/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 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.neural.data.csv; import java.io.File; import java.io.FileNotFoundException; import java.io.FileOutputStream; import java.io.PrintStream; import junit.framework.TestCase; import org.encog.ml.data.specific.CSVNeuralDataSet; import org.encog.neural.networks.XOR; public class TestCSVNeuralData extends TestCase { public static final String FILENAME = "xor.csv"; private void generateCSV() throws FileNotFoundException { PrintStream ps = new PrintStream(new FileOutputStream(TestCSVNeuralData.FILENAME)); for(int count = 0; count<XOR.XOR_INPUT.length; count++) { StringBuilder builder = new StringBuilder(); for(int i=0;i<XOR.XOR_INPUT[0].length;i++ ) { if( builder.length()>0 ) builder.append(','); builder.append(XOR.XOR_INPUT[count][i]); } for(int i=0;i<XOR.XOR_IDEAL[0].length;i++ ) { if( builder.length()>0 ) builder.append(','); builder.append(XOR.XOR_IDEAL[count][i]); } ps.println(builder.toString()); } ps.close(); } public void testCSVData() throws Exception { generateCSV(); CSVNeuralDataSet set = new CSVNeuralDataSet("xor.csv",2,1,false); XOR.testXORDataSet(set); set.close(); new File(TestCSVNeuralData.FILENAME).delete(); } }