scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- f_regression takes square root of negative values when constant columns are present
- Add Contrastive Pessimistic Likelihood Estimation (CPLE) as semi-supervised learning method to LabelPropagation
- Proposal: Indices for Clustering.
- OneHotEncoder doesn't handle columns with mix of string and int
- [MRG] New feature: SamplingImputer
- Support large sparse matrices in SVC/SVR
- Add sample weights to calibration curve
- Score Function as a metric for unsupervised clustering algorithms in Scikit-Learn
- Support large sparse matrices in SGD* and SequentialDataset
- Only Fit is parallelized for OneVsRestClassifier
- Docs
- Python not yet supported