[scikit-learn] Three new scikit-learn-contrib projects

[Nelson Liu]

Congrats! These look great, thanks to both the authors and the
scikit-learn-contrib organizers for putting this together.

Nelson

On Tue, Jul 19, 2016 at 9:09 AM Mathieu Blondel <mathieu at mblondel.org>
wrote:

> 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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