imbalanced-learn documentation#
Date: Dec 20, 2024 Version: 0.14.dev0
Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support
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.