scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Pass optional column names to parallel tree function in using the self.feature_names_in attribute.
- ENH reuse parent histogram in HGBT
- Add sampling uncertainty on precision-recall and ROC curves
- fix(areaScores): consistency b/w aupr auroc
- SLEP006: default routing
- LinearRegression with zero sample_weights is not the same as excluding those rows
- RFC BayesSearchCV in scikit-learn
- Cloned estimators have identical randomness but different RNG instances
- RandomForest not passing feature names to trees and creating warnings.
- HistGradientBoosting counts and sample weights
- Docs
- Python not yet supported