/*
* 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.
*/
/*
* PT6Transformation.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.transformations;
import java.io.Serializable;
import java.util.ArrayList;
import mulan.data.MultiLabelInstances;
import weka.core.Attribute;
import weka.core.Instance;
import weka.core.Instances;
/**
*
* @author Stavros Mpakirtzoglou
* @author Grigorios Tsoumakas
*/
public class PT6Transformation implements Serializable {
private int[] labelIndices;
public Instances transformInstances(MultiLabelInstances mlData) throws Exception {
int numLabels = mlData.getNumLabels();
labelIndices = mlData.getLabelIndices();
// remove all labels
Instances transformed = RemoveAllLabels.transformInstances(mlData);
// add at the end an attribute with values the label names
ArrayList<String> labelNames = new ArrayList<String>(numLabels);
for (int counter = 0; counter < numLabels; counter++) {
labelNames.add(mlData.getDataSet().attribute(labelIndices[counter]).name());
}
Attribute attrLabel = new Attribute("Label", labelNames);
transformed.insertAttributeAt(attrLabel, transformed.numAttributes());
// and at the end a binary attribute
ArrayList<String> binaryValues = new ArrayList<String>(2);
binaryValues.add("0");
binaryValues.add("1");
Attribute classAttr = new Attribute("Class", binaryValues);
transformed.insertAttributeAt(classAttr, transformed.numAttributes());
// add instances
transformed = new Instances(transformed, 0);
transformed.setClassIndex(transformed.numAttributes() - 1);
Instances data = mlData.getDataSet();
for (int instanceIndex = 0; instanceIndex < data.numInstances(); instanceIndex++) {
for (int labelCounter = 0; labelCounter < numLabels; labelCounter++) {
Instance temp;
temp = RemoveAllLabels.transformInstance(data.instance(instanceIndex), labelIndices);
temp.setDataset(null);
temp.insertAttributeAt(temp.numAttributes());
temp.insertAttributeAt(temp.numAttributes());
temp.setDataset(transformed);
temp.setValue(temp.numAttributes() - 2, (String) labelNames.get(labelCounter));
if (data.attribute(labelIndices[labelCounter]).value((int) data.instance(instanceIndex).value(labelIndices[labelCounter])).equals("1")) {
temp.setValue(temp.numAttributes() - 1, "1");
} else {
temp.setValue(temp.numAttributes() - 1, "0");
}
transformed.add(temp);
}
}
return transformed;
}
public Instance transformInstance(Instance instance) throws Exception {
if (labelIndices == null) {
System.out.println("Label Indices not set!!");
return null;
}
Instance transformedInstance = RemoveAllLabels.transformInstance(instance, labelIndices);
transformedInstance.setDataset(null);
transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
return transformedInstance;
}
}