0.6.0

1. Schema changes for autoai_ts_libs.
2. partial_fit for a pipeline.
3. diff of pipelines.
4. Some fixes and other changes.

0.5.7

• Making pretty_print() more robust.
• Making fairness support more robust.

0.5.6

1. RASL operator implementation such as Filter, Aggregate, GroupBy, OrderBy etc.
2. Changes for ensembling experiments with lale.lib.aif360.
3. Refactoring of lale.lib.aif360 and creation of a new setup target fairness.
4. Customize schemas if the environment has sklearn 1.0.
5. Update of schema constraints based on the "weakest precondition" work.
6. Other changes and bug fixes.

0.5.5

1. Access to 2 multi-table datasets: go_sales and imdb.
2. Improvement in error messages
3. Support for predict_log_proba
4. Bug fixes

0.5.4

1. New StackingClassifier and StackingRegressor operators
2. Lale operators for autoai-ts-libs
3. New Join operator
4. Bug fixes

0.5.3

1. New datasets to lale.lib.aif360: SpeedDating, Boston housing, MEPS, Titanic, COMPAS, Teaching Assistant Evaluation, and Nursery
2. Improvements in documentation and schemas
3. Minor bug fixes
4. New curated schemas for IsoMap and IsolationForest

0.5.2

Added an option for timeout to grid search and halving grid search. Also removed codecov from our build due to a reported security issue with codecov.

0.5.1

Fixes and more changes for sklearn compatibility.

0.5.0

Added LinearSVR, removed BaseClassifier and regressor, and added support for get_params(deep=True).

0.4.15

Support for HalvingGridSearchCV and score. Improved documentation and scikit-learn wrappers.