📄 estimatedperformance.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;
/**
* This class is used to store estimated performance values <b>before</b> an actual
* performance test is done using a test set.
* @version $Id: EstimatedPerformance.java,v 2.12 2004/08/27 11:57:43 ingomierswa Exp $
*/
public class EstimatedPerformance extends PerformanceCriterion {
private String name;
private double value;
private double exampleCount = 1;
private boolean reciprocalFitness;
/** Clone constructor. */
public EstimatedPerformance() {}
/** Constructs a new extimated performance criterion.
* @param name Human readable name
* @param value The Value of the performance criterion
* @param numberOfExamples The number of examples used to estimate this value.
* @param reciprocalFitness Indicates whether or not the reciprocal value should be used as fitness value.
*/
public EstimatedPerformance(String name,
double value,
int numberOfExamples,
boolean reciprocalFitness) {
this.name = name;
setValue(value, numberOfExamples);
this.reciprocalFitness = reciprocalFitness;
}
public double getVariance() { return Double.NaN; }
/** Sets the value of this estimated performance criterion.
* @param value The Value of the performance criterion
* @param numberOfExamples The number of examples used to estimate this value. It is used
* for calculateing the average. */
public void setValue(double value, int numberOfExamples) {
this.value = value * numberOfExamples;
this.exampleCount = numberOfExamples;
}
public double getValue() {
return value / exampleCount;
}
/** Returns the fitness. */
public double getFitness() {
if (reciprocalFitness) {
if (getValue() == 0d) return Double.POSITIVE_INFINITY;
return 1/getValue();
} else {
return getValue();
}
}
/**
* Returns the name of this estimated performance criterion, which can be
* set using <tt>setName()</tt>.
*
* @return The name.
*/
public String getName() {
return name;
}
protected void cloneAveragable(Averagable other) {
//super.cloneAveragable(other);
EstimatedPerformance ep = (EstimatedPerformance)other;
this.name = ep.name;
this.reciprocalFitness = ep.reciprocalFitness;
this.exampleCount = ep.exampleCount;
this.value = ep.value;
}
public void buildAverage(Averagable performance) {
super.buildAverage(performance);
EstimatedPerformance other = (EstimatedPerformance)performance;
if (!other.name.equals(this.name))
throw new RuntimeException("Cannot build average of different criterion types ("+this.getName()+"/"+other.getName()+").");
this.exampleCount += other.exampleCount;
this.value += other.value;
}
}
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