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

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


    final File outputFile = getAnalyst().getScript().resolveFilename(
        outputID);


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


    final boolean headers = getScript().expectInputHeaders(evalID);


    final AnalystEvaluateCSV eval = new AnalystEvaluateCSV();

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Examples of org.encog.ml.MLMethod

  @Override
  public final boolean executeCommand(final String args) {


    this.kfold = obtainCross();
    final MLDataSet trainingSet = obtainTrainingSet();
    MLMethod method = obtainMethod();
    final MLTrain trainer = createTrainer(method, trainingSet);
    
    EncogLogging.log(EncogLogging.LEVEL_DEBUG, "Beginning training");


    performTraining(trainer, method, trainingSet);

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Examples of org.encog.ml.MLMethod

  private 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);


    EncogDirectoryPersistence.saveObject(resourceFile, obj);


    return false;
  }

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Examples of org.encog.ml.MLMethod


    final File methodFile = analyst.getScript().resolveFilename(methodID);


    final File processFile = analyst.getScript().resolveFilename(processID);


    MLMethod method = null;
    int[] contextTargetOffset = null;
    int[] contextTargetSize = null;
    boolean hasContext = false;
    int inputCount = 0;
    int[] layerContextCount = null;

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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 FlatNetwork flat = ((ContainsFlat) method).getFlat();


    // header

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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


    final File methodFile = analyst.getScript().resolveFilename(methodID);


    final File processFile = analyst.getScript().resolveFilename(processID);


    MLMethod method = null;
    int[] contextTargetOffset = null;
    int[] contextTargetSize = null;
    boolean hasContext = false;
    int inputCount = 0;
    int[] layerContextCount = null;

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Examples of org.encog.ml.MLMethod

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


    final File outputFile = getAnalyst().getScript().resolveFilename(
        outputID);


    final MLMethod method = (MLMethod) EncogDirectoryPersistence
        .loadObject(resourceFile);
    getAnalyst().setMethod(method);
    
    if( method instanceof BayesianNetwork ) {
      ((BayesianNetwork)method).defineClassificationStructure(query);

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Examples of org.encog.ml.MLMethod

  @Override
  public boolean executeCommand(final String args) {


    setKfold( obtainCross() );
    final MLDataSet trainingSet = obtainTrainingSet();
    MLMethod method = obtainMethod();
    final MLTrain trainer = createTrainer(method, trainingSet);
    
    if( method instanceof BayesianNetwork ) {
      final String query = getProp().getPropertyString(
          ScriptProperties.ML_CONFIG_QUERY);

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