Release 0.2.4 #200
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Release 0.2.4 #200
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for resolving the scope
* destructure lambda function args * don't use zip(): mapreduce support multi-arg functions
avoids full evalulation when the end result is known
use dict for faster observed-to-specified matches
* introduce ArrayParamsMap type for clarity * annotate types of the corresp. RAMMatrices fields * remove cartesian indexing since it is not used * rename get_parameter_indices() into array_parameters_map() * use the single pass over the array for performance
to match julia naming convention
no declarations, so import is not required
Misc. fixes
reuse sigma^{-1}*sigma_0 product
* use sorted searches * use dict to map indicator to param index
* extract common code to calculate_lambda() * use 3-arg dot() * use in-place ops
avoid unnecessary allocations
* use eachcol() within comprehension
if the series don't converge
as symbolic Neumann series is a very comp.intensive operation
don't allow missing n_obs
* convert to param_range() which gets the range for a single matrix * use findfirst/findlast() instead of manual loop
* rename from get_matrix_derivative(): it's not a getter, and gradient is a better term * construct sparse matrix directly, which is much more efficient * parameters arg is not needed
Misc.Fixes 2
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