/*
* 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., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* SoftClassifiedInstances.java
* Copyright (C) 2003 Ray Mooney
*
*/
package weka.core;
import java.util.*;
import java.io.*;
/**
* An set of Instances that has a probability distribution across class values.
* Particularly useful for EM using a SoftClassifier
*
* @author Ray Mooney (mooney@cs.utexas.edu)
*/
public class SoftClassifiedInstances extends Instances {
/**
* Create a set of SoftClassifiedInstances from a given set of
* Instances but with random class probabilities.
*/
public SoftClassifiedInstances (Instances dataset, Random randomizer) {
super(dataset, dataset.numInstances());
Enumeration enumInsts = dataset.enumerateInstances();
while (enumInsts.hasMoreElements()) {
Instance instance = (Instance) enumInsts.nextElement();
Instance softInstance;
if (instance instanceof SparseInstance)
softInstance = new SoftClassifiedSparseInstance((SparseInstance)instance, randomizer);
else
softInstance = new SoftClassifiedFullInstance(instance, randomizer);
m_Instances.addElement(softInstance);
}
}
/**
* Create a set of SoftClassifiedInstances from a given set of
* Instances with hard class probabilities using existing class values.
*/
public SoftClassifiedInstances (Instances dataset) {
super(dataset, dataset.numInstances());
Enumeration enumInsts = dataset.enumerateInstances();
while (enumInsts.hasMoreElements()) {
Instance instance = (Instance) enumInsts.nextElement();
Instance softInstance;
if (instance instanceof SparseInstance)
softInstance = new SoftClassifiedSparseInstance((SparseInstance)instance);
else
softInstance = new SoftClassifiedFullInstance(instance);
m_Instances.addElement(softInstance);
}
}
/** Add another set of instances to this set */
public void addInstances (SoftClassifiedInstances instances) {
Enumeration enumInsts = instances.enumerateInstances();
while (enumInsts.hasMoreElements()) {
Instance instance = (Instance) enumInsts.nextElement();
m_Instances.addElement(instance);
}
}
}