/* * 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; } }