source: tags/MetisMQIDemo/src/test/java/weka/classifiers/pmml/consumer/RegressionTest.java

/*
 *    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 2008 University of Waikato, Hamilton, New Zealand
 */

package weka.classifiers.pmml.consumer;

import weka.core.FastVector;

import junit.framework.Test;
import junit.framework.TestSuite;

/**
 * Tests the pmml Regression classifier.
 *
 * @author Mark Hall (mhall{[at]}pentaho{[dot]}com)
 * @version $Revision 1.0 $
 */
public class RegressionTest extends AbstractPMMLClassifierTest {

  public RegressionTest(String name) {
    super(name);
  }

  protected void setUp() throws Exception {
    m_modelNames = new FastVector();
    m_dataSetNames = new FastVector();
    m_modelNames.addElement("linear_regression_model.xml");
    m_modelNames.addElement("ELNINO_REGRESSION_SIMPLE.xml");
    m_dataSetNames.addElement("Elnino_small.arff");
    m_dataSetNames.addElement("Elnino_small.arff");
  }

  public static Test suite() {
    return new TestSuite(weka.classifiers.pmml.consumer.RegressionTest.class);
  }

  public static void main(String[] args) {
    junit.textui.TestRunner.run(suite());
  }
}