THOMASXe / meka

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

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,

• See the Tutorial.pdf for detailed information on obtaining, using and extending MEKA.
• For a list of included methods and command line examples for them, see: http://meka.sourceforge.net/methods.html
• For examples on how to use MEKA in your Java code: https://github.com/Waikato/meka/tree/master/src/main/java/mekaexamples

If you have a specific question, ask on Meka's mailing list

• Check if it is already answered: http://sourceforge.net/mailarchive/forum.php?forum_name=meka-list
• Write it to [e-mail]

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.