v0.42.0

v0.42.0 Jan. 20, 2022

Enhancements

• Required the separation of training and test data by gap + 1 units to be verified by time_index for time series problems #3208
• Added support for boolean features for ARIMARegressor #3187
• Updated dependency bot workflow to remove outdated description and add new configuration to delete branches automatically #3212
• Added n_obs and n_splits to TimeSeriesParametersDataCheck error details #3246

Fixes

• Fixed classification pipelines to only accept target data with the appropriate number of classes #3185
• Added support for time series in DefaultAlgorithm #3177
• Standardized names of featurization components #3192
• Removed empty cell in text_input.ipynb #3234
• Removed potential prediction explanations failure when pipelines predicted a class with probability 1 #3221
• Dropped NaNs before partial dependence grid generation #3235
• Allowed prediction explanations to be json-serializable #3262
• Fixed bug where InvalidTargetDataCheck would not check time series regression targets #3251
• Fixed bug in are_datasets_separated_by_gap_time_index #3256

Changes

• Raised lowest compatible numpy version to 1.21.0 to address security concerns #3207
• Changed the default objective to MedianAE from R2 for time series regression #3205
• Removed all-nan Unknown to Double logical conversion in infer_feature_types #3196
• Checking the validity of holdout data for time series problems can be performed by calling pipelines.utils.validate_holdout_datasets prior to calling predict #3208

Documentation Changes

Testing Changes

Breaking Changes

• Renamed DateTime Featurizer Component to DateTime Featurizer and Natural Language Featurization Component to Natural Language Featurizer #3192