Examples of org.encog.ml.data.specific.CSVNeuralDataSet

org.encog.ml.data.specific.CSVNeuralDataSet
An implementation of the NeuralDataSet interface designed to provide a CSV file to the neural network. This implementation uses the BasicNeuralData to hold the data being read. This class has no ability to write CSV files. The columns of the CSV file will specify both the input and ideal columns. Because this class loads the CSV file to memory, it is quite fast, once the data has been loaded.

  
  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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   */
  public static void convertCSV2Binary(final File csvFile,
      final File binFile, final int inputCount, final int outputCount,
      final boolean headers) {
    binFile.delete();
    final CSVNeuralDataSet csv = new CSVNeuralDataSet(csvFile.toString(),
        inputCount, outputCount, false);
    final BufferedNeuralDataSet buffer = new BufferedNeuralDataSet(binFile);
    buffer.beginLoad(inputCount, outputCount);
    for (final MLDataPair pair : csv) {
      buffer.add(pair);

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             String binFile, int inputCount, int outputCount,
             boolean headers)
    {


        (new File(binFile)).delete();
        CSVNeuralDataSet csv = new CSVNeuralDataSet(csvFile.toString(),
               inputCount, outputCount, headers);
        BufferedNeuralDataSet buffer = new BufferedNeuralDataSet(new File(binFile));
        buffer.beginLoad(inputCount, outputCount);
        for(MLDataPair pair : csv)
        {

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             String binFile, int inputCount, int outputCount,
             boolean headers)
    {


        (new File(binFile)).delete();
        CSVNeuralDataSet csv = new CSVNeuralDataSet(csvFile.toString(),
               inputCount, outputCount, headers);
        BufferedMLDataSet buffer = new BufferedMLDataSet(new File(binFile));
        buffer.beginLoad(inputCount, outputCount);
        for(MLDataPair pair : csv)
        {

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   */
  public static void convertCSV2Binary(final File csvFile,
      final File binFile, final int inputCount, final int outputCount,
      final boolean headers) {
    binFile.delete();
    final CSVNeuralDataSet csv = new CSVNeuralDataSet(csvFile.toString(),
        inputCount, outputCount, false);
    final BufferedMLDataSet buffer = new BufferedMLDataSet(binFile);
    buffer.beginLoad(inputCount, outputCount);
    for (final MLDataPair pair : csv) {
      buffer.add(pair);

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  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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Related Classes of org.encog.ml.data.specific.CSVNeuralDataSet

org.encog.ml.data.buffer.codec.CSVDataCODEC

org.encog.ml.data.buffer.codec.DataSetCODEC

org.encog.ml.data.buffer.MemoryDataLoader

org.encog.neural.data.csv.TestCSVNeuralData

org.encog.util.simple.EncogUtility

java.io.File

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