shapash
https://github.com/maif/shapash
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Shapash makes Machine Learning models transparent and understandable by everyone
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- Issues
- generate_report() crashes with ValueError when metrics is not provided
- fix: filter None values from report config to prevent ValueError
- Improve confusion matrix readability on imbalanced data
- Bug: Confusion matrix misinterprets integer class labels as continuous range
- Bug: Confusion matrix color scale not adapted for imbalanced datasets
- Remove numpy version limitation when numba supports numpy 2.4.x
- Add Contributions Projection Plot to the Shapash HTML Report
- Simplify color personalization
- Bug Report: Remove XGBoost < 3.1 constraint
- Extend Local Plot to Support Subset of Selected Instances
- Docs
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