v0.37.0

v0.37.0 Nov. 10, 2021

Enhancements

• Added find_confusion_matrix_per_threshold to Model Understanding #2972
• Limit computationally-intensive models during AutoMLSearch for certain multiclass problems, allow for opt-in with parameter allow_long_running_models #2982
• Added support for stacked ensemble pipelines to prediction explanations module #2971
• Added integration tests for data checks and data checks actions workflow #2883
• Added a change in pipeline structure to handle categorical columns separately for pipelines in DefaultAlgorithm #2986
• Added an algorithm to DelayedFeatureTransformer to select better lags #3005
• Added AutoML function to access ensemble pipeline's input pipelines IDs #3011

Fixes

• Fixed bug where Oversampler didn't consider boolean columns to be categorical #2980
• Fixed permutation importance failing when target is categorical #3017
• Updated estimator and pipelines' predict, predict_proba, transform, inverse_transform methods to preserve input indices #2979
• Updated demo dataset link for daily min temperatures #3023

Changes

• Updated OutliersDataCheck and UniquenessDataCheck and allow for the suspension of the Nullable types error #3018

Documentation Changes

• Fixed cost benefit matrix demo formatting #2990
• Update ReadMe.md with new badge links and updated installation instructions for conda #2998
• Added more comprehensive doctests #3002