Hi everyone, We are pleased to announce that three new projects recently joined scikit-learn-contrib!
* imbalanced-learn: https://github.com/scikit-learn-contrib/imbalanced-learn Python module to perform under sampling and over sampling with various techniques. * polylearn: https://github.com/scikit-learn-contrib/polylearn Factorization machines and polynomial networks for classification and regression in Python. * forest-confidence-interval: https://github.com/scikit-learn-contrib/forest-confidence-interval Confidence intervals for scikit-learn forest algorithms. We thank the respective authors for their neat contribution to the scikit-learn ecosystem! Cheers, Mathieu
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