/*
* 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());
}
}