/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.test;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.MissingIOObjectException;
/**
* Tests for the Data of an ExampleSet
*
* @author Marcin Skirzynski
* @version $Id: SVMModelSampleDataTest.java,v 1.7 2008/07/01 14:16:12 ingomierswa Exp $
*/
public class SVMModelSampleDataTest extends OperatorDataSampleTest {
//private double[] expectedValues;
public SVMModelSampleDataTest(String file, double[] expectedValues) {
super(file);
//this.expectedValues = expectedValues;
}
public void checkOutput(IOContainer output) throws MissingIOObjectException {
/*
ContainerModel containerModel = output.get(ContainerModel.class);
if (containerModel.getModel(0).getClass().getName().equals("com.rapidminer.operator.learner.functions.kernel.evosvm.EvoSVMModel")) {
EvoSVMModel model = containerModel.getModel(EvoSVMModel.class);
for(int i=0;i<expectedValues.length;i++){
assertEquals(model.getFunctionValue(i),expectedValues[i]);
}
}
if (containerModel.getModel(0).getClass().getName().equals("com.rapidminer.operator.learner.functions.kernel.GPModel")) {
GPModel model = containerModel.getModel(GPModel.class);
for(int i=0;i<expectedValues.length;i++){
assertEquals(model.getFunctionValue(i),expectedValues[i]);
}
}
if (containerModel.getModel(0).getClass().getName().equals("com.rapidminer.operator.learner.functions.kernel.JMySVMModel")) {
JMySVMModel model= containerModel.getModel(JMySVMModel.class);
for(int i=0;i<expectedValues.length;i++){
assertEquals(model.getFunctionValue(i),expectedValues[i]);
}
}
if (containerModel.getModel(0).getClass().getName().equals("com.rapidminer.operator.learner.functions.kernel.LibSVMModel")) {
LibSVMModel model= containerModel.getModel(LibSVMModel.class);
for(int i=0;i<expectedValues.length;i++){
assertEquals(model.getAlpha(i),expectedValues[i]);
}
}
if (containerModel.getModel(0).getClass().getName()=="com.rapidminer.operator.learner.functions.kernel.RVMModel"){
RVMModel model= containerModel.getModel(RVMModel.class);
for(int i=0;i<expectedValues.length;i++){
assertEquals(model.getAlpha(i),expectedValues[i]);
}
}
if (containerModel.getModel(0).getClass().getName()=="com.rapidminer.operator.learner.functions.kernel.MyKLRModel"){
MyKLRModel model= containerModel.getModel(MyKLRModel.class);
assertEquals(model.getFunctionValue(0),expectedValues[0]);
for(int i=1;i<expectedValues.length;i++){
assertEquals(model.getAlpha(i-1),expectedValues[i]);
}
}
*/
}
}