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Bug#893055: ITP: imbalanced-learn -- Python module to perform under sampling and over sampling with various techniques.




Package: wnpp
Severity: wishlist
Owner: Aggelos Avgerinos <evaggelos.avgerinos@xxxxxxxxx>

* Package name    : imbalanced-learn
  Version         : 0.3.2
  Upstream Author : Fernando M. F. Nogueira, Guillaume Lemaitre, Dayvid Victor
* URL             : https://github.com/scikit-learn-contrib/imbalanced-learn
* License         : MIT
  Programming Lang: Python
  Description     : Python module to perform under sampling and over sampling with various techniques.

  imbalanced-learn is a python package offering a number of re-sampling
  techniques commonly used in datasets showing strong between-class
  imbalance.

  It is compatible with scikit-learn and is part of
  scikit-learn-contrib projects.

  I intent to package and maintain it under the debian neuro team.