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@chukarsten chukarsten released this 10 Sep 21:03
· 857 commits to main since this release
v0.32.1
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Learn about vigilant mode.

v0.32.1 Sep. 10, 2021

Enhancements

  • Added verbose flag to AutoMLSearch to run search in silent mode by default #2645
  • Added label encoder to XGBoostClassifier to remove the warning #2701
  • Set eval_metric to logloss for XGBoostClassifier #2741
  • Added support for woodwork versions 0.7.0 and 0.7.1 #2743
  • Changed explain_predictions functions to display original feature values #2759
  • Added X_train and y_train to graph_prediction_vs_actual_over_time and get_prediction_vs_actual_over_time_data #2762
  • Added forecast_horizon as a required parameter to time series pipelines and AutoMLSearch #2697
  • Added predict_in_sample and predict_proba_in_sample methods to time series pipelines to predict on data where the target is known, e.g. cross-validation #2697

Fixes

  • Fixed bug where _catch_warnings assumed all warnings were PipelineNotUsed #2753
  • Fixed bug where Imputer.transform would erase ww typing information prior to handing data to the SimpleImputer #2752
  • Fixed bug where Oversampler could not be copied #2755

Changes

  • Deleted drop_nan_target_rows utility method #2737
  • Removed default logging setup and debugging log file #2645
  • Changed the default n_jobs value for XGBoostClassifier and XGBoostRegressor to 12 #2757
  • Changed TimeSeriesBaselineEstimator to only work on a time series pipeline with a DelayedFeaturesTransformer #2697
  • Added X_train and y_train as optional parameters to pipeline predict, predict_proba. Only used for time series pipelines #2697
  • Added training_data and training_target as optional parameters to explain_predictions and explain_predictions_best_worst to support time series pipelines #2697
  • Changed time series pipeline predictions to no longer output series/dataframes padded with NaNs. A prediction will be returned for every row in the X input #2697

Documentation Changes

  • Specified installation steps for Prophet #2713
  • Added documentation for data exploration on data check actions #2696
  • Added a user guide entry for time series modelling #2697

Testing Changes

  • Fixed flaky TargetDistributionDataCheck test for very_lognormal distribution #2748

Breaking Changes

  • Removed default logging setup and debugging log file #2645
  • Added X_train and y_train to graph_prediction_vs_actual_over_time and get_prediction_vs_actual_over_time_data #2762
  • Added forecast_horizon as a required parameter to time series pipelines and AutoMLSearch #2697
  • Changed TimeSeriesBaselineEstimator to only work on a time series pipeline with a DelayedFeaturesTransformer #2697
  • Added X_train and y_train as required parameters for predict and predict_proba in time series pipelines #2697
  • Added training_data and training_target as required parameters to explain_predictions and explain_predictions_best_worst for time series pipelines #2697
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