Artifacts using multisearch-weka-package version 2017.10.1

This project provides utils to deal with machine learning tasks. Especially it gives support to work with standard ML libraries in Java.

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.

Module for WEKA code (long term support).

A MEKA fork which allows to interrupt training and prediction procedures of the models.

The package implements the multi-search module for the mulan package.