V0.4.7: categorical bug fixes

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

v0.4.6.1: bump because pypi token expired

Update upload_to_pypi.yml

v0.4.6: compatibility with shap>0.45

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

v0.4.5: drop numpy<1.25 restriction

• it seems numba and numpy are getting along better again

v0.4.4: minor skorch check_additivity warning

Bug Fixes

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

v0.4.3: pandas v2 compatibility

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

v0.4.2.2: pin flask, numpy, pandas depencies

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.

V0.4.2.1: workaround for dropdown search bug in dash

Version 0.4.2.1:

Bug Fixes

• tries to work around wonky index dropdown search bug introduced by latest dash release: plotly/dash#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

explainerdashboard 0.4.2: dtreeviz v2 compatiblity

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

v0.4.1.1: conda package fix

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