org.encog.ml
Interface MLMethod

All Known Subinterfaces:

ContainsFlat, MLAutoAssocation, MLClassification, MLClustering, MLContext, MLEncodable, MLError, MLInput, MLInputOutput, MLOutput, MLProperties, MLRegression, MLResettable

All Known Implementing Classes:

AbstractPNN, ART, ART1, BAM, BasicML, BasicNetwork, BasicPNN, BoltzmannMachine, CPN, HopfieldNetwork, KMeansClustering, 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.