/*
* 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.performance;
import com.rapidminer.example.Example;
import com.rapidminer.tools.math.Averagable;
/**
* This criterion should be used as wrapper around other performance criteria
* (see {@link MinMaxWrapper}). Instead of averages this criterion builds the
* minimum of the fitness of the criteria which should be averaged. Maximizing
* the minimum instead of the average could lead to a more robust behaviour and
* generalization capacity. Furthermore, this criterion can be build arbitrarily
* weighted linear combinations of both the minimum and the normal average.
*
* @author Ingo Mierswa
* @version $Id: MinMaxCriterion.java,v 1.4 2008/05/09 19:22:43 ingomierswa Exp $
*/
public class MinMaxCriterion extends MeasuredPerformance {
private static final long serialVersionUID = 1739979152946602515L;
private MeasuredPerformance delegate;
private double fitness = Double.POSITIVE_INFINITY;
private double fitnessSum = 0.0d;
private double value = Double.NaN;
private double weight = 1.0d;
private int counter = 0;
/** Necessary for newInstance() during loading. */
public MinMaxCriterion() {}
public MinMaxCriterion(MeasuredPerformance delegate, double weight) {
this.delegate = delegate;
this.weight = weight;
if (!Double.isNaN(delegate.getFitness())) {
this.fitness = delegate.getFitness();
this.value = delegate.getMikroAverage();
counter++;
}
}
public MinMaxCriterion(MinMaxCriterion mmc) {
super(mmc);
this.delegate = mmc.delegate;
this.fitness = mmc.fitness;
this.fitnessSum = mmc.fitnessSum;
this.counter = mmc.counter;
this.weight = mmc.weight;
}
public double getExampleCount() {
return delegate.getExampleCount();
}
/** Counts a single example by invoking the delegates method. */
public void countExample(Example example) {
delegate.countExample(example);
}
/** Returns a description of the performance criterion. */
public String getDescription() {
return delegate.getDescription();
}
public String getName() {
return delegate.getName();
}
public double getMikroAverage() {
return weight * value + (1.0d - weight) * delegate.getMikroAverage();
}
public double getFitness() {
return weight * fitness + (1.0d - weight) * (fitnessSum / counter);
}
public double getMikroVariance() {
return Double.NaN;
}
public void buildSingleAverage(Averagable avg) {
MinMaxCriterion mmc = (MinMaxCriterion) avg;
double currentFitness = mmc.delegate.getFitness();
if (currentFitness < this.fitness) {
this.fitness = currentFitness;
this.value = mmc.delegate.getMikroAverage();
}
this.fitnessSum += currentFitness;
counter++;
delegate.buildAverage(mmc.delegate);
}
}