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## org.encog.ml
Interface MLMethod

All Known Subinterfaces:
  ContainsFlat, MLAutoAssocation, MLClassification, MLClustering, MLContext, MLEncodable, MLError, MLInput, MLInputOutput, MLOutput, MLProperties, MLRegression, MLResettable, MLStateSequence

All Known Implementing Classes:
  AbstractPNN, ART, ART1, BAM, BasicML, BasicNetwork, BasicPNN, BayesianNetwork, BoltzmannMachine, CPN, GaussianFitting, HiddenMarkovModel, HopfieldNetwork, KMeansClustering, LinearRegression, NEATNetwork, RBFNetwork, SOM, SVM, ThermalNetwork

    public interface 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.

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