/* * 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.classifiers.functions; import weka.classifiers.AbstractClassifierTest; import weka.classifiers.CheckClassifier; import weka.classifiers.Classifier; import weka.core.SelectedTag; import weka.filters.supervised.attribute.PLSFilter; import junit.framework.Test; import junit.framework.TestSuite; /** * Tests PLSClassifier. Run from the command line with:<p/> * java weka.classifiers.functions.PLSClassifierTest * * @author FracPete (fracpete at waikato dot ac dot nz) * @version $Revision: 1.2 $ */ public class PLSClassifierTest extends AbstractClassifierTest { /** the number of PLS components to generate */ public final static int NUM_COMPONENTS = 5; public PLSClassifierTest(String name) { super(name); } /** * configures the CheckClassifier instance used throughout the tests * * @return the fully configured CheckClassifier instance used for testing */ protected CheckClassifier getTester() { CheckClassifier result; result = super.getTester(); result.setNumNominal(NUM_COMPONENTS * 2); result.setNumNumeric(NUM_COMPONENTS * 2); result.setNumString(NUM_COMPONENTS * 2); result.setNumDate(NUM_COMPONENTS * 2); result.setNumRelational(NUM_COMPONENTS * 2); return result; } /** Creates a default PLSClassifier */ public Classifier getClassifier() { PLSClassifier classifier = new PLSClassifier(); PLSFilter filter = new PLSFilter(); filter.setReplaceMissing(true); filter.setPreprocessing(new SelectedTag(PLSFilter.PREPROCESSING_CENTER, PLSFilter.TAGS_PREPROCESSING)); filter.setNumComponents(NUM_COMPONENTS); filter.setAlgorithm(new SelectedTag(PLSFilter.ALGORITHM_SIMPLS, PLSFilter.TAGS_ALGORITHM)); try { classifier.setFilter(filter); } catch (Exception e) { e.printStackTrace(); } return classifier; } public static Test suite() { return new TestSuite(PLSClassifierTest.class); } public static void main(String[] args){ junit.textui.TestRunner.run(suite()); } }