/*
* 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.tools.math.distribution;
import java.util.ArrayList;
import java.util.Collection;
import com.rapidminer.tools.Tools;
/**
* The distribution for a discrete variable.
*
* @author Tobias Malbrecht
* @version $Id: DiscreteDistribution.java,v 1.2 2008/07/13 20:38:24 ingomierswa Exp $
*/
public class DiscreteDistribution implements Distribution {
private static final long serialVersionUID = 7573474548080998479L;
private String attributeName;
private double[] probabilities;
private String[] valueNames;
public DiscreteDistribution(String attributeName, double[] probabilities, String[] valueNames) {
this.attributeName = attributeName;
this.probabilities = probabilities;
this.valueNames = valueNames;
}
public final boolean isDiscrete() {
return true;
}
public final boolean isContinuous() {
return false;
}
public double getProbability(double value) {
int index = (int) value;
if (index >= 0 && index < probabilities.length) {
return probabilities[index];
} else {
return Double.NaN;
}
}
/** Returns the name of the attribute the distribution belongs to. */
public String getAttributeName() {
return attributeName;
}
/** This method returns a collection of all nominal attribute values. */
public Collection<Double> getValues() {
Collection<Double> values = new ArrayList<Double>();
for (int i = 0; i < probabilities.length; i++) {
values.add((double) i);
}
return values;
}
public String mapValue(double value) {
int index = (int) value;
if (index >= 0 && index < valueNames.length) {
return valueNames[index];
} else {
return null;
}
}
public String toString() {
StringBuffer distributionDescription = new StringBuffer();
boolean first = true;
for (int i = 0; i < valueNames.length; i++) {
if (!first) {
distributionDescription.append("\t");
}
distributionDescription.append(valueNames[i]);
first = false;
}
first = true;
distributionDescription.append(Tools.getLineSeparator());
for (int i = 0; i < valueNames.length; i++) {
if (!first) {
distributionDescription.append("\t");
}
distributionDescription.append(Tools.formatNumber(probabilities[i]));
first = false;
}
return distributionDescription.toString();
}
}