Package org.encog.neural.data.csv

Source Code of org.encog.neural.data.csv.TestCSVNeuralData

/*
* Encog(tm) Core Unit Tests v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 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.
*  
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*/
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();
 
}
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