/*
* 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());
}
}