[scikit-learn] Three new scikit-learn-contrib projects
blrstartuphire at gmail.com
Tue Jul 19 23:57:15 EDT 2016
Awesome! Thanks to the contributors
On Tue, Jul 19, 2016 at 9:44 PM, Nelson Liu <nfliu at uw.edu> wrote:
> 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
> scikit-learn mailing list
> scikit-learn at python.org
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