v0.69.0

v0.69.0 Mar. 15, 2023

Enhancements

• Move black to regular dependency and use it for generate_pipeline_code #4005
• Implement generate_pipeline_example #4023
• Add new downcast utils for component-specific nullable type handling and begin implementation on objective and component base classes #4024
• Add nullable type incompatibility properties to the components that need them #4031
• Add get_evalml_requirements_file #4034
• Pipelines with DFS Transformers will run fast permutation importance if DFS features pre-exist #4037
• Add get_prediction_intervals() at the pipeline level #4052

Fixes

• Fixed generate_pipeline_example erroring out for pipelines with a DFSTransformer #4059
• Remove nullable types handling for OverSampler #4064

Changes

• Uncapped pmdarima and updated minimum version #4027
• Increase min catboost to 1.1.1 and xgboost to 1.7.0 to add nullable type support for those estimators #3996
• Unpinned networkx and updated minimum version #4035
• Increased scikit-learn version to 1.2.2 #4064
• Capped max holidays version to 0.21 #4064
• Stop allowing knn as a boolean impute strategy #4058
• Capped nbsphinx at < 0.9.0 #4071

Testing Changes

• Use release.yaml for performance tests on merge to main #4007
• Pin github-action-check-linked-issues at v1.4.5 #4042
• Updated tests to support Woodwork's object dtype inference for numeric columns #4066
• Updated TargetLeakageDataCheck tests to handle boolean targets properly #4066