Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
Project description
imbalanced-learn
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.
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Installation documentation, API documentation, and examples can be found on the documentation.
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