scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Matthews correlation coefficient gives wrong results for single-class result
- Allow for passing additional parameters to the estimator's `fit` method in `SequentialFeatureSelector`
- Handling NaNs in NMF
- FIX fix and improve OutputCodeClassifier
- Mention that MLPRegressor can function as an autoencoder
- Segmentation fault occurs when KernelPCA is loaded after torchvision
- Unclear train_score_ attribute description for GradientBoostingClassifier
- ENH partial_dependece plot for HistGradientBoosting estimator fitted with `sample_weight`
- Sparse data representations results in worse models than dense data for some classifiers
- FIX improve error message when no samples are available in mutual information
- Docs
- Python not yet supported