/* * 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. */ /* * Copyright (C) 2006 University of Waikato, Hamilton, New Zealand */ package weka.filters.unsupervised.attribute; import weka.classifiers.meta.FilteredClassifier; import weka.core.Attribute; import weka.core.Instances; import weka.core.TestInstances; import weka.filters.AbstractFilterTest; import weka.filters.Filter; import junit.framework.Test; import junit.framework.TestSuite; /** * Tests MultiInstanceToPropositional. Run from the command line with: <p/> * java weka.filters.unsupervised.attribute.MultiInstanceToPropositionalTest * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 1.2 $ */ public class MultiInstanceToPropositionalTest extends AbstractFilterTest { public MultiInstanceToPropositionalTest(String name) { super(name); } /** Creates a default MultiInstanceToPropositional */ public Filter getFilter() { return new MultiInstanceToPropositional(); } /** * returns the configured FilteredClassifier. Since the base classifier is * determined heuristically, derived tests might need to adjust it. * * @return the configured FilteredClassifier */ protected FilteredClassifier getFilteredClassifier() { FilteredClassifier result; result = new FilteredClassifier(); result.setFilter(getFilter()); result.setClassifier(new weka.classifiers.rules.ZeroR()); return result; } /** * returns data generated for the FilteredClassifier test * * @return the dataset for the FilteredClassifier * @throws Exception if generation of data fails */ protected Instances getFilteredClassifierData() throws Exception{ TestInstances test; Instances result; test = TestInstances.forCapabilities(m_FilteredClassifier.getCapabilities()); test.setClassIndex(TestInstances.CLASS_IS_LAST); result = test.generate(); return result; } /** * Called by JUnit before each test method. This implementation creates * the default filter to test and loads a test set of Instances. * * @throws Exception if an error occurs reading the example instances. */ protected void setUp() throws Exception { super.setUp(); TestInstances test = new TestInstances(); test.setNumNominal(1); test.setClassType(Attribute.NOMINAL); test.setMultiInstance(true); m_Instances = test.generate(); } /** * performs a typical test */ public void testTypical() { Instances icopy = new Instances(m_Instances); Instances result = useFilter(); // # of instances int count = 0; for (int i = 0; i < icopy.numInstances(); i++) count += icopy.instance(i).relationalValue(1).numInstances(); assertEquals(result.numInstances(), count); // # of attributes count = icopy.numAttributes() + icopy.attribute(1).relation().numAttributes() - 1; assertEquals(result.numAttributes(), count); } /** * filter cannot be used in conjunction with the FilteredClassifier, since * it can produce more than one instance out of a bag. This will of course * not with the distributionForInstance/classifyInstance methods. */ public void testFilteredClassifier() { // nothing } public static Test suite() { return new TestSuite(MultiInstanceToPropositionalTest.class); } public static void main(String[] args){ junit.textui.TestRunner.run(suite()); } }