Welcome to imbalanced-learn documentation!
.. toctree:: :maxdepth: 2 :hidden: :caption: Getting Started install
.. toctree:: :maxdepth: 2 :hidden: :caption: Documentation user_guide api
.. toctree:: :maxdepth: 2 :hidden: :caption: Tutorial - Examples auto_examples/index
.. toctree:: :maxdepth: 1 :hidden: :caption: Addtional Information whats_new about
Information to install, test, and contribute to the package.
The main documentation. This contains an in-depth description of all algorithms and how to apply them.
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.
A set of examples illustrating the use of the different algorithms. It complements the User Guide.
Log of the imbalanced-learn history.
Just to know about history of imbalanced-learn.
See the README for more information.