Releases
v0.63.0
v0.63.0 Nov. 23, 2022
Enhancements
Added fast mode to partial dependence #3753
Added the ability to serialize featuretools features into time series pipelines #3836
Fixes
Fixed TimeSeriesFeaturizer
potentially selecting lags outside of feature engineering window #3773
Fixed bug where TimeSeriesFeaturizer
could not encode Ordinal columns with non numeric categories #3812
Updated demo dataset links to point to new endpoint #3826
Updated STLDecomposer
to infer the time index frequency if it's not present #3829
Updated _drop_time_index
to move the time index from X to both X.index
and y.index
#3829
Added TimeSeriesPipeline.should_skip_featurization
to fix bug where data would get featurized unnecessarily #3849
Fixed bug where engineered features lost their origin attribute in partial dependence, causing it to fail #3830
Fixed bug where partial dependence's fast mode handling for the DFS Transformer wouldn't work with multi output features #3830
Allowed target to be present and ignored in partial dependence's DFS Transformer fast mode handling #3830
Changes
Consolidated decomposition frequency validation logic to Decomposer
class #3811
Removed Featuretools version upper bound and prevent Woodwork 0.20.0 from being installed #3813
Updated min Featuretools version to 0.16.0, min nlp-primitives version to 2.9.0 and min Dask version to 2022.2.0 #3823
Rename issue templates config.yaml to config.yml #3844
Documentation Changes
Added information about STL Decomposition to the time series docs #3835
Removed RTD failure on warnings #3864
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