imbalanced-learn 0.10.0

Changelog

Bug fixes

• Make sure that Substitution is working with python -OO that replaces doc by None. #953 bu Guillaume Lemaitre.

Compatibility

• Maintenance release for being compatible with scikit-learn >= 1.0.2. #946, #947, #949 by Guillaume Lemaitre.
• Add support for automatic parameters validation as in scikit-learn >= 1.2. #955 by Guillaume Lemaitre.
• Add support for feature_names_in_ as well as get_feature_names_out for all samplers. #959 by Guillaume Lemaitre.

Deprecation

• The parameter n_jobs has been deprecated from the classes ADASYN, BorderlineSMOTE, SMOTE, SMOTENC, SMOTEN, and SVMSMOTE. Instead, pass a nearest neighbors estimator where n_jobs is set. #887 by Guillaume Lemaitre.
• The parameter base_estimator is deprecated and will be removed in version 0.12. It is impacted the following classes: BalancedBaggingClassifier, EasyEnsembleClassifier, RUSBoostClassifier. #946 by Guillaume Lemaitre.

Enhancements

• Add support to accept compatible NearestNeighbors objects by only duck-typing. For instance, it allows to accept cuML instances. #858 by NV-jpt and Guillaume Lemaitre.