Test changing the default output distribution for the quantile scaler

mfeurer · mfeurer · commit f2658e97c87e · 2021-11-17T15:50:50.000+01:00
diff --git a/autosklearn/pipeline/components/data_preprocessing/rescaling/quantile_transformer.py b/autosklearn/pipeline/components/data_preprocessing/rescaling/quantile_transformer.py
@@ -58,7 +58,7 @@ def get_hyperparameter_search_space(dataset_properties: Optional[DATASET_PROPERT
             'n_quantiles', lower=10, upper=2000, default_value=1000
         )
         output_distribution = CategoricalHyperparameter(
-            'output_distribution', ['uniform', 'normal']
+            'output_distribution', ['normal', 'uniform']
         )
         cs.add_hyperparameters((n_quantiles, output_distribution))
         return cs

Original file line number	Diff line number	Diff line change
`@@ -58,7 +58,7 @@ def get_hyperparameter_search_space(dataset_properties: Optional[DATASET_PROPERT`
`58`	`58`	`'n_quantiles', lower=10, upper=2000, default_value=1000`
`59`	`59`	`)`
`60`	`60`	`output_distribution = CategoricalHyperparameter(`
`61`		`- 'output_distribution', ['uniform', 'normal']`
	`61`	`+ 'output_distribution', ['normal', 'uniform']`
`62`	`62`	`)`
`63`	`63`	`cs.add_hyperparameters((n_quantiles, output_distribution))`
`64`	`64`	`return cs`