scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Add per feature "maximum category" counts to `OrdinalEncoder`
- Introduce SIMD intrinsics for `_dist_metrics.pyx`
- [MRG] DOC GPs: log_marginal_likelihood() log(theta) input
- Allow NearestNeighbor radius_neighbors to accept an array for the `radius` keyword argument
- RFC 0% tolerance for Codecov patch
- FIX minimum norm solution of unpenalized ridge / OLS when fit_intercept=True
- Visual improvements for ROC and precision-recall plots
- ENH add from_cv_results in RocCurveDisplay
- Make complex numbers check optional in `BaseEstimator._validate_and_set_fit_params`
- TST random seed global /svm/tests/test_svm.py
- Docs
- Python not yet supported