/**
* Copyright (C) 2001-2017 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.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.criterions.Criterion;
import com.rapidminer.operator.learner.tree.criterions.GainRatioCriterion;
/**
* This operator calculates the relevance of a feature by computing the information gain ratio for
* the class distribution (if exampleSet would have been splitted according to each of the given
* features).
*
* @author Ingo Mierswa
*/
public class InfoGainRatioWeighting extends AbstractEntropyWeighting {
public InfoGainRatioWeighting(OperatorDescription description) {
super(description);
}
@Override
public Criterion getEntropyCriterion() {
return new GainRatioCriterion(0);
}
}