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The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.
Last Release on May 28, 2021
Directory bookmarks for the JFileChooser Swing component.
Last Release on May 4, 2016
A MEKA fork which allows to interrupt training and prediction procedures of the models.
Last Release on Jul 27, 2020