scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Two different versions for weighted lorenz curve calculation in the examples
- Add metrics.gini_index_score()
- Update cluster metrics to handle edge cases.
- ENH add shuffle to GroupKFold
- Create estimators for inference only
- Allow `RandomForest*` and `ExtraTrees*` to have a higher max_samples than 1.0 when `bootstrap=True`
- [WIP] [POC] FEA public objective function methods in estimators
- FIX matthews_corrcoef returns zero for perfect prediction
- FIX `permutation_importance` with polars dataframe raises warning on feature names
- FEA Metadata routing for `SelfTrainingClassifier`
- Docs
- Python not yet supported