[scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn 0.19.0

[bthirion]

+1 B

On 25/08/2017 07:52, Gael Varoquaux wrote:
> Indeed, congratulations for the release!
>
> Gaël
>
> On Fri, Aug 25, 2017 at 02:13:26PM +1000, Joel Nothman wrote:
>> Congratulations Guillaume and the imblearn team!
>> On 25 August 2017 at 10:14, Guillaume Lemaître <g.lemaitre58 at gmail.com> wrote:
>>      We are excited to announce the new release of the scikit-learn-contrib
>>      imbalanced-learn, already available through conda and pip (cf. the
>>      installation page https://tinyurl.com/y92flbab for more info)
>>      Notable add-ons are:
>>      * Support of sparse matrices
>>      * Support of multi-class resampling for all methods
>>      * A new BalancedBaggingClassifier using random under-sampling chained with
>>      the scikit-learn BaggingClassifier
>>      * Creation of a didactic user guide
>>      * New API of the ratio parameter to fit the needs of multi-class resampling
>>      * Migration from nosetests to pytest
>>      You can check the full changelog at:
>>      http://contrib.scikit-learn.org/imbalanced-learn/stable/whats_new.html#
>>      version-0-3
>>      A big thank you to contributors to use, raise issues, and submit PRs to
>>      imblearn.