Version 0.5.1

v0.5.1 - 2024-02-08

Added

• Added new __init__ parameter: interaction_smoothing_rounds
• Added new __init__ parameter: min_hessian
• synthetic dataset generator (make_synthetic) for testing GAMs and for documentation

Changed

• default parameters have been modified to improve the accuracy of EBMs
• changed boosting internals to use LogitBoost to improve accuracy
• changed interaction detection to use hessians to improve interaction selection
• enabled smoothing_rounds by default to improve the smoothness of EBMs
• added the ability to specify interactions via feature names or negative indexing
• improved the speed of Morris sensitivity and partial dependence
• python 3.12 support for core EBMs. Some of our optional dependencies do not yet support python 3.12 though
• made early stopping more consistent and changed the early_stopping_tolerance to be a percentage

Fixed

• avoid displaying a scroll bar by default in jupyter notebook cells
• removed the dependency on deprecated distutils

Breaking Changes

• changed the internal representation for classifiers that have just 1 class