Releases: oegedijk/explainerdashboard
Releases · oegedijk/explainerdashboard
V0.4.7: categorical bug fixes
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 includerequirements.txt
in the pypi upload, which should fix the conda package issue