scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Opening the mutual information computation API for arbitrary variable sets
- FIX use correct formulation for ExpSineSquared kernel
- sklearn.tree.export_dict
- Adding user-provided validation data added to randomforest models other than using non selected indices from bootstrapping
- CategoricalNB : it needs to add proper treatment for unseen values in validation data (validation data has new values than train data )
- enable regression step coefs after fit
- LatentDirichletAllocation uses inconsistent normalization for test perplexity in the components_ variable
- Graph Spectral Embedding to sklearn/manifold
- StandardScaler with_mean=False fits mean_
- Should we use numpy qr rather than scipy's for faster decomposition when matrices are big ?
- Docs
- Python not yet supported