📄 mdlcriterion.java
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/*
* YALE - Yet Another Learning Environment
* Copyright (C) 2001-2004
* Simon Fischer, Ralf Klinkenberg, Ingo Mierswa,
* Katharina Morik, Oliver Ritthoff
* Artificial Intelligence Unit
* Computer Science Department
* University of Dortmund
* 44221 Dortmund, Germany
* email: yale-team@lists.sourceforge.net
* web: http://yale.cs.uni-dortmund.de/
*
* 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 2 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, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
* USA.
*/
package edu.udo.cs.yale.operator.performance;
import edu.udo.cs.yale.tools.math.Averagable;
import edu.udo.cs.yale.example.Example;
import edu.udo.cs.yale.example.ExampleSet;
import edu.udo.cs.yale.example.AttributeWeightedExampleSet;
import edu.udo.cs.yale.operator.OperatorException;
/** Measures the length of an example set (i.e. the number of attributes).
*
* @version $Id: MDLCriterion.java,v 2.4 2004/08/27 11:57:43 ingomierswa Exp $
*/
public class MDLCriterion extends MeasuredPerformance {
/** The length of this example set. */
private int length;
public String getName() { return "mdl"; }
public String getDescription() {
return "Measures the length of an example set (i.e. the number of attributes).";
}
public void startCounting(ExampleSet eSet) throws OperatorException {
super.startCounting(eSet);
if (eSet instanceof AttributeWeightedExampleSet) {
this.length = ((AttributeWeightedExampleSet)eSet).getNumberOfUsedAttributes();
} else {
this.length = eSet.getNumberOfAttributes();
}
}
public void countExample(Example example) {}
public double getFitness() {
return 1.0d / (double)length;
}
public double getValue() { return length; }
public double getVariance() { return 0.0d; }
public void cloneAveragable(Averagable other) {
this.length = ((MDLCriterion)other).length;
}
}
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