scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Cloned estimators have identical randomness but different RNG instances
- RandomForest not passing feature names to trees and creating warnings.
- HistGradientBoosting counts and sample weights
- FEA add TunedThresholdClassifier meta-estimator to post-tune the cut-off threshold
- HalvingRandomSearchCV and HalvingGridSearchCV do not support multimetric scoring.
- Rename quantile parameter in QuantileRegressor and HistGradientBoostingRegressor
- FIX GroupShuffleSplit raises a ValueError for NaN
- RFC/API (Array API) mixing devices and data types with estimators
- Use `np.uint8` as default dtype for `OneHotEncoder` instead of `np.float64`
- Store spectral embeddings in SpectralClustering
- Docs
- Python not yet supported