Version 0.7.0

Changelog

Maintenance

Ensure that imblearn.pipeline.Pipeline is working when memory is activated and joblib==0.11. 687 by Christos Aridas <chkoar>.
Refactor common test to use the dev tools from scikit-learn 0.23. 710 by Guillaume Lemaitre <glemaitre>.
Remove FutureWarning issued by scikit-learn 0.23. 710 by Guillaume Lemaitre <glemaitre>.

Changed models

The following models might give some different results due to changes:

imblearn.ensemble.BalancedRandomForestClassifier

Bug fixes

Change the default value min_samples_leaf to be consistent with scikit-learn. 711 by zerolfx <zerolfx>.
Fix a bug due to change in scikit-learn 0.23 in imblearn.metrics.make_index_balanced_accuracy. The function was unusable. 710 by Guillaume Lemaitre <glemaitre>.
Raise a proper error message when only numerical or categorical features are given in imblearn.over_sampling.SMOTENC. 720 by Guillaume Lemaitre <glemaitre>.

Enhancements

The classifier implemented in imbalanced-learn, imblearn.ensemble.BalancedBaggingClassifier, imblearn.ensemble.BalancedRandomForestClassifier, imblearn.ensemble.EasyEnsembleClassifier, and imblearn.ensemble.RUSBoostClassifier, accept sampling_strategy with the same key than in y without the need of encoding y in advance. 718 by Guillaume Lemaitre <glemaitre>.
Lazy import keras module when importing imblearn.keras 719 by Guillaume Lemaitre <glemaitre>.

Deprecation

Deprecation of the parameters n_jobs in imblearn.under_sampling.ClusterCentroids since it was used by sklearn.cluster.KMeans which deprecated it. 710 by Guillaume Lemaitre <glemaitre>.