scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- LogisticRegression coefficients should be stored in column major order to improve sparse inference performance.
- Specify the constraints for `metric="precomputed"`
- TST use global_random_seed in sklearn/cluster/tests/test_spectral.py
- [MRG] Add probabilistic estimates to HistGradientBoostingRegressor
- Allow directly passing in responsibilities to GMM
- ENH Make GMM initialization more robust and easily user customizeable
- [WIP] first step in fixing minimum 2 required samples for fixing MLPRegressor attribute error
- Gaussian process `log_marginal_likelihood()` `theta` parameter: pass as `log(theta)`?
- Graph metaestimators with a builder API
- PCA crashes when fit to large array
- Docs
- Python not yet supported