scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- KernelDensity incorrect handling of bandwidth
- FEA Add a private `check_array` with additional parameters
- Simplify decision tree removing redundant decisions
- MLPR with solver='lbfgs', nonzero alpha doesn't make the same result from multiple run.
- MNT [engine-api] revert NotSupportedByEngineError feature and automatic catch in unit tests
- DOC improve EDA for `plot_cyclical_feature_engineering.py`
- KBinsDiscretizer creates wrong bins.
- set_config(transform_output="pandas") does not act on inverse_transform
- Importing BaseEstimator leads to unnecessary memory usage
- Add new manifold learning algorithm UMAP?
- Docs
- Python not yet supported