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.

0.5.10

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.

0.5.9

Simplified combined fairness and predictive accuracy metrics to use a linear combination.

0.5.8

• schema changes for autoai_ts_libs.
• partial_fit for a pipeline.
• diff of pipelines.
• some fixes and other changes.
• fixes for autoai_ts_libs.

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.