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Meka

Multi-label classifiers and evaluation procedures using the Weka machine learning framework.

From Waikato·Updated May 17, 2026·View on GitHub·

The MEKA project provides an open source implementation of methods for multi-label learning and evaluation. The project is written primarily in Java, distributed under the GNU General Public License v3.0 license, first published in 2015. Key topics include: machine-learning, multi-label, multi-target, weka.

Latest release: meka-1.9.8Release v1.9.8
September 6, 2024View Changelog →

Meka

The MEKA project provides an open source implementation of methods for multi-label learning and evaluation.

http://waikato.github.io/meka/

Documentation

See http://waikato.github.io/meka/documentation/ for sources of documentation regarding MEKA.

In particular,

If you have a specific question, search the Github issues and, if you can't find
a solution, create an issue and label it as question:

https://github.com/Waikato/meka/issues

Bugs, and Future Enhancements

A list of current Issues in Meka (known bugs, planned improvements, feature wishlist)
can be found at https://github.com/Waikato/meka/issues

The Meka developers never have enough time to implement everything that should be in Meka.
If you would like to contribute something new to Meka, or help with any of the existing issues,
please get in touch with the developers.

Contributors

Showing top 6 contributors by commit count.

View all contributors on GitHub →

This article is auto-generated from Waikato/meka via the GitHub API.Last fetched: 6/14/2026