scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- [MRG] Add min_tpr parameter to roc_auc_score, allow both min_tpr and max_fpr
- Make Isomap to work with any precomputed neighborhood graph, at least radius_neighbors_graph
- FIX Ridge.coef_ return a single dimension array when target type is not continuous-multiple
- ENH Improve regularization messages for QuadraticDiscriminantAnalysis
- Introduce honest sampling into sklearn RandomForestClassifier
- Transform method for TSNE (different from the fit_transform already present)
- Ridge and Lasso return different shaped .coef_ attributes
- Adding min-max linkage to Agglomerative Clustering
- Pass the confusion matrix as a parameter
- Inconsistent behavior with bagging & base estimator class_weight
- Docs
- Python not yet supported