[scikit-learn] Three new scikit-learn-contrib projects
nfliu at uw.edu
Tue Jul 19 12:14:15 EDT 2016
Congrats! These look great, thanks to both the authors and the
scikit-learn-contrib organizers for putting this together.
On Tue, Jul 19, 2016 at 9:09 AM Mathieu Blondel <mathieu at mblondel.org>
> Hi everyone,
> We are pleased to announce that three new projects recently joined
> * imbalanced-learn:
> Python module to perform under sampling and over sampling with various
> * polylearn: https://github.com/scikit-learn-contrib/polylearn
> Factorization machines and polynomial networks for classification and
> regression in Python.
> * forest-confidence-interval:
> Confidence intervals for scikit-learn forest algorithms.
> We thank the respective authors for their neat contribution to the
> scikit-learn ecosystem!
> scikit-learn mailing list
> scikit-learn at python.org
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