scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- BUG: segfaults in testsuite with PyPy on ppc64le
- Output of OneHotEncoder fed into CCA throws ValueError: The output of the '<pipeline_name>' transformer should be 2D (scipy matrix, array, or pandas DataFrame).
- make_regression should include categorical variables with weights
- Random state seed parameter for agglomerative clustering
- Reuse cache-aligned euclidean_distances in distance trees
- Harmonize the "full" (`PCA`) vs "dense" (`KernelPCA`) names for `eigen_solver` parameter
- fit_interncept in nonlinear svm
- Tutorial on warmstart grid search for multiple classifiers
- SVC with ADABoosting
- Choose first feature to use in Tree and/or choose the order of features to use in the Tree
- Docs
- Python not yet supported