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

      fitFold(k, foldNumber, fold);
    }


    double sum = 0;
    double bestScore = Double.POSITIVE_INFINITY;
    MLMethod bestMethod = null;
    for (DataFold fold : cross.getFolds()) {
      sum += fold.getScore();
      if (fold.getScore() < bestScore) {
        bestScore = fold.getScore();
        bestMethod = fold.getMethod();

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Examples of org.encog.ml.MLMethod

    if (this.methodType == null) {
      throw new EncogError(
          "Please call selectMethod first to choose what type of method you wish to use.");
    }
    MLMethodFactory methodFactory = new MLMethodFactory();
    MLMethod method = methodFactory.create(methodType, methodArgs, dataset
        .getNormHelper().calculateNormalizedInputCount(), this.config
        .determineOutputCount(dataset));
    return method;
  }

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Examples of org.encog.ml.MLMethod

   */
  public MLMethod create(final String methodType,
      final String architecture, final int input, final int output) {
    for (EncogPluginBase plugin : Encog.getInstance().getPlugins()) {
      if (plugin instanceof EncogPluginService1) {
        MLMethod result = ((EncogPluginService1) plugin).createMethod(
            methodType, architecture, input, output);
        if (result != null) {
          return result;
        }
      }

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