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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.

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/*
 *   This program is free software: you can redistribute it and/or modify
 *   it under the terms of the GNU General Public License as published by
 *   the Free Software Foundation, either version 3 of the License, or
 *   (at your option) any later version.
 *
 *   This program is distributed in the hope that it will be useful,
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *   GNU General Public License for more details.
 *
 *   You should have received a copy of the GNU General Public License
 *   along with this program.  If not, see .
 */

/**
 * MultiLabelClassifier.java
 * Copyright (C) 2015 University of Waikato, Hamilton, NZ
 */

package meka.classifiers.multilabel;

import weka.classifiers.Classifier;
import weka.classifiers.SingleClassifierEnhancer;
import weka.core.Instances;
import weka.core.OptionHandler;

/**
 * Interface for multi-label classifiers.
 *
 * @author FracPete (fracpete at waikato dot ac dot nz)
 * @version $Revision$
 */
public interface MultiLabelClassifierThreaded extends  MultiLabelClassifier{


	public boolean isThreaded() ;
	public void setThreaded(boolean setv) ;

public double[][] distributionForInstanceM(Instances i) throws Exception ;
}