Version 0.6.2#

February 16, 2020

This is a bug-fix release to resolve some issues regarding the handling the input and the output format of the arrays.

Changelog#

Version 0.6.1#

December 7, 2019

This is a bug-fix release to primarily resolve some packaging issues in version 0.6.0. It also includes minor documentation improvements and some bug fixes.

Changelog#

Bug fixes#

Version 0.6.0#

December 5, 2019

Changelog#

Changed models#

The following models might give some different sampling due to changes in scikit-learn:

The following samplers will give different results due to change linked to the random state internal usage:

Bug fixes#

Maintenance#

  • Update imports from scikit-learn after that some modules have been privatize. The following import have been changed: sklearn.ensemble._base._set_random_states, sklearn.ensemble._forest._parallel_build_trees, sklearn.metrics._classification._check_targets, sklearn.metrics._classification._prf_divide, sklearn.utils.Bunch, sklearn.utils._safe_indexing, sklearn.utils._testing.assert_allclose, sklearn.utils._testing.assert_array_equal, sklearn.utils._testing.SkipTest. #617 by Guillaume Lemaitre.

  • Synchronize imblearn.pipeline with sklearn.pipeline. #620 by Guillaume Lemaitre.

  • Synchronize imblearn.ensemble.BalancedRandomForestClassifier and add parameters max_samples and ccp_alpha. #621 by Guillaume Lemaitre.

Enhancement#

Deprecation#