+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.lemaitr...@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.


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