imbalanced-learn documentation#
Date: Jul 08, 2023 Version: 0.11.0
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.
Getting started
Check out the getting started guides to install imbalanced-learn. Some extra information to get started with a new contribution is also provided.
User guide
The user guide provides in-depth information on the key concepts of imbalanced-learn with useful background information and explanation.
API reference
The reference guide contains a detailed description of the imbalanced-learn API. To known more about methods parameters.
Examples
The gallery of examples is a good place to see imbalanced-learn in action. Select an example and dive in.