The MEKA project provides an open source implementation of methods for multi-label learning and evaluation.
http://waikato.github.io/meka/
See http://waikato.github.io/meka/documentation/ for sources of documentation regarding MEKA.
In particular,
- See the
Tutorial.pdffor detailed information on obtaining, using and extending MEKA. - For a list of included methods and command line examples for them, see: http://waikato.github.io/meka/methods/
- 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, 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
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.