meka.core.MultiLabelDrawable Maven / Gradle / Ivy

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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 .
 */

package meka.core;

import java.util.Map;

/**
 * Interface for classes that generate graphs per label.
 *
 * @author fracpete
 */
public interface MultiLabelDrawable {
	int NOT_DRAWABLE = 0, TREE = 1, BayesNet = 2, Newick = 3;

	/**
	 * Returns the type of graph representing
	 * the object.
	 *
	 * @return the type of graph representing the object (label index as key)
	 */
	public Map graphType();

	/**
	 * Returns a string that describes a graph representing
	 * the object. The string should be in XMLBIF ver.
	 * 0.3 format if the graph is a BayesNet, otherwise
	 * it should be in dotty format.
	 *
	 * @return the graph described by a string (label index as key)
	 * @throws Exception if the graph can't be computed
	 */
	public Map graph() throws Exception;
}