scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Inconsistent behavior in averaging choices micro and samples.
- Stratify option for learning_curve
- MAINT Use Cython memoryviews
- Logistic regression prior adjustment during prediction when class_weight="balanced"
- Added support for not normalising OneVsRestClassifier predict_proba result
- Automatically force_all_finite=False in non-initial warm_start runs
- Mean centring issues in PCA/PLS when used in a Pipeline
- Support standard data science use-case
- Improve documentation: consistent scoring functions
- In macro-averaged multiclass precision, and recall, the default set of labels should come only from the target outputs (y_true) not from the predicted outputs (y_pred)
- Docs
- Python not yet supported