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Enhanced the DateTimeFeaturizer to handle NaNs in date features #2909
Added support for woodwork logical types PostalCode, SubRegionCode, and CountryCode in model understanding tools #2946
Added Vowpal Wabbit regressor and classifiers #2846
Fixes
Fixed bug where partial dependence was not respecting the ww schema #2929
Fixed calculate_permutation_importance for datetimes on StandardScaler#2938
Fixed SelectColumns to only select available features for feature selection in DefaultAlgorithm#2944
Fixed DropColumns component not receiving parameters in DefaultAlgorithm#2945
Fixed bug where trained binary thresholds were not being returned by get_pipeline or clone#2948
Fixed bug where Oversampler selected ww logical categorical instead of ww semantic category #2946
Changes
Changed make_pipeline function to place the DateTimeFeaturizer prior to the Imputer so that NaN dates can be imputed #2909
Refactored OutliersDataCheck and HighlyNullDataCheck to add more descriptive metadata #2907
Documentation Changes
Added back Future Release section to release notes #2927
Updated CI to run doctest (docstring tests) and apply necessary fixes to docstrings #2933
Added documentation for BinaryClassificationPipeline thresholding #2937
Testing Changes
Fixed dependency checker to catch full names of packages #2930
Refactored build_conda_pkg to work from a local recipe #2925
Breaking Changes
Standardized data check messages and added default "rows" and "columns" to data check message details dictionary. This may change the number of messages returned from a data check. #2869