1. fit_transform for lale operators 2. partial_fit for xgboost and lightgbm 3. Minor fixes and updates to README.
0.6.16
Changed the version of black in setup.py compared to 0.6.15.
0.6.15
* Add support for scikit-learn 1.1 * Add lower and upper bound constraints for scikit-learn to help suggest recommended versions * Add support for newer versions of XGBoost
0.6.14
Updated metrics to handle y as DataFrame.
0.6.13
Release for the KDD'22 tutorial
0.6.12
Hands-on tutorials for KDD'22: https://github.com/IBM/lale/tree/master/examples/kdd22