imbalanced-learn documentationΒΆ

Date: May 25, 2021 Version: 0.9.0.dev0

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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.