Date: May 25, 2021 Version: 0.9.0.dev0
Imbalanced-learn (imported as
imblearn) is an open source, MIT-licensed
library relying on scikit-learn (imported as
sklearn) and provides tools
when dealing with classification with imbalanced classes.
Check out the getting started guides to install imbalanced-learn. Some extra information to get started with a new contribution is also provided.
The user guide provides in-depth information on the key concepts of imbalanced-learn with useful background information and explanation.
The reference guide contains a detailed description of the imbalanced-learn API. To known more about methods parameters.
The gallery of examples is a good place to see imbalanced-learn in action. Select an example and dive in.