Version 0.3.1

[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