/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.features.weighting;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.learner.tree.Criterion;
import com.rapidminer.operator.learner.tree.InfoGainCriterion;
/**
* This operator calculates the relevance of a feature by computing the information gain in class distribution, if exampleSet would be splitted after
* the feature.
*
* @author Ingo Mierswa
* @version $Id: InfoGainWeighting.java,v 1.7 2008/05/09 19:23:22 ingomierswa Exp $
*/
public class InfoGainWeighting extends AbstractEntropyWeighting {
public InfoGainWeighting(OperatorDescription description) {
super(description);
}
public Criterion getEntropyCriterion() {
return new InfoGainCriterion();
}
}