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

[Startup Hire]

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.
>
> 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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>>
>
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