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Version 0.4.7:

Bug Fixes

• fix merge_categorical_columns when there are no cats
• Handle pandas option setting context in case it doesn't exist
• Remove is_categorical_dtype as it is getting deprecated

Bug Fixes

• should now work with the format of shap 0.45 that returns a three dimensional np.array instead of a list of 2-dimensional np.arrays for classifiers

Improvements

• Fixed several pandas warning about to be deprecated behaviours

• it seems numba and numpy are getting along better again

Bug Fixes

• Add warning to set shap_kwargs=dict(check_additivity=True) for skorch models, and switch this on for the tests.

Version 0.4.3:

New Features

• models that use kernel explainer but output multi-dimensional predictions such as PLSRegression are now supported. Predictions now get squeezed in the kernel function.

Bug Fixes

• Fixed bug with pandas v2, Pandas v2 now supported

Improvements

• Fixed a number of UserWarnings

Version 0.4.2.2:

• pins dependencies for flask-wtf>1.1, numpy<1.24 and pandas<2 while working to sort out some compatibility issues.

Version 0.4.2.1:

Bug Fixes

• tries to work around wonky index dropdown search bug introduced by latest dash release: https://github.com/plotly/dash/issues/2428
• Dropdown search now works again, but index propagation is still flaky when number of idxs > max_idxs_in_dropdown(1000 by default)
• displays warning to downgrade to dash 2.6.2 when this happens

Version 0.4.2:

Breaking Changes

• Now needs dtreeviz>2.1, due to the API change with version v2

Bug Fixes

• Fixed import and tree display bug with newer version of dtreeviz

• adds MANIFEST.in to include requirements.txt in the pypi upload, which should fix the conda package issue