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v0.65.0

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@christopherbunn christopherbunn released this 12 Jan 15:07
v0.65.0
4bc4c27

v0.65.0 Jan. 3, 2023

Enhancements

  • Added the ability to retrieve prediction intervals for estimators that support time series regression #3876
  • Added utils to handle the logic for threshold tuning objective and resplitting data #3888
  • Integrated OrdinalEncoder into AutoMLSearch #3765
  • Fixed DefaultAlgorithm adding an extra OneHotEncoder when a categorical column is not selected #3914

Fixes

  • Fixed ARIMA not accounting for gap in prediction from end of training data #3884

Changes

  • Added a threshold to DateTimeFormatDataCheck to account for too many duplicate or nan values #3883
  • Changed treatment of Boolean columns for SimpleImputer and ClassImbalanceDataCheck to be compatible with new Woodwork inference #3892
  • Split decomposer seasonal_period parameter into seasonal_smoother and period parameters #3896
  • Excluded catboost from the broken link checking workflow due to 403 errors #3899
  • Pinned scikit-learn version below 1.2.0 #3901
  • Cast newly created one hot encoded columns as bool dtype #3913

Documentation Changes

  • Hid non-essential warning messages in time series docs #3890

Testing Changes

Assets 2
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