/*
* 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) 2008 University of Waikato, Hamilton, New Zealand
*/
package weka.attributeSelection;
import weka.classifiers.CostMatrix;
import java.io.InputStreamReader;
import junit.framework.Test;
import junit.framework.TestSuite;
/**
* Tests CostSensitiveSubsetEval. Run from the command line with:<p/>
* java weka.attributeSelection.CostSensitiveAttributeEvalTest
*
* @author Mark Hall (mhall{[at]}pentaho{[dot]}com
* @version $Revision$
*/
public class CostSensitiveSubsetEvalTest
extends AbstractEvaluatorTest {
public CostSensitiveSubsetEvalTest(String name) {
super(name);
}
/**
* Called by JUnit before each test method. This implementation creates
* the default evaluator to test and loads a test set of Instances.
*
* @exception Exception if an error occurs reading the example instances.
*/
protected void setUp() throws Exception {
super.setUp();
// can handle only as much classes as there are in the CostMatrix!
m_NClasses = ((CostSensitiveSubsetEval) getEvaluator()).getCostMatrix().numRows();
}
/** Creates a default BestFirst */
public ASSearch getSearch() {
return new BestFirst();
}
/** Creates a default CostSensitiveSubsetEval */
public ASEvaluation getEvaluator() {
CostSensitiveSubsetEval csse = new CostSensitiveSubsetEval();
// load cost matrix
try {
csse.setCostMatrix(
new CostMatrix(
new InputStreamReader(ClassLoader.getSystemResourceAsStream(
"weka/classifiers/data/ClassifierTest.cost"))));
} catch (Exception e) {
e.printStackTrace();
}
return csse;
}
public static Test suite() {
return new TestSuite(CostSensitiveSubsetEvalTest.class);
}
public static void main(String[] args){
junit.textui.TestRunner.run(suite());
}
}