Welcome to imbalanced-learn documentation!

Getting started

Information to install, test, and contribute to the package.

User Guide

The main documentation. This contains an in-depth description of all algorithms and how to apply them.

API Documentation

The exact API of all functions and classes, as given in the doctring. The API documents expected types and allowed features for all functions, and all parameters available for the algorithms.

Examples

A set of examples illustrating the use of the different algorithms. It complements the User Guide.

What’s new

Log of the imbalanced-learn history.

About imbalanced-learn

Just to know about history of imbalanced-learn.

See the README for more information.