/* * 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.supervised.attribute; import weka.core.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 PLSFilter. Run from the command line with: <p/> * java weka.filters.supervised.attribute.PLSFilterTest * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 1.3 $ */ public class PLSFilterTest extends AbstractFilterTest { /** the default number of attributes to generate (apart from class) */ protected final static int NUM_ATTS = 5; /** the number of numeric attributes in the test dataset */ protected final static int NUM_NUMERIC_ATTS = 20; public PLSFilterTest(String name) { super(name); } /** * Creates a default PLSFilter * * @return the configured filter */ public Filter getFilter() { return getFilter(NUM_ATTS, PLSFilter.ALGORITHM_PLS1); } /** * Creates a PLSFilter according to the parameters * * @param numAtts the number of attributes to generate * @param algorithm the algorithm to use * @return the configured filter */ public Filter getFilter(int numAtts, int algorithm) { PLSFilter filter = new PLSFilter(); filter.setNumComponents(numAtts); filter.setReplaceMissing(true); filter.setPreprocessing(new SelectedTag(PLSFilter.PREPROCESSING_CENTER, PLSFilter.TAGS_PREPROCESSING)); filter.setAlgorithm(new SelectedTag(algorithm, PLSFilter.TAGS_ALGORITHM)); return filter; } /** * 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 = new TestInstances(); test.setNumNominal(0); test.setNumNumeric(NUM_NUMERIC_ATTS); test.setClassType(Attribute.NUMERIC); result = test.generate(); return result; } /** * Called by JUnit before each test method. This implementation creates * the default filter to test and generates 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(0); test.setNumNumeric(NUM_NUMERIC_ATTS); test.setClassType(Attribute.NUMERIC); m_Instances = test.generate(); } /** * performs a test * * @param algorithm the algorithm to use */ protected void performTest(int algorithm) { Instances icopy = new Instances(m_Instances); m_Filter = getFilter(NUM_ATTS, algorithm); Instances result = useFilter(); assertEquals(result.numAttributes(), NUM_ATTS + 1); assertEquals(result.numInstances(), icopy.numInstances()); m_Filter = getFilter(NUM_ATTS*2, algorithm); result = useFilter(); assertEquals(result.numAttributes(), NUM_ATTS*2 + 1); assertEquals(result.numInstances(), icopy.numInstances()); } /** * performs a test on PLS1 */ public void testPLS1() { performTest(PLSFilter.ALGORITHM_PLS1); } /** * performs a test on SIMPLS */ public void testSIMPLS() { performTest(PLSFilter.ALGORITHM_SIMPLS); } public static Test suite() { return new TestSuite(PLSFilterTest.class); } public static void main(String[] args){ junit.textui.TestRunner.run(suite()); } }