EntityRulerModel": [[381, 2, 1, "", "autoMode"], [381, 2, 1, "", "database"], [381, 2, 1, "", "extractEntities"], [381, 2, 1, "", "inputAnnotatorTypes"], [381, 3, 1, "", "loadStorage"], [381, 2, 1, "", "name"], [381, 2, 1, "", "optionalInputAnnotatorTypes"], [381, 2, 1, "", "outputAnnotatorType"], [381, 3, 1, "", "pretrained"], [381, 3, 1, "", "setAutoMode"], [381, 3, 1, "", "setExtractEntities"]], "sparknlp.annotator.graph_extraction": [[383, 1, 1, "", "GraphExtraction"]], "sparknlp.annotator.graph_extraction.GraphExtraction": [[383, 2, 1, "", "delimiter"], [383, 2, 1, "", "dependencyParserModel"], [383, 2, 1, "", "entityTypes"], [383, 2, 1, "", "explodeEntities"], [383, 2, 1, "", "includeEdges"], [383, 2, 1, "", "inputAnnotatorTypes"], [383, 2, 1, "", "maxSentenceSize"], [383, 2, 1, "", "mergeEntities"], [383, 2, 1, "", "mergeEntitiesIOBFormat"], [383, 2, 1, "", "minSentenceSize"], [383, 2, 1, "", "name"], [383, 2, 1, "", "optionalInputAnnotatorTypes"], [383, 2, 1, "", "outputAnnotatorType"], [383, 2, 1, "", "posModel"], [383, 2, 1, "", "relationshipTypes"], [383, 2, 1, "", "rootTokens"], [383, 3, 1, "", "setDelimiter"], [383, 3, 1, "", "setDependencyParserModel"], [383, 3, 1, "", "setEntityTypes"], [383, 3, 1, "", "setExplodeEntities"], [383, 3, 1, "", "setIncludeEdges"], [383, 3, 1, "", "setMaxSentenceSize"], [383, 3, 1, "", "setMergeEntities"], [383, 3, 1, "", "setMergeEntitiesIOBFormat"], [383, 3, 1, "", "setMinSentenceSize"], [383, 3, 1, "", "setPosModel"], [383, 3, 1, "", "setRelationshipTypes"], [383, 3, 1, "", "setRootTokens"], [383, 3, 1, "", "setTypedDependencyParserModel"], [383, 2, 1, "", "typedDependencyParserModel"]], "sparknlp.annotator.keyword_extraction": [[386, 0, 0, "-", "yake_keyword_extraction"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction": [[386, 1, 1, "", "YakeKeywordExtraction"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction": [[386, 3, 1, "", "getStopWords"], [386, 2, 1, "", "inputAnnotatorTypes"], [386, 3, 1, "", "loadDefaultStopWords"], [386, 2, 1, "", "maxNGrams"], [386, 2, 1, "", "minNGrams"], [386, 2, 1, "", "nKeywords"], [386, 2, 1, "", "name"], [386, 2, 1, "", "outputAnnotatorType"], [386, 3, 1, "", "setMaxNGrams"], [386, 3, 1, "", "setMinNGrams"], [386, 3, 1, "", "setNKeywords"], [386, 3, 1, "", "setStopWords"], [386, 3, 1, "", "setThreshold"], [386, 3, 1, "", "setWindowSize"], [386, 2, 1, "", "stopWords"], [386, 2, 1, "", "threshold"], [386, 2, 1, "", "windowSize"]], "sparknlp.annotator.ld_dl": [[388, 0, 0, "-", "language_detector_dl"]], "sparknlp.annotator.ld_dl.language_detector_dl": [[388, 1, 1, "", "LanguageDetectorDL"]], "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL": [[388, 2, 1, "", "coalesceSentences"], [388, 2, 1, "", "configProtoBytes"], [388, 2, 1, "", "inputAnnotatorTypes"], [388, 2, 1, "", "languages"], [388, 2, 1, "", "name"], [388, 2, 1, "", "outputAnnotatorType"], [388, 3, 1, "", "pretrained"], [388, 3, 1, "", "setCoalesceSentences"], [388, 3, 1, "", "setConfigProtoBytes"], [388, 3, 1, "", "setThreshold"], [388, 3, 1, "", "setThresholdLabel"], [388, 2, 1, "", "threshold"], [388, 2, 1, "", "thresholdLabel"]], "sparknlp.annotator.lemmatizer": [[389, 1, 1, "", "Lemmatizer"], [389, 1, 1, "", "LemmatizerModel"]], "sparknlp.annotator.lemmatizer.Lemmatizer": [[389, 2, 1, "", "dictionary"], [389, 2, 1, "", "formCol"], [389, 2, 1, "", "inputAnnotatorTypes"], [389, 2, 1, "", "lemmaCol"], [389, 2, 1, "", "outputAnnotatorType"], [389, 3, 1, "", "setDictionary"], [389, 3, 1, "", "setFormCol"], [389, 3, 1, "", "setLemmaCol"]], "sparknlp.annotator.lemmatizer.LemmatizerModel": [[389, 2, 1, "", "inputAnnotatorTypes"], [389, 2, 1, "", "name"], [389, 2, 1, "", "outputAnnotatorType"], [389, 3, 1, "", "pretrained"]], "sparknlp.annotator.matcher": [[390, 0, 0, "-", "big_text_matcher"], [391, 0, 0, "-", "date_matcher"], [393, 0, 0, "-", "multi_date_matcher"], [394, 0, 0, "-", "regex_matcher"], [395, 0, 0, "-", "text_matcher"]], "sparknlp.annotator.matcher.big_text_matcher": [[390, 1, 1, "", "BigTextMatcher"], [390, 1, 1, "", "BigTextMatcherModel"]], "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher": [[390, 2, 1, "", "caseSensitive"], [390, 2, 1, "", "entities"], [390, 2, 1, "", "inputAnnotatorTypes"], [390, 2, 1, "", "mergeOverlapping"], [390, 2, 1, "", "outputAnnotatorType"], [390, 3, 1, "", "setCaseSensitive"], [390, 3, 1, "", "setEntities"], [390, 3, 1, "", "setMergeOverlapping"], [390, 3, 1, "", "setTokenizer"], [390, 2, 1, "", "tokenizer"]], "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel": [[390, 2, 1, "", "caseSensitive"], [390, 2, 1, "", "databases"], [390, 2, 1, "", "inputAnnotatorTypes"], [390, 3, 1, "", "loadStorage"], [390, 2, 1, "", "mergeOverlapping"], [390, 2, 1, "", "name"], [390, 2, 1, "", "outputAnnotatorType"], [390, 3, 1, "", "pretrained"], [390, 2, 1, "", "searchTrie"], [390, 3, 1, "", "setCaseSensitive"], [390, 3, 1, "", "setMergeOverlapping"]], "sparknlp.annotator.matcher.date_matcher": [[391, 1, 1, "", "DateMatcher"], [391, 1, 1, "", "DateMatcherUtils"]], "sparknlp.annotator.matcher.date_matcher.DateMatcher": [[391, 2, 1, "", "inputAnnotatorTypes"], [391, 2, 1, "", "name"], [391, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils": [[391, 2, 1, "", "aggressiveMatching"], [391, 2, 1, "", "anchorDateDay"], [391, 2, 1, "", "anchorDateMonth"], [391, 2, 1, "", "anchorDateYear"], [391, 2, 1, "", "defaultDayWhenMissing"], [391, 2, 1, "", "inputFormats"], [391, 2, 1, "", "outputFormat"], [391, 2, 1, "", "readMonthFirst"], [391, 2, 1, "", "relaxedFactoryStrategy"], [391, 3, 1, "", "setAggressiveMatching"], [391, 3, 1, "", "setAnchorDateDay"], [391, 3, 1, "", "setAnchorDateMonth"], [391, 3, 1, "", "setAnchorDateYear"], [391, 3, 1, "", "setDefaultDayWhenMissing"], [391, 3, 1, "", "setInputFormats"], [391, 3, 1, "", "setOutputFormat"], [391, 3, 1, "", "setReadMonthFirst"], [391, 3, 1, "", "setRelaxedFactoryStrategy"], [391, 3, 1, "", "setSourceLanguage"], [391, 2, 1, "", "sourceLanguage"]], "sparknlp.annotator.matcher.multi_date_matcher": [[393, 1, 1, "", "MultiDateMatcher"]], "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher": [[393, 2, 1, "", "inputAnnotatorTypes"], [393, 2, 1, "", "name"], [393, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.matcher.regex_matcher": [[394, 1, 1, "", "RegexMatcher"], [394, 1, 1, "", "RegexMatcherModel"]], "sparknlp.annotator.matcher.regex_matcher.RegexMatcher": [[394, 2, 1, "", "delimiter"], [394, 2, 1, "", "externalRules"], [394, 2, 1, "", "inputAnnotatorTypes"], [394, 2, 1, "", "outputAnnotatorType"], [394, 2, 1, "", "rules"], [394, 3, 1, "", "setDelimiter"], [394, 3, 1, "", "setExternalRules"], [394, 3, 1, "", "setRules"], [394, 3, 1, "", "setStrategy"], [394, 2, 1, "", "strategy"]], "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel": [[394, 2, 1, "", "inputAnnotatorTypes"], [394, 2, 1, "", "name"], [394, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.matcher.text_matcher": [[395, 1, 1, "", "TextMatcher"], [395, 1, 1, "", "TextMatcherModel"]], "sparknlp.annotator.matcher.text_matcher.TextMatcher": [[395, 2, 1, "", "buildFromTokens"], [395, 2, 1, "", "caseSensitive"], [395, 2, 1, "", "entities"], [395, 2, 1, "", "entityValue"], [395, 2, 1, "", "inputAnnotatorTypes"], [395, 2, 1, "", "mergeOverlapping"], [395, 2, 1, "", "outputAnnotatorType"], [395, 3, 1, "", "setBuildFromTokens"], [395, 3, 1, "", "setCaseSensitive"], [395, 3, 1, "", "setEntities"], [395, 3, 1, "", "setEntityValue"], [395, 3, 1, "", "setMergeOverlapping"]], "sparknlp.annotator.matcher.text_matcher.TextMatcherModel": [[395, 2, 1, "", "buildFromTokens"], [395, 2, 1, "", "entityValue"], [395, 2, 1, "", "inputAnnotatorTypes"], [395, 2, 1, "", "mergeOverlapping"], [395, 2, 1, "", "name"], [395, 2, 1, "", "outputAnnotatorType"], [395, 3, 1, "", "pretrained"], [395, 2, 1, "", "searchTrie"], [395, 3, 1, "", "setBuildFromTokens"], [395, 3, 1, "", "setEntityValue"], [395, 3, 1, "", "setMergeOverlapping"]], "sparknlp.annotator.n_gram_generator": [[396, 1, 1, "", "NGramGenerator"]], "sparknlp.annotator.n_gram_generator.NGramGenerator": [[396, 2, 1, "", "delimiter"], [396, 2, 1, "", "enableCumulative"], [396, 2, 1, "", "inputAnnotatorTypes"], [396, 2, 1, "", "n"], [396, 2, 1, "", "name"], [396, 2, 1, "", "outputAnnotatorType"], [396, 3, 1, "", "setDelimiter"], [396, 3, 1, "", "setEnableCumulative"], [396, 3, 1, "", "setN"]], "sparknlp.annotator.ner": [[398, 0, 0, "-", "ner_approach"], [399, 0, 0, "-", "ner_converter"], [400, 0, 0, "-", "ner_crf"], [401, 0, 0, "-", "ner_dl"], [402, 0, 0, "-", "ner_dl_graph_checker"], [403, 0, 0, "-", "ner_overwriter"], [404, 0, 0, "-", "zero_shot_ner_model"]], "sparknlp.annotator.ner.ner_approach": [[398, 1, 1, "", "NerApproach"]], "sparknlp.annotator.ner.ner_approach.NerApproach": [[398, 2, 1, "", "entities"], [398, 3, 1, "", "getLabelColumn"], [398, 2, 1, "", "labelColumn"], [398, 2, 1, "", "maxEpochs"], [398, 2, 1, "", "minEpochs"], [398, 2, 1, "", "randomSeed"], [398, 3, 1, "", "setEntities"], [398, 3, 1, "", "setLabelColumn"], [398, 3, 1, "", "setMaxEpochs"], [398, 3, 1, "", "setMinEpochs"], [398, 3, 1, "", "setRandomSeed"]], "sparknlp.annotator.ner.ner_converter": [[399, 1, 1, "", "NerConverter"]], "sparknlp.annotator.ner.ner_converter.NerConverter": [[399, 2, 1, "", "inputAnnotatorTypes"], [399, 2, 1, "", "name"], [399, 2, 1, "", "nerHasNoSchema"], [399, 2, 1, "", "outputAnnotatorType"], [399, 2, 1, "", "preservePosition"], [399, 3, 1, "", "setNerHasNoSchema"], [399, 3, 1, "", "setPreservePosition"], [399, 3, 1, "", "setWhiteList"], [399, 2, 1, "", "whiteList"]], "sparknlp.annotator.ner.ner_crf": [[400, 1, 1, "", "NerCrfApproach"], [400, 1, 1, "", "NerCrfModel"]], "sparknlp.annotator.ner.ner_crf.NerCrfApproach": [[400, 2, 1, "", "c0"], [400, 2, 1, "", "externalFeatures"], [400, 2, 1, "", "includeConfidence"], [400, 2, 1, "", "inputAnnotatorTypes"], [400, 2, 1, "", "l2"], [400, 2, 1, "", "lossEps"], [400, 2, 1, "", "minW"], [400, 2, 1, "", "outputAnnotatorType"], [400, 3, 1, "", "setC0"], [400, 3, 1, "", "setExternalFeatures"], [400, 3, 1, "", "setIncludeConfidence"], [400, 3, 1, "", "setL2"], [400, 3, 1, "", "setLossEps"], [400, 3, 1, "", "setMinW"], [400, 3, 1, "", "setVerbose"], [400, 2, 1, "", "verbose"]], "sparknlp.annotator.ner.ner_crf.NerCrfModel": [[400, 2, 1, "", "includeConfidence"], [400, 2, 1, "", "inputAnnotatorTypes"], [400, 2, 1, "", "name"], [400, 2, 1, "", "outputAnnotatorType"], [400, 3, 1, "", "pretrained"], [400, 3, 1, "", "setIncludeConfidence"]], "sparknlp.annotator.ner.ner_dl": [[401, 1, 1, "", "NerDLApproach"], [401, 1, 1, "", "NerDLModel"]], "sparknlp.annotator.ner.ner_dl.NerDLApproach": [[401, 2, 1, "", "batchSize"], [401, 2, 1, "", "bestModelMetric"], [401, 2, 1, "", "configProtoBytes"], [401, 2, 1, "", "dropout"], [401, 2, 1, "", "enableMemoryOptimizer"], [401, 2, 1, "", "graphFolder"], [401, 2, 1, "", "includeAllConfidenceScores"], [401, 2, 1, "", "includeConfidence"], [401, 2, 1, "", "inputAnnotatorTypes"], [401, 2, 1, "", "lr"], [401, 2, 1, "", "outputAnnotatorType"], [401, 2, 1, "", "po"], [401, 3, 1, "", "setBatchSize"], [401, 3, 1, "", "setBestModelMetric"], [401, 3, 1, "", "setConfigProtoBytes"], [401, 3, 1, "", "setDropout"], [401, 3, 1, "", "setEnableMemoryOptimizer"], [401, 3, 1, "", "setGraphFolder"], [401, 3, 1, "", "setIncludeAllConfidenceScores"], [401, 3, 1, "", "setIncludeConfidence"], [401, 3, 1, "", "setLr"], [401, 3, 1, "", "setPo"], [401, 3, 1, "", "setUseBestModel"], [401, 3, 1, "", "setUseContrib"], [401, 2, 1, "", "useBestModel"], [401, 2, 1, "", "useContrib"]], "sparknlp.annotator.ner.ner_dl.NerDLModel": [[401, 2, 1, "", "classes"], [401, 2, 1, "", "configProtoBytes"], [401, 2, 1, "", "includeAllConfidenceScores"], [401, 2, 1, "", "includeConfidence"], [401, 2, 1, "", "inputAnnotatorTypes"], [401, 2, 1, "", "name"], [401, 2, 1, "", "outputAnnotatorType"], [401, 3, 1, "", "pretrained"], [401, 3, 1, "", "setConfigProtoBytes"], [401, 3, 1, "", "setIncludeAllConfidenceScores"], [401, 3, 1, "", "setIncludeConfidence"]], "sparknlp.annotator.ner.ner_dl_graph_checker": [[402, 1, 1, "", "NerDLGraphChecker"], [402, 1, 1, "", "NerDLGraphCheckerModel"]], "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker": [[402, 2, 1, "", "embeddingsDim"], [402, 2, 1, "", "graphFolder"], [402, 2, 1, "", "inputAnnotatorTypes"], [402, 2, 1, "", "inputCols"], [402, 2, 1, "", "labelColumn"], [402, 3, 1, "", "setEmbeddingsDim"], [402, 3, 1, "", "setEmbeddingsModel"], [402, 3, 1, "", "setGraphFolder"], [402, 3, 1, "", "setInputCols"], [402, 3, 1, "", "setLabelColumn"]], "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel": [[402, 2, 1, "", "inputAnnotatorTypes"]], "sparknlp.annotator.ner.ner_overwriter": [[403, 1, 1, "", "NerOverwriter"]], "sparknlp.annotator.ner.ner_overwriter.NerOverwriter": [[403, 2, 1, "", "inputAnnotatorTypes"], [403, 2, 1, "", "name"], [403, 2, 1, "", "nerWords"], [403, 2, 1, "", "newNerEntity"], [403, 2, 1, "", "outputAnnotatorType"], [403, 2, 1, "", "replaceEntities"], [403, 3, 1, "", "setNerWords"], [403, 3, 1, "", "setNewNerEntity"], [403, 3, 1, "", "setReplaceEntities"]], "sparknlp.annotator.ner.zero_shot_ner_model": [[404, 1, 1, "", "ZeroShotNerModel"]], "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel": [[404, 3, 1, "", "getClasses"], [404, 2, 1, "", "ignoreEntities"], [404, 2, 1, "", "inputAnnotatorTypes"], [404, 3, 1, "", "load"], [404, 2, 1, "", "name"], [404, 2, 1, "", "outputAnnotatorType"], [404, 2, 1, "", "predictionThreshold"], [404, 3, 1, "", "pretrained"], [404, 3, 1, "", "setEntityDefinitions"], [404, 3, 1, "", "setPredictionThreshold"]], "sparknlp.annotator.normalizer": [[405, 1, 1, "", "Normalizer"], [405, 1, 1, "", "NormalizerModel"]], "sparknlp.annotator.normalizer.Normalizer": [[405, 2, 1, "", "cleanupPatterns"], [405, 2, 1, "", "inputAnnotatorTypes"], [405, 2, 1, "", "lowercase"], [405, 2, 1, "", "maxLength"], [405, 2, 1, "", "minLength"], [405, 2, 1, "", "outputAnnotatorType"], [405, 3, 1, "", "setCleanupPatterns"], [405, 3, 1, "", "setLowercase"], [405, 3, 1, "", "setMaxLength"], [405, 3, 1, "", "setMinLength"], [405, 3, 1, "", "setSlangDictionary"], [405, 2, 1, "", "slangDictionary"], [405, 2, 1, "", "slangMatchCase"]], "sparknlp.annotator.normalizer.NormalizerModel": [[405, 2, 1, "", "cleanupPatterns"], [405, 2, 1, "", "inputAnnotatorTypes"], [405, 2, 1, "", "lowercase"], [405, 2, 1, "", "name"], [405, 2, 1, "", "outputAnnotatorType"], [405, 2, 1, "", "slangMatchCase"]], "sparknlp.annotator.openai": [[407, 0, 0, "-", "openai_completion"], [408, 0, 0, "-", "openai_embeddings"]], "sparknlp.annotator.openai.openai_completion": [[407, 1, 1, "", "OpenAICompletion"]], "sparknlp.annotator.openai.openai_completion.OpenAICompletion": [[407, 2, 1, "", "bestOf"], [407, 2, 1, "", "echo"], [407, 2, 1, "", "frequencyPenalty"], [407, 2, 1, "", "inputAnnotatorTypes"], [407, 2, 1, "", "logitBias"], [407, 2, 1, "", "logprobs"], [407, 2, 1, "", "maxTokens"], [407, 2, 1, "", "model"], [407, 2, 1, "", "name"], [407, 2, 1, "", "numberOfCompletions"], [407, 2, 1, "", "outputAnnotatorType"], [407, 2, 1, "", "presencePenalty"], [407, 3, 1, "", "setBestOf"], [407, 3, 1, "", "setEcho"], [407, 3, 1, "", "setFrequencyPenalty"], [407, 3, 1, "", "setLogitBias"], [407, 3, 1, "", "setLogprobs"], [407, 3, 1, "", "setMaxTokens"], [407, 3, 1, "", "setModel"], [407, 3, 1, "", "setNumberOfCompletions"], [407, 3, 1, "", "setPresencePenalty"], [407, 3, 1, "", "setStop"], [407, 3, 1, "", "setSuffix"], [407, 3, 1, "", "setTemperature"], [407, 3, 1, "", "setTopP"], [407, 3, 1, "", "setUser"], [407, 2, 1, "", "stop"], [407, 2, 1, "", "suffix"], [407, 2, 1, "", "temperature"], [407, 2, 1, "", "topP"], [407, 2, 1, "", "user"]], "sparknlp.annotator.openai.openai_embeddings": [[408, 1, 1, "", "OpenAIEmbeddings"]], "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings": [[408, 2, 1, "", "inputAnnotatorTypes"], [408, 2, 1, "", "model"], [408, 2, 1, "", "name"], [408, 2, 1, "", "outputAnnotatorType"], [408, 3, 1, "", "setModel"], [408, 3, 1, "", "setUser"], [408, 2, 1, "", "user"]], "sparknlp.annotator.param": [[409, 0, 0, "-", "classifier_encoder"], [410, 0, 0, "-", "evaluation_dl_params"]], "sparknlp.annotator.param.classifier_encoder": [[409, 1, 1, "", "ClassifierEncoder"]], "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder": [[409, 2, 1, "", "batchSize"], [409, 2, 1, "", "configProtoBytes"], [409, 2, 1, "", "labelColumn"], [409, 2, 1, "", "lr"], [409, 2, 1, "", "maxEpochs"], [409, 2, 1, "", "randomSeed"], [409, 3, 1, "", "setBatchSize"], [409, 3, 1, "", "setConfigProtoBytes"], [409, 3, 1, "", "setLabelColumn"], [409, 3, 1, "", "setLr"], [409, 3, 1, "", "setMaxEpochs"], [409, 3, 1, "", "setRandomSeed"]], "sparknlp.annotator.param.evaluation_dl_params": [[410, 1, 1, "", "EvaluationDLParams"]], "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams": [[410, 2, 1, "", "enableOutputLogs"], [410, 2, 1, "", "evaluationLogExtended"], [410, 2, 1, "", "outputLogsPath"], [410, 3, 1, "", "setEnableOutputLogs"], [410, 3, 1, "", "setEvaluationLogExtended"], [410, 3, 1, "", "setOutputLogsPath"], [410, 3, 1, "", "setTestDataset"], [410, 3, 1, "", "setValidationSplit"], [410, 3, 1, "", "setVerbose"], [410, 2, 1, "", "testDataset"], [410, 2, 1, "", "validationSplit"], [410, 2, 1, "", "verbose"]], "sparknlp.annotator.pos": [[413, 0, 0, "-", "perceptron"]], "sparknlp.annotator.pos.perceptron": [[413, 1, 1, "", "PerceptronApproach"], [413, 1, 1, "", "PerceptronModel"]], "sparknlp.annotator.pos.perceptron.PerceptronApproach": [[413, 3, 1, "", "getNIterations"], [413, 2, 1, "", "inputAnnotatorTypes"], [413, 2, 1, "", "nIterations"], [413, 2, 1, "", "outputAnnotatorType"], [413, 2, 1, "", "posCol"], [413, 3, 1, "", "setIterations"], [413, 3, 1, "", "setPosColumn"]], "sparknlp.annotator.pos.perceptron.PerceptronModel": [[413, 2, 1, "", "inputAnnotatorTypes"], [413, 2, 1, "", "name"], [413, 2, 1, "", "outputAnnotatorType"], [413, 3, 1, "", "pretrained"]], "sparknlp.annotator.sentence": [[415, 0, 0, "-", "sentence_detector"], [416, 0, 0, "-", "sentence_detector_dl"]], "sparknlp.annotator.sentence.sentence_detector": [[415, 1, 1, "", "SentenceDetector"], [415, 1, 1, "", "SentenceDetectorParams"]], "sparknlp.annotator.sentence.sentence_detector.SentenceDetector": [[415, 2, 1, "", "detectLists"], [415, 2, 1, "", "inputAnnotatorTypes"], [415, 2, 1, "", "name"], [415, 2, 1, "", "outputAnnotatorType"], [415, 3, 1, "", "setCustomBounds"], [415, 3, 1, "", "setCustomBoundsStrategy"], [415, 3, 1, "", "setDetectLists"], [415, 3, 1, "", "setExplodeSentences"], [415, 3, 1, "", "setMaxLength"], [415, 3, 1, "", "setMinLength"], [415, 3, 1, "", "setSplitLength"], [415, 3, 1, "", "setUseAbbreviations"], [415, 3, 1, "", "setUseCustomBoundsOnly"]], "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams": [[415, 2, 1, "", "customBounds"], [415, 2, 1, "", "customBoundsStrategy"], [415, 2, 1, "", "explodeSentences"], [415, 2, 1, "", "maxLength"], [415, 2, 1, "", "minLength"], [415, 2, 1, "", "splitLength"], [415, 2, 1, "", "useAbbreviations"], [415, 2, 1, "", "useCustomBoundsOnly"]], "sparknlp.annotator.sentence.sentence_detector_dl": [[416, 1, 1, "", "SentenceDetectorDLApproach"], [416, 1, 1, "", "SentenceDetectorDLModel"]], "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach": [[416, 2, 1, "", "epochsNumber"], [416, 2, 1, "", "explodeSentences"], [416, 2, 1, "", "impossiblePenultimates"], [416, 2, 1, "", "inputAnnotatorTypes"], [416, 2, 1, "", "modelArchitecture"], [416, 2, 1, "", "name"], [416, 2, 1, "", "outputAnnotatorType"], [416, 2, 1, "", "outputLogsPath"], [416, 3, 1, "", "setEpochsNumber"], [416, 3, 1, "", "setExplodeSentences"], [416, 3, 1, "", "setImpossiblePenultimates"], [416, 3, 1, "", "setModel"], [416, 3, 1, "", "setOutputLogsPath"], [416, 3, 1, "", "setValidationSplit"], [416, 2, 1, "", "validationSplit"]], "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel": [[416, 2, 1, "", "customBounds"], [416, 2, 1, "", "explodeSentences"], [416, 2, 1, "", "impossiblePenultimates"], [416, 2, 1, "", "inputAnnotatorTypes"], [416, 2, 1, "", "maxLength"], [416, 2, 1, "", "minLength"], [416, 2, 1, "", "modelArchitecture"], [416, 2, 1, "", "name"], [416, 2, 1, "", "outputAnnotatorType"], [416, 3, 1, "", "pretrained"], [416, 3, 1, "", "setCustomBounds"], [416, 3, 1, "", "setExplodeSentences"], [416, 3, 1, "", "setImpossiblePenultimates"], [416, 3, 1, "", "setMaxLength"], [416, 3, 1, "", "setMinLength"], [416, 3, 1, "", "setModel"], [416, 3, 1, "", "setSplitLength"], [416, 3, 1, "", "setUseCustomBoundsOnly"], [416, 2, 1, "", "splitLength"], [416, 2, 1, "", "useCustomBoundsOnly"]], "sparknlp.annotator.sentiment": [[418, 0, 0, "-", "sentiment_detector"], [419, 0, 0, "-", "vivekn_sentiment"]], "sparknlp.annotator.sentiment.sentiment_detector": [[418, 1, 1, "", "SentimentDetector"], [418, 1, 1, "", "SentimentDetectorModel"]], "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector": [[418, 2, 1, "", "decrementMultiplier"], [418, 2, 1, "", "dictionary"], [418, 2, 1, "", "enableScore"], [418, 2, 1, "", "incrementMultiplier"], [418, 2, 1, "", "inputAnnotatorTypes"], [418, 2, 1, "", "negativeMultiplier"], [418, 2, 1, "", "outputAnnotatorType"], [418, 2, 1, "", "positiveMultiplier"], [418, 2, 1, "", "reverseMultiplier"], [418, 3, 1, "", "setDictionary"]], "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel": [[418, 2, 1, "", "inputAnnotatorTypes"], [418, 2, 1, "", "name"], [418, 2, 1, "", "outputAnnotatorType"], [418, 2, 1, "", "positiveMultiplier"]], "sparknlp.annotator.sentiment.vivekn_sentiment": [[419, 1, 1, "", "ViveknSentimentApproach"], [419, 1, 1, "", "ViveknSentimentModel"]], "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach": [[419, 2, 1, "", "featureLimit"], [419, 2, 1, "", "importantFeatureRatio"], [419, 2, 1, "", "inputAnnotatorTypes"], [419, 2, 1, "", "outputAnnotatorType"], [419, 2, 1, "", "pruneCorpus"], [419, 2, 1, "", "sentimentCol"], [419, 3, 1, "", "setPruneCorpus"], [419, 3, 1, "", "setSentimentCol"], [419, 2, 1, "", "unimportantFeatureStep"]], "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel": [[419, 2, 1, "", "featureLimit"], [419, 2, 1, "", "importantFeatureRatio"], [419, 2, 1, "", "inputAnnotatorTypes"], [419, 2, 1, "", "name"], [419, 2, 1, "", "outputAnnotatorType"], [419, 3, 1, "", "pretrained"], [419, 2, 1, "", "unimportantFeatureStep"]], "sparknlp.annotator.seq2seq": [[420, 0, 0, "-", "auto_gguf_model"], [421, 0, 0, "-", "auto_gguf_reranker"], [422, 0, 0, "-", "auto_gguf_vision_model"], [423, 0, 0, "-", "bart_transformer"], [424, 0, 0, "-", "cohere_transformer"], [425, 0, 0, "-", "cpm_transformer"], [426, 0, 0, "-", "gpt2_transformer"], [428, 0, 0, "-", "llama2_transformer"], [429, 0, 0, "-", "llama3_transformer"], [430, 0, 0, "-", "m2m100_transformer"], [431, 0, 0, "-", "marian_transformer"], [432, 0, 0, "-", "mistral_transformer"], [433, 0, 0, "-", "nllb_transformer"], [434, 0, 0, "-", "olmo_transformer"], [435, 0, 0, "-", "phi2_transformer"], [436, 0, 0, "-", "phi3_transformer"], [437, 0, 0, "-", "phi4_transformer"], [438, 0, 0, "-", "qwen_transformer"], [439, 0, 0, "-", "starcoder_transformer"], [440, 0, 0, "-", "t5_transformer"]], "sparknlp.annotator.seq2seq.auto_gguf_model": [[420, 1, 1, "", "AutoGGUFModel"]], "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel": [[420, 3, 1, "", "close"], [420, 2, 1, "", "inputAnnotatorTypes"], [420, 3, 1, "", "loadSavedModel"], [420, 2, 1, "", "name"], [420, 2, 1, "", "outputAnnotatorType"], [420, 3, 1, "", "pretrained"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker": [[421, 1, 1, "", "AutoGGUFReranker"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker": [[421, 3, 1, "", "close"], [421, 3, 1, "", "getQuery"], [421, 2, 1, "", "inputAnnotatorTypes"], [421, 3, 1, "", "loadSavedModel"], [421, 2, 1, "", "name"], [421, 2, 1, "", "outputAnnotatorType"], [421, 3, 1, "", "pretrained"], [421, 2, 1, "", "query"], [421, 3, 1, "", "setQuery"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model": [[422, 1, 1, "", "AutoGGUFVisionModel"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel": [[422, 3, 1, "", "close"], [422, 2, 1, "", "inputAnnotatorTypes"], [422, 3, 1, "", "loadSavedModel"], [422, 2, 1, "", "name"], [422, 2, 1, "", "outputAnnotatorType"], [422, 3, 1, "", "pretrained"]], "sparknlp.annotator.seq2seq.bart_transformer": [[423, 1, 1, "", "BartTransformer"]], "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer": [[423, 2, 1, "", "beamSize"], [423, 2, 1, "", "configProtoBytes"], [423, 2, 1, "", "doSample"], [423, 2, 1, "", "ignoreTokenIds"], [423, 2, 1, "", "inputAnnotatorTypes"], [423, 3, 1, "", "loadSavedModel"], [423, 2, 1, "", "maxOutputLength"], [423, 2, 1, "", "minOutputLength"], [423, 2, 1, "", "name"], [423, 2, 1, "", "noRepeatNgramSize"], [423, 2, 1, "", "outputAnnotatorType"], [423, 3, 1, "", "pretrained"], [423, 2, 1, "", "repetitionPenalty"], [423, 3, 1, "", "setBeamSize"], [423, 3, 1, "", "setCache"], [423, 3, 1, "", "setConfigProtoBytes"], [423, 3, 1, "", "setDoSample"], [423, 3, 1, "", "setIgnoreTokenIds"], [423, 3, 1, "", "setMaxOutputLength"], [423, 3, 1, "", "setMinOutputLength"], [423, 3, 1, "", "setNoRepeatNgramSize"], [423, 3, 1, "", "setRepetitionPenalty"], [423, 3, 1, "", "setTask"], [423, 3, 1, "", "setTemperature"], [423, 3, 1, "", "setTopK"], [423, 3, 1, "", "setTopP"], [423, 2, 1, "", "task"], [423, 2, 1, "", "temperature"], [423, 2, 1, "", "topK"], [423, 2, 1, "", "topP"], [423, 2, 1, "", "useCache"]], "sparknlp.annotator.seq2seq.cohere_transformer": [[424, 1, 1, "", "CoHereTransformer"]], "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer": [[424, 2, 1, "", "beamSize"], [424, 2, 1, "", "configProtoBytes"], [424, 2, 1, "", "doSample"], [424, 2, 1, "", "ignoreTokenIds"], [424, 2, 1, "", "inputAnnotatorTypes"], [424, 3, 1, "", "loadSavedModel"], [424, 2, 1, "", "maxOutputLength"], [424, 2, 1, "", "minOutputLength"], [424, 2, 1, "", "name"], [424, 2, 1, "", "noRepeatNgramSize"], [424, 2, 1, "", "outputAnnotatorType"], [424, 3, 1, "", "pretrained"], [424, 2, 1, "", "repetitionPenalty"], [424, 3, 1, "", "setBeamSize"], [424, 3, 1, "", "setConfigProtoBytes"], [424, 3, 1, "", "setDoSample"], [424, 3, 1, "", "setIgnoreTokenIds"], [424, 3, 1, "", "setMaxOutputLength"], [424, 3, 1, "", "setMinOutputLength"], [424, 3, 1, "", "setNoRepeatNgramSize"], [424, 3, 1, "", "setRepetitionPenalty"], [424, 3, 1, "", "setStopTokenIds"], [424, 3, 1, "", "setTemperature"], [424, 3, 1, "", "setTopK"], [424, 3, 1, "", "setTopP"], [424, 2, 1, "", "stopTokenIds"], [424, 2, 1, "", "temperature"], [424, 2, 1, "", "topK"], [424, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.cpm_transformer": [[425, 1, 1, "", "CPMTransformer"]], "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer": [[425, 2, 1, "", "configProtoBytes"], [425, 2, 1, "", "doSample"], [425, 2, 1, "", "ignoreTokenIds"], [425, 2, 1, "", "inputAnnotatorTypes"], [425, 3, 1, "", "loadSavedModel"], [425, 2, 1, "", "maxOutputLength"], [425, 2, 1, "", "minOutputLength"], [425, 2, 1, "", "name"], [425, 2, 1, "", "noRepeatNgramSize"], [425, 2, 1, "", "outputAnnotatorType"], [425, 3, 1, "", "pretrained"], [425, 2, 1, "", "repetitionPenalty"], [425, 3, 1, "", "setConfigProtoBytes"], [425, 3, 1, "", "setDoSample"], [425, 3, 1, "", "setIgnoreTokenIds"], [425, 3, 1, "", "setMaxOutputLength"], [425, 3, 1, "", "setMinOutputLength"], [425, 3, 1, "", "setNoRepeatNgramSize"], [425, 3, 1, "", "setRepetitionPenalty"], [425, 3, 1, "", "setTemperature"], [425, 3, 1, "", "setTopK"], [425, 3, 1, "", "setTopP"], [425, 2, 1, "", "temperature"], [425, 2, 1, "", "topK"], [425, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.gpt2_transformer": [[426, 1, 1, "", "GPT2Transformer"]], "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer": [[426, 2, 1, "", "configProtoBytes"], [426, 2, 1, "", "doSample"], [426, 2, 1, "", "ignoreTokenIds"], [426, 2, 1, "", "inputAnnotatorTypes"], [426, 3, 1, "", "loadSavedModel"], [426, 2, 1, "", "maxOutputLength"], [426, 2, 1, "", "minOutputLength"], [426, 2, 1, "", "name"], [426, 2, 1, "", "noRepeatNgramSize"], [426, 2, 1, "", "outputAnnotatorType"], [426, 3, 1, "", "pretrained"], [426, 2, 1, "", "repetitionPenalty"], [426, 3, 1, "", "setConfigProtoBytes"], [426, 3, 1, "", "setDoSample"], [426, 3, 1, "", "setIgnoreTokenIds"], [426, 3, 1, "", "setMaxOutputLength"], [426, 3, 1, "", "setMinOutputLength"], [426, 3, 1, "", "setNoRepeatNgramSize"], [426, 3, 1, "", "setRepetitionPenalty"], [426, 3, 1, "", "setTask"], [426, 3, 1, "", "setTemperature"], [426, 3, 1, "", "setTopK"], [426, 3, 1, "", "setTopP"], [426, 2, 1, "", "task"], [426, 2, 1, "", "temperature"], [426, 2, 1, "", "topK"], [426, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.llama2_transformer": [[428, 1, 1, "", "LLAMA2Transformer"]], "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer": [[428, 2, 1, "", "configProtoBytes"], [428, 2, 1, "", "doSample"], [428, 2, 1, "", "ignoreTokenIds"], [428, 2, 1, "", "inputAnnotatorTypes"], [428, 3, 1, "", "loadSavedModel"], [428, 2, 1, "", "maxOutputLength"], [428, 2, 1, "", "minOutputLength"], [428, 2, 1, "", "name"], [428, 2, 1, "", "noRepeatNgramSize"], [428, 2, 1, "", "outputAnnotatorType"], [428, 3, 1, "", "pretrained"], [428, 2, 1, "", "repetitionPenalty"], [428, 3, 1, "", "setConfigProtoBytes"], [428, 3, 1, "", "setDoSample"], [428, 3, 1, "", "setIgnoreTokenIds"], [428, 3, 1, "", "setMaxOutputLength"], [428, 3, 1, "", "setMinOutputLength"], [428, 3, 1, "", "setNoRepeatNgramSize"], [428, 3, 1, "", "setRepetitionPenalty"], [428, 3, 1, "", "setTemperature"], [428, 3, 1, "", "setTopK"], [428, 3, 1, "", "setTopP"], [428, 2, 1, "", "temperature"], [428, 2, 1, "", "topK"], [428, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.llama3_transformer": [[429, 1, 1, "", "LLAMA3Transformer"]], "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer": [[429, 2, 1, "", "beamSize"], [429, 2, 1, "", "configProtoBytes"], [429, 2, 1, "", "doSample"], [429, 2, 1, "", "ignoreTokenIds"], [429, 2, 1, "", "inputAnnotatorTypes"], [429, 3, 1, "", "loadSavedModel"], [429, 2, 1, "", "maxOutputLength"], [429, 2, 1, "", "minOutputLength"], [429, 2, 1, "", "name"], [429, 2, 1, "", "noRepeatNgramSize"], [429, 2, 1, "", "outputAnnotatorType"], [429, 3, 1, "", "pretrained"], [429, 2, 1, "", "repetitionPenalty"], [429, 3, 1, "", "setBeamSize"], [429, 3, 1, "", "setConfigProtoBytes"], [429, 3, 1, "", "setDoSample"], [429, 3, 1, "", "setIgnoreTokenIds"], [429, 3, 1, "", "setMaxOutputLength"], [429, 3, 1, "", "setMinOutputLength"], [429, 3, 1, "", "setNoRepeatNgramSize"], [429, 3, 1, "", "setRepetitionPenalty"], [429, 3, 1, "", "setStopTokenIds"], [429, 3, 1, "", "setTemperature"], [429, 3, 1, "", "setTopK"], [429, 3, 1, "", "setTopP"], [429, 2, 1, "", "stopTokenIds"], [429, 2, 1, "", "temperature"], [429, 2, 1, "", "topK"], [429, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.m2m100_transformer": [[430, 1, 1, "", "M2M100Transformer"]], "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer": [[430, 2, 1, "", "beamSize"], [430, 2, 1, "", "configProtoBytes"], [430, 2, 1, "", "doSample"], [430, 2, 1, "", "ignoreTokenIds"], [430, 2, 1, "", "inputAnnotatorTypes"], [430, 3, 1, "", "loadSavedModel"], [430, 2, 1, "", "maxOutputLength"], [430, 2, 1, "", "minOutputLength"], [430, 2, 1, "", "name"], [430, 2, 1, "", "noRepeatNgramSize"], [430, 2, 1, "", "outputAnnotatorType"], [430, 3, 1, "", "pretrained"], [430, 2, 1, "", "repetitionPenalty"], [430, 3, 1, "", "setBeamSize"], [430, 3, 1, "", "setConfigProtoBytes"], [430, 3, 1, "", "setDoSample"], [430, 3, 1, "", "setIgnoreTokenIds"], [430, 3, 1, "", "setMaxOutputLength"], [430, 3, 1, "", "setMinOutputLength"], [430, 3, 1, "", "setNoRepeatNgramSize"], [430, 3, 1, "", "setRepetitionPenalty"], [430, 3, 1, "", "setSrcLang"], [430, 3, 1, "", "setTemperature"], [430, 3, 1, "", "setTgtLang"], [430, 3, 1, "", "setTopK"], [430, 3, 1, "", "setTopP"], [430, 2, 1, "", "srcLang"], [430, 2, 1, "", "temperature"], [430, 2, 1, "", "tgtLang"], [430, 2, 1, "", "topK"], [430, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.marian_transformer": [[431, 1, 1, "", "MarianTransformer"]], "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer": [[431, 2, 1, "", "configProtoBytes"], [431, 2, 1, "", "doSample"], [431, 2, 1, "", "ignoreTokenIds"], [431, 2, 1, "", "inputAnnotatorTypes"], [431, 2, 1, "", "langId"], [431, 3, 1, "", "loadSavedModel"], [431, 2, 1, "", "maxInputLength"], [431, 2, 1, "", "maxOutputLength"], [431, 2, 1, "", "name"], [431, 2, 1, "", "noRepeatNgramSize"], [431, 2, 1, "", "outputAnnotatorType"], [431, 3, 1, "", "pretrained"], [431, 2, 1, "", "repetitionPenalty"], [431, 3, 1, "", "setConfigProtoBytes"], [431, 3, 1, "", "setDoSample"], [431, 3, 1, "", "setIgnoreTokenIds"], [431, 3, 1, "", "setLangId"], [431, 3, 1, "", "setMaxInputLength"], [431, 3, 1, "", "setMaxOutputLength"], [431, 3, 1, "", "setNoRepeatNgramSize"], [431, 3, 1, "", "setRandomSeed"], [431, 3, 1, "", "setRepetitionPenalty"], [431, 3, 1, "", "setTemperature"], [431, 3, 1, "", "setTopK"], [431, 3, 1, "", "setTopP"], [431, 2, 1, "", "temperature"], [431, 2, 1, "", "topK"], [431, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.mistral_transformer": [[432, 1, 1, "", "MistralTransformer"]], "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer": [[432, 2, 1, "", "configProtoBytes"], [432, 2, 1, "", "doSample"], [432, 2, 1, "", "ignoreTokenIds"], [432, 2, 1, "", "inputAnnotatorTypes"], [432, 3, 1, "", "loadSavedModel"], [432, 2, 1, "", "maxOutputLength"], [432, 2, 1, "", "minOutputLength"], [432, 2, 1, "", "name"], [432, 2, 1, "", "noRepeatNgramSize"], [432, 2, 1, "", "outputAnnotatorType"], [432, 3, 1, "", "pretrained"], [432, 2, 1, "", "repetitionPenalty"], [432, 3, 1, "", "setConfigProtoBytes"], [432, 3, 1, "", "setDoSample"], [432, 3, 1, "", "setIgnoreTokenIds"], [432, 3, 1, "", "setMaxOutputLength"], [432, 3, 1, "", "setMinOutputLength"], [432, 3, 1, "", "setNoRepeatNgramSize"], [432, 3, 1, "", "setRepetitionPenalty"], [432, 3, 1, "", "setTemperature"], [432, 3, 1, "", "setTopK"], [432, 3, 1, "", "setTopP"], [432, 2, 1, "", "temperature"], [432, 2, 1, "", "topK"], [432, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.nllb_transformer": [[433, 1, 1, "", "NLLBTransformer"]], "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer": [[433, 2, 1, "", "beamSize"], [433, 2, 1, "", "configProtoBytes"], [433, 2, 1, "", "doSample"], [433, 2, 1, "", "ignoreTokenIds"], [433, 2, 1, "", "inputAnnotatorTypes"], [433, 3, 1, "", "loadSavedModel"], [433, 2, 1, "", "maxOutputLength"], [433, 2, 1, "", "minOutputLength"], [433, 2, 1, "", "name"], [433, 2, 1, "", "noRepeatNgramSize"], [433, 2, 1, "", "outputAnnotatorType"], [433, 3, 1, "", "pretrained"], [433, 2, 1, "", "repetitionPenalty"], [433, 3, 1, "", "setBeamSize"], [433, 3, 1, "", "setConfigProtoBytes"], [433, 3, 1, "", "setDoSample"], [433, 3, 1, "", "setIgnoreTokenIds"], [433, 3, 1, "", "setMaxOutputLength"], [433, 3, 1, "", "setMinOutputLength"], [433, 3, 1, "", "setNoRepeatNgramSize"], [433, 3, 1, "", "setRepetitionPenalty"], [433, 3, 1, "", "setSrcLang"], [433, 3, 1, "", "setTemperature"], [433, 3, 1, "", "setTgtLang"], [433, 3, 1, "", "setTopK"], [433, 3, 1, "", "setTopP"], [433, 2, 1, "", "srcLang"], [433, 2, 1, "", "temperature"], [433, 2, 1, "", "tgtLang"], [433, 2, 1, "", "topK"], [433, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.olmo_transformer": [[434, 1, 1, "", "OLMoTransformer"]], "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer": [[434, 2, 1, "", "configProtoBytes"], [434, 2, 1, "", "doSample"], [434, 2, 1, "", "ignoreTokenIds"], [434, 2, 1, "", "inputAnnotatorTypes"], [434, 3, 1, "", "loadSavedModel"], [434, 2, 1, "", "maxOutputLength"], [434, 2, 1, "", "minOutputLength"], [434, 2, 1, "", "name"], [434, 2, 1, "", "noRepeatNgramSize"], [434, 2, 1, "", "outputAnnotatorType"], [434, 3, 1, "", "pretrained"], [434, 2, 1, "", "repetitionPenalty"], [434, 3, 1, "", "setConfigProtoBytes"], [434, 3, 1, "", "setDoSample"], [434, 3, 1, "", "setIgnoreTokenIds"], [434, 3, 1, "", "setMaxOutputLength"], [434, 3, 1, "", "setMinOutputLength"], [434, 3, 1, "", "setNoRepeatNgramSize"], [434, 3, 1, "", "setRepetitionPenalty"], [434, 3, 1, "", "setTemperature"], [434, 3, 1, "", "setTopK"], [434, 3, 1, "", "setTopP"], [434, 2, 1, "", "temperature"], [434, 2, 1, "", "topK"], [434, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.phi2_transformer": [[435, 1, 1, "", "Phi2Transformer"]], "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer": [[435, 2, 1, "", "configProtoBytes"], [435, 2, 1, "", "doSample"], [435, 2, 1, "", "ignoreTokenIds"], [435, 2, 1, "", "inputAnnotatorTypes"], [435, 3, 1, "", "loadSavedModel"], [435, 2, 1, "", "maxOutputLength"], [435, 2, 1, "", "minOutputLength"], [435, 2, 1, "", "name"], [435, 2, 1, "", "noRepeatNgramSize"], [435, 2, 1, "", "outputAnnotatorType"], [435, 3, 1, "", "pretrained"], [435, 2, 1, "", "repetitionPenalty"], [435, 3, 1, "", "setConfigProtoBytes"], [435, 3, 1, "", "setDoSample"], [435, 3, 1, "", "setIgnoreTokenIds"], [435, 3, 1, "", "setMaxOutputLength"], [435, 3, 1, "", "setMinOutputLength"], [435, 3, 1, "", "setNoRepeatNgramSize"], [435, 3, 1, "", "setRepetitionPenalty"], [435, 3, 1, "", "setTemperature"], [435, 3, 1, "", "setTopK"], [435, 3, 1, "", "setTopP"], [435, 2, 1, "", "temperature"], [435, 2, 1, "", "topK"], [435, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.phi3_transformer": [[436, 1, 1, "", "Phi3Transformer"]], "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer": [[436, 2, 1, "", "configProtoBytes"], [436, 2, 1, "", "doSample"], [436, 2, 1, "", "ignoreTokenIds"], [436, 2, 1, "", "inputAnnotatorTypes"], [436, 3, 1, "", "loadSavedModel"], [436, 2, 1, "", "maxOutputLength"], [436, 2, 1, "", "minOutputLength"], [436, 2, 1, "", "name"], [436, 2, 1, "", "noRepeatNgramSize"], [436, 2, 1, "", "outputAnnotatorType"], [436, 3, 1, "", "pretrained"], [436, 2, 1, "", "repetitionPenalty"], [436, 3, 1, "", "setConfigProtoBytes"], [436, 3, 1, "", "setDoSample"], [436, 3, 1, "", "setIgnoreTokenIds"], [436, 3, 1, "", "setMaxOutputLength"], [436, 3, 1, "", "setMinOutputLength"], [436, 3, 1, "", "setNoRepeatNgramSize"], [436, 3, 1, "", "setRepetitionPenalty"], [436, 3, 1, "", "setTemperature"], [436, 3, 1, "", "setTopK"], [436, 3, 1, "", "setTopP"], [436, 2, 1, "", "temperature"], [436, 2, 1, "", "topK"], [436, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.phi4_transformer": [[437, 1, 1, "", "Phi4Transformer"]], "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer": [[437, 2, 1, "", "beamSize"], [437, 2, 1, "", "configProtoBytes"], [437, 2, 1, "", "doSample"], [437, 2, 1, "", "ignoreTokenIds"], [437, 2, 1, "", "inputAnnotatorTypes"], [437, 3, 1, "", "loadSavedModel"], [437, 2, 1, "", "maxOutputLength"], [437, 2, 1, "", "minOutputLength"], [437, 2, 1, "", "name"], [437, 2, 1, "", "noRepeatNgramSize"], [437, 2, 1, "", "outputAnnotatorType"], [437, 3, 1, "", "pretrained"], [437, 2, 1, "", "repetitionPenalty"], [437, 3, 1, "", "setBeamSize"], [437, 3, 1, "", "setConfigProtoBytes"], [437, 3, 1, "", "setDoSample"], [437, 3, 1, "", "setIgnoreTokenIds"], [437, 3, 1, "", "setMaxOutputLength"], [437, 3, 1, "", "setMinOutputLength"], [437, 3, 1, "", "setNoRepeatNgramSize"], [437, 3, 1, "", "setRepetitionPenalty"], [437, 3, 1, "", "setStopTokenIds"], [437, 3, 1, "", "setTemperature"], [437, 3, 1, "", "setTopK"], [437, 3, 1, "", "setTopP"], [437, 2, 1, "", "stopTokenIds"], [437, 2, 1, "", "temperature"], [437, 2, 1, "", "topK"], [437, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.qwen_transformer": [[438, 1, 1, "", "QwenTransformer"]], "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer": [[438, 2, 1, "", "configProtoBytes"], [438, 2, 1, "", "doSample"], [438, 2, 1, "", "ignoreTokenIds"], [438, 2, 1, "", "inputAnnotatorTypes"], [438, 3, 1, "", "loadSavedModel"], [438, 2, 1, "", "maxOutputLength"], [438, 2, 1, "", "minOutputLength"], [438, 2, 1, "", "name"], [438, 2, 1, "", "noRepeatNgramSize"], [438, 2, 1, "", "outputAnnotatorType"], [438, 3, 1, "", "pretrained"], [438, 2, 1, "", "repetitionPenalty"], [438, 3, 1, "", "setConfigProtoBytes"], [438, 3, 1, "", "setDoSample"], [438, 3, 1, "", "setIgnoreTokenIds"], [438, 3, 1, "", "setMaxOutputLength"], [438, 3, 1, "", "setMinOutputLength"], [438, 3, 1, "", "setNoRepeatNgramSize"], [438, 3, 1, "", "setRepetitionPenalty"], [438, 3, 1, "", "setTemperature"], [438, 3, 1, "", "setTopK"], [438, 3, 1, "", "setTopP"], [438, 2, 1, "", "temperature"], [438, 2, 1, "", "topK"], [438, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.starcoder_transformer": [[439, 1, 1, "", "StarCoderTransformer"]], "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer": [[439, 2, 1, "", "configProtoBytes"], [439, 2, 1, "", "doSample"], [439, 2, 1, "", "ignoreTokenIds"], [439, 2, 1, "", "inputAnnotatorTypes"], [439, 3, 1, "", "loadSavedModel"], [439, 2, 1, "", "maxOutputLength"], [439, 2, 1, "", "minOutputLength"], [439, 2, 1, "", "name"], [439, 2, 1, "", "noRepeatNgramSize"], [439, 2, 1, "", "outputAnnotatorType"], [439, 3, 1, "", "pretrained"], [439, 2, 1, "", "repetitionPenalty"], [439, 3, 1, "", "setConfigProtoBytes"], [439, 3, 1, "", "setDoSample"], [439, 3, 1, "", "setIgnoreTokenIds"], [439, 3, 1, "", "setMaxOutputLength"], [439, 3, 1, "", "setMinOutputLength"], [439, 3, 1, "", "setNoRepeatNgramSize"], [439, 3, 1, "", "setRepetitionPenalty"], [439, 3, 1, "", "setTemperature"], [439, 3, 1, "", "setTopK"], [439, 3, 1, "", "setTopP"], [439, 2, 1, "", "temperature"], [439, 2, 1, "", "topK"], [439, 2, 1, "", "topP"]], "sparknlp.annotator.seq2seq.t5_transformer": [[440, 1, 1, "", "T5Transformer"]], "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer": [[440, 2, 1, "", "configProtoBytes"], [440, 2, 1, "", "doSample"], [440, 2, 1, "", "ignoreTokenIds"], [440, 2, 1, "", "inputAnnotatorTypes"], [440, 3, 1, "", "loadSavedModel"], [440, 2, 1, "", "maxNewTokens"], [440, 2, 1, "", "maxOutputLength"], [440, 2, 1, "", "minOutputLength"], [440, 2, 1, "", "name"], [440, 2, 1, "", "noRepeatNgramSize"], [440, 2, 1, "", "outputAnnotatorType"], [440, 3, 1, "", "pretrained"], [440, 2, 1, "", "repetitionPenalty"], [440, 3, 1, "", "setConfigProtoBytes"], [440, 3, 1, "", "setDoSample"], [440, 3, 1, "", "setIgnoreTokenIds"], [440, 3, 1, "", "setMaxNewTokens"], [440, 3, 1, "", "setMaxOutputLength"], [440, 3, 1, "", "setMinOutputLength"], [440, 3, 1, "", "setNoRepeatNgramSize"], [440, 3, 1, "", "setRepetitionPenalty"], [440, 3, 1, "", "setStopAtEos"], [440, 3, 1, "", "setTask"], [440, 3, 1, "", "setTemperature"], [440, 3, 1, "", "setTopK"], [440, 3, 1, "", "setTopP"], [440, 3, 1, "", "setUseCache"], [440, 2, 1, "", "stopAtEos"], [440, 2, 1, "", "task"], [440, 2, 1, "", "temperature"], [440, 2, 1, "", "topK"], [440, 2, 1, "", "topP"], [440, 2, 1, "", "useCache"]], "sparknlp.annotator.similarity": [[441, 0, 0, "-", "document_similarity_ranker"]], "sparknlp.annotator.similarity.document_similarity_ranker": [[441, 1, 1, "", "DocumentSimilarityRankerApproach"], [441, 1, 1, "", "DocumentSimilarityRankerFinisher"], [441, 1, 1, "", "DocumentSimilarityRankerModel"]], "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach": [[441, 2, 1, "", "aggregationMethod"], [441, 3, 1, "", "asRetriever"], [441, 2, 1, "", "asRetrieverQuery"], [441, 2, 1, "", "bucketLength"], [441, 2, 1, "", "identityRanking"], [441, 2, 1, "", "inputAnnotatorTypes"], [441, 2, 1, "", "numHashTables"], [441, 2, 1, "", "numberOfNeighbours"], [441, 2, 1, "", "outputAnnotatorType"], [441, 3, 1, "", "setAggregationMethod"], [441, 3, 1, "", "setBucketLength"], [441, 3, 1, "", "setIdentityRanking"], [441, 3, 1, "", "setNumHashTables"], [441, 3, 1, "", "setNumberOfNeighbours"], [441, 3, 1, "", "setSimilarityMethod"], [441, 3, 1, "", "setVisibleDistances"], [441, 2, 1, "", "similarityMethod"], [441, 2, 1, "", "visibleDistances"]], "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher": [[441, 2, 1, "", "extractNearestNeighbor"], [441, 3, 1, "", "getInputCols"], [441, 3, 1, "", "getOutputCols"], [441, 2, 1, "", "inputCols"], [441, 2, 1, "", "name"], [441, 2, 1, "", "outputCols"], [441, 3, 1, "", "setExtractNearestNeighbor"], [441, 3, 1, "", "setInputCols"], [441, 3, 1, "", "setOutputCols"], [441, 3, 1, "", "setParams"]], "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel": [[441, 2, 1, "", "inputAnnotatorTypes"], [441, 2, 1, "", "name"], [441, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.spell_check": [[443, 0, 0, "-", "context_spell_checker"], [445, 0, 0, "-", "norvig_sweeting"], [446, 0, 0, "-", "symmetric_delete"]], "sparknlp.annotator.spell_check.context_spell_checker": [[443, 1, 1, "", "ContextSpellCheckerApproach"], [443, 1, 1, "", "ContextSpellCheckerModel"]], "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach": [[443, 3, 1, "", "addRegexClass"], [443, 3, 1, "", "addVocabClass"], [443, 2, 1, "", "batchSize"], [443, 2, 1, "", "caseStrategy"], [443, 2, 1, "", "classCount"], [443, 2, 1, "", "compoundCount"], [443, 2, 1, "", "configProtoBytes"], [443, 2, 1, "", "epochs"], [443, 2, 1, "", "errorThreshold"], [443, 2, 1, "", "finalRate"], [443, 2, 1, "", "graphFolder"], [443, 2, 1, "", "initialRate"], [443, 2, 1, "", "inputAnnotatorTypes"], [443, 2, 1, "", "languageModelClasses"], [443, 2, 1, "", "maxCandidates"], [443, 2, 1, "", "maxSentLen"], [443, 2, 1, "", "maxWindowLen"], [443, 2, 1, "", "minCount"], [443, 2, 1, "", "name"], [443, 2, 1, "", "outputAnnotatorType"], [443, 3, 1, "", "setBatchSize"], [443, 3, 1, "", "setCaseStrategy"], [443, 3, 1, "", "setClassCount"], [443, 3, 1, "", "setCompoundCount"], [443, 3, 1, "", "setConfigProtoBytes"], [443, 3, 1, "", "setEpochs"], [443, 3, 1, "", "setErrorThreshold"], [443, 3, 1, "", "setFinalRate"], [443, 3, 1, "", "setGraphFolder"], [443, 3, 1, "", "setInitialRate"], [443, 3, 1, "", "setLanguageModelClasses"], [443, 3, 1, "", "setMaxCandidates"], [443, 3, 1, "", "setMaxSentLen"], [443, 3, 1, "", "setMaxWindowLen"], [443, 3, 1, "", "setMinCount"], [443, 3, 1, "", "setTradeoff"], [443, 3, 1, "", "setValidationFraction"], [443, 3, 1, "", "setWeightedDistPath"], [443, 3, 1, "", "setWordMaxDistance"], [443, 2, 1, "", "tradeoff"], [443, 2, 1, "", "validationFraction"], [443, 2, 1, "", "weightedDistPath"], [443, 2, 1, "", "wordMaxDistance"]], "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel": [[443, 2, 1, "", "caseStrategy"], [443, 2, 1, "", "classes"], [443, 2, 1, "", "compareLowcase"], [443, 2, 1, "", "configProtoBytes"], [443, 2, 1, "", "correctSymbols"], [443, 2, 1, "", "errorThreshold"], [443, 2, 1, "", "gamma"], [443, 3, 1, "", "getWordClasses"], [443, 2, 1, "", "idsVocab"], [443, 2, 1, "", "inputAnnotatorTypes"], [443, 2, 1, "", "maxCandidates"], [443, 2, 1, "", "maxWindowLen"], [443, 2, 1, "", "name"], [443, 2, 1, "", "outputAnnotatorType"], [443, 3, 1, "", "pretrained"], [443, 3, 1, "", "setCaseStrategy"], [443, 3, 1, "", "setClasses"], [443, 3, 1, "", "setCompareLowcase"], [443, 3, 1, "", "setConfigProtoBytes"], [443, 3, 1, "", "setCorrectSymbols"], [443, 3, 1, "", "setErrorThreshold"], [443, 3, 1, "", "setGamma"], [443, 3, 1, "", "setIdsVocab"], [443, 3, 1, "", "setMaxCandidates"], [443, 3, 1, "", "setMaxWindowLen"], [443, 3, 1, "", "setTradeoff"], [443, 3, 1, "", "setVocabFreq"], [443, 3, 1, "", "setVocabIds"], [443, 3, 1, "", "setWeights"], [443, 3, 1, "", "setWordMaxDistance"], [443, 2, 1, "", "tradeoff"], [443, 3, 1, "", "updateRegexClass"], [443, 3, 1, "", "updateVocabClass"], [443, 2, 1, "", "vocabFreq"], [443, 2, 1, "", "vocabIds"], [443, 2, 1, "", "wordMaxDistance"]], "sparknlp.annotator.spell_check.norvig_sweeting": [[445, 1, 1, "", "NorvigSweetingApproach"], [445, 1, 1, "", "NorvigSweetingModel"]], "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach": [[445, 2, 1, "", "caseSensitive"], [445, 2, 1, "", "dictionary"], [445, 2, 1, "", "dictionary_path"], [445, 2, 1, "", "doubleVariants"], [445, 2, 1, "", "dupsLimit"], [445, 2, 1, "", "frequencyPriority"], [445, 2, 1, "", "inputAnnotatorTypes"], [445, 2, 1, "", "intersections"], [445, 2, 1, "", "outputAnnotatorType"], [445, 2, 1, "", "reductLimit"], [445, 3, 1, "", "setCaseSensitive"], [445, 3, 1, "", "setDictionary"], [445, 3, 1, "", "setDoubleVariants"], [445, 3, 1, "", "setFrequencyPriority"], [445, 3, 1, "", "setShortCircuit"], [445, 2, 1, "", "shortCircuit"], [445, 2, 1, "", "vowelSwapLimit"], [445, 2, 1, "", "wordSizeIgnore"]], "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel": [[445, 2, 1, "", "inputAnnotatorTypes"], [445, 2, 1, "", "name"], [445, 2, 1, "", "outputAnnotatorType"], [445, 3, 1, "", "pretrained"]], "sparknlp.annotator.spell_check.symmetric_delete": [[446, 1, 1, "", "SymmetricDeleteApproach"], [446, 1, 1, "", "SymmetricDeleteModel"]], "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach": [[446, 2, 1, "", "corpus"], [446, 2, 1, "", "deletesThreshold"], [446, 2, 1, "", "dictionary"], [446, 2, 1, "", "dictionary_path"], [446, 2, 1, "", "dupsLimit"], [446, 2, 1, "", "frequencyThreshold"], [446, 2, 1, "", "inputAnnotatorTypes"], [446, 2, 1, "", "maxEditDistance"], [446, 2, 1, "", "outputAnnotatorType"], [446, 3, 1, "", "setDeletesThreshold"], [446, 3, 1, "", "setDictionary"], [446, 3, 1, "", "setFrequencyThreshold"], [446, 3, 1, "", "setMaxEditDistance"]], "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel": [[446, 2, 1, "", "inputAnnotatorTypes"], [446, 2, 1, "", "name"], [446, 2, 1, "", "outputAnnotatorType"], [446, 3, 1, "", "pretrained"]], "sparknlp.annotator.stemmer": [[447, 1, 1, "", "Stemmer"]], "sparknlp.annotator.stemmer.Stemmer": [[447, 2, 1, "", "inputAnnotatorTypes"], [447, 2, 1, "", "language"], [447, 2, 1, "", "name"], [447, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.stop_words_cleaner": [[448, 1, 1, "", "StopWordsCleaner"]], "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner": [[448, 2, 1, "", "caseSensitive"], [448, 2, 1, "", "inputAnnotatorTypes"], [448, 3, 1, "", "loadDefaultStopWords"], [448, 2, 1, "", "locale"], [448, 2, 1, "", "name"], [448, 2, 1, "", "outputAnnotatorType"], [448, 3, 1, "", "pretrained"], [448, 3, 1, "", "setCaseSensitive"], [448, 3, 1, "", "setLocale"], [448, 3, 1, "", "setStopWords"], [448, 2, 1, "", "stopWords"]], "sparknlp.annotator.tf_ner_dl_graph_builder": [[449, 1, 1, "", "TFNerDLGraphBuilder"], [449, 1, 1, "", "TFNerDLGraphBuilderModel"]], "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder": [[449, 3, 1, "", "getGraphFile"], [449, 3, 1, "", "getGraphFolder"], [449, 3, 1, "", "getHiddenUnitsNumber"], [449, 3, 1, "", "getInputCols"], [449, 3, 1, "", "getLabelColumn"], [449, 2, 1, "", "graphFile"], [449, 2, 1, "", "graphFolder"], [449, 2, 1, "", "hiddenUnitsNumber"], [449, 2, 1, "", "inputAnnotatorTypes"], [449, 2, 1, "", "inputCols"], [449, 3, 1, "", "inputColsValidation"], [449, 2, 1, "", "labelColumn"], [449, 3, 1, "", "setGraphFile"], [449, 3, 1, "", "setGraphFolder"], [449, 3, 1, "", "setHiddenUnitsNumber"], [449, 3, 1, "", "setInputCols"], [449, 3, 1, "", "setLabelColumn"]], "sparknlp.annotator.token": [[450, 0, 0, "-", "chunk_tokenizer"], [452, 0, 0, "-", "recursive_tokenizer"], [453, 0, 0, "-", "regex_tokenizer"], [454, 0, 0, "-", "tokenizer"]], "sparknlp.annotator.token.chunk_tokenizer": [[450, 1, 1, "", "ChunkTokenizer"], [450, 1, 1, "", "ChunkTokenizerModel"]], "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer": [[450, 2, 1, "", "inputAnnotatorTypes"], [450, 2, 1, "", "name"]], "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel": [[450, 2, 1, "", "inputAnnotatorTypes"], [450, 2, 1, "", "name"]], "sparknlp.annotator.token.recursive_tokenizer": [[452, 1, 1, "", "RecursiveTokenizer"], [452, 1, 1, "", "RecursiveTokenizerModel"]], "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer": [[452, 2, 1, "", "infixes"], [452, 2, 1, "", "inputAnnotatorTypes"], [452, 2, 1, "", "name"], [452, 2, 1, "", "outputAnnotatorType"], [452, 2, 1, "", "prefixes"], [452, 3, 1, "", "setInfixes"], [452, 3, 1, "", "setPrefixes"], [452, 3, 1, "", "setSuffixes"], [452, 3, 1, "", "setWhitelist"], [452, 2, 1, "", "suffixes"], [452, 2, 1, "", "whitelist"]], "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel": [[452, 2, 1, "", "inputAnnotatorTypes"], [452, 2, 1, "", "name"], [452, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.token.regex_tokenizer": [[453, 1, 1, "", "RegexTokenizer"]], "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer": [[453, 2, 1, "", "inputAnnotatorTypes"], [453, 2, 1, "", "maxLength"], [453, 2, 1, "", "minLength"], [453, 2, 1, "", "name"], [453, 2, 1, "", "outputAnnotatorType"], [453, 2, 1, "", "pattern"], [453, 2, 1, "", "positionalMask"], [453, 2, 1, "", "preservePosition"], [453, 3, 1, "", "setMaxLength"], [453, 3, 1, "", "setMinLength"], [453, 3, 1, "", "setPattern"], [453, 3, 1, "", "setPositionalMask"], [453, 3, 1, "", "setPreservePosition"], [453, 3, 1, "", "setToLowercase"], [453, 3, 1, "", "setTrimWhitespace"], [453, 2, 1, "", "toLowercase"], [453, 2, 1, "", "trimWhitespace"]], "sparknlp.annotator.token.tokenizer": [[454, 1, 1, "", "Tokenizer"], [454, 1, 1, "", "TokenizerModel"]], "sparknlp.annotator.token.tokenizer.Tokenizer": [[454, 3, 1, "", "addContextChars"], [454, 3, 1, "", "addException"], [454, 3, 1, "", "addInfixPattern"], [454, 3, 1, "", "addSplitChars"], [454, 2, 1, "", "caseSensitiveExceptions"], [454, 2, 1, "", "contextChars"], [454, 2, 1, "", "exceptions"], [454, 2, 1, "", "exceptionsPath"], [454, 3, 1, "", "getCaseSensitiveExceptions"], [454, 3, 1, "", "getContextChars"], [454, 3, 1, "", "getExceptions"], [454, 3, 1, "", "getInfixPatterns"], [454, 3, 1, "", "getPrefixPattern"], [454, 3, 1, "", "getSplitChars"], [454, 3, 1, "", "getSuffixPattern"], [454, 2, 1, "", "infixPatterns"], [454, 2, 1, "", "inputAnnotatorTypes"], [454, 2, 1, "", "maxLength"], [454, 2, 1, "", "minLength"], [454, 2, 1, "", "name"], [454, 2, 1, "", "outputAnnotatorType"], [454, 2, 1, "", "prefixPattern"], [454, 3, 1, "", "setCaseSensitiveExceptions"], [454, 3, 1, "", "setContextChars"], [454, 3, 1, "", "setExceptions"], [454, 3, 1, "", "setExceptionsPath"], [454, 3, 1, "", "setInfixPatterns"], [454, 3, 1, "", "setMaxLength"], [454, 3, 1, "", "setMinLength"], [454, 3, 1, "", "setPrefixPattern"], [454, 3, 1, "", "setSplitChars"], [454, 3, 1, "", "setSplitPattern"], [454, 3, 1, "", "setSuffixPattern"], [454, 3, 1, "", "setTargetPattern"], [454, 2, 1, "", "splitChars"], [454, 2, 1, "", "splitPattern"], [454, 2, 1, "", "suffixPattern"], [454, 2, 1, "", "targetPattern"]], "sparknlp.annotator.token.tokenizer.TokenizerModel": [[454, 3, 1, "", "addSplitChars"], [454, 2, 1, "", "caseSensitiveExceptions"], [454, 2, 1, "", "exceptions"], [454, 2, 1, "", "inputAnnotatorTypes"], [454, 2, 1, "", "name"], [454, 2, 1, "", "outputAnnotatorType"], [454, 3, 1, "", "pretrained"], [454, 2, 1, "", "rules"], [454, 3, 1, "", "setSplitChars"], [454, 3, 1, "", "setSplitPattern"], [454, 2, 1, "", "splitChars"], [454, 2, 1, "", "splitPattern"], [454, 2, 1, "", "targetPattern"]], "sparknlp.annotator.token2_chunk": [[455, 1, 1, "", "Token2Chunk"]], "sparknlp.annotator.token2_chunk.Token2Chunk": [[455, 2, 1, "", "inputAnnotatorTypes"], [455, 2, 1, "", "name"], [455, 2, 1, "", "outputAnnotatorType"]], "sparknlp.annotator.ws": [[457, 0, 0, "-", "word_segmenter"]], "sparknlp.annotator.ws.word_segmenter": [[457, 1, 1, "", "WordSegmenterApproach"], [457, 1, 1, "", "WordSegmenterModel"]], "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach": [[457, 2, 1, "", "ambiguityThreshold"], [457, 2, 1, "", "enableRegexTokenizer"], [457, 2, 1, "", "frequencyThreshold"], [457, 3, 1, "", "getAmbiguityThreshold"], [457, 3, 1, "", "getFrequencyThreshold"], [457, 3, 1, "", "getNIterations"], [457, 2, 1, "", "inputAnnotatorTypes"], [457, 2, 1, "", "nIterations"], [457, 2, 1, "", "name"], [457, 2, 1, "", "outputAnnotatorType"], [457, 2, 1, "", "pattern"], [457, 2, 1, "", "posCol"], [457, 3, 1, "", "setAmbiguityThreshold"], [457, 3, 1, "", "setEnableRegexTokenizer"], [457, 3, 1, "", "setFrequencyThreshold"], [457, 3, 1, "", "setNIterations"], [457, 3, 1, "", "setPattern"], [457, 3, 1, "", "setPosColumn"], [457, 3, 1, "", "setToLowercase"], [457, 2, 1, "", "toLowercase"]], "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel": [[457, 2, 1, "", "enableRegexTokenizer"], [457, 2, 1, "", "inputAnnotatorTypes"], [457, 2, 1, "", "name"], [457, 2, 1, "", "outputAnnotatorType"], [457, 2, 1, "", "pattern"], [457, 3, 1, "", "pretrained"], [457, 3, 1, "", "setEnableRegexTokenizer"], [457, 3, 1, "", "setPattern"], [457, 3, 1, "", "setToLowercase"], [457, 2, 1, "", "toLowercase"]], "sparknlp.base": [[458, 0, 0, "-", "audio_assembler"], [459, 0, 0, "-", "doc2_chunk"], [460, 0, 0, "-", "document_assembler"], [461, 0, 0, "-", "embeddings_finisher"], [462, 0, 0, "-", "finisher"], [463, 0, 0, "-", "gguf_ranking_finisher"], [464, 0, 0, "-", "graph_finisher"], [465, 0, 0, "-", "has_recursive_fit"], [466, 0, 0, "-", "has_recursive_transform"], [467, 0, 0, "-", "image_assembler"], [469, 0, 0, "-", "light_pipeline"], [470, 0, 0, "-", "multi_document_assembler"], [471, 0, 0, "-", "prompt_assembler"], [472, 0, 0, "-", "recursive_pipeline"], [473, 0, 0, "-", "table_assembler"], [474, 0, 0, "-", "token_assembler"]], "sparknlp.base.audio_assembler": [[458, 1, 1, "", "AudioAssembler"]], "sparknlp.base.audio_assembler.AudioAssembler": [[458, 3, 1, "", "getOutputCol"], [458, 2, 1, "", "inputCol"], [458, 2, 1, "", "name"], [458, 2, 1, "", "outputAnnotatorType"], [458, 2, 1, "", "outputCol"], [458, 3, 1, "", "setInputCol"], [458, 3, 1, "", "setOutputCol"], [458, 3, 1, "", "setParams"]], "sparknlp.base.doc2_chunk": [[459, 1, 1, "", "Doc2Chunk"]], "sparknlp.base.doc2_chunk.Doc2Chunk": [[459, 2, 1, "", "chunkCol"], [459, 2, 1, "", "failOnMissing"], [459, 2, 1, "", "inputAnnotatorTypes"], [459, 2, 1, "", "isArray"], [459, 2, 1, "", "lowerCase"], [459, 2, 1, "", "name"], [459, 2, 1, "", "outputAnnotatorType"], [459, 3, 1, "", "setChunkCol"], [459, 3, 1, "", "setFailOnMissing"], [459, 3, 1, "", "setIsArray"], [459, 3, 1, "", "setLowerCase"], [459, 3, 1, "", "setParams"], [459, 3, 1, "", "setStartCol"], [459, 3, 1, "", "setStartColByTokenIndex"], [459, 2, 1, "", "startCol"], [459, 2, 1, "", "startColByTokenIndex"]], "sparknlp.base.document_assembler": [[460, 1, 1, "", "DocumentAssembler"]], "sparknlp.base.document_assembler.DocumentAssembler": [[460, 2, 1, "", "cleanupMode"], [460, 3, 1, "", "getOutputCol"], [460, 2, 1, "", "idCol"], [460, 2, 1, "", "inputCol"], [460, 2, 1, "", "metadataCol"], [460, 2, 1, "", "name"], [460, 2, 1, "", "outputAnnotatorType"], [460, 2, 1, "", "outputCol"], [460, 3, 1, "", "setCleanupMode"], [460, 3, 1, "", "setIdCol"], [460, 3, 1, "", "setInputCol"], [460, 3, 1, "", "setMetadataCol"], [460, 3, 1, "", "setOutputCol"], [460, 3, 1, "", "setParams"]], "sparknlp.base.embeddings_finisher": [[461, 1, 1, "", "EmbeddingsFinisher"]], "sparknlp.base.embeddings_finisher.EmbeddingsFinisher": [[461, 2, 1, "", "cleanAnnotations"], [461, 3, 1, "", "getInputCols"], [461, 3, 1, "", "getOutputCols"], [461, 2, 1, "", "inputCols"], [461, 2, 1, "", "name"], [461, 2, 1, "", "outputAsVector"], [461, 2, 1, "", "outputCols"], [461, 3, 1, "", "setCleanAnnotations"], [461, 3, 1, "", "setInputCols"], [461, 3, 1, "", "setOutputAsVector"], [461, 3, 1, "", "setOutputCols"], [461, 3, 1, "", "setParams"]], "sparknlp.base.finisher": [[462, 1, 1, "", "Finisher"]], "sparknlp.base.finisher.Finisher": [[462, 2, 1, "", "annotationSplitSymbol"], [462, 2, 1, "", "cleanAnnotations"], [462, 3, 1, "", "getInputCols"], [462, 3, 1, "", "getOutputCols"], [462, 2, 1, "", "includeMetadata"], [462, 2, 1, "", "inputCols"], [462, 2, 1, "", "name"], [462, 2, 1, "", "outputAsArray"], [462, 2, 1, "", "outputCols"], [462, 2, 1, "", "parseEmbeddingsVectors"], [462, 3, 1, "", "setAnnotationSplitSymbol"], [462, 3, 1, "", "setCleanAnnotations"], [462, 3, 1, "", "setIncludeMetadata"], [462, 3, 1, "", "setInputCols"], [462, 3, 1, "", "setOutputAsArray"], [462, 3, 1, "", "setOutputCols"], [462, 3, 1, "", "setParams"], [462, 3, 1, "", "setParseEmbeddingsVectors"], [462, 3, 1, "", "setValueSplitSymbol"], [462, 2, 1, "", "valueSplitSymbol"]], "sparknlp.base.gguf_ranking_finisher": [[463, 1, 1, "", "GGUFRankingFinisher"]], "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher": [[463, 3, 1, "", "getInputCols"], [463, 3, 1, "", "getMinMaxScaling"], [463, 3, 1, "", "getMinRelevanceScore"], [463, 3, 1, "", "getOutputCol"], [463, 3, 1, "", "getTopK"], [463, 2, 1, "", "inputCols"], [463, 2, 1, "", "minMaxScaling"], [463, 2, 1, "", "minRelevanceScore"], [463, 2, 1, "", "name"], [463, 2, 1, "", "outputCol"], [463, 3, 1, "", "setInputCols"], [463, 3, 1, "", "setMinMaxScaling"], [463, 3, 1, "", "setMinRelevanceScore"], [463, 3, 1, "", "setOutputCol"], [463, 3, 1, "", "setParams"], [463, 3, 1, "", "setTopK"], [463, 2, 1, "", "topK"]], "sparknlp.base.graph_finisher": [[464, 1, 1, "", "GraphFinisher"]], "sparknlp.base.graph_finisher.GraphFinisher": [[464, 2, 1, "", "cleanAnnotations"], [464, 2, 1, "", "inputCol"], [464, 2, 1, "", "name"], [464, 2, 1, "", "outputAsArray"], [464, 2, 1, "", "outputCol"], [464, 3, 1, "", "setCleanAnnotations"], [464, 3, 1, "", "setInputCol"], [464, 3, 1, "", "setOutputAsArray"], [464, 3, 1, "", "setOutputCol"], [464, 3, 1, "", "setParams"]], "sparknlp.base.has_recursive_fit": [[465, 1, 1, "", "HasRecursiveFit"]], "sparknlp.base.has_recursive_transform": [[466, 1, 1, "", "HasRecursiveTransform"]], "sparknlp.base.image_assembler": [[467, 1, 1, "", "ImageAssembler"]], "sparknlp.base.image_assembler.ImageAssembler": [[467, 3, 1, "", "getOutputCol"], [467, 2, 1, "", "inputCol"], [467, 3, 1, "", "loadImagesAsBytes"], [467, 2, 1, "", "name"], [467, 2, 1, "", "outputAnnotatorType"], [467, 2, 1, "", "outputCol"], [467, 3, 1, "", "setInputCol"], [467, 3, 1, "", "setOutputCol"], [467, 3, 1, "", "setParams"], [467, 3, 1, "", "setTextCol"], [467, 2, 1, "", "textCol"]], "sparknlp.base.light_pipeline": [[469, 1, 1, "", "LightPipeline"]], "sparknlp.base.light_pipeline.LightPipeline": [[469, 3, 1, "", "annotate"], [469, 3, 1, "", "fullAnnotate"], [469, 3, 1, "", "fullAnnotateImage"], [469, 3, 1, "", "getIgnoreUnsupported"], [469, 2, 1, "", "parse_embeddings"], [469, 2, 1, "", "pipeline_model"], [469, 3, 1, "", "setIgnoreUnsupported"], [469, 3, 1, "", "transform"]], "sparknlp.base.multi_document_assembler": [[470, 1, 1, "", "MultiDocumentAssembler"]], "sparknlp.base.multi_document_assembler.MultiDocumentAssembler": [[470, 2, 1, "", "cleanupMode"], [470, 3, 1, "", "getOutputCols"], [470, 2, 1, "", "idCol"], [470, 2, 1, "", "inputCols"], [470, 2, 1, "", "metadataCol"], [470, 2, 1, "", "name"], [470, 2, 1, "", "outputAnnotatorType"], [470, 2, 1, "", "outputCols"], [470, 3, 1, "", "setCleanupMode"], [470, 3, 1, "", "setIdCol"], [470, 3, 1, "", "setInputCols"], [470, 3, 1, "", "setMetadataCol"], [470, 3, 1, "", "setOutputCols"], [470, 3, 1, "", "setParams"]], "sparknlp.base.prompt_assembler": [[471, 1, 1, "", "PromptAssembler"]], "sparknlp.base.prompt_assembler.PromptAssembler": [[471, 2, 1, "", "addAssistant"], [471, 2, 1, "", "chatTemplate"], [471, 2, 1, "", "inputCol"], [471, 2, 1, "", "name"], [471, 2, 1, "", "outputAnnotatorType"], [471, 2, 1, "", "outputCol"], [471, 3, 1, "", "setAddAssistant"], [471, 3, 1, "", "setChatTemplate"], [471, 3, 1, "", "setInputCol"], [471, 3, 1, "", "setOutputCol"], [471, 3, 1, "", "setParams"]], "sparknlp.base.recursive_pipeline": [[472, 1, 1, "", "RecursivePipeline"], [472, 1, 1, "", "RecursivePipelineModel"]], "sparknlp.base.recursive_pipeline.RecursivePipelineModel": [[472, 2, 1, "", "stages"]], "sparknlp.base.table_assembler": [[473, 1, 1, "", "TableAssembler"]], "sparknlp.base.table_assembler.TableAssembler": [[473, 2, 1, "", "csvDelimiter"], [473, 2, 1, "", "escapeCsvDelimiter"], [473, 2, 1, "", "inputAnnotatorTypes"], [473, 2, 1, "", "inputFormat"], [473, 2, 1, "", "name"], [473, 2, 1, "", "outputAnnotatorType"], [473, 3, 1, "", "setCsvDelimiter"], [473, 3, 1, "", "setEscapeCsvDelimiter"], [473, 3, 1, "", "setInputFormat"]], "sparknlp.base.token_assembler": [[474, 1, 1, "", "TokenAssembler"]], "sparknlp.base.token_assembler.TokenAssembler": [[474, 2, 1, "", "inputAnnotatorTypes"], [474, 2, 1, "", "name"], [474, 2, 1, "", "outputAnnotatorType"], [474, 2, 1, "", "preservePosition"], [474, 3, 1, "", "setParams"], [474, 3, 1, "", "setPreservePosition"]], "sparknlp.common": [[475, 0, 0, "-", "annotator_approach"], [476, 0, 0, "-", "annotator_model"], [477, 0, 0, "-", "annotator_properties"], [478, 0, 0, "-", "annotator_type"], [479, 0, 0, "-", "completion_post_processing"], [480, 0, 0, "-", "coverage_result"], [482, 0, 0, "-", "match_strategy"], [483, 0, 0, "-", "properties"], [484, 0, 0, "-", "read_as"], [485, 0, 0, "-", "recursive_annotator_approach"], [486, 0, 0, "-", "storage"], [487, 0, 0, "-", "utils"]], "sparknlp.common.annotator_approach": [[475, 1, 1, "", "AnnotatorApproach"]], "sparknlp.common.annotator_model": [[476, 1, 1, "", "AnnotatorModel"]], "sparknlp.common.annotator_model.AnnotatorModel": [[476, 3, 1, "", "setParams"]], "sparknlp.common.annotator_properties": [[477, 1, 1, "", "AnnotatorProperties"]], "sparknlp.common.annotator_properties.AnnotatorProperties": [[477, 3, 1, "", "getInputCols"], [477, 3, 1, "", "getLazyAnnotator"], [477, 3, 1, "", "getOutputCol"], [477, 2, 1, "", "inputAnnotatorTypes"], [477, 2, 1, "", "inputCols"], [477, 3, 1, "", "inputColsValidation"], [477, 2, 1, "", "lazyAnnotator"], [477, 2, 1, "", "optionalInputAnnotatorTypes"], [477, 2, 1, "", "outputAnnotatorType"], [477, 2, 1, "", "outputCol"], [477, 3, 1, "", "setInputCols"], [477, 3, 1, "", "setLazyAnnotator"], [477, 3, 1, "", "setOutputCol"]], "sparknlp.common.annotator_type": [[478, 1, 1, "", "AnnotatorType"]], "sparknlp.common.annotator_type.AnnotatorType": [[478, 2, 1, "", "AUDIO"], [478, 2, 1, "", "CATEGORY"], [478, 2, 1, "", "CHUNK"], [478, 2, 1, "", "DATE"], [478, 2, 1, "", "DEPENDENCY"], [478, 2, 1, "", "DOCUMENT"], [478, 2, 1, "", "DOC_SIMILARITY_RANKINGS"], [478, 2, 1, "", "DUMMY"], [478, 2, 1, "", "ENTITY"], [478, 2, 1, "", "IMAGE"], [478, 2, 1, "", "LABELED_DEPENDENCY"], [478, 2, 1, "", "LANGUAGE"], [478, 2, 1, "", "NAMED_ENTITY"], [478, 2, 1, "", "NEGEX"], [478, 2, 1, "", "NODE"], [478, 2, 1, "", "POS"], [478, 2, 1, "", "SENTENCE_EMBEDDINGS"], [478, 2, 1, "", "SENTIMENT"], [478, 2, 1, "", "TABLE"], [478, 2, 1, "", "TOKEN"], [478, 2, 1, "", "WORDPIECE"], [478, 2, 1, "", "WORD_EMBEDDINGS"]], "sparknlp.common.completion_post_processing": [[479, 1, 1, "", "CompletionPostProcessing"]], "sparknlp.common.completion_post_processing.CompletionPostProcessing": [[479, 3, 1, "", "getRemoveThinkingTag"], [479, 2, 1, "", "removeThinkingTag"], [479, 3, 1, "", "setRemoveThinkingTag"]], "sparknlp.common.coverage_result": [[480, 1, 1, "", "CoverageResult"]], "sparknlp.common.coverage_result.CoverageResult": [[480, 2, 1, "", "covered"], [480, 2, 1, "", "percentage"], [480, 2, 1, "", "total"]], "sparknlp.common.match_strategy": [[482, 1, 1, "", "MatchStrategy"]], "sparknlp.common.match_strategy.MatchStrategy": [[482, 2, 1, "", "MATCH_ALL"], [482, 2, 1, "", "MATCH_COMPLETE"], [482, 2, 1, "", "MATCH_FIRST"]], "sparknlp.common.properties": [[483, 1, 1, "", "HasAudioFeatureProperties"], [483, 1, 1, "", "HasBatchedAnnotate"], [483, 1, 1, "", "HasBatchedAnnotateAudio"], [483, 1, 1, "", "HasBatchedAnnotateImage"], [483, 1, 1, "", "HasCandidateLabelsProperties"], [483, 1, 1, "", "HasCaseSensitiveProperties"], [483, 1, 1, "", "HasClassifierActivationProperties"], [483, 1, 1, "", "HasClsTokenProperties"], [483, 1, 1, "", "HasEmbeddingsProperties"], [483, 1, 1, "", "HasEnableCachingProperties"], [483, 1, 1, "", "HasEngine"], [483, 1, 1, "", "HasGeneratorProperties"], [483, 1, 1, "", "HasImageFeatureProperties"], [483, 1, 1, "", "HasLlamaCppProperties"], [483, 1, 1, "", "HasLongMaxSentenceLengthLimit"], [483, 1, 1, "", "HasMaxSentenceLengthLimit"], [483, 1, 1, "", "HasRescaleFactor"]], "sparknlp.common.properties.HasAudioFeatureProperties": [[483, 2, 1, "", "doNormalize"], [483, 2, 1, "", "featureSize"], [483, 2, 1, "", "paddingSide"], [483, 2, 1, "", "paddingValue"], [483, 2, 1, "", "returnAttentionMask"], [483, 2, 1, "", "samplingRate"], [483, 3, 1, "", "setDoNormalize"], [483, 3, 1, "", "setFeatureSize"], [483, 3, 1, "", "setPaddingSide"], [483, 3, 1, "", "setPaddingValue"], [483, 3, 1, "", "setReturnAttentionMask"], [483, 3, 1, "", "setSamplingRate"]], "sparknlp.common.properties.HasBatchedAnnotate": [[483, 2, 1, "", "batchSize"], [483, 3, 1, "", "getBatchSize"], [483, 3, 1, "", "setBatchSize"]], "sparknlp.common.properties.HasBatchedAnnotateAudio": [[483, 2, 1, "", "batchSize"], [483, 3, 1, "", "getBatchSize"], [483, 3, 1, "", "setBatchSize"]], "sparknlp.common.properties.HasBatchedAnnotateImage": [[483, 2, 1, "", "batchSize"], [483, 3, 1, "", "getBatchSize"], [483, 3, 1, "", "setBatchSize"]], "sparknlp.common.properties.HasCandidateLabelsProperties": [[483, 2, 1, "", "candidateLabels"], [483, 2, 1, "", "contradictionIdParam"], [483, 2, 1, "", "entailmentIdParam"], [483, 3, 1, "", "setCandidateLabels"], [483, 3, 1, "", "setContradictionIdParam"], [483, 3, 1, "", "setEntailmentIdParam"]], "sparknlp.common.properties.HasCaseSensitiveProperties": [[483, 2, 1, "", "caseSensitive"], [483, 3, 1, "", "getCaseSensitive"], [483, 3, 1, "", "setCaseSensitive"]], "sparknlp.common.properties.HasClassifierActivationProperties": [[483, 2, 1, "", "activation"], [483, 3, 1, "", "getActivation"], [483, 3, 1, "", "getMultilabel"], [483, 2, 1, "", "multilabel"], [483, 3, 1, "", "setActivation"], [483, 3, 1, "", "setMultilabel"], [483, 3, 1, "", "setThreshold"], [483, 2, 1, "", "threshold"]], "sparknlp.common.properties.HasClsTokenProperties": [[483, 3, 1, "", "getUseCLSToken"], [483, 3, 1, "", "setUseCLSToken"], [483, 2, 1, "", "useCLSToken"]], "sparknlp.common.properties.HasEmbeddingsProperties": [[483, 2, 1, "", "dimension"], [483, 3, 1, "", "getDimension"], [483, 3, 1, "", "setDimension"]], "sparknlp.common.properties.HasEnableCachingProperties": [[483, 2, 1, "", "enableCaching"], [483, 3, 1, "", "getEnableCaching"], [483, 3, 1, "", "setEnableCaching"]], "sparknlp.common.properties.HasEngine": [[483, 2, 1, "", "engine"], [483, 3, 1, "", "getEngine"]], "sparknlp.common.properties.HasGeneratorProperties": [[483, 2, 1, "", "beamSize"], [483, 2, 1, "", "doSample"], [483, 2, 1, "", "maxOutputLength"], [483, 2, 1, "", "minOutputLength"], [483, 2, 1, "", "nReturnSequences"], [483, 2, 1, "", "noRepeatNgramSize"], [483, 2, 1, "", "repetitionPenalty"], [483, 3, 1, "", "setBeamSize"], [483, 3, 1, "", "setDoSample"], [483, 3, 1, "", "setMaxOutputLength"], [483, 3, 1, "", "setMinOutputLength"], [483, 3, 1, "", "setNReturnSequences"], [483, 3, 1, "", "setNoRepeatNgramSize"], [483, 3, 1, "", "setRepetitionPenalty"], [483, 3, 1, "", "setTask"], [483, 3, 1, "", "setTemperature"], [483, 3, 1, "", "setTopK"], [483, 3, 1, "", "setTopP"], [483, 2, 1, "", "task"], [483, 2, 1, "", "temperature"], [483, 2, 1, "", "topK"], [483, 2, 1, "", "topP"]], "sparknlp.common.properties.HasImageFeatureProperties": [[483, 2, 1, "", "doNormalize"], [483, 2, 1, "", "doResize"], [483, 2, 1, "", "featureExtractorType"], [483, 2, 1, "", "imageMean"], [483, 2, 1, "", "imageStd"], [483, 2, 1, "", "resample"], [483, 3, 1, "", "setDoNormalize"], [483, 3, 1, "", "setDoResize"], [483, 3, 1, "", "setFeatureExtractorType"], [483, 3, 1, "", "setImageMean"], [483, 3, 1, "", "setImageStd"], [483, 3, 1, "", "setResample"], [483, 3, 1, "", "setSize"], [483, 2, 1, "", "size"]], "sparknlp.common.properties.HasLlamaCppProperties": [[483, 2, 1, "", "cachePrompt"], [483, 2, 1, "", "chatTemplate"], [483, 2, 1, "", "defragmentationThreshold"], [483, 2, 1, "", "disableLog"], [483, 2, 1, "", "disableTokenIds"], [483, 2, 1, "", "dynamicTemperatureExponent"], [483, 2, 1, "", "dynamicTemperatureRange"], [483, 2, 1, "", "embedding"], [483, 2, 1, "", "flashAttention"], [483, 2, 1, "", "frequencyPenalty"], [483, 3, 1, "", "getMetadata"], [483, 2, 1, "", "gpuSplitMode"], [483, 2, 1, "", "grammar"], [483, 2, 1, "", "ignoreEos"], [483, 2, 1, "", "inputPrefix"], [483, 2, 1, "", "inputSuffix"], [483, 2, 1, "", "logVerbosity"], [483, 2, 1, "", "mainGpu"], [483, 2, 1, "", "minKeep"], [483, 2, 1, "", "minP"], [483, 2, 1, "", "miroStat"], [483, 2, 1, "", "miroStatEta"], [483, 2, 1, "", "miroStatTau"], [483, 2, 1, "", "modelAlias"], [483, 2, 1, "", "modelDraft"], [483, 2, 1, "", "nBatch"], [483, 2, 1, "", "nCtx"], [483, 2, 1, "", "nDraft"], [483, 2, 1, "", "nGpuLayers"], [483, 2, 1, "", "nGpuLayersDraft"], [483, 2, 1, "", "nKeep"], [483, 2, 1, "", "nPredict"], [483, 2, 1, "", "nProbs"], [483, 2, 1, "", "nThreads"], [483, 2, 1, "", "nThreadsBatch"], [483, 2, 1, "", "nUbatch"], [483, 2, 1, "", "noKvOffload"], [483, 2, 1, "", "numaStrategy"], [483, 2, 1, "", "penalizeNl"], [483, 2, 1, "", "penaltyPrompt"], [483, 2, 1, "", "poolingType"], [483, 2, 1, "", "presencePenalty"], [483, 2, 1, "", "repeatLastN"], [483, 2, 1, "", "repeatPenalty"], [483, 2, 1, "", "ropeFreqBase"], [483, 2, 1, "", "ropeFreqScale"], [483, 2, 1, "", "ropeScalingType"], [483, 2, 1, "", "samplers"], [483, 2, 1, "", "seed"], [483, 3, 1, "", "setCachePrompt"], [483, 3, 1, "", "setChatTemplate"], [483, 3, 1, "", "setDefragmentationThreshold"], [483, 3, 1, "", "setDisableLog"], [483, 3, 1, "", "setDisableTokenIds"], [483, 3, 1, "", "setDynamicTemperatureExponent"], [483, 3, 1, "", "setDynamicTemperatureRange"], [483, 3, 1, "", "setFlashAttention"], [483, 3, 1, "", "setFrequencyPenalty"], [483, 3, 1, "", "setGpuSplitMode"], [483, 3, 1, "", "setGrammar"], [483, 3, 1, "", "setIgnoreEos"], [483, 3, 1, "", "setInputPrefix"], [483, 3, 1, "", "setInputSuffix"], [483, 3, 1, "", "setLogVerbosity"], [483, 3, 1, "", "setMainGpu"], [483, 3, 1, "", "setMinKeep"], [483, 3, 1, "", "setMinP"], [483, 3, 1, "", "setMiroStat"], [483, 3, 1, "", "setMiroStatEta"], [483, 3, 1, "", "setMiroStatTau"], [483, 3, 1, "", "setModelAlias"], [483, 3, 1, "", "setModelDraft"], [483, 3, 1, "", "setNBatch"], [483, 3, 1, "", "setNCtx"], [483, 3, 1, "", "setNDraft"], [483, 3, 1, "", "setNGpuLayers"], [483, 3, 1, "", "setNGpuLayersDraft"], [483, 3, 1, "", "setNKeep"], [483, 3, 1, "", "setNParallel"], [483, 3, 1, "", "setNPredict"], [483, 3, 1, "", "setNProbs"], [483, 3, 1, "", "setNThreads"], [483, 3, 1, "", "setNThreadsBatch"], [483, 3, 1, "", "setNUbatch"], [483, 3, 1, "", "setNoKvOffload"], [483, 3, 1, "", "setNumaStrategy"], [483, 3, 1, "", "setPenalizeNl"], [483, 3, 1, "", "setPenaltyPrompt"], [483, 3, 1, "", "setPoolingType"], [483, 3, 1, "", "setPresencePenalty"], [483, 3, 1, "", "setRepeatLastN"], [483, 3, 1, "", "setRepeatPenalty"], [483, 3, 1, "", "setRopeFreqBase"], [483, 3, 1, "", "setRopeFreqScale"], [483, 3, 1, "", "setRopeScalingType"], [483, 3, 1, "", "setSamplers"], [483, 3, 1, "", "setSeed"], [483, 3, 1, "", "setStopStrings"], [483, 3, 1, "", "setSystemPrompt"], [483, 3, 1, "", "setTemperature"], [483, 3, 1, "", "setTfsZ"], [483, 3, 1, "", "setTokenBias"], [483, 3, 1, "", "setTokenIdBias"], [483, 3, 1, "", "setTopK"], [483, 3, 1, "", "setTopP"], [483, 3, 1, "", "setTypicalP"], [483, 3, 1, "", "setUseChatTemplate"], [483, 3, 1, "", "setUseMlock"], [483, 3, 1, "", "setUseMmap"], [483, 3, 1, "", "setYarnAttnFactor"], [483, 3, 1, "", "setYarnBetaFast"], [483, 3, 1, "", "setYarnBetaSlow"], [483, 3, 1, "", "setYarnExtFactor"], [483, 3, 1, "", "setYarnOrigCtx"], [483, 2, 1, "", "stopStrings"], [483, 2, 1, "", "systemPrompt"], [483, 2, 1, "", "temperature"], [483, 2, 1, "", "tfsZ"], [483, 2, 1, "", "topK"], [483, 2, 1, "", "topP"], [483, 2, 1, "", "typicalP"], [483, 2, 1, "", "useChatTemplate"], [483, 2, 1, "", "useMlock"], [483, 2, 1, "", "useMmap"], [483, 2, 1, "", "yarnAttnFactor"], [483, 2, 1, "", "yarnBetaFast"], [483, 2, 1, "", "yarnBetaSlow"], [483, 2, 1, "", "yarnExtFactor"], [483, 2, 1, "", "yarnOrigCtx"]], "sparknlp.common.properties.HasLongMaxSentenceLengthLimit": [[483, 2, 1, "", "max_length_limit"]], "sparknlp.common.properties.HasMaxSentenceLengthLimit": [[483, 3, 1, "", "getMaxSentenceLength"], [483, 2, 1, "", "maxSentenceLength"], [483, 2, 1, "", "max_length_limit"], [483, 3, 1, "", "setMaxSentenceLength"]], "sparknlp.common.properties.HasRescaleFactor": [[483, 2, 1, "", "doRescale"], [483, 2, 1, "", "rescaleFactor"], [483, 3, 1, "", "setDoRescale"], [483, 3, 1, "", "setRescaleFactor"]], "sparknlp.common.read_as": [[484, 1, 1, "", "ReadAs"]], "sparknlp.common.read_as.ReadAs": [[484, 2, 1, "", "BINARY"], [484, 2, 1, "", "SPARK"], [484, 2, 1, "", "TEXT"]], "sparknlp.common.recursive_annotator_approach": [[485, 1, 1, "", "RecursiveAnnotatorApproach"]], "sparknlp.common.storage": [[486, 1, 1, "", "HasStorage"], [486, 1, 1, "", "HasStorageModel"], [486, 1, 1, "", "HasStorageOptions"], [486, 1, 1, "", "HasStorageRef"]], "sparknlp.common.storage.HasStorage": [[486, 3, 1, "", "getStoragePath"], [486, 3, 1, "", "setStoragePath"], [486, 2, 1, "", "storagePath"]], "sparknlp.common.storage.HasStorageModel": [[486, 3, 1, "", "loadStorage"], [486, 3, 1, "", "loadStorages"], [486, 3, 1, "", "saveStorage"]], "sparknlp.common.storage.HasStorageOptions": [[486, 2, 1, "", "enableInMemoryStorage"], [486, 3, 1, "", "getEnableInMemoryStorage"], [486, 3, 1, "", "getIncludeStorage"], [486, 2, 1, "", "includeStorage"], [486, 3, 1, "", "setEnableInMemoryStorage"], [486, 3, 1, "", "setIncludeStorage"]], "sparknlp.common.storage.HasStorageRef": [[486, 3, 1, "", "getStorageRef"], [486, 3, 1, "", "setStorageRef"], [486, 2, 1, "", "storageRef"]], "sparknlp.common.utils": [[487, 5, 1, "", "ExternalResource"], [487, 5, 1, "", "RegexRule"]], "sparknlp.functions": [[488, 5, 1, "", "explode_annotations_col"], [488, 5, 1, "", "filter_by_annotations_col"], [488, 5, 1, "", "map_annotations"], [488, 5, 1, "", "map_annotations_array"], [488, 5, 1, "", "map_annotations_col"], [488, 5, 1, "", "map_annotations_cols"], [488, 5, 1, "", "map_annotations_strict"]], "sparknlp.internal": [[490, 0, 0, "-", "annotator_java_ml"], [491, 0, 0, "-", "annotator_transformer"], [492, 0, 0, "-", "extended_java_wrapper"], [494, 0, 0, "-", "params_getters_setters"], [495, 0, 0, "-", "recursive"]], "sparknlp.internal.annotator_java_ml": [[490, 1, 1, "", "AnnotatorJavaMLReadable"], [490, 1, 1, "", "AnnotatorJavaMLReader"]], "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable": [[490, 3, 1, "", "read"]], "sparknlp.internal.annotator_transformer": [[491, 1, 1, "", "AnnotatorTransformer"]], "sparknlp.internal.annotator_transformer.AnnotatorTransformer": [[491, 2, 1, "", "outputAnnotatorType"]], "sparknlp.internal.extended_java_wrapper": [[492, 1, 1, "", "ExtendedJavaWrapper"]], "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper": [[492, 3, 1, "", "apply"], [492, 3, 1, "", "getDataFrame"], [492, 2, 1, "", "java_obj"], [492, 3, 1, "", "new_java_array"], [492, 3, 1, "", "new_java_array_integer"], [492, 3, 1, "", "new_java_array_string"], [492, 3, 1, "", "new_java_obj"], [492, 2, 1, "", "sc"], [492, 3, 1, "", "spark_version"]], "sparknlp.internal.params_getters_setters": [[494, 1, 1, "", "ParamsGettersSetters"]], "sparknlp.internal.params_getters_setters.ParamsGettersSetters": [[494, 3, 1, "", "getParamValue"], [494, 2, 1, "", "getter_attrs"], [494, 3, 1, "", "setParamValue"]], "sparknlp.internal.recursive": [[495, 1, 1, "", "RecursiveEstimator"], [495, 1, 1, "", "RecursiveTransformer"]], "sparknlp.internal.recursive.RecursiveEstimator": [[495, 3, 1, "", "fit"]], "sparknlp.internal.recursive.RecursiveTransformer": [[495, 3, 1, "", "transform_recursive"]], "sparknlp.logging": [[496, 0, 0, "-", "comet"]], "sparknlp.logging.comet": [[496, 1, 1, "", "CometLogger"], [496, 4, 1, "", "comet_ml"]], "sparknlp.logging.comet.CometLogger": [[496, 2, 1, "", "comet_mode"], [496, 3, 1, "", "end"], [496, 2, 1, "", "experiment"], [496, 2, 1, "", "experiment_id"], [496, 2, 1, "", "experiment_kwargs"], [496, 3, 1, "", "log_asset"], [496, 3, 1, "", "log_asset_data"], [496, 3, 1, "", "log_completed_run"], [496, 3, 1, "", "log_metrics"], [496, 3, 1, "", "log_parameters"], [496, 3, 1, "", "log_pipeline_parameters"], [496, 3, 1, "", "log_visualization"], [496, 3, 1, "", "monitor"], [496, 2, 1, "", "project_name"], [496, 2, 1, "", "thread"], [496, 2, 1, "", "workspace"]], "sparknlp.partition": [[499, 0, 0, "-", "partition"], [500, 0, 0, "-", "partition_properties"], [501, 0, 0, "-", "partition_transformer"]], "sparknlp.partition.partition": [[499, 1, 1, "", "Partition"]], "sparknlp.partition.partition.Partition": [[499, 3, 1, "", "partition"], [499, 3, 1, "", "partition_text"], [499, 3, 1, "", "partition_urls"], [499, 2, 1, "", "spark"]], "sparknlp.partition.partition_properties": [[500, 1, 1, "", "HasChunkerProperties"], [500, 1, 1, "", "HasEmailReaderProperties"], [500, 1, 1, "", "HasExcelReaderProperties"], [500, 1, 1, "", "HasHTMLReaderProperties"], [500, 1, 1, "", "HasPdfProperties"], [500, 1, 1, "", "HasPowerPointProperties"], [500, 1, 1, "", "HasReaderProperties"], [500, 1, 1, "", "HasTextReaderProperties"]], "sparknlp.partition.partition_properties.HasChunkerProperties": [[500, 2, 1, "", "chunkingStrategy"], [500, 2, 1, "", "combineTextUnderNChars"], [500, 2, 1, "", "maxCharacters"], [500, 2, 1, "", "newAfterNChars"], [500, 2, 1, "", "overlap"], [500, 2, 1, "", "overlapAll"], [500, 3, 1, "", "setChunkingStrategy"], [500, 3, 1, "", "setCombineTextUnderNChars"], [500, 3, 1, "", "setMaxCharacters"], [500, 3, 1, "", "setNewAfterNChars"], [500, 3, 1, "", "setOverlap"], [500, 3, 1, "", "setOverlapAll"]], "sparknlp.partition.partition_properties.HasEmailReaderProperties": [[500, 2, 1, "", "addAttachmentContent"], [500, 3, 1, "", "getAddAttachmentContent"], [500, 3, 1, "", "setAddAttachmentContent"]], "sparknlp.partition.partition_properties.HasExcelReaderProperties": [[500, 2, 1, "", "appendCells"], [500, 2, 1, "", "cellSeparator"], [500, 3, 1, "", "getAppendCells"], [500, 3, 1, "", "getCellSeparator"], [500, 3, 1, "", "setAppendCells"], [500, 3, 1, "", "setCellSeparator"]], "sparknlp.partition.partition_properties.HasHTMLReaderProperties": [[500, 3, 1, "", "getTimeout"], [500, 2, 1, "", "outputFormat"], [500, 3, 1, "", "setHeaders"], [500, 3, 1, "", "setOutputFormat"], [500, 3, 1, "", "setTimeout"], [500, 2, 1, "", "timeout"]], "sparknlp.partition.partition_properties.HasPdfProperties": [[500, 2, 1, "", "extractCoordinates"], [500, 2, 1, "", "normalizeLigatures"], [500, 2, 1, "", "onlyPageNum"], [500, 2, 1, "", "originCol"], [500, 2, 1, "", "pageNumCol"], [500, 2, 1, "", "partitionNum"], [500, 2, 1, "", "readAsImage"], [500, 3, 1, "", "setExtractCoordinates"], [500, 3, 1, "", "setNormalizeLigatures"], [500, 3, 1, "", "setOnlyPageNum"], [500, 3, 1, "", "setOriginCol"], [500, 3, 1, "", "setPageNumCol"], [500, 3, 1, "", "setPartitionNum"], [500, 3, 1, "", "setReadAsImage"], [500, 3, 1, "", "setSort"], [500, 3, 1, "", "setSplitPage"], [500, 3, 1, "", "setStoreSplittedPdf"], [500, 3, 1, "", "setTextStripper"], [500, 2, 1, "", "sort"], [500, 2, 1, "", "splitPage"], [500, 2, 1, "", "storeSplittedPdf"], [500, 2, 1, "", "textStripper"]], "sparknlp.partition.partition_properties.HasPowerPointProperties": [[500, 3, 1, "", "getIncludeSlideNotes"], [500, 2, 1, "", "includeSlideNotes"], [500, 3, 1, "", "setIncludeSlideNotes"]], "sparknlp.partition.partition_properties.HasReaderProperties": [[500, 2, 1, "", "contentPath"], [500, 2, 1, "", "contentType"], [500, 2, 1, "", "explodeDocs"], [500, 2, 1, "", "flattenOutput"], [500, 2, 1, "", "ignoreExceptions"], [500, 2, 1, "", "includePageBreaks"], [500, 2, 1, "", "inferTableStructure"], [500, 2, 1, "", "inputCol"], [500, 2, 1, "", "outputAsDocument"], [500, 2, 1, "", "outputCol"], [500, 3, 1, "", "setContentPath"], [500, 3, 1, "", "setContentType"], [500, 3, 1, "", "setExplodeDocs"], [500, 3, 1, "", "setFlattenOutput"], [500, 3, 1, "", "setIgnoreExceptions"], [500, 3, 1, "", "setIncludePageBreaks"], [500, 3, 1, "", "setInferTableStructure"], [500, 3, 1, "", "setInputCol"], [500, 3, 1, "", "setOutputAsDocument"], [500, 3, 1, "", "setOutputCol"], [500, 3, 1, "", "setStoreContent"], [500, 3, 1, "", "setTitleFontSize"], [500, 3, 1, "", "setTitleThreshold"], [500, 2, 1, "", "storeContent"], [500, 2, 1, "", "titleFontSize"], [500, 2, 1, "", "titleThreshold"]], "sparknlp.partition.partition_properties.HasTextReaderProperties": [[500, 3, 1, "", "getGroupBrokenParagraphs"], [500, 3, 1, "", "getMaxLineCount"], [500, 3, 1, "", "getParagraphSplit"], [500, 3, 1, "", "getShortLineWordThreshold"], [500, 3, 1, "", "getThreshold"], [500, 3, 1, "", "getTitleLengthSize"], [500, 2, 1, "", "groupBrokenParagraphs"], [500, 2, 1, "", "maxLineCount"], [500, 2, 1, "", "paragraphSplit"], [500, 3, 1, "", "setGroupBrokenParagraphs"], [500, 3, 1, "", "setMaxLineCount"], [500, 3, 1, "", "setParagraphSplit"], [500, 3, 1, "", "setShortLineWordThreshold"], [500, 3, 1, "", "setThreshold"], [500, 3, 1, "", "setTitleLengthSize"], [500, 2, 1, "", "shortLineWordThreshold"], [500, 2, 1, "", "threshold"], [500, 2, 1, "", "titleLengthSize"]], "sparknlp.partition.partition_transformer": [[501, 1, 1, "", "PartitionTransformer"]], "sparknlp.partition.partition_transformer.PartitionTransformer": [[501, 2, 1, "", "contentPath"], [501, 2, 1, "", "contentType"], [501, 3, 1, "", "getContentPath"], [501, 3, 1, "", "getContentType"], [501, 3, 1, "", "getIncludePageBreaks"], [501, 3, 1, "", "getInferTableStructure"], [501, 3, 1, "", "getStoreContent"], [501, 3, 1, "", "getTitleFontSize"], [501, 2, 1, "", "includePageBreaks"], [501, 2, 1, "", "inferTableStructure"], [501, 2, 1, "", "inputAnnotatorTypes"], [501, 2, 1, "", "name"], [501, 2, 1, "", "outputAnnotatorType"], [501, 3, 1, "", "setContentPath"], [501, 3, 1, "", "setContentType"], [501, 3, 1, "", "setIncludePageBreaks"], [501, 3, 1, "", "setInferTableStructure"], [501, 3, 1, "", "setStoreContent"], [501, 3, 1, "", "setTitleFontSize"], [501, 2, 1, "", "storeContent"], [501, 2, 1, "", "titleFontSize"]], "sparknlp.pretrained": [[503, 0, 0, "-", "pretrained_pipeline"], [504, 0, 0, "-", "resource_downloader"], [505, 0, 0, "-", "utils"]], "sparknlp.pretrained.pretrained_pipeline": [[503, 1, 1, "", "PretrainedPipeline"]], "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline": [[503, 3, 1, "", "annotate"], [503, 3, 1, "", "from_disk"], [503, 3, 1, "", "fullAnnotate"], [503, 3, 1, "", "fullAnnotateImage"], [503, 2, 1, "", "light_model"], [503, 3, 1, "", "transform"]], "sparknlp.pretrained.resource_downloader": [[504, 1, 1, "", "ResourceDownloader"]], "sparknlp.pretrained.resource_downloader.ResourceDownloader": [[504, 3, 1, "", "clearCache"], [504, 3, 1, "", "downloadModel"], [504, 3, 1, "", "downloadModelDirectly"], [504, 3, 1, "", "downloadPipeline"], [504, 3, 1, "", "showAvailableAnnotators"], [504, 3, 1, "", "showPublicModels"], [504, 3, 1, "", "showPublicPipelines"], [504, 3, 1, "", "showUnCategorizedResources"]], "sparknlp.pretrained.utils": [[505, 5, 1, "", "printProgress"]], "sparknlp.reader": [[506, 0, 0, "-", "enums"], [508, 0, 0, "-", "pdf_to_text"], [509, 0, 0, "-", "reader2doc"], [510, 0, 0, "-", "reader2image"], [511, 0, 0, "-", "reader2table"], [512, 0, 0, "-", "reader_assembler"], [513, 0, 0, "-", "sparknlp_reader"]], "sparknlp.reader.enums": [[506, 1, 1, "", "TextStripperType"]], "sparknlp.reader.enums.TextStripperType": [[506, 2, 1, "", "PDF_LAYOUT_TEXT_STRIPPER"], [506, 2, 1, "", "PDF_TEXT_STRIPPER"]], "sparknlp.reader.pdf_to_text": [[508, 1, 1, "", "PdfToText"]], "sparknlp.reader.pdf_to_text.PdfToText": [[508, 2, 1, "", "extractCoordinates"], [508, 2, 1, "", "normalizeLigatures"], [508, 2, 1, "", "onlyPageNum"], [508, 2, 1, "", "pageNumCol"], [508, 2, 1, "", "partitionNum"], [508, 3, 1, "", "setExtractCoordinates"], [508, 3, 1, "", "setInputCol"], [508, 3, 1, "", "setNormalizeLigatures"], [508, 3, 1, "", "setOnlyPageNum"], [508, 3, 1, "", "setOutputCol"], [508, 3, 1, "", "setPageNumCol"], [508, 3, 1, "", "setPartitionNum"], [508, 3, 1, "", "setSort"], [508, 3, 1, "", "setSplitPage"], [508, 3, 1, "", "setStoreSplittedPdf"], [508, 3, 1, "", "setTextStripper"], [508, 2, 1, "", "sort"], [508, 2, 1, "", "splitPage"], [508, 2, 1, "", "storeSplittedPdf"], [508, 2, 1, "", "textStripper"]], "sparknlp.reader.reader2doc": [[509, 1, 1, "", "Reader2Doc"]], "sparknlp.reader.reader2doc.Reader2Doc": [[509, 2, 1, "", "excludeNonText"], [509, 2, 1, "", "name"], [509, 2, 1, "", "outputAnnotatorType"], [509, 3, 1, "", "setExcludeNonText"], [509, 3, 1, "", "setParams"]], "sparknlp.reader.reader2image": [[510, 1, 1, "", "Reader2Image"]], "sparknlp.reader.reader2image.Reader2Image": [[510, 2, 1, "", "customPromptTemplate"], [510, 2, 1, "", "name"], [510, 2, 1, "", "outputAnnotatorType"], [510, 2, 1, "", "promptTemplate"], [510, 3, 1, "", "setCustomPromptTemplate"], [510, 3, 1, "", "setParams"], [510, 3, 1, "", "setPromptTemplate"], [510, 3, 1, "", "setUserMessage"], [510, 2, 1, "", "userMessage"]], "sparknlp.reader.reader2table": [[511, 1, 1, "", "Reader2Table"]], "sparknlp.reader.reader2table.Reader2Table": [[511, 2, 1, "", "name"], [511, 2, 1, "", "outputAnnotatorType"], [511, 3, 1, "", "setParams"]], "sparknlp.reader.reader_assembler": [[512, 1, 1, "", "ReaderAssembler"]], "sparknlp.reader.reader_assembler.ReaderAssembler": [[512, 2, 1, "", "customPromptTemplate"], [512, 2, 1, "", "excludeNonText"], [512, 2, 1, "", "name"], [512, 2, 1, "", "outputAnnotatorType"], [512, 2, 1, "", "promptTemplate"], [512, 3, 1, "", "setCustomPromptTemplate"], [512, 3, 1, "", "setExcludeNonText"], [512, 3, 1, "", "setParams"], [512, 3, 1, "", "setPromptTemplate"], [512, 3, 1, "", "setUserMessage"], [512, 2, 1, "", "userMessage"]], "sparknlp.reader.sparknlp_reader": [[513, 1, 1, "", "SparkNLPReader"]], "sparknlp.reader.sparknlp_reader.SparkNLPReader": [[513, 3, 1, "", "csv"], [513, 3, 1, "", "doc"], [513, 3, 1, "", "email"], [513, 3, 1, "", "html"], [513, 3, 1, "", "md"], [513, 3, 1, "", "pdf"], [513, 3, 1, "", "ppt"], [513, 2, 1, "", "spark"], [513, 3, 1, "", "txt"], [513, 3, 1, "", "xls"], [513, 3, 1, "", "xml"]], "sparknlp.training": [[514, 0, 0, "-", "conll"], [515, 0, 0, "-", "conllu"], [517, 0, 0, "-", "pos"], [518, 0, 0, "-", "pub_tator"], [519, 0, 0, "-", "spacy_to_annotation"], [520, 0, 0, "-", "tfgraphs"]], "sparknlp.training.conll": [[514, 1, 1, "", "CoNLL"]], "sparknlp.training.conll.CoNLL": [[514, 3, 1, "", "readDataset"]], "sparknlp.training.conllu": [[515, 1, 1, "", "CoNLLU"]], "sparknlp.training.conllu.CoNLLU": [[515, 3, 1, "", "readDataset"]], "sparknlp.training.pos": [[517, 1, 1, "", "POS"]], "sparknlp.training.pos.POS": [[517, 3, 1, "", "readDataset"]], "sparknlp.training.pub_tator": [[518, 1, 1, "", "PubTator"]], "sparknlp.training.pub_tator.PubTator": [[518, 3, 1, "", "readDataset"]], "sparknlp.training.spacy_to_annotation": [[519, 1, 1, "", "SpacyToAnnotation"]], "sparknlp.training.spacy_to_annotation.SpacyToAnnotation": [[519, 3, 1, "", "readJsonFile"]], "sparknlp.training.tfgraphs": [[520, 4, 1, "", "tf_graph"], [520, 4, 1, "", "tf_graph_1x"]], "sparknlp.upload_to_hub": [[521, 1, 1, "", "PushToHub"]], "sparknlp.upload_to_hub.PushToHub": [[521, 3, 1, "", "check_for_required_info"], [521, 3, 1, "", "create_docs"], [521, 2, 1, "", "list_of_tasks"], [521, 3, 1, "", "push_to_hub"], [521, 3, 1, "", "unzip_directory"], [521, 3, 1, "", "zip_directory"]], "sparknlp.util": [[522, 1, 1, "", "CoNLLGenerator"], [522, 1, 1, "", "EmbeddingsDataFrameUtils"], [522, 5, 1, "", "get_config_path"]], "sparknlp.util.CoNLLGenerator": [[522, 3, 1, "", "exportConllFiles"]], "sparknlp.util.EmbeddingsDataFrameUtils": [[522, 2, 1, "", "emptyImageRow"], [522, 2, 1, "", "imageSchema"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:attribute", "3": "py:method", "4": "py:data", "5": "py:function"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "attribute", "Python attribute"], "3": ["py", "method", "Python method"], "4": ["py", "data", "Python data"], "5": ["py", "function", "Python function"]}, "titleterms": {"sparknlp": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522], "packag": [1, 5, 6, 12, 59, 62, 64, 83, 90, 121, 124, 126, 129, 136, 145, 148, 151, 153, 156, 159, 180, 182, 189, 195, 197, 214, 228, 234, 236, 240, 244, 252, 384, 489], "subpackag": [1, 5, 384, 489], "submodul": [1, 5, 6, 12, 59, 62, 64, 83, 90, 121, 124, 126, 129, 136, 145, 148, 151, 153, 156, 159, 180, 182, 189, 195, 197, 214, 228, 234, 236, 240, 244, 252, 267, 297, 321, 322, 329, 344, 363, 382, 384, 385, 387, 392, 397, 406, 411, 412, 414, 417, 427, 442, 444, 451, 456, 468, 481, 489, 493, 497, 498, 502, 507, 516], "modul": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 482, 483, 484, 485, 486, 487, 488, 490, 491, 492, 494, 495, 496, 499, 500, 501, 503, 504, 505, 506, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 522, 523], "content": [1, 5, 6, 12, 59, 62, 64, 83, 90, 121, 124, 126, 129, 136, 145, 148, 151, 153, 156, 159, 180, 182, 189, 195, 197, 214, 228, 234, 236, 240, 244, 252, 262, 263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 384, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 494, 495, 496, 499, 500, 501, 503, 504, 505, 506, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 522], "annot": [2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 527, 528, 529], "annotation_audio": [3, 264], "annotation_imag": [4, 265], "audio": [6, 7, 8, 9, 266, 267, 268, 269], "hubert_for_ctc": [7, 266], "wav2vec2_for_ctc": [8, 268], "whisper_for_ctc": [9, 269], "chunk2_doc": [10, 270], "chunker": [11, 271], "classifier_dl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318], "albert_for_multiple_choic": [13, 272], "albert_for_question_answ": [14, 273], "albert_for_sequence_classif": [15, 274], "albert_for_token_classif": [16, 275], "albert_for_zero_shot_classif": [17, 276], "bart_for_zero_shot_classif": [18, 277], "bert_for_multiple_choic": [19, 278], "bert_for_question_answ": [20, 279], "bert_for_sequence_classif": [21, 280], "bert_for_token_classif": [22, 281], "bert_for_zero_shot_classif": [23, 282], "camembert_for_question_answ": [24, 283], "camembert_for_sequence_classif": [25, 284], "camembert_for_token_classif": [26, 285], "camembert_for_zero_shot_classif": [27, 286], "exampl": [27, 32, 286, 291], "deberta_for_question_answ": [29, 288], "deberta_for_sequence_classif": [30, 289], "deberta_for_token_classif": [31, 290], "deberta_for_zero_shot_classif": [32, 291], "return": [32, 70, 71, 77, 291, 330, 331, 337], "distil_bert_for_question_answ": [33, 292], "distil_bert_for_sequence_classif": [34, 293], "distil_bert_for_token_classif": [35, 294], "distil_bert_for_zero_shot_classif": [36, 295], "distilbert_for_multiple_choic": [37, 296], "longformer_for_question_answ": [38, 298], "longformer_for_sequence_classif": [39, 299], "longformer_for_token_classif": [40, 300], "mpnet_for_question_answ": [41, 301], "mpnet_for_sequence_classif": [42, 302], "mpnet_for_token_classif": [43, 303], "multi_classifier_dl": [44, 304], "roberta_for_multiple_choic": [45, 305], "roberta_for_question_answ": [46, 306], "roberta_for_sequence_classif": [47, 307], "roberta_for_token_classif": [48, 308], "roberta_for_zero_shot_classif": [49, 309], "sentiment_dl": [50, 310], "tapas_for_question_answ": [51, 311], "xlm_roberta_for_multiple_choic": [52, 312], "xlm_roberta_for_question_answ": [53, 313], "xlm_roberta_for_sequence_classif": [54, 314], "xlm_roberta_for_token_classif": [55, 315], "xlm_roberta_for_zero_shot_classif": [56, 316], "xlnet_for_sequence_classif": [57, 317], "xlnet_for_token_classif": [58, 318], "cleaner": [59, 60, 61, 319, 320, 321], "extractor": [61, 320], "coref": [62, 63, 322, 323], "spanbert_coref": [63, 323], "cv": [64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340], "blip_for_question_answ": [65, 324], "clip_for_zero_shot_classif": [66, 325], "convnext_for_image_classif": [67, 326], "florence2_transform": [68, 327], "gemma3_for_multimod": [69, 328], "internvl_for_multimod": [70, 330], "refer": [70, 71, 77, 330, 331, 337, 523], "janus_for_multimod": [71, 331], "llava_for_multimod": [72, 332], "mllama_for_multimod": [73, 333], "paligemma_for_multimod": [74, 334], "phi3_vision_for_multimod": [75, 335], "qwen2vl_transform": [76, 336], "smolvlm_transform": [77, 337], "swin_for_image_classif": [78, 338], "vision_encoder_decoder_for_image_capt": [79, 339], "vit_for_image_classif": [80, 340], "dataframe_optim": [81, 341], "date2_chunk": [82, 342], "depend": [83, 84, 85, 343, 344, 345], "dependency_pars": [84, 343], "typed_dependency_pars": [85, 345], "document_character_text_splitt": [86, 346], "document_norm": [87, 347], "document_token_splitt": [88, 348], "document_token_splitter_test": [89, 349], "embed": [90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380], "albert_embed": [91, 350], "auto_gguf_embed": [92, 351], "bert_embed": [93, 352], "bert_sentence_embed": [94, 353], "bge_embed": [95, 354], "camembert_embed": [96, 355], "chunk_embed": [97, 356], "deberta_embed": [98, 357], "distil_bert_embed": [99, 358], "doc2vec": [100, 359], "e5_embed": [101, 360], "e5v_embed": [102, 361], "elmo_embed": [103, 362], "instructor_embed": [104, 364], "longformer_embed": [105, 365], "minilm_embed": [106, 366], "mpnet_embed": [107, 367], "mxbai_embed": [108, 368], "nomic_embed": [109, 369], "roberta_embed": [110, 370], "roberta_sentence_embed": [111, 371], "sentence_embed": [112, 372], "snowflake_embed": [113, 373], "uae_embed": [114, 374], "universal_sentence_encod": [115, 375], "word2vec": [116, 376], "word_embed": [117, 377], "xlm_roberta_embed": [118, 378], "xlm_roberta_sentence_embed": [119, 379], "xlnet_embed": [120, 380], "er": [121, 122, 381, 382], "entity_rul": [122, 381], "graph_extract": [123, 383], "keyword_extract": [124, 125, 385, 386], "yake_keyword_extract": [125, 386], "ld_dl": [126, 127, 387, 388], "language_detector_dl": [127, 388], "lemmat": [128, 389], "matcher": [129, 130, 131, 132, 133, 134, 390, 391, 392, 393, 394, 395], "big_text_match": [130, 390], "date_match": [131, 391], "multi_date_match": [132, 393], "regex_match": [133, 394], "text_match": [134, 395], "n_gram_gener": [135, 396], "ner": [136, 137, 138, 139, 140, 141, 142, 143, 397, 398, 399, 400, 401, 402, 403, 404], "ner_approach": [137, 398], "ner_convert": [138, 399], "ner_crf": [139, 400], "ner_dl": [140, 401], "ner_dl_graph_check": [141, 402], "ner_overwrit": [142, 403], "zero_shot_ner_model": [143, 404], "normal": [144, 405], "openai": [145, 146, 147, 406, 407, 408], "openai_complet": [146, 407], "openai_embed": [147, 408], "param": [148, 149, 150, 409, 410, 411], "classifier_encod": [149, 409], "evaluation_dl_param": [150, 410], "po": [151, 152, 255, 412, 413, 517, 534], "perceptron": [152, 413], "sentenc": [153, 154, 155, 414, 415, 416, 529], "sentence_detector": [154, 415], "sentence_detector_dl": [155, 416], "sentiment": [156, 157, 158, 417, 418, 419], "sentiment_detector": [157, 418], "vivekn_senti": [158, 419], "seq2seq": [159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440], "auto_gguf_model": [160, 420], "auto_gguf_rerank": [161, 421], "auto_gguf_vision_model": [162, 422], "bart_transform": [163, 423], "cohere_transform": [164, 424], "cpm_transform": [165, 425], "gpt2_transform": [166, 426], "llama2_transform": [167, 428], "llama3_transform": [168, 429], "m2m100_transform": [169, 430], "marian_transform": [170, 431], "mistral_transform": [171, 432], "nllb_transform": [172, 433], "olmo_transform": [173, 434], "phi2_transform": [174, 435], "phi3_transform": [175, 436], "phi4_transform": [176, 437], "qwen_transform": [177, 438], "starcoder_transform": [178, 439], "t5_transform": [179, 440], "similar": [180, 181, 441, 442], "document_similarity_rank": [181, 441], "spell_check": [182, 183, 184, 185, 443, 444, 445, 446], "context_spell_check": [183, 443], "norvig_sweet": [184, 445], "symmetric_delet": [185, 446], "stemmer": [186, 447], "stop_words_clean": [187, 448], "tf_ner_dl_graph_build": [188, 449], "token": [189, 190, 191, 192, 193, 450, 451, 452, 453, 454, 529], "chunk_token": [190, 450], "recursive_token": [191, 452], "regex_token": [192, 453], "token2_chunk": [194, 455], "w": [195, 196, 456, 457], "word_segment": [196, 457], "base": [197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474], "audio_assembl": [198, 458], "doc2_chunk": [199, 459], "document_assembl": [200, 460], "embeddings_finish": [201, 461], "finish": [202, 462, 529], "gguf_ranking_finish": [203, 463], "graph_finish": [204, 464], "has_recursive_fit": [205, 465], "has_recursive_transform": [206, 466], "image_assembl": [207, 467], "light_pipelin": [208, 469], "multi_document_assembl": [209, 470], "prompt_assembl": [210, 471], "recursive_pipelin": [211, 472], "table_assembl": [212, 473], "token_assembl": [213, 474], "common": [214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 528], "annotator_approach": [215, 475], "annotator_model": [216, 476], "annotator_properti": [217, 477], "annotator_typ": [218, 478], "completion_post_process": [219, 479], "coverage_result": [220, 480], "match_strategi": [221, 482], "properti": [222, 483], "read_a": [223, 484], "recursive_annotator_approach": [224, 485], "storag": [225, 486], "util": [226, 243, 260, 487, 505, 522], "function": [227, 341, 487, 488, 489, 505, 522, 528, 530], "intern": [228, 229, 230, 231, 232, 233, 490, 491, 492, 493, 494, 495], "annotator_java_ml": [229, 490], "annotator_transform": [230, 491], "extended_java_wrapp": [231, 492], "params_getters_sett": [232, 494], "recurs": [233, 495], "log": [234, 235, 496, 497, 524, 526], "comet": [235, 496, 524], "partit": [236, 237, 238, 239, 498, 499, 500, 501], "partition_properti": [238, 500], "parametersf": [238, 500], "partition_transform": [239, 501], "pretrain": [240, 241, 242, 243, 502, 503, 504, 505, 528, 532, 533], "pretrained_pipelin": [241, 503], "resource_download": [242, 504], "reader": [244, 245, 246, 247, 248, 249, 250, 251, 506, 507, 508, 509, 510, 511, 512, 513], "enum": [245, 506], "pdf_to_text": [246, 508], "reader2doc": [247, 509], "reader2imag": [248, 510], "reader2t": [249, 511], "reader_assembl": [250, 512], "sparknlp_read": [251, 513], "train": [252, 253, 254, 255, 256, 257, 258, 514, 515, 516, 517, 518, 519, 520, 534], "conll": [253, 514, 534], "conllu": [254, 515, 534], "pub_tat": [256, 518], "spacy_to_annot": [257, 519], "tfgraph": [258, 520], "upload_to_hub": [259, 521], "get": [261, 529], "start": 261, "spark": [261, 262, 524, 529, 533], "nlp": [261, 262, 524, 533], "cheat": 261, "sheet": 261, "requir": 261, "instal": [261, 524], "us": [261, 524, 533], "conda": 261, "virtualenv": 261, "session": 261, "from": 261, "python": 261, "document": 262, "class": [263, 264, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 383, 386, 388, 389, 390, 391, 393, 394, 395, 396, 398, 399, 400, 401, 402, 403, 404, 405, 407, 408, 409, 410, 413, 415, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 443, 445, 446, 447, 448, 449, 450, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 482, 483, 484, 485, 486, 490, 491, 492, 494, 495, 496, 499, 500, 501, 503, 504, 506, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 521, 522], "attribut": [489, 496], "api": 523, "A": 524, "meta": 524, "machin": [524, 525], "learn": [524, 525], "platform": [524, 525], "pipelin": [524, 529, 532, 533], "paramet": 524, "evalu": 524, "metric": 524, "visual": 524, "run": 524, "an": 524, "offlin": 524, "experi": 524, "mlflow": 525, "lifecycl": 525, "third": 526, "parti": 526, "project": 526, "approach": 528, "model": 528, "note": 528, "avail": [528, 533], "set": 529, "up": 529, "your": 529, "own": 529, "type": 529, "necessari": 529, "import": 529, "construct": 529, "documentassembl": 529, "data": 529, "detect": 529, "out": 529, "put": 529, "all": 529, "togeth": 529, "ml": [529, 533], "helper": 530, "user": 531, "guid": 531, "light": 532, "convert": 532, "pipelinemodel": 532, "download": 533, "As": 533, "lightpipelin": 533, "load": 534, "dataset": 534, "spell": 534, "checker": 534, "pubtat": 534}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1, "sphinx.ext.intersphinx": 1, "sphinx": 58}, "alltitles": {"sparknlp": [[0, "sparknlp"], [489, "module-sparknlp"]], "sparknlp package": [[1, "sparknlp-package"]], "Subpackages": [[1, "subpackages"], [5, "subpackages"], [384, "subpackages"], [489, "subpackages"]], "Submodules": [[1, "submodules"], [5, "submodules"], [6, "submodules"], [12, "submodules"], [59, "submodules"], [62, "submodules"], [64, "submodules"], [83, "submodules"], [90, "submodules"], [121, "submodules"], [124, "submodules"], [126, "submodules"], [129, "submodules"], [136, "submodules"], [145, "submodules"], [148, "submodules"], [151, "submodules"], [153, "submodules"], [156, "submodules"], [159, "submodules"], [180, "submodules"], [182, "submodules"], [189, "submodules"], [195, "submodules"], [197, "submodules"], [214, "submodules"], [228, "submodules"], [234, "submodules"], [236, "submodules"], [240, "submodules"], [244, "submodules"], [252, "submodules"], [267, "submodules"], [297, "submodules"], [321, "submodules"], [322, "submodules"], [329, "submodules"], [344, "submodules"], [363, "submodules"], [382, "submodules"], [384, "submodules"], [385, "submodules"], [387, "submodules"], [392, "submodules"], [397, "submodules"], [406, "submodules"], [411, "submodules"], [412, "submodules"], [414, "submodules"], [417, "submodules"], [427, "submodules"], [442, "submodules"], [444, "submodules"], [451, "submodules"], [456, "submodules"], [468, "submodules"], [481, "submodules"], [489, "submodules"], [493, "submodules"], [497, "submodules"], [498, "submodules"], [502, "submodules"], [507, "submodules"], [516, "submodules"]], "Module contents": [[1, "module-sparknlp"], [5, "module-sparknlp.annotator"], [6, "module-sparknlp.annotator.audio"], [12, "module-sparknlp.annotator.classifier_dl"], [59, "module-sparknlp.annotator.cleaners"], [62, "module-sparknlp.annotator.coref"], [64, "module-sparknlp.annotator.cv"], [83, "module-sparknlp.annotator.dependency"], [90, "module-sparknlp.annotator.embeddings"], [121, "module-sparknlp.annotator.er"], [124, "module-sparknlp.annotator.keyword_extraction"], [126, "module-sparknlp.annotator.ld_dl"], [129, "module-sparknlp.annotator.matcher"], [136, "module-sparknlp.annotator.ner"], [145, "module-sparknlp.annotator.openai"], [148, "module-sparknlp.annotator.param"], [151, "module-sparknlp.annotator.pos"], [153, "module-sparknlp.annotator.sentence"], [156, "module-sparknlp.annotator.sentiment"], [159, "module-sparknlp.annotator.seq2seq"], [180, "module-sparknlp.annotator.similarity"], [182, "module-sparknlp.annotator.spell_check"], [189, "module-sparknlp.annotator.token"], [195, "module-sparknlp.annotator.ws"], [197, "module-sparknlp.base"], [214, "module-sparknlp.common"], [228, "module-sparknlp.internal"], [234, "module-sparknlp.logging"], [236, "module-sparknlp.partition"], [240, "module-sparknlp.pretrained"], [244, "module-sparknlp.reader"], [252, "module-sparknlp.training"]], "sparknlp.annotation module": [[2, "module-sparknlp.annotation"]], "sparknlp.annotation_audio module": [[3, "module-sparknlp.annotation_audio"]], "sparknlp.annotation_image module": [[4, "module-sparknlp.annotation_image"]], "sparknlp.annotator package": [[5, "sparknlp-annotator-package"]], "sparknlp.annotator.audio package": [[6, "sparknlp-annotator-audio-package"]], "sparknlp.annotator.audio.hubert_for_ctc module": [[7, "module-sparknlp.annotator.audio.hubert_for_ctc"]], "sparknlp.annotator.audio.wav2vec2_for_ctc module": [[8, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"]], "sparknlp.annotator.audio.whisper_for_ctc module": [[9, "module-sparknlp.annotator.audio.whisper_for_ctc"]], "sparknlp.annotator.chunk2_doc module": [[10, "module-sparknlp.annotator.chunk2_doc"]], "sparknlp.annotator.chunker module": [[11, "module-sparknlp.annotator.chunker"]], "sparknlp.annotator.classifier_dl package": [[12, "sparknlp-annotator-classifier-dl-package"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice module": [[13, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering module": [[14, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification module": [[15, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification module": [[16, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification module": [[17, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification module": [[18, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice module": [[19, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering module": [[20, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification module": [[21, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification module": [[22, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification module": [[23, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering module": [[24, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification module": [[25, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification module": [[26, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification module": [[27, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"]], "Examples": [[27, "examples"], [32, "examples"], [286, "examples"], [291, "examples"]], "sparknlp.annotator.classifier_dl.classifier_dl module": [[28, "module-sparknlp.annotator.classifier_dl.classifier_dl"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering module": [[29, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification module": [[30, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification module": [[31, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification module": [[32, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"]], "Returns": [[32, "returns"], [32, "id1"], [70, "returns"], [70, "id1"], [71, "returns"], [71, "id1"], [77, "returns"], [77, "id1"], [291, "returns"], [291, "id1"], [330, "returns"], [330, "id1"], [331, "returns"], [331, "id1"], [337, "returns"], [337, "id1"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering module": [[33, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification module": [[34, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification module": [[35, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification module": [[36, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice module": [[37, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering module": [[38, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification module": [[39, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification module": [[40, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering module": [[41, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification module": [[42, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification module": [[43, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl module": [[44, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice module": [[45, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering module": [[46, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification module": [[47, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification module": [[48, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification module": [[49, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.sentiment_dl module": [[50, "module-sparknlp.annotator.classifier_dl.sentiment_dl"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering module": [[51, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice module": [[52, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering module": [[53, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification module": [[54, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification module": [[55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification module": [[56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification module": [[57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification module": [[58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners package": [[59, "sparknlp-annotator-cleaners-package"]], "sparknlp.annotator.cleaners.cleaner module": [[60, "module-sparknlp.annotator.cleaners.cleaner"]], "sparknlp.annotator.cleaners.extractor module": [[61, "module-sparknlp.annotator.cleaners.extractor"]], "sparknlp.annotator.coref package": [[62, "sparknlp-annotator-coref-package"]], "sparknlp.annotator.coref.spanbert_coref module": [[63, "module-sparknlp.annotator.coref.spanbert_coref"]], "sparknlp.annotator.cv package": [[64, "sparknlp-annotator-cv-package"]], "sparknlp.annotator.cv.blip_for_question_answering module": [[65, "module-sparknlp.annotator.cv.blip_for_question_answering"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification module": [[66, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"]], "sparknlp.annotator.cv.convnext_for_image_classification module": [[67, "module-sparknlp.annotator.cv.convnext_for_image_classification"]], "sparknlp.annotator.cv.florence2_transformer module": [[68, "module-sparknlp.annotator.cv.florence2_transformer"]], "sparknlp.annotator.cv.gemma3_for_multimodal module": [[69, "module-sparknlp.annotator.cv.gemma3_for_multimodal"]], "sparknlp.annotator.cv.internvl_for_multimodal module": [[70, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "References": [[70, "references"], [71, "references"], [77, "references"], [330, "references"], [331, "references"], [337, "references"]], "sparknlp.annotator.cv.janus_for_multimodal module": [[71, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "sparknlp.annotator.cv.llava_for_multimodal module": [[72, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal module": [[73, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "sparknlp.annotator.cv.paligemma_for_multimodal module": [[74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal module": [[75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "sparknlp.annotator.cv.qwen2vl_transformer module": [[76, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "sparknlp.annotator.cv.smolvlm_transformer module": [[77, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "sparknlp.annotator.cv.swin_for_image_classification module": [[78, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning module": [[79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "sparknlp.annotator.cv.vit_for_image_classification module": [[80, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "sparknlp.annotator.dataframe_optimizer module": [[81, "module-sparknlp.annotator.dataframe_optimizer"]], "sparknlp.annotator.date2_chunk module": [[82, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency package": [[83, "sparknlp-annotator-dependency-package"]], "sparknlp.annotator.dependency.dependency_parser module": [[84, "module-sparknlp.annotator.dependency.dependency_parser"]], "sparknlp.annotator.dependency.typed_dependency_parser module": [[85, "module-sparknlp.annotator.dependency.typed_dependency_parser"]], "sparknlp.annotator.document_character_text_splitter module": [[86, "module-sparknlp.annotator.document_character_text_splitter"]], "sparknlp.annotator.document_normalizer module": [[87, "module-sparknlp.annotator.document_normalizer"]], "sparknlp.annotator.document_token_splitter module": [[88, "module-sparknlp.annotator.document_token_splitter"]], "sparknlp.annotator.document_token_splitter_test module": [[89, "sparknlp-annotator-document-token-splitter-test-module"]], "sparknlp.annotator.embeddings package": [[90, "sparknlp-annotator-embeddings-package"]], "sparknlp.annotator.embeddings.albert_embeddings module": [[91, "module-sparknlp.annotator.embeddings.albert_embeddings"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings module": [[92, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"]], "sparknlp.annotator.embeddings.bert_embeddings module": [[93, "module-sparknlp.annotator.embeddings.bert_embeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings module": [[94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "sparknlp.annotator.embeddings.bge_embeddings module": [[95, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings module": [[96, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings module": [[97, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings module": [[98, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings module": [[99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "sparknlp.annotator.embeddings.doc2vec module": [[100, "module-sparknlp.annotator.embeddings.doc2vec"]], "sparknlp.annotator.embeddings.e5_embeddings module": [[101, "module-sparknlp.annotator.embeddings.e5_embeddings"]], "sparknlp.annotator.embeddings.e5v_embeddings module": [[102, "module-sparknlp.annotator.embeddings.e5v_embeddings"]], "sparknlp.annotator.embeddings.elmo_embeddings module": [[103, "module-sparknlp.annotator.embeddings.elmo_embeddings"]], "sparknlp.annotator.embeddings.instructor_embeddings module": [[104, "module-sparknlp.annotator.embeddings.instructor_embeddings"]], "sparknlp.annotator.embeddings.longformer_embeddings module": [[105, "module-sparknlp.annotator.embeddings.longformer_embeddings"]], "sparknlp.annotator.embeddings.minilm_embeddings module": [[106, "module-sparknlp.annotator.embeddings.minilm_embeddings"]], "sparknlp.annotator.embeddings.mpnet_embeddings module": [[107, "module-sparknlp.annotator.embeddings.mpnet_embeddings"]], "sparknlp.annotator.embeddings.mxbai_embeddings module": [[108, "module-sparknlp.annotator.embeddings.mxbai_embeddings"]], "sparknlp.annotator.embeddings.nomic_embeddings module": [[109, "module-sparknlp.annotator.embeddings.nomic_embeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings module": [[110, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings module": [[111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings module": [[112, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings module": [[113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "sparknlp.annotator.embeddings.uae_embeddings module": [[114, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "sparknlp.annotator.embeddings.universal_sentence_encoder module": [[115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "sparknlp.annotator.embeddings.word2vec module": [[116, "module-sparknlp.annotator.embeddings.word2vec"]], "sparknlp.annotator.embeddings.word_embeddings module": [[117, "module-sparknlp.annotator.embeddings.word_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings module": [[118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings module": [[119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings module": [[120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er package": [[121, "sparknlp-annotator-er-package"]], "sparknlp.annotator.er.entity_ruler module": [[122, "module-sparknlp.annotator.er.entity_ruler"]], "sparknlp.annotator.graph_extraction module": [[123, "module-sparknlp.annotator.graph_extraction"]], "sparknlp.annotator.keyword_extraction package": [[124, "sparknlp-annotator-keyword-extraction-package"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction module": [[125, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"]], "sparknlp.annotator.ld_dl package": [[126, "sparknlp-annotator-ld-dl-package"]], "sparknlp.annotator.ld_dl.language_detector_dl module": [[127, "module-sparknlp.annotator.ld_dl.language_detector_dl"]], "sparknlp.annotator.lemmatizer module": [[128, "module-sparknlp.annotator.lemmatizer"]], "sparknlp.annotator.matcher package": [[129, "sparknlp-annotator-matcher-package"]], "sparknlp.annotator.matcher.big_text_matcher module": [[130, "module-sparknlp.annotator.matcher.big_text_matcher"]], "sparknlp.annotator.matcher.date_matcher module": [[131, "module-sparknlp.annotator.matcher.date_matcher"]], "sparknlp.annotator.matcher.multi_date_matcher module": [[132, "module-sparknlp.annotator.matcher.multi_date_matcher"]], "sparknlp.annotator.matcher.regex_matcher module": [[133, "module-sparknlp.annotator.matcher.regex_matcher"]], "sparknlp.annotator.matcher.text_matcher module": [[134, "module-sparknlp.annotator.matcher.text_matcher"]], "sparknlp.annotator.n_gram_generator module": [[135, "module-sparknlp.annotator.n_gram_generator"]], "sparknlp.annotator.ner package": [[136, "sparknlp-annotator-ner-package"]], "sparknlp.annotator.ner.ner_approach module": [[137, "module-sparknlp.annotator.ner.ner_approach"]], "sparknlp.annotator.ner.ner_converter module": [[138, "module-sparknlp.annotator.ner.ner_converter"]], "sparknlp.annotator.ner.ner_crf module": [[139, "module-sparknlp.annotator.ner.ner_crf"]], "sparknlp.annotator.ner.ner_dl module": [[140, "module-sparknlp.annotator.ner.ner_dl"]], "sparknlp.annotator.ner.ner_dl_graph_checker module": [[141, "module-sparknlp.annotator.ner.ner_dl_graph_checker"]], "sparknlp.annotator.ner.ner_overwriter module": [[142, "module-sparknlp.annotator.ner.ner_overwriter"]], "sparknlp.annotator.ner.zero_shot_ner_model module": [[143, "module-sparknlp.annotator.ner.zero_shot_ner_model"]], "sparknlp.annotator.normalizer module": [[144, "module-sparknlp.annotator.normalizer"]], "sparknlp.annotator.openai package": [[145, "sparknlp-annotator-openai-package"]], "sparknlp.annotator.openai.openai_completion module": [[146, "module-sparknlp.annotator.openai.openai_completion"]], "sparknlp.annotator.openai.openai_embeddings module": [[147, "module-sparknlp.annotator.openai.openai_embeddings"]], "sparknlp.annotator.param package": [[148, "sparknlp-annotator-param-package"]], "sparknlp.annotator.param.classifier_encoder module": [[149, "module-sparknlp.annotator.param.classifier_encoder"]], "sparknlp.annotator.param.evaluation_dl_params module": [[150, "module-sparknlp.annotator.param.evaluation_dl_params"]], "sparknlp.annotator.pos package": [[151, "sparknlp-annotator-pos-package"]], "sparknlp.annotator.pos.perceptron module": [[152, "module-sparknlp.annotator.pos.perceptron"]], "sparknlp.annotator.sentence package": [[153, "sparknlp-annotator-sentence-package"]], "sparknlp.annotator.sentence.sentence_detector module": [[154, "module-sparknlp.annotator.sentence.sentence_detector"]], "sparknlp.annotator.sentence.sentence_detector_dl module": [[155, "module-sparknlp.annotator.sentence.sentence_detector_dl"]], "sparknlp.annotator.sentiment package": [[156, "sparknlp-annotator-sentiment-package"]], "sparknlp.annotator.sentiment.sentiment_detector module": [[157, "module-sparknlp.annotator.sentiment.sentiment_detector"]], "sparknlp.annotator.sentiment.vivekn_sentiment module": [[158, "module-sparknlp.annotator.sentiment.vivekn_sentiment"]], "sparknlp.annotator.seq2seq package": [[159, "sparknlp-annotator-seq2seq-package"]], "sparknlp.annotator.seq2seq.auto_gguf_model module": [[160, "module-sparknlp.annotator.seq2seq.auto_gguf_model"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker module": [[161, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model module": [[162, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"]], "sparknlp.annotator.seq2seq.bart_transformer module": [[163, "module-sparknlp.annotator.seq2seq.bart_transformer"]], "sparknlp.annotator.seq2seq.cohere_transformer module": [[164, "module-sparknlp.annotator.seq2seq.cohere_transformer"]], "sparknlp.annotator.seq2seq.cpm_transformer module": [[165, "module-sparknlp.annotator.seq2seq.cpm_transformer"]], "sparknlp.annotator.seq2seq.gpt2_transformer module": [[166, "module-sparknlp.annotator.seq2seq.gpt2_transformer"]], "sparknlp.annotator.seq2seq.llama2_transformer module": [[167, "module-sparknlp.annotator.seq2seq.llama2_transformer"]], "sparknlp.annotator.seq2seq.llama3_transformer module": [[168, "module-sparknlp.annotator.seq2seq.llama3_transformer"]], "sparknlp.annotator.seq2seq.m2m100_transformer module": [[169, "module-sparknlp.annotator.seq2seq.m2m100_transformer"]], "sparknlp.annotator.seq2seq.marian_transformer module": [[170, "module-sparknlp.annotator.seq2seq.marian_transformer"]], "sparknlp.annotator.seq2seq.mistral_transformer module": [[171, "module-sparknlp.annotator.seq2seq.mistral_transformer"]], "sparknlp.annotator.seq2seq.nllb_transformer module": [[172, "module-sparknlp.annotator.seq2seq.nllb_transformer"]], "sparknlp.annotator.seq2seq.olmo_transformer module": [[173, "module-sparknlp.annotator.seq2seq.olmo_transformer"]], "sparknlp.annotator.seq2seq.phi2_transformer module": [[174, "module-sparknlp.annotator.seq2seq.phi2_transformer"]], "sparknlp.annotator.seq2seq.phi3_transformer module": [[175, "module-sparknlp.annotator.seq2seq.phi3_transformer"]], "sparknlp.annotator.seq2seq.phi4_transformer module": [[176, "module-sparknlp.annotator.seq2seq.phi4_transformer"]], "sparknlp.annotator.seq2seq.qwen_transformer module": [[177, "module-sparknlp.annotator.seq2seq.qwen_transformer"]], "sparknlp.annotator.seq2seq.starcoder_transformer module": [[178, "module-sparknlp.annotator.seq2seq.starcoder_transformer"]], "sparknlp.annotator.seq2seq.t5_transformer module": [[179, "module-sparknlp.annotator.seq2seq.t5_transformer"]], "sparknlp.annotator.similarity package": [[180, "sparknlp-annotator-similarity-package"]], "sparknlp.annotator.similarity.document_similarity_ranker module": [[181, "module-sparknlp.annotator.similarity.document_similarity_ranker"]], "sparknlp.annotator.spell_check package": [[182, "sparknlp-annotator-spell-check-package"]], "sparknlp.annotator.spell_check.context_spell_checker module": [[183, "module-sparknlp.annotator.spell_check.context_spell_checker"]], "sparknlp.annotator.spell_check.norvig_sweeting module": [[184, "module-sparknlp.annotator.spell_check.norvig_sweeting"]], "sparknlp.annotator.spell_check.symmetric_delete module": [[185, "module-sparknlp.annotator.spell_check.symmetric_delete"]], "sparknlp.annotator.stemmer module": [[186, "module-sparknlp.annotator.stemmer"]], "sparknlp.annotator.stop_words_cleaner module": [[187, "module-sparknlp.annotator.stop_words_cleaner"]], "sparknlp.annotator.tf_ner_dl_graph_builder module": [[188, "module-sparknlp.annotator.tf_ner_dl_graph_builder"]], "sparknlp.annotator.token package": [[189, "sparknlp-annotator-token-package"]], "sparknlp.annotator.token.chunk_tokenizer module": [[190, "module-sparknlp.annotator.token.chunk_tokenizer"]], "sparknlp.annotator.token.recursive_tokenizer module": [[191, "module-sparknlp.annotator.token.recursive_tokenizer"]], "sparknlp.annotator.token.regex_tokenizer module": [[192, "module-sparknlp.annotator.token.regex_tokenizer"]], "sparknlp.annotator.token.tokenizer module": [[193, "module-sparknlp.annotator.token.tokenizer"]], "sparknlp.annotator.token2_chunk module": [[194, "module-sparknlp.annotator.token2_chunk"]], "sparknlp.annotator.ws package": [[195, "sparknlp-annotator-ws-package"]], "sparknlp.annotator.ws.word_segmenter module": [[196, "module-sparknlp.annotator.ws.word_segmenter"]], "sparknlp.base package": [[197, "sparknlp-base-package"]], "sparknlp.base.audio_assembler module": [[198, "module-sparknlp.base.audio_assembler"]], "sparknlp.base.doc2_chunk module": [[199, "module-sparknlp.base.doc2_chunk"]], "sparknlp.base.document_assembler module": [[200, "module-sparknlp.base.document_assembler"]], "sparknlp.base.embeddings_finisher module": [[201, "module-sparknlp.base.embeddings_finisher"]], "sparknlp.base.finisher module": [[202, "module-sparknlp.base.finisher"]], "sparknlp.base.gguf_ranking_finisher module": [[203, "module-sparknlp.base.gguf_ranking_finisher"]], "sparknlp.base.graph_finisher module": [[204, "module-sparknlp.base.graph_finisher"]], "sparknlp.base.has_recursive_fit module": [[205, "module-sparknlp.base.has_recursive_fit"]], "sparknlp.base.has_recursive_transform module": [[206, "module-sparknlp.base.has_recursive_transform"]], "sparknlp.base.image_assembler module": [[207, "module-sparknlp.base.image_assembler"]], "sparknlp.base.light_pipeline module": [[208, "module-sparknlp.base.light_pipeline"]], "sparknlp.base.multi_document_assembler module": [[209, "module-sparknlp.base.multi_document_assembler"]], "sparknlp.base.prompt_assembler module": [[210, "module-sparknlp.base.prompt_assembler"]], "sparknlp.base.recursive_pipeline module": [[211, "module-sparknlp.base.recursive_pipeline"]], "sparknlp.base.table_assembler module": [[212, "module-sparknlp.base.table_assembler"]], "sparknlp.base.token_assembler module": [[213, "module-sparknlp.base.token_assembler"]], "sparknlp.common package": [[214, "sparknlp-common-package"]], "sparknlp.common.annotator_approach module": [[215, "module-sparknlp.common.annotator_approach"]], "sparknlp.common.annotator_model module": [[216, "module-sparknlp.common.annotator_model"]], "sparknlp.common.annotator_properties module": [[217, "module-sparknlp.common.annotator_properties"]], "sparknlp.common.annotator_type module": [[218, "module-sparknlp.common.annotator_type"]], "sparknlp.common.completion_post_processing module": [[219, "module-sparknlp.common.completion_post_processing"]], "sparknlp.common.coverage_result module": [[220, "module-sparknlp.common.coverage_result"]], "sparknlp.common.match_strategy module": [[221, "module-sparknlp.common.match_strategy"]], "sparknlp.common.properties module": [[222, "module-sparknlp.common.properties"]], "sparknlp.common.read_as module": [[223, "module-sparknlp.common.read_as"]], "sparknlp.common.recursive_annotator_approach module": [[224, "module-sparknlp.common.recursive_annotator_approach"]], "sparknlp.common.storage module": [[225, "module-sparknlp.common.storage"]], "sparknlp.common.utils module": [[226, "module-sparknlp.common.utils"]], "sparknlp.functions module": [[227, "module-sparknlp.functions"]], "sparknlp.internal package": [[228, "sparknlp-internal-package"]], "sparknlp.internal.annotator_java_ml module": [[229, "module-sparknlp.internal.annotator_java_ml"]], "sparknlp.internal.annotator_transformer module": [[230, "module-sparknlp.internal.annotator_transformer"]], "sparknlp.internal.extended_java_wrapper module": [[231, "module-sparknlp.internal.extended_java_wrapper"]], "sparknlp.internal.params_getters_setters module": [[232, "module-sparknlp.internal.params_getters_setters"]], "sparknlp.internal.recursive module": [[233, "module-sparknlp.internal.recursive"]], "sparknlp.logging package": [[234, "sparknlp-logging-package"]], "sparknlp.logging.comet module": [[235, "module-sparknlp.logging.comet"]], "sparknlp.partition package": [[236, "sparknlp-partition-package"]], "sparknlp.partition.partition module": [[237, "module-sparknlp.partition.partition"]], "sparknlp.partition.partition_properties module": [[238, "module-sparknlp.partition.partition_properties"]], "ParametersF": [[238, "parametersf"], [500, "parametersf"]], "sparknlp.partition.partition_transformer module": [[239, "module-sparknlp.partition.partition_transformer"]], "sparknlp.pretrained package": [[240, "sparknlp-pretrained-package"]], "sparknlp.pretrained.pretrained_pipeline module": [[241, "module-sparknlp.pretrained.pretrained_pipeline"]], "sparknlp.pretrained.resource_downloader module": [[242, "module-sparknlp.pretrained.resource_downloader"]], "sparknlp.pretrained.utils module": [[243, "module-sparknlp.pretrained.utils"]], "sparknlp.reader package": [[244, "sparknlp-reader-package"]], "sparknlp.reader.enums module": [[245, "module-sparknlp.reader.enums"]], "sparknlp.reader.pdf_to_text module": [[246, "module-sparknlp.reader.pdf_to_text"]], "sparknlp.reader.reader2doc module": [[247, "module-sparknlp.reader.reader2doc"]], "sparknlp.reader.reader2image module": [[248, "module-sparknlp.reader.reader2image"]], "sparknlp.reader.reader2table module": [[249, "module-sparknlp.reader.reader2table"]], "sparknlp.reader.reader_assembler module": [[250, "module-sparknlp.reader.reader_assembler"]], "sparknlp.reader.sparknlp_reader module": [[251, "module-sparknlp.reader.sparknlp_reader"]], "sparknlp.training package": [[252, "sparknlp-training-package"]], "sparknlp.training.conll module": [[253, "module-sparknlp.training.conll"]], "sparknlp.training.conllu module": [[254, "module-sparknlp.training.conllu"]], "sparknlp.training.pos module": [[255, "module-sparknlp.training.pos"]], "sparknlp.training.pub_tator module": [[256, "module-sparknlp.training.pub_tator"]], "sparknlp.training.spacy_to_annotation module": [[257, "module-sparknlp.training.spacy_to_annotation"]], "sparknlp.training.tfgraphs module": [[258, "sparknlp-training-tfgraphs-module"]], "sparknlp.upload_to_hub module": [[259, "module-sparknlp.upload_to_hub"]], "sparknlp.util module": [[260, "module-sparknlp.util"]], "Getting Started": [[261, "getting-started"]], "Spark NLP Cheat Sheet": [[261, "spark-nlp-cheat-sheet"]], "Requirements": [[261, "requirements"]], "Installation": [[261, "installation"], [524, "installation"]], "Using Conda": [[261, "using-conda"]], "Using Virtualenv": [[261, "using-virtualenv"]], "Starting a Spark NLP Session from Python": [[261, "starting-a-spark-nlp-session-from-python"]], "Spark NLP Documentation": [[262, "spark-nlp-documentation"]], "Content": [[262, "content"]], "sparknlp.annotation": [[263, "module-sparknlp.annotation"]], "Module Contents": [[263, "module-contents"], [264, "module-contents"], [265, "module-contents"], [266, "module-contents"], [268, "module-contents"], [269, "module-contents"], [270, "module-contents"], [271, "module-contents"], [272, "module-contents"], [273, "module-contents"], [274, "module-contents"], [275, "module-contents"], [276, "module-contents"], [277, "module-contents"], [278, "module-contents"], [279, "module-contents"], [280, "module-contents"], [281, "module-contents"], [282, "module-contents"], [283, "module-contents"], [284, "module-contents"], [285, "module-contents"], [286, "module-contents"], [287, "module-contents"], [288, "module-contents"], [289, "module-contents"], [290, "module-contents"], [291, "module-contents"], [292, "module-contents"], [293, "module-contents"], [294, "module-contents"], [295, "module-contents"], [296, "module-contents"], [298, "module-contents"], [299, "module-contents"], [300, "module-contents"], [301, "module-contents"], [302, "module-contents"], [303, "module-contents"], [304, "module-contents"], [305, "module-contents"], [306, "module-contents"], [307, "module-contents"], [308, "module-contents"], [309, "module-contents"], [310, "module-contents"], [311, "module-contents"], [312, "module-contents"], [313, "module-contents"], [314, "module-contents"], [315, "module-contents"], [316, "module-contents"], [317, "module-contents"], [318, "module-contents"], [319, "module-contents"], [320, "module-contents"], [323, "module-contents"], [324, "module-contents"], [325, "module-contents"], [326, "module-contents"], [327, "module-contents"], [328, "module-contents"], [330, "module-contents"], [331, "module-contents"], [332, "module-contents"], [333, "module-contents"], [334, "module-contents"], [335, "module-contents"], [336, "module-contents"], [337, "module-contents"], [338, "module-contents"], [339, "module-contents"], [340, "module-contents"], [341, "module-contents"], [342, "module-contents"], [343, "module-contents"], [345, "module-contents"], [346, "module-contents"], [347, "module-contents"], [348, "module-contents"], [349, "module-contents"], [350, "module-contents"], [351, "module-contents"], [352, "module-contents"], [353, "module-contents"], [354, "module-contents"], [355, "module-contents"], [356, "module-contents"], [357, "module-contents"], [358, "module-contents"], [359, "module-contents"], [360, "module-contents"], [361, "module-contents"], [362, "module-contents"], [364, "module-contents"], [365, "module-contents"], [366, "module-contents"], [367, "module-contents"], [368, "module-contents"], [369, "module-contents"], [370, "module-contents"], [371, "module-contents"], [372, "module-contents"], [373, "module-contents"], [374, "module-contents"], [375, "module-contents"], [376, "module-contents"], [377, "module-contents"], [378, "module-contents"], [379, "module-contents"], [380, "module-contents"], [381, "module-contents"], [383, "module-contents"], [386, "module-contents"], [388, "module-contents"], [389, "module-contents"], [390, "module-contents"], [391, "module-contents"], [393, "module-contents"], [394, "module-contents"], [395, "module-contents"], [396, "module-contents"], [398, "module-contents"], [399, "module-contents"], [400, "module-contents"], [401, "module-contents"], [402, "module-contents"], [403, "module-contents"], [404, "module-contents"], [405, "module-contents"], [407, "module-contents"], [408, "module-contents"], [409, "module-contents"], [410, "module-contents"], [413, "module-contents"], [415, "module-contents"], [416, "module-contents"], [418, "module-contents"], [419, "module-contents"], [420, "module-contents"], [421, "module-contents"], [422, "module-contents"], [423, "module-contents"], [424, "module-contents"], [425, "module-contents"], [426, "module-contents"], [428, "module-contents"], [429, "module-contents"], [430, "module-contents"], [431, "module-contents"], [432, "module-contents"], [433, "module-contents"], [434, "module-contents"], [435, "module-contents"], [436, "module-contents"], [437, "module-contents"], [438, "module-contents"], [439, "module-contents"], [440, "module-contents"], [441, "module-contents"], [443, "module-contents"], [445, "module-contents"], [446, "module-contents"], [447, "module-contents"], [448, "module-contents"], [449, "module-contents"], [450, "module-contents"], [452, "module-contents"], [453, "module-contents"], [454, "module-contents"], [455, "module-contents"], [457, "module-contents"], [458, "module-contents"], [459, "module-contents"], [460, "module-contents"], [461, "module-contents"], [462, "module-contents"], [463, "module-contents"], [464, "module-contents"], [465, "module-contents"], [466, "module-contents"], [467, "module-contents"], [469, "module-contents"], [470, "module-contents"], [471, "module-contents"], [472, "module-contents"], [473, "module-contents"], [474, "module-contents"], [475, "module-contents"], [476, "module-contents"], [477, "module-contents"], [478, "module-contents"], [479, "module-contents"], [480, "module-contents"], [482, "module-contents"], [483, "module-contents"], [484, "module-contents"], [485, "module-contents"], [486, "module-contents"], [487, "module-contents"], [488, "module-contents"], [490, "module-contents"], [491, "module-contents"], [492, "module-contents"], [494, "module-contents"], [495, "module-contents"], [496, "module-contents"], [499, "module-contents"], [500, "module-contents"], [501, "module-contents"], [503, "module-contents"], [504, "module-contents"], [505, "module-contents"], [506, "module-contents"], [508, "module-contents"], [509, "module-contents"], [510, "module-contents"], [511, "module-contents"], [512, "module-contents"], [513, "module-contents"], [514, "module-contents"], [515, "module-contents"], [517, "module-contents"], [518, "module-contents"], [519, "module-contents"], [520, "module-contents"], [521, "module-contents"], [522, "module-contents"]], "Classes": [[263, "classes"], [264, "classes"], [265, "classes"], [266, "classes"], [268, "classes"], [269, "classes"], [270, "classes"], [271, "classes"], [272, "classes"], [273, "classes"], [274, "classes"], [275, "classes"], [276, "classes"], [277, "classes"], [278, "classes"], [279, "classes"], [280, "classes"], [281, "classes"], [282, "classes"], [283, "classes"], [284, "classes"], [285, "classes"], [286, "classes"], [287, "classes"], [288, "classes"], [289, "classes"], [290, "classes"], [291, "classes"], [292, "classes"], [293, "classes"], [294, "classes"], [295, "classes"], [296, "classes"], [298, "classes"], [299, "classes"], [300, "classes"], [301, "classes"], [302, "classes"], [303, "classes"], [304, "classes"], [305, "classes"], [306, "classes"], [307, "classes"], [308, "classes"], [309, "classes"], [310, "classes"], [311, "classes"], [312, "classes"], [313, "classes"], [314, "classes"], [315, "classes"], [316, "classes"], [317, "classes"], [318, "classes"], [319, "classes"], [320, "classes"], [323, "classes"], [324, "classes"], [325, "classes"], [326, "classes"], [327, "classes"], [328, "classes"], [330, "classes"], [331, "classes"], [332, "classes"], [333, "classes"], [334, "classes"], [335, "classes"], [336, "classes"], [337, "classes"], [338, "classes"], [339, "classes"], [340, "classes"], [341, "classes"], [342, "classes"], [343, "classes"], [345, "classes"], [346, "classes"], [347, "classes"], [348, "classes"], [349, "classes"], [350, "classes"], [351, "classes"], [352, "classes"], [353, "classes"], [354, "classes"], [355, "classes"], [356, "classes"], [357, "classes"], [358, "classes"], [359, "classes"], [360, "classes"], [361, "classes"], [362, "classes"], [364, "classes"], [365, "classes"], [366, "classes"], [367, "classes"], [368, "classes"], [369, "classes"], [370, "classes"], [371, "classes"], [372, "classes"], [373, "classes"], [374, "classes"], [375, "classes"], [376, "classes"], [377, "classes"], [378, "classes"], [379, "classes"], [380, "classes"], [381, "classes"], [383, "classes"], [386, "classes"], [388, "classes"], [389, "classes"], [390, "classes"], [391, "classes"], [393, "classes"], [394, "classes"], [395, "classes"], [396, "classes"], [398, "classes"], [399, "classes"], [400, "classes"], [401, "classes"], [402, "classes"], [403, "classes"], [404, "classes"], [405, "classes"], [407, "classes"], [408, "classes"], [409, "classes"], [410, "classes"], [413, "classes"], [415, "classes"], [416, "classes"], [418, "classes"], [419, "classes"], [420, "classes"], [421, "classes"], [422, "classes"], [423, "classes"], [424, "classes"], [425, "classes"], [426, "classes"], [428, "classes"], [429, "classes"], [430, "classes"], [431, "classes"], [432, "classes"], [433, "classes"], [434, "classes"], [435, "classes"], [436, "classes"], [437, "classes"], [438, "classes"], [439, "classes"], [440, "classes"], [441, "classes"], [443, "classes"], [445, "classes"], [446, "classes"], [447, "classes"], [448, "classes"], [449, "classes"], [450, "classes"], [452, "classes"], [453, "classes"], [454, "classes"], [455, "classes"], [457, "classes"], [458, "classes"], [459, "classes"], [460, "classes"], [461, "classes"], [462, "classes"], [463, "classes"], [464, "classes"], [465, "classes"], [466, "classes"], [467, "classes"], [469, "classes"], [470, "classes"], [471, "classes"], [472, "classes"], [473, "classes"], [474, "classes"], [475, "classes"], [476, "classes"], [477, "classes"], [478, "classes"], [479, "classes"], [480, "classes"], [482, "classes"], [483, "classes"], [484, "classes"], [485, "classes"], [486, "classes"], [490, "classes"], [491, "classes"], [492, "classes"], [494, "classes"], [495, "classes"], [496, "classes"], [499, "classes"], [500, "classes"], [501, "classes"], [503, "classes"], [504, "classes"], [506, "classes"], [508, "classes"], [509, "classes"], [510, "classes"], [511, "classes"], [512, "classes"], [513, "classes"], [514, "classes"], [515, "classes"], [517, "classes"], [518, "classes"], [519, "classes"], [521, "classes"], [522, "classes"]], "sparknlp.annotation_audio": [[264, "module-sparknlp.annotation_audio"]], "sparknlp.annotation_image": [[265, "module-sparknlp.annotation_image"]], "sparknlp.annotator.audio.hubert_for_ctc": [[266, "module-sparknlp.annotator.audio.hubert_for_ctc"]], "sparknlp.annotator.audio": [[267, "module-sparknlp.annotator.audio"]], "sparknlp.annotator.audio.wav2vec2_for_ctc": [[268, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"]], "sparknlp.annotator.audio.whisper_for_ctc": [[269, "module-sparknlp.annotator.audio.whisper_for_ctc"]], "sparknlp.annotator.chunk2_doc": [[270, "module-sparknlp.annotator.chunk2_doc"]], "sparknlp.annotator.chunker": [[271, "module-sparknlp.annotator.chunker"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice": [[272, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering": [[273, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification": [[274, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification": [[275, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification": [[276, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification": [[277, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice": [[278, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering": [[279, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification": [[280, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification": [[281, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification": [[282, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering": [[283, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification": [[284, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification": [[285, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification": [[286, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.classifier_dl": [[287, "module-sparknlp.annotator.classifier_dl.classifier_dl"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering": [[288, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification": [[289, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification": [[290, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification": [[291, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering": [[292, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification": [[293, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification": [[294, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification": [[295, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice": [[296, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"]], "sparknlp.annotator.classifier_dl": [[297, "module-sparknlp.annotator.classifier_dl"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering": [[298, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification": [[299, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification": [[300, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering": [[301, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification": [[302, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification": [[303, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl": [[304, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice": [[305, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering": [[306, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification": [[307, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification": [[308, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification": [[309, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.sentiment_dl": [[310, "module-sparknlp.annotator.classifier_dl.sentiment_dl"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering": [[311, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice": [[312, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering": [[313, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification": [[314, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification": [[315, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification": [[316, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification": [[317, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification": [[318, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners.cleaner": [[319, "module-sparknlp.annotator.cleaners.cleaner"]], "sparknlp.annotator.cleaners.extractor": [[320, "module-sparknlp.annotator.cleaners.extractor"]], "sparknlp.annotator.cleaners": [[321, "module-sparknlp.annotator.cleaners"]], "sparknlp.annotator.coref": [[322, "module-sparknlp.annotator.coref"]], "sparknlp.annotator.coref.spanbert_coref": [[323, "module-sparknlp.annotator.coref.spanbert_coref"]], "sparknlp.annotator.cv.blip_for_question_answering": [[324, "module-sparknlp.annotator.cv.blip_for_question_answering"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification": [[325, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"]], "sparknlp.annotator.cv.convnext_for_image_classification": [[326, "module-sparknlp.annotator.cv.convnext_for_image_classification"]], "sparknlp.annotator.cv.florence2_transformer": [[327, "module-sparknlp.annotator.cv.florence2_transformer"]], "sparknlp.annotator.cv.gemma3_for_multimodal": [[328, "module-sparknlp.annotator.cv.gemma3_for_multimodal"]], "sparknlp.annotator.cv": [[329, "module-sparknlp.annotator.cv"]], "sparknlp.annotator.cv.internvl_for_multimodal": [[330, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "sparknlp.annotator.cv.janus_for_multimodal": [[331, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "sparknlp.annotator.cv.llava_for_multimodal": [[332, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "sparknlp.annotator.cv.mllama_for_multimodal": [[333, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "sparknlp.annotator.cv.paligemma_for_multimodal": [[334, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal": [[335, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "sparknlp.annotator.cv.qwen2vl_transformer": [[336, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "sparknlp.annotator.cv.smolvlm_transformer": [[337, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "sparknlp.annotator.cv.swin_for_image_classification": [[338, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning": [[339, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "sparknlp.annotator.cv.vit_for_image_classification": [[340, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "sparknlp.annotator.dataframe_optimizer": [[341, "module-sparknlp.annotator.dataframe_optimizer"]], "Functions": [[341, "functions"], [487, "functions"], [488, "functions"], [489, "functions"], [505, "functions"], [522, "functions"]], "sparknlp.annotator.date2_chunk": [[342, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency.dependency_parser": [[343, "module-sparknlp.annotator.dependency.dependency_parser"]], "sparknlp.annotator.dependency": [[344, "module-sparknlp.annotator.dependency"]], "sparknlp.annotator.dependency.typed_dependency_parser": [[345, "module-sparknlp.annotator.dependency.typed_dependency_parser"]], "sparknlp.annotator.document_character_text_splitter": [[346, "module-sparknlp.annotator.document_character_text_splitter"]], "sparknlp.annotator.document_normalizer": [[347, "module-sparknlp.annotator.document_normalizer"]], "sparknlp.annotator.document_token_splitter": [[348, "module-sparknlp.annotator.document_token_splitter"]], "sparknlp.annotator.document_token_splitter_test": [[349, "module-sparknlp.annotator.document_token_splitter_test"]], "sparknlp.annotator.embeddings.albert_embeddings": [[350, "module-sparknlp.annotator.embeddings.albert_embeddings"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings": [[351, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"]], "sparknlp.annotator.embeddings.bert_embeddings": [[352, "module-sparknlp.annotator.embeddings.bert_embeddings"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings": [[353, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "sparknlp.annotator.embeddings.bge_embeddings": [[354, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "sparknlp.annotator.embeddings.camembert_embeddings": [[355, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "sparknlp.annotator.embeddings.chunk_embeddings": [[356, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "sparknlp.annotator.embeddings.deberta_embeddings": [[357, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "sparknlp.annotator.embeddings.distil_bert_embeddings": [[358, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "sparknlp.annotator.embeddings.doc2vec": [[359, "module-sparknlp.annotator.embeddings.doc2vec"]], "sparknlp.annotator.embeddings.e5_embeddings": [[360, "module-sparknlp.annotator.embeddings.e5_embeddings"]], "sparknlp.annotator.embeddings.e5v_embeddings": [[361, "module-sparknlp.annotator.embeddings.e5v_embeddings"]], "sparknlp.annotator.embeddings.elmo_embeddings": [[362, "module-sparknlp.annotator.embeddings.elmo_embeddings"]], "sparknlp.annotator.embeddings": [[363, "module-sparknlp.annotator.embeddings"]], "sparknlp.annotator.embeddings.instructor_embeddings": [[364, "module-sparknlp.annotator.embeddings.instructor_embeddings"]], "sparknlp.annotator.embeddings.longformer_embeddings": [[365, "module-sparknlp.annotator.embeddings.longformer_embeddings"]], "sparknlp.annotator.embeddings.minilm_embeddings": [[366, "module-sparknlp.annotator.embeddings.minilm_embeddings"]], "sparknlp.annotator.embeddings.mpnet_embeddings": [[367, "module-sparknlp.annotator.embeddings.mpnet_embeddings"]], "sparknlp.annotator.embeddings.mxbai_embeddings": [[368, "module-sparknlp.annotator.embeddings.mxbai_embeddings"]], "sparknlp.annotator.embeddings.nomic_embeddings": [[369, "module-sparknlp.annotator.embeddings.nomic_embeddings"]], "sparknlp.annotator.embeddings.roberta_embeddings": [[370, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings": [[371, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.sentence_embeddings": [[372, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "sparknlp.annotator.embeddings.snowflake_embeddings": [[373, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "sparknlp.annotator.embeddings.uae_embeddings": [[374, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "sparknlp.annotator.embeddings.universal_sentence_encoder": [[375, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "sparknlp.annotator.embeddings.word2vec": [[376, "module-sparknlp.annotator.embeddings.word2vec"]], "sparknlp.annotator.embeddings.word_embeddings": [[377, "module-sparknlp.annotator.embeddings.word_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings": [[378, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings": [[379, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "sparknlp.annotator.embeddings.xlnet_embeddings": [[380, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er.entity_ruler": [[381, "module-sparknlp.annotator.er.entity_ruler"]], "sparknlp.annotator.er": [[382, "module-sparknlp.annotator.er"]], "sparknlp.annotator.graph_extraction": [[383, "module-sparknlp.annotator.graph_extraction"]], "sparknlp.annotator": [[384, "module-sparknlp.annotator"]], "Package Contents": [[384, "package-contents"], [489, "package-contents"]], "sparknlp.annotator.keyword_extraction": [[385, "module-sparknlp.annotator.keyword_extraction"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction": [[386, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"]], "sparknlp.annotator.ld_dl": [[387, "module-sparknlp.annotator.ld_dl"]], "sparknlp.annotator.ld_dl.language_detector_dl": [[388, "module-sparknlp.annotator.ld_dl.language_detector_dl"]], "sparknlp.annotator.lemmatizer": [[389, "module-sparknlp.annotator.lemmatizer"]], "sparknlp.annotator.matcher.big_text_matcher": [[390, "module-sparknlp.annotator.matcher.big_text_matcher"]], "sparknlp.annotator.matcher.date_matcher": [[391, "module-sparknlp.annotator.matcher.date_matcher"]], "sparknlp.annotator.matcher": [[392, "module-sparknlp.annotator.matcher"]], "sparknlp.annotator.matcher.multi_date_matcher": [[393, "module-sparknlp.annotator.matcher.multi_date_matcher"]], "sparknlp.annotator.matcher.regex_matcher": [[394, "module-sparknlp.annotator.matcher.regex_matcher"]], "sparknlp.annotator.matcher.text_matcher": [[395, "module-sparknlp.annotator.matcher.text_matcher"]], "sparknlp.annotator.n_gram_generator": [[396, "module-sparknlp.annotator.n_gram_generator"]], "sparknlp.annotator.ner": [[397, "module-sparknlp.annotator.ner"]], "sparknlp.annotator.ner.ner_approach": [[398, "module-sparknlp.annotator.ner.ner_approach"]], "sparknlp.annotator.ner.ner_converter": [[399, "module-sparknlp.annotator.ner.ner_converter"]], "sparknlp.annotator.ner.ner_crf": [[400, "module-sparknlp.annotator.ner.ner_crf"]], "sparknlp.annotator.ner.ner_dl": [[401, "module-sparknlp.annotator.ner.ner_dl"]], "sparknlp.annotator.ner.ner_dl_graph_checker": [[402, "module-sparknlp.annotator.ner.ner_dl_graph_checker"]], "sparknlp.annotator.ner.ner_overwriter": [[403, "module-sparknlp.annotator.ner.ner_overwriter"]], "sparknlp.annotator.ner.zero_shot_ner_model": [[404, "module-sparknlp.annotator.ner.zero_shot_ner_model"]], "sparknlp.annotator.normalizer": [[405, "module-sparknlp.annotator.normalizer"]], "sparknlp.annotator.openai": [[406, "module-sparknlp.annotator.openai"]], "sparknlp.annotator.openai.openai_completion": [[407, "module-sparknlp.annotator.openai.openai_completion"]], "sparknlp.annotator.openai.openai_embeddings": [[408, "module-sparknlp.annotator.openai.openai_embeddings"]], "sparknlp.annotator.param.classifier_encoder": [[409, "module-sparknlp.annotator.param.classifier_encoder"]], "sparknlp.annotator.param.evaluation_dl_params": [[410, "module-sparknlp.annotator.param.evaluation_dl_params"]], "sparknlp.annotator.param": [[411, "module-sparknlp.annotator.param"]], "sparknlp.annotator.pos": [[412, "module-sparknlp.annotator.pos"]], "sparknlp.annotator.pos.perceptron": [[413, "module-sparknlp.annotator.pos.perceptron"]], "sparknlp.annotator.sentence": [[414, "module-sparknlp.annotator.sentence"]], "sparknlp.annotator.sentence.sentence_detector": [[415, "module-sparknlp.annotator.sentence.sentence_detector"]], "sparknlp.annotator.sentence.sentence_detector_dl": [[416, "module-sparknlp.annotator.sentence.sentence_detector_dl"]], "sparknlp.annotator.sentiment": [[417, "module-sparknlp.annotator.sentiment"]], "sparknlp.annotator.sentiment.sentiment_detector": [[418, "module-sparknlp.annotator.sentiment.sentiment_detector"]], "sparknlp.annotator.sentiment.vivekn_sentiment": [[419, "module-sparknlp.annotator.sentiment.vivekn_sentiment"]], "sparknlp.annotator.seq2seq.auto_gguf_model": [[420, "module-sparknlp.annotator.seq2seq.auto_gguf_model"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker": [[421, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model": [[422, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"]], "sparknlp.annotator.seq2seq.bart_transformer": [[423, "module-sparknlp.annotator.seq2seq.bart_transformer"]], "sparknlp.annotator.seq2seq.cohere_transformer": [[424, "module-sparknlp.annotator.seq2seq.cohere_transformer"]], "sparknlp.annotator.seq2seq.cpm_transformer": [[425, "module-sparknlp.annotator.seq2seq.cpm_transformer"]], "sparknlp.annotator.seq2seq.gpt2_transformer": [[426, "module-sparknlp.annotator.seq2seq.gpt2_transformer"]], "sparknlp.annotator.seq2seq": [[427, "module-sparknlp.annotator.seq2seq"]], "sparknlp.annotator.seq2seq.llama2_transformer": [[428, "module-sparknlp.annotator.seq2seq.llama2_transformer"]], "sparknlp.annotator.seq2seq.llama3_transformer": [[429, "module-sparknlp.annotator.seq2seq.llama3_transformer"]], "sparknlp.annotator.seq2seq.m2m100_transformer": [[430, "module-sparknlp.annotator.seq2seq.m2m100_transformer"]], "sparknlp.annotator.seq2seq.marian_transformer": [[431, "module-sparknlp.annotator.seq2seq.marian_transformer"]], "sparknlp.annotator.seq2seq.mistral_transformer": [[432, "module-sparknlp.annotator.seq2seq.mistral_transformer"]], "sparknlp.annotator.seq2seq.nllb_transformer": [[433, "module-sparknlp.annotator.seq2seq.nllb_transformer"]], "sparknlp.annotator.seq2seq.olmo_transformer": [[434, "module-sparknlp.annotator.seq2seq.olmo_transformer"]], "sparknlp.annotator.seq2seq.phi2_transformer": [[435, "module-sparknlp.annotator.seq2seq.phi2_transformer"]], "sparknlp.annotator.seq2seq.phi3_transformer": [[436, "module-sparknlp.annotator.seq2seq.phi3_transformer"]], "sparknlp.annotator.seq2seq.phi4_transformer": [[437, "module-sparknlp.annotator.seq2seq.phi4_transformer"]], "sparknlp.annotator.seq2seq.qwen_transformer": [[438, "module-sparknlp.annotator.seq2seq.qwen_transformer"]], "sparknlp.annotator.seq2seq.starcoder_transformer": [[439, "module-sparknlp.annotator.seq2seq.starcoder_transformer"]], "sparknlp.annotator.seq2seq.t5_transformer": [[440, "module-sparknlp.annotator.seq2seq.t5_transformer"]], "sparknlp.annotator.similarity.document_similarity_ranker": [[441, "module-sparknlp.annotator.similarity.document_similarity_ranker"]], "sparknlp.annotator.similarity": [[442, "module-sparknlp.annotator.similarity"]], "sparknlp.annotator.spell_check.context_spell_checker": [[443, "module-sparknlp.annotator.spell_check.context_spell_checker"]], "sparknlp.annotator.spell_check": [[444, "module-sparknlp.annotator.spell_check"]], "sparknlp.annotator.spell_check.norvig_sweeting": [[445, "module-sparknlp.annotator.spell_check.norvig_sweeting"]], "sparknlp.annotator.spell_check.symmetric_delete": [[446, "module-sparknlp.annotator.spell_check.symmetric_delete"]], "sparknlp.annotator.stemmer": [[447, "module-sparknlp.annotator.stemmer"]], "sparknlp.annotator.stop_words_cleaner": [[448, "module-sparknlp.annotator.stop_words_cleaner"]], "sparknlp.annotator.tf_ner_dl_graph_builder": [[449, "module-sparknlp.annotator.tf_ner_dl_graph_builder"]], "sparknlp.annotator.token.chunk_tokenizer": [[450, "module-sparknlp.annotator.token.chunk_tokenizer"]], "sparknlp.annotator.token": [[451, "module-sparknlp.annotator.token"]], "sparknlp.annotator.token.recursive_tokenizer": [[452, "module-sparknlp.annotator.token.recursive_tokenizer"]], "sparknlp.annotator.token.regex_tokenizer": [[453, "module-sparknlp.annotator.token.regex_tokenizer"]], "sparknlp.annotator.token.tokenizer": [[454, "module-sparknlp.annotator.token.tokenizer"]], "sparknlp.annotator.token2_chunk": [[455, "module-sparknlp.annotator.token2_chunk"]], "sparknlp.annotator.ws": [[456, "module-sparknlp.annotator.ws"]], "sparknlp.annotator.ws.word_segmenter": [[457, "module-sparknlp.annotator.ws.word_segmenter"]], "sparknlp.base.audio_assembler": [[458, "module-sparknlp.base.audio_assembler"]], "sparknlp.base.doc2_chunk": [[459, "module-sparknlp.base.doc2_chunk"]], "sparknlp.base.document_assembler": [[460, "module-sparknlp.base.document_assembler"]], "sparknlp.base.embeddings_finisher": [[461, "module-sparknlp.base.embeddings_finisher"]], "sparknlp.base.finisher": [[462, "module-sparknlp.base.finisher"]], "sparknlp.base.gguf_ranking_finisher": [[463, "module-sparknlp.base.gguf_ranking_finisher"]], "sparknlp.base.graph_finisher": [[464, "module-sparknlp.base.graph_finisher"]], "sparknlp.base.has_recursive_fit": [[465, "module-sparknlp.base.has_recursive_fit"]], "sparknlp.base.has_recursive_transform": [[466, "module-sparknlp.base.has_recursive_transform"]], "sparknlp.base.image_assembler": [[467, "module-sparknlp.base.image_assembler"]], "sparknlp.base": [[468, "module-sparknlp.base"]], "sparknlp.base.light_pipeline": [[469, "module-sparknlp.base.light_pipeline"]], "sparknlp.base.multi_document_assembler": [[470, "module-sparknlp.base.multi_document_assembler"]], "sparknlp.base.prompt_assembler": [[471, "module-sparknlp.base.prompt_assembler"]], "sparknlp.base.recursive_pipeline": [[472, "module-sparknlp.base.recursive_pipeline"]], "sparknlp.base.table_assembler": [[473, "module-sparknlp.base.table_assembler"]], "sparknlp.base.token_assembler": [[474, "module-sparknlp.base.token_assembler"]], "sparknlp.common.annotator_approach": [[475, "module-sparknlp.common.annotator_approach"]], "sparknlp.common.annotator_model": [[476, "module-sparknlp.common.annotator_model"]], "sparknlp.common.annotator_properties": [[477, "module-sparknlp.common.annotator_properties"]], "sparknlp.common.annotator_type": [[478, "module-sparknlp.common.annotator_type"]], "sparknlp.common.completion_post_processing": [[479, "module-sparknlp.common.completion_post_processing"]], "sparknlp.common.coverage_result": [[480, "module-sparknlp.common.coverage_result"]], "sparknlp.common": [[481, "module-sparknlp.common"]], "sparknlp.common.match_strategy": [[482, "module-sparknlp.common.match_strategy"]], "sparknlp.common.properties": [[483, "module-sparknlp.common.properties"]], "sparknlp.common.read_as": [[484, "module-sparknlp.common.read_as"]], "sparknlp.common.recursive_annotator_approach": [[485, "module-sparknlp.common.recursive_annotator_approach"]], "sparknlp.common.storage": [[486, "module-sparknlp.common.storage"]], "sparknlp.common.utils": [[487, "module-sparknlp.common.utils"]], "sparknlp.functions": [[488, "module-sparknlp.functions"]], "Attributes": [[489, "attributes"], [496, "attributes"]], "sparknlp.internal.annotator_java_ml": [[490, "module-sparknlp.internal.annotator_java_ml"]], "sparknlp.internal.annotator_transformer": [[491, "module-sparknlp.internal.annotator_transformer"]], "sparknlp.internal.extended_java_wrapper": [[492, "module-sparknlp.internal.extended_java_wrapper"]], "sparknlp.internal": [[493, "module-sparknlp.internal"]], "sparknlp.internal.params_getters_setters": [[494, "module-sparknlp.internal.params_getters_setters"]], "sparknlp.internal.recursive": [[495, "module-sparknlp.internal.recursive"]], "sparknlp.logging.comet": [[496, "module-sparknlp.logging.comet"]], "sparknlp.logging": [[497, "module-sparknlp.logging"]], "sparknlp.partition": [[498, "module-sparknlp.partition"]], "sparknlp.partition.partition": [[499, "module-sparknlp.partition.partition"]], "sparknlp.partition.partition_properties": [[500, "module-sparknlp.partition.partition_properties"]], "sparknlp.partition.partition_transformer": [[501, "module-sparknlp.partition.partition_transformer"]], "sparknlp.pretrained": [[502, "module-sparknlp.pretrained"]], "sparknlp.pretrained.pretrained_pipeline": [[503, "module-sparknlp.pretrained.pretrained_pipeline"]], "sparknlp.pretrained.resource_downloader": [[504, "module-sparknlp.pretrained.resource_downloader"]], "sparknlp.pretrained.utils": [[505, "module-sparknlp.pretrained.utils"]], "sparknlp.reader.enums": [[506, "module-sparknlp.reader.enums"]], "sparknlp.reader": [[507, "module-sparknlp.reader"]], "sparknlp.reader.pdf_to_text": [[508, "module-sparknlp.reader.pdf_to_text"]], "sparknlp.reader.reader2doc": [[509, "module-sparknlp.reader.reader2doc"]], "sparknlp.reader.reader2image": [[510, "module-sparknlp.reader.reader2image"]], "sparknlp.reader.reader2table": [[511, "module-sparknlp.reader.reader2table"]], "sparknlp.reader.reader_assembler": [[512, "module-sparknlp.reader.reader_assembler"]], "sparknlp.reader.sparknlp_reader": [[513, "module-sparknlp.reader.sparknlp_reader"]], "sparknlp.training.conll": [[514, "module-sparknlp.training.conll"]], "sparknlp.training.conllu": [[515, "module-sparknlp.training.conllu"]], "sparknlp.training": [[516, "module-sparknlp.training"]], "sparknlp.training.pos": [[517, "module-sparknlp.training.pos"]], "sparknlp.training.pub_tator": [[518, "module-sparknlp.training.pub_tator"]], "sparknlp.training.spacy_to_annotation": [[519, "module-sparknlp.training.spacy_to_annotation"]], "sparknlp.training.tfgraphs": [[520, "module-sparknlp.training.tfgraphs"]], "sparknlp.upload_to_hub": [[521, "module-sparknlp.upload_to_hub"]], "sparknlp.util": [[522, "module-sparknlp.util"]], "API Reference": [[523, "api-reference"]], "Modules": [[523, "modules"]], "Comet - A meta machine learning platform": [[524, "comet-a-meta-machine-learning-platform"]], "Using Comet with Spark NLP": [[524, "using-comet-with-spark-nlp"]], "Logging Pipeline Parameters": [[524, "logging-pipeline-parameters"]], "Logging Evaluation Metrics": [[524, "logging-evaluation-metrics"]], "Logging Visualizations": [[524, "logging-visualizations"]], "Running An Offline Experiment": [[524, "running-an-offline-experiment"]], "MLflow - a platform for the machine learning lifecycle": [[525, "mlflow-a-platform-for-the-machine-learning-lifecycle"]], "Third Party Projects": [[526, "third-party-projects"]], "Logging": [[526, "logging"]], "Annotation": [[527, "annotation"]], "Annotators": [[528, "annotators"]], "Annotator Approaches": [[528, "annotator-approaches"]], "Annotator Models": [[528, "annotator-models"]], "Note": [[528, "note"]], "Pretrained Models": [[528, "pretrained-models"]], "Common Functions": [[528, "common-functions"]], "Available Annotators": [[528, "available-annotators"]], "Setting up your own pipeline": [[529, "setting-up-your-own-pipeline"]], "Annotator types": [[529, "annotator-types"]], "Necessary imports": [[529, "necessary-imports"]], "Constructing the Pipeline": [[529, "constructing-the-pipeline"]], "DocumentAssembler: Getting data in": [[529, "documentassembler-getting-data-in"]], "Sentence detection and tokenization": [[529, "sentence-detection-and-tokenization"]], "Finisher: Getting data out": [[529, "finisher-getting-data-out"]], "Putting it all together as a Spark ML Pipeline": [[529, "putting-it-all-together-as-a-spark-ml-pipeline"]], "Helper Functions": [[530, "helper-functions"]], "User Guide": [[531, "user-guide"]], "Light Pipelines": [[532, "light-pipelines"]], "Converting PipelineModels": [[532, "converting-pipelinemodels"]], "Pretrained Light Pipelines": [[532, "pretrained-light-pipelines"]], "Pretrained Pipelines": [[533, "pretrained-pipelines"]], "Downloading and using a pretrained pipeline": [[533, "downloading-and-using-a-pretrained-pipeline"]], "As a Spark ML Pipeline": [[533, "as-a-spark-ml-pipeline"]], "As a Spark NLP LightPipeline": [[533, "as-a-spark-nlp-lightpipeline"]], "Available Pipelines": [[533, "available-pipelines"]], "Loading datasets for training": [[534, "loading-datasets-for-training"]], "POS Dataset": [[534, "pos-dataset"]], "CoNLL Dataset": [[534, "conll-dataset"]], "CoNLLU Dataset": [[534, "conllu-dataset"]], "Spell Checkers Dataset": [[534, "spell-checkers-dataset"]], "PubTator Dataset": [[534, "pubtator-dataset"]]}, "indexentries": {"module": [[1, "module-sparknlp"], [2, "module-sparknlp.annotation"], [3, "module-sparknlp.annotation_audio"], [4, "module-sparknlp.annotation_image"], [5, "module-sparknlp.annotator"], [6, "module-sparknlp.annotator.audio"], [7, "module-sparknlp.annotator.audio.hubert_for_ctc"], [8, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"], [9, "module-sparknlp.annotator.audio.whisper_for_ctc"], [10, "module-sparknlp.annotator.chunk2_doc"], [11, "module-sparknlp.annotator.chunker"], [12, "module-sparknlp.annotator.classifier_dl"], [13, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"], [14, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"], [15, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"], [16, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"], [17, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"], [18, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"], [19, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"], [20, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"], [21, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"], [22, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"], [23, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"], [24, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"], [25, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"], [26, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"], [27, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"], [28, "module-sparknlp.annotator.classifier_dl.classifier_dl"], [29, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"], [30, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"], [31, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"], [32, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"], [33, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"], [34, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"], [35, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"], [36, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"], [37, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"], [38, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"], [39, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"], [40, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"], [41, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"], [42, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"], [43, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"], [44, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"], [45, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"], [46, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"], [47, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"], [48, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"], [49, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"], [50, "module-sparknlp.annotator.classifier_dl.sentiment_dl"], [51, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"], [52, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"], [53, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"], [54, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"], [55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"], [56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"], [57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"], [58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"], [59, "module-sparknlp.annotator.cleaners"], [60, "module-sparknlp.annotator.cleaners.cleaner"], [61, "module-sparknlp.annotator.cleaners.extractor"], [62, "module-sparknlp.annotator.coref"], [63, "module-sparknlp.annotator.coref.spanbert_coref"], [64, "module-sparknlp.annotator.cv"], [65, "module-sparknlp.annotator.cv.blip_for_question_answering"], [66, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"], [67, "module-sparknlp.annotator.cv.convnext_for_image_classification"], [68, "module-sparknlp.annotator.cv.florence2_transformer"], [69, "module-sparknlp.annotator.cv.gemma3_for_multimodal"], [70, "module-sparknlp.annotator.cv.internvl_for_multimodal"], [71, "module-sparknlp.annotator.cv.janus_for_multimodal"], [72, "module-sparknlp.annotator.cv.llava_for_multimodal"], [73, "module-sparknlp.annotator.cv.mllama_for_multimodal"], [74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"], [75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"], [76, "module-sparknlp.annotator.cv.qwen2vl_transformer"], [77, "module-sparknlp.annotator.cv.smolvlm_transformer"], [78, "module-sparknlp.annotator.cv.swin_for_image_classification"], [79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"], [80, "module-sparknlp.annotator.cv.vit_for_image_classification"], [81, "module-sparknlp.annotator.dataframe_optimizer"], [82, "module-sparknlp.annotator.date2_chunk"], [83, "module-sparknlp.annotator.dependency"], [84, "module-sparknlp.annotator.dependency.dependency_parser"], [85, "module-sparknlp.annotator.dependency.typed_dependency_parser"], [86, "module-sparknlp.annotator.document_character_text_splitter"], [87, "module-sparknlp.annotator.document_normalizer"], [88, "module-sparknlp.annotator.document_token_splitter"], [90, "module-sparknlp.annotator.embeddings"], [91, "module-sparknlp.annotator.embeddings.albert_embeddings"], [92, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"], [93, "module-sparknlp.annotator.embeddings.bert_embeddings"], [94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"], [95, "module-sparknlp.annotator.embeddings.bge_embeddings"], [96, "module-sparknlp.annotator.embeddings.camembert_embeddings"], [97, "module-sparknlp.annotator.embeddings.chunk_embeddings"], [98, "module-sparknlp.annotator.embeddings.deberta_embeddings"], [99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"], [100, "module-sparknlp.annotator.embeddings.doc2vec"], [101, "module-sparknlp.annotator.embeddings.e5_embeddings"], [102, "module-sparknlp.annotator.embeddings.e5v_embeddings"], [103, "module-sparknlp.annotator.embeddings.elmo_embeddings"], [104, "module-sparknlp.annotator.embeddings.instructor_embeddings"], [105, "module-sparknlp.annotator.embeddings.longformer_embeddings"], [106, "module-sparknlp.annotator.embeddings.minilm_embeddings"], [107, "module-sparknlp.annotator.embeddings.mpnet_embeddings"], [108, "module-sparknlp.annotator.embeddings.mxbai_embeddings"], [109, "module-sparknlp.annotator.embeddings.nomic_embeddings"], [110, "module-sparknlp.annotator.embeddings.roberta_embeddings"], [111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"], [112, "module-sparknlp.annotator.embeddings.sentence_embeddings"], [113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"], [114, "module-sparknlp.annotator.embeddings.uae_embeddings"], [115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"], [116, "module-sparknlp.annotator.embeddings.word2vec"], [117, "module-sparknlp.annotator.embeddings.word_embeddings"], [118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"], [119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"], [120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"], [121, "module-sparknlp.annotator.er"], [122, "module-sparknlp.annotator.er.entity_ruler"], [123, "module-sparknlp.annotator.graph_extraction"], [124, "module-sparknlp.annotator.keyword_extraction"], [125, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"], [126, "module-sparknlp.annotator.ld_dl"], [127, "module-sparknlp.annotator.ld_dl.language_detector_dl"], [128, "module-sparknlp.annotator.lemmatizer"], [129, "module-sparknlp.annotator.matcher"], [130, "module-sparknlp.annotator.matcher.big_text_matcher"], [131, "module-sparknlp.annotator.matcher.date_matcher"], [132, "module-sparknlp.annotator.matcher.multi_date_matcher"], [133, "module-sparknlp.annotator.matcher.regex_matcher"], [134, "module-sparknlp.annotator.matcher.text_matcher"], [135, "module-sparknlp.annotator.n_gram_generator"], [136, "module-sparknlp.annotator.ner"], [137, "module-sparknlp.annotator.ner.ner_approach"], [138, "module-sparknlp.annotator.ner.ner_converter"], [139, "module-sparknlp.annotator.ner.ner_crf"], [140, "module-sparknlp.annotator.ner.ner_dl"], [141, "module-sparknlp.annotator.ner.ner_dl_graph_checker"], [142, "module-sparknlp.annotator.ner.ner_overwriter"], [143, "module-sparknlp.annotator.ner.zero_shot_ner_model"], [144, "module-sparknlp.annotator.normalizer"], [145, "module-sparknlp.annotator.openai"], [146, "module-sparknlp.annotator.openai.openai_completion"], [147, "module-sparknlp.annotator.openai.openai_embeddings"], [148, "module-sparknlp.annotator.param"], [149, "module-sparknlp.annotator.param.classifier_encoder"], [150, "module-sparknlp.annotator.param.evaluation_dl_params"], [151, "module-sparknlp.annotator.pos"], [152, "module-sparknlp.annotator.pos.perceptron"], [153, "module-sparknlp.annotator.sentence"], [154, "module-sparknlp.annotator.sentence.sentence_detector"], [155, "module-sparknlp.annotator.sentence.sentence_detector_dl"], [156, "module-sparknlp.annotator.sentiment"], [157, "module-sparknlp.annotator.sentiment.sentiment_detector"], [158, "module-sparknlp.annotator.sentiment.vivekn_sentiment"], [159, "module-sparknlp.annotator.seq2seq"], [160, "module-sparknlp.annotator.seq2seq.auto_gguf_model"], [161, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"], [162, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"], [163, "module-sparknlp.annotator.seq2seq.bart_transformer"], [164, "module-sparknlp.annotator.seq2seq.cohere_transformer"], [165, "module-sparknlp.annotator.seq2seq.cpm_transformer"], [166, "module-sparknlp.annotator.seq2seq.gpt2_transformer"], [167, "module-sparknlp.annotator.seq2seq.llama2_transformer"], [168, "module-sparknlp.annotator.seq2seq.llama3_transformer"], [169, "module-sparknlp.annotator.seq2seq.m2m100_transformer"], [170, "module-sparknlp.annotator.seq2seq.marian_transformer"], [171, "module-sparknlp.annotator.seq2seq.mistral_transformer"], [172, "module-sparknlp.annotator.seq2seq.nllb_transformer"], [173, "module-sparknlp.annotator.seq2seq.olmo_transformer"], [174, "module-sparknlp.annotator.seq2seq.phi2_transformer"], [175, "module-sparknlp.annotator.seq2seq.phi3_transformer"], [176, "module-sparknlp.annotator.seq2seq.phi4_transformer"], [177, "module-sparknlp.annotator.seq2seq.qwen_transformer"], [178, "module-sparknlp.annotator.seq2seq.starcoder_transformer"], [179, "module-sparknlp.annotator.seq2seq.t5_transformer"], [180, "module-sparknlp.annotator.similarity"], [181, "module-sparknlp.annotator.similarity.document_similarity_ranker"], [182, "module-sparknlp.annotator.spell_check"], [183, "module-sparknlp.annotator.spell_check.context_spell_checker"], [184, "module-sparknlp.annotator.spell_check.norvig_sweeting"], [185, "module-sparknlp.annotator.spell_check.symmetric_delete"], [186, "module-sparknlp.annotator.stemmer"], [187, "module-sparknlp.annotator.stop_words_cleaner"], [188, "module-sparknlp.annotator.tf_ner_dl_graph_builder"], [189, "module-sparknlp.annotator.token"], [190, "module-sparknlp.annotator.token.chunk_tokenizer"], [191, "module-sparknlp.annotator.token.recursive_tokenizer"], [192, "module-sparknlp.annotator.token.regex_tokenizer"], [193, "module-sparknlp.annotator.token.tokenizer"], [194, "module-sparknlp.annotator.token2_chunk"], [195, "module-sparknlp.annotator.ws"], [196, "module-sparknlp.annotator.ws.word_segmenter"], [197, "module-sparknlp.base"], [198, "module-sparknlp.base.audio_assembler"], [199, "module-sparknlp.base.doc2_chunk"], [200, "module-sparknlp.base.document_assembler"], [201, "module-sparknlp.base.embeddings_finisher"], [202, "module-sparknlp.base.finisher"], [203, "module-sparknlp.base.gguf_ranking_finisher"], [204, "module-sparknlp.base.graph_finisher"], [205, "module-sparknlp.base.has_recursive_fit"], [206, "module-sparknlp.base.has_recursive_transform"], [207, "module-sparknlp.base.image_assembler"], [208, "module-sparknlp.base.light_pipeline"], [209, "module-sparknlp.base.multi_document_assembler"], [210, "module-sparknlp.base.prompt_assembler"], [211, "module-sparknlp.base.recursive_pipeline"], [212, "module-sparknlp.base.table_assembler"], [213, "module-sparknlp.base.token_assembler"], [214, "module-sparknlp.common"], [215, "module-sparknlp.common.annotator_approach"], [216, "module-sparknlp.common.annotator_model"], [217, "module-sparknlp.common.annotator_properties"], [218, "module-sparknlp.common.annotator_type"], [219, "module-sparknlp.common.completion_post_processing"], [220, "module-sparknlp.common.coverage_result"], [221, "module-sparknlp.common.match_strategy"], [222, "module-sparknlp.common.properties"], [223, "module-sparknlp.common.read_as"], [224, "module-sparknlp.common.recursive_annotator_approach"], [225, "module-sparknlp.common.storage"], [226, "module-sparknlp.common.utils"], [227, "module-sparknlp.functions"], [228, "module-sparknlp.internal"], [229, "module-sparknlp.internal.annotator_java_ml"], [230, "module-sparknlp.internal.annotator_transformer"], [231, "module-sparknlp.internal.extended_java_wrapper"], [232, "module-sparknlp.internal.params_getters_setters"], [233, "module-sparknlp.internal.recursive"], [234, "module-sparknlp.logging"], [235, "module-sparknlp.logging.comet"], [236, "module-sparknlp.partition"], [237, "module-sparknlp.partition.partition"], [238, "module-sparknlp.partition.partition_properties"], [239, "module-sparknlp.partition.partition_transformer"], [240, "module-sparknlp.pretrained"], [241, "module-sparknlp.pretrained.pretrained_pipeline"], [242, "module-sparknlp.pretrained.resource_downloader"], [243, "module-sparknlp.pretrained.utils"], [244, "module-sparknlp.reader"], [245, "module-sparknlp.reader.enums"], [246, "module-sparknlp.reader.pdf_to_text"], [247, "module-sparknlp.reader.reader2doc"], [248, "module-sparknlp.reader.reader2image"], [249, "module-sparknlp.reader.reader2table"], [250, "module-sparknlp.reader.reader_assembler"], [251, "module-sparknlp.reader.sparknlp_reader"], [252, "module-sparknlp.training"], [253, "module-sparknlp.training.conll"], [254, "module-sparknlp.training.conllu"], [255, "module-sparknlp.training.pos"], [256, "module-sparknlp.training.pub_tator"], [257, "module-sparknlp.training.spacy_to_annotation"], [259, "module-sparknlp.upload_to_hub"], [260, "module-sparknlp.util"], [263, "module-sparknlp.annotation"], [264, "module-sparknlp.annotation_audio"], [265, "module-sparknlp.annotation_image"], [266, "module-sparknlp.annotator.audio.hubert_for_ctc"], [267, "module-sparknlp.annotator.audio"], [268, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"], [269, "module-sparknlp.annotator.audio.whisper_for_ctc"], [270, "module-sparknlp.annotator.chunk2_doc"], [271, "module-sparknlp.annotator.chunker"], [272, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"], [273, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"], [274, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"], [275, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"], [276, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"], [277, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"], [278, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"], [279, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"], [280, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"], [281, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"], [282, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"], [283, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"], [284, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"], [285, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"], [286, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"], [287, "module-sparknlp.annotator.classifier_dl.classifier_dl"], [288, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"], [289, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"], [290, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"], [291, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"], [292, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"], [293, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"], [294, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"], [295, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"], [296, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"], [297, "module-sparknlp.annotator.classifier_dl"], [298, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"], [299, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"], [300, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"], [301, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"], [302, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"], [303, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"], [304, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"], [305, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"], [306, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"], [307, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"], [308, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"], [309, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"], [310, "module-sparknlp.annotator.classifier_dl.sentiment_dl"], [311, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"], [312, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"], [313, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"], [314, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"], [315, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"], [316, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"], [317, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"], [318, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"], [319, "module-sparknlp.annotator.cleaners.cleaner"], [320, "module-sparknlp.annotator.cleaners.extractor"], [321, "module-sparknlp.annotator.cleaners"], [322, "module-sparknlp.annotator.coref"], [323, "module-sparknlp.annotator.coref.spanbert_coref"], [324, "module-sparknlp.annotator.cv.blip_for_question_answering"], [325, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"], [326, "module-sparknlp.annotator.cv.convnext_for_image_classification"], [327, "module-sparknlp.annotator.cv.florence2_transformer"], [328, "module-sparknlp.annotator.cv.gemma3_for_multimodal"], [329, "module-sparknlp.annotator.cv"], [330, "module-sparknlp.annotator.cv.internvl_for_multimodal"], [331, "module-sparknlp.annotator.cv.janus_for_multimodal"], [332, "module-sparknlp.annotator.cv.llava_for_multimodal"], [333, "module-sparknlp.annotator.cv.mllama_for_multimodal"], [334, "module-sparknlp.annotator.cv.paligemma_for_multimodal"], [335, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"], [336, "module-sparknlp.annotator.cv.qwen2vl_transformer"], [337, "module-sparknlp.annotator.cv.smolvlm_transformer"], [338, "module-sparknlp.annotator.cv.swin_for_image_classification"], [339, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"], [340, "module-sparknlp.annotator.cv.vit_for_image_classification"], [341, "module-sparknlp.annotator.dataframe_optimizer"], [342, "module-sparknlp.annotator.date2_chunk"], [343, "module-sparknlp.annotator.dependency.dependency_parser"], [344, "module-sparknlp.annotator.dependency"], [345, "module-sparknlp.annotator.dependency.typed_dependency_parser"], [346, "module-sparknlp.annotator.document_character_text_splitter"], [347, "module-sparknlp.annotator.document_normalizer"], [348, "module-sparknlp.annotator.document_token_splitter"], [349, "module-sparknlp.annotator.document_token_splitter_test"], [350, "module-sparknlp.annotator.embeddings.albert_embeddings"], [351, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"], [352, "module-sparknlp.annotator.embeddings.bert_embeddings"], [353, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"], [354, "module-sparknlp.annotator.embeddings.bge_embeddings"], [355, "module-sparknlp.annotator.embeddings.camembert_embeddings"], [356, "module-sparknlp.annotator.embeddings.chunk_embeddings"], [357, "module-sparknlp.annotator.embeddings.deberta_embeddings"], [358, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"], [359, "module-sparknlp.annotator.embeddings.doc2vec"], [360, "module-sparknlp.annotator.embeddings.e5_embeddings"], [361, "module-sparknlp.annotator.embeddings.e5v_embeddings"], [362, "module-sparknlp.annotator.embeddings.elmo_embeddings"], [363, "module-sparknlp.annotator.embeddings"], [364, "module-sparknlp.annotator.embeddings.instructor_embeddings"], [365, "module-sparknlp.annotator.embeddings.longformer_embeddings"], [366, "module-sparknlp.annotator.embeddings.minilm_embeddings"], [367, "module-sparknlp.annotator.embeddings.mpnet_embeddings"], [368, "module-sparknlp.annotator.embeddings.mxbai_embeddings"], [369, "module-sparknlp.annotator.embeddings.nomic_embeddings"], [370, "module-sparknlp.annotator.embeddings.roberta_embeddings"], [371, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"], [372, "module-sparknlp.annotator.embeddings.sentence_embeddings"], [373, "module-sparknlp.annotator.embeddings.snowflake_embeddings"], [374, "module-sparknlp.annotator.embeddings.uae_embeddings"], [375, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"], [376, "module-sparknlp.annotator.embeddings.word2vec"], [377, "module-sparknlp.annotator.embeddings.word_embeddings"], [378, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"], [379, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"], [380, "module-sparknlp.annotator.embeddings.xlnet_embeddings"], [381, "module-sparknlp.annotator.er.entity_ruler"], [382, "module-sparknlp.annotator.er"], [383, "module-sparknlp.annotator.graph_extraction"], [384, "module-sparknlp.annotator"], [385, "module-sparknlp.annotator.keyword_extraction"], [386, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"], [387, "module-sparknlp.annotator.ld_dl"], [388, "module-sparknlp.annotator.ld_dl.language_detector_dl"], [389, "module-sparknlp.annotator.lemmatizer"], [390, "module-sparknlp.annotator.matcher.big_text_matcher"], [391, "module-sparknlp.annotator.matcher.date_matcher"], [392, "module-sparknlp.annotator.matcher"], [393, "module-sparknlp.annotator.matcher.multi_date_matcher"], [394, "module-sparknlp.annotator.matcher.regex_matcher"], [395, "module-sparknlp.annotator.matcher.text_matcher"], [396, "module-sparknlp.annotator.n_gram_generator"], [397, "module-sparknlp.annotator.ner"], [398, "module-sparknlp.annotator.ner.ner_approach"], [399, "module-sparknlp.annotator.ner.ner_converter"], [400, "module-sparknlp.annotator.ner.ner_crf"], [401, "module-sparknlp.annotator.ner.ner_dl"], [402, "module-sparknlp.annotator.ner.ner_dl_graph_checker"], [403, "module-sparknlp.annotator.ner.ner_overwriter"], [404, "module-sparknlp.annotator.ner.zero_shot_ner_model"], [405, "module-sparknlp.annotator.normalizer"], [406, "module-sparknlp.annotator.openai"], [407, "module-sparknlp.annotator.openai.openai_completion"], [408, "module-sparknlp.annotator.openai.openai_embeddings"], [409, "module-sparknlp.annotator.param.classifier_encoder"], [410, "module-sparknlp.annotator.param.evaluation_dl_params"], [411, "module-sparknlp.annotator.param"], [412, "module-sparknlp.annotator.pos"], [413, "module-sparknlp.annotator.pos.perceptron"], [414, "module-sparknlp.annotator.sentence"], [415, "module-sparknlp.annotator.sentence.sentence_detector"], [416, "module-sparknlp.annotator.sentence.sentence_detector_dl"], [417, "module-sparknlp.annotator.sentiment"], [418, "module-sparknlp.annotator.sentiment.sentiment_detector"], [419, "module-sparknlp.annotator.sentiment.vivekn_sentiment"], [420, "module-sparknlp.annotator.seq2seq.auto_gguf_model"], [421, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"], [422, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"], [423, "module-sparknlp.annotator.seq2seq.bart_transformer"], [424, "module-sparknlp.annotator.seq2seq.cohere_transformer"], [425, "module-sparknlp.annotator.seq2seq.cpm_transformer"], [426, "module-sparknlp.annotator.seq2seq.gpt2_transformer"], [427, "module-sparknlp.annotator.seq2seq"], [428, "module-sparknlp.annotator.seq2seq.llama2_transformer"], [429, "module-sparknlp.annotator.seq2seq.llama3_transformer"], [430, "module-sparknlp.annotator.seq2seq.m2m100_transformer"], [431, "module-sparknlp.annotator.seq2seq.marian_transformer"], [432, "module-sparknlp.annotator.seq2seq.mistral_transformer"], [433, "module-sparknlp.annotator.seq2seq.nllb_transformer"], [434, "module-sparknlp.annotator.seq2seq.olmo_transformer"], [435, "module-sparknlp.annotator.seq2seq.phi2_transformer"], [436, "module-sparknlp.annotator.seq2seq.phi3_transformer"], [437, "module-sparknlp.annotator.seq2seq.phi4_transformer"], [438, "module-sparknlp.annotator.seq2seq.qwen_transformer"], [439, "module-sparknlp.annotator.seq2seq.starcoder_transformer"], [440, "module-sparknlp.annotator.seq2seq.t5_transformer"], [441, "module-sparknlp.annotator.similarity.document_similarity_ranker"], [442, "module-sparknlp.annotator.similarity"], [443, "module-sparknlp.annotator.spell_check.context_spell_checker"], [444, "module-sparknlp.annotator.spell_check"], [445, "module-sparknlp.annotator.spell_check.norvig_sweeting"], [446, "module-sparknlp.annotator.spell_check.symmetric_delete"], [447, "module-sparknlp.annotator.stemmer"], [448, "module-sparknlp.annotator.stop_words_cleaner"], [449, "module-sparknlp.annotator.tf_ner_dl_graph_builder"], [450, "module-sparknlp.annotator.token.chunk_tokenizer"], [451, "module-sparknlp.annotator.token"], [452, "module-sparknlp.annotator.token.recursive_tokenizer"], [453, "module-sparknlp.annotator.token.regex_tokenizer"], [454, "module-sparknlp.annotator.token.tokenizer"], [455, "module-sparknlp.annotator.token2_chunk"], [456, "module-sparknlp.annotator.ws"], [457, "module-sparknlp.annotator.ws.word_segmenter"], [458, "module-sparknlp.base.audio_assembler"], [459, "module-sparknlp.base.doc2_chunk"], [460, "module-sparknlp.base.document_assembler"], [461, "module-sparknlp.base.embeddings_finisher"], [462, "module-sparknlp.base.finisher"], [463, "module-sparknlp.base.gguf_ranking_finisher"], [464, "module-sparknlp.base.graph_finisher"], [465, "module-sparknlp.base.has_recursive_fit"], [466, "module-sparknlp.base.has_recursive_transform"], [467, "module-sparknlp.base.image_assembler"], [468, "module-sparknlp.base"], [469, "module-sparknlp.base.light_pipeline"], [470, "module-sparknlp.base.multi_document_assembler"], [471, "module-sparknlp.base.prompt_assembler"], [472, "module-sparknlp.base.recursive_pipeline"], [473, "module-sparknlp.base.table_assembler"], [474, "module-sparknlp.base.token_assembler"], [475, "module-sparknlp.common.annotator_approach"], [476, "module-sparknlp.common.annotator_model"], [477, "module-sparknlp.common.annotator_properties"], [478, "module-sparknlp.common.annotator_type"], [479, "module-sparknlp.common.completion_post_processing"], [480, "module-sparknlp.common.coverage_result"], [481, "module-sparknlp.common"], [482, "module-sparknlp.common.match_strategy"], [483, "module-sparknlp.common.properties"], [484, "module-sparknlp.common.read_as"], [485, "module-sparknlp.common.recursive_annotator_approach"], [486, "module-sparknlp.common.storage"], [487, "module-sparknlp.common.utils"], [488, "module-sparknlp.functions"], [489, "module-sparknlp"], [490, "module-sparknlp.internal.annotator_java_ml"], [491, "module-sparknlp.internal.annotator_transformer"], [492, "module-sparknlp.internal.extended_java_wrapper"], [493, "module-sparknlp.internal"], [494, "module-sparknlp.internal.params_getters_setters"], [495, "module-sparknlp.internal.recursive"], [496, "module-sparknlp.logging.comet"], [497, "module-sparknlp.logging"], [498, "module-sparknlp.partition"], [499, "module-sparknlp.partition.partition"], [500, "module-sparknlp.partition.partition_properties"], [501, "module-sparknlp.partition.partition_transformer"], [502, "module-sparknlp.pretrained"], [503, "module-sparknlp.pretrained.pretrained_pipeline"], [504, "module-sparknlp.pretrained.resource_downloader"], [505, "module-sparknlp.pretrained.utils"], [506, "module-sparknlp.reader.enums"], [507, "module-sparknlp.reader"], [508, "module-sparknlp.reader.pdf_to_text"], [509, "module-sparknlp.reader.reader2doc"], [510, "module-sparknlp.reader.reader2image"], [511, "module-sparknlp.reader.reader2table"], [512, "module-sparknlp.reader.reader_assembler"], [513, "module-sparknlp.reader.sparknlp_reader"], [514, "module-sparknlp.training.conll"], [515, "module-sparknlp.training.conllu"], [516, "module-sparknlp.training"], [517, "module-sparknlp.training.pos"], [518, "module-sparknlp.training.pub_tator"], [519, "module-sparknlp.training.spacy_to_annotation"], [520, "module-sparknlp.training.tfgraphs"], [521, "module-sparknlp.upload_to_hub"], [522, "module-sparknlp.util"]], "read() (in module sparknlp)": [[1, "sparknlp.read"], [489, "sparknlp.read"]], "sparknlp": [[1, "module-sparknlp"], [489, "module-sparknlp"]], "start() (in module sparknlp)": [[1, "sparknlp.start"], [489, "sparknlp.start"]], "version() (in module sparknlp)": [[1, "sparknlp.version"], [489, "sparknlp.version"]], "annotation (class in sparknlp.annotation)": [[2, "sparknlp.annotation.Annotation"], [263, "sparknlp.annotation.Annotation"]], "arraytype() (annotation static method)": [[2, "sparknlp.annotation.Annotation.arrayType"], [263, "sparknlp.annotation.Annotation.arrayType"]], "copy() (annotation method)": [[2, "sparknlp.annotation.Annotation.copy"], [263, "sparknlp.annotation.Annotation.copy"]], "datatype() (annotation static method)": [[2, "sparknlp.annotation.Annotation.dataType"], [263, "sparknlp.annotation.Annotation.dataType"]], "fromrow() (annotation static method)": [[2, "sparknlp.annotation.Annotation.fromRow"], [263, "sparknlp.annotation.Annotation.fromRow"]], "sparknlp.annotation": [[2, "module-sparknlp.annotation"], [263, "module-sparknlp.annotation"]], "torow() (annotation static method)": [[2, "sparknlp.annotation.Annotation.toRow"], [263, "sparknlp.annotation.Annotation.toRow"]], "annotationaudio (class in sparknlp.annotation_audio)": [[3, "sparknlp.annotation_audio.AnnotationAudio"], [264, "sparknlp.annotation_audio.AnnotationAudio"]], "copy() (annotationaudio method)": [[3, "sparknlp.annotation_audio.AnnotationAudio.copy"], [264, "sparknlp.annotation_audio.AnnotationAudio.copy"]], "sparknlp.annotation_audio": [[3, "module-sparknlp.annotation_audio"], [264, "module-sparknlp.annotation_audio"]], "annotationimage (class in sparknlp.annotation_image)": [[4, "sparknlp.annotation_image.AnnotationImage"], [265, "sparknlp.annotation_image.AnnotationImage"]], "copy() (annotationimage method)": [[4, "sparknlp.annotation_image.AnnotationImage.copy"], [265, "sparknlp.annotation_image.AnnotationImage.copy"]], "sparknlp.annotation_image": [[4, "module-sparknlp.annotation_image"], [265, "module-sparknlp.annotation_image"]], "sparknlp.annotator": [[5, "module-sparknlp.annotator"], [384, "module-sparknlp.annotator"]], "sparknlp.annotator.audio": [[6, "module-sparknlp.annotator.audio"], [267, "module-sparknlp.annotator.audio"]], "hubertforctc (class in sparknlp.annotator.audio.hubert_for_ctc)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC"]], "configprotobytes (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.configProtoBytes"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.configProtoBytes"]], "inputannotatortypes (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.inputAnnotatorTypes"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.inputAnnotatorTypes"]], "loadsavedmodel() (hubertforctc static method)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.loadSavedModel"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.loadSavedModel"]], "name (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.name"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.name"]], "outputannotatortype (hubertforctc attribute)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.outputAnnotatorType"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.outputAnnotatorType"]], "pretrained() (hubertforctc static method)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.pretrained"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.pretrained"]], "setconfigprotobytes() (hubertforctc method)": [[7, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.setConfigProtoBytes"], [266, "sparknlp.annotator.audio.hubert_for_ctc.HubertForCTC.setConfigProtoBytes"]], "sparknlp.annotator.audio.hubert_for_ctc": [[7, "module-sparknlp.annotator.audio.hubert_for_ctc"], [266, "module-sparknlp.annotator.audio.hubert_for_ctc"]], "wav2vec2forctc (class in sparknlp.annotator.audio.wav2vec2_for_ctc)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC"]], "configprotobytes (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.configProtoBytes"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.configProtoBytes"]], "inputannotatortypes (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.inputAnnotatorTypes"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.inputAnnotatorTypes"]], "loadsavedmodel() (wav2vec2forctc static method)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.loadSavedModel"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.loadSavedModel"]], "name (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.name"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.name"]], "outputannotatortype (wav2vec2forctc attribute)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.outputAnnotatorType"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.outputAnnotatorType"]], "pretrained() (wav2vec2forctc static method)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.pretrained"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.pretrained"]], "setconfigprotobytes() (wav2vec2forctc method)": [[8, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.setConfigProtoBytes"], [268, "sparknlp.annotator.audio.wav2vec2_for_ctc.Wav2Vec2ForCTC.setConfigProtoBytes"]], "sparknlp.annotator.audio.wav2vec2_for_ctc": [[8, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"], [268, "module-sparknlp.annotator.audio.wav2vec2_for_ctc"]], "whisperforctc (class in sparknlp.annotator.audio.whisper_for_ctc)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC"]], "configprotobytes (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.configProtoBytes"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.configProtoBytes"]], "getismultilingual() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getIsMultilingual"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getIsMultilingual"]], "getlanguage() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getLanguage"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.getLanguage"]], "inputannotatortypes (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.inputAnnotatorTypes"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.inputAnnotatorTypes"]], "ismultilingual (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.isMultilingual"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.isMultilingual"]], "language (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.language"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.language"]], "loadsavedmodel() (whisperforctc static method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.loadSavedModel"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.loadSavedModel"]], "name (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.name"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.name"]], "outputannotatortype (whisperforctc attribute)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.outputAnnotatorType"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.outputAnnotatorType"]], "pretrained() (whisperforctc static method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.pretrained"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.pretrained"]], "setconfigprotobytes() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setConfigProtoBytes"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setConfigProtoBytes"]], "setlanguage() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setLanguage"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setLanguage"]], "settask() (whisperforctc method)": [[9, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setTask"], [269, "sparknlp.annotator.audio.whisper_for_ctc.WhisperForCTC.setTask"]], "sparknlp.annotator.audio.whisper_for_ctc": [[9, "module-sparknlp.annotator.audio.whisper_for_ctc"], [269, "module-sparknlp.annotator.audio.whisper_for_ctc"]], "chunk2doc (class in sparknlp.annotator.chunk2_doc)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc"], [270, "sparknlp.annotator.chunk2_doc.Chunk2Doc"]], "inputannotatortypes (chunk2doc attribute)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.inputAnnotatorTypes"], [270, "sparknlp.annotator.chunk2_doc.Chunk2Doc.inputAnnotatorTypes"]], "name (chunk2doc attribute)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.name"], [270, "sparknlp.annotator.chunk2_doc.Chunk2Doc.name"]], "outputannotatortype (chunk2doc attribute)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.outputAnnotatorType"], [270, "sparknlp.annotator.chunk2_doc.Chunk2Doc.outputAnnotatorType"]], "setparams() (chunk2doc method)": [[10, "sparknlp.annotator.chunk2_doc.Chunk2Doc.setParams"], [270, "sparknlp.annotator.chunk2_doc.Chunk2Doc.setParams"]], "sparknlp.annotator.chunk2_doc": [[10, "module-sparknlp.annotator.chunk2_doc"], [270, "module-sparknlp.annotator.chunk2_doc"]], "chunker (class in sparknlp.annotator.chunker)": [[11, "sparknlp.annotator.chunker.Chunker"], [271, "sparknlp.annotator.chunker.Chunker"]], "inputannotatortypes (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.inputAnnotatorTypes"], [271, "sparknlp.annotator.chunker.Chunker.inputAnnotatorTypes"]], "name (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.name"], [271, "sparknlp.annotator.chunker.Chunker.name"]], "outputannotatortype (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.outputAnnotatorType"], [271, "sparknlp.annotator.chunker.Chunker.outputAnnotatorType"]], "regexparsers (chunker attribute)": [[11, "sparknlp.annotator.chunker.Chunker.regexParsers"], [271, "sparknlp.annotator.chunker.Chunker.regexParsers"]], "setregexparsers() (chunker method)": [[11, "sparknlp.annotator.chunker.Chunker.setRegexParsers"], [271, "sparknlp.annotator.chunker.Chunker.setRegexParsers"]], "sparknlp.annotator.chunker": [[11, "module-sparknlp.annotator.chunker"], [271, "module-sparknlp.annotator.chunker"]], "sparknlp.annotator.classifier_dl": [[12, "module-sparknlp.annotator.classifier_dl"], [297, "module-sparknlp.annotator.classifier_dl"]], "albertformultiplechoice (class in sparknlp.annotator.classifier_dl.albert_for_multiple_choice)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice"]], "choicesdelimiter (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.choicesDelimiter"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.inputAnnotatorTypes"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (albertformultiplechoice static method)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.loadSavedModel"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.loadSavedModel"]], "name (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.name"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.name"]], "outputannotatortype (albertformultiplechoice attribute)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.outputAnnotatorType"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.outputAnnotatorType"]], "pretrained() (albertformultiplechoice static method)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.pretrained"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.pretrained"]], "setchoicesdelimiter() (albertformultiplechoice method)": [[13, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.setChoicesDelimiter"], [272, "sparknlp.annotator.classifier_dl.albert_for_multiple_choice.AlbertForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.albert_for_multiple_choice": [[13, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"], [272, "module-sparknlp.annotator.classifier_dl.albert_for_multiple_choice"]], "albertforquestionanswering (class in sparknlp.annotator.classifier_dl.albert_for_question_answering)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering"]], "coalescesentences (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.coalesceSentences"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.coalesceSentences"]], "configprotobytes (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.configProtoBytes"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.inputAnnotatorTypes"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (albertforquestionanswering static method)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.loadSavedModel"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.loadSavedModel"]], "name (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.name"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.name"]], "outputannotatortype (albertforquestionanswering attribute)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.outputAnnotatorType"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (albertforquestionanswering static method)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.pretrained"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (albertforquestionanswering method)": [[14, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.setConfigProtoBytes"], [273, "sparknlp.annotator.classifier_dl.albert_for_question_answering.AlbertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_question_answering": [[14, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"], [273, "module-sparknlp.annotator.classifier_dl.albert_for_question_answering"]], "albertforsequenceclassification (class in sparknlp.annotator.classifier_dl.albert_for_sequence_classification)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification"]], "coalescesentences (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.coalesceSentences"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.coalesceSentences"]], "configprotobytes (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.configProtoBytes"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.configProtoBytes"]], "getclasses() (albertforsequenceclassification method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.getClasses"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.getClasses"]], "inputannotatortypes (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.inputAnnotatorTypes"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (albertforsequenceclassification static method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.loadSavedModel"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.loadSavedModel"]], "name (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.name"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.name"]], "outputannotatortype (albertforsequenceclassification attribute)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.outputAnnotatorType"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.outputAnnotatorType"]], "pretrained() (albertforsequenceclassification static method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.pretrained"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.pretrained"]], "setcoalescesentences() (albertforsequenceclassification method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setCoalesceSentences"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (albertforsequenceclassification method)": [[15, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setConfigProtoBytes"], [274, "sparknlp.annotator.classifier_dl.albert_for_sequence_classification.AlbertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_sequence_classification": [[15, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"], [274, "module-sparknlp.annotator.classifier_dl.albert_for_sequence_classification"]], "albertfortokenclassification (class in sparknlp.annotator.classifier_dl.albert_for_token_classification)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification"]], "configprotobytes (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.configProtoBytes"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.configProtoBytes"]], "getclasses() (albertfortokenclassification method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.getClasses"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.getClasses"]], "inputannotatortypes (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.inputAnnotatorTypes"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (albertfortokenclassification static method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.loadSavedModel"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.loadSavedModel"]], "name (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.name"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.name"]], "outputannotatortype (albertfortokenclassification attribute)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.outputAnnotatorType"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.outputAnnotatorType"]], "pretrained() (albertfortokenclassification static method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.pretrained"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.pretrained"]], "setconfigprotobytes() (albertfortokenclassification method)": [[16, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.setConfigProtoBytes"], [275, "sparknlp.annotator.classifier_dl.albert_for_token_classification.AlbertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_token_classification": [[16, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"], [275, "module-sparknlp.annotator.classifier_dl.albert_for_token_classification"]], "albertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification"]], "coalescesentences (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.coalesceSentences"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.coalesceSentences"]], "configprotobytes (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.configProtoBytes"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.configProtoBytes"]], "getclasses() (albertforzeroshotclassification method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.getClasses"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.getClasses"]], "inputannotatortypes (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.inputAnnotatorTypes"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (albertforzeroshotclassification static method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.loadSavedModel"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.loadSavedModel"]], "name (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.name"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.name"]], "outputannotatortype (albertforzeroshotclassification attribute)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.outputAnnotatorType"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (albertforzeroshotclassification static method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.pretrained"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.pretrained"]], "setcoalescesentences() (albertforzeroshotclassification method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setCoalesceSentences"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (albertforzeroshotclassification method)": [[17, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setConfigProtoBytes"], [276, "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification.AlbertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification": [[17, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"], [276, "module-sparknlp.annotator.classifier_dl.albert_for_zero_shot_classification"]], "bartforzeroshotclassification (class in sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification"]], "coalescesentences (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.coalesceSentences"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.coalesceSentences"]], "configprotobytes (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.configProtoBytes"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.configProtoBytes"]], "getclasses() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.getClasses"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.getClasses"]], "inputannotatortypes (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.inputAnnotatorTypes"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bartforzeroshotclassification static method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.loadSavedModel"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.loadSavedModel"]], "maxsentencelength (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.maxSentenceLength"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.maxSentenceLength"]], "name (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.name"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.name"]], "outputannotatortype (bartforzeroshotclassification attribute)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.outputAnnotatorType"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.outputAnnotatorType"]], "pretrained() (bartforzeroshotclassification static method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.pretrained"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.pretrained"]], "setcoalescesentences() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setCoalesceSentences"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setConfigProtoBytes"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setConfigProtoBytes"]], "setmaxsentencelength() (bartforzeroshotclassification method)": [[18, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setMaxSentenceLength"], [277, "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification.BartForZeroShotClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification": [[18, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"], [277, "module-sparknlp.annotator.classifier_dl.bart_for_zero_shot_classification"]], "bertformultiplechoice (class in sparknlp.annotator.classifier_dl.bert_for_multiple_choice)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice"]], "choicesdelimiter (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.choicesDelimiter"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.inputAnnotatorTypes"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (bertformultiplechoice static method)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.loadSavedModel"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.loadSavedModel"]], "name (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.name"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.name"]], "outputannotatortype (bertformultiplechoice attribute)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.outputAnnotatorType"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.outputAnnotatorType"]], "pretrained() (bertformultiplechoice static method)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.pretrained"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.pretrained"]], "setchoicesdelimiter() (bertformultiplechoice method)": [[19, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.setChoicesDelimiter"], [278, "sparknlp.annotator.classifier_dl.bert_for_multiple_choice.BertForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.bert_for_multiple_choice": [[19, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"], [278, "module-sparknlp.annotator.classifier_dl.bert_for_multiple_choice"]], "bertforquestionanswering (class in sparknlp.annotator.classifier_dl.bert_for_question_answering)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering"]], "coalescesentences (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.coalesceSentences"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.coalesceSentences"]], "configprotobytes (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.configProtoBytes"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.inputAnnotatorTypes"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (bertforquestionanswering static method)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.loadSavedModel"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.loadSavedModel"]], "name (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.name"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.name"]], "outputannotatortype (bertforquestionanswering attribute)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.outputAnnotatorType"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (bertforquestionanswering static method)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.pretrained"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (bertforquestionanswering method)": [[20, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.setConfigProtoBytes"], [279, "sparknlp.annotator.classifier_dl.bert_for_question_answering.BertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_question_answering": [[20, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"], [279, "module-sparknlp.annotator.classifier_dl.bert_for_question_answering"]], "bertforsequenceclassification (class in sparknlp.annotator.classifier_dl.bert_for_sequence_classification)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification"]], "coalescesentences (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.coalesceSentences"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.coalesceSentences"]], "configprotobytes (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.configProtoBytes"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.configProtoBytes"]], "getclasses() (bertforsequenceclassification method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.getClasses"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.getClasses"]], "inputannotatortypes (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.inputAnnotatorTypes"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bertforsequenceclassification static method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.loadSavedModel"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.loadSavedModel"]], "name (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.name"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.name"]], "outputannotatortype (bertforsequenceclassification attribute)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.outputAnnotatorType"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.outputAnnotatorType"]], "pretrained() (bertforsequenceclassification static method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.pretrained"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.pretrained"]], "setcoalescesentences() (bertforsequenceclassification method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setCoalesceSentences"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (bertforsequenceclassification method)": [[21, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setConfigProtoBytes"], [280, "sparknlp.annotator.classifier_dl.bert_for_sequence_classification.BertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_sequence_classification": [[21, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"], [280, "module-sparknlp.annotator.classifier_dl.bert_for_sequence_classification"]], "bertfortokenclassification (class in sparknlp.annotator.classifier_dl.bert_for_token_classification)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification"]], "configprotobytes (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.configProtoBytes"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.configProtoBytes"]], "getclasses() (bertfortokenclassification method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.getClasses"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.getClasses"]], "inputannotatortypes (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.inputAnnotatorTypes"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bertfortokenclassification static method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.loadSavedModel"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.loadSavedModel"]], "name (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.name"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.name"]], "outputannotatortype (bertfortokenclassification attribute)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.outputAnnotatorType"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.outputAnnotatorType"]], "pretrained() (bertfortokenclassification static method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.pretrained"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.pretrained"]], "setconfigprotobytes() (bertfortokenclassification method)": [[22, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.setConfigProtoBytes"], [281, "sparknlp.annotator.classifier_dl.bert_for_token_classification.BertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_token_classification": [[22, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"], [281, "module-sparknlp.annotator.classifier_dl.bert_for_token_classification"]], "bertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification"]], "coalescesentences (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.coalesceSentences"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.coalesceSentences"]], "configprotobytes (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.configProtoBytes"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.configProtoBytes"]], "getclasses() (bertforzeroshotclassification method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.getClasses"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.getClasses"]], "inputannotatortypes (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.inputAnnotatorTypes"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (bertforzeroshotclassification static method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.loadSavedModel"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.loadSavedModel"]], "name (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.name"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.name"]], "outputannotatortype (bertforzeroshotclassification attribute)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.outputAnnotatorType"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (bertforzeroshotclassification static method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.pretrained"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.pretrained"]], "setcoalescesentences() (bertforzeroshotclassification method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setCoalesceSentences"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (bertforzeroshotclassification method)": [[23, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setConfigProtoBytes"], [282, "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification.BertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification": [[23, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"], [282, "module-sparknlp.annotator.classifier_dl.bert_for_zero_shot_classification"]], "camembertforquestionanswering (class in sparknlp.annotator.classifier_dl.camembert_for_question_answering)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering"]], "coalescesentences (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.coalesceSentences"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.coalesceSentences"]], "configprotobytes (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.configProtoBytes"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.inputAnnotatorTypes"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (camembertforquestionanswering static method)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.loadSavedModel"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.loadSavedModel"]], "name (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.name"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.name"]], "outputannotatortype (camembertforquestionanswering attribute)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.outputAnnotatorType"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (camembertforquestionanswering static method)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.pretrained"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (camembertforquestionanswering method)": [[24, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.setConfigProtoBytes"], [283, "sparknlp.annotator.classifier_dl.camembert_for_question_answering.CamemBertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_question_answering": [[24, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"], [283, "module-sparknlp.annotator.classifier_dl.camembert_for_question_answering"]], "camembertforsequenceclassification (class in sparknlp.annotator.classifier_dl.camembert_for_sequence_classification)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification"]], "coalescesentences (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.coalesceSentences"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.coalesceSentences"]], "configprotobytes (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.configProtoBytes"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.configProtoBytes"]], "getclasses() (camembertforsequenceclassification method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.getClasses"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.getClasses"]], "inputannotatortypes (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.inputAnnotatorTypes"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (camembertforsequenceclassification static method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.loadSavedModel"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.loadSavedModel"]], "name (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.name"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.name"]], "outputannotatortype (camembertforsequenceclassification attribute)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.outputAnnotatorType"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.outputAnnotatorType"]], "pretrained() (camembertforsequenceclassification static method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.pretrained"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.pretrained"]], "setcoalescesentences() (camembertforsequenceclassification method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setCoalesceSentences"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (camembertforsequenceclassification method)": [[25, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setConfigProtoBytes"], [284, "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification.CamemBertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_sequence_classification": [[25, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"], [284, "module-sparknlp.annotator.classifier_dl.camembert_for_sequence_classification"]], "camembertfortokenclassification (class in sparknlp.annotator.classifier_dl.camembert_for_token_classification)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification"]], "configprotobytes (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.configProtoBytes"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.configProtoBytes"]], "getclasses() (camembertfortokenclassification method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.getClasses"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.getClasses"]], "inputannotatortypes (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.inputAnnotatorTypes"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (camembertfortokenclassification static method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.loadSavedModel"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.loadSavedModel"]], "name (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.name"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.name"]], "outputannotatortype (camembertfortokenclassification attribute)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.outputAnnotatorType"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.outputAnnotatorType"]], "pretrained() (camembertfortokenclassification static method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.pretrained"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.pretrained"]], "setconfigprotobytes() (camembertfortokenclassification method)": [[26, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.setConfigProtoBytes"], [285, "sparknlp.annotator.classifier_dl.camembert_for_token_classification.CamemBertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_token_classification": [[26, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"], [285, "module-sparknlp.annotator.classifier_dl.camembert_for_token_classification"]], "camembertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification"]], "coalescesentences (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.coalesceSentences"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.coalesceSentences"]], "configprotobytes (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.configProtoBytes"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.configProtoBytes"]], "getclasses() (camembertforzeroshotclassification method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.getClasses"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.getClasses"]], "inputannotatortypes (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.inputAnnotatorTypes"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (camembertforzeroshotclassification static method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.loadSavedModel"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.loadSavedModel"]], "name (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.name"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.name"]], "outputannotatortype (camembertforzeroshotclassification attribute)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.outputAnnotatorType"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (camembertforzeroshotclassification static method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.pretrained"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.pretrained"]], "setcoalescesentences() (camembertforzeroshotclassification method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setCoalesceSentences"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (camembertforzeroshotclassification method)": [[27, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setConfigProtoBytes"], [286, "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification.CamemBertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification": [[27, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"], [286, "module-sparknlp.annotator.classifier_dl.camembert_for_zero_shot_classification"]], "classifierdlapproach (class in sparknlp.annotator.classifier_dl.classifier_dl)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach"]], "classifierdlmodel (class in sparknlp.annotator.classifier_dl.classifier_dl)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel"]], "classes (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.classes"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.classes"]], "configprotobytes (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.configProtoBytes"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.configProtoBytes"]], "dropout (classifierdlapproach attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.dropout"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.dropout"]], "inputannotatortypes (classifierdlapproach attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.inputAnnotatorTypes"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.inputAnnotatorTypes"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.inputAnnotatorTypes"]], "name (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.name"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.name"]], "outputannotatortype (classifierdlapproach attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.outputAnnotatorType"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.outputAnnotatorType"]], "outputannotatortype (classifierdlmodel attribute)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.outputAnnotatorType"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.outputAnnotatorType"]], "pretrained() (classifierdlmodel static method)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.pretrained"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.pretrained"]], "setconfigprotobytes() (classifierdlmodel method)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.setConfigProtoBytes"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLModel.setConfigProtoBytes"]], "setdropout() (classifierdlapproach method)": [[28, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.setDropout"], [287, "sparknlp.annotator.classifier_dl.classifier_dl.ClassifierDLApproach.setDropout"]], "sparknlp.annotator.classifier_dl.classifier_dl": [[28, "module-sparknlp.annotator.classifier_dl.classifier_dl"], [287, "module-sparknlp.annotator.classifier_dl.classifier_dl"]], "debertaforquestionanswering (class in sparknlp.annotator.classifier_dl.deberta_for_question_answering)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering"]], "coalescesentences (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.coalesceSentences"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.coalesceSentences"]], "configprotobytes (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.configProtoBytes"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.inputAnnotatorTypes"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (debertaforquestionanswering static method)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.loadSavedModel"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.loadSavedModel"]], "name (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.name"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.name"]], "outputannotatortype (debertaforquestionanswering attribute)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.outputAnnotatorType"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.outputAnnotatorType"]], "pretrained() (debertaforquestionanswering static method)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.pretrained"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.pretrained"]], "setconfigprotobytes() (debertaforquestionanswering method)": [[29, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.setConfigProtoBytes"], [288, "sparknlp.annotator.classifier_dl.deberta_for_question_answering.DeBertaForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_question_answering": [[29, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"], [288, "module-sparknlp.annotator.classifier_dl.deberta_for_question_answering"]], "debertaforsequenceclassification (class in sparknlp.annotator.classifier_dl.deberta_for_sequence_classification)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification"]], "coalescesentences (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.coalesceSentences"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.coalesceSentences"]], "configprotobytes (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.configProtoBytes"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.configProtoBytes"]], "getclasses() (debertaforsequenceclassification method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.getClasses"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.getClasses"]], "inputannotatortypes (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.inputAnnotatorTypes"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (debertaforsequenceclassification static method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.loadSavedModel"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.loadSavedModel"]], "name (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.name"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.name"]], "outputannotatortype (debertaforsequenceclassification attribute)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.outputAnnotatorType"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.outputAnnotatorType"]], "pretrained() (debertaforsequenceclassification static method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.pretrained"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.pretrained"]], "setcoalescesentences() (debertaforsequenceclassification method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setCoalesceSentences"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (debertaforsequenceclassification method)": [[30, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setConfigProtoBytes"], [289, "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification.DeBertaForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_sequence_classification": [[30, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"], [289, "module-sparknlp.annotator.classifier_dl.deberta_for_sequence_classification"]], "debertafortokenclassification (class in sparknlp.annotator.classifier_dl.deberta_for_token_classification)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification"]], "configprotobytes (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.configProtoBytes"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.configProtoBytes"]], "getclasses() (debertafortokenclassification method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.getClasses"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.getClasses"]], "inputannotatortypes (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.inputAnnotatorTypes"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (debertafortokenclassification static method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.loadSavedModel"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.loadSavedModel"]], "name (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.name"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.name"]], "outputannotatortype (debertafortokenclassification attribute)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.outputAnnotatorType"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.outputAnnotatorType"]], "pretrained() (debertafortokenclassification static method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.pretrained"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.pretrained"]], "setconfigprotobytes() (debertafortokenclassification method)": [[31, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.setConfigProtoBytes"], [290, "sparknlp.annotator.classifier_dl.deberta_for_token_classification.DeBertaForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_token_classification": [[31, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"], [290, "module-sparknlp.annotator.classifier_dl.deberta_for_token_classification"]], "debertaforzeroshotclassification (class in sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification"]], "coalescesentences (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.coalesceSentences"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.coalesceSentences"]], "configprotobytes (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.configProtoBytes"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.configProtoBytes"]], "getclasses() (debertaforzeroshotclassification method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.getClasses"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.getClasses"]], "inputannotatortypes (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.inputAnnotatorTypes"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (debertaforzeroshotclassification static method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.loadSavedModel"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.loadSavedModel"]], "name (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.name"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.name"]], "outputannotatortype (debertaforzeroshotclassification attribute)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.outputAnnotatorType"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.outputAnnotatorType"]], "pretrained() (debertaforzeroshotclassification static method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.pretrained"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.pretrained"]], "setcoalescesentences() (debertaforzeroshotclassification method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setCoalesceSentences"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (debertaforzeroshotclassification method)": [[32, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setConfigProtoBytes"], [291, "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification.DeBertaForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification": [[32, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"], [291, "module-sparknlp.annotator.classifier_dl.deberta_for_zero_shot_classification"]], "distilbertforquestionanswering (class in sparknlp.annotator.classifier_dl.distil_bert_for_question_answering)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering"]], "coalescesentences (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.coalesceSentences"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.coalesceSentences"]], "configprotobytes (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.configProtoBytes"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.inputAnnotatorTypes"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertforquestionanswering static method)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.loadSavedModel"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.loadSavedModel"]], "name (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.name"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.name"]], "outputannotatortype (distilbertforquestionanswering attribute)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.outputAnnotatorType"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.outputAnnotatorType"]], "pretrained() (distilbertforquestionanswering static method)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.pretrained"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.pretrained"]], "setconfigprotobytes() (distilbertforquestionanswering method)": [[33, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.setConfigProtoBytes"], [292, "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering.DistilBertForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_question_answering": [[33, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"], [292, "module-sparknlp.annotator.classifier_dl.distil_bert_for_question_answering"]], "distilbertforsequenceclassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification"]], "coalescesentences (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.coalesceSentences"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.coalesceSentences"]], "configprotobytes (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.configProtoBytes"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.configProtoBytes"]], "getclasses() (distilbertforsequenceclassification method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.getClasses"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.getClasses"]], "inputannotatortypes (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.inputAnnotatorTypes"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertforsequenceclassification static method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.loadSavedModel"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.loadSavedModel"]], "name (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.name"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.name"]], "outputannotatortype (distilbertforsequenceclassification attribute)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.outputAnnotatorType"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.outputAnnotatorType"]], "pretrained() (distilbertforsequenceclassification static method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.pretrained"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.pretrained"]], "setcoalescesentences() (distilbertforsequenceclassification method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setCoalesceSentences"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (distilbertforsequenceclassification method)": [[34, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setConfigProtoBytes"], [293, "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification.DistilBertForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification": [[34, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"], [293, "module-sparknlp.annotator.classifier_dl.distil_bert_for_sequence_classification"]], "distilbertfortokenclassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_token_classification)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification"]], "configprotobytes (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.configProtoBytes"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.configProtoBytes"]], "getclasses() (distilbertfortokenclassification method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.getClasses"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.getClasses"]], "inputannotatortypes (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.inputAnnotatorTypes"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertfortokenclassification static method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.loadSavedModel"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.loadSavedModel"]], "name (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.name"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.name"]], "outputannotatortype (distilbertfortokenclassification attribute)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.outputAnnotatorType"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.outputAnnotatorType"]], "pretrained() (distilbertfortokenclassification static method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.pretrained"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.pretrained"]], "setconfigprotobytes() (distilbertfortokenclassification method)": [[35, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.setConfigProtoBytes"], [294, "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification.DistilBertForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_token_classification": [[35, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"], [294, "module-sparknlp.annotator.classifier_dl.distil_bert_for_token_classification"]], "distilbertforzeroshotclassification (class in sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification"]], "coalescesentences (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.coalesceSentences"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.coalesceSentences"]], "configprotobytes (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.configProtoBytes"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.configProtoBytes"]], "getclasses() (distilbertforzeroshotclassification method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.getClasses"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.getClasses"]], "inputannotatortypes (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.inputAnnotatorTypes"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertforzeroshotclassification static method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.loadSavedModel"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.loadSavedModel"]], "name (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.name"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.name"]], "outputannotatortype (distilbertforzeroshotclassification attribute)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.outputAnnotatorType"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.outputAnnotatorType"]], "pretrained() (distilbertforzeroshotclassification static method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.pretrained"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.pretrained"]], "setcoalescesentences() (distilbertforzeroshotclassification method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setCoalesceSentences"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (distilbertforzeroshotclassification method)": [[36, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setConfigProtoBytes"], [295, "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification.DistilBertForZeroShotClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification": [[36, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"], [295, "module-sparknlp.annotator.classifier_dl.distil_bert_for_zero_shot_classification"]], "distilbertformultiplechoice (class in sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice"]], "choicesdelimiter (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.choicesDelimiter"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.inputAnnotatorTypes"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertformultiplechoice static method)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.loadSavedModel"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.loadSavedModel"]], "name (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.name"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.name"]], "outputannotatortype (distilbertformultiplechoice attribute)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.outputAnnotatorType"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.outputAnnotatorType"]], "pretrained() (distilbertformultiplechoice static method)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.pretrained"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.pretrained"]], "setchoicesdelimiter() (distilbertformultiplechoice method)": [[37, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.setChoicesDelimiter"], [296, "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice.DistilBertForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice": [[37, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"], [296, "module-sparknlp.annotator.classifier_dl.distilbert_for_multiple_choice"]], "longformerforquestionanswering (class in sparknlp.annotator.classifier_dl.longformer_for_question_answering)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering"]], "coalescesentences (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.coalesceSentences"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.coalesceSentences"]], "configprotobytes (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.configProtoBytes"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.inputAnnotatorTypes"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (longformerforquestionanswering static method)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.loadSavedModel"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.loadSavedModel"]], "name (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.name"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.name"]], "outputannotatortype (longformerforquestionanswering attribute)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.outputAnnotatorType"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.outputAnnotatorType"]], "pretrained() (longformerforquestionanswering static method)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.pretrained"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.pretrained"]], "setconfigprotobytes() (longformerforquestionanswering method)": [[38, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.setConfigProtoBytes"], [298, "sparknlp.annotator.classifier_dl.longformer_for_question_answering.LongformerForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_question_answering": [[38, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"], [298, "module-sparknlp.annotator.classifier_dl.longformer_for_question_answering"]], "longformerforsequenceclassification (class in sparknlp.annotator.classifier_dl.longformer_for_sequence_classification)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification"]], "coalescesentences (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.coalesceSentences"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.coalesceSentences"]], "configprotobytes (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.configProtoBytes"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.configProtoBytes"]], "getclasses() (longformerforsequenceclassification method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.getClasses"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.getClasses"]], "inputannotatortypes (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.inputAnnotatorTypes"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (longformerforsequenceclassification static method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.loadSavedModel"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.loadSavedModel"]], "name (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.name"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.name"]], "outputannotatortype (longformerforsequenceclassification attribute)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.outputAnnotatorType"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.outputAnnotatorType"]], "pretrained() (longformerforsequenceclassification static method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.pretrained"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.pretrained"]], "setcoalescesentences() (longformerforsequenceclassification method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setCoalesceSentences"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (longformerforsequenceclassification method)": [[39, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setConfigProtoBytes"], [299, "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification.LongformerForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_sequence_classification": [[39, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"], [299, "module-sparknlp.annotator.classifier_dl.longformer_for_sequence_classification"]], "longformerfortokenclassification (class in sparknlp.annotator.classifier_dl.longformer_for_token_classification)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification"]], "configprotobytes (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.configProtoBytes"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.configProtoBytes"]], "getclasses() (longformerfortokenclassification method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.getClasses"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.getClasses"]], "inputannotatortypes (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.inputAnnotatorTypes"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (longformerfortokenclassification static method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.loadSavedModel"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.loadSavedModel"]], "name (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.name"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.name"]], "outputannotatortype (longformerfortokenclassification attribute)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.outputAnnotatorType"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.outputAnnotatorType"]], "pretrained() (longformerfortokenclassification static method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.pretrained"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.pretrained"]], "setconfigprotobytes() (longformerfortokenclassification method)": [[40, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.setConfigProtoBytes"], [300, "sparknlp.annotator.classifier_dl.longformer_for_token_classification.LongformerForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.longformer_for_token_classification": [[40, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"], [300, "module-sparknlp.annotator.classifier_dl.longformer_for_token_classification"]], "mpnetforquestionanswering (class in sparknlp.annotator.classifier_dl.mpnet_for_question_answering)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering"]], "inputannotatortypes (mpnetforquestionanswering attribute)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.inputAnnotatorTypes"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetforquestionanswering static method)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.loadSavedModel"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.loadSavedModel"]], "name (mpnetforquestionanswering attribute)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.name"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.name"]], "outputannotatortype (mpnetforquestionanswering attribute)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.outputAnnotatorType"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.outputAnnotatorType"]], "pretrained() (mpnetforquestionanswering static method)": [[41, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.pretrained"], [301, "sparknlp.annotator.classifier_dl.mpnet_for_question_answering.MPNetForQuestionAnswering.pretrained"]], "sparknlp.annotator.classifier_dl.mpnet_for_question_answering": [[41, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"], [301, "module-sparknlp.annotator.classifier_dl.mpnet_for_question_answering"]], "mpnetforsequenceclassification (class in sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification"]], "coalescesentences (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.coalesceSentences"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.coalesceSentences"]], "getclasses() (mpnetforsequenceclassification method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.getClasses"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.getClasses"]], "inputannotatortypes (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.inputAnnotatorTypes"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetforsequenceclassification static method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.loadSavedModel"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.loadSavedModel"]], "name (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.name"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.name"]], "outputannotatortype (mpnetforsequenceclassification attribute)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.outputAnnotatorType"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.outputAnnotatorType"]], "pretrained() (mpnetforsequenceclassification static method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.pretrained"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.pretrained"]], "setcoalescesentences() (mpnetforsequenceclassification method)": [[42, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.setCoalesceSentences"], [302, "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification.MPNetForSequenceClassification.setCoalesceSentences"]], "sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification": [[42, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"], [302, "module-sparknlp.annotator.classifier_dl.mpnet_for_sequence_classification"]], "mpnetfortokenclassification (class in sparknlp.annotator.classifier_dl.mpnet_for_token_classification)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification"]], "configprotobytes (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.configProtoBytes"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.configProtoBytes"]], "getclasses() (mpnetfortokenclassification method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.getClasses"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.getClasses"]], "inputannotatortypes (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.inputAnnotatorTypes"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetfortokenclassification static method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.loadSavedModel"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.loadSavedModel"]], "name (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.name"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.name"]], "outputannotatortype (mpnetfortokenclassification attribute)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.outputAnnotatorType"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.outputAnnotatorType"]], "pretrained() (mpnetfortokenclassification static method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.pretrained"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.pretrained"]], "setconfigprotobytes() (mpnetfortokenclassification method)": [[43, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.setConfigProtoBytes"], [303, "sparknlp.annotator.classifier_dl.mpnet_for_token_classification.MPNetForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.mpnet_for_token_classification": [[43, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"], [303, "module-sparknlp.annotator.classifier_dl.mpnet_for_token_classification"]], "multiclassifierdlapproach (class in sparknlp.annotator.classifier_dl.multi_classifier_dl)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach"]], "multiclassifierdlmodel (class in sparknlp.annotator.classifier_dl.multi_classifier_dl)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel"]], "classes (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.classes"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.classes"]], "configprotobytes (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.configProtoBytes"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.configProtoBytes"]], "inputannotatortypes (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.inputAnnotatorTypes"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.inputAnnotatorTypes"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.inputAnnotatorTypes"]], "name (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.name"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.name"]], "outputannotatortype (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.outputAnnotatorType"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.outputAnnotatorType"]], "outputannotatortype (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.outputAnnotatorType"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.outputAnnotatorType"]], "pretrained() (multiclassifierdlmodel static method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.pretrained"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.pretrained"]], "setconfigprotobytes() (multiclassifierdlmodel method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setConfigProtoBytes"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setConfigProtoBytes"]], "setshuffleperepoch() (multiclassifierdlapproach method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setShufflePerEpoch"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setShufflePerEpoch"]], "setthreshold() (multiclassifierdlapproach method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setThreshold"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setThreshold"]], "setthreshold() (multiclassifierdlmodel method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setThreshold"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.setThreshold"]], "setverbose() (multiclassifierdlapproach method)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setVerbose"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.setVerbose"]], "shuffleperepoch (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.shufflePerEpoch"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.shufflePerEpoch"]], "sparknlp.annotator.classifier_dl.multi_classifier_dl": [[44, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"], [304, "module-sparknlp.annotator.classifier_dl.multi_classifier_dl"]], "threshold (multiclassifierdlapproach attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.threshold"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLApproach.threshold"]], "threshold (multiclassifierdlmodel attribute)": [[44, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.threshold"], [304, "sparknlp.annotator.classifier_dl.multi_classifier_dl.MultiClassifierDLModel.threshold"]], "robertaformultiplechoice (class in sparknlp.annotator.classifier_dl.roberta_for_multiple_choice)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice"]], "choicesdelimiter (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.choicesDelimiter"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.choicesDelimiter"]], "inputannotatortypes (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.inputAnnotatorTypes"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (robertaformultiplechoice static method)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.loadSavedModel"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.loadSavedModel"]], "name (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.name"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.name"]], "outputannotatortype (robertaformultiplechoice attribute)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.outputAnnotatorType"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.outputAnnotatorType"]], "pretrained() (robertaformultiplechoice static method)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.pretrained"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.pretrained"]], "setchoicesdelimiter() (robertaformultiplechoice method)": [[45, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.setChoicesDelimiter"], [305, "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice.RoBertaForMultipleChoice.setChoicesDelimiter"]], "sparknlp.annotator.classifier_dl.roberta_for_multiple_choice": [[45, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"], [305, "module-sparknlp.annotator.classifier_dl.roberta_for_multiple_choice"]], "robertaforquestionanswering (class in sparknlp.annotator.classifier_dl.roberta_for_question_answering)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering"]], "coalescesentences (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.coalesceSentences"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.coalesceSentences"]], "configprotobytes (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.configProtoBytes"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.inputAnnotatorTypes"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (robertaforquestionanswering static method)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.loadSavedModel"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.loadSavedModel"]], "name (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.name"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.name"]], "outputannotatortype (robertaforquestionanswering attribute)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.outputAnnotatorType"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.outputAnnotatorType"]], "pretrained() (robertaforquestionanswering static method)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.pretrained"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.pretrained"]], "setconfigprotobytes() (robertaforquestionanswering method)": [[46, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.setConfigProtoBytes"], [306, "sparknlp.annotator.classifier_dl.roberta_for_question_answering.RoBertaForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_question_answering": [[46, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"], [306, "module-sparknlp.annotator.classifier_dl.roberta_for_question_answering"]], "robertaforsequenceclassification (class in sparknlp.annotator.classifier_dl.roberta_for_sequence_classification)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification"]], "coalescesentences (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.coalesceSentences"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.coalesceSentences"]], "configprotobytes (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.configProtoBytes"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.configProtoBytes"]], "getclasses() (robertaforsequenceclassification method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.getClasses"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.getClasses"]], "inputannotatortypes (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.inputAnnotatorTypes"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (robertaforsequenceclassification static method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.loadSavedModel"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.loadSavedModel"]], "name (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.name"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.name"]], "outputannotatortype (robertaforsequenceclassification attribute)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.outputAnnotatorType"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.outputAnnotatorType"]], "pretrained() (robertaforsequenceclassification static method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.pretrained"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.pretrained"]], "setcoalescesentences() (robertaforsequenceclassification method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setCoalesceSentences"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (robertaforsequenceclassification method)": [[47, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setConfigProtoBytes"], [307, "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification.RoBertaForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.roberta_for_sequence_classification": [[47, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"], [307, "module-sparknlp.annotator.classifier_dl.roberta_for_sequence_classification"]], "robertafortokenclassification (class in sparknlp.annotator.classifier_dl.roberta_for_token_classification)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification"]], "configprotobytes (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.configProtoBytes"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.configProtoBytes"]], "getclasses() (robertafortokenclassification method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.getClasses"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.getClasses"]], "inputannotatortypes (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.inputAnnotatorTypes"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (robertafortokenclassification static method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.loadSavedModel"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.loadSavedModel"]], "maxsentencelength (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.maxSentenceLength"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.maxSentenceLength"]], "name (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.name"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.name"]], "outputannotatortype (robertafortokenclassification attribute)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.outputAnnotatorType"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.outputAnnotatorType"]], "pretrained() (robertafortokenclassification static method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.pretrained"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.pretrained"]], "setconfigprotobytes() (robertafortokenclassification method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setConfigProtoBytes"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setConfigProtoBytes"]], "setmaxsentencelength() (robertafortokenclassification method)": [[48, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setMaxSentenceLength"], [308, "sparknlp.annotator.classifier_dl.roberta_for_token_classification.RoBertaForTokenClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.roberta_for_token_classification": [[48, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"], [308, "module-sparknlp.annotator.classifier_dl.roberta_for_token_classification"]], "robertaforzeroshotclassification (class in sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification"]], "coalescesentences (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.coalesceSentences"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.coalesceSentences"]], "configprotobytes (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.configProtoBytes"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.configProtoBytes"]], "getclasses() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.getClasses"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.getClasses"]], "inputannotatortypes (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.inputAnnotatorTypes"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (robertaforzeroshotclassification static method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.loadSavedModel"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.loadSavedModel"]], "maxsentencelength (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.maxSentenceLength"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.maxSentenceLength"]], "name (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.name"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.name"]], "outputannotatortype (robertaforzeroshotclassification attribute)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.outputAnnotatorType"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.outputAnnotatorType"]], "pretrained() (robertaforzeroshotclassification static method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.pretrained"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.pretrained"]], "setcoalescesentences() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setCoalesceSentences"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setConfigProtoBytes"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setConfigProtoBytes"]], "setmaxsentencelength() (robertaforzeroshotclassification method)": [[49, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setMaxSentenceLength"], [309, "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification.RoBertaForZeroShotClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification": [[49, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"], [309, "module-sparknlp.annotator.classifier_dl.roberta_for_zero_shot_classification"]], "sentimentdlapproach (class in sparknlp.annotator.classifier_dl.sentiment_dl)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach"]], "sentimentdlmodel (class in sparknlp.annotator.classifier_dl.sentiment_dl)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel"]], "classes (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.classes"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.classes"]], "configprotobytes (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.configProtoBytes"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.configProtoBytes"]], "dropout (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.dropout"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.dropout"]], "inputannotatortypes (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.inputAnnotatorTypes"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.inputAnnotatorTypes"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.inputAnnotatorTypes"]], "name (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.name"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.name"]], "outputannotatortype (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.outputAnnotatorType"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.outputAnnotatorType"]], "outputannotatortype (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.outputAnnotatorType"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.outputAnnotatorType"]], "pretrained() (sentimentdlmodel static method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.pretrained"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.pretrained"]], "setconfigprotobytes() (sentimentdlmodel method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setConfigProtoBytes"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setConfigProtoBytes"]], "setdropout() (sentimentdlapproach method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setDropout"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setDropout"]], "setthreshold() (sentimentdlapproach method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThreshold"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThreshold"]], "setthreshold() (sentimentdlmodel method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThreshold"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThreshold"]], "setthresholdlabel() (sentimentdlapproach method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThresholdLabel"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.setThresholdLabel"]], "setthresholdlabel() (sentimentdlmodel method)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThresholdLabel"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.setThresholdLabel"]], "sparknlp.annotator.classifier_dl.sentiment_dl": [[50, "module-sparknlp.annotator.classifier_dl.sentiment_dl"], [310, "module-sparknlp.annotator.classifier_dl.sentiment_dl"]], "threshold (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.threshold"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.threshold"]], "threshold (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.threshold"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.threshold"]], "thresholdlabel (sentimentdlapproach attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.thresholdLabel"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLApproach.thresholdLabel"]], "thresholdlabel (sentimentdlmodel attribute)": [[50, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.thresholdLabel"], [310, "sparknlp.annotator.classifier_dl.sentiment_dl.SentimentDLModel.thresholdLabel"]], "tapasforquestionanswering (class in sparknlp.annotator.classifier_dl.tapas_for_question_answering)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering"], [311, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering"]], "inputannotatortypes (tapasforquestionanswering attribute)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.inputAnnotatorTypes"], [311, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (tapasforquestionanswering static method)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.loadSavedModel"], [311, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.loadSavedModel"]], "name (tapasforquestionanswering attribute)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.name"], [311, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.name"]], "pretrained() (tapasforquestionanswering static method)": [[51, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.pretrained"], [311, "sparknlp.annotator.classifier_dl.tapas_for_question_answering.TapasForQuestionAnswering.pretrained"]], "sparknlp.annotator.classifier_dl.tapas_for_question_answering": [[51, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"], [311, "module-sparknlp.annotator.classifier_dl.tapas_for_question_answering"]], "xlmrobertaformultiplechoice (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice"]], "inputannotatortypes (xlmrobertaformultiplechoice attribute)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.inputAnnotatorTypes"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaformultiplechoice static method)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.loadSavedModel"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.loadSavedModel"]], "name (xlmrobertaformultiplechoice attribute)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.name"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.name"]], "outputannotatortype (xlmrobertaformultiplechoice attribute)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.outputAnnotatorType"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.outputAnnotatorType"]], "pretrained() (xlmrobertaformultiplechoice static method)": [[52, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.pretrained"], [312, "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice.XlmRoBertaForMultipleChoice.pretrained"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice": [[52, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"], [312, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_multiple_choice"]], "xlmrobertaforquestionanswering (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering"]], "coalescesentences (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.coalesceSentences"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.coalesceSentences"]], "configprotobytes (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.configProtoBytes"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.inputAnnotatorTypes"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaforquestionanswering static method)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.loadSavedModel"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.loadSavedModel"]], "name (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.name"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.name"]], "outputannotatortype (xlmrobertaforquestionanswering attribute)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.outputAnnotatorType"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.outputAnnotatorType"]], "pretrained() (xlmrobertaforquestionanswering static method)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.pretrained"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.pretrained"]], "setconfigprotobytes() (xlmrobertaforquestionanswering method)": [[53, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.setConfigProtoBytes"], [313, "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering.XlmRoBertaForQuestionAnswering.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering": [[53, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"], [313, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_question_answering"]], "xlmrobertaforsequenceclassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification"]], "coalescesentences (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.coalesceSentences"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.coalesceSentences"]], "configprotobytes (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.configProtoBytes"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.configProtoBytes"]], "getclasses() (xlmrobertaforsequenceclassification method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.getClasses"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.getClasses"]], "inputannotatortypes (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.inputAnnotatorTypes"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaforsequenceclassification static method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.loadSavedModel"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.loadSavedModel"]], "name (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.name"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.name"]], "outputannotatortype (xlmrobertaforsequenceclassification attribute)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.outputAnnotatorType"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.outputAnnotatorType"]], "pretrained() (xlmrobertaforsequenceclassification static method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.pretrained"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.pretrained"]], "setcoalescesentences() (xlmrobertaforsequenceclassification method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setCoalesceSentences"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (xlmrobertaforsequenceclassification method)": [[54, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setConfigProtoBytes"], [314, "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification.XlmRoBertaForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification": [[54, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"], [314, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_sequence_classification"]], "xlmrobertafortokenclassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification"]], "configprotobytes (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.configProtoBytes"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.configProtoBytes"]], "getclasses() (xlmrobertafortokenclassification method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.getClasses"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.getClasses"]], "inputannotatortypes (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.inputAnnotatorTypes"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertafortokenclassification static method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.loadSavedModel"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.loadSavedModel"]], "name (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.name"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.name"]], "outputannotatortype (xlmrobertafortokenclassification attribute)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.outputAnnotatorType"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.outputAnnotatorType"]], "pretrained() (xlmrobertafortokenclassification static method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.pretrained"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.pretrained"]], "setconfigprotobytes() (xlmrobertafortokenclassification method)": [[55, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.setConfigProtoBytes"], [315, "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification.XlmRoBertaForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification": [[55, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"], [315, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_token_classification"]], "xlmrobertaforzeroshotclassification (class in sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification"]], "coalescesentences (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.coalesceSentences"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.coalesceSentences"]], "configprotobytes (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.configProtoBytes"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.configProtoBytes"]], "getclasses() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.getClasses"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.getClasses"]], "inputannotatortypes (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.inputAnnotatorTypes"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaforzeroshotclassification static method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.loadSavedModel"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.loadSavedModel"]], "maxsentencelength (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.maxSentenceLength"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.maxSentenceLength"]], "name (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.name"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.name"]], "outputannotatortype (xlmrobertaforzeroshotclassification attribute)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.outputAnnotatorType"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.outputAnnotatorType"]], "pretrained() (xlmrobertaforzeroshotclassification static method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.pretrained"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.pretrained"]], "setcoalescesentences() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setCoalesceSentences"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setCoalesceSentences"]], "setconfigprotobytes() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setConfigProtoBytes"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setConfigProtoBytes"]], "setmaxsentencelength() (xlmrobertaforzeroshotclassification method)": [[56, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setMaxSentenceLength"], [316, "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification.XlmRoBertaForZeroShotClassification.setMaxSentenceLength"]], "sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification": [[56, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"], [316, "module-sparknlp.annotator.classifier_dl.xlm_roberta_for_zero_shot_classification"]], "xlnetforsequenceclassification (class in sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification"]], "coalescesentences (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.coalesceSentences"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.coalesceSentences"]], "configprotobytes (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.configProtoBytes"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.configProtoBytes"]], "getclasses() (xlnetforsequenceclassification method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.getClasses"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.getClasses"]], "inputannotatortypes (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.inputAnnotatorTypes"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlnetforsequenceclassification static method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.loadSavedModel"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.loadSavedModel"]], "name (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.name"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.name"]], "outputannotatortype (xlnetforsequenceclassification attribute)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.outputAnnotatorType"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.outputAnnotatorType"]], "pretrained() (xlnetforsequenceclassification static method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.pretrained"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.pretrained"]], "setcoalescesentences() (xlnetforsequenceclassification method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setCoalesceSentences"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setCoalesceSentences"]], "setconfigprotobytes() (xlnetforsequenceclassification method)": [[57, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setConfigProtoBytes"], [317, "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification.XlnetForSequenceClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification": [[57, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"], [317, "module-sparknlp.annotator.classifier_dl.xlnet_for_sequence_classification"]], "xlnetfortokenclassification (class in sparknlp.annotator.classifier_dl.xlnet_for_token_classification)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification"]], "configprotobytes (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.configProtoBytes"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.configProtoBytes"]], "getclasses() (xlnetfortokenclassification method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.getClasses"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.getClasses"]], "inputannotatortypes (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.inputAnnotatorTypes"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.inputAnnotatorTypes"]], "loadsavedmodel() (xlnetfortokenclassification static method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.loadSavedModel"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.loadSavedModel"]], "name (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.name"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.name"]], "outputannotatortype (xlnetfortokenclassification attribute)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.outputAnnotatorType"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.outputAnnotatorType"]], "pretrained() (xlnetfortokenclassification static method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.pretrained"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.pretrained"]], "setconfigprotobytes() (xlnetfortokenclassification method)": [[58, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.setConfigProtoBytes"], [318, "sparknlp.annotator.classifier_dl.xlnet_for_token_classification.XlnetForTokenClassification.setConfigProtoBytes"]], "sparknlp.annotator.classifier_dl.xlnet_for_token_classification": [[58, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"], [318, "module-sparknlp.annotator.classifier_dl.xlnet_for_token_classification"]], "sparknlp.annotator.cleaners": [[59, "module-sparknlp.annotator.cleaners"], [321, "module-sparknlp.annotator.cleaners"]], "cleaner (class in sparknlp.annotator.cleaners.cleaner)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner"]], "bullets (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.bullets"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.bullets"]], "cleanpostfixpattern (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPostfixPattern"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPostfixPattern"]], "cleanprefixpattern (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPrefixPattern"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanPrefixPattern"]], "cleanermode (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanerMode"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.cleanerMode"]], "dashes (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.dashes"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.dashes"]], "encoding (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.encoding"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.encoding"]], "extrawhitespace (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.extraWhitespace"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.extraWhitespace"]], "ignorecase (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.ignoreCase"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.ignoreCase"]], "inputannotatortypes (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.inputAnnotatorTypes"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.inputAnnotatorTypes"]], "lowercase (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.lowercase"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.lowercase"]], "name (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.name"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.name"]], "outputannotatortype (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.outputAnnotatorType"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.outputAnnotatorType"]], "setbullets() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setBullets"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setBullets"]], "setcleanpostfixpattern() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPostfixPattern"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPostfixPattern"]], "setcleanprefixpattern() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPrefixPattern"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanPrefixPattern"]], "setcleanermode() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanerMode"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setCleanerMode"]], "setdashes() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setDashes"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setDashes"]], "setencoding() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setEncoding"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setEncoding"]], "setextrawhitespace() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setExtraWhitespace"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setExtraWhitespace"]], "setignorecase() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setIgnoreCase"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setIgnoreCase"]], "setlowercase() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setLowercase"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setLowercase"]], "setstrip() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setStrip"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setStrip"]], "settrailingpunctuation() (cleaner method)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.setTrailingPunctuation"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.setTrailingPunctuation"]], "sparknlp.annotator.cleaners.cleaner": [[60, "module-sparknlp.annotator.cleaners.cleaner"], [319, "module-sparknlp.annotator.cleaners.cleaner"]], "strip (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.strip"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.strip"]], "trailingpunctuation (cleaner attribute)": [[60, "sparknlp.annotator.cleaners.cleaner.Cleaner.trailingPunctuation"], [319, "sparknlp.annotator.cleaners.cleaner.Cleaner.trailingPunctuation"]], "extractor (class in sparknlp.annotator.cleaners.extractor)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor"], [320, "sparknlp.annotator.cleaners.extractor.Extractor"]], "emailaddress (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.emailAddress"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.emailAddress"]], "emaildatetimetzpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.emailDateTimeTzPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.emailDateTimeTzPattern"]], "extractormode (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.extractorMode"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.extractorMode"]], "imageurlpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.imageUrlPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.imageUrlPattern"]], "index (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.index"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.index"]], "inputannotatortypes (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.inputAnnotatorTypes"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.inputAnnotatorTypes"]], "ipaddressnamepattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressNamePattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressNamePattern"]], "ipaddresspattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.ipAddressPattern"]], "mapiidpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.mapiIdPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.mapiIdPattern"]], "name (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.name"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.name"]], "outputannotatortype (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.outputAnnotatorType"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.outputAnnotatorType"]], "setemailaddress() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailAddress"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailAddress"]], "setemaildatetimetzpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailDateTimeTzPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setEmailDateTimeTzPattern"]], "setextractormode() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setExtractorMode"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setExtractorMode"]], "setimageurlpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setImageUrlPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setImageUrlPattern"]], "setindex() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setIndex"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setIndex"]], "setipaddressnamepattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressNamePattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressNamePattern"]], "setipaddresspattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setIpAddressPattern"]], "setmapiidpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setMapiIdPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setMapiIdPattern"]], "settextpattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setTextPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setTextPattern"]], "setusphonenumberspattern() (extractor method)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.setUsPhoneNumbersPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.setUsPhoneNumbersPattern"]], "sparknlp.annotator.cleaners.extractor": [[61, "module-sparknlp.annotator.cleaners.extractor"], [320, "module-sparknlp.annotator.cleaners.extractor"]], "textpattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.textPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.textPattern"]], "usphonenumberspattern (extractor attribute)": [[61, "sparknlp.annotator.cleaners.extractor.Extractor.usPhoneNumbersPattern"], [320, "sparknlp.annotator.cleaners.extractor.Extractor.usPhoneNumbersPattern"]], "sparknlp.annotator.coref": [[62, "module-sparknlp.annotator.coref"], [322, "module-sparknlp.annotator.coref"]], "spanbertcorefmodel (class in sparknlp.annotator.coref.spanbert_coref)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel"]], "configprotobytes (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.configProtoBytes"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.configProtoBytes"]], "inputannotatortypes (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.inputAnnotatorTypes"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.inputAnnotatorTypes"]], "loadsavedmodel() (spanbertcorefmodel static method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.loadSavedModel"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.loadSavedModel"]], "maxsegmentlength (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.maxSegmentLength"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.maxSegmentLength"]], "name (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.name"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.name"]], "outputannotatortype (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.outputAnnotatorType"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.outputAnnotatorType"]], "pretrained() (spanbertcorefmodel static method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.pretrained"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.pretrained"]], "setconfigprotobytes() (spanbertcorefmodel method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setConfigProtoBytes"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setConfigProtoBytes"]], "setmaxsegmentlength() (spanbertcorefmodel method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setMaxSegmentLength"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setMaxSegmentLength"]], "settextgenre() (spanbertcorefmodel method)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setTextGenre"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.setTextGenre"]], "sparknlp.annotator.coref.spanbert_coref": [[63, "module-sparknlp.annotator.coref.spanbert_coref"], [323, "module-sparknlp.annotator.coref.spanbert_coref"]], "textgenre (spanbertcorefmodel attribute)": [[63, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.textGenre"], [323, "sparknlp.annotator.coref.spanbert_coref.SpanBertCorefModel.textGenre"]], "sparknlp.annotator.cv": [[64, "module-sparknlp.annotator.cv"], [329, "module-sparknlp.annotator.cv"]], "blipforquestionanswering (class in sparknlp.annotator.cv.blip_for_question_answering)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering"]], "configprotobytes (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.configProtoBytes"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.configProtoBytes"]], "inputannotatortypes (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.inputAnnotatorTypes"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.inputAnnotatorTypes"]], "loadsavedmodel() (blipforquestionanswering static method)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.loadSavedModel"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.loadSavedModel"]], "maxsentencelength (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.maxSentenceLength"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.maxSentenceLength"]], "name (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.name"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.name"]], "outputannotatortype (blipforquestionanswering attribute)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.outputAnnotatorType"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.outputAnnotatorType"]], "pretrained() (blipforquestionanswering static method)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.pretrained"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.pretrained"]], "setmaxsentencesize() (blipforquestionanswering method)": [[65, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.setMaxSentenceSize"], [324, "sparknlp.annotator.cv.blip_for_question_answering.BLIPForQuestionAnswering.setMaxSentenceSize"]], "sparknlp.annotator.cv.blip_for_question_answering": [[65, "module-sparknlp.annotator.cv.blip_for_question_answering"], [324, "module-sparknlp.annotator.cv.blip_for_question_answering"]], "clipforzeroshotclassification (class in sparknlp.annotator.cv.clip_for_zero_shot_classification)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification"]], "configprotobytes (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.configProtoBytes"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.configProtoBytes"]], "getcandidatelabels() (clipforzeroshotclassification method)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.getCandidateLabels"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.getCandidateLabels"]], "inputannotatortypes (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.inputAnnotatorTypes"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.inputAnnotatorTypes"]], "loadsavedmodel() (clipforzeroshotclassification static method)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.loadSavedModel"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.loadSavedModel"]], "name (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.name"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.name"]], "outputannotatortype (clipforzeroshotclassification attribute)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.outputAnnotatorType"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.outputAnnotatorType"]], "pretrained() (clipforzeroshotclassification static method)": [[66, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.pretrained"], [325, "sparknlp.annotator.cv.clip_for_zero_shot_classification.CLIPForZeroShotClassification.pretrained"]], "sparknlp.annotator.cv.clip_for_zero_shot_classification": [[66, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"], [325, "module-sparknlp.annotator.cv.clip_for_zero_shot_classification"]], "convnextforimageclassification (class in sparknlp.annotator.cv.convnext_for_image_classification)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification"]], "configprotobytes (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.configProtoBytes"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.configProtoBytes"]], "croppct (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.cropPct"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.cropPct"]], "dorescale (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.doRescale"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.doRescale"]], "getclasses() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.getClasses"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.getClasses"]], "inputannotatortypes (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.inputAnnotatorTypes"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.inputAnnotatorTypes"]], "loadsavedmodel() (convnextforimageclassification static method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.loadSavedModel"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.loadSavedModel"]], "name (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.name"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.name"]], "outputannotatortype (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.outputAnnotatorType"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.outputAnnotatorType"]], "pretrained() (convnextforimageclassification static method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.pretrained"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.pretrained"]], "rescalefactor (convnextforimageclassification attribute)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.rescaleFactor"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.rescaleFactor"]], "setconfigprotobytes() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setConfigProtoBytes"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setConfigProtoBytes"]], "setcroppct() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setCropPct"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setCropPct"]], "setdorescale() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setDoRescale"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setDoRescale"]], "setrescalefactor() (convnextforimageclassification method)": [[67, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setRescaleFactor"], [326, "sparknlp.annotator.cv.convnext_for_image_classification.ConvNextForImageClassification.setRescaleFactor"]], "sparknlp.annotator.cv.convnext_for_image_classification": [[67, "module-sparknlp.annotator.cv.convnext_for_image_classification"], [326, "module-sparknlp.annotator.cv.convnext_for_image_classification"]], "florence2transformer (class in sparknlp.annotator.cv.florence2_transformer)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer"]], "batchsize (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.batchSize"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.batchSize"]], "beamsize (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.beamSize"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.beamSize"]], "dosample (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.doSample"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.doSample"]], "ignoretokenids (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.ignoreTokenIds"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.ignoreTokenIds"]], "inputannotatortypes (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.inputAnnotatorTypes"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (florence2transformer static method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.loadSavedModel"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.loadSavedModel"]], "maxoutputlength (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.maxOutputLength"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.maxOutputLength"]], "minoutputlength (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.minOutputLength"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.minOutputLength"]], "name (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.name"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.name"]], "norepeatngramsize (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.noRepeatNgramSize"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.noRepeatNgramSize"]], "outputannotatortype (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.outputAnnotatorType"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.outputAnnotatorType"]], "pretrained() (florence2transformer static method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.pretrained"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.pretrained"]], "repetitionpenalty (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.repetitionPenalty"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.repetitionPenalty"]], "setbatchsize() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBatchSize"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBatchSize"]], "setbeamsize() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBeamSize"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setBeamSize"]], "setdosample() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setDoSample"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setDoSample"]], "setignoretokenids() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setIgnoreTokenIds"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMaxOutputLength"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMaxOutputLength"]], "setminoutputlength() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMinOutputLength"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setNoRepeatNgramSize"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setRepetitionPenalty"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setRepetitionPenalty"]], "settemperature() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTemperature"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTemperature"]], "settopk() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopK"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopK"]], "settopp() (florence2transformer method)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopP"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.setTopP"]], "sparknlp.annotator.cv.florence2_transformer": [[68, "module-sparknlp.annotator.cv.florence2_transformer"], [327, "module-sparknlp.annotator.cv.florence2_transformer"]], "temperature (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.temperature"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.temperature"]], "topk (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topK"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topK"]], "topp (florence2transformer attribute)": [[68, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topP"], [327, "sparknlp.annotator.cv.florence2_transformer.Florence2Transformer.topP"]], "gemma3formultimodal (class in sparknlp.annotator.cv.gemma3_for_multimodal)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal"]], "beamsize (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.beamSize"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.beamSize"]], "configprotobytes (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.configProtoBytes"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.configProtoBytes"]], "dosample (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.doSample"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.doSample"]], "ignoretokenids (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.ignoreTokenIds"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.ignoreTokenIds"]], "inputannotatortypes (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.inputAnnotatorTypes"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (gemma3formultimodal static method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.loadSavedModel"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.loadSavedModel"]], "maxinputlength (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxInputLength"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxInputLength"]], "maxoutputlength (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxOutputLength"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.maxOutputLength"]], "minoutputlength (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.minOutputLength"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.minOutputLength"]], "name (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.name"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.name"]], "norepeatngramsize (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.noRepeatNgramSize"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.noRepeatNgramSize"]], "outputannotatortype (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.outputAnnotatorType"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.outputAnnotatorType"]], "pretrained() (gemma3formultimodal static method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.pretrained"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.pretrained"]], "repetitionpenalty (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.repetitionPenalty"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.repetitionPenalty"]], "setbeamsize() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setBeamSize"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setBeamSize"]], "setconfigprotobytes() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setConfigProtoBytes"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setConfigProtoBytes"]], "setdosample() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setDoSample"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setDoSample"]], "setignoretokenids() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setIgnoreTokenIds"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxOutputLength"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxSentenceSize"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMinOutputLength"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setNoRepeatNgramSize"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setRepetitionPenalty"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setRepetitionPenalty"]], "settemperature() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTemperature"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTemperature"]], "settopk() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopK"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopK"]], "settopp() (gemma3formultimodal method)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopP"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.setTopP"]], "sparknlp.annotator.cv.gemma3_for_multimodal": [[69, "module-sparknlp.annotator.cv.gemma3_for_multimodal"], [328, "module-sparknlp.annotator.cv.gemma3_for_multimodal"]], "temperature (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.temperature"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.temperature"]], "topk (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topK"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topK"]], "topp (gemma3formultimodal attribute)": [[69, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topP"], [328, "sparknlp.annotator.cv.gemma3_for_multimodal.Gemma3ForMultiModal.topP"]], "internvlformultimodal (class in sparknlp.annotator.cv.internvl_for_multimodal)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal"]], "beamsize (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.beamSize"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.beamSize"]], "dosample (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.doSample"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.doSample"]], "ignoretokenids (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.ignoreTokenIds"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.ignoreTokenIds"]], "inputannotatortypes (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.inputAnnotatorTypes"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (internvlformultimodal static method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.loadSavedModel"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.loadSavedModel"]], "maxoutputlength (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.maxOutputLength"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.maxOutputLength"]], "minoutputlength (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.minOutputLength"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.minOutputLength"]], "name (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.name"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.name"]], "norepeatngramsize (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.noRepeatNgramSize"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.noRepeatNgramSize"]], "outputannotatortype (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.outputAnnotatorType"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.outputAnnotatorType"]], "pretrained() (internvlformultimodal static method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.pretrained"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.pretrained"]], "repetitionpenalty (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.repetitionPenalty"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.repetitionPenalty"]], "setbeamsize() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setBeamSize"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setBeamSize"]], "setdosample() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setDoSample"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setDoSample"]], "setignoretokenids() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setIgnoreTokenIds"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxOutputLength"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxSentenceSize"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMinOutputLength"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setNoRepeatNgramSize"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setRepetitionPenalty"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setRepetitionPenalty"]], "settemperature() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTemperature"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTemperature"]], "settopk() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopK"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopK"]], "settopp() (internvlformultimodal method)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopP"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.setTopP"]], "sparknlp.annotator.cv.internvl_for_multimodal": [[70, "module-sparknlp.annotator.cv.internvl_for_multimodal"], [330, "module-sparknlp.annotator.cv.internvl_for_multimodal"]], "temperature (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.temperature"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.temperature"]], "topk (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topK"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topK"]], "topp (internvlformultimodal attribute)": [[70, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topP"], [330, "sparknlp.annotator.cv.internvl_for_multimodal.InternVLForMultiModal.topP"]], "janusformultimodal (class in sparknlp.annotator.cv.janus_for_multimodal)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal"]], "beamsize (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.beamSize"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.beamSize"]], "configprotobytes (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.configProtoBytes"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.configProtoBytes"]], "dosample (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.doSample"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.doSample"]], "ignoretokenids (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.ignoreTokenIds"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.ignoreTokenIds"]], "imagegeneratemode (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.imageGenerateMode"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.imageGenerateMode"]], "inputannotatortypes (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.inputAnnotatorTypes"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (janusformultimodal static method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.loadSavedModel"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.loadSavedModel"]], "maxoutputlength (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.maxOutputLength"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.maxOutputLength"]], "minoutputlength (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.minOutputLength"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.minOutputLength"]], "name (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.name"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.name"]], "norepeatngramsize (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.noRepeatNgramSize"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.noRepeatNgramSize"]], "numofparallelimages (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.numOfParallelImages"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.numOfParallelImages"]], "outputannotatortype (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.outputAnnotatorType"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.outputAnnotatorType"]], "pretrained() (janusformultimodal static method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.pretrained"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.pretrained"]], "repetitionpenalty (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.repetitionPenalty"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.repetitionPenalty"]], "setbeamsize() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setBeamSize"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setBeamSize"]], "setconfigprotobytes() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setConfigProtoBytes"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setConfigProtoBytes"]], "setdosample() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setDoSample"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setDoSample"]], "setignoretokenids() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setIgnoreTokenIds"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setIgnoreTokenIds"]], "setimagegeneratemode() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setImageGenerateMode"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setImageGenerateMode"]], "setmaxoutputlength() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxOutputLength"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxSentenceSize"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMinOutputLength"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNoRepeatNgramSize"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNoRepeatNgramSize"]], "setnumofparallelimages() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNumOfParallelImages"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setNumOfParallelImages"]], "setrepetitionpenalty() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setRepetitionPenalty"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setRepetitionPenalty"]], "settemperature() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTemperature"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTemperature"]], "settopk() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopK"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopK"]], "settopp() (janusformultimodal method)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopP"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.setTopP"]], "sparknlp.annotator.cv.janus_for_multimodal": [[71, "module-sparknlp.annotator.cv.janus_for_multimodal"], [331, "module-sparknlp.annotator.cv.janus_for_multimodal"]], "temperature (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.temperature"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.temperature"]], "topk (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topK"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topK"]], "topp (janusformultimodal attribute)": [[71, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topP"], [331, "sparknlp.annotator.cv.janus_for_multimodal.JanusForMultiModal.topP"]], "llavaformultimodal (class in sparknlp.annotator.cv.llava_for_multimodal)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal"]], "beamsize (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.beamSize"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.beamSize"]], "configprotobytes (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.configProtoBytes"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.configProtoBytes"]], "dosample (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.doSample"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.doSample"]], "ignoretokenids (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.ignoreTokenIds"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.ignoreTokenIds"]], "inputannotatortypes (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.inputAnnotatorTypes"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (llavaformultimodal static method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.loadSavedModel"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.loadSavedModel"]], "maxoutputlength (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.maxOutputLength"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.maxOutputLength"]], "minoutputlength (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.minOutputLength"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.minOutputLength"]], "name (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.name"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.name"]], "norepeatngramsize (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.noRepeatNgramSize"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.noRepeatNgramSize"]], "outputannotatortype (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.outputAnnotatorType"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.outputAnnotatorType"]], "pretrained() (llavaformultimodal static method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.pretrained"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.pretrained"]], "repetitionpenalty (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.repetitionPenalty"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.repetitionPenalty"]], "setbeamsize() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setBeamSize"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setBeamSize"]], "setconfigprotobytes() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setConfigProtoBytes"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setConfigProtoBytes"]], "setdosample() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setDoSample"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setDoSample"]], "setignoretokenids() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setIgnoreTokenIds"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxOutputLength"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxSentenceSize"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMinOutputLength"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setNoRepeatNgramSize"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setRepetitionPenalty"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setRepetitionPenalty"]], "settemperature() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTemperature"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTemperature"]], "settopk() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopK"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopK"]], "settopp() (llavaformultimodal method)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopP"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.setTopP"]], "sparknlp.annotator.cv.llava_for_multimodal": [[72, "module-sparknlp.annotator.cv.llava_for_multimodal"], [332, "module-sparknlp.annotator.cv.llava_for_multimodal"]], "temperature (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.temperature"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.temperature"]], "topk (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topK"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topK"]], "topp (llavaformultimodal attribute)": [[72, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topP"], [332, "sparknlp.annotator.cv.llava_for_multimodal.LLAVAForMultiModal.topP"]], "mllamaformultimodal (class in sparknlp.annotator.cv.mllama_for_multimodal)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal"]], "beamsize (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.beamSize"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.beamSize"]], "configprotobytes (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.configProtoBytes"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.configProtoBytes"]], "dosample (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.doSample"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.doSample"]], "ignoretokenids (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.ignoreTokenIds"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.ignoreTokenIds"]], "inputannotatortypes (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.inputAnnotatorTypes"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.inputAnnotatorTypes"]], "loadsavedmodel() (mllamaformultimodal static method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.loadSavedModel"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.loadSavedModel"]], "maxoutputlength (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.maxOutputLength"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.maxOutputLength"]], "minoutputlength (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.minOutputLength"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.minOutputLength"]], "name (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.name"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.name"]], "norepeatngramsize (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.noRepeatNgramSize"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.noRepeatNgramSize"]], "outputannotatortype (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.outputAnnotatorType"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.outputAnnotatorType"]], "pretrained() (mllamaformultimodal static method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.pretrained"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.pretrained"]], "repetitionpenalty (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.repetitionPenalty"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.repetitionPenalty"]], "setbeamsize() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setBeamSize"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setBeamSize"]], "setconfigprotobytes() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setConfigProtoBytes"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setConfigProtoBytes"]], "setdosample() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setDoSample"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setDoSample"]], "setignoretokenids() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setIgnoreTokenIds"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setIgnoreTokenIds"]], "setmaxoutputlength() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxOutputLength"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxOutputLength"]], "setmaxsentencesize() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxSentenceSize"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMaxSentenceSize"]], "setminoutputlength() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMinOutputLength"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setMinOutputLength"]], "setnorepeatngramsize() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setNoRepeatNgramSize"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setRepetitionPenalty"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setRepetitionPenalty"]], "settemperature() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTemperature"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTemperature"]], "settopk() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopK"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopK"]], "settopp() (mllamaformultimodal method)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopP"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.setTopP"]], "sparknlp.annotator.cv.mllama_for_multimodal": [[73, "module-sparknlp.annotator.cv.mllama_for_multimodal"], [333, "module-sparknlp.annotator.cv.mllama_for_multimodal"]], "temperature (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.temperature"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.temperature"]], "topk (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topK"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topK"]], "topp (mllamaformultimodal attribute)": [[73, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topP"], [333, "sparknlp.annotator.cv.mllama_for_multimodal.MLLamaForMultimodal.topP"]], "paligemmaformultimodal (class in sparknlp.annotator.cv.paligemma_for_multimodal)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal"]], "beamsize (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.beamSize"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.beamSize"]], "dosample (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.doSample"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.doSample"]], "ignoretokenids (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.ignoreTokenIds"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.ignoreTokenIds"]], "inputannotatortypes (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.inputAnnotatorTypes"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.inputAnnotatorTypes"]], "loadsavedmodel() (paligemmaformultimodal static method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.loadSavedModel"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.loadSavedModel"]], "maxoutputlength (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.maxOutputLength"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.maxOutputLength"]], "minoutputlength (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.minOutputLength"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.minOutputLength"]], "name (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.name"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.name"]], "norepeatngramsize (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.noRepeatNgramSize"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.noRepeatNgramSize"]], "outputannotatortype (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.outputAnnotatorType"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.outputAnnotatorType"]], "pretrained() (paligemmaformultimodal static method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.pretrained"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.pretrained"]], "repetitionpenalty (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.repetitionPenalty"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.repetitionPenalty"]], "setbeamsize() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setBeamSize"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setBeamSize"]], "setdosample() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setDoSample"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setDoSample"]], "setignoretokenids() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setIgnoreTokenIds"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setIgnoreTokenIds"]], "setmaxoutputlength() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxOutputLength"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxOutputLength"]], "setmaxsentencesize() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxSentenceSize"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMaxSentenceSize"]], "setminoutputlength() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMinOutputLength"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setMinOutputLength"]], "setnorepeatngramsize() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setNoRepeatNgramSize"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setNoRepeatNgramSize"]], "setrepetitionpenalty() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setRepetitionPenalty"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setRepetitionPenalty"]], "settemperature() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTemperature"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTemperature"]], "settopk() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopK"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopK"]], "settopp() (paligemmaformultimodal method)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopP"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.setTopP"]], "sparknlp.annotator.cv.paligemma_for_multimodal": [[74, "module-sparknlp.annotator.cv.paligemma_for_multimodal"], [334, "module-sparknlp.annotator.cv.paligemma_for_multimodal"]], "temperature (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.temperature"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.temperature"]], "topk (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topK"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topK"]], "topp (paligemmaformultimodal attribute)": [[74, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topP"], [334, "sparknlp.annotator.cv.paligemma_for_multimodal.PaliGemmaForMultiModal.topP"]], "phi3vision (class in sparknlp.annotator.cv.phi3_vision_for_multimodal)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision"]], "beamsize (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.beamSize"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.beamSize"]], "configprotobytes (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.configProtoBytes"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.configProtoBytes"]], "dosample (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.doSample"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.doSample"]], "ignoretokenids (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.ignoreTokenIds"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.ignoreTokenIds"]], "inputannotatortypes (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.inputAnnotatorTypes"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.inputAnnotatorTypes"]], "loadsavedmodel() (phi3vision static method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.loadSavedModel"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.loadSavedModel"]], "maxoutputlength (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.maxOutputLength"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.maxOutputLength"]], "minoutputlength (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.minOutputLength"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.minOutputLength"]], "name (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.name"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.name"]], "norepeatngramsize (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.noRepeatNgramSize"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.noRepeatNgramSize"]], "outputannotatortype (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.outputAnnotatorType"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.outputAnnotatorType"]], "pretrained() (phi3vision static method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.pretrained"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.pretrained"]], "repetitionpenalty (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.repetitionPenalty"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.repetitionPenalty"]], "setbeamsize() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setBeamSize"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setBeamSize"]], "setconfigprotobytes() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setConfigProtoBytes"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setConfigProtoBytes"]], "setdosample() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setDoSample"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setDoSample"]], "setignoretokenids() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setIgnoreTokenIds"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setIgnoreTokenIds"]], "setmaxoutputlength() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxOutputLength"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxOutputLength"]], "setmaxsentencesize() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxSentenceSize"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMaxSentenceSize"]], "setminoutputlength() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMinOutputLength"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setMinOutputLength"]], "setnorepeatngramsize() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setNoRepeatNgramSize"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setRepetitionPenalty"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setRepetitionPenalty"]], "settemperature() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTemperature"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTemperature"]], "settopk() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopK"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopK"]], "settopp() (phi3vision method)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopP"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.setTopP"]], "sparknlp.annotator.cv.phi3_vision_for_multimodal": [[75, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"], [335, "module-sparknlp.annotator.cv.phi3_vision_for_multimodal"]], "temperature (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.temperature"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.temperature"]], "topk (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topK"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topK"]], "topp (phi3vision attribute)": [[75, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topP"], [335, "sparknlp.annotator.cv.phi3_vision_for_multimodal.Phi3Vision.topP"]], "qwen2vltransformer (class in sparknlp.annotator.cv.qwen2vl_transformer)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer"]], "beamsize (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.beamSize"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.beamSize"]], "configprotobytes (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.configProtoBytes"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.configProtoBytes"]], "dosample (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.doSample"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.doSample"]], "ignoretokenids (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.ignoreTokenIds"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.ignoreTokenIds"]], "inputannotatortypes (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.inputAnnotatorTypes"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (qwen2vltransformer static method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.loadSavedModel"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.loadSavedModel"]], "maxoutputlength (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.maxOutputLength"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.maxOutputLength"]], "minoutputlength (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.minOutputLength"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.minOutputLength"]], "name (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.name"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.name"]], "norepeatngramsize (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.noRepeatNgramSize"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.noRepeatNgramSize"]], "outputannotatortype (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.outputAnnotatorType"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.outputAnnotatorType"]], "pretrained() (qwen2vltransformer static method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.pretrained"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.pretrained"]], "repetitionpenalty (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.repetitionPenalty"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.repetitionPenalty"]], "setbeamsize() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setBeamSize"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setBeamSize"]], "setconfigprotobytes() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setConfigProtoBytes"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setConfigProtoBytes"]], "setdosample() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setDoSample"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setDoSample"]], "setignoretokenids() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setIgnoreTokenIds"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxOutputLength"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxOutputLength"]], "setmaxsentencesize() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxSentenceSize"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMaxSentenceSize"]], "setminoutputlength() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMinOutputLength"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setMinOutputLength"]], "setnorepeatngramsize() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setNoRepeatNgramSize"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setRepetitionPenalty"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setRepetitionPenalty"]], "settemperature() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTemperature"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTemperature"]], "settopk() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopK"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopK"]], "settopp() (qwen2vltransformer method)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopP"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.setTopP"]], "sparknlp.annotator.cv.qwen2vl_transformer": [[76, "module-sparknlp.annotator.cv.qwen2vl_transformer"], [336, "module-sparknlp.annotator.cv.qwen2vl_transformer"]], "temperature (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.temperature"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.temperature"]], "topk (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topK"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topK"]], "topp (qwen2vltransformer attribute)": [[76, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topP"], [336, "sparknlp.annotator.cv.qwen2vl_transformer.Qwen2VLTransformer.topP"]], "smolvlmtransformer (class in sparknlp.annotator.cv.smolvlm_transformer)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer"]], "beamsize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.beamSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.beamSize"]], "doimagesplitting (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doImageSplitting"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doImageSplitting"]], "dosample (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doSample"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.doSample"]], "ignoretokenids (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.ignoreTokenIds"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.ignoreTokenIds"]], "imagetoken (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.imageToken"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.imageToken"]], "inputannotatortypes (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.inputAnnotatorTypes"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (smolvlmtransformer static method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.loadSavedModel"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.loadSavedModel"]], "maximagesize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxImageSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxImageSize"]], "maxoutputlength (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxOutputLength"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.maxOutputLength"]], "minoutputlength (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.minOutputLength"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.minOutputLength"]], "name (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.name"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.name"]], "norepeatngramsize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.noRepeatNgramSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.noRepeatNgramSize"]], "numvisiontokens (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.numVisionTokens"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.numVisionTokens"]], "outputannotatortype (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.outputAnnotatorType"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.outputAnnotatorType"]], "paddingconstant (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.paddingConstant"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.paddingConstant"]], "patchsize (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.patchSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.patchSize"]], "pretrained() (smolvlmtransformer static method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.pretrained"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.pretrained"]], "repetitionpenalty (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.repetitionPenalty"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.repetitionPenalty"]], "setbeamsize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setBeamSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setBeamSize"]], "setconfigprotobytes() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setConfigProtoBytes"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setConfigProtoBytes"]], "setdoimagesplitting() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoImageSplitting"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoImageSplitting"]], "setdosample() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoSample"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setDoSample"]], "setignoretokenids() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setIgnoreTokenIds"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setIgnoreTokenIds"]], "setimagetoken() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setImageToken"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setImageToken"]], "setmaximagesize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxImageSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxImageSize"]], "setmaxoutputlength() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxOutputLength"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxOutputLength"]], "setmaxsentencesize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxSentenceSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMaxSentenceSize"]], "setminoutputlength() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMinOutputLength"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setMinOutputLength"]], "setnorepeatngramsize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNoRepeatNgramSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNoRepeatNgramSize"]], "setnumvisiontokens() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNumVisionTokens"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setNumVisionTokens"]], "setpaddingconstant() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPaddingConstant"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPaddingConstant"]], "setpatchsize() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPatchSize"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setPatchSize"]], "setrepetitionpenalty() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setRepetitionPenalty"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setRepetitionPenalty"]], "setstoptokenids() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setStopTokenIds"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setStopTokenIds"]], "settemperature() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTemperature"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTemperature"]], "settopk() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopK"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopK"]], "settopp() (smolvlmtransformer method)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopP"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.setTopP"]], "sparknlp.annotator.cv.smolvlm_transformer": [[77, "module-sparknlp.annotator.cv.smolvlm_transformer"], [337, "module-sparknlp.annotator.cv.smolvlm_transformer"]], "stoptokenids (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.stopTokenIds"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.stopTokenIds"]], "temperature (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.temperature"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.temperature"]], "topk (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topK"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topK"]], "topp (smolvlmtransformer attribute)": [[77, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topP"], [337, "sparknlp.annotator.cv.smolvlm_transformer.SmolVLMTransformer.topP"]], "swinforimageclassification (class in sparknlp.annotator.cv.swin_for_image_classification)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification"]], "configprotobytes (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.configProtoBytes"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.configProtoBytes"]], "getclasses() (swinforimageclassification method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.getClasses"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.getClasses"]], "inputannotatortypes (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.inputAnnotatorTypes"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.inputAnnotatorTypes"]], "loadsavedmodel() (swinforimageclassification static method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.loadSavedModel"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.loadSavedModel"]], "name (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.name"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.name"]], "outputannotatortype (swinforimageclassification attribute)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.outputAnnotatorType"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.outputAnnotatorType"]], "pretrained() (swinforimageclassification static method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.pretrained"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.pretrained"]], "setconfigprotobytes() (swinforimageclassification method)": [[78, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.setConfigProtoBytes"], [338, "sparknlp.annotator.cv.swin_for_image_classification.SwinForImageClassification.setConfigProtoBytes"]], "sparknlp.annotator.cv.swin_for_image_classification": [[78, "module-sparknlp.annotator.cv.swin_for_image_classification"], [338, "module-sparknlp.annotator.cv.swin_for_image_classification"]], "visionencoderdecoderforimagecaptioning (class in sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning"]], "configprotobytes (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.configProtoBytes"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.configProtoBytes"]], "inputannotatortypes (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.inputAnnotatorTypes"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.inputAnnotatorTypes"]], "loadsavedmodel() (visionencoderdecoderforimagecaptioning static method)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.loadSavedModel"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.loadSavedModel"]], "name (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.name"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.name"]], "outputannotatortype (visionencoderdecoderforimagecaptioning attribute)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.outputAnnotatorType"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.outputAnnotatorType"]], "pretrained() (visionencoderdecoderforimagecaptioning static method)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.pretrained"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.pretrained"]], "setconfigprotobytes() (visionencoderdecoderforimagecaptioning method)": [[79, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.setConfigProtoBytes"], [339, "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning.VisionEncoderDecoderForImageCaptioning.setConfigProtoBytes"]], "sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning": [[79, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"], [339, "module-sparknlp.annotator.cv.vision_encoder_decoder_for_image_captioning"]], "vitforimageclassification (class in sparknlp.annotator.cv.vit_for_image_classification)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification"]], "configprotobytes (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.configProtoBytes"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.configProtoBytes"]], "getclasses() (vitforimageclassification method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.getClasses"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.getClasses"]], "inputannotatortypes (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.inputAnnotatorTypes"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.inputAnnotatorTypes"]], "loadsavedmodel() (vitforimageclassification static method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.loadSavedModel"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.loadSavedModel"]], "name (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.name"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.name"]], "outputannotatortype (vitforimageclassification attribute)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.outputAnnotatorType"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.outputAnnotatorType"]], "pretrained() (vitforimageclassification static method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.pretrained"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.pretrained"]], "setconfigprotobytes() (vitforimageclassification method)": [[80, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.setConfigProtoBytes"], [340, "sparknlp.annotator.cv.vit_for_image_classification.ViTForImageClassification.setConfigProtoBytes"]], "sparknlp.annotator.cv.vit_for_image_classification": [[80, "module-sparknlp.annotator.cv.vit_for_image_classification"], [340, "module-sparknlp.annotator.cv.vit_for_image_classification"]], "dataframeoptimizer (class in sparknlp.annotator.dataframe_optimizer)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer"]], "docache (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.doCache"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.doCache"]], "executorcores (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.executorCores"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.executorCores"]], "numpartitions (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numPartitions"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numPartitions"]], "numworkers (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numWorkers"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.numWorkers"]], "outputoptions (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.outputOptions"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.outputOptions"]], "persistformat (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistFormat"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistFormat"]], "persistpath (dataframeoptimizer attribute)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistPath"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.persistPath"]], "setdocache() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setDoCache"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setDoCache"]], "setexecutorcores() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setExecutorCores"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setExecutorCores"]], "setnumpartitions() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumPartitions"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumPartitions"]], "setnumworkers() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumWorkers"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setNumWorkers"]], "setoutputoptions() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setOutputOptions"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setOutputOptions"]], "setparams() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setParams"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setParams"]], "setpersistformat() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistFormat"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistFormat"]], "setpersistpath() (dataframeoptimizer method)": [[81, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistPath"], [341, "sparknlp.annotator.dataframe_optimizer.DataFrameOptimizer.setPersistPath"]], "sparknlp.annotator.dataframe_optimizer": [[81, "module-sparknlp.annotator.dataframe_optimizer"], [341, "module-sparknlp.annotator.dataframe_optimizer"]], "tostringdict() (in module sparknlp.annotator.dataframe_optimizer)": [[81, "sparknlp.annotator.dataframe_optimizer.toStringDict"], [341, "sparknlp.annotator.dataframe_optimizer.toStringDict"]], "date2chunk (class in sparknlp.annotator.date2_chunk)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk"], [342, "sparknlp.annotator.date2_chunk.Date2Chunk"]], "entityname (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.entityName"], [342, "sparknlp.annotator.date2_chunk.Date2Chunk.entityName"]], "inputannotatortypes (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.inputAnnotatorTypes"], [342, "sparknlp.annotator.date2_chunk.Date2Chunk.inputAnnotatorTypes"]], "name (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.name"], [342, "sparknlp.annotator.date2_chunk.Date2Chunk.name"]], "outputannotatortype (date2chunk attribute)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.outputAnnotatorType"], [342, "sparknlp.annotator.date2_chunk.Date2Chunk.outputAnnotatorType"]], "setentityname() (date2chunk method)": [[82, "sparknlp.annotator.date2_chunk.Date2Chunk.setEntityName"], [342, "sparknlp.annotator.date2_chunk.Date2Chunk.setEntityName"]], "sparknlp.annotator.date2_chunk": [[82, "module-sparknlp.annotator.date2_chunk"], [342, "module-sparknlp.annotator.date2_chunk"]], "sparknlp.annotator.dependency": [[83, "module-sparknlp.annotator.dependency"], [344, "module-sparknlp.annotator.dependency"]], "dependencyparserapproach (class in sparknlp.annotator.dependency.dependency_parser)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach"]], "dependencyparsermodel (class in sparknlp.annotator.dependency.dependency_parser)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel"]], "conllu (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.conllU"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.conllU"]], "dependencytreebank (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.dependencyTreeBank"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.dependencyTreeBank"]], "inputannotatortypes (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.inputAnnotatorTypes"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.inputAnnotatorTypes"]], "inputannotatortypes (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.inputAnnotatorTypes"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.inputAnnotatorTypes"]], "name (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.name"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.name"]], "numberofiterations (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.numberOfIterations"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.numberOfIterations"]], "outputannotatortype (dependencyparserapproach attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.outputAnnotatorType"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.outputAnnotatorType"]], "outputannotatortype (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.outputAnnotatorType"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.outputAnnotatorType"]], "perceptron (dependencyparsermodel attribute)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.perceptron"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.perceptron"]], "pretrained() (dependencyparsermodel static method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.pretrained"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserModel.pretrained"]], "setconllu() (dependencyparserapproach method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setConllU"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setConllU"]], "setdependencytreebank() (dependencyparserapproach method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setDependencyTreeBank"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setDependencyTreeBank"]], "setnumberofiterations() (dependencyparserapproach method)": [[84, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setNumberOfIterations"], [343, "sparknlp.annotator.dependency.dependency_parser.DependencyParserApproach.setNumberOfIterations"]], "sparknlp.annotator.dependency.dependency_parser": [[84, "module-sparknlp.annotator.dependency.dependency_parser"], [343, "module-sparknlp.annotator.dependency.dependency_parser"]], "typeddependencyparserapproach (class in sparknlp.annotator.dependency.typed_dependency_parser)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach"]], "typeddependencyparsermodel (class in sparknlp.annotator.dependency.typed_dependency_parser)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel"]], "conll2009 (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conll2009"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conll2009"]], "conllformat (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.conllFormat"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.conllFormat"]], "conllu (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conllU"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.conllU"]], "inputannotatortypes (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.inputAnnotatorTypes"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.inputAnnotatorTypes"]], "inputannotatortypes (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.inputAnnotatorTypes"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.inputAnnotatorTypes"]], "name (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.name"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.name"]], "numberofiterations (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.numberOfIterations"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.numberOfIterations"]], "outputannotatortype (typeddependencyparserapproach attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.outputAnnotatorType"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.outputAnnotatorType"]], "outputannotatortype (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.outputAnnotatorType"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.outputAnnotatorType"]], "pretrained() (typeddependencyparsermodel static method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.pretrained"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.pretrained"]], "setconll2009() (typeddependencyparserapproach method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConll2009"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConll2009"]], "setconllu() (typeddependencyparserapproach method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConllU"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setConllU"]], "setnumberofiterations() (typeddependencyparserapproach method)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setNumberOfIterations"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserApproach.setNumberOfIterations"]], "sparknlp.annotator.dependency.typed_dependency_parser": [[85, "module-sparknlp.annotator.dependency.typed_dependency_parser"], [345, "module-sparknlp.annotator.dependency.typed_dependency_parser"]], "traindependencypipe (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainDependencyPipe"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainDependencyPipe"]], "trainoptions (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainOptions"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainOptions"]], "trainparameters (typeddependencyparsermodel attribute)": [[85, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainParameters"], [345, "sparknlp.annotator.dependency.typed_dependency_parser.TypedDependencyParserModel.trainParameters"]], "documentcharactertextsplitter (class in sparknlp.annotator.document_character_text_splitter)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter"]], "chunkoverlap (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkOverlap"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkOverlap"]], "chunksize (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkSize"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.chunkSize"]], "explodesplits (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.explodeSplits"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.explodeSplits"]], "inputannotatortypes (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.inputAnnotatorTypes"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.inputAnnotatorTypes"]], "keepseparators (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.keepSeparators"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.keepSeparators"]], "outputannotatortype (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.outputAnnotatorType"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.outputAnnotatorType"]], "patternsareregex (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.patternsAreRegex"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.patternsAreRegex"]], "setchunkoverlap() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkOverlap"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkOverlap"]], "setchunksize() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkSize"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setChunkSize"]], "setexplodesplits() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setExplodeSplits"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setExplodeSplits"]], "setkeepseparators() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setKeepSeparators"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setKeepSeparators"]], "setpatternsareregex() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setPatternsAreRegex"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setPatternsAreRegex"]], "setsplitpatterns() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setSplitPatterns"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setSplitPatterns"]], "settrimwhitespace() (documentcharactertextsplitter method)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setTrimWhitespace"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.setTrimWhitespace"]], "sparknlp.annotator.document_character_text_splitter": [[86, "module-sparknlp.annotator.document_character_text_splitter"], [346, "module-sparknlp.annotator.document_character_text_splitter"]], "splitpatterns (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.splitPatterns"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.splitPatterns"]], "trimwhitespace (documentcharactertextsplitter attribute)": [[86, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.trimWhitespace"], [346, "sparknlp.annotator.document_character_text_splitter.DocumentCharacterTextSplitter.trimWhitespace"]], "documentnormalizer (class in sparknlp.annotator.document_normalizer)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer"]], "action (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.action"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.action"]], "automode (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.autoMode"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.autoMode"]], "encoding (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.encoding"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.encoding"]], "inputannotatortypes (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.inputAnnotatorTypes"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.inputAnnotatorTypes"]], "lowercase (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.lowercase"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.lowercase"]], "outputannotatortype (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.outputAnnotatorType"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.outputAnnotatorType"]], "patterns (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.patterns"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.patterns"]], "policy (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.policy"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.policy"]], "presetpattern (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.presetPattern"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.presetPattern"]], "replacement (documentnormalizer attribute)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.replacement"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.replacement"]], "setaction() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setAction"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setAction"]], "setautomode() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setAutoMode"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setAutoMode"]], "setencoding() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setEncoding"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setEncoding"]], "setlowercase() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setLowercase"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setLowercase"]], "setpatterns() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPatterns"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPatterns"]], "setpolicy() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPolicy"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPolicy"]], "setpresetpattern() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPresetPattern"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setPresetPattern"]], "setreplacement() (documentnormalizer method)": [[87, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setReplacement"], [347, "sparknlp.annotator.document_normalizer.DocumentNormalizer.setReplacement"]], "sparknlp.annotator.document_normalizer": [[87, "module-sparknlp.annotator.document_normalizer"], [347, "module-sparknlp.annotator.document_normalizer"]], "documenttokensplitter (class in sparknlp.annotator.document_token_splitter)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter"]], "explodesplits (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.explodeSplits"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.explodeSplits"]], "inputannotatortypes (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.inputAnnotatorTypes"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.inputAnnotatorTypes"]], "numtokens (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.numTokens"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.numTokens"]], "outputannotatortype (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.outputAnnotatorType"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.outputAnnotatorType"]], "setexplodesplits() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setExplodeSplits"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setExplodeSplits"]], "setnumtokens() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setNumTokens"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setNumTokens"]], "settokenoverlap() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTokenOverlap"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTokenOverlap"]], "settrimwhitespace() (documenttokensplitter method)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTrimWhitespace"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.setTrimWhitespace"]], "sparknlp.annotator.document_token_splitter": [[88, "module-sparknlp.annotator.document_token_splitter"], [348, "module-sparknlp.annotator.document_token_splitter"]], "tokenoverlap (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.tokenOverlap"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.tokenOverlap"]], "trimwhitespace (documenttokensplitter attribute)": [[88, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.trimWhitespace"], [348, "sparknlp.annotator.document_token_splitter.DocumentTokenSplitter.trimWhitespace"]], "sparknlp.annotator.embeddings": [[90, "module-sparknlp.annotator.embeddings"], [363, "module-sparknlp.annotator.embeddings"]], "albertembeddings (class in sparknlp.annotator.embeddings.albert_embeddings)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings"]], "configprotobytes (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.configProtoBytes"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.configProtoBytes"]], "inputannotatortypes (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.inputAnnotatorTypes"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (albertembeddings static method)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.loadSavedModel"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.loadSavedModel"]], "name (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.name"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.name"]], "outputannotatortype (albertembeddings attribute)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.outputAnnotatorType"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.outputAnnotatorType"]], "pretrained() (albertembeddings static method)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.pretrained"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.pretrained"]], "setconfigprotobytes() (albertembeddings method)": [[91, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.setConfigProtoBytes"], [350, "sparknlp.annotator.embeddings.albert_embeddings.AlbertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.albert_embeddings": [[91, "module-sparknlp.annotator.embeddings.albert_embeddings"], [350, "module-sparknlp.annotator.embeddings.albert_embeddings"]], "autoggufembeddings (class in sparknlp.annotator.embeddings.auto_gguf_embeddings)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings"]], "close() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.close"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.close"]], "defragmentationthreshold (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.defragmentationThreshold"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.defragmentationThreshold"]], "flashattention (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.flashAttention"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.flashAttention"]], "getmetadata() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.getMetadata"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.getMetadata"]], "gpusplitmode (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.gpuSplitMode"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.gpuSplitMode"]], "grpattnn (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnN"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnN"]], "grpattnw (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnW"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.grpAttnW"]], "inputannotatortypes (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.inputAnnotatorTypes"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufembeddings static method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.loadSavedModel"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.loadSavedModel"]], "maingpu (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.mainGpu"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.mainGpu"]], "nbatch (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nBatch"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nBatch"]], "nchunks (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nChunks"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nChunks"]], "nctx (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nCtx"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nCtx"]], "ngpulayers (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nGpuLayers"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nGpuLayers"]], "nsequences (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nSequences"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nSequences"]], "nthreads (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreads"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreads"]], "nthreadsbatch (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreadsBatch"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nThreadsBatch"]], "nubatch (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nUbatch"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.nUbatch"]], "name (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.name"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.name"]], "nokvoffload (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.noKvOffload"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.noKvOffload"]], "numastrategy (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.numaStrategy"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.numaStrategy"]], "outputannotatortype (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.outputAnnotatorType"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.outputAnnotatorType"]], "poolingtype (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.poolingType"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.poolingType"]], "pretrained() (autoggufembeddings static method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.pretrained"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.pretrained"]], "ropefreqbase (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqBase"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqBase"]], "ropefreqscale (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqScale"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeFreqScale"]], "ropescalingtype (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeScalingType"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.ropeScalingType"]], "setdefragmentationthreshold() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setDefragmentationThreshold"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setDefragmentationThreshold"]], "setflashattention() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setFlashAttention"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setFlashAttention"]], "setgpusplitmode() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGpuSplitMode"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGpuSplitMode"]], "setgrpattnn() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnN"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnN"]], "setgrpattnw() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnW"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setGrpAttnW"]], "setmaingpu() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setMainGpu"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setMainGpu"]], "setnbatch() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNBatch"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNBatch"]], "setnchunks() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNChunks"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNChunks"]], "setnctx() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNCtx"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNCtx"]], "setngpulayers() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNGpuLayers"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNGpuLayers"]], "setnparallel() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNParallel"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNParallel"]], "setnsequences() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNSequences"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNSequences"]], "setnthreads() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreads"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreads"]], "setnthreadsbatch() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreadsBatch"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNThreadsBatch"]], "setnubatch() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNUbatch"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNUbatch"]], "setnokvoffload() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNoKvOffload"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNoKvOffload"]], "setnumastrategy() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNumaStrategy"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setNumaStrategy"]], "setpoolingtype() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setPoolingType"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setPoolingType"]], "setropefreqbase() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqBase"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqBase"]], "setropefreqscale() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqScale"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeFreqScale"]], "setropescalingtype() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeScalingType"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setRopeScalingType"]], "settensorsplit() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setTensorSplit"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setTensorSplit"]], "setusemlock() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMlock"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMlock"]], "setusemmap() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMmap"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setUseMmap"]], "setyarnattnfactor() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnAttnFactor"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnAttnFactor"]], "setyarnbetafast() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaFast"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaFast"]], "setyarnbetaslow() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaSlow"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnBetaSlow"]], "setyarnextfactor() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnExtFactor"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnExtFactor"]], "setyarnorigctx() (autoggufembeddings method)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnOrigCtx"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.setYarnOrigCtx"]], "sparknlp.annotator.embeddings.auto_gguf_embeddings": [[92, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"], [351, "module-sparknlp.annotator.embeddings.auto_gguf_embeddings"]], "tensorsplit (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.tensorSplit"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.tensorSplit"]], "usemlock (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMlock"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMlock"]], "usemmap (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMmap"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.useMmap"]], "yarnattnfactor (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnAttnFactor"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnAttnFactor"]], "yarnbetafast (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaFast"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaFast"]], "yarnbetaslow (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaSlow"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnBetaSlow"]], "yarnextfactor (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnExtFactor"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnExtFactor"]], "yarnorigctx (autoggufembeddings attribute)": [[92, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnOrigCtx"], [351, "sparknlp.annotator.embeddings.auto_gguf_embeddings.AutoGGUFEmbeddings.yarnOrigCtx"]], "bertembeddings (class in sparknlp.annotator.embeddings.bert_embeddings)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings"]], "configprotobytes (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.configProtoBytes"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.configProtoBytes"]], "inputannotatortypes (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.inputAnnotatorTypes"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (bertembeddings static method)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.loadSavedModel"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.loadSavedModel"]], "name (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.name"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.name"]], "outputannotatortype (bertembeddings attribute)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.outputAnnotatorType"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.outputAnnotatorType"]], "pretrained() (bertembeddings static method)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.pretrained"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.pretrained"]], "setconfigprotobytes() (bertembeddings method)": [[93, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.setConfigProtoBytes"], [352, "sparknlp.annotator.embeddings.bert_embeddings.BertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.bert_embeddings": [[93, "module-sparknlp.annotator.embeddings.bert_embeddings"], [352, "module-sparknlp.annotator.embeddings.bert_embeddings"]], "bertsentenceembeddings (class in sparknlp.annotator.embeddings.bert_sentence_embeddings)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings"]], "configprotobytes (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.configProtoBytes"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.configProtoBytes"]], "inputannotatortypes (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.inputAnnotatorTypes"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.inputAnnotatorTypes"]], "islong (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.isLong"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.isLong"]], "loadsavedmodel() (bertsentenceembeddings static method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.loadSavedModel"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.loadSavedModel"]], "name (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.name"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.name"]], "outputannotatortype (bertsentenceembeddings attribute)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.outputAnnotatorType"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.outputAnnotatorType"]], "pretrained() (bertsentenceembeddings static method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.pretrained"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.pretrained"]], "setconfigprotobytes() (bertsentenceembeddings method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setConfigProtoBytes"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setConfigProtoBytes"]], "setislong() (bertsentenceembeddings method)": [[94, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setIsLong"], [353, "sparknlp.annotator.embeddings.bert_sentence_embeddings.BertSentenceEmbeddings.setIsLong"]], "sparknlp.annotator.embeddings.bert_sentence_embeddings": [[94, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"], [353, "module-sparknlp.annotator.embeddings.bert_sentence_embeddings"]], "bgeembeddings (class in sparknlp.annotator.embeddings.bge_embeddings)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings"]], "configprotobytes (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.configProtoBytes"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.configProtoBytes"]], "inputannotatortypes (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.inputAnnotatorTypes"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (bgeembeddings static method)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.loadSavedModel"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.loadSavedModel"]], "name (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.name"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.name"]], "outputannotatortype (bgeembeddings attribute)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.outputAnnotatorType"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.outputAnnotatorType"]], "pretrained() (bgeembeddings static method)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.pretrained"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.pretrained"]], "setconfigprotobytes() (bgeembeddings method)": [[95, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.setConfigProtoBytes"], [354, "sparknlp.annotator.embeddings.bge_embeddings.BGEEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.bge_embeddings": [[95, "module-sparknlp.annotator.embeddings.bge_embeddings"], [354, "module-sparknlp.annotator.embeddings.bge_embeddings"]], "camembertembeddings (class in sparknlp.annotator.embeddings.camembert_embeddings)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings"]], "configprotobytes (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.configProtoBytes"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.configProtoBytes"]], "inputannotatortypes (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.inputAnnotatorTypes"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (camembertembeddings static method)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.loadSavedModel"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.loadSavedModel"]], "name (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.name"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.name"]], "outputannotatortype (camembertembeddings attribute)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.outputAnnotatorType"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.outputAnnotatorType"]], "pretrained() (camembertembeddings static method)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.pretrained"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.pretrained"]], "setconfigprotobytes() (camembertembeddings method)": [[96, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.setConfigProtoBytes"], [355, "sparknlp.annotator.embeddings.camembert_embeddings.CamemBertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.camembert_embeddings": [[96, "module-sparknlp.annotator.embeddings.camembert_embeddings"], [355, "module-sparknlp.annotator.embeddings.camembert_embeddings"]], "chunkembeddings (class in sparknlp.annotator.embeddings.chunk_embeddings)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings"]], "inputannotatortypes (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.inputAnnotatorTypes"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.inputAnnotatorTypes"]], "name (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.name"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.name"]], "outputannotatortype (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.outputAnnotatorType"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.outputAnnotatorType"]], "poolingstrategy (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.poolingStrategy"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.poolingStrategy"]], "setpoolingstrategy() (chunkembeddings method)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setPoolingStrategy"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setPoolingStrategy"]], "setskipoov() (chunkembeddings method)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setSkipOOV"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.setSkipOOV"]], "skipoov (chunkembeddings attribute)": [[97, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.skipOOV"], [356, "sparknlp.annotator.embeddings.chunk_embeddings.ChunkEmbeddings.skipOOV"]], "sparknlp.annotator.embeddings.chunk_embeddings": [[97, "module-sparknlp.annotator.embeddings.chunk_embeddings"], [356, "module-sparknlp.annotator.embeddings.chunk_embeddings"]], "debertaembeddings (class in sparknlp.annotator.embeddings.deberta_embeddings)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings"]], "configprotobytes (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.configProtoBytes"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.configProtoBytes"]], "inputannotatortypes (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.inputAnnotatorTypes"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (debertaembeddings static method)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.loadSavedModel"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.loadSavedModel"]], "name (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.name"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.name"]], "outputannotatortype (debertaembeddings attribute)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.outputAnnotatorType"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.outputAnnotatorType"]], "pretrained() (debertaembeddings static method)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.pretrained"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.pretrained"]], "setconfigprotobytes() (debertaembeddings method)": [[98, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.setConfigProtoBytes"], [357, "sparknlp.annotator.embeddings.deberta_embeddings.DeBertaEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.deberta_embeddings": [[98, "module-sparknlp.annotator.embeddings.deberta_embeddings"], [357, "module-sparknlp.annotator.embeddings.deberta_embeddings"]], "distilbertembeddings (class in sparknlp.annotator.embeddings.distil_bert_embeddings)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings"]], "configprotobytes (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.configProtoBytes"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.configProtoBytes"]], "inputannotatortypes (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.inputAnnotatorTypes"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (distilbertembeddings static method)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.loadSavedModel"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.loadSavedModel"]], "name (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.name"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.name"]], "outputannotatortype (distilbertembeddings attribute)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.outputAnnotatorType"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.outputAnnotatorType"]], "pretrained() (distilbertembeddings static method)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.pretrained"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.pretrained"]], "setconfigprotobytes() (distilbertembeddings method)": [[99, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.setConfigProtoBytes"], [358, "sparknlp.annotator.embeddings.distil_bert_embeddings.DistilBertEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.distil_bert_embeddings": [[99, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"], [358, "module-sparknlp.annotator.embeddings.distil_bert_embeddings"]], "doc2vecapproach (class in sparknlp.annotator.embeddings.doc2vec)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach"]], "doc2vecmodel (class in sparknlp.annotator.embeddings.doc2vec)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel"]], "getvectors() (doc2vecmodel method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.getVectors"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.getVectors"]], "inputannotatortypes (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.inputAnnotatorTypes"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.inputAnnotatorTypes"]], "inputannotatortypes (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.inputAnnotatorTypes"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.inputAnnotatorTypes"]], "maxiter (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxIter"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxIter"]], "maxsentencelength (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxSentenceLength"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.maxSentenceLength"]], "mincount (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.minCount"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.minCount"]], "name (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.name"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.name"]], "numpartitions (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.numPartitions"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.numPartitions"]], "outputannotatortype (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.outputAnnotatorType"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.outputAnnotatorType"]], "outputannotatortype (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.outputAnnotatorType"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.outputAnnotatorType"]], "pretrained() (doc2vecmodel static method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.pretrained"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.pretrained"]], "seed (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.seed"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.seed"]], "setmaxiter() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxIter"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxIter"]], "setmaxsentencelength() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxSentenceLength"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMaxSentenceLength"]], "setmincount() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMinCount"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setMinCount"]], "setnumpartitions() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setNumPartitions"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setNumPartitions"]], "setseed() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setSeed"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setSeed"]], "setstepsize() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setStepSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setStepSize"]], "setvectorsize() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setVectorSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setVectorSize"]], "setvectorsize() (doc2vecmodel method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.setVectorSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.setVectorSize"]], "setwindowsize() (doc2vecapproach method)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setWindowSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.setWindowSize"]], "sparknlp.annotator.embeddings.doc2vec": [[100, "module-sparknlp.annotator.embeddings.doc2vec"], [359, "module-sparknlp.annotator.embeddings.doc2vec"]], "stepsize (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.stepSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.stepSize"]], "vectorsize (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.vectorSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.vectorSize"]], "vectorsize (doc2vecmodel attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.vectorSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecModel.vectorSize"]], "windowsize (doc2vecapproach attribute)": [[100, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.windowSize"], [359, "sparknlp.annotator.embeddings.doc2vec.Doc2VecApproach.windowSize"]], "e5embeddings (class in sparknlp.annotator.embeddings.e5_embeddings)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings"]], "configprotobytes (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.configProtoBytes"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.configProtoBytes"]], "inputannotatortypes (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.inputAnnotatorTypes"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.inputAnnotatorTypes"]], "loadsavedmodel() (e5embeddings static method)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.loadSavedModel"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.loadSavedModel"]], "name (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.name"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.name"]], "outputannotatortype (e5embeddings attribute)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.outputAnnotatorType"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.outputAnnotatorType"]], "pretrained() (e5embeddings static method)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.pretrained"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.pretrained"]], "setconfigprotobytes() (e5embeddings method)": [[101, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.setConfigProtoBytes"], [360, "sparknlp.annotator.embeddings.e5_embeddings.E5Embeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.e5_embeddings": [[101, "module-sparknlp.annotator.embeddings.e5_embeddings"], [360, "module-sparknlp.annotator.embeddings.e5_embeddings"]], "e5vembeddings (class in sparknlp.annotator.embeddings.e5v_embeddings)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings"], [361, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings"]], "inputannotatortypes (e5vembeddings attribute)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.inputAnnotatorTypes"], [361, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (e5vembeddings static method)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.loadSavedModel"], [361, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.loadSavedModel"]], "name (e5vembeddings attribute)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.name"], [361, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.name"]], "outputannotatortype (e5vembeddings attribute)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.outputAnnotatorType"], [361, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.outputAnnotatorType"]], "pretrained() (e5vembeddings static method)": [[102, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.pretrained"], [361, "sparknlp.annotator.embeddings.e5v_embeddings.E5VEmbeddings.pretrained"]], "sparknlp.annotator.embeddings.e5v_embeddings": [[102, "module-sparknlp.annotator.embeddings.e5v_embeddings"], [361, "module-sparknlp.annotator.embeddings.e5v_embeddings"]], "elmoembeddings (class in sparknlp.annotator.embeddings.elmo_embeddings)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings"]], "batchsize (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.batchSize"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.batchSize"]], "configprotobytes (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.configProtoBytes"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.configProtoBytes"]], "inputannotatortypes (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.inputAnnotatorTypes"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (elmoembeddings static method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.loadSavedModel"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.loadSavedModel"]], "name (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.name"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.name"]], "outputannotatortype (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.outputAnnotatorType"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.outputAnnotatorType"]], "poolinglayer (elmoembeddings attribute)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.poolingLayer"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.poolingLayer"]], "pretrained() (elmoembeddings static method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.pretrained"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.pretrained"]], "setbatchsize() (elmoembeddings method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setBatchSize"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setBatchSize"]], "setconfigprotobytes() (elmoembeddings method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setConfigProtoBytes"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setConfigProtoBytes"]], "setpoolinglayer() (elmoembeddings method)": [[103, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setPoolingLayer"], [362, "sparknlp.annotator.embeddings.elmo_embeddings.ElmoEmbeddings.setPoolingLayer"]], "sparknlp.annotator.embeddings.elmo_embeddings": [[103, "module-sparknlp.annotator.embeddings.elmo_embeddings"], [362, "module-sparknlp.annotator.embeddings.elmo_embeddings"]], "instructorembeddings (class in sparknlp.annotator.embeddings.instructor_embeddings)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings"]], "configprotobytes (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.configProtoBytes"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.configProtoBytes"]], "inputannotatortypes (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.inputAnnotatorTypes"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.inputAnnotatorTypes"]], "instruction (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.instruction"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.instruction"]], "loadsavedmodel() (instructorembeddings static method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.loadSavedModel"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.loadSavedModel"]], "name (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.name"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.name"]], "outputannotatortype (instructorembeddings attribute)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.outputAnnotatorType"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.outputAnnotatorType"]], "pretrained() (instructorembeddings static method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.pretrained"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.pretrained"]], "setconfigprotobytes() (instructorembeddings method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setConfigProtoBytes"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setConfigProtoBytes"]], "setinstruction() (instructorembeddings method)": [[104, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setInstruction"], [364, "sparknlp.annotator.embeddings.instructor_embeddings.InstructorEmbeddings.setInstruction"]], "sparknlp.annotator.embeddings.instructor_embeddings": [[104, "module-sparknlp.annotator.embeddings.instructor_embeddings"], [364, "module-sparknlp.annotator.embeddings.instructor_embeddings"]], "longformerembeddings (class in sparknlp.annotator.embeddings.longformer_embeddings)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings"]], "configprotobytes (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.configProtoBytes"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.configProtoBytes"]], "inputannotatortypes (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.inputAnnotatorTypes"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (longformerembeddings static method)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.loadSavedModel"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.loadSavedModel"]], "name (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.name"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.name"]], "outputannotatortype (longformerembeddings attribute)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.outputAnnotatorType"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.outputAnnotatorType"]], "pretrained() (longformerembeddings static method)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.pretrained"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.pretrained"]], "setconfigprotobytes() (longformerembeddings method)": [[105, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.setConfigProtoBytes"], [365, "sparknlp.annotator.embeddings.longformer_embeddings.LongformerEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.longformer_embeddings": [[105, "module-sparknlp.annotator.embeddings.longformer_embeddings"], [365, "module-sparknlp.annotator.embeddings.longformer_embeddings"]], "minilmembeddings (class in sparknlp.annotator.embeddings.minilm_embeddings)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings"]], "configprotobytes (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.configProtoBytes"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.configProtoBytes"]], "inputannotatortypes (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.inputAnnotatorTypes"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (minilmembeddings static method)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.loadSavedModel"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.loadSavedModel"]], "name (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.name"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.name"]], "outputannotatortype (minilmembeddings attribute)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.outputAnnotatorType"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.outputAnnotatorType"]], "pretrained() (minilmembeddings static method)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.pretrained"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.pretrained"]], "setconfigprotobytes() (minilmembeddings method)": [[106, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.setConfigProtoBytes"], [366, "sparknlp.annotator.embeddings.minilm_embeddings.MiniLMEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.minilm_embeddings": [[106, "module-sparknlp.annotator.embeddings.minilm_embeddings"], [366, "module-sparknlp.annotator.embeddings.minilm_embeddings"]], "mpnetembeddings (class in sparknlp.annotator.embeddings.mpnet_embeddings)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings"]], "configprotobytes (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.configProtoBytes"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.configProtoBytes"]], "inputannotatortypes (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.inputAnnotatorTypes"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (mpnetembeddings static method)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.loadSavedModel"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.loadSavedModel"]], "name (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.name"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.name"]], "outputannotatortype (mpnetembeddings attribute)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.outputAnnotatorType"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.outputAnnotatorType"]], "pretrained() (mpnetembeddings static method)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.pretrained"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.pretrained"]], "setconfigprotobytes() (mpnetembeddings method)": [[107, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.setConfigProtoBytes"], [367, "sparknlp.annotator.embeddings.mpnet_embeddings.MPNetEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.mpnet_embeddings": [[107, "module-sparknlp.annotator.embeddings.mpnet_embeddings"], [367, "module-sparknlp.annotator.embeddings.mpnet_embeddings"]], "mxbaiembeddings (class in sparknlp.annotator.embeddings.mxbai_embeddings)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings"]], "inputannotatortypes (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.inputAnnotatorTypes"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (mxbaiembeddings static method)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.loadSavedModel"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.loadSavedModel"]], "name (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.name"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.name"]], "outputannotatortype (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.outputAnnotatorType"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.outputAnnotatorType"]], "poolingstrategy (mxbaiembeddings attribute)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.poolingStrategy"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.poolingStrategy"]], "pretrained() (mxbaiembeddings static method)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.pretrained"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.pretrained"]], "setpoolingstrategy() (mxbaiembeddings method)": [[108, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.setPoolingStrategy"], [368, "sparknlp.annotator.embeddings.mxbai_embeddings.MxbaiEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.mxbai_embeddings": [[108, "module-sparknlp.annotator.embeddings.mxbai_embeddings"], [368, "module-sparknlp.annotator.embeddings.mxbai_embeddings"]], "nomicembeddings (class in sparknlp.annotator.embeddings.nomic_embeddings)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings"]], "configprotobytes (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.configProtoBytes"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.configProtoBytes"]], "inputannotatortypes (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.inputAnnotatorTypes"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (nomicembeddings static method)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.loadSavedModel"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.loadSavedModel"]], "name (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.name"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.name"]], "outputannotatortype (nomicembeddings attribute)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.outputAnnotatorType"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.outputAnnotatorType"]], "pretrained() (nomicembeddings static method)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.pretrained"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.pretrained"]], "setconfigprotobytes() (nomicembeddings method)": [[109, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.setConfigProtoBytes"], [369, "sparknlp.annotator.embeddings.nomic_embeddings.NomicEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.nomic_embeddings": [[109, "module-sparknlp.annotator.embeddings.nomic_embeddings"], [369, "module-sparknlp.annotator.embeddings.nomic_embeddings"]], "robertaembeddings (class in sparknlp.annotator.embeddings.roberta_embeddings)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings"]], "configprotobytes (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.configProtoBytes"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.configProtoBytes"]], "inputannotatortypes (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.inputAnnotatorTypes"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (robertaembeddings static method)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.loadSavedModel"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.loadSavedModel"]], "name (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.name"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.name"]], "outputannotatortype (robertaembeddings attribute)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.outputAnnotatorType"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.outputAnnotatorType"]], "pretrained() (robertaembeddings static method)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.pretrained"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.pretrained"]], "setconfigprotobytes() (robertaembeddings method)": [[110, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.setConfigProtoBytes"], [370, "sparknlp.annotator.embeddings.roberta_embeddings.RoBertaEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_embeddings": [[110, "module-sparknlp.annotator.embeddings.roberta_embeddings"], [370, "module-sparknlp.annotator.embeddings.roberta_embeddings"]], "robertasentenceembeddings (class in sparknlp.annotator.embeddings.roberta_sentence_embeddings)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings"]], "configprotobytes (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.configProtoBytes"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.configProtoBytes"]], "inputannotatortypes (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.inputAnnotatorTypes"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (robertasentenceembeddings static method)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.loadSavedModel"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.loadSavedModel"]], "name (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.name"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.name"]], "outputannotatortype (robertasentenceembeddings attribute)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.outputAnnotatorType"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.outputAnnotatorType"]], "pretrained() (robertasentenceembeddings static method)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.pretrained"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.pretrained"]], "setconfigprotobytes() (robertasentenceembeddings method)": [[111, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.setConfigProtoBytes"], [371, "sparknlp.annotator.embeddings.roberta_sentence_embeddings.RoBertaSentenceEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.roberta_sentence_embeddings": [[111, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"], [371, "module-sparknlp.annotator.embeddings.roberta_sentence_embeddings"]], "sentenceembeddings (class in sparknlp.annotator.embeddings.sentence_embeddings)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings"], [372, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings"]], "inputannotatortypes (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.inputAnnotatorTypes"], [372, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.inputAnnotatorTypes"]], "name (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.name"], [372, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.name"]], "outputannotatortype (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.outputAnnotatorType"], [372, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.outputAnnotatorType"]], "poolingstrategy (sentenceembeddings attribute)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.poolingStrategy"], [372, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.poolingStrategy"]], "setpoolingstrategy() (sentenceembeddings method)": [[112, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.setPoolingStrategy"], [372, "sparknlp.annotator.embeddings.sentence_embeddings.SentenceEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.sentence_embeddings": [[112, "module-sparknlp.annotator.embeddings.sentence_embeddings"], [372, "module-sparknlp.annotator.embeddings.sentence_embeddings"]], "snowflakeembeddings (class in sparknlp.annotator.embeddings.snowflake_embeddings)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings"]], "inputannotatortypes (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.inputAnnotatorTypes"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (snowflakeembeddings static method)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.loadSavedModel"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.loadSavedModel"]], "name (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.name"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.name"]], "outputannotatortype (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.outputAnnotatorType"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.outputAnnotatorType"]], "poolingstrategy (snowflakeembeddings attribute)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.poolingStrategy"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.poolingStrategy"]], "pretrained() (snowflakeembeddings static method)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.pretrained"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.pretrained"]], "setpoolingstrategy() (snowflakeembeddings method)": [[113, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.setPoolingStrategy"], [373, "sparknlp.annotator.embeddings.snowflake_embeddings.SnowFlakeEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.snowflake_embeddings": [[113, "module-sparknlp.annotator.embeddings.snowflake_embeddings"], [373, "module-sparknlp.annotator.embeddings.snowflake_embeddings"]], "uaeembeddings (class in sparknlp.annotator.embeddings.uae_embeddings)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings"]], "inputannotatortypes (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.inputAnnotatorTypes"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (uaeembeddings static method)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.loadSavedModel"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.loadSavedModel"]], "name (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.name"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.name"]], "outputannotatortype (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.outputAnnotatorType"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.outputAnnotatorType"]], "poolingstrategy (uaeembeddings attribute)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.poolingStrategy"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.poolingStrategy"]], "pretrained() (uaeembeddings static method)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.pretrained"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.pretrained"]], "setpoolingstrategy() (uaeembeddings method)": [[114, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.setPoolingStrategy"], [374, "sparknlp.annotator.embeddings.uae_embeddings.UAEEmbeddings.setPoolingStrategy"]], "sparknlp.annotator.embeddings.uae_embeddings": [[114, "module-sparknlp.annotator.embeddings.uae_embeddings"], [374, "module-sparknlp.annotator.embeddings.uae_embeddings"]], "universalsentenceencoder (class in sparknlp.annotator.embeddings.universal_sentence_encoder)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder"]], "configprotobytes (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.configProtoBytes"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.configProtoBytes"]], "inputannotatortypes (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.inputAnnotatorTypes"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.inputAnnotatorTypes"]], "loadsp (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSP"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSP"]], "loadsavedmodel() (universalsentenceencoder static method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSavedModel"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.loadSavedModel"]], "name (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.name"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.name"]], "outputannotatortype (universalsentenceencoder attribute)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.outputAnnotatorType"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.outputAnnotatorType"]], "pretrained() (universalsentenceencoder static method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.pretrained"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.pretrained"]], "setconfigprotobytes() (universalsentenceencoder method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setConfigProtoBytes"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setConfigProtoBytes"]], "setloadsp() (universalsentenceencoder method)": [[115, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setLoadSP"], [375, "sparknlp.annotator.embeddings.universal_sentence_encoder.UniversalSentenceEncoder.setLoadSP"]], "sparknlp.annotator.embeddings.universal_sentence_encoder": [[115, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"], [375, "module-sparknlp.annotator.embeddings.universal_sentence_encoder"]], "word2vecapproach (class in sparknlp.annotator.embeddings.word2vec)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach"]], "word2vecmodel (class in sparknlp.annotator.embeddings.word2vec)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel"]], "getvectors() (word2vecmodel method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.getVectors"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.getVectors"]], "inputannotatortypes (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.inputAnnotatorTypes"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.inputAnnotatorTypes"]], "inputannotatortypes (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.inputAnnotatorTypes"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.inputAnnotatorTypes"]], "maxiter (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxIter"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxIter"]], "maxsentencelength (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxSentenceLength"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.maxSentenceLength"]], "mincount (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.minCount"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.minCount"]], "name (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.name"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.name"]], "numpartitions (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.numPartitions"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.numPartitions"]], "outputannotatortype (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.outputAnnotatorType"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.outputAnnotatorType"]], "outputannotatortype (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.outputAnnotatorType"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.outputAnnotatorType"]], "pretrained() (word2vecmodel static method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.pretrained"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.pretrained"]], "seed (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.seed"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.seed"]], "setmaxiter() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxIter"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxIter"]], "setmaxsentencelength() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxSentenceLength"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMaxSentenceLength"]], "setmincount() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMinCount"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setMinCount"]], "setnumpartitions() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setNumPartitions"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setNumPartitions"]], "setseed() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setSeed"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setSeed"]], "setstepsize() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setStepSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setStepSize"]], "setvectorsize() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setVectorSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setVectorSize"]], "setvectorsize() (word2vecmodel method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.setVectorSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.setVectorSize"]], "setwindowsize() (word2vecapproach method)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setWindowSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.setWindowSize"]], "sparknlp.annotator.embeddings.word2vec": [[116, "module-sparknlp.annotator.embeddings.word2vec"], [376, "module-sparknlp.annotator.embeddings.word2vec"]], "stepsize (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.stepSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.stepSize"]], "vectorsize (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.vectorSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.vectorSize"]], "vectorsize (word2vecmodel attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.vectorSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecModel.vectorSize"]], "windowsize (word2vecapproach attribute)": [[116, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.windowSize"], [376, "sparknlp.annotator.embeddings.word2vec.Word2VecApproach.windowSize"]], "wordembeddings (class in sparknlp.annotator.embeddings.word_embeddings)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings"]], "wordembeddingsmodel (class in sparknlp.annotator.embeddings.word_embeddings)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel"]], "databases (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.databases"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.databases"]], "inputannotatortypes (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.inputAnnotatorTypes"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.inputAnnotatorTypes"]], "inputannotatortypes (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.inputAnnotatorTypes"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.inputAnnotatorTypes"]], "loadstorage() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.loadStorage"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.loadStorage"]], "name (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.name"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.name"]], "name (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.name"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.name"]], "outputannotatortype (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.outputAnnotatorType"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.outputAnnotatorType"]], "outputannotatortype (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.outputAnnotatorType"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.outputAnnotatorType"]], "overallcoverage() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.overallCoverage"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.overallCoverage"]], "pretrained() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.pretrained"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.pretrained"]], "readcachesize (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.readCacheSize"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.readCacheSize"]], "readcachesize (wordembeddingsmodel attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.readCacheSize"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.readCacheSize"]], "setreadcachesize() (wordembeddings method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setReadCacheSize"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setReadCacheSize"]], "setreadcachesize() (wordembeddingsmodel method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.setReadCacheSize"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.setReadCacheSize"]], "setwritebuffersize() (wordembeddings method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setWriteBufferSize"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.setWriteBufferSize"]], "sparknlp.annotator.embeddings.word_embeddings": [[117, "module-sparknlp.annotator.embeddings.word_embeddings"], [377, "module-sparknlp.annotator.embeddings.word_embeddings"]], "withcoveragecolumn() (wordembeddingsmodel static method)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.withCoverageColumn"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddingsModel.withCoverageColumn"]], "writebuffersize (wordembeddings attribute)": [[117, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.writeBufferSize"], [377, "sparknlp.annotator.embeddings.word_embeddings.WordEmbeddings.writeBufferSize"]], "xlmrobertaembeddings (class in sparknlp.annotator.embeddings.xlm_roberta_embeddings)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings"]], "configprotobytes (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.configProtoBytes"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.configProtoBytes"]], "inputannotatortypes (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.inputAnnotatorTypes"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertaembeddings static method)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.loadSavedModel"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.loadSavedModel"]], "name (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.name"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.name"]], "outputannotatortype (xlmrobertaembeddings attribute)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.outputAnnotatorType"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.outputAnnotatorType"]], "pretrained() (xlmrobertaembeddings static method)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.pretrained"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.pretrained"]], "setconfigprotobytes() (xlmrobertaembeddings method)": [[118, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.setConfigProtoBytes"], [378, "sparknlp.annotator.embeddings.xlm_roberta_embeddings.XlmRoBertaEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlm_roberta_embeddings": [[118, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"], [378, "module-sparknlp.annotator.embeddings.xlm_roberta_embeddings"]], "xlmrobertasentenceembeddings (class in sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings"]], "configprotobytes (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.configProtoBytes"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.configProtoBytes"]], "inputannotatortypes (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.inputAnnotatorTypes"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (xlmrobertasentenceembeddings static method)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.loadSavedModel"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.loadSavedModel"]], "name (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.name"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.name"]], "outputannotatortype (xlmrobertasentenceembeddings attribute)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.outputAnnotatorType"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.outputAnnotatorType"]], "pretrained() (xlmrobertasentenceembeddings static method)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.pretrained"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.pretrained"]], "setconfigprotobytes() (xlmrobertasentenceembeddings method)": [[119, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.setConfigProtoBytes"], [379, "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings.XlmRoBertaSentenceEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings": [[119, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"], [379, "module-sparknlp.annotator.embeddings.xlm_roberta_sentence_embeddings"]], "xlnetembeddings (class in sparknlp.annotator.embeddings.xlnet_embeddings)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings"]], "configprotobytes (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.configProtoBytes"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.configProtoBytes"]], "inputannotatortypes (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.inputAnnotatorTypes"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.inputAnnotatorTypes"]], "loadsavedmodel() (xlnetembeddings static method)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.loadSavedModel"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.loadSavedModel"]], "name (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.name"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.name"]], "outputannotatortype (xlnetembeddings attribute)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.outputAnnotatorType"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.outputAnnotatorType"]], "pretrained() (xlnetembeddings static method)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.pretrained"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.pretrained"]], "setconfigprotobytes() (xlnetembeddings method)": [[120, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.setConfigProtoBytes"], [380, "sparknlp.annotator.embeddings.xlnet_embeddings.XlnetEmbeddings.setConfigProtoBytes"]], "sparknlp.annotator.embeddings.xlnet_embeddings": [[120, "module-sparknlp.annotator.embeddings.xlnet_embeddings"], [380, "module-sparknlp.annotator.embeddings.xlnet_embeddings"]], "sparknlp.annotator.er": [[121, "module-sparknlp.annotator.er"], [382, "module-sparknlp.annotator.er"]], "entityrulerapproach (class in sparknlp.annotator.er.entity_ruler)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach"]], "entityrulermodel (class in sparknlp.annotator.er.entity_ruler)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel"]], "alphabet (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.alphabet"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.alphabet"]], "automode (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.autoMode"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.autoMode"]], "database (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.database"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.database"]], "extractentities (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.extractEntities"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.extractEntities"]], "inputannotatortypes (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.inputAnnotatorTypes"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.inputAnnotatorTypes"]], "inputannotatortypes (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.inputAnnotatorTypes"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.inputAnnotatorTypes"]], "loadstorage() (entityrulermodel static method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.loadStorage"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.loadStorage"]], "name (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.name"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.name"]], "name (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.name"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.name"]], "optionalinputannotatortypes (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.optionalInputAnnotatorTypes"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.optionalInputAnnotatorTypes"]], "optionalinputannotatortypes (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.optionalInputAnnotatorTypes"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.optionalInputAnnotatorTypes"]], "outputannotatortype (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.outputAnnotatorType"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.outputAnnotatorType"]], "outputannotatortype (entityrulermodel attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.outputAnnotatorType"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.outputAnnotatorType"]], "patternsresource (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.patternsResource"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.patternsResource"]], "pretrained() (entityrulermodel static method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.pretrained"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.pretrained"]], "sentencematch (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.sentenceMatch"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.sentenceMatch"]], "setalphabetresource() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setAlphabetResource"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setAlphabetResource"]], "setautomode() (entityrulermodel method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.setAutoMode"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.setAutoMode"]], "setextractentities() (entityrulermodel method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.setExtractEntities"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerModel.setExtractEntities"]], "setpatternsresource() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setPatternsResource"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setPatternsResource"]], "setsentencematch() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setSentenceMatch"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setSentenceMatch"]], "setusestorage() (entityrulerapproach method)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setUseStorage"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.setUseStorage"]], "sparknlp.annotator.er.entity_ruler": [[122, "module-sparknlp.annotator.er.entity_ruler"], [381, "module-sparknlp.annotator.er.entity_ruler"]], "usestorage (entityrulerapproach attribute)": [[122, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.useStorage"], [381, "sparknlp.annotator.er.entity_ruler.EntityRulerApproach.useStorage"]], "graphextraction (class in sparknlp.annotator.graph_extraction)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction"]], "delimiter (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.delimiter"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.delimiter"]], "dependencyparsermodel (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.dependencyParserModel"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.dependencyParserModel"]], "entitytypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.entityTypes"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.entityTypes"]], "explodeentities (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.explodeEntities"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.explodeEntities"]], "includeedges (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.includeEdges"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.includeEdges"]], "inputannotatortypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.inputAnnotatorTypes"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.inputAnnotatorTypes"]], "maxsentencesize (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.maxSentenceSize"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.maxSentenceSize"]], "mergeentities (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntities"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntities"]], "mergeentitiesiobformat (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntitiesIOBFormat"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.mergeEntitiesIOBFormat"]], "minsentencesize (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.minSentenceSize"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.minSentenceSize"]], "name (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.name"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.name"]], "optionalinputannotatortypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.optionalInputAnnotatorTypes"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.optionalInputAnnotatorTypes"]], "outputannotatortype (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.outputAnnotatorType"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.outputAnnotatorType"]], "posmodel (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.posModel"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.posModel"]], "relationshiptypes (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.relationshipTypes"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.relationshipTypes"]], "roottokens (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.rootTokens"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.rootTokens"]], "setdelimiter() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setDelimiter"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setDelimiter"]], "setdependencyparsermodel() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setDependencyParserModel"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setDependencyParserModel"]], "setentitytypes() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setEntityTypes"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setEntityTypes"]], "setexplodeentities() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setExplodeEntities"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setExplodeEntities"]], "setincludeedges() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setIncludeEdges"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setIncludeEdges"]], "setmaxsentencesize() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMaxSentenceSize"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setMaxSentenceSize"]], "setmergeentities() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntities"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntities"]], "setmergeentitiesiobformat() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntitiesIOBFormat"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setMergeEntitiesIOBFormat"]], "setminsentencesize() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setMinSentenceSize"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setMinSentenceSize"]], "setposmodel() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setPosModel"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setPosModel"]], "setrelationshiptypes() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setRelationshipTypes"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setRelationshipTypes"]], "setroottokens() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setRootTokens"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setRootTokens"]], "settypeddependencyparsermodel() (graphextraction method)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.setTypedDependencyParserModel"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.setTypedDependencyParserModel"]], "sparknlp.annotator.graph_extraction": [[123, "module-sparknlp.annotator.graph_extraction"], [383, "module-sparknlp.annotator.graph_extraction"]], "typeddependencyparsermodel (graphextraction attribute)": [[123, "sparknlp.annotator.graph_extraction.GraphExtraction.typedDependencyParserModel"], [383, "sparknlp.annotator.graph_extraction.GraphExtraction.typedDependencyParserModel"]], "sparknlp.annotator.keyword_extraction": [[124, "module-sparknlp.annotator.keyword_extraction"], [385, "module-sparknlp.annotator.keyword_extraction"]], "yakekeywordextraction (class in sparknlp.annotator.keyword_extraction.yake_keyword_extraction)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction"]], "getstopwords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.getStopWords"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.getStopWords"]], "inputannotatortypes (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.inputAnnotatorTypes"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.inputAnnotatorTypes"]], "loaddefaultstopwords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.loadDefaultStopWords"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.loadDefaultStopWords"]], "maxngrams (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.maxNGrams"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.maxNGrams"]], "minngrams (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.minNGrams"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.minNGrams"]], "nkeywords (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.nKeywords"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.nKeywords"]], "name (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.name"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.name"]], "outputannotatortype (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.outputAnnotatorType"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.outputAnnotatorType"]], "setmaxngrams() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMaxNGrams"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMaxNGrams"]], "setminngrams() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMinNGrams"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setMinNGrams"]], "setnkeywords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setNKeywords"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setNKeywords"]], "setstopwords() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setStopWords"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setStopWords"]], "setthreshold() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setThreshold"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setThreshold"]], "setwindowsize() (yakekeywordextraction method)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setWindowSize"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.setWindowSize"]], "sparknlp.annotator.keyword_extraction.yake_keyword_extraction": [[125, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"], [386, "module-sparknlp.annotator.keyword_extraction.yake_keyword_extraction"]], "stopwords (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.stopWords"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.stopWords"]], "threshold (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.threshold"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.threshold"]], "windowsize (yakekeywordextraction attribute)": [[125, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.windowSize"], [386, "sparknlp.annotator.keyword_extraction.yake_keyword_extraction.YakeKeywordExtraction.windowSize"]], "sparknlp.annotator.ld_dl": [[126, "module-sparknlp.annotator.ld_dl"], [387, "module-sparknlp.annotator.ld_dl"]], "languagedetectordl (class in sparknlp.annotator.ld_dl.language_detector_dl)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL"]], "coalescesentences (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.coalesceSentences"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.coalesceSentences"]], "configprotobytes (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.configProtoBytes"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.configProtoBytes"]], "inputannotatortypes (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.inputAnnotatorTypes"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.inputAnnotatorTypes"]], "languages (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.languages"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.languages"]], "name (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.name"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.name"]], "outputannotatortype (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.outputAnnotatorType"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.outputAnnotatorType"]], "pretrained() (languagedetectordl static method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.pretrained"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.pretrained"]], "setcoalescesentences() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setCoalesceSentences"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setCoalesceSentences"]], "setconfigprotobytes() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setConfigProtoBytes"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setConfigProtoBytes"]], "setthreshold() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThreshold"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThreshold"]], "setthresholdlabel() (languagedetectordl method)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThresholdLabel"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.setThresholdLabel"]], "sparknlp.annotator.ld_dl.language_detector_dl": [[127, "module-sparknlp.annotator.ld_dl.language_detector_dl"], [388, "module-sparknlp.annotator.ld_dl.language_detector_dl"]], "threshold (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.threshold"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.threshold"]], "thresholdlabel (languagedetectordl attribute)": [[127, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.thresholdLabel"], [388, "sparknlp.annotator.ld_dl.language_detector_dl.LanguageDetectorDL.thresholdLabel"]], "lemmatizer (class in sparknlp.annotator.lemmatizer)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer"]], "lemmatizermodel (class in sparknlp.annotator.lemmatizer)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel"], [389, "sparknlp.annotator.lemmatizer.LemmatizerModel"]], "dictionary (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.dictionary"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.dictionary"]], "formcol (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.formCol"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.formCol"]], "inputannotatortypes (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.inputAnnotatorTypes"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.inputAnnotatorTypes"]], "inputannotatortypes (lemmatizermodel attribute)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.inputAnnotatorTypes"], [389, "sparknlp.annotator.lemmatizer.LemmatizerModel.inputAnnotatorTypes"]], "lemmacol (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.lemmaCol"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.lemmaCol"]], "name (lemmatizermodel attribute)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.name"], [389, "sparknlp.annotator.lemmatizer.LemmatizerModel.name"]], "outputannotatortype (lemmatizer attribute)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.outputAnnotatorType"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.outputAnnotatorType"]], "outputannotatortype (lemmatizermodel attribute)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.outputAnnotatorType"], [389, "sparknlp.annotator.lemmatizer.LemmatizerModel.outputAnnotatorType"]], "pretrained() (lemmatizermodel static method)": [[128, "sparknlp.annotator.lemmatizer.LemmatizerModel.pretrained"], [389, "sparknlp.annotator.lemmatizer.LemmatizerModel.pretrained"]], "setdictionary() (lemmatizer method)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.setDictionary"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.setDictionary"]], "setformcol() (lemmatizer method)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.setFormCol"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.setFormCol"]], "setlemmacol() (lemmatizer method)": [[128, "sparknlp.annotator.lemmatizer.Lemmatizer.setLemmaCol"], [389, "sparknlp.annotator.lemmatizer.Lemmatizer.setLemmaCol"]], "sparknlp.annotator.lemmatizer": [[128, "module-sparknlp.annotator.lemmatizer"], [389, "module-sparknlp.annotator.lemmatizer"]], "sparknlp.annotator.matcher": [[129, "module-sparknlp.annotator.matcher"], [392, "module-sparknlp.annotator.matcher"]], "bigtextmatcher (class in sparknlp.annotator.matcher.big_text_matcher)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher"]], "bigtextmatchermodel (class in sparknlp.annotator.matcher.big_text_matcher)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel"]], "casesensitive (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.caseSensitive"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.caseSensitive"]], "casesensitive (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.caseSensitive"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.caseSensitive"]], "databases (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.databases"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.databases"]], "entities (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.entities"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.entities"]], "inputannotatortypes (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.inputAnnotatorTypes"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.inputAnnotatorTypes"]], "inputannotatortypes (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.inputAnnotatorTypes"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.inputAnnotatorTypes"]], "loadstorage() (bigtextmatchermodel static method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.loadStorage"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.loadStorage"]], "mergeoverlapping (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.mergeOverlapping"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.mergeOverlapping"]], "mergeoverlapping (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.mergeOverlapping"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.mergeOverlapping"]], "name (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.name"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.name"]], "outputannotatortype (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.outputAnnotatorType"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.outputAnnotatorType"]], "outputannotatortype (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.outputAnnotatorType"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.outputAnnotatorType"]], "pretrained() (bigtextmatchermodel static method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.pretrained"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.pretrained"]], "searchtrie (bigtextmatchermodel attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.searchTrie"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.searchTrie"]], "setcasesensitive() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setCaseSensitive"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setCaseSensitive"]], "setcasesensitive() (bigtextmatchermodel method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setCaseSensitive"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setCaseSensitive"]], "setentities() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setEntities"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setEntities"]], "setmergeoverlapping() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setMergeOverlapping"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setMergeOverlapping"]], "setmergeoverlapping() (bigtextmatchermodel method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setMergeOverlapping"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcherModel.setMergeOverlapping"]], "settokenizer() (bigtextmatcher method)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setTokenizer"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.setTokenizer"]], "sparknlp.annotator.matcher.big_text_matcher": [[130, "module-sparknlp.annotator.matcher.big_text_matcher"], [390, "module-sparknlp.annotator.matcher.big_text_matcher"]], "tokenizer (bigtextmatcher attribute)": [[130, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.tokenizer"], [390, "sparknlp.annotator.matcher.big_text_matcher.BigTextMatcher.tokenizer"]], "datematcher (class in sparknlp.annotator.matcher.date_matcher)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcher"]], "datematcherutils (class in sparknlp.annotator.matcher.date_matcher)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils"]], "aggressivematching (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.aggressiveMatching"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.aggressiveMatching"]], "anchordateday (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateDay"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateDay"]], "anchordatemonth (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateMonth"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateMonth"]], "anchordateyear (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateYear"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.anchorDateYear"]], "defaultdaywhenmissing (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.defaultDayWhenMissing"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.defaultDayWhenMissing"]], "inputannotatortypes (datematcher attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher.inputAnnotatorTypes"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcher.inputAnnotatorTypes"]], "inputformats (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.inputFormats"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.inputFormats"]], "name (datematcher attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher.name"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcher.name"]], "outputannotatortype (datematcher attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcher.outputAnnotatorType"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcher.outputAnnotatorType"]], "outputformat (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.outputFormat"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.outputFormat"]], "readmonthfirst (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.readMonthFirst"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.readMonthFirst"]], "relaxedfactorystrategy (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.relaxedFactoryStrategy"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.relaxedFactoryStrategy"]], "setaggressivematching() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAggressiveMatching"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAggressiveMatching"]], "setanchordateday() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateDay"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateDay"]], "setanchordatemonth() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateMonth"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateMonth"]], "setanchordateyear() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateYear"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setAnchorDateYear"]], "setdefaultdaywhenmissing() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setDefaultDayWhenMissing"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setDefaultDayWhenMissing"]], "setinputformats() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setInputFormats"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setInputFormats"]], "setoutputformat() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setOutputFormat"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setOutputFormat"]], "setreadmonthfirst() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setReadMonthFirst"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setReadMonthFirst"]], "setrelaxedfactorystrategy() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setRelaxedFactoryStrategy"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setRelaxedFactoryStrategy"]], "setsourcelanguage() (datematcherutils method)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setSourceLanguage"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.setSourceLanguage"]], "sourcelanguage (datematcherutils attribute)": [[131, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.sourceLanguage"], [391, "sparknlp.annotator.matcher.date_matcher.DateMatcherUtils.sourceLanguage"]], "sparknlp.annotator.matcher.date_matcher": [[131, "module-sparknlp.annotator.matcher.date_matcher"], [391, "module-sparknlp.annotator.matcher.date_matcher"]], "multidatematcher (class in sparknlp.annotator.matcher.multi_date_matcher)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher"], [393, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher"]], "inputannotatortypes (multidatematcher attribute)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.inputAnnotatorTypes"], [393, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.inputAnnotatorTypes"]], "name (multidatematcher attribute)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.name"], [393, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.name"]], "outputannotatortype (multidatematcher attribute)": [[132, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.outputAnnotatorType"], [393, "sparknlp.annotator.matcher.multi_date_matcher.MultiDateMatcher.outputAnnotatorType"]], "sparknlp.annotator.matcher.multi_date_matcher": [[132, "module-sparknlp.annotator.matcher.multi_date_matcher"], [393, "module-sparknlp.annotator.matcher.multi_date_matcher"]], "regexmatcher (class in sparknlp.annotator.matcher.regex_matcher)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher"]], "regexmatchermodel (class in sparknlp.annotator.matcher.regex_matcher)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel"]], "delimiter (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.delimiter"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.delimiter"]], "externalrules (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.externalRules"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.externalRules"]], "inputannotatortypes (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.inputAnnotatorTypes"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.inputAnnotatorTypes"]], "inputannotatortypes (regexmatchermodel attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.inputAnnotatorTypes"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.inputAnnotatorTypes"]], "name (regexmatchermodel attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.name"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.name"]], "outputannotatortype (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.outputAnnotatorType"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.outputAnnotatorType"]], "outputannotatortype (regexmatchermodel attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.outputAnnotatorType"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcherModel.outputAnnotatorType"]], "rules (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.rules"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.rules"]], "setdelimiter() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setDelimiter"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setDelimiter"]], "setexternalrules() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setExternalRules"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setExternalRules"]], "setrules() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setRules"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setRules"]], "setstrategy() (regexmatcher method)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setStrategy"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.setStrategy"]], "sparknlp.annotator.matcher.regex_matcher": [[133, "module-sparknlp.annotator.matcher.regex_matcher"], [394, "module-sparknlp.annotator.matcher.regex_matcher"]], "strategy (regexmatcher attribute)": [[133, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.strategy"], [394, "sparknlp.annotator.matcher.regex_matcher.RegexMatcher.strategy"]], "textmatcher (class in sparknlp.annotator.matcher.text_matcher)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher"]], "textmatchermodel (class in sparknlp.annotator.matcher.text_matcher)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel"]], "buildfromtokens (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.buildFromTokens"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.buildFromTokens"]], "buildfromtokens (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.buildFromTokens"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.buildFromTokens"]], "casesensitive (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.caseSensitive"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.caseSensitive"]], "entities (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entities"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entities"]], "entityvalue (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entityValue"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.entityValue"]], "entityvalue (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.entityValue"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.entityValue"]], "inputannotatortypes (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.inputAnnotatorTypes"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.inputAnnotatorTypes"]], "inputannotatortypes (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.inputAnnotatorTypes"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.inputAnnotatorTypes"]], "mergeoverlapping (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.mergeOverlapping"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.mergeOverlapping"]], "mergeoverlapping (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.mergeOverlapping"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.mergeOverlapping"]], "name (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.name"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.name"]], "outputannotatortype (textmatcher attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.outputAnnotatorType"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.outputAnnotatorType"]], "outputannotatortype (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.outputAnnotatorType"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.outputAnnotatorType"]], "pretrained() (textmatchermodel static method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.pretrained"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.pretrained"]], "searchtrie (textmatchermodel attribute)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.searchTrie"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.searchTrie"]], "setbuildfromtokens() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setBuildFromTokens"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setBuildFromTokens"]], "setbuildfromtokens() (textmatchermodel method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setBuildFromTokens"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setBuildFromTokens"]], "setcasesensitive() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setCaseSensitive"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setCaseSensitive"]], "setentities() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntities"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntities"]], "setentityvalue() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntityValue"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setEntityValue"]], "setentityvalue() (textmatchermodel method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setEntityValue"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setEntityValue"]], "setmergeoverlapping() (textmatcher method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setMergeOverlapping"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcher.setMergeOverlapping"]], "setmergeoverlapping() (textmatchermodel method)": [[134, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setMergeOverlapping"], [395, "sparknlp.annotator.matcher.text_matcher.TextMatcherModel.setMergeOverlapping"]], "sparknlp.annotator.matcher.text_matcher": [[134, "module-sparknlp.annotator.matcher.text_matcher"], [395, "module-sparknlp.annotator.matcher.text_matcher"]], "ngramgenerator (class in sparknlp.annotator.n_gram_generator)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator"]], "delimiter (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.delimiter"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.delimiter"]], "enablecumulative (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.enableCumulative"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.enableCumulative"]], "inputannotatortypes (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.inputAnnotatorTypes"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.inputAnnotatorTypes"]], "n (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.n"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.n"]], "name (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.name"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.name"]], "outputannotatortype (ngramgenerator attribute)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.outputAnnotatorType"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.outputAnnotatorType"]], "setdelimiter() (ngramgenerator method)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.setDelimiter"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.setDelimiter"]], "setenablecumulative() (ngramgenerator method)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.setEnableCumulative"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.setEnableCumulative"]], "setn() (ngramgenerator method)": [[135, "sparknlp.annotator.n_gram_generator.NGramGenerator.setN"], [396, "sparknlp.annotator.n_gram_generator.NGramGenerator.setN"]], "sparknlp.annotator.n_gram_generator": [[135, "module-sparknlp.annotator.n_gram_generator"], [396, "module-sparknlp.annotator.n_gram_generator"]], "sparknlp.annotator.ner": [[136, "module-sparknlp.annotator.ner"], [397, "module-sparknlp.annotator.ner"]], "nerapproach (class in sparknlp.annotator.ner.ner_approach)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach"]], "entities (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.entities"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.entities"]], "getlabelcolumn() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.getLabelColumn"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.getLabelColumn"]], "labelcolumn (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.labelColumn"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.labelColumn"]], "maxepochs (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.maxEpochs"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.maxEpochs"]], "minepochs (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.minEpochs"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.minEpochs"]], "randomseed (nerapproach attribute)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.randomSeed"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.randomSeed"]], "setentities() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setEntities"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.setEntities"]], "setlabelcolumn() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setLabelColumn"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.setLabelColumn"]], "setmaxepochs() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setMaxEpochs"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.setMaxEpochs"]], "setminepochs() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setMinEpochs"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.setMinEpochs"]], "setrandomseed() (nerapproach method)": [[137, "sparknlp.annotator.ner.ner_approach.NerApproach.setRandomSeed"], [398, "sparknlp.annotator.ner.ner_approach.NerApproach.setRandomSeed"]], "sparknlp.annotator.ner.ner_approach": [[137, "module-sparknlp.annotator.ner.ner_approach"], [398, "module-sparknlp.annotator.ner.ner_approach"]], "nerconverter (class in sparknlp.annotator.ner.ner_converter)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter"]], "inputannotatortypes (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.inputAnnotatorTypes"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.inputAnnotatorTypes"]], "name (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.name"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.name"]], "nerhasnoschema (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.nerHasNoSchema"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.nerHasNoSchema"]], "outputannotatortype (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.outputAnnotatorType"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.outputAnnotatorType"]], "preserveposition (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.preservePosition"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.preservePosition"]], "setnerhasnoschema() (nerconverter method)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.setNerHasNoSchema"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.setNerHasNoSchema"]], "setpreserveposition() (nerconverter method)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.setPreservePosition"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.setPreservePosition"]], "setwhitelist() (nerconverter method)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.setWhiteList"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.setWhiteList"]], "sparknlp.annotator.ner.ner_converter": [[138, "module-sparknlp.annotator.ner.ner_converter"], [399, "module-sparknlp.annotator.ner.ner_converter"]], "whitelist (nerconverter attribute)": [[138, "sparknlp.annotator.ner.ner_converter.NerConverter.whiteList"], [399, "sparknlp.annotator.ner.ner_converter.NerConverter.whiteList"]], "nercrfapproach (class in sparknlp.annotator.ner.ner_crf)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach"]], "nercrfmodel (class in sparknlp.annotator.ner.ner_crf)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel"]], "c0 (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.c0"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.c0"]], "externalfeatures (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.externalFeatures"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.externalFeatures"]], "includeconfidence (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.includeConfidence"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.includeConfidence"]], "includeconfidence (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.includeConfidence"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel.includeConfidence"]], "inputannotatortypes (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.inputAnnotatorTypes"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.inputAnnotatorTypes"]], "inputannotatortypes (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.inputAnnotatorTypes"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel.inputAnnotatorTypes"]], "l2 (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.l2"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.l2"]], "losseps (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.lossEps"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.lossEps"]], "minw (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.minW"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.minW"]], "name (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.name"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel.name"]], "outputannotatortype (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.outputAnnotatorType"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.outputAnnotatorType"]], "outputannotatortype (nercrfmodel attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.outputAnnotatorType"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel.outputAnnotatorType"]], "pretrained() (nercrfmodel static method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.pretrained"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel.pretrained"]], "setc0() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setC0"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setC0"]], "setexternalfeatures() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setExternalFeatures"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setExternalFeatures"]], "setincludeconfidence() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setIncludeConfidence"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setIncludeConfidence"]], "setincludeconfidence() (nercrfmodel method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfModel.setIncludeConfidence"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfModel.setIncludeConfidence"]], "setl2() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setL2"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setL2"]], "setlosseps() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setLossEps"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setLossEps"]], "setminw() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setMinW"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setMinW"]], "setverbose() (nercrfapproach method)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setVerbose"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.setVerbose"]], "sparknlp.annotator.ner.ner_crf": [[139, "module-sparknlp.annotator.ner.ner_crf"], [400, "module-sparknlp.annotator.ner.ner_crf"]], "verbose (nercrfapproach attribute)": [[139, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.verbose"], [400, "sparknlp.annotator.ner.ner_crf.NerCrfApproach.verbose"]], "nerdlapproach (class in sparknlp.annotator.ner.ner_dl)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach"]], "nerdlmodel (class in sparknlp.annotator.ner.ner_dl)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel"]], "batchsize (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.batchSize"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.batchSize"]], "bestmodelmetric (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.bestModelMetric"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.bestModelMetric"]], "classes (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.classes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.classes"]], "configprotobytes (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.configProtoBytes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.configProtoBytes"]], "configprotobytes (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.configProtoBytes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.configProtoBytes"]], "dropout (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.dropout"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.dropout"]], "enablememoryoptimizer (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.enableMemoryOptimizer"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.enableMemoryOptimizer"]], "graphfolder (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.graphFolder"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.graphFolder"]], "includeallconfidencescores (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeAllConfidenceScores"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeAllConfidenceScores"]], "includeallconfidencescores (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeAllConfidenceScores"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeAllConfidenceScores"]], "includeconfidence (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeConfidence"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.includeConfidence"]], "includeconfidence (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeConfidence"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.includeConfidence"]], "inputannotatortypes (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.inputAnnotatorTypes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.inputAnnotatorTypes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.inputAnnotatorTypes"]], "lr (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.lr"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.lr"]], "name (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.name"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.name"]], "outputannotatortype (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.outputAnnotatorType"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.outputAnnotatorType"]], "outputannotatortype (nerdlmodel attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.outputAnnotatorType"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.outputAnnotatorType"]], "po (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.po"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.po"]], "pretrained() (nerdlmodel static method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.pretrained"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.pretrained"]], "setbatchsize() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBatchSize"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBatchSize"]], "setbestmodelmetric() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBestModelMetric"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setBestModelMetric"]], "setconfigprotobytes() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setConfigProtoBytes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setConfigProtoBytes"]], "setconfigprotobytes() (nerdlmodel method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.setConfigProtoBytes"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.setConfigProtoBytes"]], "setdropout() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setDropout"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setDropout"]], "setenablememoryoptimizer() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setEnableMemoryOptimizer"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setEnableMemoryOptimizer"]], "setgraphfolder() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setGraphFolder"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setGraphFolder"]], "setincludeallconfidencescores() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeAllConfidenceScores"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeAllConfidenceScores"]], "setincludeallconfidencescores() (nerdlmodel method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeAllConfidenceScores"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeAllConfidenceScores"]], "setincludeconfidence() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeConfidence"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setIncludeConfidence"]], "setincludeconfidence() (nerdlmodel method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeConfidence"], [401, "sparknlp.annotator.ner.ner_dl.NerDLModel.setIncludeConfidence"]], "setlr() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setLr"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setLr"]], "setpo() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setPo"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setPo"]], "setusebestmodel() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseBestModel"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseBestModel"]], "setusecontrib() (nerdlapproach method)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseContrib"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.setUseContrib"]], "sparknlp.annotator.ner.ner_dl": [[140, "module-sparknlp.annotator.ner.ner_dl"], [401, "module-sparknlp.annotator.ner.ner_dl"]], "usebestmodel (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useBestModel"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useBestModel"]], "usecontrib (nerdlapproach attribute)": [[140, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useContrib"], [401, "sparknlp.annotator.ner.ner_dl.NerDLApproach.useContrib"]], "nerdlgraphchecker (class in sparknlp.annotator.ner.ner_dl_graph_checker)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker"]], "nerdlgraphcheckermodel (class in sparknlp.annotator.ner.ner_dl_graph_checker)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel"]], "embeddingsdim (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.embeddingsDim"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.embeddingsDim"]], "graphfolder (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.graphFolder"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.graphFolder"]], "inputannotatortypes (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputAnnotatorTypes"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputAnnotatorTypes"]], "inputannotatortypes (nerdlgraphcheckermodel attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel.inputAnnotatorTypes"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphCheckerModel.inputAnnotatorTypes"]], "inputcols (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputCols"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.inputCols"]], "labelcolumn (nerdlgraphchecker attribute)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.labelColumn"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.labelColumn"]], "setembeddingsdim() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsDim"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsDim"]], "setembeddingsmodel() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsModel"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setEmbeddingsModel"]], "setgraphfolder() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setGraphFolder"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setGraphFolder"]], "setinputcols() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setInputCols"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setInputCols"]], "setlabelcolumn() (nerdlgraphchecker method)": [[141, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setLabelColumn"], [402, "sparknlp.annotator.ner.ner_dl_graph_checker.NerDLGraphChecker.setLabelColumn"]], "sparknlp.annotator.ner.ner_dl_graph_checker": [[141, "module-sparknlp.annotator.ner.ner_dl_graph_checker"], [402, "module-sparknlp.annotator.ner.ner_dl_graph_checker"]], "neroverwriter (class in sparknlp.annotator.ner.ner_overwriter)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter"]], "inputannotatortypes (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.inputAnnotatorTypes"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.inputAnnotatorTypes"]], "name (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.name"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.name"]], "nerwords (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.nerWords"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.nerWords"]], "newnerentity (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.newNerEntity"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.newNerEntity"]], "outputannotatortype (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.outputAnnotatorType"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.outputAnnotatorType"]], "replaceentities (neroverwriter attribute)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.replaceEntities"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.replaceEntities"]], "setnerwords() (neroverwriter method)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNerWords"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNerWords"]], "setnewnerentity() (neroverwriter method)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNewNerEntity"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setNewNerEntity"]], "setreplaceentities() (neroverwriter method)": [[142, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setReplaceEntities"], [403, "sparknlp.annotator.ner.ner_overwriter.NerOverwriter.setReplaceEntities"]], "sparknlp.annotator.ner.ner_overwriter": [[142, "module-sparknlp.annotator.ner.ner_overwriter"], [403, "module-sparknlp.annotator.ner.ner_overwriter"]], "zeroshotnermodel (class in sparknlp.annotator.ner.zero_shot_ner_model)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel"]], "getclasses() (zeroshotnermodel method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.getClasses"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.getClasses"]], "ignoreentities (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.ignoreEntities"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.ignoreEntities"]], "inputannotatortypes (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.inputAnnotatorTypes"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.inputAnnotatorTypes"]], "load() (zeroshotnermodel static method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.load"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.load"]], "name (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.name"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.name"]], "outputannotatortype (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.outputAnnotatorType"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.outputAnnotatorType"]], "predictionthreshold (zeroshotnermodel attribute)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.predictionThreshold"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.predictionThreshold"]], "pretrained() (zeroshotnermodel static method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.pretrained"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.pretrained"]], "setentitydefinitions() (zeroshotnermodel method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setEntityDefinitions"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setEntityDefinitions"]], "setpredictionthreshold() (zeroshotnermodel method)": [[143, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setPredictionThreshold"], [404, "sparknlp.annotator.ner.zero_shot_ner_model.ZeroShotNerModel.setPredictionThreshold"]], "sparknlp.annotator.ner.zero_shot_ner_model": [[143, "module-sparknlp.annotator.ner.zero_shot_ner_model"], [404, "module-sparknlp.annotator.ner.zero_shot_ner_model"]], "normalizer (class in sparknlp.annotator.normalizer)": [[144, "sparknlp.annotator.normalizer.Normalizer"], [405, "sparknlp.annotator.normalizer.Normalizer"]], "normalizermodel (class in sparknlp.annotator.normalizer)": [[144, "sparknlp.annotator.normalizer.NormalizerModel"], [405, "sparknlp.annotator.normalizer.NormalizerModel"]], "cleanuppatterns (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.cleanupPatterns"], [405, "sparknlp.annotator.normalizer.Normalizer.cleanupPatterns"]], "cleanuppatterns (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.cleanupPatterns"], [405, "sparknlp.annotator.normalizer.NormalizerModel.cleanupPatterns"]], "inputannotatortypes (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.inputAnnotatorTypes"], [405, "sparknlp.annotator.normalizer.Normalizer.inputAnnotatorTypes"]], "inputannotatortypes (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.inputAnnotatorTypes"], [405, "sparknlp.annotator.normalizer.NormalizerModel.inputAnnotatorTypes"]], "lowercase (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.lowercase"], [405, "sparknlp.annotator.normalizer.Normalizer.lowercase"]], "lowercase (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.lowercase"], [405, "sparknlp.annotator.normalizer.NormalizerModel.lowercase"]], "maxlength (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.maxLength"], [405, "sparknlp.annotator.normalizer.Normalizer.maxLength"]], "minlength (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.minLength"], [405, "sparknlp.annotator.normalizer.Normalizer.minLength"]], "name (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.name"], [405, "sparknlp.annotator.normalizer.NormalizerModel.name"]], "outputannotatortype (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.outputAnnotatorType"], [405, "sparknlp.annotator.normalizer.Normalizer.outputAnnotatorType"]], "outputannotatortype (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.outputAnnotatorType"], [405, "sparknlp.annotator.normalizer.NormalizerModel.outputAnnotatorType"]], "setcleanuppatterns() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setCleanupPatterns"], [405, "sparknlp.annotator.normalizer.Normalizer.setCleanupPatterns"]], "setlowercase() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setLowercase"], [405, "sparknlp.annotator.normalizer.Normalizer.setLowercase"]], "setmaxlength() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setMaxLength"], [405, "sparknlp.annotator.normalizer.Normalizer.setMaxLength"]], "setminlength() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setMinLength"], [405, "sparknlp.annotator.normalizer.Normalizer.setMinLength"]], "setslangdictionary() (normalizer method)": [[144, "sparknlp.annotator.normalizer.Normalizer.setSlangDictionary"], [405, "sparknlp.annotator.normalizer.Normalizer.setSlangDictionary"]], "slangdictionary (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.slangDictionary"], [405, "sparknlp.annotator.normalizer.Normalizer.slangDictionary"]], "slangmatchcase (normalizer attribute)": [[144, "sparknlp.annotator.normalizer.Normalizer.slangMatchCase"], [405, "sparknlp.annotator.normalizer.Normalizer.slangMatchCase"]], "slangmatchcase (normalizermodel attribute)": [[144, "sparknlp.annotator.normalizer.NormalizerModel.slangMatchCase"], [405, "sparknlp.annotator.normalizer.NormalizerModel.slangMatchCase"]], "sparknlp.annotator.normalizer": [[144, "module-sparknlp.annotator.normalizer"], [405, "module-sparknlp.annotator.normalizer"]], "sparknlp.annotator.openai": [[145, "module-sparknlp.annotator.openai"], [406, "module-sparknlp.annotator.openai"]], "openaicompletion (class in sparknlp.annotator.openai.openai_completion)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion"]], "bestof (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.bestOf"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.bestOf"]], "echo (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.echo"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.echo"]], "frequencypenalty (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.frequencyPenalty"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.frequencyPenalty"]], "inputannotatortypes (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.inputAnnotatorTypes"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.inputAnnotatorTypes"]], "logitbias (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logitBias"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logitBias"]], "logprobs (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logprobs"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.logprobs"]], "maxtokens (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.maxTokens"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.maxTokens"]], "model (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.model"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.model"]], "name (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.name"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.name"]], "numberofcompletions (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.numberOfCompletions"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.numberOfCompletions"]], "outputannotatortype (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.outputAnnotatorType"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.outputAnnotatorType"]], "presencepenalty (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.presencePenalty"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.presencePenalty"]], "setbestof() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setBestOf"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setBestOf"]], "setecho() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setEcho"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setEcho"]], "setfrequencypenalty() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setFrequencyPenalty"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setFrequencyPenalty"]], "setlogitbias() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogitBias"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogitBias"]], "setlogprobs() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogprobs"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setLogprobs"]], "setmaxtokens() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setMaxTokens"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setMaxTokens"]], "setmodel() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setModel"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setModel"]], "setnumberofcompletions() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setNumberOfCompletions"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setNumberOfCompletions"]], "setpresencepenalty() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setPresencePenalty"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setPresencePenalty"]], "setstop() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setStop"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setStop"]], "setsuffix() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setSuffix"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setSuffix"]], "settemperature() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTemperature"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTemperature"]], "settopp() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTopP"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setTopP"]], "setuser() (openaicompletion method)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setUser"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.setUser"]], "sparknlp.annotator.openai.openai_completion": [[146, "module-sparknlp.annotator.openai.openai_completion"], [407, "module-sparknlp.annotator.openai.openai_completion"]], "stop (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.stop"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.stop"]], "suffix (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.suffix"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.suffix"]], "temperature (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.temperature"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.temperature"]], "topp (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.topP"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.topP"]], "user (openaicompletion attribute)": [[146, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.user"], [407, "sparknlp.annotator.openai.openai_completion.OpenAICompletion.user"]], "openaiembeddings (class in sparknlp.annotator.openai.openai_embeddings)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings"]], "inputannotatortypes (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.inputAnnotatorTypes"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.inputAnnotatorTypes"]], "model (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.model"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.model"]], "name (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.name"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.name"]], "outputannotatortype (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.outputAnnotatorType"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.outputAnnotatorType"]], "setmodel() (openaiembeddings method)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setModel"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setModel"]], "setuser() (openaiembeddings method)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setUser"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.setUser"]], "sparknlp.annotator.openai.openai_embeddings": [[147, "module-sparknlp.annotator.openai.openai_embeddings"], [408, "module-sparknlp.annotator.openai.openai_embeddings"]], "user (openaiembeddings attribute)": [[147, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.user"], [408, "sparknlp.annotator.openai.openai_embeddings.OpenAIEmbeddings.user"]], "sparknlp.annotator.param": [[148, "module-sparknlp.annotator.param"], [411, "module-sparknlp.annotator.param"]], "classifierencoder (class in sparknlp.annotator.param.classifier_encoder)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder"]], "batchsize (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.batchSize"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.batchSize"]], "configprotobytes (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.configProtoBytes"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.configProtoBytes"]], "labelcolumn (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.labelColumn"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.labelColumn"]], "lr (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.lr"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.lr"]], "maxepochs (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.maxEpochs"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.maxEpochs"]], "randomseed (classifierencoder attribute)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.randomSeed"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.randomSeed"]], "setbatchsize() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setBatchSize"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setBatchSize"]], "setconfigprotobytes() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setConfigProtoBytes"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setConfigProtoBytes"]], "setlabelcolumn() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLabelColumn"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLabelColumn"]], "setlr() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLr"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setLr"]], "setmaxepochs() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setMaxEpochs"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setMaxEpochs"]], "setrandomseed() (classifierencoder method)": [[149, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setRandomSeed"], [409, "sparknlp.annotator.param.classifier_encoder.ClassifierEncoder.setRandomSeed"]], "sparknlp.annotator.param.classifier_encoder": [[149, "module-sparknlp.annotator.param.classifier_encoder"], [409, "module-sparknlp.annotator.param.classifier_encoder"]], "evaluationdlparams (class in sparknlp.annotator.param.evaluation_dl_params)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams"]], "enableoutputlogs (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.enableOutputLogs"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.enableOutputLogs"]], "evaluationlogextended (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.evaluationLogExtended"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.evaluationLogExtended"]], "outputlogspath (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.outputLogsPath"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.outputLogsPath"]], "setenableoutputlogs() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEnableOutputLogs"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEnableOutputLogs"]], "setevaluationlogextended() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEvaluationLogExtended"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setEvaluationLogExtended"]], "setoutputlogspath() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setOutputLogsPath"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setOutputLogsPath"]], "settestdataset() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setTestDataset"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setTestDataset"]], "setvalidationsplit() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setValidationSplit"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setValidationSplit"]], "setverbose() (evaluationdlparams method)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setVerbose"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.setVerbose"]], "sparknlp.annotator.param.evaluation_dl_params": [[150, "module-sparknlp.annotator.param.evaluation_dl_params"], [410, "module-sparknlp.annotator.param.evaluation_dl_params"]], "testdataset (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.testDataset"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.testDataset"]], "validationsplit (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.validationSplit"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.validationSplit"]], "verbose (evaluationdlparams attribute)": [[150, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.verbose"], [410, "sparknlp.annotator.param.evaluation_dl_params.EvaluationDLParams.verbose"]], "sparknlp.annotator.pos": [[151, "module-sparknlp.annotator.pos"], [412, "module-sparknlp.annotator.pos"]], "perceptronapproach (class in sparknlp.annotator.pos.perceptron)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach"]], "perceptronmodel (class in sparknlp.annotator.pos.perceptron)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel"], [413, "sparknlp.annotator.pos.perceptron.PerceptronModel"]], "getniterations() (perceptronapproach method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.getNIterations"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.getNIterations"]], "inputannotatortypes (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.inputAnnotatorTypes"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.inputAnnotatorTypes"]], "inputannotatortypes (perceptronmodel attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.inputAnnotatorTypes"], [413, "sparknlp.annotator.pos.perceptron.PerceptronModel.inputAnnotatorTypes"]], "niterations (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.nIterations"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.nIterations"]], "name (perceptronmodel attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.name"], [413, "sparknlp.annotator.pos.perceptron.PerceptronModel.name"]], "outputannotatortype (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.outputAnnotatorType"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.outputAnnotatorType"]], "outputannotatortype (perceptronmodel attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.outputAnnotatorType"], [413, "sparknlp.annotator.pos.perceptron.PerceptronModel.outputAnnotatorType"]], "poscol (perceptronapproach attribute)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.posCol"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.posCol"]], "pretrained() (perceptronmodel static method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronModel.pretrained"], [413, "sparknlp.annotator.pos.perceptron.PerceptronModel.pretrained"]], "setiterations() (perceptronapproach method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setIterations"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setIterations"]], "setposcolumn() (perceptronapproach method)": [[152, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setPosColumn"], [413, "sparknlp.annotator.pos.perceptron.PerceptronApproach.setPosColumn"]], "sparknlp.annotator.pos.perceptron": [[152, "module-sparknlp.annotator.pos.perceptron"], [413, "module-sparknlp.annotator.pos.perceptron"]], "sparknlp.annotator.sentence": [[153, "module-sparknlp.annotator.sentence"], [414, "module-sparknlp.annotator.sentence"]], "sentencedetector (class in sparknlp.annotator.sentence.sentence_detector)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector"]], "sentencedetectorparams (class in sparknlp.annotator.sentence.sentence_detector)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams"]], "custombounds (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBounds"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBounds"]], "customboundsstrategy (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBoundsStrategy"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.customBoundsStrategy"]], "detectlists (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.detectLists"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.detectLists"]], "explodesentences (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.explodeSentences"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.explodeSentences"]], "inputannotatortypes (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.inputAnnotatorTypes"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.inputAnnotatorTypes"]], "maxlength (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.maxLength"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.maxLength"]], "minlength (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.minLength"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.minLength"]], "name (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.name"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.name"]], "outputannotatortype (sentencedetector attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.outputAnnotatorType"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.outputAnnotatorType"]], "setcustombounds() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBounds"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBounds"]], "setcustomboundsstrategy() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBoundsStrategy"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setCustomBoundsStrategy"]], "setdetectlists() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setDetectLists"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setDetectLists"]], "setexplodesentences() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setExplodeSentences"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setExplodeSentences"]], "setmaxlength() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMaxLength"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMaxLength"]], "setminlength() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMinLength"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setMinLength"]], "setsplitlength() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setSplitLength"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setSplitLength"]], "setuseabbreviations() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseAbbreviations"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseAbbreviations"]], "setusecustomboundsonly() (sentencedetector method)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseCustomBoundsOnly"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetector.setUseCustomBoundsOnly"]], "sparknlp.annotator.sentence.sentence_detector": [[154, "module-sparknlp.annotator.sentence.sentence_detector"], [415, "module-sparknlp.annotator.sentence.sentence_detector"]], "splitlength (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.splitLength"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.splitLength"]], "useabbreviations (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useAbbreviations"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useAbbreviations"]], "usecustomboundsonly (sentencedetectorparams attribute)": [[154, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useCustomBoundsOnly"], [415, "sparknlp.annotator.sentence.sentence_detector.SentenceDetectorParams.useCustomBoundsOnly"]], "sentencedetectordlapproach (class in sparknlp.annotator.sentence.sentence_detector_dl)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach"]], "sentencedetectordlmodel (class in sparknlp.annotator.sentence.sentence_detector_dl)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel"]], "custombounds (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.customBounds"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.customBounds"]], "epochsnumber (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.epochsNumber"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.epochsNumber"]], "explodesentences (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.explodeSentences"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.explodeSentences"]], "explodesentences (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.explodeSentences"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.explodeSentences"]], "impossiblepenultimates (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.impossiblePenultimates"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.impossiblePenultimates"]], "impossiblepenultimates (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.impossiblePenultimates"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.impossiblePenultimates"]], "inputannotatortypes (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.inputAnnotatorTypes"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.inputAnnotatorTypes"]], "inputannotatortypes (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.inputAnnotatorTypes"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.inputAnnotatorTypes"]], "maxlength (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.maxLength"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.maxLength"]], "minlength (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.minLength"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.minLength"]], "modelarchitecture (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.modelArchitecture"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.modelArchitecture"]], "modelarchitecture (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.modelArchitecture"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.modelArchitecture"]], "name (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.name"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.name"]], "name (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.name"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.name"]], "outputannotatortype (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputAnnotatorType"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputAnnotatorType"]], "outputannotatortype (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.outputAnnotatorType"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.outputAnnotatorType"]], "outputlogspath (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputLogsPath"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.outputLogsPath"]], "pretrained() (sentencedetectordlmodel static method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.pretrained"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.pretrained"]], "setcustombounds() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setCustomBounds"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setCustomBounds"]], "setepochsnumber() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setEpochsNumber"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setEpochsNumber"]], "setexplodesentences() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setExplodeSentences"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setExplodeSentences"]], "setexplodesentences() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setExplodeSentences"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setExplodeSentences"]], "setimpossiblepenultimates() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setImpossiblePenultimates"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setImpossiblePenultimates"]], "setimpossiblepenultimates() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setImpossiblePenultimates"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setImpossiblePenultimates"]], "setmaxlength() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMaxLength"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMaxLength"]], "setminlength() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMinLength"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setMinLength"]], "setmodel() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setModel"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setModel"]], "setmodel() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setModel"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setModel"]], "setoutputlogspath() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setOutputLogsPath"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setOutputLogsPath"]], "setsplitlength() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setSplitLength"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setSplitLength"]], "setusecustomboundsonly() (sentencedetectordlmodel method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setUseCustomBoundsOnly"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.setUseCustomBoundsOnly"]], "setvalidationsplit() (sentencedetectordlapproach method)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setValidationSplit"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.setValidationSplit"]], "sparknlp.annotator.sentence.sentence_detector_dl": [[155, "module-sparknlp.annotator.sentence.sentence_detector_dl"], [416, "module-sparknlp.annotator.sentence.sentence_detector_dl"]], "splitlength (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.splitLength"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.splitLength"]], "usecustomboundsonly (sentencedetectordlmodel attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.useCustomBoundsOnly"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLModel.useCustomBoundsOnly"]], "validationsplit (sentencedetectordlapproach attribute)": [[155, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.validationSplit"], [416, "sparknlp.annotator.sentence.sentence_detector_dl.SentenceDetectorDLApproach.validationSplit"]], "sparknlp.annotator.sentiment": [[156, "module-sparknlp.annotator.sentiment"], [417, "module-sparknlp.annotator.sentiment"]], "sentimentdetector (class in sparknlp.annotator.sentiment.sentiment_detector)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector"]], "sentimentdetectormodel (class in sparknlp.annotator.sentiment.sentiment_detector)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel"]], "decrementmultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.decrementMultiplier"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.decrementMultiplier"]], "dictionary (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.dictionary"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.dictionary"]], "enablescore (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.enableScore"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.enableScore"]], "incrementmultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.incrementMultiplier"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.incrementMultiplier"]], "inputannotatortypes (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.inputAnnotatorTypes"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.inputAnnotatorTypes"]], "inputannotatortypes (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.inputAnnotatorTypes"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.inputAnnotatorTypes"]], "name (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.name"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.name"]], "negativemultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.negativeMultiplier"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.negativeMultiplier"]], "outputannotatortype (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.outputAnnotatorType"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.outputAnnotatorType"]], "outputannotatortype (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.outputAnnotatorType"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.outputAnnotatorType"]], "positivemultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.positiveMultiplier"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.positiveMultiplier"]], "positivemultiplier (sentimentdetectormodel attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.positiveMultiplier"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetectorModel.positiveMultiplier"]], "reversemultiplier (sentimentdetector attribute)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.reverseMultiplier"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.reverseMultiplier"]], "setdictionary() (sentimentdetector method)": [[157, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.setDictionary"], [418, "sparknlp.annotator.sentiment.sentiment_detector.SentimentDetector.setDictionary"]], "sparknlp.annotator.sentiment.sentiment_detector": [[157, "module-sparknlp.annotator.sentiment.sentiment_detector"], [418, "module-sparknlp.annotator.sentiment.sentiment_detector"]], "viveknsentimentapproach (class in sparknlp.annotator.sentiment.vivekn_sentiment)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach"]], "viveknsentimentmodel (class in sparknlp.annotator.sentiment.vivekn_sentiment)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel"]], "featurelimit (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.featureLimit"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.featureLimit"]], "featurelimit (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.featureLimit"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.featureLimit"]], "importantfeatureratio (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.importantFeatureRatio"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.importantFeatureRatio"]], "importantfeatureratio (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.importantFeatureRatio"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.importantFeatureRatio"]], "inputannotatortypes (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.inputAnnotatorTypes"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.inputAnnotatorTypes"]], "inputannotatortypes (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.inputAnnotatorTypes"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.inputAnnotatorTypes"]], "name (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.name"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.name"]], "outputannotatortype (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.outputAnnotatorType"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.outputAnnotatorType"]], "outputannotatortype (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.outputAnnotatorType"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.outputAnnotatorType"]], "pretrained() (viveknsentimentmodel static method)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.pretrained"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.pretrained"]], "prunecorpus (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.pruneCorpus"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.pruneCorpus"]], "sentimentcol (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.sentimentCol"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.sentimentCol"]], "setprunecorpus() (viveknsentimentapproach method)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setPruneCorpus"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setPruneCorpus"]], "setsentimentcol() (viveknsentimentapproach method)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setSentimentCol"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.setSentimentCol"]], "sparknlp.annotator.sentiment.vivekn_sentiment": [[158, "module-sparknlp.annotator.sentiment.vivekn_sentiment"], [419, "module-sparknlp.annotator.sentiment.vivekn_sentiment"]], "unimportantfeaturestep (viveknsentimentapproach attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.unimportantFeatureStep"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentApproach.unimportantFeatureStep"]], "unimportantfeaturestep (viveknsentimentmodel attribute)": [[158, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.unimportantFeatureStep"], [419, "sparknlp.annotator.sentiment.vivekn_sentiment.ViveknSentimentModel.unimportantFeatureStep"]], "sparknlp.annotator.seq2seq": [[159, "module-sparknlp.annotator.seq2seq"], [427, "module-sparknlp.annotator.seq2seq"]], "autoggufmodel (class in sparknlp.annotator.seq2seq.auto_gguf_model)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel"]], "close() (autoggufmodel method)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.close"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.close"]], "inputannotatortypes (autoggufmodel attribute)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.inputAnnotatorTypes"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufmodel static method)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.loadSavedModel"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.loadSavedModel"]], "name (autoggufmodel attribute)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.name"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.name"]], "outputannotatortype (autoggufmodel attribute)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.outputAnnotatorType"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.outputAnnotatorType"]], "pretrained() (autoggufmodel static method)": [[160, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.pretrained"], [420, "sparknlp.annotator.seq2seq.auto_gguf_model.AutoGGUFModel.pretrained"]], "sparknlp.annotator.seq2seq.auto_gguf_model": [[160, "module-sparknlp.annotator.seq2seq.auto_gguf_model"], [420, "module-sparknlp.annotator.seq2seq.auto_gguf_model"]], "autoggufreranker (class in sparknlp.annotator.seq2seq.auto_gguf_reranker)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker"]], "close() (autoggufreranker method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.close"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.close"]], "getquery() (autoggufreranker method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.getQuery"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.getQuery"]], "inputannotatortypes (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.inputAnnotatorTypes"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufreranker static method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.loadSavedModel"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.loadSavedModel"]], "name (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.name"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.name"]], "outputannotatortype (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.outputAnnotatorType"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.outputAnnotatorType"]], "pretrained() (autoggufreranker static method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.pretrained"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.pretrained"]], "query (autoggufreranker attribute)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.query"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.query"]], "setquery() (autoggufreranker method)": [[161, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.setQuery"], [421, "sparknlp.annotator.seq2seq.auto_gguf_reranker.AutoGGUFReranker.setQuery"]], "sparknlp.annotator.seq2seq.auto_gguf_reranker": [[161, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"], [421, "module-sparknlp.annotator.seq2seq.auto_gguf_reranker"]], "autoggufvisionmodel (class in sparknlp.annotator.seq2seq.auto_gguf_vision_model)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel"]], "close() (autoggufvisionmodel method)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.close"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.close"]], "inputannotatortypes (autoggufvisionmodel attribute)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.inputAnnotatorTypes"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.inputAnnotatorTypes"]], "loadsavedmodel() (autoggufvisionmodel static method)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.loadSavedModel"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.loadSavedModel"]], "name (autoggufvisionmodel attribute)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.name"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.name"]], "outputannotatortype (autoggufvisionmodel attribute)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.outputAnnotatorType"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.outputAnnotatorType"]], "pretrained() (autoggufvisionmodel static method)": [[162, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.pretrained"], [422, "sparknlp.annotator.seq2seq.auto_gguf_vision_model.AutoGGUFVisionModel.pretrained"]], "sparknlp.annotator.seq2seq.auto_gguf_vision_model": [[162, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"], [422, "module-sparknlp.annotator.seq2seq.auto_gguf_vision_model"]], "barttransformer (class in sparknlp.annotator.seq2seq.bart_transformer)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer"]], "beamsize (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.beamSize"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.beamSize"]], "configprotobytes (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.configProtoBytes"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.configProtoBytes"]], "dosample (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.doSample"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.doSample"]], "ignoretokenids (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.ignoreTokenIds"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.ignoreTokenIds"]], "inputannotatortypes (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.inputAnnotatorTypes"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (barttransformer static method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.loadSavedModel"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.loadSavedModel"]], "maxoutputlength (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.maxOutputLength"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.maxOutputLength"]], "minoutputlength (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.minOutputLength"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.minOutputLength"]], "name (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.name"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.name"]], "norepeatngramsize (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.noRepeatNgramSize"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.noRepeatNgramSize"]], "outputannotatortype (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.outputAnnotatorType"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.outputAnnotatorType"]], "pretrained() (barttransformer static method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.pretrained"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.pretrained"]], "repetitionpenalty (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.repetitionPenalty"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.repetitionPenalty"]], "setbeamsize() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setBeamSize"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setBeamSize"]], "setcache() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setCache"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setCache"]], "setconfigprotobytes() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setConfigProtoBytes"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setConfigProtoBytes"]], "setdosample() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setDoSample"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setDoSample"]], "setignoretokenids() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setIgnoreTokenIds"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMaxOutputLength"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMaxOutputLength"]], "setminoutputlength() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMinOutputLength"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setMinOutputLength"]], "setnorepeatngramsize() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setNoRepeatNgramSize"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setRepetitionPenalty"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setRepetitionPenalty"]], "settask() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTask"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTask"]], "settemperature() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTemperature"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTemperature"]], "settopk() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopK"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopK"]], "settopp() (barttransformer method)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopP"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.setTopP"]], "sparknlp.annotator.seq2seq.bart_transformer": [[163, "module-sparknlp.annotator.seq2seq.bart_transformer"], [423, "module-sparknlp.annotator.seq2seq.bart_transformer"]], "task (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.task"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.task"]], "temperature (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.temperature"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.temperature"]], "topk (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topK"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topK"]], "topp (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topP"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.topP"]], "usecache (barttransformer attribute)": [[163, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.useCache"], [423, "sparknlp.annotator.seq2seq.bart_transformer.BartTransformer.useCache"]], "coheretransformer (class in sparknlp.annotator.seq2seq.cohere_transformer)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer"]], "beamsize (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.beamSize"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.beamSize"]], "configprotobytes (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.configProtoBytes"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.configProtoBytes"]], "dosample (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.doSample"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.doSample"]], "ignoretokenids (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.ignoreTokenIds"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.ignoreTokenIds"]], "inputannotatortypes (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.inputAnnotatorTypes"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (coheretransformer static method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.loadSavedModel"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.loadSavedModel"]], "maxoutputlength (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.maxOutputLength"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.maxOutputLength"]], "minoutputlength (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.minOutputLength"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.minOutputLength"]], "name (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.name"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.name"]], "norepeatngramsize (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.noRepeatNgramSize"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.noRepeatNgramSize"]], "outputannotatortype (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.outputAnnotatorType"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.outputAnnotatorType"]], "pretrained() (coheretransformer static method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.pretrained"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.pretrained"]], "repetitionpenalty (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.repetitionPenalty"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.repetitionPenalty"]], "setbeamsize() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setBeamSize"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setBeamSize"]], "setconfigprotobytes() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setConfigProtoBytes"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setConfigProtoBytes"]], "setdosample() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setDoSample"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setDoSample"]], "setignoretokenids() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setIgnoreTokenIds"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMaxOutputLength"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMaxOutputLength"]], "setminoutputlength() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMinOutputLength"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setMinOutputLength"]], "setnorepeatngramsize() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setNoRepeatNgramSize"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setRepetitionPenalty"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setRepetitionPenalty"]], "setstoptokenids() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setStopTokenIds"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setStopTokenIds"]], "settemperature() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTemperature"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTemperature"]], "settopk() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopK"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopK"]], "settopp() (coheretransformer method)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopP"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.setTopP"]], "sparknlp.annotator.seq2seq.cohere_transformer": [[164, "module-sparknlp.annotator.seq2seq.cohere_transformer"], [424, "module-sparknlp.annotator.seq2seq.cohere_transformer"]], "stoptokenids (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.stopTokenIds"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.stopTokenIds"]], "temperature (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.temperature"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.temperature"]], "topk (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topK"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topK"]], "topp (coheretransformer attribute)": [[164, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topP"], [424, "sparknlp.annotator.seq2seq.cohere_transformer.CoHereTransformer.topP"]], "cpmtransformer (class in sparknlp.annotator.seq2seq.cpm_transformer)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer"]], "configprotobytes (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.configProtoBytes"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.configProtoBytes"]], "dosample (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.doSample"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.doSample"]], "ignoretokenids (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.ignoreTokenIds"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.ignoreTokenIds"]], "inputannotatortypes (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.inputAnnotatorTypes"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (cpmtransformer static method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.loadSavedModel"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.loadSavedModel"]], "maxoutputlength (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.maxOutputLength"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.maxOutputLength"]], "minoutputlength (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.minOutputLength"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.minOutputLength"]], "name (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.name"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.name"]], "norepeatngramsize (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.noRepeatNgramSize"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.noRepeatNgramSize"]], "outputannotatortype (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.outputAnnotatorType"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.outputAnnotatorType"]], "pretrained() (cpmtransformer static method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.pretrained"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.pretrained"]], "repetitionpenalty (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.repetitionPenalty"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.repetitionPenalty"]], "setconfigprotobytes() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setConfigProtoBytes"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setConfigProtoBytes"]], "setdosample() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setDoSample"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setDoSample"]], "setignoretokenids() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setIgnoreTokenIds"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMaxOutputLength"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMaxOutputLength"]], "setminoutputlength() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMinOutputLength"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setMinOutputLength"]], "setnorepeatngramsize() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setNoRepeatNgramSize"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setRepetitionPenalty"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setRepetitionPenalty"]], "settemperature() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTemperature"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTemperature"]], "settopk() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopK"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopK"]], "settopp() (cpmtransformer method)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopP"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.setTopP"]], "sparknlp.annotator.seq2seq.cpm_transformer": [[165, "module-sparknlp.annotator.seq2seq.cpm_transformer"], [425, "module-sparknlp.annotator.seq2seq.cpm_transformer"]], "temperature (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.temperature"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.temperature"]], "topk (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topK"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topK"]], "topp (cpmtransformer attribute)": [[165, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topP"], [425, "sparknlp.annotator.seq2seq.cpm_transformer.CPMTransformer.topP"]], "gpt2transformer (class in sparknlp.annotator.seq2seq.gpt2_transformer)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer"]], "configprotobytes (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.configProtoBytes"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.configProtoBytes"]], "dosample (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.doSample"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.doSample"]], "ignoretokenids (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.ignoreTokenIds"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.ignoreTokenIds"]], "inputannotatortypes (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.inputAnnotatorTypes"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (gpt2transformer static method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.loadSavedModel"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.loadSavedModel"]], "maxoutputlength (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.maxOutputLength"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.maxOutputLength"]], "minoutputlength (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.minOutputLength"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.minOutputLength"]], "name (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.name"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.name"]], "norepeatngramsize (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.noRepeatNgramSize"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.noRepeatNgramSize"]], "outputannotatortype (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.outputAnnotatorType"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.outputAnnotatorType"]], "pretrained() (gpt2transformer static method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.pretrained"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.pretrained"]], "repetitionpenalty (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.repetitionPenalty"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.repetitionPenalty"]], "setconfigprotobytes() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setConfigProtoBytes"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setConfigProtoBytes"]], "setdosample() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setDoSample"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setDoSample"]], "setignoretokenids() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setIgnoreTokenIds"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMaxOutputLength"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMaxOutputLength"]], "setminoutputlength() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMinOutputLength"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setNoRepeatNgramSize"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setRepetitionPenalty"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setRepetitionPenalty"]], "settask() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTask"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTask"]], "settemperature() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTemperature"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTemperature"]], "settopk() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopK"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopK"]], "settopp() (gpt2transformer method)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopP"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.setTopP"]], "sparknlp.annotator.seq2seq.gpt2_transformer": [[166, "module-sparknlp.annotator.seq2seq.gpt2_transformer"], [426, "module-sparknlp.annotator.seq2seq.gpt2_transformer"]], "task (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.task"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.task"]], "temperature (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.temperature"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.temperature"]], "topk (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topK"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topK"]], "topp (gpt2transformer attribute)": [[166, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topP"], [426, "sparknlp.annotator.seq2seq.gpt2_transformer.GPT2Transformer.topP"]], "llama2transformer (class in sparknlp.annotator.seq2seq.llama2_transformer)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer"]], "configprotobytes (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.configProtoBytes"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.configProtoBytes"]], "dosample (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.doSample"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.doSample"]], "ignoretokenids (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.ignoreTokenIds"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.ignoreTokenIds"]], "inputannotatortypes (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.inputAnnotatorTypes"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (llama2transformer static method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.loadSavedModel"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.loadSavedModel"]], "maxoutputlength (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.maxOutputLength"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.maxOutputLength"]], "minoutputlength (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.minOutputLength"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.minOutputLength"]], "name (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.name"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.name"]], "norepeatngramsize (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.noRepeatNgramSize"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.noRepeatNgramSize"]], "outputannotatortype (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.outputAnnotatorType"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.outputAnnotatorType"]], "pretrained() (llama2transformer static method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.pretrained"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.pretrained"]], "repetitionpenalty (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.repetitionPenalty"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.repetitionPenalty"]], "setconfigprotobytes() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setConfigProtoBytes"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setConfigProtoBytes"]], "setdosample() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setDoSample"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setDoSample"]], "setignoretokenids() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setIgnoreTokenIds"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMaxOutputLength"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMaxOutputLength"]], "setminoutputlength() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMinOutputLength"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setNoRepeatNgramSize"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setRepetitionPenalty"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setRepetitionPenalty"]], "settemperature() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTemperature"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTemperature"]], "settopk() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopK"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopK"]], "settopp() (llama2transformer method)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopP"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.setTopP"]], "sparknlp.annotator.seq2seq.llama2_transformer": [[167, "module-sparknlp.annotator.seq2seq.llama2_transformer"], [428, "module-sparknlp.annotator.seq2seq.llama2_transformer"]], "temperature (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.temperature"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.temperature"]], "topk (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topK"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topK"]], "topp (llama2transformer attribute)": [[167, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topP"], [428, "sparknlp.annotator.seq2seq.llama2_transformer.LLAMA2Transformer.topP"]], "llama3transformer (class in sparknlp.annotator.seq2seq.llama3_transformer)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer"]], "beamsize (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.beamSize"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.beamSize"]], "configprotobytes (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.configProtoBytes"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.configProtoBytes"]], "dosample (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.doSample"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.doSample"]], "ignoretokenids (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.ignoreTokenIds"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.ignoreTokenIds"]], "inputannotatortypes (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.inputAnnotatorTypes"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (llama3transformer static method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.loadSavedModel"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.loadSavedModel"]], "maxoutputlength (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.maxOutputLength"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.maxOutputLength"]], "minoutputlength (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.minOutputLength"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.minOutputLength"]], "name (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.name"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.name"]], "norepeatngramsize (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.noRepeatNgramSize"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.noRepeatNgramSize"]], "outputannotatortype (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.outputAnnotatorType"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.outputAnnotatorType"]], "pretrained() (llama3transformer static method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.pretrained"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.pretrained"]], "repetitionpenalty (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.repetitionPenalty"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.repetitionPenalty"]], "setbeamsize() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setBeamSize"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setBeamSize"]], "setconfigprotobytes() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setConfigProtoBytes"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setConfigProtoBytes"]], "setdosample() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setDoSample"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setDoSample"]], "setignoretokenids() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setIgnoreTokenIds"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMaxOutputLength"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMaxOutputLength"]], "setminoutputlength() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMinOutputLength"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setMinOutputLength"]], "setnorepeatngramsize() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setNoRepeatNgramSize"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setRepetitionPenalty"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setRepetitionPenalty"]], "setstoptokenids() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setStopTokenIds"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setStopTokenIds"]], "settemperature() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTemperature"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTemperature"]], "settopk() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopK"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopK"]], "settopp() (llama3transformer method)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopP"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.setTopP"]], "sparknlp.annotator.seq2seq.llama3_transformer": [[168, "module-sparknlp.annotator.seq2seq.llama3_transformer"], [429, "module-sparknlp.annotator.seq2seq.llama3_transformer"]], "stoptokenids (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.stopTokenIds"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.stopTokenIds"]], "temperature (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.temperature"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.temperature"]], "topk (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topK"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topK"]], "topp (llama3transformer attribute)": [[168, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topP"], [429, "sparknlp.annotator.seq2seq.llama3_transformer.LLAMA3Transformer.topP"]], "m2m100transformer (class in sparknlp.annotator.seq2seq.m2m100_transformer)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer"]], "beamsize (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.beamSize"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.beamSize"]], "configprotobytes (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.configProtoBytes"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.configProtoBytes"]], "dosample (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.doSample"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.doSample"]], "ignoretokenids (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.ignoreTokenIds"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.ignoreTokenIds"]], "inputannotatortypes (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.inputAnnotatorTypes"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (m2m100transformer static method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.loadSavedModel"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.loadSavedModel"]], "maxoutputlength (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.maxOutputLength"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.maxOutputLength"]], "minoutputlength (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.minOutputLength"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.minOutputLength"]], "name (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.name"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.name"]], "norepeatngramsize (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.noRepeatNgramSize"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.noRepeatNgramSize"]], "outputannotatortype (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.outputAnnotatorType"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.outputAnnotatorType"]], "pretrained() (m2m100transformer static method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.pretrained"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.pretrained"]], "repetitionpenalty (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.repetitionPenalty"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.repetitionPenalty"]], "setbeamsize() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setBeamSize"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setBeamSize"]], "setconfigprotobytes() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setConfigProtoBytes"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setConfigProtoBytes"]], "setdosample() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setDoSample"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setDoSample"]], "setignoretokenids() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setIgnoreTokenIds"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMaxOutputLength"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMaxOutputLength"]], "setminoutputlength() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMinOutputLength"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setMinOutputLength"]], "setnorepeatngramsize() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setNoRepeatNgramSize"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setRepetitionPenalty"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setRepetitionPenalty"]], "setsrclang() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setSrcLang"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setSrcLang"]], "settemperature() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTemperature"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTemperature"]], "settgtlang() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTgtLang"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTgtLang"]], "settopk() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopK"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopK"]], "settopp() (m2m100transformer method)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopP"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.setTopP"]], "sparknlp.annotator.seq2seq.m2m100_transformer": [[169, "module-sparknlp.annotator.seq2seq.m2m100_transformer"], [430, "module-sparknlp.annotator.seq2seq.m2m100_transformer"]], "srclang (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.srcLang"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.srcLang"]], "temperature (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.temperature"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.temperature"]], "tgtlang (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.tgtLang"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.tgtLang"]], "topk (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topK"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topK"]], "topp (m2m100transformer attribute)": [[169, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topP"], [430, "sparknlp.annotator.seq2seq.m2m100_transformer.M2M100Transformer.topP"]], "mariantransformer (class in sparknlp.annotator.seq2seq.marian_transformer)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer"]], "configprotobytes (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.configProtoBytes"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.configProtoBytes"]], "dosample (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.doSample"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.doSample"]], "ignoretokenids (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.ignoreTokenIds"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.ignoreTokenIds"]], "inputannotatortypes (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.inputAnnotatorTypes"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.inputAnnotatorTypes"]], "langid (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.langId"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.langId"]], "loadsavedmodel() (mariantransformer static method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.loadSavedModel"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.loadSavedModel"]], "maxinputlength (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxInputLength"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxInputLength"]], "maxoutputlength (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxOutputLength"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.maxOutputLength"]], "name (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.name"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.name"]], "norepeatngramsize (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.noRepeatNgramSize"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.noRepeatNgramSize"]], "outputannotatortype (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.outputAnnotatorType"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.outputAnnotatorType"]], "pretrained() (mariantransformer static method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.pretrained"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.pretrained"]], "repetitionpenalty (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.repetitionPenalty"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.repetitionPenalty"]], "setconfigprotobytes() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setConfigProtoBytes"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setConfigProtoBytes"]], "setdosample() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setDoSample"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setDoSample"]], "setignoretokenids() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setIgnoreTokenIds"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setIgnoreTokenIds"]], "setlangid() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setLangId"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setLangId"]], "setmaxinputlength() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxInputLength"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxInputLength"]], "setmaxoutputlength() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxOutputLength"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setMaxOutputLength"]], "setnorepeatngramsize() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setNoRepeatNgramSize"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setNoRepeatNgramSize"]], "setrandomseed() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRandomSeed"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRandomSeed"]], "setrepetitionpenalty() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRepetitionPenalty"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setRepetitionPenalty"]], "settemperature() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTemperature"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTemperature"]], "settopk() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopK"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopK"]], "settopp() (mariantransformer method)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopP"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.setTopP"]], "sparknlp.annotator.seq2seq.marian_transformer": [[170, "module-sparknlp.annotator.seq2seq.marian_transformer"], [431, "module-sparknlp.annotator.seq2seq.marian_transformer"]], "temperature (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.temperature"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.temperature"]], "topk (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topK"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topK"]], "topp (mariantransformer attribute)": [[170, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topP"], [431, "sparknlp.annotator.seq2seq.marian_transformer.MarianTransformer.topP"]], "mistraltransformer (class in sparknlp.annotator.seq2seq.mistral_transformer)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer"]], "configprotobytes (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.configProtoBytes"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.configProtoBytes"]], "dosample (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.doSample"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.doSample"]], "ignoretokenids (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.ignoreTokenIds"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.ignoreTokenIds"]], "inputannotatortypes (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.inputAnnotatorTypes"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (mistraltransformer static method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.loadSavedModel"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.loadSavedModel"]], "maxoutputlength (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.maxOutputLength"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.maxOutputLength"]], "minoutputlength (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.minOutputLength"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.minOutputLength"]], "name (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.name"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.name"]], "norepeatngramsize (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.noRepeatNgramSize"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.noRepeatNgramSize"]], "outputannotatortype (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.outputAnnotatorType"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.outputAnnotatorType"]], "pretrained() (mistraltransformer static method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.pretrained"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.pretrained"]], "repetitionpenalty (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.repetitionPenalty"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.repetitionPenalty"]], "setconfigprotobytes() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setConfigProtoBytes"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setConfigProtoBytes"]], "setdosample() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setDoSample"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setDoSample"]], "setignoretokenids() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setIgnoreTokenIds"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMaxOutputLength"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMaxOutputLength"]], "setminoutputlength() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMinOutputLength"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setMinOutputLength"]], "setnorepeatngramsize() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setNoRepeatNgramSize"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setRepetitionPenalty"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setRepetitionPenalty"]], "settemperature() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTemperature"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTemperature"]], "settopk() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopK"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopK"]], "settopp() (mistraltransformer method)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopP"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.setTopP"]], "sparknlp.annotator.seq2seq.mistral_transformer": [[171, "module-sparknlp.annotator.seq2seq.mistral_transformer"], [432, "module-sparknlp.annotator.seq2seq.mistral_transformer"]], "temperature (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.temperature"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.temperature"]], "topk (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topK"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topK"]], "topp (mistraltransformer attribute)": [[171, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topP"], [432, "sparknlp.annotator.seq2seq.mistral_transformer.MistralTransformer.topP"]], "nllbtransformer (class in sparknlp.annotator.seq2seq.nllb_transformer)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer"]], "beamsize (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.beamSize"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.beamSize"]], "configprotobytes (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.configProtoBytes"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.configProtoBytes"]], "dosample (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.doSample"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.doSample"]], "ignoretokenids (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.ignoreTokenIds"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.ignoreTokenIds"]], "inputannotatortypes (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.inputAnnotatorTypes"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (nllbtransformer static method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.loadSavedModel"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.loadSavedModel"]], "maxoutputlength (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.maxOutputLength"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.maxOutputLength"]], "minoutputlength (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.minOutputLength"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.minOutputLength"]], "name (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.name"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.name"]], "norepeatngramsize (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.noRepeatNgramSize"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.noRepeatNgramSize"]], "outputannotatortype (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.outputAnnotatorType"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.outputAnnotatorType"]], "pretrained() (nllbtransformer static method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.pretrained"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.pretrained"]], "repetitionpenalty (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.repetitionPenalty"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.repetitionPenalty"]], "setbeamsize() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setBeamSize"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setBeamSize"]], "setconfigprotobytes() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setConfigProtoBytes"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setConfigProtoBytes"]], "setdosample() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setDoSample"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setDoSample"]], "setignoretokenids() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setIgnoreTokenIds"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMaxOutputLength"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMaxOutputLength"]], "setminoutputlength() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMinOutputLength"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setMinOutputLength"]], "setnorepeatngramsize() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setNoRepeatNgramSize"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setRepetitionPenalty"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setRepetitionPenalty"]], "setsrclang() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setSrcLang"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setSrcLang"]], "settemperature() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTemperature"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTemperature"]], "settgtlang() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTgtLang"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTgtLang"]], "settopk() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopK"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopK"]], "settopp() (nllbtransformer method)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopP"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.setTopP"]], "sparknlp.annotator.seq2seq.nllb_transformer": [[172, "module-sparknlp.annotator.seq2seq.nllb_transformer"], [433, "module-sparknlp.annotator.seq2seq.nllb_transformer"]], "srclang (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.srcLang"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.srcLang"]], "temperature (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.temperature"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.temperature"]], "tgtlang (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.tgtLang"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.tgtLang"]], "topk (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topK"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topK"]], "topp (nllbtransformer attribute)": [[172, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topP"], [433, "sparknlp.annotator.seq2seq.nllb_transformer.NLLBTransformer.topP"]], "olmotransformer (class in sparknlp.annotator.seq2seq.olmo_transformer)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer"]], "configprotobytes (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.configProtoBytes"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.configProtoBytes"]], "dosample (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.doSample"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.doSample"]], "ignoretokenids (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.ignoreTokenIds"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.ignoreTokenIds"]], "inputannotatortypes (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.inputAnnotatorTypes"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (olmotransformer static method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.loadSavedModel"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.loadSavedModel"]], "maxoutputlength (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.maxOutputLength"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.maxOutputLength"]], "minoutputlength (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.minOutputLength"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.minOutputLength"]], "name (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.name"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.name"]], "norepeatngramsize (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.noRepeatNgramSize"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.noRepeatNgramSize"]], "outputannotatortype (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.outputAnnotatorType"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.outputAnnotatorType"]], "pretrained() (olmotransformer static method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.pretrained"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.pretrained"]], "repetitionpenalty (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.repetitionPenalty"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.repetitionPenalty"]], "setconfigprotobytes() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setConfigProtoBytes"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setConfigProtoBytes"]], "setdosample() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setDoSample"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setDoSample"]], "setignoretokenids() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setIgnoreTokenIds"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMaxOutputLength"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMaxOutputLength"]], "setminoutputlength() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMinOutputLength"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setMinOutputLength"]], "setnorepeatngramsize() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setNoRepeatNgramSize"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setRepetitionPenalty"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setRepetitionPenalty"]], "settemperature() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTemperature"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTemperature"]], "settopk() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopK"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopK"]], "settopp() (olmotransformer method)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopP"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.setTopP"]], "sparknlp.annotator.seq2seq.olmo_transformer": [[173, "module-sparknlp.annotator.seq2seq.olmo_transformer"], [434, "module-sparknlp.annotator.seq2seq.olmo_transformer"]], "temperature (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.temperature"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.temperature"]], "topk (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topK"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topK"]], "topp (olmotransformer attribute)": [[173, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topP"], [434, "sparknlp.annotator.seq2seq.olmo_transformer.OLMoTransformer.topP"]], "phi2transformer (class in sparknlp.annotator.seq2seq.phi2_transformer)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer"]], "configprotobytes (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.configProtoBytes"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.configProtoBytes"]], "dosample (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.doSample"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.doSample"]], "ignoretokenids (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.ignoreTokenIds"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.ignoreTokenIds"]], "inputannotatortypes (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.inputAnnotatorTypes"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (phi2transformer static method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.loadSavedModel"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.loadSavedModel"]], "maxoutputlength (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.maxOutputLength"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.maxOutputLength"]], "minoutputlength (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.minOutputLength"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.minOutputLength"]], "name (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.name"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.name"]], "norepeatngramsize (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.noRepeatNgramSize"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.noRepeatNgramSize"]], "outputannotatortype (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.outputAnnotatorType"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.outputAnnotatorType"]], "pretrained() (phi2transformer static method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.pretrained"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.pretrained"]], "repetitionpenalty (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.repetitionPenalty"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.repetitionPenalty"]], "setconfigprotobytes() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setConfigProtoBytes"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setConfigProtoBytes"]], "setdosample() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setDoSample"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setDoSample"]], "setignoretokenids() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setIgnoreTokenIds"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMaxOutputLength"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMaxOutputLength"]], "setminoutputlength() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMinOutputLength"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setMinOutputLength"]], "setnorepeatngramsize() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setNoRepeatNgramSize"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setRepetitionPenalty"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setRepetitionPenalty"]], "settemperature() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTemperature"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTemperature"]], "settopk() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopK"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopK"]], "settopp() (phi2transformer method)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopP"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.setTopP"]], "sparknlp.annotator.seq2seq.phi2_transformer": [[174, "module-sparknlp.annotator.seq2seq.phi2_transformer"], [435, "module-sparknlp.annotator.seq2seq.phi2_transformer"]], "temperature (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.temperature"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.temperature"]], "topk (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topK"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topK"]], "topp (phi2transformer attribute)": [[174, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topP"], [435, "sparknlp.annotator.seq2seq.phi2_transformer.Phi2Transformer.topP"]], "phi3transformer (class in sparknlp.annotator.seq2seq.phi3_transformer)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer"]], "configprotobytes (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.configProtoBytes"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.configProtoBytes"]], "dosample (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.doSample"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.doSample"]], "ignoretokenids (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.ignoreTokenIds"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.ignoreTokenIds"]], "inputannotatortypes (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.inputAnnotatorTypes"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (phi3transformer static method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.loadSavedModel"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.loadSavedModel"]], "maxoutputlength (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.maxOutputLength"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.maxOutputLength"]], "minoutputlength (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.minOutputLength"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.minOutputLength"]], "name (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.name"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.name"]], "norepeatngramsize (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.noRepeatNgramSize"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.noRepeatNgramSize"]], "outputannotatortype (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.outputAnnotatorType"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.outputAnnotatorType"]], "pretrained() (phi3transformer static method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.pretrained"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.pretrained"]], "repetitionpenalty (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.repetitionPenalty"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.repetitionPenalty"]], "setconfigprotobytes() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setConfigProtoBytes"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setConfigProtoBytes"]], "setdosample() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setDoSample"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setDoSample"]], "setignoretokenids() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setIgnoreTokenIds"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMaxOutputLength"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMaxOutputLength"]], "setminoutputlength() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMinOutputLength"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setMinOutputLength"]], "setnorepeatngramsize() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setNoRepeatNgramSize"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setRepetitionPenalty"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setRepetitionPenalty"]], "settemperature() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTemperature"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTemperature"]], "settopk() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopK"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopK"]], "settopp() (phi3transformer method)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopP"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.setTopP"]], "sparknlp.annotator.seq2seq.phi3_transformer": [[175, "module-sparknlp.annotator.seq2seq.phi3_transformer"], [436, "module-sparknlp.annotator.seq2seq.phi3_transformer"]], "temperature (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.temperature"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.temperature"]], "topk (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topK"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topK"]], "topp (phi3transformer attribute)": [[175, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topP"], [436, "sparknlp.annotator.seq2seq.phi3_transformer.Phi3Transformer.topP"]], "phi4transformer (class in sparknlp.annotator.seq2seq.phi4_transformer)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer"]], "beamsize (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.beamSize"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.beamSize"]], "configprotobytes (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.configProtoBytes"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.configProtoBytes"]], "dosample (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.doSample"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.doSample"]], "ignoretokenids (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.ignoreTokenIds"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.ignoreTokenIds"]], "inputannotatortypes (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.inputAnnotatorTypes"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (phi4transformer static method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.loadSavedModel"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.loadSavedModel"]], "maxoutputlength (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.maxOutputLength"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.maxOutputLength"]], "minoutputlength (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.minOutputLength"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.minOutputLength"]], "name (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.name"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.name"]], "norepeatngramsize (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.noRepeatNgramSize"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.noRepeatNgramSize"]], "outputannotatortype (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.outputAnnotatorType"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.outputAnnotatorType"]], "pretrained() (phi4transformer static method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.pretrained"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.pretrained"]], "repetitionpenalty (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.repetitionPenalty"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.repetitionPenalty"]], "setbeamsize() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setBeamSize"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setBeamSize"]], "setconfigprotobytes() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setConfigProtoBytes"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setConfigProtoBytes"]], "setdosample() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setDoSample"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setDoSample"]], "setignoretokenids() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setIgnoreTokenIds"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setIgnoreTokenIds"]], "setmaxoutputlength() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMaxOutputLength"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMaxOutputLength"]], "setminoutputlength() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMinOutputLength"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setMinOutputLength"]], "setnorepeatngramsize() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setNoRepeatNgramSize"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setRepetitionPenalty"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setRepetitionPenalty"]], "setstoptokenids() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setStopTokenIds"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setStopTokenIds"]], "settemperature() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTemperature"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTemperature"]], "settopk() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopK"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopK"]], "settopp() (phi4transformer method)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopP"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.setTopP"]], "sparknlp.annotator.seq2seq.phi4_transformer": [[176, "module-sparknlp.annotator.seq2seq.phi4_transformer"], [437, "module-sparknlp.annotator.seq2seq.phi4_transformer"]], "stoptokenids (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.stopTokenIds"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.stopTokenIds"]], "temperature (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.temperature"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.temperature"]], "topk (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topK"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topK"]], "topp (phi4transformer attribute)": [[176, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topP"], [437, "sparknlp.annotator.seq2seq.phi4_transformer.Phi4Transformer.topP"]], "qwentransformer (class in sparknlp.annotator.seq2seq.qwen_transformer)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer"]], "configprotobytes (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.configProtoBytes"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.configProtoBytes"]], "dosample (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.doSample"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.doSample"]], "ignoretokenids (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.ignoreTokenIds"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.ignoreTokenIds"]], "inputannotatortypes (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.inputAnnotatorTypes"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (qwentransformer static method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.loadSavedModel"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.loadSavedModel"]], "maxoutputlength (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.maxOutputLength"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.maxOutputLength"]], "minoutputlength (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.minOutputLength"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.minOutputLength"]], "name (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.name"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.name"]], "norepeatngramsize (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.noRepeatNgramSize"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.noRepeatNgramSize"]], "outputannotatortype (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.outputAnnotatorType"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.outputAnnotatorType"]], "pretrained() (qwentransformer static method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.pretrained"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.pretrained"]], "repetitionpenalty (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.repetitionPenalty"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.repetitionPenalty"]], "setconfigprotobytes() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setConfigProtoBytes"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setConfigProtoBytes"]], "setdosample() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setDoSample"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setDoSample"]], "setignoretokenids() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setIgnoreTokenIds"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMaxOutputLength"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMaxOutputLength"]], "setminoutputlength() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMinOutputLength"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setMinOutputLength"]], "setnorepeatngramsize() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setNoRepeatNgramSize"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setRepetitionPenalty"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setRepetitionPenalty"]], "settemperature() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTemperature"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTemperature"]], "settopk() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopK"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopK"]], "settopp() (qwentransformer method)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopP"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.setTopP"]], "sparknlp.annotator.seq2seq.qwen_transformer": [[177, "module-sparknlp.annotator.seq2seq.qwen_transformer"], [438, "module-sparknlp.annotator.seq2seq.qwen_transformer"]], "temperature (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.temperature"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.temperature"]], "topk (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topK"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topK"]], "topp (qwentransformer attribute)": [[177, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topP"], [438, "sparknlp.annotator.seq2seq.qwen_transformer.QwenTransformer.topP"]], "starcodertransformer (class in sparknlp.annotator.seq2seq.starcoder_transformer)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer"]], "configprotobytes (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.configProtoBytes"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.configProtoBytes"]], "dosample (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.doSample"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.doSample"]], "ignoretokenids (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.ignoreTokenIds"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.ignoreTokenIds"]], "inputannotatortypes (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.inputAnnotatorTypes"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.inputAnnotatorTypes"]], "loadsavedmodel() (starcodertransformer static method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.loadSavedModel"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.loadSavedModel"]], "maxoutputlength (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.maxOutputLength"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.maxOutputLength"]], "minoutputlength (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.minOutputLength"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.minOutputLength"]], "name (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.name"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.name"]], "norepeatngramsize (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.noRepeatNgramSize"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.noRepeatNgramSize"]], "outputannotatortype (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.outputAnnotatorType"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.outputAnnotatorType"]], "pretrained() (starcodertransformer static method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.pretrained"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.pretrained"]], "repetitionpenalty (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.repetitionPenalty"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.repetitionPenalty"]], "setconfigprotobytes() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setConfigProtoBytes"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setConfigProtoBytes"]], "setdosample() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setDoSample"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setDoSample"]], "setignoretokenids() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setIgnoreTokenIds"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setIgnoreTokenIds"]], "setmaxoutputlength() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMaxOutputLength"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMaxOutputLength"]], "setminoutputlength() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMinOutputLength"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setMinOutputLength"]], "setnorepeatngramsize() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setNoRepeatNgramSize"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setRepetitionPenalty"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setRepetitionPenalty"]], "settemperature() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTemperature"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTemperature"]], "settopk() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopK"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopK"]], "settopp() (starcodertransformer method)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopP"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.setTopP"]], "sparknlp.annotator.seq2seq.starcoder_transformer": [[178, "module-sparknlp.annotator.seq2seq.starcoder_transformer"], [439, "module-sparknlp.annotator.seq2seq.starcoder_transformer"]], "temperature (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.temperature"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.temperature"]], "topk (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topK"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topK"]], "topp (starcodertransformer attribute)": [[178, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topP"], [439, "sparknlp.annotator.seq2seq.starcoder_transformer.StarCoderTransformer.topP"]], "t5transformer (class in sparknlp.annotator.seq2seq.t5_transformer)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer"]], "configprotobytes (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.configProtoBytes"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.configProtoBytes"]], "dosample (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.doSample"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.doSample"]], "ignoretokenids (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.ignoreTokenIds"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.ignoreTokenIds"]], "inputannotatortypes (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.inputAnnotatorTypes"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.inputAnnotatorTypes"]], "loadsavedmodel() (t5transformer static method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.loadSavedModel"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.loadSavedModel"]], "maxnewtokens (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxNewTokens"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxNewTokens"]], "maxoutputlength (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxOutputLength"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.maxOutputLength"]], "minoutputlength (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.minOutputLength"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.minOutputLength"]], "name (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.name"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.name"]], "norepeatngramsize (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.noRepeatNgramSize"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.noRepeatNgramSize"]], "outputannotatortype (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.outputAnnotatorType"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.outputAnnotatorType"]], "pretrained() (t5transformer static method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.pretrained"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.pretrained"]], "repetitionpenalty (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.repetitionPenalty"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.repetitionPenalty"]], "setconfigprotobytes() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setConfigProtoBytes"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setConfigProtoBytes"]], "setdosample() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setDoSample"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setDoSample"]], "setignoretokenids() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setIgnoreTokenIds"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setIgnoreTokenIds"]], "setmaxnewtokens() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxNewTokens"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxNewTokens"]], "setmaxoutputlength() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxOutputLength"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMaxOutputLength"]], "setminoutputlength() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMinOutputLength"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setMinOutputLength"]], "setnorepeatngramsize() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setNoRepeatNgramSize"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setNoRepeatNgramSize"]], "setrepetitionpenalty() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setRepetitionPenalty"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setRepetitionPenalty"]], "setstopateos() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setStopAtEos"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setStopAtEos"]], "settask() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTask"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTask"]], "settemperature() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTemperature"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTemperature"]], "settopk() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopK"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopK"]], "settopp() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopP"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setTopP"]], "setusecache() (t5transformer method)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setUseCache"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.setUseCache"]], "sparknlp.annotator.seq2seq.t5_transformer": [[179, "module-sparknlp.annotator.seq2seq.t5_transformer"], [440, "module-sparknlp.annotator.seq2seq.t5_transformer"]], "stopateos (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.stopAtEos"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.stopAtEos"]], "task (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.task"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.task"]], "temperature (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.temperature"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.temperature"]], "topk (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topK"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topK"]], "topp (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topP"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.topP"]], "usecache (t5transformer attribute)": [[179, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.useCache"], [440, "sparknlp.annotator.seq2seq.t5_transformer.T5Transformer.useCache"]], "sparknlp.annotator.similarity": [[180, "module-sparknlp.annotator.similarity"], [442, "module-sparknlp.annotator.similarity"]], "documentsimilarityrankerapproach (class in sparknlp.annotator.similarity.document_similarity_ranker)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach"]], "documentsimilarityrankerfinisher (class in sparknlp.annotator.similarity.document_similarity_ranker)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher"]], "documentsimilarityrankermodel (class in sparknlp.annotator.similarity.document_similarity_ranker)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel"]], "aggregationmethod (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.aggregationMethod"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.aggregationMethod"]], "asretriever() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetriever"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetriever"]], "asretrieverquery (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetrieverQuery"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.asRetrieverQuery"]], "bucketlength (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.bucketLength"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.bucketLength"]], "extractnearestneighbor (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.extractNearestNeighbor"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.extractNearestNeighbor"]], "getinputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getInputCols"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getInputCols"]], "getoutputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getOutputCols"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.getOutputCols"]], "identityranking (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.identityRanking"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.identityRanking"]], "inputannotatortypes (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.inputAnnotatorTypes"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.inputAnnotatorTypes"]], "inputannotatortypes (documentsimilarityrankermodel attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.inputAnnotatorTypes"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.inputAnnotatorTypes"]], "inputcols (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.inputCols"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.inputCols"]], "name (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.name"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.name"]], "name (documentsimilarityrankermodel attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.name"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.name"]], "numhashtables (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numHashTables"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numHashTables"]], "numberofneighbours (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numberOfNeighbours"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.numberOfNeighbours"]], "outputannotatortype (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.outputAnnotatorType"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.outputAnnotatorType"]], "outputannotatortype (documentsimilarityrankermodel attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.outputAnnotatorType"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerModel.outputAnnotatorType"]], "outputcols (documentsimilarityrankerfinisher attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.outputCols"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.outputCols"]], "setaggregationmethod() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setAggregationMethod"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setAggregationMethod"]], "setbucketlength() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setBucketLength"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setBucketLength"]], "setextractnearestneighbor() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setExtractNearestNeighbor"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setExtractNearestNeighbor"]], "setidentityranking() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setIdentityRanking"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setIdentityRanking"]], "setinputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setInputCols"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setInputCols"]], "setnumhashtables() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumHashTables"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumHashTables"]], "setnumberofneighbours() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumberOfNeighbours"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setNumberOfNeighbours"]], "setoutputcols() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setOutputCols"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setOutputCols"]], "setparams() (documentsimilarityrankerfinisher method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setParams"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerFinisher.setParams"]], "setsimilaritymethod() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setSimilarityMethod"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setSimilarityMethod"]], "setvisibledistances() (documentsimilarityrankerapproach method)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setVisibleDistances"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.setVisibleDistances"]], "similaritymethod (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.similarityMethod"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.similarityMethod"]], "sparknlp.annotator.similarity.document_similarity_ranker": [[181, "module-sparknlp.annotator.similarity.document_similarity_ranker"], [441, "module-sparknlp.annotator.similarity.document_similarity_ranker"]], "visibledistances (documentsimilarityrankerapproach attribute)": [[181, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.visibleDistances"], [441, "sparknlp.annotator.similarity.document_similarity_ranker.DocumentSimilarityRankerApproach.visibleDistances"]], "sparknlp.annotator.spell_check": [[182, "module-sparknlp.annotator.spell_check"], [444, "module-sparknlp.annotator.spell_check"]], "contextspellcheckerapproach (class in sparknlp.annotator.spell_check.context_spell_checker)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach"]], "contextspellcheckermodel (class in sparknlp.annotator.spell_check.context_spell_checker)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel"]], "addregexclass() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addRegexClass"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addRegexClass"]], "addvocabclass() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addVocabClass"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.addVocabClass"]], "batchsize (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.batchSize"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.batchSize"]], "casestrategy (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.caseStrategy"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.caseStrategy"]], "casestrategy (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.caseStrategy"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.caseStrategy"]], "classcount (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.classCount"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.classCount"]], "classes (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.classes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.classes"]], "comparelowcase (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.compareLowcase"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.compareLowcase"]], "compoundcount (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.compoundCount"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.compoundCount"]], "configprotobytes (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.configProtoBytes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.configProtoBytes"]], "configprotobytes (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.configProtoBytes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.configProtoBytes"]], "correctsymbols (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.correctSymbols"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.correctSymbols"]], "epochs (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.epochs"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.epochs"]], "errorthreshold (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.errorThreshold"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.errorThreshold"]], "errorthreshold (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.errorThreshold"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.errorThreshold"]], "finalrate (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.finalRate"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.finalRate"]], "gamma (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.gamma"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.gamma"]], "getwordclasses() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.getWordClasses"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.getWordClasses"]], "graphfolder (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.graphFolder"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.graphFolder"]], "idsvocab (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.idsVocab"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.idsVocab"]], "initialrate (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.initialRate"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.initialRate"]], "inputannotatortypes (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.inputAnnotatorTypes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.inputAnnotatorTypes"]], "inputannotatortypes (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.inputAnnotatorTypes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.inputAnnotatorTypes"]], "languagemodelclasses (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.languageModelClasses"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.languageModelClasses"]], "maxcandidates (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxCandidates"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxCandidates"]], "maxcandidates (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxCandidates"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxCandidates"]], "maxsentlen (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxSentLen"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxSentLen"]], "maxwindowlen (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxWindowLen"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.maxWindowLen"]], "maxwindowlen (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxWindowLen"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.maxWindowLen"]], "mincount (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.minCount"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.minCount"]], "name (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.name"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.name"]], "name (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.name"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.name"]], "outputannotatortype (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.outputAnnotatorType"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.outputAnnotatorType"]], "outputannotatortype (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.outputAnnotatorType"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.outputAnnotatorType"]], "pretrained() (contextspellcheckermodel static method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.pretrained"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.pretrained"]], "setbatchsize() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setBatchSize"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setBatchSize"]], "setcasestrategy() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCaseStrategy"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCaseStrategy"]], "setcasestrategy() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCaseStrategy"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCaseStrategy"]], "setclasscount() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setClassCount"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setClassCount"]], "setclasses() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setClasses"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setClasses"]], "setcomparelowcase() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCompareLowcase"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCompareLowcase"]], "setcompoundcount() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCompoundCount"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setCompoundCount"]], "setconfigprotobytes() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setConfigProtoBytes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setConfigProtoBytes"]], "setconfigprotobytes() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setConfigProtoBytes"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setConfigProtoBytes"]], "setcorrectsymbols() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCorrectSymbols"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setCorrectSymbols"]], "setepochs() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setEpochs"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setEpochs"]], "seterrorthreshold() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setErrorThreshold"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setErrorThreshold"]], "seterrorthreshold() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setErrorThreshold"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setErrorThreshold"]], "setfinalrate() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setFinalRate"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setFinalRate"]], "setgamma() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setGamma"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setGamma"]], "setgraphfolder() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setGraphFolder"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setGraphFolder"]], "setidsvocab() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setIdsVocab"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setIdsVocab"]], "setinitialrate() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setInitialRate"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setInitialRate"]], "setlanguagemodelclasses() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setLanguageModelClasses"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setLanguageModelClasses"]], "setmaxcandidates() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxCandidates"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxCandidates"]], "setmaxcandidates() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxCandidates"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxCandidates"]], "setmaxsentlen() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxSentLen"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxSentLen"]], "setmaxwindowlen() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxWindowLen"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMaxWindowLen"]], "setmaxwindowlen() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxWindowLen"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setMaxWindowLen"]], "setmincount() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMinCount"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setMinCount"]], "settradeoff() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setTradeoff"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setTradeoff"]], "settradeoff() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setTradeoff"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setTradeoff"]], "setvalidationfraction() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setValidationFraction"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setValidationFraction"]], "setvocabfreq() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabFreq"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabFreq"]], "setvocabids() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabIds"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setVocabIds"]], "setweighteddistpath() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWeightedDistPath"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWeightedDistPath"]], "setweights() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWeights"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWeights"]], "setwordmaxdistance() (contextspellcheckerapproach method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWordMaxDistance"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.setWordMaxDistance"]], "setwordmaxdistance() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWordMaxDistance"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.setWordMaxDistance"]], "sparknlp.annotator.spell_check.context_spell_checker": [[183, "module-sparknlp.annotator.spell_check.context_spell_checker"], [443, "module-sparknlp.annotator.spell_check.context_spell_checker"]], "tradeoff (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.tradeoff"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.tradeoff"]], "tradeoff (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.tradeoff"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.tradeoff"]], "updateregexclass() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateRegexClass"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateRegexClass"]], "updatevocabclass() (contextspellcheckermodel method)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateVocabClass"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.updateVocabClass"]], "validationfraction (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.validationFraction"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.validationFraction"]], "vocabfreq (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabFreq"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabFreq"]], "vocabids (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabIds"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.vocabIds"]], "weighteddistpath (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.weightedDistPath"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.weightedDistPath"]], "wordmaxdistance (contextspellcheckerapproach attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.wordMaxDistance"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerApproach.wordMaxDistance"]], "wordmaxdistance (contextspellcheckermodel attribute)": [[183, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.wordMaxDistance"], [443, "sparknlp.annotator.spell_check.context_spell_checker.ContextSpellCheckerModel.wordMaxDistance"]], "norvigsweetingapproach (class in sparknlp.annotator.spell_check.norvig_sweeting)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach"]], "norvigsweetingmodel (class in sparknlp.annotator.spell_check.norvig_sweeting)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel"]], "casesensitive (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.caseSensitive"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.caseSensitive"]], "dictionary (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dictionary"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dictionary"]], "doublevariants (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.doubleVariants"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.doubleVariants"]], "dupslimit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dupsLimit"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dupsLimit"]], "frequencypriority (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.frequencyPriority"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.frequencyPriority"]], "inputannotatortypes (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.inputAnnotatorTypes"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.inputAnnotatorTypes"]], "inputannotatortypes (norvigsweetingmodel attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.inputAnnotatorTypes"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.inputAnnotatorTypes"]], "intersections (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.intersections"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.intersections"]], "name (norvigsweetingmodel attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.name"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.name"]], "outputannotatortype (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.outputAnnotatorType"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.outputAnnotatorType"]], "outputannotatortype (norvigsweetingmodel attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.outputAnnotatorType"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.outputAnnotatorType"]], "pretrained() (norvigsweetingmodel static method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.pretrained"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingModel.pretrained"]], "reductlimit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.reductLimit"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.reductLimit"]], "setcasesensitive() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setCaseSensitive"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setCaseSensitive"]], "setdictionary() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDictionary"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDictionary"]], "setdoublevariants() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDoubleVariants"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setDoubleVariants"]], "setfrequencypriority() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setFrequencyPriority"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setFrequencyPriority"]], "setshortcircuit() (norvigsweetingapproach method)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setShortCircuit"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.setShortCircuit"]], "shortcircuit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.shortCircuit"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.shortCircuit"]], "sparknlp.annotator.spell_check.norvig_sweeting": [[184, "module-sparknlp.annotator.spell_check.norvig_sweeting"], [445, "module-sparknlp.annotator.spell_check.norvig_sweeting"]], "vowelswaplimit (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.vowelSwapLimit"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.vowelSwapLimit"]], "wordsizeignore (norvigsweetingapproach attribute)": [[184, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.wordSizeIgnore"], [445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.wordSizeIgnore"]], "symmetricdeleteapproach (class in sparknlp.annotator.spell_check.symmetric_delete)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach"]], "symmetricdeletemodel (class in sparknlp.annotator.spell_check.symmetric_delete)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel"]], "corpus (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.corpus"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.corpus"]], "deletesthreshold (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.deletesThreshold"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.deletesThreshold"]], "dictionary (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dictionary"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dictionary"]], "dupslimit (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dupsLimit"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dupsLimit"]], "frequencythreshold (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.frequencyThreshold"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.frequencyThreshold"]], "inputannotatortypes (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.inputAnnotatorTypes"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.inputAnnotatorTypes"]], "inputannotatortypes (symmetricdeletemodel attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.inputAnnotatorTypes"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.inputAnnotatorTypes"]], "maxeditdistance (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.maxEditDistance"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.maxEditDistance"]], "name (symmetricdeletemodel attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.name"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.name"]], "outputannotatortype (symmetricdeleteapproach attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.outputAnnotatorType"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.outputAnnotatorType"]], "outputannotatortype (symmetricdeletemodel attribute)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.outputAnnotatorType"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.outputAnnotatorType"]], "pretrained() (symmetricdeletemodel static method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.pretrained"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteModel.pretrained"]], "setdeletesthreshold() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDeletesThreshold"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDeletesThreshold"]], "setdictionary() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDictionary"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setDictionary"]], "setfrequencythreshold() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setFrequencyThreshold"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setFrequencyThreshold"]], "setmaxeditdistance() (symmetricdeleteapproach method)": [[185, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setMaxEditDistance"], [446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.setMaxEditDistance"]], "sparknlp.annotator.spell_check.symmetric_delete": [[185, "module-sparknlp.annotator.spell_check.symmetric_delete"], [446, "module-sparknlp.annotator.spell_check.symmetric_delete"]], "stemmer (class in sparknlp.annotator.stemmer)": [[186, "sparknlp.annotator.stemmer.Stemmer"], [447, "sparknlp.annotator.stemmer.Stemmer"]], "inputannotatortypes (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.inputAnnotatorTypes"], [447, "sparknlp.annotator.stemmer.Stemmer.inputAnnotatorTypes"]], "language (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.language"], [447, "sparknlp.annotator.stemmer.Stemmer.language"]], "name (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.name"], [447, "sparknlp.annotator.stemmer.Stemmer.name"]], "outputannotatortype (stemmer attribute)": [[186, "sparknlp.annotator.stemmer.Stemmer.outputAnnotatorType"], [447, "sparknlp.annotator.stemmer.Stemmer.outputAnnotatorType"]], "sparknlp.annotator.stemmer": [[186, "module-sparknlp.annotator.stemmer"], [447, "module-sparknlp.annotator.stemmer"]], "stopwordscleaner (class in sparknlp.annotator.stop_words_cleaner)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner"]], "casesensitive (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.caseSensitive"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.caseSensitive"]], "inputannotatortypes (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.inputAnnotatorTypes"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.inputAnnotatorTypes"]], "loaddefaultstopwords() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.loadDefaultStopWords"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.loadDefaultStopWords"]], "locale (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.locale"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.locale"]], "name (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.name"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.name"]], "outputannotatortype (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.outputAnnotatorType"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.outputAnnotatorType"]], "pretrained() (stopwordscleaner static method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.pretrained"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.pretrained"]], "setcasesensitive() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setCaseSensitive"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setCaseSensitive"]], "setlocale() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setLocale"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setLocale"]], "setstopwords() (stopwordscleaner method)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setStopWords"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.setStopWords"]], "sparknlp.annotator.stop_words_cleaner": [[187, "module-sparknlp.annotator.stop_words_cleaner"], [448, "module-sparknlp.annotator.stop_words_cleaner"]], "stopwords (stopwordscleaner attribute)": [[187, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.stopWords"], [448, "sparknlp.annotator.stop_words_cleaner.StopWordsCleaner.stopWords"]], "tfnerdlgraphbuilder (class in sparknlp.annotator.tf_ner_dl_graph_builder)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder"]], "tfnerdlgraphbuildermodel (class in sparknlp.annotator.tf_ner_dl_graph_builder)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilderModel"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilderModel"]], "getgraphfile() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFile"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFile"]], "getgraphfolder() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFolder"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getGraphFolder"]], "gethiddenunitsnumber() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getHiddenUnitsNumber"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getHiddenUnitsNumber"]], "getinputcols() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getInputCols"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getInputCols"]], "getlabelcolumn() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getLabelColumn"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.getLabelColumn"]], "graphfile (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFile"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFile"]], "graphfolder (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFolder"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.graphFolder"]], "hiddenunitsnumber (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.hiddenUnitsNumber"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.hiddenUnitsNumber"]], "inputannotatortypes (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputAnnotatorTypes"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputAnnotatorTypes"]], "inputcols (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputCols"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputCols"]], "inputcolsvalidation() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputColsValidation"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.inputColsValidation"]], "labelcolumn (tfnerdlgraphbuilder attribute)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.labelColumn"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.labelColumn"]], "setgraphfile() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFile"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFile"]], "setgraphfolder() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFolder"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setGraphFolder"]], "sethiddenunitsnumber() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setHiddenUnitsNumber"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setHiddenUnitsNumber"]], "setinputcols() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setInputCols"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setInputCols"]], "setlabelcolumn() (tfnerdlgraphbuilder method)": [[188, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setLabelColumn"], [449, "sparknlp.annotator.tf_ner_dl_graph_builder.TFNerDLGraphBuilder.setLabelColumn"]], "sparknlp.annotator.tf_ner_dl_graph_builder": [[188, "module-sparknlp.annotator.tf_ner_dl_graph_builder"], [449, "module-sparknlp.annotator.tf_ner_dl_graph_builder"]], "sparknlp.annotator.token": [[189, "module-sparknlp.annotator.token"], [451, "module-sparknlp.annotator.token"]], "chunktokenizer (class in sparknlp.annotator.token.chunk_tokenizer)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer"], [450, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer"]], "chunktokenizermodel (class in sparknlp.annotator.token.chunk_tokenizer)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel"], [450, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel"]], "inputannotatortypes (chunktokenizer attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.inputAnnotatorTypes"], [450, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.inputAnnotatorTypes"]], "inputannotatortypes (chunktokenizermodel attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.inputAnnotatorTypes"], [450, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.inputAnnotatorTypes"]], "name (chunktokenizer attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.name"], [450, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizer.name"]], "name (chunktokenizermodel attribute)": [[190, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.name"], [450, "sparknlp.annotator.token.chunk_tokenizer.ChunkTokenizerModel.name"]], "sparknlp.annotator.token.chunk_tokenizer": [[190, "module-sparknlp.annotator.token.chunk_tokenizer"], [450, "module-sparknlp.annotator.token.chunk_tokenizer"]], "recursivetokenizer (class in sparknlp.annotator.token.recursive_tokenizer)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer"]], "recursivetokenizermodel (class in sparknlp.annotator.token.recursive_tokenizer)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel"]], "infixes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.infixes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.infixes"]], "inputannotatortypes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.inputAnnotatorTypes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.inputAnnotatorTypes"]], "inputannotatortypes (recursivetokenizermodel attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.inputAnnotatorTypes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.inputAnnotatorTypes"]], "name (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.name"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.name"]], "name (recursivetokenizermodel attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.name"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.name"]], "outputannotatortype (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.outputAnnotatorType"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.outputAnnotatorType"]], "outputannotatortype (recursivetokenizermodel attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.outputAnnotatorType"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizerModel.outputAnnotatorType"]], "prefixes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.prefixes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.prefixes"]], "setinfixes() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setInfixes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setInfixes"]], "setprefixes() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setPrefixes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setPrefixes"]], "setsuffixes() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setSuffixes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setSuffixes"]], "setwhitelist() (recursivetokenizer method)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setWhitelist"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.setWhitelist"]], "sparknlp.annotator.token.recursive_tokenizer": [[191, "module-sparknlp.annotator.token.recursive_tokenizer"], [452, "module-sparknlp.annotator.token.recursive_tokenizer"]], "suffixes (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.suffixes"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.suffixes"]], "whitelist (recursivetokenizer attribute)": [[191, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.whitelist"], [452, "sparknlp.annotator.token.recursive_tokenizer.RecursiveTokenizer.whitelist"]], "regextokenizer (class in sparknlp.annotator.token.regex_tokenizer)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer"]], "inputannotatortypes (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.inputAnnotatorTypes"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.inputAnnotatorTypes"]], "maxlength (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.maxLength"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.maxLength"]], "minlength (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.minLength"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.minLength"]], "name (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.name"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.name"]], "outputannotatortype (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.outputAnnotatorType"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.outputAnnotatorType"]], "pattern (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.pattern"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.pattern"]], "positionalmask (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.positionalMask"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.positionalMask"]], "preserveposition (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.preservePosition"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.preservePosition"]], "setmaxlength() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMaxLength"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMaxLength"]], "setminlength() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMinLength"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setMinLength"]], "setpattern() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPattern"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPattern"]], "setpositionalmask() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPositionalMask"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPositionalMask"]], "setpreserveposition() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPreservePosition"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setPreservePosition"]], "settolowercase() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setToLowercase"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setToLowercase"]], "settrimwhitespace() (regextokenizer method)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setTrimWhitespace"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.setTrimWhitespace"]], "sparknlp.annotator.token.regex_tokenizer": [[192, "module-sparknlp.annotator.token.regex_tokenizer"], [453, "module-sparknlp.annotator.token.regex_tokenizer"]], "tolowercase (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.toLowercase"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.toLowercase"]], "trimwhitespace (regextokenizer attribute)": [[192, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.trimWhitespace"], [453, "sparknlp.annotator.token.regex_tokenizer.RegexTokenizer.trimWhitespace"]], "tokenizer (class in sparknlp.annotator.token.tokenizer)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer"]], "tokenizermodel (class in sparknlp.annotator.token.tokenizer)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel"]], "addcontextchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addContextChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.addContextChars"]], "addexception() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addException"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.addException"]], "addinfixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addInfixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.addInfixPattern"]], "addsplitchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.addSplitChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.addSplitChars"]], "addsplitchars() (tokenizermodel method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.addSplitChars"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.addSplitChars"]], "casesensitiveexceptions (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.caseSensitiveExceptions"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.caseSensitiveExceptions"]], "casesensitiveexceptions (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.caseSensitiveExceptions"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.caseSensitiveExceptions"]], "contextchars (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.contextChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.contextChars"]], "exceptions (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptions"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptions"]], "exceptions (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.exceptions"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.exceptions"]], "exceptionspath (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptionsPath"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.exceptionsPath"]], "getcasesensitiveexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getCaseSensitiveExceptions"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getCaseSensitiveExceptions"]], "getcontextchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getContextChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getContextChars"]], "getexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getExceptions"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getExceptions"]], "getinfixpatterns() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getInfixPatterns"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getInfixPatterns"]], "getprefixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getPrefixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getPrefixPattern"]], "getsplitchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getSplitChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getSplitChars"]], "getsuffixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.getSuffixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.getSuffixPattern"]], "infixpatterns (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.infixPatterns"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.infixPatterns"]], "inputannotatortypes (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.inputAnnotatorTypes"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.inputAnnotatorTypes"]], "inputannotatortypes (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.inputAnnotatorTypes"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.inputAnnotatorTypes"]], "maxlength (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.maxLength"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.maxLength"]], "minlength (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.minLength"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.minLength"]], "name (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.name"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.name"]], "name (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.name"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.name"]], "outputannotatortype (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.outputAnnotatorType"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.outputAnnotatorType"]], "outputannotatortype (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.outputAnnotatorType"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.outputAnnotatorType"]], "prefixpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.prefixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.prefixPattern"]], "pretrained() (tokenizermodel static method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.pretrained"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.pretrained"]], "rules (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.rules"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.rules"]], "setcasesensitiveexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setCaseSensitiveExceptions"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setCaseSensitiveExceptions"]], "setcontextchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setContextChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setContextChars"]], "setexceptions() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptions"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptions"]], "setexceptionspath() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptionsPath"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setExceptionsPath"]], "setinfixpatterns() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setInfixPatterns"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setInfixPatterns"]], "setmaxlength() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setMaxLength"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setMaxLength"]], "setminlength() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setMinLength"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setMinLength"]], "setprefixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setPrefixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setPrefixPattern"]], "setsplitchars() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitChars"]], "setsplitchars() (tokenizermodel method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitChars"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitChars"]], "setsplitpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setSplitPattern"]], "setsplitpattern() (tokenizermodel method)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitPattern"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.setSplitPattern"]], "setsuffixpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setSuffixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setSuffixPattern"]], "settargetpattern() (tokenizer method)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.setTargetPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.setTargetPattern"]], "sparknlp.annotator.token.tokenizer": [[193, "module-sparknlp.annotator.token.tokenizer"], [454, "module-sparknlp.annotator.token.tokenizer"]], "splitchars (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.splitChars"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.splitChars"]], "splitchars (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitChars"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitChars"]], "splitpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.splitPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.splitPattern"]], "splitpattern (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitPattern"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.splitPattern"]], "suffixpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.suffixPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.suffixPattern"]], "targetpattern (tokenizer attribute)": [[193, "sparknlp.annotator.token.tokenizer.Tokenizer.targetPattern"], [454, "sparknlp.annotator.token.tokenizer.Tokenizer.targetPattern"]], "targetpattern (tokenizermodel attribute)": [[193, "sparknlp.annotator.token.tokenizer.TokenizerModel.targetPattern"], [454, "sparknlp.annotator.token.tokenizer.TokenizerModel.targetPattern"]], "token2chunk (class in sparknlp.annotator.token2_chunk)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk"], [455, "sparknlp.annotator.token2_chunk.Token2Chunk"]], "inputannotatortypes (token2chunk attribute)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk.inputAnnotatorTypes"], [455, "sparknlp.annotator.token2_chunk.Token2Chunk.inputAnnotatorTypes"]], "name (token2chunk attribute)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk.name"], [455, "sparknlp.annotator.token2_chunk.Token2Chunk.name"]], "outputannotatortype (token2chunk attribute)": [[194, "sparknlp.annotator.token2_chunk.Token2Chunk.outputAnnotatorType"], [455, "sparknlp.annotator.token2_chunk.Token2Chunk.outputAnnotatorType"]], "sparknlp.annotator.token2_chunk": [[194, "module-sparknlp.annotator.token2_chunk"], [455, "module-sparknlp.annotator.token2_chunk"]], "sparknlp.annotator.ws": [[195, "module-sparknlp.annotator.ws"], [456, "module-sparknlp.annotator.ws"]], "wordsegmenterapproach (class in sparknlp.annotator.ws.word_segmenter)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach"]], "wordsegmentermodel (class in sparknlp.annotator.ws.word_segmenter)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel"]], "ambiguitythreshold (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.ambiguityThreshold"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.ambiguityThreshold"]], "enableregextokenizer (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.enableRegexTokenizer"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.enableRegexTokenizer"]], "enableregextokenizer (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.enableRegexTokenizer"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.enableRegexTokenizer"]], "frequencythreshold (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.frequencyThreshold"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.frequencyThreshold"]], "getambiguitythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getAmbiguityThreshold"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getAmbiguityThreshold"]], "getfrequencythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getFrequencyThreshold"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getFrequencyThreshold"]], "getniterations() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getNIterations"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.getNIterations"]], "inputannotatortypes (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.inputAnnotatorTypes"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.inputAnnotatorTypes"]], "inputannotatortypes (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.inputAnnotatorTypes"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.inputAnnotatorTypes"]], "niterations (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.nIterations"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.nIterations"]], "name (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.name"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.name"]], "name (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.name"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.name"]], "outputannotatortype (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.outputAnnotatorType"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.outputAnnotatorType"]], "outputannotatortype (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.outputAnnotatorType"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.outputAnnotatorType"]], "pattern (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.pattern"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.pattern"]], "pattern (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pattern"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pattern"]], "poscol (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.posCol"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.posCol"]], "pretrained() (wordsegmentermodel static method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pretrained"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.pretrained"]], "setambiguitythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setAmbiguityThreshold"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setAmbiguityThreshold"]], "setenableregextokenizer() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setEnableRegexTokenizer"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setEnableRegexTokenizer"]], "setenableregextokenizer() (wordsegmentermodel method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setEnableRegexTokenizer"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setEnableRegexTokenizer"]], "setfrequencythreshold() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setFrequencyThreshold"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setFrequencyThreshold"]], "setniterations() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setNIterations"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setNIterations"]], "setpattern() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPattern"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPattern"]], "setpattern() (wordsegmentermodel method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setPattern"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setPattern"]], "setposcolumn() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPosColumn"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setPosColumn"]], "settolowercase() (wordsegmenterapproach method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setToLowercase"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.setToLowercase"]], "settolowercase() (wordsegmentermodel method)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setToLowercase"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.setToLowercase"]], "sparknlp.annotator.ws.word_segmenter": [[196, "module-sparknlp.annotator.ws.word_segmenter"], [457, "module-sparknlp.annotator.ws.word_segmenter"]], "tolowercase (wordsegmenterapproach attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.toLowercase"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterApproach.toLowercase"]], "tolowercase (wordsegmentermodel attribute)": [[196, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.toLowercase"], [457, "sparknlp.annotator.ws.word_segmenter.WordSegmenterModel.toLowercase"]], "sparknlp.base": [[197, "module-sparknlp.base"], [468, "module-sparknlp.base"]], "audioassembler (class in sparknlp.base.audio_assembler)": [[198, "sparknlp.base.audio_assembler.AudioAssembler"], [458, "sparknlp.base.audio_assembler.AudioAssembler"]], "getoutputcol() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.getOutputCol"], [458, "sparknlp.base.audio_assembler.AudioAssembler.getOutputCol"]], "inputcol (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.inputCol"], [458, "sparknlp.base.audio_assembler.AudioAssembler.inputCol"]], "name (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.name"], [458, "sparknlp.base.audio_assembler.AudioAssembler.name"]], "outputannotatortype (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.outputAnnotatorType"], [458, "sparknlp.base.audio_assembler.AudioAssembler.outputAnnotatorType"]], "outputcol (audioassembler attribute)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.outputCol"], [458, "sparknlp.base.audio_assembler.AudioAssembler.outputCol"]], "setinputcol() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.setInputCol"], [458, "sparknlp.base.audio_assembler.AudioAssembler.setInputCol"]], "setoutputcol() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.setOutputCol"], [458, "sparknlp.base.audio_assembler.AudioAssembler.setOutputCol"]], "setparams() (audioassembler method)": [[198, "sparknlp.base.audio_assembler.AudioAssembler.setParams"], [458, "sparknlp.base.audio_assembler.AudioAssembler.setParams"]], "sparknlp.base.audio_assembler": [[198, "module-sparknlp.base.audio_assembler"], [458, "module-sparknlp.base.audio_assembler"]], "doc2chunk (class in sparknlp.base.doc2_chunk)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk"]], "chunkcol (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.chunkCol"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.chunkCol"]], "failonmissing (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.failOnMissing"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.failOnMissing"]], "inputannotatortypes (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.inputAnnotatorTypes"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.inputAnnotatorTypes"]], "isarray (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.isArray"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.isArray"]], "lowercase (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.lowerCase"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.lowerCase"]], "name (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.name"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.name"]], "outputannotatortype (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.outputAnnotatorType"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.outputAnnotatorType"]], "setchunkcol() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setChunkCol"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setChunkCol"]], "setfailonmissing() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setFailOnMissing"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setFailOnMissing"]], "setisarray() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setIsArray"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setIsArray"]], "setlowercase() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setLowerCase"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setLowerCase"]], "setparams() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setParams"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setParams"]], "setstartcol() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartCol"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartCol"]], "setstartcolbytokenindex() (doc2chunk method)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartColByTokenIndex"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.setStartColByTokenIndex"]], "sparknlp.base.doc2_chunk": [[199, "module-sparknlp.base.doc2_chunk"], [459, "module-sparknlp.base.doc2_chunk"]], "startcol (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.startCol"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.startCol"]], "startcolbytokenindex (doc2chunk attribute)": [[199, "sparknlp.base.doc2_chunk.Doc2Chunk.startColByTokenIndex"], [459, "sparknlp.base.doc2_chunk.Doc2Chunk.startColByTokenIndex"]], "documentassembler (class in sparknlp.base.document_assembler)": [[200, "sparknlp.base.document_assembler.DocumentAssembler"], [460, "sparknlp.base.document_assembler.DocumentAssembler"]], "cleanupmode (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.cleanupMode"], [460, "sparknlp.base.document_assembler.DocumentAssembler.cleanupMode"]], "getoutputcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.getOutputCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.getOutputCol"]], "idcol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.idCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.idCol"]], "inputcol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.inputCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.inputCol"]], "metadatacol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.metadataCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.metadataCol"]], "name (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.name"], [460, "sparknlp.base.document_assembler.DocumentAssembler.name"]], "outputannotatortype (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.outputAnnotatorType"], [460, "sparknlp.base.document_assembler.DocumentAssembler.outputAnnotatorType"]], "outputcol (documentassembler attribute)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.outputCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.outputCol"]], "setcleanupmode() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setCleanupMode"], [460, "sparknlp.base.document_assembler.DocumentAssembler.setCleanupMode"]], "setidcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setIdCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.setIdCol"]], "setinputcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setInputCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.setInputCol"]], "setmetadatacol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setMetadataCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.setMetadataCol"]], "setoutputcol() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setOutputCol"], [460, "sparknlp.base.document_assembler.DocumentAssembler.setOutputCol"]], "setparams() (documentassembler method)": [[200, "sparknlp.base.document_assembler.DocumentAssembler.setParams"], [460, "sparknlp.base.document_assembler.DocumentAssembler.setParams"]], "sparknlp.base.document_assembler": [[200, "module-sparknlp.base.document_assembler"], [460, "module-sparknlp.base.document_assembler"]], "embeddingsfinisher (class in sparknlp.base.embeddings_finisher)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher"]], "cleanannotations (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.cleanAnnotations"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.cleanAnnotations"]], "getinputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getInputCols"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getInputCols"]], "getoutputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getOutputCols"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.getOutputCols"]], "inputcols (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.inputCols"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.inputCols"]], "name (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.name"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.name"]], "outputasvector (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputAsVector"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputAsVector"]], "outputcols (embeddingsfinisher attribute)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputCols"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.outputCols"]], "setcleanannotations() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setCleanAnnotations"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setCleanAnnotations"]], "setinputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setInputCols"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setInputCols"]], "setoutputasvector() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputAsVector"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputAsVector"]], "setoutputcols() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputCols"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setOutputCols"]], "setparams() (embeddingsfinisher method)": [[201, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setParams"], [461, "sparknlp.base.embeddings_finisher.EmbeddingsFinisher.setParams"]], "sparknlp.base.embeddings_finisher": [[201, "module-sparknlp.base.embeddings_finisher"], [461, "module-sparknlp.base.embeddings_finisher"]], "finisher (class in sparknlp.base.finisher)": [[202, "sparknlp.base.finisher.Finisher"], [462, "sparknlp.base.finisher.Finisher"]], "annotationsplitsymbol (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.annotationSplitSymbol"], [462, "sparknlp.base.finisher.Finisher.annotationSplitSymbol"]], "cleanannotations (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.cleanAnnotations"], [462, "sparknlp.base.finisher.Finisher.cleanAnnotations"]], "getinputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.getInputCols"], [462, "sparknlp.base.finisher.Finisher.getInputCols"]], "getoutputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.getOutputCols"], [462, "sparknlp.base.finisher.Finisher.getOutputCols"]], "includemetadata (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.includeMetadata"], [462, "sparknlp.base.finisher.Finisher.includeMetadata"]], "inputcols (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.inputCols"], [462, "sparknlp.base.finisher.Finisher.inputCols"]], "name (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.name"], [462, "sparknlp.base.finisher.Finisher.name"]], "outputasarray (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.outputAsArray"], [462, "sparknlp.base.finisher.Finisher.outputAsArray"]], "outputcols (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.outputCols"], [462, "sparknlp.base.finisher.Finisher.outputCols"]], "parseembeddingsvectors (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.parseEmbeddingsVectors"], [462, "sparknlp.base.finisher.Finisher.parseEmbeddingsVectors"]], "setannotationsplitsymbol() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setAnnotationSplitSymbol"], [462, "sparknlp.base.finisher.Finisher.setAnnotationSplitSymbol"]], "setcleanannotations() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setCleanAnnotations"], [462, "sparknlp.base.finisher.Finisher.setCleanAnnotations"]], "setincludemetadata() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setIncludeMetadata"], [462, "sparknlp.base.finisher.Finisher.setIncludeMetadata"]], "setinputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setInputCols"], [462, "sparknlp.base.finisher.Finisher.setInputCols"]], "setoutputasarray() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setOutputAsArray"], [462, "sparknlp.base.finisher.Finisher.setOutputAsArray"]], "setoutputcols() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setOutputCols"], [462, "sparknlp.base.finisher.Finisher.setOutputCols"]], "setparams() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setParams"], [462, "sparknlp.base.finisher.Finisher.setParams"]], "setparseembeddingsvectors() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setParseEmbeddingsVectors"], [462, "sparknlp.base.finisher.Finisher.setParseEmbeddingsVectors"]], "setvaluesplitsymbol() (finisher method)": [[202, "sparknlp.base.finisher.Finisher.setValueSplitSymbol"], [462, "sparknlp.base.finisher.Finisher.setValueSplitSymbol"]], "sparknlp.base.finisher": [[202, "module-sparknlp.base.finisher"], [462, "module-sparknlp.base.finisher"]], "valuesplitsymbol (finisher attribute)": [[202, "sparknlp.base.finisher.Finisher.valueSplitSymbol"], [462, "sparknlp.base.finisher.Finisher.valueSplitSymbol"]], "ggufrankingfinisher (class in sparknlp.base.gguf_ranking_finisher)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher"]], "getinputcols() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getInputCols"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getInputCols"]], "getminmaxscaling() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinMaxScaling"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinMaxScaling"]], "getminrelevancescore() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinRelevanceScore"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getMinRelevanceScore"]], "getoutputcol() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getOutputCol"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getOutputCol"]], "gettopk() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getTopK"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.getTopK"]], "inputcols (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.inputCols"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.inputCols"]], "minmaxscaling (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minMaxScaling"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minMaxScaling"]], "minrelevancescore (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minRelevanceScore"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.minRelevanceScore"]], "name (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.name"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.name"]], "outputcol (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.outputCol"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.outputCol"]], "setinputcols() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setInputCols"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setInputCols"]], "setminmaxscaling() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinMaxScaling"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinMaxScaling"]], "setminrelevancescore() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinRelevanceScore"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setMinRelevanceScore"]], "setoutputcol() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setOutputCol"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setOutputCol"]], "setparams() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setParams"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setParams"]], "settopk() (ggufrankingfinisher method)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setTopK"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.setTopK"]], "sparknlp.base.gguf_ranking_finisher": [[203, "module-sparknlp.base.gguf_ranking_finisher"], [463, "module-sparknlp.base.gguf_ranking_finisher"]], "topk (ggufrankingfinisher attribute)": [[203, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.topK"], [463, "sparknlp.base.gguf_ranking_finisher.GGUFRankingFinisher.topK"]], "graphfinisher (class in sparknlp.base.graph_finisher)": [[204, "sparknlp.base.graph_finisher.GraphFinisher"], [464, "sparknlp.base.graph_finisher.GraphFinisher"]], "cleanannotations (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.cleanAnnotations"], [464, "sparknlp.base.graph_finisher.GraphFinisher.cleanAnnotations"]], "inputcol (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.inputCol"], [464, "sparknlp.base.graph_finisher.GraphFinisher.inputCol"]], "name (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.name"], [464, "sparknlp.base.graph_finisher.GraphFinisher.name"]], "outputasarray (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.outputAsArray"], [464, "sparknlp.base.graph_finisher.GraphFinisher.outputAsArray"]], "outputcol (graphfinisher attribute)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.outputCol"], [464, "sparknlp.base.graph_finisher.GraphFinisher.outputCol"]], "setcleanannotations() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setCleanAnnotations"], [464, "sparknlp.base.graph_finisher.GraphFinisher.setCleanAnnotations"]], "setinputcol() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setInputCol"], [464, "sparknlp.base.graph_finisher.GraphFinisher.setInputCol"]], "setoutputasarray() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setOutputAsArray"], [464, "sparknlp.base.graph_finisher.GraphFinisher.setOutputAsArray"]], "setoutputcol() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setOutputCol"], [464, "sparknlp.base.graph_finisher.GraphFinisher.setOutputCol"]], "setparams() (graphfinisher method)": [[204, "sparknlp.base.graph_finisher.GraphFinisher.setParams"], [464, "sparknlp.base.graph_finisher.GraphFinisher.setParams"]], "sparknlp.base.graph_finisher": [[204, "module-sparknlp.base.graph_finisher"], [464, "module-sparknlp.base.graph_finisher"]], "hasrecursivefit (class in sparknlp.base.has_recursive_fit)": [[205, "sparknlp.base.has_recursive_fit.HasRecursiveFit"], [465, "sparknlp.base.has_recursive_fit.HasRecursiveFit"]], "sparknlp.base.has_recursive_fit": [[205, "module-sparknlp.base.has_recursive_fit"], [465, "module-sparknlp.base.has_recursive_fit"]], "hasrecursivetransform (class in sparknlp.base.has_recursive_transform)": [[206, "sparknlp.base.has_recursive_transform.HasRecursiveTransform"], [466, "sparknlp.base.has_recursive_transform.HasRecursiveTransform"]], "sparknlp.base.has_recursive_transform": [[206, "module-sparknlp.base.has_recursive_transform"], [466, "module-sparknlp.base.has_recursive_transform"]], "imageassembler (class in sparknlp.base.image_assembler)": [[207, "sparknlp.base.image_assembler.ImageAssembler"], [467, "sparknlp.base.image_assembler.ImageAssembler"]], "getoutputcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.getOutputCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.getOutputCol"]], "inputcol (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.inputCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.inputCol"]], "loadimagesasbytes() (imageassembler class method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.loadImagesAsBytes"], [467, "sparknlp.base.image_assembler.ImageAssembler.loadImagesAsBytes"]], "name (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.name"], [467, "sparknlp.base.image_assembler.ImageAssembler.name"]], "outputannotatortype (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.outputAnnotatorType"], [467, "sparknlp.base.image_assembler.ImageAssembler.outputAnnotatorType"]], "outputcol (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.outputCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.outputCol"]], "setinputcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setInputCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.setInputCol"]], "setoutputcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setOutputCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.setOutputCol"]], "setparams() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setParams"], [467, "sparknlp.base.image_assembler.ImageAssembler.setParams"]], "settextcol() (imageassembler method)": [[207, "sparknlp.base.image_assembler.ImageAssembler.setTextCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.setTextCol"]], "sparknlp.base.image_assembler": [[207, "module-sparknlp.base.image_assembler"], [467, "module-sparknlp.base.image_assembler"]], "textcol (imageassembler attribute)": [[207, "sparknlp.base.image_assembler.ImageAssembler.textCol"], [467, "sparknlp.base.image_assembler.ImageAssembler.textCol"]], "lightpipeline (class in sparknlp.base.light_pipeline)": [[208, "sparknlp.base.light_pipeline.LightPipeline"], [469, "sparknlp.base.light_pipeline.LightPipeline"]], "annotate() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.annotate"], [469, "sparknlp.base.light_pipeline.LightPipeline.annotate"]], "fullannotate() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotate"], [469, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotate"]], "fullannotateimage() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotateImage"], [469, "sparknlp.base.light_pipeline.LightPipeline.fullAnnotateImage"]], "getignoreunsupported() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.getIgnoreUnsupported"], [469, "sparknlp.base.light_pipeline.LightPipeline.getIgnoreUnsupported"]], "setignoreunsupported() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.setIgnoreUnsupported"], [469, "sparknlp.base.light_pipeline.LightPipeline.setIgnoreUnsupported"]], "sparknlp.base.light_pipeline": [[208, "module-sparknlp.base.light_pipeline"], [469, "module-sparknlp.base.light_pipeline"]], "transform() (lightpipeline method)": [[208, "sparknlp.base.light_pipeline.LightPipeline.transform"], [469, "sparknlp.base.light_pipeline.LightPipeline.transform"]], "multidocumentassembler (class in sparknlp.base.multi_document_assembler)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler"]], "cleanupmode (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.cleanupMode"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.cleanupMode"]], "getoutputcols() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.getOutputCols"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.getOutputCols"]], "idcol (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.idCol"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.idCol"]], "inputcols (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.inputCols"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.inputCols"]], "metadatacol (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.metadataCol"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.metadataCol"]], "name (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.name"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.name"]], "outputannotatortype (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputAnnotatorType"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputAnnotatorType"]], "outputcols (multidocumentassembler attribute)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputCols"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.outputCols"]], "setcleanupmode() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setCleanupMode"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setCleanupMode"]], "setidcol() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setIdCol"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setIdCol"]], "setinputcols() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setInputCols"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setInputCols"]], "setmetadatacol() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setMetadataCol"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setMetadataCol"]], "setoutputcols() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setOutputCols"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setOutputCols"]], "setparams() (multidocumentassembler method)": [[209, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setParams"], [470, "sparknlp.base.multi_document_assembler.MultiDocumentAssembler.setParams"]], "sparknlp.base.multi_document_assembler": [[209, "module-sparknlp.base.multi_document_assembler"], [470, "module-sparknlp.base.multi_document_assembler"]], "promptassembler (class in sparknlp.base.prompt_assembler)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler"], [471, "sparknlp.base.prompt_assembler.PromptAssembler"]], "addassistant (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.addAssistant"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.addAssistant"]], "chattemplate (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.chatTemplate"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.chatTemplate"]], "inputcol (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.inputCol"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.inputCol"]], "name (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.name"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.name"]], "outputannotatortype (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.outputAnnotatorType"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.outputAnnotatorType"]], "outputcol (promptassembler attribute)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.outputCol"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.outputCol"]], "setaddassistant() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setAddAssistant"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.setAddAssistant"]], "setchattemplate() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setChatTemplate"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.setChatTemplate"]], "setinputcol() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setInputCol"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.setInputCol"]], "setoutputcol() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setOutputCol"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.setOutputCol"]], "setparams() (promptassembler method)": [[210, "sparknlp.base.prompt_assembler.PromptAssembler.setParams"], [471, "sparknlp.base.prompt_assembler.PromptAssembler.setParams"]], "sparknlp.base.prompt_assembler": [[210, "module-sparknlp.base.prompt_assembler"], [471, "module-sparknlp.base.prompt_assembler"]], "recursivepipeline (class in sparknlp.base.recursive_pipeline)": [[211, "sparknlp.base.recursive_pipeline.RecursivePipeline"], [472, "sparknlp.base.recursive_pipeline.RecursivePipeline"]], "recursivepipelinemodel (class in sparknlp.base.recursive_pipeline)": [[211, "sparknlp.base.recursive_pipeline.RecursivePipelineModel"], [472, "sparknlp.base.recursive_pipeline.RecursivePipelineModel"]], "sparknlp.base.recursive_pipeline": [[211, "module-sparknlp.base.recursive_pipeline"], [472, "module-sparknlp.base.recursive_pipeline"]], "tableassembler (class in sparknlp.base.table_assembler)": [[212, "sparknlp.base.table_assembler.TableAssembler"], [473, "sparknlp.base.table_assembler.TableAssembler"]], "csvdelimiter (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.csvDelimiter"], [473, "sparknlp.base.table_assembler.TableAssembler.csvDelimiter"]], "escapecsvdelimiter (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.escapeCsvDelimiter"], [473, "sparknlp.base.table_assembler.TableAssembler.escapeCsvDelimiter"]], "inputannotatortypes (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.inputAnnotatorTypes"], [473, "sparknlp.base.table_assembler.TableAssembler.inputAnnotatorTypes"]], "inputformat (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.inputFormat"], [473, "sparknlp.base.table_assembler.TableAssembler.inputFormat"]], "name (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.name"], [473, "sparknlp.base.table_assembler.TableAssembler.name"]], "outputannotatortype (tableassembler attribute)": [[212, "sparknlp.base.table_assembler.TableAssembler.outputAnnotatorType"], [473, "sparknlp.base.table_assembler.TableAssembler.outputAnnotatorType"]], "setcsvdelimiter() (tableassembler method)": [[212, "sparknlp.base.table_assembler.TableAssembler.setCsvDelimiter"], [473, "sparknlp.base.table_assembler.TableAssembler.setCsvDelimiter"]], "setescapecsvdelimiter() (tableassembler method)": [[212, "sparknlp.base.table_assembler.TableAssembler.setEscapeCsvDelimiter"], [473, "sparknlp.base.table_assembler.TableAssembler.setEscapeCsvDelimiter"]], "setinputformat() (tableassembler method)": [[212, "sparknlp.base.table_assembler.TableAssembler.setInputFormat"], [473, "sparknlp.base.table_assembler.TableAssembler.setInputFormat"]], "sparknlp.base.table_assembler": [[212, "module-sparknlp.base.table_assembler"], [473, "module-sparknlp.base.table_assembler"]], "tokenassembler (class in sparknlp.base.token_assembler)": [[213, "sparknlp.base.token_assembler.TokenAssembler"], [474, "sparknlp.base.token_assembler.TokenAssembler"]], "inputannotatortypes (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.inputAnnotatorTypes"], [474, "sparknlp.base.token_assembler.TokenAssembler.inputAnnotatorTypes"]], "name (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.name"], [474, "sparknlp.base.token_assembler.TokenAssembler.name"]], "outputannotatortype (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.outputAnnotatorType"], [474, "sparknlp.base.token_assembler.TokenAssembler.outputAnnotatorType"]], "preserveposition (tokenassembler attribute)": [[213, "sparknlp.base.token_assembler.TokenAssembler.preservePosition"], [474, "sparknlp.base.token_assembler.TokenAssembler.preservePosition"]], "setparams() (tokenassembler method)": [[213, "sparknlp.base.token_assembler.TokenAssembler.setParams"], [474, "sparknlp.base.token_assembler.TokenAssembler.setParams"]], "setpreserveposition() (tokenassembler method)": [[213, "sparknlp.base.token_assembler.TokenAssembler.setPreservePosition"], [474, "sparknlp.base.token_assembler.TokenAssembler.setPreservePosition"]], "sparknlp.base.token_assembler": [[213, "module-sparknlp.base.token_assembler"], [474, "module-sparknlp.base.token_assembler"]], "sparknlp.common": [[214, "module-sparknlp.common"], [481, "module-sparknlp.common"]], "annotatorapproach (class in sparknlp.common.annotator_approach)": [[215, "sparknlp.common.annotator_approach.AnnotatorApproach"], [475, "sparknlp.common.annotator_approach.AnnotatorApproach"]], "sparknlp.common.annotator_approach": [[215, "module-sparknlp.common.annotator_approach"], [475, "module-sparknlp.common.annotator_approach"]], "annotatormodel (class in sparknlp.common.annotator_model)": [[216, "sparknlp.common.annotator_model.AnnotatorModel"], [476, "sparknlp.common.annotator_model.AnnotatorModel"]], "setparams() (annotatormodel method)": [[216, "sparknlp.common.annotator_model.AnnotatorModel.setParams"], [476, "sparknlp.common.annotator_model.AnnotatorModel.setParams"]], "sparknlp.common.annotator_model": [[216, "module-sparknlp.common.annotator_model"], [476, "module-sparknlp.common.annotator_model"]], "annotatorproperties (class in sparknlp.common.annotator_properties)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties"]], "getinputcols() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.getInputCols"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.getInputCols"]], "getlazyannotator() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.getLazyAnnotator"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.getLazyAnnotator"]], "getoutputcol() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.getOutputCol"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.getOutputCol"]], "inputannotatortypes (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.inputAnnotatorTypes"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.inputAnnotatorTypes"]], "inputcols (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.inputCols"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.inputCols"]], "inputcolsvalidation() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.inputColsValidation"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.inputColsValidation"]], "lazyannotator (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.lazyAnnotator"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.lazyAnnotator"]], "optionalinputannotatortypes (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.optionalInputAnnotatorTypes"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.optionalInputAnnotatorTypes"]], "outputannotatortype (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.outputAnnotatorType"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.outputAnnotatorType"]], "outputcol (annotatorproperties attribute)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.outputCol"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.outputCol"]], "setinputcols() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.setInputCols"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.setInputCols"]], "setlazyannotator() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.setLazyAnnotator"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.setLazyAnnotator"]], "setoutputcol() (annotatorproperties method)": [[217, "sparknlp.common.annotator_properties.AnnotatorProperties.setOutputCol"], [477, "sparknlp.common.annotator_properties.AnnotatorProperties.setOutputCol"]], "sparknlp.common.annotator_properties": [[217, "module-sparknlp.common.annotator_properties"], [477, "module-sparknlp.common.annotator_properties"]], "audio (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.AUDIO"], [478, "sparknlp.common.annotator_type.AnnotatorType.AUDIO"]], "annotatortype (class in sparknlp.common.annotator_type)": [[218, "sparknlp.common.annotator_type.AnnotatorType"], [478, "sparknlp.common.annotator_type.AnnotatorType"]], "category (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.CATEGORY"], [478, "sparknlp.common.annotator_type.AnnotatorType.CATEGORY"]], "chunk (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.CHUNK"], [478, "sparknlp.common.annotator_type.AnnotatorType.CHUNK"]], "date (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DATE"], [478, "sparknlp.common.annotator_type.AnnotatorType.DATE"]], "dependency (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DEPENDENCY"], [478, "sparknlp.common.annotator_type.AnnotatorType.DEPENDENCY"]], "document (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DOCUMENT"], [478, "sparknlp.common.annotator_type.AnnotatorType.DOCUMENT"]], "doc_similarity_rankings (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DOC_SIMILARITY_RANKINGS"], [478, "sparknlp.common.annotator_type.AnnotatorType.DOC_SIMILARITY_RANKINGS"]], "dummy (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.DUMMY"], [478, "sparknlp.common.annotator_type.AnnotatorType.DUMMY"]], "entity (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.ENTITY"], [478, "sparknlp.common.annotator_type.AnnotatorType.ENTITY"]], "image (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.IMAGE"], [478, "sparknlp.common.annotator_type.AnnotatorType.IMAGE"]], "labeled_dependency (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.LABELED_DEPENDENCY"], [478, "sparknlp.common.annotator_type.AnnotatorType.LABELED_DEPENDENCY"]], "language (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.LANGUAGE"], [478, "sparknlp.common.annotator_type.AnnotatorType.LANGUAGE"]], "named_entity (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.NAMED_ENTITY"], [478, "sparknlp.common.annotator_type.AnnotatorType.NAMED_ENTITY"]], "negex (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.NEGEX"], [478, "sparknlp.common.annotator_type.AnnotatorType.NEGEX"]], "node (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.NODE"], [478, "sparknlp.common.annotator_type.AnnotatorType.NODE"]], "pos (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.POS"], [478, "sparknlp.common.annotator_type.AnnotatorType.POS"]], "sentence_embeddings (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.SENTENCE_EMBEDDINGS"], [478, "sparknlp.common.annotator_type.AnnotatorType.SENTENCE_EMBEDDINGS"]], "sentiment (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.SENTIMENT"], [478, "sparknlp.common.annotator_type.AnnotatorType.SENTIMENT"]], "table (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.TABLE"], [478, "sparknlp.common.annotator_type.AnnotatorType.TABLE"]], "token (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.TOKEN"], [478, "sparknlp.common.annotator_type.AnnotatorType.TOKEN"]], "wordpiece (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.WORDPIECE"], [478, "sparknlp.common.annotator_type.AnnotatorType.WORDPIECE"]], "word_embeddings (annotatortype attribute)": [[218, "sparknlp.common.annotator_type.AnnotatorType.WORD_EMBEDDINGS"], [478, "sparknlp.common.annotator_type.AnnotatorType.WORD_EMBEDDINGS"]], "sparknlp.common.annotator_type": [[218, "module-sparknlp.common.annotator_type"], [478, "module-sparknlp.common.annotator_type"]], "completionpostprocessing (class in sparknlp.common.completion_post_processing)": [[219, "sparknlp.common.completion_post_processing.CompletionPostProcessing"], [479, "sparknlp.common.completion_post_processing.CompletionPostProcessing"]], "getremovethinkingtag() (completionpostprocessing method)": [[219, "sparknlp.common.completion_post_processing.CompletionPostProcessing.getRemoveThinkingTag"], [479, "sparknlp.common.completion_post_processing.CompletionPostProcessing.getRemoveThinkingTag"]], "removethinkingtag (completionpostprocessing attribute)": [[219, "sparknlp.common.completion_post_processing.CompletionPostProcessing.removeThinkingTag"], [479, "sparknlp.common.completion_post_processing.CompletionPostProcessing.removeThinkingTag"]], "setremovethinkingtag() (completionpostprocessing method)": [[219, "sparknlp.common.completion_post_processing.CompletionPostProcessing.setRemoveThinkingTag"], [479, "sparknlp.common.completion_post_processing.CompletionPostProcessing.setRemoveThinkingTag"]], "sparknlp.common.completion_post_processing": [[219, "module-sparknlp.common.completion_post_processing"], [479, "module-sparknlp.common.completion_post_processing"]], "coverageresult (class in sparknlp.common.coverage_result)": [[220, "sparknlp.common.coverage_result.CoverageResult"], [480, "sparknlp.common.coverage_result.CoverageResult"]], "sparknlp.common.coverage_result": [[220, "module-sparknlp.common.coverage_result"], [480, "module-sparknlp.common.coverage_result"]], "match_all (matchstrategy attribute)": [[221, "sparknlp.common.match_strategy.MatchStrategy.MATCH_ALL"], [482, "sparknlp.common.match_strategy.MatchStrategy.MATCH_ALL"]], "match_complete (matchstrategy attribute)": [[221, "sparknlp.common.match_strategy.MatchStrategy.MATCH_COMPLETE"], [482, "sparknlp.common.match_strategy.MatchStrategy.MATCH_COMPLETE"]], "match_first (matchstrategy attribute)": [[221, "sparknlp.common.match_strategy.MatchStrategy.MATCH_FIRST"], [482, "sparknlp.common.match_strategy.MatchStrategy.MATCH_FIRST"]], "matchstrategy (class in sparknlp.common.match_strategy)": [[221, "sparknlp.common.match_strategy.MatchStrategy"], [482, "sparknlp.common.match_strategy.MatchStrategy"]], "sparknlp.common.match_strategy": [[221, "module-sparknlp.common.match_strategy"], [482, "module-sparknlp.common.match_strategy"]], "hasaudiofeatureproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties"], [483, "sparknlp.common.properties.HasAudioFeatureProperties"]], "hasbatchedannotate (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasBatchedAnnotate"], [483, "sparknlp.common.properties.HasBatchedAnnotate"]], "hasbatchedannotateaudio (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasBatchedAnnotateAudio"], [483, "sparknlp.common.properties.HasBatchedAnnotateAudio"]], "hasbatchedannotateimage (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasBatchedAnnotateImage"], [483, "sparknlp.common.properties.HasBatchedAnnotateImage"]], "hascandidatelabelsproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties"]], "hascasesensitiveproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasCaseSensitiveProperties"], [483, "sparknlp.common.properties.HasCaseSensitiveProperties"]], "hasclassifieractivationproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties"], [483, "sparknlp.common.properties.HasClassifierActivationProperties"]], "hasclstokenproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasClsTokenProperties"], [483, "sparknlp.common.properties.HasClsTokenProperties"]], "hasembeddingsproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasEmbeddingsProperties"], [483, "sparknlp.common.properties.HasEmbeddingsProperties"]], "hasenablecachingproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasEnableCachingProperties"], [483, "sparknlp.common.properties.HasEnableCachingProperties"]], "hasengine (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasEngine"], [483, "sparknlp.common.properties.HasEngine"]], "hasgeneratorproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasGeneratorProperties"], [483, "sparknlp.common.properties.HasGeneratorProperties"]], "hasimagefeatureproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasImageFeatureProperties"], [483, "sparknlp.common.properties.HasImageFeatureProperties"]], "hasllamacppproperties (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasLlamaCppProperties"], [483, "sparknlp.common.properties.HasLlamaCppProperties"]], "haslongmaxsentencelengthlimit (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit"], [483, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit"]], "hasmaxsentencelengthlimit (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasMaxSentenceLengthLimit"], [483, "sparknlp.common.properties.HasMaxSentenceLengthLimit"]], "hasrescalefactor (class in sparknlp.common.properties)": [[222, "sparknlp.common.properties.HasRescaleFactor"], [483, "sparknlp.common.properties.HasRescaleFactor"]], "activation (hasclassifieractivationproperties attribute)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.activation"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.activation"]], "batchsize (hasbatchedannotate attribute)": [[222, "sparknlp.common.properties.HasBatchedAnnotate.batchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotate.batchSize"]], "batchsize (hasbatchedannotateaudio attribute)": [[222, "sparknlp.common.properties.HasBatchedAnnotateAudio.batchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotateAudio.batchSize"]], "batchsize (hasbatchedannotateimage attribute)": [[222, "sparknlp.common.properties.HasBatchedAnnotateImage.batchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotateImage.batchSize"]], "beamsize (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.beamSize"], [483, "sparknlp.common.properties.HasGeneratorProperties.beamSize"]], "cacheprompt (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.cachePrompt"], [483, "sparknlp.common.properties.HasLlamaCppProperties.cachePrompt"]], "candidatelabels (hascandidatelabelsproperties attribute)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties.candidateLabels"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties.candidateLabels"]], "casesensitive (hascasesensitiveproperties attribute)": [[222, "sparknlp.common.properties.HasCaseSensitiveProperties.caseSensitive"], [483, "sparknlp.common.properties.HasCaseSensitiveProperties.caseSensitive"]], "chattemplate (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.chatTemplate"], [483, "sparknlp.common.properties.HasLlamaCppProperties.chatTemplate"]], "contradictionidparam (hascandidatelabelsproperties attribute)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties.contradictionIdParam"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties.contradictionIdParam"]], "defragmentationthreshold (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.defragmentationThreshold"], [483, "sparknlp.common.properties.HasLlamaCppProperties.defragmentationThreshold"]], "dimension (hasembeddingsproperties attribute)": [[222, "sparknlp.common.properties.HasEmbeddingsProperties.dimension"], [483, "sparknlp.common.properties.HasEmbeddingsProperties.dimension"]], "disablelog (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.disableLog"], [483, "sparknlp.common.properties.HasLlamaCppProperties.disableLog"]], "disabletokenids (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.disableTokenIds"], [483, "sparknlp.common.properties.HasLlamaCppProperties.disableTokenIds"]], "donormalize (hasaudiofeatureproperties attribute)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.doNormalize"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.doNormalize"]], "donormalize (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.doNormalize"], [483, "sparknlp.common.properties.HasImageFeatureProperties.doNormalize"]], "dorescale (hasrescalefactor attribute)": [[222, "sparknlp.common.properties.HasRescaleFactor.doRescale"], [483, "sparknlp.common.properties.HasRescaleFactor.doRescale"]], "doresize (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.doResize"], [483, "sparknlp.common.properties.HasImageFeatureProperties.doResize"]], "dosample (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.doSample"], [483, "sparknlp.common.properties.HasGeneratorProperties.doSample"]], "dynamictemperatureexponent (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureExponent"], [483, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureExponent"]], "dynamictemperaturerange (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureRange"], [483, "sparknlp.common.properties.HasLlamaCppProperties.dynamicTemperatureRange"]], "embedding (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.embedding"], [483, "sparknlp.common.properties.HasLlamaCppProperties.embedding"]], "enablecaching (hasenablecachingproperties attribute)": [[222, "sparknlp.common.properties.HasEnableCachingProperties.enableCaching"], [483, "sparknlp.common.properties.HasEnableCachingProperties.enableCaching"]], "engine (hasengine attribute)": [[222, "sparknlp.common.properties.HasEngine.engine"], [483, "sparknlp.common.properties.HasEngine.engine"]], "entailmentidparam (hascandidatelabelsproperties attribute)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties.entailmentIdParam"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties.entailmentIdParam"]], "featureextractortype (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.featureExtractorType"], [483, "sparknlp.common.properties.HasImageFeatureProperties.featureExtractorType"]], "featuresize (hasaudiofeatureproperties attribute)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.featureSize"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.featureSize"]], "flashattention (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.flashAttention"], [483, "sparknlp.common.properties.HasLlamaCppProperties.flashAttention"]], "frequencypenalty (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.frequencyPenalty"], [483, "sparknlp.common.properties.HasLlamaCppProperties.frequencyPenalty"]], "getactivation() (hasclassifieractivationproperties method)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.getActivation"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.getActivation"]], "getbatchsize() (hasbatchedannotate method)": [[222, "sparknlp.common.properties.HasBatchedAnnotate.getBatchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotate.getBatchSize"]], "getbatchsize() (hasbatchedannotateaudio method)": [[222, "sparknlp.common.properties.HasBatchedAnnotateAudio.getBatchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotateAudio.getBatchSize"]], "getbatchsize() (hasbatchedannotateimage method)": [[222, "sparknlp.common.properties.HasBatchedAnnotateImage.getBatchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotateImage.getBatchSize"]], "getcasesensitive() (hascasesensitiveproperties method)": [[222, "sparknlp.common.properties.HasCaseSensitiveProperties.getCaseSensitive"], [483, "sparknlp.common.properties.HasCaseSensitiveProperties.getCaseSensitive"]], "getdimension() (hasembeddingsproperties method)": [[222, "sparknlp.common.properties.HasEmbeddingsProperties.getDimension"], [483, "sparknlp.common.properties.HasEmbeddingsProperties.getDimension"]], "getenablecaching() (hasenablecachingproperties method)": [[222, "sparknlp.common.properties.HasEnableCachingProperties.getEnableCaching"], [483, "sparknlp.common.properties.HasEnableCachingProperties.getEnableCaching"]], "getengine() (hasengine method)": [[222, "sparknlp.common.properties.HasEngine.getEngine"], [483, "sparknlp.common.properties.HasEngine.getEngine"]], "getmaxsentencelength() (hasmaxsentencelengthlimit method)": [[222, "sparknlp.common.properties.HasMaxSentenceLengthLimit.getMaxSentenceLength"], [483, "sparknlp.common.properties.HasMaxSentenceLengthLimit.getMaxSentenceLength"]], "getmetadata() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.getMetadata"], [483, "sparknlp.common.properties.HasLlamaCppProperties.getMetadata"]], "getmultilabel() (hasclassifieractivationproperties method)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.getMultilabel"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.getMultilabel"]], "getuseclstoken() (hasclstokenproperties method)": [[222, "sparknlp.common.properties.HasClsTokenProperties.getUseCLSToken"], [483, "sparknlp.common.properties.HasClsTokenProperties.getUseCLSToken"]], "gpusplitmode (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.gpuSplitMode"], [483, "sparknlp.common.properties.HasLlamaCppProperties.gpuSplitMode"]], "grammar (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.grammar"], [483, "sparknlp.common.properties.HasLlamaCppProperties.grammar"]], "ignoreeos (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.ignoreEos"], [483, "sparknlp.common.properties.HasLlamaCppProperties.ignoreEos"]], "imagemean (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.imageMean"], [483, "sparknlp.common.properties.HasImageFeatureProperties.imageMean"]], "imagestd (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.imageStd"], [483, "sparknlp.common.properties.HasImageFeatureProperties.imageStd"]], "inputprefix (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.inputPrefix"], [483, "sparknlp.common.properties.HasLlamaCppProperties.inputPrefix"]], "inputsuffix (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.inputSuffix"], [483, "sparknlp.common.properties.HasLlamaCppProperties.inputSuffix"]], "logverbosity (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.logVerbosity"], [483, "sparknlp.common.properties.HasLlamaCppProperties.logVerbosity"]], "maingpu (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.mainGpu"], [483, "sparknlp.common.properties.HasLlamaCppProperties.mainGpu"]], "maxoutputlength (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.maxOutputLength"], [483, "sparknlp.common.properties.HasGeneratorProperties.maxOutputLength"]], "maxsentencelength (hasmaxsentencelengthlimit attribute)": [[222, "sparknlp.common.properties.HasMaxSentenceLengthLimit.maxSentenceLength"], [483, "sparknlp.common.properties.HasMaxSentenceLengthLimit.maxSentenceLength"]], "max_length_limit (haslongmaxsentencelengthlimit attribute)": [[222, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit.max_length_limit"], [483, "sparknlp.common.properties.HasLongMaxSentenceLengthLimit.max_length_limit"]], "max_length_limit (hasmaxsentencelengthlimit attribute)": [[222, "sparknlp.common.properties.HasMaxSentenceLengthLimit.max_length_limit"], [483, "sparknlp.common.properties.HasMaxSentenceLengthLimit.max_length_limit"]], "minkeep (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.minKeep"], [483, "sparknlp.common.properties.HasLlamaCppProperties.minKeep"]], "minoutputlength (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.minOutputLength"], [483, "sparknlp.common.properties.HasGeneratorProperties.minOutputLength"]], "minp (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.minP"], [483, "sparknlp.common.properties.HasLlamaCppProperties.minP"]], "mirostat (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.miroStat"], [483, "sparknlp.common.properties.HasLlamaCppProperties.miroStat"]], "mirostateta (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.miroStatEta"], [483, "sparknlp.common.properties.HasLlamaCppProperties.miroStatEta"]], "mirostattau (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.miroStatTau"], [483, "sparknlp.common.properties.HasLlamaCppProperties.miroStatTau"]], "modelalias (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.modelAlias"], [483, "sparknlp.common.properties.HasLlamaCppProperties.modelAlias"]], "modeldraft (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.modelDraft"], [483, "sparknlp.common.properties.HasLlamaCppProperties.modelDraft"]], "multilabel (hasclassifieractivationproperties attribute)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.multilabel"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.multilabel"]], "nbatch (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nBatch"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nBatch"]], "nctx (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nCtx"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nCtx"]], "ndraft (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nDraft"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nDraft"]], "ngpulayers (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayers"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayers"]], "ngpulayersdraft (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayersDraft"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nGpuLayersDraft"]], "nkeep (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nKeep"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nKeep"]], "npredict (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nPredict"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nPredict"]], "nprobs (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nProbs"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nProbs"]], "nreturnsequences (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.nReturnSequences"], [483, "sparknlp.common.properties.HasGeneratorProperties.nReturnSequences"]], "nthreads (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nThreads"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nThreads"]], "nthreadsbatch (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nThreadsBatch"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nThreadsBatch"]], "nubatch (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.nUbatch"], [483, "sparknlp.common.properties.HasLlamaCppProperties.nUbatch"]], "nokvoffload (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.noKvOffload"], [483, "sparknlp.common.properties.HasLlamaCppProperties.noKvOffload"]], "norepeatngramsize (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.noRepeatNgramSize"], [483, "sparknlp.common.properties.HasGeneratorProperties.noRepeatNgramSize"]], "numastrategy (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.numaStrategy"], [483, "sparknlp.common.properties.HasLlamaCppProperties.numaStrategy"]], "paddingside (hasaudiofeatureproperties attribute)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.paddingSide"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.paddingSide"]], "paddingvalue (hasaudiofeatureproperties attribute)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.paddingValue"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.paddingValue"]], "penalizenl (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.penalizeNl"], [483, "sparknlp.common.properties.HasLlamaCppProperties.penalizeNl"]], "penaltyprompt (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.penaltyPrompt"], [483, "sparknlp.common.properties.HasLlamaCppProperties.penaltyPrompt"]], "poolingtype (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.poolingType"], [483, "sparknlp.common.properties.HasLlamaCppProperties.poolingType"]], "presencepenalty (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.presencePenalty"], [483, "sparknlp.common.properties.HasLlamaCppProperties.presencePenalty"]], "repeatlastn (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.repeatLastN"], [483, "sparknlp.common.properties.HasLlamaCppProperties.repeatLastN"]], "repeatpenalty (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.repeatPenalty"], [483, "sparknlp.common.properties.HasLlamaCppProperties.repeatPenalty"]], "repetitionpenalty (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.repetitionPenalty"], [483, "sparknlp.common.properties.HasGeneratorProperties.repetitionPenalty"]], "resample (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.resample"], [483, "sparknlp.common.properties.HasImageFeatureProperties.resample"]], "rescalefactor (hasrescalefactor attribute)": [[222, "sparknlp.common.properties.HasRescaleFactor.rescaleFactor"], [483, "sparknlp.common.properties.HasRescaleFactor.rescaleFactor"]], "returnattentionmask (hasaudiofeatureproperties attribute)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.returnAttentionMask"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.returnAttentionMask"]], "ropefreqbase (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqBase"], [483, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqBase"]], "ropefreqscale (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqScale"], [483, "sparknlp.common.properties.HasLlamaCppProperties.ropeFreqScale"]], "ropescalingtype (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.ropeScalingType"], [483, "sparknlp.common.properties.HasLlamaCppProperties.ropeScalingType"]], "samplers (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.samplers"], [483, "sparknlp.common.properties.HasLlamaCppProperties.samplers"]], "samplingrate (hasaudiofeatureproperties attribute)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.samplingRate"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.samplingRate"]], "seed (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.seed"], [483, "sparknlp.common.properties.HasLlamaCppProperties.seed"]], "setactivation() (hasclassifieractivationproperties method)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.setActivation"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.setActivation"]], "setbatchsize() (hasbatchedannotate method)": [[222, "sparknlp.common.properties.HasBatchedAnnotate.setBatchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotate.setBatchSize"]], "setbatchsize() (hasbatchedannotateaudio method)": [[222, "sparknlp.common.properties.HasBatchedAnnotateAudio.setBatchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotateAudio.setBatchSize"]], "setbatchsize() (hasbatchedannotateimage method)": [[222, "sparknlp.common.properties.HasBatchedAnnotateImage.setBatchSize"], [483, "sparknlp.common.properties.HasBatchedAnnotateImage.setBatchSize"]], "setbeamsize() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setBeamSize"], [483, "sparknlp.common.properties.HasGeneratorProperties.setBeamSize"]], "setcacheprompt() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setCachePrompt"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setCachePrompt"]], "setcandidatelabels() (hascandidatelabelsproperties method)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties.setCandidateLabels"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties.setCandidateLabels"]], "setcasesensitive() (hascasesensitiveproperties method)": [[222, "sparknlp.common.properties.HasCaseSensitiveProperties.setCaseSensitive"], [483, "sparknlp.common.properties.HasCaseSensitiveProperties.setCaseSensitive"]], "setchattemplate() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setChatTemplate"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setChatTemplate"]], "setcontradictionidparam() (hascandidatelabelsproperties method)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties.setContradictionIdParam"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties.setContradictionIdParam"]], "setdefragmentationthreshold() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setDefragmentationThreshold"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setDefragmentationThreshold"]], "setdimension() (hasembeddingsproperties method)": [[222, "sparknlp.common.properties.HasEmbeddingsProperties.setDimension"], [483, "sparknlp.common.properties.HasEmbeddingsProperties.setDimension"]], "setdisablelog() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setDisableLog"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setDisableLog"]], "setdisabletokenids() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setDisableTokenIds"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setDisableTokenIds"]], "setdonormalize() (hasaudiofeatureproperties method)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.setDoNormalize"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.setDoNormalize"]], "setdonormalize() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setDoNormalize"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setDoNormalize"]], "setdorescale() (hasrescalefactor method)": [[222, "sparknlp.common.properties.HasRescaleFactor.setDoRescale"], [483, "sparknlp.common.properties.HasRescaleFactor.setDoRescale"]], "setdoresize() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setDoResize"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setDoResize"]], "setdosample() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setDoSample"], [483, "sparknlp.common.properties.HasGeneratorProperties.setDoSample"]], "setdynamictemperatureexponent() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureExponent"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureExponent"]], "setdynamictemperaturerange() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureRange"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setDynamicTemperatureRange"]], "setenablecaching() (hasenablecachingproperties method)": [[222, "sparknlp.common.properties.HasEnableCachingProperties.setEnableCaching"], [483, "sparknlp.common.properties.HasEnableCachingProperties.setEnableCaching"]], "setentailmentidparam() (hascandidatelabelsproperties method)": [[222, "sparknlp.common.properties.HasCandidateLabelsProperties.setEntailmentIdParam"], [483, "sparknlp.common.properties.HasCandidateLabelsProperties.setEntailmentIdParam"]], "setfeatureextractortype() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setFeatureExtractorType"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setFeatureExtractorType"]], "setfeaturesize() (hasaudiofeatureproperties method)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.setFeatureSize"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.setFeatureSize"]], "setflashattention() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setFlashAttention"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setFlashAttention"]], "setfrequencypenalty() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setFrequencyPenalty"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setFrequencyPenalty"]], "setgpusplitmode() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setGpuSplitMode"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setGpuSplitMode"]], "setgrammar() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setGrammar"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setGrammar"]], "setignoreeos() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setIgnoreEos"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setIgnoreEos"]], "setimagemean() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setImageMean"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setImageMean"]], "setimagestd() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setImageStd"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setImageStd"]], "setinputprefix() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setInputPrefix"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setInputPrefix"]], "setinputsuffix() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setInputSuffix"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setInputSuffix"]], "setlogverbosity() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setLogVerbosity"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setLogVerbosity"]], "setmaingpu() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setMainGpu"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setMainGpu"]], "setmaxoutputlength() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setMaxOutputLength"], [483, "sparknlp.common.properties.HasGeneratorProperties.setMaxOutputLength"]], "setmaxsentencelength() (hasmaxsentencelengthlimit method)": [[222, "sparknlp.common.properties.HasMaxSentenceLengthLimit.setMaxSentenceLength"], [483, "sparknlp.common.properties.HasMaxSentenceLengthLimit.setMaxSentenceLength"]], "setminkeep() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setMinKeep"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setMinKeep"]], "setminoutputlength() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setMinOutputLength"], [483, "sparknlp.common.properties.HasGeneratorProperties.setMinOutputLength"]], "setminp() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setMinP"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setMinP"]], "setmirostat() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStat"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStat"]], "setmirostateta() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatEta"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatEta"]], "setmirostattau() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatTau"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setMiroStatTau"]], "setmodelalias() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setModelAlias"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setModelAlias"]], "setmodeldraft() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setModelDraft"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setModelDraft"]], "setmultilabel() (hasclassifieractivationproperties method)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.setMultilabel"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.setMultilabel"]], "setnbatch() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNBatch"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNBatch"]], "setnctx() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNCtx"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNCtx"]], "setndraft() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNDraft"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNDraft"]], "setngpulayers() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayers"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayers"]], "setngpulayersdraft() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayersDraft"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNGpuLayersDraft"]], "setnkeep() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNKeep"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNKeep"]], "setnparallel() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNParallel"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNParallel"]], "setnpredict() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNPredict"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNPredict"]], "setnprobs() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNProbs"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNProbs"]], "setnreturnsequences() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setNReturnSequences"], [483, "sparknlp.common.properties.HasGeneratorProperties.setNReturnSequences"]], "setnthreads() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNThreads"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNThreads"]], "setnthreadsbatch() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNThreadsBatch"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNThreadsBatch"]], "setnubatch() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNUbatch"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNUbatch"]], "setnokvoffload() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNoKvOffload"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNoKvOffload"]], "setnorepeatngramsize() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setNoRepeatNgramSize"], [483, "sparknlp.common.properties.HasGeneratorProperties.setNoRepeatNgramSize"]], "setnumastrategy() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setNumaStrategy"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setNumaStrategy"]], "setpaddingside() (hasaudiofeatureproperties method)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingSide"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingSide"]], "setpaddingvalue() (hasaudiofeatureproperties method)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingValue"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.setPaddingValue"]], "setpenalizenl() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setPenalizeNl"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setPenalizeNl"]], "setpenaltyprompt() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setPenaltyPrompt"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setPenaltyPrompt"]], "setpoolingtype() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setPoolingType"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setPoolingType"]], "setpresencepenalty() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setPresencePenalty"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setPresencePenalty"]], "setrepeatlastn() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatLastN"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatLastN"]], "setrepeatpenalty() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatPenalty"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setRepeatPenalty"]], "setrepetitionpenalty() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setRepetitionPenalty"], [483, "sparknlp.common.properties.HasGeneratorProperties.setRepetitionPenalty"]], "setresample() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setResample"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setResample"]], "setrescalefactor() (hasrescalefactor method)": [[222, "sparknlp.common.properties.HasRescaleFactor.setRescaleFactor"], [483, "sparknlp.common.properties.HasRescaleFactor.setRescaleFactor"]], "setreturnattentionmask() (hasaudiofeatureproperties method)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.setReturnAttentionMask"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.setReturnAttentionMask"]], "setropefreqbase() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqBase"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqBase"]], "setropefreqscale() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqScale"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setRopeFreqScale"]], "setropescalingtype() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setRopeScalingType"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setRopeScalingType"]], "setsamplers() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setSamplers"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setSamplers"]], "setsamplingrate() (hasaudiofeatureproperties method)": [[222, "sparknlp.common.properties.HasAudioFeatureProperties.setSamplingRate"], [483, "sparknlp.common.properties.HasAudioFeatureProperties.setSamplingRate"]], "setseed() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setSeed"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setSeed"]], "setsize() (hasimagefeatureproperties method)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.setSize"], [483, "sparknlp.common.properties.HasImageFeatureProperties.setSize"]], "setstopstrings() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setStopStrings"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setStopStrings"]], "setsystemprompt() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setSystemPrompt"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setSystemPrompt"]], "settask() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setTask"], [483, "sparknlp.common.properties.HasGeneratorProperties.setTask"]], "settemperature() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setTemperature"], [483, "sparknlp.common.properties.HasGeneratorProperties.setTemperature"]], "settemperature() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTemperature"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTemperature"]], "settfsz() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTfsZ"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTfsZ"]], "setthreshold() (hasclassifieractivationproperties method)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.setThreshold"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.setThreshold"]], "settokenbias() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTokenBias"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTokenBias"]], "settokenidbias() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTokenIdBias"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTokenIdBias"]], "settopk() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setTopK"], [483, "sparknlp.common.properties.HasGeneratorProperties.setTopK"]], "settopk() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTopK"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTopK"]], "settopp() (hasgeneratorproperties method)": [[222, "sparknlp.common.properties.HasGeneratorProperties.setTopP"], [483, "sparknlp.common.properties.HasGeneratorProperties.setTopP"]], "settopp() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTopP"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTopP"]], "settypicalp() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setTypicalP"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setTypicalP"]], "setuseclstoken() (hasclstokenproperties method)": [[222, "sparknlp.common.properties.HasClsTokenProperties.setUseCLSToken"], [483, "sparknlp.common.properties.HasClsTokenProperties.setUseCLSToken"]], "setusechattemplate() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setUseChatTemplate"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setUseChatTemplate"]], "setusemlock() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setUseMlock"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setUseMlock"]], "setusemmap() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setUseMmap"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setUseMmap"]], "setyarnattnfactor() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setYarnAttnFactor"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setYarnAttnFactor"]], "setyarnbetafast() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaFast"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaFast"]], "setyarnbetaslow() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaSlow"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setYarnBetaSlow"]], "setyarnextfactor() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setYarnExtFactor"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setYarnExtFactor"]], "setyarnorigctx() (hasllamacppproperties method)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.setYarnOrigCtx"], [483, "sparknlp.common.properties.HasLlamaCppProperties.setYarnOrigCtx"]], "size (hasimagefeatureproperties attribute)": [[222, "sparknlp.common.properties.HasImageFeatureProperties.size"], [483, "sparknlp.common.properties.HasImageFeatureProperties.size"]], "sparknlp.common.properties": [[222, "module-sparknlp.common.properties"], [483, "module-sparknlp.common.properties"]], "stopstrings (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.stopStrings"], [483, "sparknlp.common.properties.HasLlamaCppProperties.stopStrings"]], "systemprompt (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.systemPrompt"], [483, "sparknlp.common.properties.HasLlamaCppProperties.systemPrompt"]], "task (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.task"], [483, "sparknlp.common.properties.HasGeneratorProperties.task"]], "temperature (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.temperature"], [483, "sparknlp.common.properties.HasGeneratorProperties.temperature"]], "temperature (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.temperature"], [483, "sparknlp.common.properties.HasLlamaCppProperties.temperature"]], "tfsz (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.tfsZ"], [483, "sparknlp.common.properties.HasLlamaCppProperties.tfsZ"]], "threshold (hasclassifieractivationproperties attribute)": [[222, "sparknlp.common.properties.HasClassifierActivationProperties.threshold"], [483, "sparknlp.common.properties.HasClassifierActivationProperties.threshold"]], "topk (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.topK"], [483, "sparknlp.common.properties.HasGeneratorProperties.topK"]], "topk (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.topK"], [483, "sparknlp.common.properties.HasLlamaCppProperties.topK"]], "topp (hasgeneratorproperties attribute)": [[222, "sparknlp.common.properties.HasGeneratorProperties.topP"], [483, "sparknlp.common.properties.HasGeneratorProperties.topP"]], "topp (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.topP"], [483, "sparknlp.common.properties.HasLlamaCppProperties.topP"]], "typicalp (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.typicalP"], [483, "sparknlp.common.properties.HasLlamaCppProperties.typicalP"]], "useclstoken (hasclstokenproperties attribute)": [[222, "sparknlp.common.properties.HasClsTokenProperties.useCLSToken"], [483, "sparknlp.common.properties.HasClsTokenProperties.useCLSToken"]], "usechattemplate (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.useChatTemplate"], [483, "sparknlp.common.properties.HasLlamaCppProperties.useChatTemplate"]], "usemlock (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.useMlock"], [483, "sparknlp.common.properties.HasLlamaCppProperties.useMlock"]], "usemmap (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.useMmap"], [483, "sparknlp.common.properties.HasLlamaCppProperties.useMmap"]], "yarnattnfactor (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.yarnAttnFactor"], [483, "sparknlp.common.properties.HasLlamaCppProperties.yarnAttnFactor"]], "yarnbetafast (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaFast"], [483, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaFast"]], "yarnbetaslow (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaSlow"], [483, "sparknlp.common.properties.HasLlamaCppProperties.yarnBetaSlow"]], "yarnextfactor (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.yarnExtFactor"], [483, "sparknlp.common.properties.HasLlamaCppProperties.yarnExtFactor"]], "yarnorigctx (hasllamacppproperties attribute)": [[222, "sparknlp.common.properties.HasLlamaCppProperties.yarnOrigCtx"], [483, "sparknlp.common.properties.HasLlamaCppProperties.yarnOrigCtx"]], "binary (readas attribute)": [[223, "sparknlp.common.read_as.ReadAs.BINARY"], [484, "sparknlp.common.read_as.ReadAs.BINARY"]], "readas (class in sparknlp.common.read_as)": [[223, "sparknlp.common.read_as.ReadAs"], [484, "sparknlp.common.read_as.ReadAs"]], "spark (readas attribute)": [[223, "sparknlp.common.read_as.ReadAs.SPARK"], [484, "sparknlp.common.read_as.ReadAs.SPARK"]], "text (readas attribute)": [[223, "sparknlp.common.read_as.ReadAs.TEXT"], [484, "sparknlp.common.read_as.ReadAs.TEXT"]], "sparknlp.common.read_as": [[223, "module-sparknlp.common.read_as"], [484, "module-sparknlp.common.read_as"]], "recursiveannotatorapproach (class in sparknlp.common.recursive_annotator_approach)": [[224, "sparknlp.common.recursive_annotator_approach.RecursiveAnnotatorApproach"], [485, "sparknlp.common.recursive_annotator_approach.RecursiveAnnotatorApproach"]], "sparknlp.common.recursive_annotator_approach": [[224, "module-sparknlp.common.recursive_annotator_approach"], [485, "module-sparknlp.common.recursive_annotator_approach"]], "hasstorage (class in sparknlp.common.storage)": [[225, "sparknlp.common.storage.HasStorage"], [486, "sparknlp.common.storage.HasStorage"]], "hasstoragemodel (class in sparknlp.common.storage)": [[225, "sparknlp.common.storage.HasStorageModel"], [486, "sparknlp.common.storage.HasStorageModel"]], "hasstorageoptions (class in sparknlp.common.storage)": [[225, "sparknlp.common.storage.HasStorageOptions"], [486, "sparknlp.common.storage.HasStorageOptions"]], "hasstorageref (class in sparknlp.common.storage)": [[225, "sparknlp.common.storage.HasStorageRef"], [486, "sparknlp.common.storage.HasStorageRef"]], "enableinmemorystorage (hasstorageoptions attribute)": [[225, "sparknlp.common.storage.HasStorageOptions.enableInMemoryStorage"], [486, "sparknlp.common.storage.HasStorageOptions.enableInMemoryStorage"]], "getenableinmemorystorage() (hasstorageoptions method)": [[225, "sparknlp.common.storage.HasStorageOptions.getEnableInMemoryStorage"], [486, "sparknlp.common.storage.HasStorageOptions.getEnableInMemoryStorage"]], "getincludestorage() (hasstorageoptions method)": [[225, "sparknlp.common.storage.HasStorageOptions.getIncludeStorage"], [486, "sparknlp.common.storage.HasStorageOptions.getIncludeStorage"]], "getstoragepath() (hasstorage method)": [[225, "sparknlp.common.storage.HasStorage.getStoragePath"], [486, "sparknlp.common.storage.HasStorage.getStoragePath"]], "getstorageref() (hasstorageref method)": [[225, "sparknlp.common.storage.HasStorageRef.getStorageRef"], [486, "sparknlp.common.storage.HasStorageRef.getStorageRef"]], "includestorage (hasstorageoptions attribute)": [[225, "sparknlp.common.storage.HasStorageOptions.includeStorage"], [486, "sparknlp.common.storage.HasStorageOptions.includeStorage"]], "loadstorage() (hasstoragemodel static method)": [[225, "sparknlp.common.storage.HasStorageModel.loadStorage"], [486, "sparknlp.common.storage.HasStorageModel.loadStorage"]], "loadstorages() (hasstoragemodel static method)": [[225, "sparknlp.common.storage.HasStorageModel.loadStorages"], [486, "sparknlp.common.storage.HasStorageModel.loadStorages"]], "savestorage() (hasstoragemodel method)": [[225, "sparknlp.common.storage.HasStorageModel.saveStorage"], [486, "sparknlp.common.storage.HasStorageModel.saveStorage"]], "setenableinmemorystorage() (hasstorageoptions method)": [[225, "sparknlp.common.storage.HasStorageOptions.setEnableInMemoryStorage"], [486, "sparknlp.common.storage.HasStorageOptions.setEnableInMemoryStorage"]], "setincludestorage() (hasstorageoptions method)": [[225, "sparknlp.common.storage.HasStorageOptions.setIncludeStorage"], [486, "sparknlp.common.storage.HasStorageOptions.setIncludeStorage"]], "setstoragepath() (hasstorage method)": [[225, "sparknlp.common.storage.HasStorage.setStoragePath"], [486, "sparknlp.common.storage.HasStorage.setStoragePath"]], "setstorageref() (hasstorageref method)": [[225, "sparknlp.common.storage.HasStorageRef.setStorageRef"], [486, "sparknlp.common.storage.HasStorageRef.setStorageRef"]], "sparknlp.common.storage": [[225, "module-sparknlp.common.storage"], [486, "module-sparknlp.common.storage"]], "storagepath (hasstorage attribute)": [[225, "sparknlp.common.storage.HasStorage.storagePath"], [486, "sparknlp.common.storage.HasStorage.storagePath"]], "storageref (hasstorageref attribute)": [[225, "sparknlp.common.storage.HasStorageRef.storageRef"], [486, "sparknlp.common.storage.HasStorageRef.storageRef"]], "externalresource() (in module sparknlp.common.utils)": [[226, "sparknlp.common.utils.ExternalResource"], [487, "sparknlp.common.utils.ExternalResource"]], "regexrule() (in module sparknlp.common.utils)": [[226, "sparknlp.common.utils.RegexRule"], [487, "sparknlp.common.utils.RegexRule"]], "sparknlp.common.utils": [[226, "module-sparknlp.common.utils"], [487, "module-sparknlp.common.utils"]], "explode_annotations_col() (in module sparknlp.functions)": [[227, "sparknlp.functions.explode_annotations_col"], [488, "sparknlp.functions.explode_annotations_col"]], "filter_by_annotations_col() (in module sparknlp.functions)": [[227, "sparknlp.functions.filter_by_annotations_col"], [488, "sparknlp.functions.filter_by_annotations_col"]], "map_annotations() (in module sparknlp.functions)": [[227, "sparknlp.functions.map_annotations"], [488, "sparknlp.functions.map_annotations"]], "map_annotations_array() (in module sparknlp.functions)": [[227, "sparknlp.functions.map_annotations_array"], [488, "sparknlp.functions.map_annotations_array"]], "map_annotations_col() (in module sparknlp.functions)": [[227, "sparknlp.functions.map_annotations_col"], [488, "sparknlp.functions.map_annotations_col"]], "map_annotations_cols() (in module sparknlp.functions)": [[227, "sparknlp.functions.map_annotations_cols"], [488, "sparknlp.functions.map_annotations_cols"]], "map_annotations_strict() (in module sparknlp.functions)": [[227, "sparknlp.functions.map_annotations_strict"], [488, "sparknlp.functions.map_annotations_strict"]], "sparknlp.functions": [[227, "module-sparknlp.functions"], [488, "module-sparknlp.functions"]], "sparknlp.internal": [[228, "module-sparknlp.internal"], [493, "module-sparknlp.internal"]], "annotatorjavamlreadable (class in sparknlp.internal.annotator_java_ml)": [[229, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable"], [490, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable"]], "annotatorjavamlreader (class in sparknlp.internal.annotator_java_ml)": [[229, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReader"], [490, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReader"]], "read() (annotatorjavamlreadable class method)": [[229, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable.read"], [490, "sparknlp.internal.annotator_java_ml.AnnotatorJavaMLReadable.read"]], "sparknlp.internal.annotator_java_ml": [[229, "module-sparknlp.internal.annotator_java_ml"], [490, "module-sparknlp.internal.annotator_java_ml"]], "annotatortransformer (class in sparknlp.internal.annotator_transformer)": [[230, "sparknlp.internal.annotator_transformer.AnnotatorTransformer"], [491, "sparknlp.internal.annotator_transformer.AnnotatorTransformer"]], "outputannotatortype (annotatortransformer attribute)": [[230, "sparknlp.internal.annotator_transformer.AnnotatorTransformer.outputAnnotatorType"], [491, "sparknlp.internal.annotator_transformer.AnnotatorTransformer.outputAnnotatorType"]], "sparknlp.internal.annotator_transformer": [[230, "module-sparknlp.internal.annotator_transformer"], [491, "module-sparknlp.internal.annotator_transformer"]], "extendedjavawrapper (class in sparknlp.internal.extended_java_wrapper)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper"]], "apply() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.apply"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.apply"]], "getdataframe() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.getDataFrame"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.getDataFrame"]], "new_java_array() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array"]], "new_java_array_integer() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_integer"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_integer"]], "new_java_array_string() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_string"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_array_string"]], "new_java_obj() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_obj"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.new_java_obj"]], "spark_version() (extendedjavawrapper method)": [[231, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.spark_version"], [492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.spark_version"]], "sparknlp.internal.extended_java_wrapper": [[231, "module-sparknlp.internal.extended_java_wrapper"], [492, "module-sparknlp.internal.extended_java_wrapper"]], "paramsgetterssetters (class in sparknlp.internal.params_getters_setters)": [[232, "sparknlp.internal.params_getters_setters.ParamsGettersSetters"], [494, "sparknlp.internal.params_getters_setters.ParamsGettersSetters"]], "getparamvalue() (paramsgetterssetters method)": [[232, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getParamValue"], [494, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getParamValue"]], "getter_attrs (paramsgetterssetters attribute)": [[232, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getter_attrs"], [494, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.getter_attrs"]], "setparamvalue() (paramsgetterssetters method)": [[232, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.setParamValue"], [494, "sparknlp.internal.params_getters_setters.ParamsGettersSetters.setParamValue"]], "sparknlp.internal.params_getters_setters": [[232, "module-sparknlp.internal.params_getters_setters"], [494, "module-sparknlp.internal.params_getters_setters"]], "recursiveestimator (class in sparknlp.internal.recursive)": [[233, "sparknlp.internal.recursive.RecursiveEstimator"], [495, "sparknlp.internal.recursive.RecursiveEstimator"]], "recursivetransformer (class in sparknlp.internal.recursive)": [[233, "sparknlp.internal.recursive.RecursiveTransformer"], [495, "sparknlp.internal.recursive.RecursiveTransformer"]], "fit() (recursiveestimator method)": [[233, "sparknlp.internal.recursive.RecursiveEstimator.fit"], [495, "sparknlp.internal.recursive.RecursiveEstimator.fit"]], "sparknlp.internal.recursive": [[233, "module-sparknlp.internal.recursive"], [495, "module-sparknlp.internal.recursive"]], "transform_recursive() (recursivetransformer method)": [[233, "sparknlp.internal.recursive.RecursiveTransformer.transform_recursive"], [495, "sparknlp.internal.recursive.RecursiveTransformer.transform_recursive"]], "sparknlp.logging": [[234, "module-sparknlp.logging"], [497, "module-sparknlp.logging"]], "cometlogger (class in sparknlp.logging.comet)": [[235, "sparknlp.logging.comet.CometLogger"], [496, "sparknlp.logging.comet.CometLogger"]], "end() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.end"], [496, "sparknlp.logging.comet.CometLogger.end"]], "log_asset() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_asset"], [496, "sparknlp.logging.comet.CometLogger.log_asset"]], "log_asset_data() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_asset_data"], [496, "sparknlp.logging.comet.CometLogger.log_asset_data"]], "log_completed_run() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_completed_run"], [496, "sparknlp.logging.comet.CometLogger.log_completed_run"]], "log_metrics() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_metrics"], [496, "sparknlp.logging.comet.CometLogger.log_metrics"]], "log_parameters() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_parameters"], [496, "sparknlp.logging.comet.CometLogger.log_parameters"]], "log_pipeline_parameters() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_pipeline_parameters"], [496, "sparknlp.logging.comet.CometLogger.log_pipeline_parameters"]], "log_visualization() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.log_visualization"], [496, "sparknlp.logging.comet.CometLogger.log_visualization"]], "monitor() (cometlogger method)": [[235, "sparknlp.logging.comet.CometLogger.monitor"], [496, "sparknlp.logging.comet.CometLogger.monitor"]], "sparknlp.logging.comet": [[235, "module-sparknlp.logging.comet"], [496, "module-sparknlp.logging.comet"]], "sparknlp.partition": [[236, "module-sparknlp.partition"], [498, "module-sparknlp.partition"]], "partition (class in sparknlp.partition.partition)": [[237, "sparknlp.partition.partition.Partition"], [499, "sparknlp.partition.partition.Partition"]], "partition() (partition method)": [[237, "sparknlp.partition.partition.Partition.partition"], [499, "sparknlp.partition.partition.Partition.partition"]], "partition_text() (partition method)": [[237, "sparknlp.partition.partition.Partition.partition_text"], [499, "sparknlp.partition.partition.Partition.partition_text"]], "partition_urls() (partition method)": [[237, "sparknlp.partition.partition.Partition.partition_urls"], [499, "sparknlp.partition.partition.Partition.partition_urls"]], "sparknlp.partition.partition": [[237, "module-sparknlp.partition.partition"], [499, "module-sparknlp.partition.partition"]], "haschunkerproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties"]], "hasemailreaderproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasEmailReaderProperties"], [500, "sparknlp.partition.partition_properties.HasEmailReaderProperties"]], "hasexcelreaderproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties"]], "hashtmlreaderproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties"]], "haspdfproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties"], [500, "sparknlp.partition.partition_properties.HasPdfProperties"]], "haspowerpointproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasPowerPointProperties"], [500, "sparknlp.partition.partition_properties.HasPowerPointProperties"]], "hasreaderproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties"], [500, "sparknlp.partition.partition_properties.HasReaderProperties"]], "hastextreaderproperties (class in sparknlp.partition.partition_properties)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties"]], "addattachmentcontent (hasemailreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasEmailReaderProperties.addAttachmentContent"], [500, "sparknlp.partition.partition_properties.HasEmailReaderProperties.addAttachmentContent"]], "appendcells (hasexcelreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties.appendCells"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties.appendCells"]], "cellseparator (hasexcelreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties.cellSeparator"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties.cellSeparator"]], "chunkingstrategy (haschunkerproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.chunkingStrategy"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.chunkingStrategy"]], "combinetextundernchars (haschunkerproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.combineTextUnderNChars"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.combineTextUnderNChars"]], "contentpath (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.contentPath"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.contentPath"]], "contenttype (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.contentType"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.contentType"]], "explodedocs (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.explodeDocs"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.explodeDocs"]], "extractcoordinates (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.extractCoordinates"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.extractCoordinates"]], "flattenoutput (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.flattenOutput"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.flattenOutput"]], "getaddattachmentcontent() (hasemailreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasEmailReaderProperties.getAddAttachmentContent"], [500, "sparknlp.partition.partition_properties.HasEmailReaderProperties.getAddAttachmentContent"]], "getappendcells() (hasexcelreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getAppendCells"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getAppendCells"]], "getcellseparator() (hasexcelreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getCellSeparator"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties.getCellSeparator"]], "getgroupbrokenparagraphs() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.getGroupBrokenParagraphs"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.getGroupBrokenParagraphs"]], "getincludeslidenotes() (haspowerpointproperties method)": [[238, "sparknlp.partition.partition_properties.HasPowerPointProperties.getIncludeSlideNotes"], [500, "sparknlp.partition.partition_properties.HasPowerPointProperties.getIncludeSlideNotes"]], "getmaxlinecount() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.getMaxLineCount"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.getMaxLineCount"]], "getparagraphsplit() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.getParagraphSplit"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.getParagraphSplit"]], "getshortlinewordthreshold() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.getShortLineWordThreshold"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.getShortLineWordThreshold"]], "getthreshold() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.getThreshold"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.getThreshold"]], "gettimeout() (hashtmlreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.getTimeout"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.getTimeout"]], "gettitlelengthsize() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.getTitleLengthSize"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.getTitleLengthSize"]], "groupbrokenparagraphs (hastextreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.groupBrokenParagraphs"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.groupBrokenParagraphs"]], "ignoreexceptions (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.ignoreExceptions"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.ignoreExceptions"]], "includepagebreaks (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.includePageBreaks"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.includePageBreaks"]], "includeslidenotes (haspowerpointproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPowerPointProperties.includeSlideNotes"], [500, "sparknlp.partition.partition_properties.HasPowerPointProperties.includeSlideNotes"]], "infertablestructure (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.inferTableStructure"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.inferTableStructure"]], "inputcol (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.inputCol"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.inputCol"]], "maxcharacters (haschunkerproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.maxCharacters"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.maxCharacters"]], "maxlinecount (hastextreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.maxLineCount"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.maxLineCount"]], "newafternchars (haschunkerproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.newAfterNChars"]], "normalizeligatures (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.normalizeLigatures"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.normalizeLigatures"]], "onlypagenum (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.onlyPageNum"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.onlyPageNum"]], "origincol (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.originCol"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.originCol"]], "outputasdocument (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.outputAsDocument"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.outputAsDocument"]], "outputcol (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.outputCol"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.outputCol"]], "outputformat (hashtmlreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.outputFormat"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.outputFormat"]], "overlap (haschunkerproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.overlap"]], "overlapall (haschunkerproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.overlapAll"]], "pagenumcol (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.pageNumCol"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.pageNumCol"]], "paragraphsplit (hastextreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.paragraphSplit"]], "partitionnum (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.partitionNum"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.partitionNum"]], "readasimage (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.readAsImage"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.readAsImage"]], "setaddattachmentcontent() (hasemailreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"], [500, "sparknlp.partition.partition_properties.HasEmailReaderProperties.setAddAttachmentContent"]], "setappendcells() (hasexcelreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setAppendCells"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setAppendCells"]], "setcellseparator() (hasexcelreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setCellSeparator"], [500, "sparknlp.partition.partition_properties.HasExcelReaderProperties.setCellSeparator"]], "setchunkingstrategy() (haschunkerproperties method)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.setChunkingStrategy"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.setChunkingStrategy"]], "setcombinetextundernchars() (haschunkerproperties method)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.setCombineTextUnderNChars"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.setCombineTextUnderNChars"]], "setcontentpath() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setContentPath"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setContentPath"]], "setcontenttype() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setContentType"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setContentType"]], "setexplodedocs() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setExplodeDocs"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setExplodeDocs"]], "setextractcoordinates() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setExtractCoordinates"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setExtractCoordinates"]], "setflattenoutput() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setFlattenOutput"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setFlattenOutput"]], "setgroupbrokenparagraphs() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.setGroupBrokenParagraphs"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.setGroupBrokenParagraphs"]], "setheaders() (hashtmlreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setHeaders"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setHeaders"]], "setignoreexceptions() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setIgnoreExceptions"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setIgnoreExceptions"]], "setincludepagebreaks() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setIncludePageBreaks"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setIncludePageBreaks"]], "setincludeslidenotes() (haspowerpointproperties method)": [[238, "sparknlp.partition.partition_properties.HasPowerPointProperties.setIncludeSlideNotes"], [500, "sparknlp.partition.partition_properties.HasPowerPointProperties.setIncludeSlideNotes"]], "setinfertablestructure() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setInferTableStructure"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setInferTableStructure"]], "setinputcol() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setInputCol"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setInputCol"]], "setmaxcharacters() (haschunkerproperties method)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.setMaxCharacters"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.setMaxCharacters"]], "setmaxlinecount() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.setMaxLineCount"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.setMaxLineCount"]], "setnewafternchars() (haschunkerproperties method)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.setNewAfterNChars"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.setNewAfterNChars"]], "setnormalizeligatures() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setNormalizeLigatures"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setNormalizeLigatures"]], "setonlypagenum() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setOnlyPageNum"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setOnlyPageNum"]], "setorigincol() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setOriginCol"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setOriginCol"]], "setoutputasdocument() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputAsDocument"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputAsDocument"]], "setoutputcol() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputCol"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setOutputCol"]], "setoutputformat() (hashtmlreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setOutputFormat"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setOutputFormat"]], "setoverlap() (haschunkerproperties method)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlap"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlap"]], "setoverlapall() (haschunkerproperties method)": [[238, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlapAll"], [500, "sparknlp.partition.partition_properties.HasChunkerProperties.setOverlapAll"]], "setpagenumcol() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setPageNumCol"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setPageNumCol"]], "setparagraphsplit() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.setParagraphSplit"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.setParagraphSplit"]], "setpartitionnum() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setPartitionNum"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setPartitionNum"]], "setreadasimage() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setReadAsImage"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setReadAsImage"]], "setshortlinewordthreshold() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.setShortLineWordThreshold"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.setShortLineWordThreshold"]], "setsort() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setSort"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setSort"]], "setsplitpage() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setSplitPage"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setSplitPage"]], "setstorecontent() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setStoreContent"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setStoreContent"]], "setstoresplittedpdf() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setStoreSplittedPdf"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setStoreSplittedPdf"]], "settextstripper() (haspdfproperties method)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.setTextStripper"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.setTextStripper"]], "setthreshold() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.setThreshold"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.setThreshold"]], "settimeout() (hashtmlreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setTimeout"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.setTimeout"]], "settitlefontsize() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleFontSize"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleFontSize"]], "settitlelengthsize() (hastextreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.setTitleLengthSize"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.setTitleLengthSize"]], "settitlethreshold() (hasreaderproperties method)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleThreshold"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.setTitleThreshold"]], "shortlinewordthreshold (hastextreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.shortLineWordThreshold"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.shortLineWordThreshold"]], "sort (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.sort"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.sort"]], "sparknlp.partition.partition_properties": [[238, "module-sparknlp.partition.partition_properties"], [500, "module-sparknlp.partition.partition_properties"]], "splitpage (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.splitPage"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.splitPage"]], "storecontent (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.storeContent"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.storeContent"]], "storesplittedpdf (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.storeSplittedPdf"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.storeSplittedPdf"]], "textstripper (haspdfproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasPdfProperties.textStripper"], [500, "sparknlp.partition.partition_properties.HasPdfProperties.textStripper"]], "threshold (hastextreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.threshold"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.threshold"]], "timeout (hashtmlreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.timeout"], [500, "sparknlp.partition.partition_properties.HasHTMLReaderProperties.timeout"]], "titlefontsize (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.titleFontSize"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.titleFontSize"]], "titlelengthsize (hastextreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasTextReaderProperties.titleLengthSize"], [500, "sparknlp.partition.partition_properties.HasTextReaderProperties.titleLengthSize"]], "titlethreshold (hasreaderproperties attribute)": [[238, "sparknlp.partition.partition_properties.HasReaderProperties.titleThreshold"], [500, "sparknlp.partition.partition_properties.HasReaderProperties.titleThreshold"]], "partitiontransformer (class in sparknlp.partition.partition_transformer)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer"]], "contentpath (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.contentPath"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.contentPath"]], "contenttype (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.contentType"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.contentType"]], "getcontentpath() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentPath"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentPath"]], "getcontenttype() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentType"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.getContentType"]], "getincludepagebreaks() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.getIncludePageBreaks"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.getIncludePageBreaks"]], "getinfertablestructure() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.getInferTableStructure"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.getInferTableStructure"]], "getstorecontent() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.getStoreContent"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.getStoreContent"]], "gettitlefontsize() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.getTitleFontSize"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.getTitleFontSize"]], "includepagebreaks (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.includePageBreaks"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.includePageBreaks"]], "infertablestructure (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.inferTableStructure"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.inferTableStructure"]], "inputannotatortypes (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.inputAnnotatorTypes"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.inputAnnotatorTypes"]], "name (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.name"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.name"]], "outputannotatortype (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.outputAnnotatorType"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.outputAnnotatorType"]], "setcontentpath() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentPath"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentPath"]], "setcontenttype() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentType"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.setContentType"]], "setincludepagebreaks() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.setIncludePageBreaks"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.setIncludePageBreaks"]], "setinfertablestructure() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.setInferTableStructure"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.setInferTableStructure"]], "setstorecontent() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.setStoreContent"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.setStoreContent"]], "settitlefontsize() (partitiontransformer method)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.setTitleFontSize"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.setTitleFontSize"]], "sparknlp.partition.partition_transformer": [[239, "module-sparknlp.partition.partition_transformer"], [501, "module-sparknlp.partition.partition_transformer"]], "storecontent (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.storeContent"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.storeContent"]], "titlefontsize (partitiontransformer attribute)": [[239, "sparknlp.partition.partition_transformer.PartitionTransformer.titleFontSize"], [501, "sparknlp.partition.partition_transformer.PartitionTransformer.titleFontSize"]], "sparknlp.pretrained": [[240, "module-sparknlp.pretrained"], [502, "module-sparknlp.pretrained"]], "pretrainedpipeline (class in sparknlp.pretrained.pretrained_pipeline)": [[241, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline"], [503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline"]], "annotate() (pretrainedpipeline method)": [[241, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.annotate"], [503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.annotate"]], "from_disk() (pretrainedpipeline static method)": [[241, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.from_disk"], [503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.from_disk"]], "fullannotate() (pretrainedpipeline method)": [[241, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotate"], [503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotate"]], "fullannotateimage() (pretrainedpipeline method)": [[241, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotateImage"], [503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.fullAnnotateImage"]], "sparknlp.pretrained.pretrained_pipeline": [[241, "module-sparknlp.pretrained.pretrained_pipeline"], [503, "module-sparknlp.pretrained.pretrained_pipeline"]], "transform() (pretrainedpipeline method)": [[241, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.transform"], [503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.transform"]], "resourcedownloader (class in sparknlp.pretrained.resource_downloader)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader"]], "clearcache() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.clearCache"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.clearCache"]], "downloadmodel() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModel"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModel"]], "downloadmodeldirectly() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModelDirectly"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadModelDirectly"]], "downloadpipeline() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadPipeline"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.downloadPipeline"]], "showavailableannotators() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showAvailableAnnotators"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showAvailableAnnotators"]], "showpublicmodels() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicModels"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicModels"]], "showpublicpipelines() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicPipelines"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showPublicPipelines"]], "showuncategorizedresources() (resourcedownloader static method)": [[242, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showUnCategorizedResources"], [504, "sparknlp.pretrained.resource_downloader.ResourceDownloader.showUnCategorizedResources"]], "sparknlp.pretrained.resource_downloader": [[242, "module-sparknlp.pretrained.resource_downloader"], [504, "module-sparknlp.pretrained.resource_downloader"]], "printprogress() (in module sparknlp.pretrained.utils)": [[243, "sparknlp.pretrained.utils.printProgress"], [505, "sparknlp.pretrained.utils.printProgress"]], "sparknlp.pretrained.utils": [[243, "module-sparknlp.pretrained.utils"], [505, "module-sparknlp.pretrained.utils"]], "sparknlp.reader": [[244, "module-sparknlp.reader"], [507, "module-sparknlp.reader"]], "pdf_layout_text_stripper (textstrippertype attribute)": [[245, "sparknlp.reader.enums.TextStripperType.PDF_LAYOUT_TEXT_STRIPPER"], [506, "sparknlp.reader.enums.TextStripperType.PDF_LAYOUT_TEXT_STRIPPER"]], "pdf_text_stripper (textstrippertype attribute)": [[245, "sparknlp.reader.enums.TextStripperType.PDF_TEXT_STRIPPER"], [506, "sparknlp.reader.enums.TextStripperType.PDF_TEXT_STRIPPER"]], "textstrippertype (class in sparknlp.reader.enums)": [[245, "sparknlp.reader.enums.TextStripperType"], [506, "sparknlp.reader.enums.TextStripperType"]], "sparknlp.reader.enums": [[245, "module-sparknlp.reader.enums"], [506, "module-sparknlp.reader.enums"]], "pdftotext (class in sparknlp.reader.pdf_to_text)": [[246, "sparknlp.reader.pdf_to_text.PdfToText"], [508, "sparknlp.reader.pdf_to_text.PdfToText"]], "extractcoordinates (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.extractCoordinates"], [508, "sparknlp.reader.pdf_to_text.PdfToText.extractCoordinates"]], "normalizeligatures (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.normalizeLigatures"], [508, "sparknlp.reader.pdf_to_text.PdfToText.normalizeLigatures"]], "onlypagenum (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.onlyPageNum"], [508, "sparknlp.reader.pdf_to_text.PdfToText.onlyPageNum"]], "pagenumcol (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.pageNumCol"], [508, "sparknlp.reader.pdf_to_text.PdfToText.pageNumCol"]], "partitionnum (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.partitionNum"], [508, "sparknlp.reader.pdf_to_text.PdfToText.partitionNum"]], "setextractcoordinates() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setExtractCoordinates"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setExtractCoordinates"]], "setinputcol() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setInputCol"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setInputCol"]], "setnormalizeligatures() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setNormalizeLigatures"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setNormalizeLigatures"]], "setonlypagenum() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setOnlyPageNum"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setOnlyPageNum"]], "setoutputcol() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setOutputCol"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setOutputCol"]], "setpagenumcol() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setPageNumCol"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setPageNumCol"]], "setpartitionnum() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setPartitionNum"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setPartitionNum"]], "setsort() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setSort"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setSort"]], "setsplitpage() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setSplitPage"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setSplitPage"]], "setstoresplittedpdf() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setStoreSplittedPdf"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setStoreSplittedPdf"]], "settextstripper() (pdftotext method)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.setTextStripper"], [508, "sparknlp.reader.pdf_to_text.PdfToText.setTextStripper"]], "sort (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.sort"], [508, "sparknlp.reader.pdf_to_text.PdfToText.sort"]], "sparknlp.reader.pdf_to_text": [[246, "module-sparknlp.reader.pdf_to_text"], [508, "module-sparknlp.reader.pdf_to_text"]], "splitpage (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.splitPage"], [508, "sparknlp.reader.pdf_to_text.PdfToText.splitPage"]], "storesplittedpdf (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.storeSplittedPdf"], [508, "sparknlp.reader.pdf_to_text.PdfToText.storeSplittedPdf"]], "textstripper (pdftotext attribute)": [[246, "sparknlp.reader.pdf_to_text.PdfToText.textStripper"], [508, "sparknlp.reader.pdf_to_text.PdfToText.textStripper"]], "reader2doc (class in sparknlp.reader.reader2doc)": [[247, "sparknlp.reader.reader2doc.Reader2Doc"], [509, "sparknlp.reader.reader2doc.Reader2Doc"]], "excludenontext (reader2doc attribute)": [[247, "sparknlp.reader.reader2doc.Reader2Doc.excludeNonText"], [509, "sparknlp.reader.reader2doc.Reader2Doc.excludeNonText"]], "name (reader2doc attribute)": [[247, "sparknlp.reader.reader2doc.Reader2Doc.name"], [509, "sparknlp.reader.reader2doc.Reader2Doc.name"]], "outputannotatortype (reader2doc attribute)": [[247, "sparknlp.reader.reader2doc.Reader2Doc.outputAnnotatorType"], [509, "sparknlp.reader.reader2doc.Reader2Doc.outputAnnotatorType"]], "setexcludenontext() (reader2doc method)": [[247, "sparknlp.reader.reader2doc.Reader2Doc.setExcludeNonText"], [509, "sparknlp.reader.reader2doc.Reader2Doc.setExcludeNonText"]], "setparams() (reader2doc method)": [[247, "sparknlp.reader.reader2doc.Reader2Doc.setParams"], [509, "sparknlp.reader.reader2doc.Reader2Doc.setParams"]], "sparknlp.reader.reader2doc": [[247, "module-sparknlp.reader.reader2doc"], [509, "module-sparknlp.reader.reader2doc"]], "reader2image (class in sparknlp.reader.reader2image)": [[248, "sparknlp.reader.reader2image.Reader2Image"], [510, "sparknlp.reader.reader2image.Reader2Image"]], "customprompttemplate (reader2image attribute)": [[248, "sparknlp.reader.reader2image.Reader2Image.customPromptTemplate"], [510, "sparknlp.reader.reader2image.Reader2Image.customPromptTemplate"]], "name (reader2image attribute)": [[248, "sparknlp.reader.reader2image.Reader2Image.name"], [510, "sparknlp.reader.reader2image.Reader2Image.name"]], "outputannotatortype (reader2image attribute)": [[248, "sparknlp.reader.reader2image.Reader2Image.outputAnnotatorType"], [510, "sparknlp.reader.reader2image.Reader2Image.outputAnnotatorType"]], "prompttemplate (reader2image attribute)": [[248, "sparknlp.reader.reader2image.Reader2Image.promptTemplate"], [510, "sparknlp.reader.reader2image.Reader2Image.promptTemplate"]], "setcustomprompttemplate() (reader2image method)": [[248, "sparknlp.reader.reader2image.Reader2Image.setCustomPromptTemplate"], [510, "sparknlp.reader.reader2image.Reader2Image.setCustomPromptTemplate"]], "setparams() (reader2image method)": [[248, "sparknlp.reader.reader2image.Reader2Image.setParams"], [510, "sparknlp.reader.reader2image.Reader2Image.setParams"]], "setprompttemplate() (reader2image method)": [[248, "sparknlp.reader.reader2image.Reader2Image.setPromptTemplate"], [510, "sparknlp.reader.reader2image.Reader2Image.setPromptTemplate"]], "setusermessage() (reader2image method)": [[248, "sparknlp.reader.reader2image.Reader2Image.setUserMessage"], [510, "sparknlp.reader.reader2image.Reader2Image.setUserMessage"]], "sparknlp.reader.reader2image": [[248, "module-sparknlp.reader.reader2image"], [510, "module-sparknlp.reader.reader2image"]], "usermessage (reader2image attribute)": [[248, "sparknlp.reader.reader2image.Reader2Image.userMessage"], [510, "sparknlp.reader.reader2image.Reader2Image.userMessage"]], "reader2table (class in sparknlp.reader.reader2table)": [[249, "sparknlp.reader.reader2table.Reader2Table"], [511, "sparknlp.reader.reader2table.Reader2Table"]], "name (reader2table attribute)": [[249, "sparknlp.reader.reader2table.Reader2Table.name"], [511, "sparknlp.reader.reader2table.Reader2Table.name"]], "outputannotatortype (reader2table attribute)": [[249, "sparknlp.reader.reader2table.Reader2Table.outputAnnotatorType"], [511, "sparknlp.reader.reader2table.Reader2Table.outputAnnotatorType"]], "setparams() (reader2table method)": [[249, "sparknlp.reader.reader2table.Reader2Table.setParams"], [511, "sparknlp.reader.reader2table.Reader2Table.setParams"]], "sparknlp.reader.reader2table": [[249, "module-sparknlp.reader.reader2table"], [511, "module-sparknlp.reader.reader2table"]], "readerassembler (class in sparknlp.reader.reader_assembler)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler"]], "customprompttemplate (readerassembler attribute)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.customPromptTemplate"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.customPromptTemplate"]], "excludenontext (readerassembler attribute)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.excludeNonText"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.excludeNonText"]], "name (readerassembler attribute)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.name"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.name"]], "outputannotatortype (readerassembler attribute)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.outputAnnotatorType"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.outputAnnotatorType"]], "prompttemplate (readerassembler attribute)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.promptTemplate"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.promptTemplate"]], "setcustomprompttemplate() (readerassembler method)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.setCustomPromptTemplate"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.setCustomPromptTemplate"]], "setexcludenontext() (readerassembler method)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.setExcludeNonText"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.setExcludeNonText"]], "setparams() (readerassembler method)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.setParams"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.setParams"]], "setprompttemplate() (readerassembler method)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.setPromptTemplate"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.setPromptTemplate"]], "setusermessage() (readerassembler method)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.setUserMessage"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.setUserMessage"]], "sparknlp.reader.reader_assembler": [[250, "module-sparknlp.reader.reader_assembler"], [512, "module-sparknlp.reader.reader_assembler"]], "usermessage (readerassembler attribute)": [[250, "sparknlp.reader.reader_assembler.ReaderAssembler.userMessage"], [512, "sparknlp.reader.reader_assembler.ReaderAssembler.userMessage"]], "sparknlpreader (class in sparknlp.reader.sparknlp_reader)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader"]], "csv() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.csv"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.csv"]], "doc() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.doc"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.doc"]], "email() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.email"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.email"]], "html() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.html"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.html"]], "md() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.md"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.md"]], "pdf() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.pdf"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.pdf"]], "ppt() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.ppt"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.ppt"]], "sparknlp.reader.sparknlp_reader": [[251, "module-sparknlp.reader.sparknlp_reader"], [513, "module-sparknlp.reader.sparknlp_reader"]], "txt() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.txt"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.txt"]], "xls() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xls"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xls"]], "xml() (sparknlpreader method)": [[251, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xml"], [513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.xml"]], "sparknlp.training": [[252, "module-sparknlp.training"], [516, "module-sparknlp.training"]], "conll (class in sparknlp.training.conll)": [[253, "sparknlp.training.conll.CoNLL"], [514, "sparknlp.training.conll.CoNLL"]], "readdataset() (conll method)": [[253, "sparknlp.training.conll.CoNLL.readDataset"], [514, "sparknlp.training.conll.CoNLL.readDataset"]], "sparknlp.training.conll": [[253, "module-sparknlp.training.conll"], [514, "module-sparknlp.training.conll"]], "conllu (class in sparknlp.training.conllu)": [[254, "sparknlp.training.conllu.CoNLLU"], [515, "sparknlp.training.conllu.CoNLLU"]], "readdataset() (conllu method)": [[254, "sparknlp.training.conllu.CoNLLU.readDataset"], [515, "sparknlp.training.conllu.CoNLLU.readDataset"]], "sparknlp.training.conllu": [[254, "module-sparknlp.training.conllu"], [515, "module-sparknlp.training.conllu"]], "pos (class in sparknlp.training.pos)": [[255, "sparknlp.training.pos.POS"], [517, "sparknlp.training.pos.POS"]], "readdataset() (pos method)": [[255, "sparknlp.training.pos.POS.readDataset"], [517, "sparknlp.training.pos.POS.readDataset"]], "sparknlp.training.pos": [[255, "module-sparknlp.training.pos"], [517, "module-sparknlp.training.pos"]], "pubtator (class in sparknlp.training.pub_tator)": [[256, "sparknlp.training.pub_tator.PubTator"], [518, "sparknlp.training.pub_tator.PubTator"]], "readdataset() (pubtator method)": [[256, "sparknlp.training.pub_tator.PubTator.readDataset"], [518, "sparknlp.training.pub_tator.PubTator.readDataset"]], "sparknlp.training.pub_tator": [[256, "module-sparknlp.training.pub_tator"], [518, "module-sparknlp.training.pub_tator"]], "spacytoannotation (class in sparknlp.training.spacy_to_annotation)": [[257, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation"], [519, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation"]], "readjsonfile() (spacytoannotation method)": [[257, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation.readJsonFile"], [519, "sparknlp.training.spacy_to_annotation.SpacyToAnnotation.readJsonFile"]], "sparknlp.training.spacy_to_annotation": [[257, "module-sparknlp.training.spacy_to_annotation"], [519, "module-sparknlp.training.spacy_to_annotation"]], "pushtohub (class in sparknlp.upload_to_hub)": [[259, "sparknlp.upload_to_hub.PushToHub"], [521, "sparknlp.upload_to_hub.PushToHub"]], "check_for_required_info() (pushtohub method)": [[259, "sparknlp.upload_to_hub.PushToHub.check_for_required_info"], [521, "sparknlp.upload_to_hub.PushToHub.check_for_required_info"]], "create_docs() (pushtohub method)": [[259, "sparknlp.upload_to_hub.PushToHub.create_docs"], [521, "sparknlp.upload_to_hub.PushToHub.create_docs"]], "list_of_tasks (pushtohub attribute)": [[259, "sparknlp.upload_to_hub.PushToHub.list_of_tasks"], [521, "sparknlp.upload_to_hub.PushToHub.list_of_tasks"]], "push_to_hub() (pushtohub method)": [[259, "sparknlp.upload_to_hub.PushToHub.push_to_hub"], [521, "sparknlp.upload_to_hub.PushToHub.push_to_hub"]], "sparknlp.upload_to_hub": [[259, "module-sparknlp.upload_to_hub"], [521, "module-sparknlp.upload_to_hub"]], "unzip_directory() (pushtohub method)": [[259, "sparknlp.upload_to_hub.PushToHub.unzip_directory"], [521, "sparknlp.upload_to_hub.PushToHub.unzip_directory"]], "zip_directory() (pushtohub method)": [[259, "sparknlp.upload_to_hub.PushToHub.zip_directory"], [521, "sparknlp.upload_to_hub.PushToHub.zip_directory"]], "conllgenerator (class in sparknlp.util)": [[260, "sparknlp.util.CoNLLGenerator"], [522, "sparknlp.util.CoNLLGenerator"]], "embeddingsdataframeutils (class in sparknlp.util)": [[260, "sparknlp.util.EmbeddingsDataFrameUtils"], [522, "sparknlp.util.EmbeddingsDataFrameUtils"]], "emptyimagerow (embeddingsdataframeutils attribute)": [[260, "sparknlp.util.EmbeddingsDataFrameUtils.emptyImageRow"], [522, "sparknlp.util.EmbeddingsDataFrameUtils.emptyImageRow"]], "exportconllfiles() (conllgenerator static method)": [[260, "sparknlp.util.CoNLLGenerator.exportConllFiles"], [522, "sparknlp.util.CoNLLGenerator.exportConllFiles"]], "get_config_path() (in module sparknlp.util)": [[260, "sparknlp.util.get_config_path"], [522, "sparknlp.util.get_config_path"]], "imageschema (embeddingsdataframeutils attribute)": [[260, "sparknlp.util.EmbeddingsDataFrameUtils.imageSchema"], [522, "sparknlp.util.EmbeddingsDataFrameUtils.imageSchema"]], "sparknlp.util": [[260, "module-sparknlp.util"], [522, "module-sparknlp.util"]], "annotatortype (annotation attribute)": [[263, "sparknlp.annotation.Annotation.annotatorType"]], "begin (annotation attribute)": [[263, "sparknlp.annotation.Annotation.begin"]], "embeddings (annotation attribute)": [[263, "sparknlp.annotation.Annotation.embeddings"]], "end (annotation attribute)": [[263, "sparknlp.annotation.Annotation.end"]], "metadata (annotation attribute)": [[263, "sparknlp.annotation.Annotation.metadata"]], "result (annotation attribute)": [[263, "sparknlp.annotation.Annotation.result"]], "annotatortype (annotationaudio attribute)": [[264, "sparknlp.annotation_audio.AnnotationAudio.annotatorType"]], "metadata (annotationaudio attribute)": [[264, "sparknlp.annotation_audio.AnnotationAudio.metadata"]], "result (annotationaudio attribute)": [[264, "sparknlp.annotation_audio.AnnotationAudio.result"]], "annotatortype (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.annotatorType"]], "height (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.height"]], "metadata (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.metadata"]], "mode (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.mode"]], "nchannels (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.nChannels"]], "origin (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.origin"]], "result (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.result"]], "width (annotationimage attribute)": [[265, "sparknlp.annotation_image.AnnotationImage.width"]], "documenttokensplittertestspec (class in sparknlp.annotator.document_token_splitter_test)": [[349, "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec"]], "setup() (documenttokensplittertestspec method)": [[349, "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec.setUp"]], "sparknlp.annotator.document_token_splitter_test": [[349, "module-sparknlp.annotator.document_token_splitter_test"]], "test_run() (documenttokensplittertestspec method)": [[349, "sparknlp.annotator.document_token_splitter_test.DocumentTokenSplitterTestSpec.test_run"]], "annotators (in module sparknlp.annotator)": [[384, "sparknlp.annotator.annotators"]], "audio (in module sparknlp.annotator)": [[384, "sparknlp.annotator.audio"]], "classifier (in module sparknlp.annotator)": [[384, "sparknlp.annotator.classifier"]], "coref (in module sparknlp.annotator)": [[384, "sparknlp.annotator.coref"]], "cv (in module sparknlp.annotator)": [[384, "sparknlp.annotator.cv"]], "embeddings (in module sparknlp.annotator)": [[384, "sparknlp.annotator.embeddings"]], "er (in module sparknlp.annotator)": [[384, "sparknlp.annotator.er"]], "keyword (in module sparknlp.annotator)": [[384, "sparknlp.annotator.keyword"]], "ld (in module sparknlp.annotator)": [[384, "sparknlp.annotator.ld"]], "ner (in module sparknlp.annotator)": [[384, "sparknlp.annotator.ner"]], "parser (in module sparknlp.annotator)": [[384, "sparknlp.annotator.parser"]], "pos (in module sparknlp.annotator)": [[384, "sparknlp.annotator.pos"]], "regex (in module sparknlp.annotator)": [[384, "sparknlp.annotator.regex"]], "sbd (in module sparknlp.annotator)": [[384, "sparknlp.annotator.sbd"]], "sda (in module sparknlp.annotator)": [[384, "sparknlp.annotator.sda"]], "sentence_detector_dl (in module sparknlp.annotator)": [[384, "sparknlp.annotator.sentence_detector_dl"]], "seq2seq (in module sparknlp.annotator)": [[384, "sparknlp.annotator.seq2seq"]], "spell (in module sparknlp.annotator)": [[384, "sparknlp.annotator.spell"]], "ws (in module sparknlp.annotator)": [[384, "sparknlp.annotator.ws"]], "dictionary_path (norvigsweetingapproach attribute)": [[445, "sparknlp.annotator.spell_check.norvig_sweeting.NorvigSweetingApproach.dictionary_path"]], "dictionary_path (symmetricdeleteapproach attribute)": [[446, "sparknlp.annotator.spell_check.symmetric_delete.SymmetricDeleteApproach.dictionary_path"]], "parse_embeddings (lightpipeline attribute)": [[469, "sparknlp.base.light_pipeline.LightPipeline.parse_embeddings"]], "pipeline_model (lightpipeline attribute)": [[469, "sparknlp.base.light_pipeline.LightPipeline.pipeline_model"]], "stages (recursivepipelinemodel attribute)": [[472, "sparknlp.base.recursive_pipeline.RecursivePipelineModel.stages"]], "covered (coverageresult attribute)": [[480, "sparknlp.common.coverage_result.CoverageResult.covered"]], "percentage (coverageresult attribute)": [[480, "sparknlp.common.coverage_result.CoverageResult.percentage"]], "total (coverageresult attribute)": [[480, "sparknlp.common.coverage_result.CoverageResult.total"]], "annotators (in module sparknlp)": [[489, "sparknlp.annotators"]], "embeddings (in module sparknlp)": [[489, "sparknlp.embeddings"]], "java_obj (extendedjavawrapper attribute)": [[492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.java_obj"]], "sc (extendedjavawrapper attribute)": [[492, "sparknlp.internal.extended_java_wrapper.ExtendedJavaWrapper.sc"]], "comet_ml (in module sparknlp.logging.comet)": [[496, "sparknlp.logging.comet.comet_ml"]], "comet_mode (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.comet_mode"]], "experiment (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.experiment"]], "experiment_id (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.experiment_id"]], "experiment_kwargs (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.experiment_kwargs"]], "project_name (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.project_name"]], "thread (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.thread"]], "workspace (cometlogger attribute)": [[496, "sparknlp.logging.comet.CometLogger.workspace"]], "spark (partition attribute)": [[499, "sparknlp.partition.partition.Partition.spark"]], "light_model (pretrainedpipeline attribute)": [[503, "sparknlp.pretrained.pretrained_pipeline.PretrainedPipeline.light_model"]], "spark (sparknlpreader attribute)": [[513, "sparknlp.reader.sparknlp_reader.SparkNLPReader.spark"]], "sparknlp.training.tfgraphs": [[520, "module-sparknlp.training.tfgraphs"]], "tf_graph (in module sparknlp.training.tfgraphs)": [[520, "sparknlp.training.tfgraphs.tf_graph"]], "tf_graph_1x (in module sparknlp.training.tfgraphs)": [[520, "sparknlp.training.tfgraphs.tf_graph_1x"]]}}) \ No newline at end of file diff --git a/docs/api/python/static/documentation_options.js b/docs/api/python/static/documentation_options.js index 1332b9a2ec54fb..c15c5866644ad4 100644 --- a/docs/api/python/static/documentation_options.js +++ b/docs/api/python/static/documentation_options.js @@ -1,6 +1,6 @@ var DOCUMENTATION_OPTIONS = { URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), - VERSION: '6.1.5', + VERSION: '6.2.0', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/docs/api/python/third_party/Comet.html b/docs/api/python/third_party/Comet.html index daf81773aacd03..d31dbe812b461a 100644 --- a/docs/api/python/third_party/Comet.html +++ b/docs/api/python/third_party/Comet.html @@ -8,7 +8,7 @@ - Comet - A meta machine learning platform — Spark NLP 6.1.5 documentation + Comet - A meta machine learning platform — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/third_party/MLflow.html b/docs/api/python/third_party/MLflow.html index 798634b46996c8..f7f6ff3f2be1ef 100644 --- a/docs/api/python/third_party/MLflow.html +++ b/docs/api/python/third_party/MLflow.html @@ -8,7 +8,7 @@ - MLflow - a platform for the machine learning lifecycle — Spark NLP 6.1.5 documentation + MLflow - a platform for the machine learning lifecycle — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/third_party/index.html b/docs/api/python/third_party/index.html index b1a5788c692a4a..d7c12ce093ad51 100644 --- a/docs/api/python/third_party/index.html +++ b/docs/api/python/third_party/index.html @@ -8,7 +8,7 @@ - Third Party Projects — Spark NLP 6.1.5 documentation + Third Party Projects — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/annotation.html b/docs/api/python/user_guide/annotation.html index f407c6e4903d5b..24fb8aac3e4de7 100644 --- a/docs/api/python/user_guide/annotation.html +++ b/docs/api/python/user_guide/annotation.html @@ -8,7 +8,7 @@ - Annotation — Spark NLP 6.1.5 documentation + Annotation — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/annotators.html b/docs/api/python/user_guide/annotators.html index 6e188565ef93a5..f231cb3aa3c364 100644 --- a/docs/api/python/user_guide/annotators.html +++ b/docs/api/python/user_guide/annotators.html @@ -8,7 +8,7 @@ - Annotators — Spark NLP 6.1.5 documentation + Annotators — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/custom_pipelines.html b/docs/api/python/user_guide/custom_pipelines.html index dad4237fcf2a36..f9c9431c2a1fe1 100644 --- a/docs/api/python/user_guide/custom_pipelines.html +++ b/docs/api/python/user_guide/custom_pipelines.html @@ -8,7 +8,7 @@ - Setting up your own pipeline — Spark NLP 6.1.5 documentation + Setting up your own pipeline — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/helpers.html b/docs/api/python/user_guide/helpers.html index 1d16f5b4676772..4938f208ca517e 100644 --- a/docs/api/python/user_guide/helpers.html +++ b/docs/api/python/user_guide/helpers.html @@ -8,7 +8,7 @@ - Helper Functions — Spark NLP 6.1.5 documentation + Helper Functions — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/index.html b/docs/api/python/user_guide/index.html index 564e0c685ca8a7..fdf24186ed5c49 100644 --- a/docs/api/python/user_guide/index.html +++ b/docs/api/python/user_guide/index.html @@ -8,7 +8,7 @@ - User Guide — Spark NLP 6.1.5 documentation + User Guide — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/light_pipelines.html b/docs/api/python/user_guide/light_pipelines.html index d0e08e07c2f9c7..cea8e27ae89fe8 100644 --- a/docs/api/python/user_guide/light_pipelines.html +++ b/docs/api/python/user_guide/light_pipelines.html @@ -8,7 +8,7 @@ - Light Pipelines — Spark NLP 6.1.5 documentation + Light Pipelines — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/pretrained_pipelines.html b/docs/api/python/user_guide/pretrained_pipelines.html index 8bd6f50a17099a..6428ec7524706f 100644 --- a/docs/api/python/user_guide/pretrained_pipelines.html +++ b/docs/api/python/user_guide/pretrained_pipelines.html @@ -8,7 +8,7 @@ - Pretrained Pipelines — Spark NLP 6.1.5 documentation + Pretrained Pipelines — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/python/user_guide/training.html b/docs/api/python/user_guide/training.html index 398cdf025ab68a..df34ffae6cbf31 100644 --- a/docs/api/python/user_guide/training.html +++ b/docs/api/python/user_guide/training.html @@ -8,7 +8,7 @@ - Loading datasets for training — Spark NLP 6.1.5 documentation + Loading datasets for training — Spark NLP 6.2.0 documentation @@ -37,7 +37,7 @@ - + @@ -124,8 +124,8 @@ - Spark NLP 6.1.5 documentation - Home - + Spark NLP 6.2.0 documentation - Home + diff --git a/docs/api/scala/collection/compat/index.html b/docs/api/scala/collection/compat/index.html index df94edc0045338..c79a3d6abfddf6 100644 --- a/docs/api/scala/collection/compat/index.html +++ b/docs/api/scala/collection/compat/index.html @@ -3,9 +3,9 @@ - Spark NLP 6.1.5 ScalaDoc - scala.collection.compat - - + Spark NLP 6.2.0 ScalaDoc - scala.collection.compat + + @@ -28,7 +28,7 @@