scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Use common loss module in gradient boosting
- RFC 0% tolerance for Codecov patch
- Allow users to have custom PDP/ICE axes
- FIX minimum norm solution of unpenalized ridge / OLS when fit_intercept=True
- Visual improvements for ROC and precision-recall plots
- ENH add from_cv_results in RocCurveDisplay
- Potentially unsafe cast in sklearn.utils.multiclass.type_of_target
- FEA Introduce `PairwiseDistances`, a generic back-end for `pairwise_distances`
- Make complex numbers check optional in `BaseEstimator._validate_and_set_fit_params`
- average_precision_score() and roc_auc_score() require a full list of arguments
- Docs
- Python not yet supported