scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- add 'most_frequent' drop method to OneHotEncoder
- add separator argument to OneHotEncoder get_feature_names method
- Bug: VotingClassifier does not support estimators using class_weight
- Adding sequential Information Bottleneck (sIB)
- RandomForestRegressor quantile Criterion
- Ward linkage ValueError with l2 affinity (Agglomerative Clustering)
- [MRG] ComplementNB with class priors when computing joint log-likelihoods (Trac : #14523, #14444)
- Save training and vaildation loss in `loss_curve_` in MLPClassifier and MLPRegressor with early_stopping
- Extend binary clf metrics (precision recall, roc, etc...) to handle nuances of detection problems
- FEA Add cumulative gain curve metric
- Docs
- Python not yet supported