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build(deps): bump imbalanced-learn from 0.8.1 to 0.10.1
Bumps imbalanced-learn from 0.8.1 to 0.10.1.
Release notes
Sourced from imbalanced-learn's releases.
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 asget_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.
Version 0.9.1
Compatibility with scikit-learn 1.1.0
Version 0.9.0
Compatibility with scikit-learn 1.0.2
Commits
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