+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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