Quick Start#

To get started, download MEKA and run ./run.sh (run.bat on Windows) to launch the GUI.

MEKA Tutorial#

The MEKA tutorial (pdf) has numerous examples on how to run and extend MEKA.

Note also the manuscript MEKA: A Multi-label/Multi-target Extension to WEKA introducing the MEKA farmework.

See a list of the most common methods available in MEKA, and (command-line) examples on how to use them. More method-specific details can be found in the links below.

There are also some examples on how to use Meka in your own Java code.

Multi-label References and Links#

MEKA originated from implementations of work from various publications (note also the references therein). There are some tutorials/slides about multi-label and multi-target classification in general.

Note other software that uses MEKA:

• ADAMS framework - integrates MEKA into workflows
• MOA environment for data streams can use Updateable MEKA classifiers
• scikit-multilearn can interface to MEKA in Python
• KNIME framework, includes a plugin to integrate Meka Classifiers into workflows
• DKPro Text Classification Framework
• scikit-multiflow uses multi-label classifiers in Python

and other multi-label links:

• Scikit MultiFlow
• MULAN Framework for Multi-label Classification
• Mulan Multi-label Group from the Machine Learning and Knowledge Discovery Group in the Aristotle University of Thessaloniki.

Getting Help#

Have a specific problem or query? Then create an issue on our Github project page (but please search beforehand whether not someone already asked the same question):

github.com/Waikato/meka/issues

NB: Avoid contacting developers directly for MEKA-related help.

Bugs#

A list of current issues in Meka (known bugs, planned improvements, feature wishlist) can be found at github.com/Waikato/meka/issues. Please add one if you believe you have another (but please check first to make sure it hasn't been raised already!)

Participating#

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 (add a feature, improve some existing code), or help with any of the existing issues, please get in touch with the developers.