/*
* 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();
}
}