0.6.9

1. rasl fixes
2. a fix for autoai_ts_libs
3. a change to Hyperopt's fit to accept a validation dataset.

0.6.8

1. Batching can handle an iterable or data loader without knowing n_batches.
2. XGBoost 1.6
3. pretty_print lists a list of external modules in wrap_imported_operators.

0.6.7

1. Batching changes to use task graphs
2. Removed autoai_ts_libs operators
3. BatchedTreeEnsemble estimators from SnapML
4. New rasl operators such as BatchedBaggingClassifier and HashingEncoder
5. Spilling in task graphs

0.6.6

1. Bug fixes
2. Improved interface for Monoids
3. Spilling in task graphs
4. multi-column index in SparkWithIndex

0.6.5

1. Fixes a regression (33d8972)
2. New lale.lib.rasl operators.

0.5.11

New release that delivers the string_indexer fix for 0.5.x.

0.6.4

Added a new operator lale.lib.autoai_libs.ColumnSelector.

0.6.3

Release with correct schema updates for xgboost 1.5.1.

0.6.2

A version that is fully tested (almost, without static checks) on Python 3.9.
Contains minor fixes compared to the previous version.

0.6.1

1. New RASL operators: MinMaxScaler, OrdinalEncoder and OneHotEncoder
2. Fixes and changes for autoai-ts-libs
3. Scikit-learn compatibility by creating a steps property on lale pipelines and a mechanism to forward attribute access.