Examples of MLMethod

com.heatonresearch.aifh.learning.MLMethod
This interface defines a Machine Learning Method. A MLMethod is an algorithm that accepts data and provides some sort of insight into it. This could be a neural network, support vector machine, clustering algorithm, or something else entirely.
org.encog.ml.MLMethod
This interface is the base for all Encog Machine Learning methods. It defines very little, other than the fact that a subclass is a Machine Learning Method. A MLMethod is an algorithm that accepts data and provides some sort of insight into it. This could be a neural network, support vector machine, clustering algorithm, or something else entirely. Many MLMethods must be trained by a MLTrain object before they are useful.

Examples of org.encog.ml.MLMethod

  public MLMethod obtainMethod() {
    final String resourceID = getProp().getPropertyString(
        ScriptProperties.ML_CONFIG_MACHINE_LEARNING_FILE);
    final File resourceFile = getScript().resolveFilename(resourceID);


    final MLMethod method = (MLMethod) EncogDirectoryPersistence
        .loadObject(resourceFile);


    if (!(method instanceof MLMethod)) {
      throw new AnalystError(
          "The object to be trained must be an instance of MLMethod. "
              + method.getClass().getSimpleName());
    }


    return method;
  }

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Examples of org.encog.ml.MLMethod

    final int input = egb.getInputCount();
    final int ideal = egb.getIdealCount();
    egb.close();


    final MLMethodFactory factory = new MLMethodFactory();
    final MLMethod obj = factory.create(type, arch, input, ideal);


    if (obj instanceof BayesianNetwork) {
      final String query = getProp().getPropertyString(
          ScriptProperties.ML_CONFIG_QUERY);
      ((BayesianNetwork) obj).defineClassificationStructure(query);

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Examples of org.encog.ml.MLMethod

  private void embedNetwork(final EncogProgramNode node) {
    addBreak();


    final File methodFile = (File) node.getArgs().get(0).getValue();


    final MLMethod method = (MLMethod) EncogDirectoryPersistence
        .loadObject(methodFile);


    if (!(method instanceof MLFactory)) {
      throw new EncogError("Code generation not yet supported for: "
          + method.getClass().getName());
    }


    final MLFactory factoryMethod = (MLFactory) method;


    final String methodName = factoryMethod.getFactoryType();

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Examples of org.encog.ml.MLMethod

        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;
      }}, score, populationSize);


    return train;

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Examples of org.encog.ml.MLMethod

    final File resourceFile = getScript().resolveFilename(resourceID);


    final File outputFile = getAnalyst().getScript().resolveFilename(
        outputID);
    
    MLMethod m = (MLMethod) EncogDirectoryPersistence.loadObject(resourceFile);
    
    if( !(m instanceof MLRegression) ) {
      throw new AnalystError("The evaluate raw command can only be used with regression.");
    }

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Examples of org.encog.ml.MLMethod

    final ScriptProperties prop = this.encogAnalyst.getScript().getProperties(); 
    final String resourceID = prop.getPropertyString(
        ScriptProperties.ML_CONFIG_MACHINE_LEARNING_FILE);
    final File resourceFile = this.encogAnalyst.getScript().resolveFilename(resourceID);


    final MLMethod method = (MLMethod) EncogDirectoryPersistence
        .loadObject(resourceFile);


    if (!(method instanceof MLMethod)) {
      throw new AnalystError(
          "The object to be trained must be an instance of MLMethod. "
              + method.getClass().getSimpleName());
    }


    return method;
  }

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Examples of org.encog.ml.MLMethod

    double e = calculateError();
    Assert.assertTrue(e<targetError);
  }
  
  public double calculateError() {
    MLMethod method = obtainMethod();
    MLDataSet data = obtainTrainingSet();
    return ((MLError)method).calculateError(data);
  }

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Examples of org.encog.ml.MLMethod


    // try rewrite
    this.rules.rewrite(g);


    // decode
    final MLMethod phenotype = getCODEC().decode(g);
    double score;


    // deal with invalid decode
    if (phenotype == null) {
      if (getBestComparator().shouldMinimize()) {

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Examples of org.encog.ml.MLMethod

  /**
   * Perform the task.
   */
  @Override
  public void run() {
    MLMethod phenotype = this.owner.getCodec().decode(this.genome);
    if (phenotype != null) {
      double score;
      try {
        score = this.scoreFunction.calculateScore(phenotype);
      } catch(EARuntimeError e) {

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Examples of org.encog.ml.MLMethod

   * @param k The number of folds total.
   * @param foldNum The current fold.
   * @param fold The current fold.
   */
  private void fitFold(int k, int foldNum, DataFold fold) {
    MLMethod method = this.createMethod();
    MLTrain train = this.createTrainer(method, fold.getTraining());


    if (train.getImplementationType() == TrainingImplementationType.Iterative) {
      SimpleEarlyStoppingStrategy earlyStop = new SimpleEarlyStoppingStrategy(
          fold.getValidation());

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