/*
 * Encog(tm) Core v2.6 Unit Test - Java Version
 * http://www.heatonresearch.com/encog/
 * http://code.google.com/p/encog-java/
 
 * Copyright 2008-2010 Heaton Research, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *   
 * For more information on Heaton Research copyrights, licenses 
 * and trademarks visit:
 * http://www.heatonresearch.com/copyright
 */
package org.encog.persist;

import java.io.IOException;

import junit.framework.Assert;
import junit.framework.TestCase;

import org.encog.ml.svm.KernelType;
import org.encog.ml.svm.SVM;
import org.encog.ml.svm.SVMType;
import org.encog.ml.svm.training.SVMTrain;
import org.encog.neural.art.ART1;
import org.encog.neural.data.NeuralDataSet;
import org.encog.neural.data.basic.BasicNeuralDataSet;
import org.encog.neural.networks.XOR;
import org.encog.util.obj.SerializeObject;

public class TestPersistSVM extends TestCase {
	
	public final String EG_FILENAME = "encogtest.eg";
	public final String EG_RESOURCE = "test";
	public final String SERIAL_FILENAME = "encogtest.ser";
	
	private SVM create()
	{
		NeuralDataSet training = new BasicNeuralDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);
		SVM result = new SVM(2,1,SVMType.EpsilonSupportVectorRegression,KernelType.RadialBasisFunction);
		final SVMTrain train = new SVMTrain(result, training);
		train.train();
		return result;
	}
	
	public void testPersistEG()
	{
		SVM network = create();

		EncogMemoryCollection encog = new EncogMemoryCollection();
		encog.add(EG_RESOURCE, network);
		encog.save(EG_FILENAME);
		
		EncogMemoryCollection encog2 = new EncogMemoryCollection();
		encog2.load(EG_FILENAME);
		SVM network2 = (SVM)encog2.find(EG_RESOURCE);
		validate(network2);
	}
	
	public void testPersistSerial() throws IOException, ClassNotFoundException
	{
		SVM network = create();
		
		SerializeObject.save(SERIAL_FILENAME, network);
		SVM network2 = (SVM)SerializeObject.load(SERIAL_FILENAME);
				
		validate(network2);
	}
	
	public void testPersistSerialEG() throws IOException, ClassNotFoundException, InstantiationException, IllegalAccessException
	{
		SVM network = create();
		
		SerializeObject.saveEG(SERIAL_FILENAME, network);
		SVM network2 = (SVM)SerializeObject.loadEG(SERIAL_FILENAME);
				
		validate(network2);
	}
	
	private void validate(SVM network)
	{
		
	}
}

@@ -2877,24 +2877,447 @@
 SVM 
-network)%0D%0A%09%7B%0D%0A%09%09
+svm)%0D%0A%09%7B%0D%0A%09%09Assert.assertEquals(KernelType.RadialBasisFunction, svm.getKernelType());%0D%0A%09%09Assert.assertEquals(SVMType.EpsilonSupportVectorRegression, svm.getSvmType());%0D%0A%09%09Assert.assertEquals(1.0, svm.getParams()%5B0%5D.C);%0D%0A%09%09Assert.assertEquals(100.0, svm.getParams()%5B0%5D.cache_size);%0D%0A%09%09Assert.assertEquals(1, svm.getParams().length);%0D%0A%09%09Assert.assertEquals(1, svm.getModels().length);%0D%0A%09%09Assert.assertEquals(4, svm.getModels()%5B0%5D.SV.length);
 %0D%0A%09%7D

Update unit tests