scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- 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
- [Refactor, Tree] Python tree class for modularity and consistency of BaseEstimator
- 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.
- Docs
- Python not yet supported