Package org.encog.ml

Examples of org.encog.ml.MethodFactory

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    final Map<String, String> args = ArchitectureParse.parseParams(argsStr);
    final ParamsHolder holder = new ParamsHolder(args);
    final int populationSize = holder.getInt(
        MLTrainFactory.PROPERTY_POPULATION_SIZE, false, 5000);
   
    MLTrain train = new MLMethodGeneticAlgorithm(new MethodFactory(){
      @Override
      public MLMethod factor() {
        final MLMethod result = (MLMethod) ObjectCloner.deepCopy(method);
        ((MLResettable)result).reset();
        return result;
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  @Test
  public void testMLMethodGenetic() throws Throwable
  {
    MLDataSet trainingData = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);   
    CalculateScore score = new TrainingSetScore(trainingData);
    MLMethodGeneticAlgorithm genetic = new MLMethodGeneticAlgorithm(new MethodFactory(){
      @Override
      public MLMethod factor() {
        BasicNetwork network = NetworkUtil.createXORNetworkUntrained();
        network.reset();
        return network;
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  @Test
  public void testGenetic() throws Throwable
  {
    MLDataSet trainingData = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);   
    CalculateScore score = new TrainingSetScore(trainingData);
    MLMethodGeneticAlgorithm genetic = new MLMethodGeneticAlgorithm(new MethodFactory(){
      @Override
      public MLMethod factor() {
        FreeformNetwork network = NetworkUtil.createXORFreeformNetworkUntrained();
        network.reset();
        return network;
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Related Classes of org.encog.ml.MethodFactory

  • org.encog.ml.factory.train.GeneticFactory
  • org.encog.neural.freeform.TestFreeformTraining
  • org.encog.neural.networks.training.TestTraining
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