/* * 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.core.Instances; import weka.core.SelectedTag; import weka.core.TestInstances; import weka.filters.AbstractFilterTest; import weka.filters.Filter; import junit.framework.Test; import junit.framework.TestSuite; /** * Tests Wavelet. Run from the command line with:<p> * java weka.filters.unsupervised.attribute.WaveletTest * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 1.3 $ */ public class WaveletTest extends AbstractFilterTest { public WaveletTest(String name) { super(name); } /** * 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 { int i; super.setUp(); // set class attribute m_Instances.setClassIndex(2); // delete all non-numeric attribute i = 0; while (i < m_Instances.numAttributes()) { if (m_Instances.classIndex() == i) { i++; continue; } if (!m_Instances.attribute(i).isNumeric()) m_Instances.deleteAttributeAt(i); else i++; } } /** Creates a default Wavelet */ public Filter getFilter() { return getFilter(Wavelet.ALGORITHM_HAAR, Wavelet.PADDING_ZERO); } /** * returns a custom filter * * @param algorithm the type of algorithm to use * @param padding the type of padding to use * @return the configured filter */ protected Filter getFilter(int algorithm, int padding) { Wavelet filter; filter = new Wavelet(); filter.setAlgorithm(new SelectedTag(algorithm, Wavelet.TAGS_ALGORITHM)); filter.setAlgorithm(new SelectedTag(padding, Wavelet.TAGS_PADDING)); return filter; } /** * tests the HAAR algorithm */ public void testTypicalHAAR() { Instances icopy; Instances result; m_Filter = getFilter(Wavelet.ALGORITHM_HAAR, Wavelet.PADDING_ZERO); icopy = new Instances(m_Instances); // 1. with class attribute result = useFilter(); // Number of attributes will be power of 2 + class, number of instances won't change assertEquals(Wavelet.nextPowerOf2(m_Instances.numAttributes()) + 1, result.numAttributes()); assertEquals(m_Instances.numInstances(), result.numInstances()); // 2. without class attribute m_Instances = new Instances(icopy); m_Instances.setClassIndex(-1); result = useFilter(); // Number of attributes will be power of 2 + class, number of instances won't change assertEquals(Wavelet.nextPowerOf2(m_Instances.numAttributes()), result.numAttributes()); assertEquals(m_Instances.numInstances(), result.numInstances()); } public static Test suite() { return new TestSuite(WaveletTest.class); } public static void main(String[] args){ junit.textui.TestRunner.run(suite()); } }