scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- FEA Ensemble selection from Librairies of Models
- Improvement for Gaussian NB by rethinking the variance smoothing
- verbose_feature_names_out default value
- `See also` section for `pairwise_distances` and `paired_distances` does not link to referenced documentation.
- AttributeError: 'MLPRegressor' object has no attribute '_best_coefs'
- EHN accept l2 metric with ward linkage in agglomeration clustering
- suggestion to move (copy?) binder button for example to top or right side bar
- Improving stratification in StratifiedGroupKFold
- New algorithm: DP-Means
- TransformedTargetRegressor is incompatible with GaussianProcessRegressor when using return_std=True
- Docs
- Python not yet supported