[v0.3.1] - 2023-03-13
Added
- Mac m1 support in conda-forge
- SPOTGreedy prototype selection (PR #392)
Fixed
- fix visualization when both cloud and non-cloud environments are detected (PR #210)
- fix ShapTree bug where it was treating classifiers as regressors
- resolve scikit-learn warnings occurring when models were trained using Pandas DataFrames
- change the defaults to prefer 'continuous' over 'nominal' when a feature has 1 or 2 unique float64 values
Breaking Changes
- in the blackbox and greybox explainers, change from accepting a predict_fn to
accepting either a model or a predict_fn - feature type 'categorical' has been renamed to 'nominal' for the remaining
feature_type parameters in the package (EBMs were already using 'nominal') - removed the unused sampler parameters to the Explainer classes