Examples of FoldedDataSet

org.encog.ml.data.folded.FoldedDataSet
A folded data set allows you to "fold" the data into several equal(or nearly equal) datasets. You then have the ability to select which fold the dataset will process. This is very useful for crossvalidation. This dataset works off of an underlying dataset. By default there are no folds (fold size 1). Call the fold method to create more folds.

Examples of org.encog.ml.data.folded.FoldedDataSet

    network.reset();
    return network;
  }


  public void train(BasicNetwork network, MLDataSet training) {
    final FoldedDataSet folded = new FoldedDataSet(training); 
    final MLTrain train = new ResilientPropagation(network, folded);
    final CrossValidationKFold trainFolded = new CrossValidationKFold(train,4);


    int epoch = 1;

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Examples of org.encog.ml.data.folded.FoldedDataSet


  private ProjectEGFile mlMethod;
  private EncogCommonTab parentTab;
  
  private MLDataSet wrapTrainingData(MLDataSet trainingData) {
    final FoldedDataSet folded = new FoldedDataSet(trainingData);
    return folded;
  }

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Examples of org.encog.ml.data.folded.FoldedDataSet

  {
    MLDataSet trainingData = XOR.createNoisyXORDataSet(10);
    
    BasicNetwork network = NetworkUtil.createXORNetworkUntrained();
    
    final FoldedDataSet folded = new FoldedDataSet(trainingData); 
    final MLTrain train = new ResilientPropagation(network, folded);
    final CrossValidationKFold trainFolded = new CrossValidationKFold(train,4);
    
    EncogUtility.trainToError(trainFolded, 0.2);

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Examples of org.encog.ml.data.folded.FoldedDataSet

    final File trainingFile = getScript().resolveFilename(trainingID);


    MLDataSet trainingSet = EncogUtility.loadEGB2Memory(trainingFile);


    if (this.kfold > 0) {
      trainingSet = new FoldedDataSet(trainingSet);
    }


    return trainingSet;
  }

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Examples of org.encog.ml.data.folded.FoldedDataSet

    final File trainingFile = getScript().resolveFilename(trainingID);


    MLDataSet trainingSet = EncogUtility.loadEGB2Memory(trainingFile);


    if (this.kfold > 0) {
      trainingSet = new FoldedDataSet(trainingSet);
    }


    return trainingSet;
  }

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Examples of org.encog.ml.data.folded.FoldedDataSet

  {
    MLDataSet trainingData = XOR.createNoisyXORDataSet(10);
    
    BasicNetwork network = NetworkUtil.createXORNetworkUntrained();
    
    final FoldedDataSet folded = new FoldedDataSet(trainingData); 
    final MLTrain train = new ResilientPropagation(network, folded);
    final CrossValidationKFold trainFolded = new CrossValidationKFold(train,4);
    
    EncogUtility.trainToError(trainFolded, 0.2);

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