scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Revisit GaussianProcessRegressor for multioutput
- Warm starting as a "general trick"?
- AdaBoost (and others?) should allow not to normalize feature_importances_ at the learner level (and do so by default?)
- EHN Add transform_inverse to Nystroem
- Add a "Copy Import" button to the top of each importable module's documentation page
- ENH add parameter in accuracy_score for multilabel classification
- TST add common test to check support for bytes target
- Interactive Imputer cannot accept PLSRegression() as an estimator due to "shape mismatch"
- WIP KBinsDiscretizer supports NaN as input values
- KBinsDiscretizer doesn't handle NAs
- Docs
- Python not yet supported