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Latest version: v0.4.8

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0.4.4

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

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

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.

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

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

0.4.1.1

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

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