org.encog.ml
Interface MLInputOutput

All Superinterfaces:
MLInput, MLMethod, MLOutput
All Known Subinterfaces:
EnsembleML, MLAutoAssocation, MLClassification, MLRegression
All Known Implementing Classes:
ART1, BasicNetwork, BasicPNN, BayesianNetwork, BoltzmannMachine, CPN, EncogProgram, FreeformNetwork, GaussianFitting, GenericEnsembleML, HopfieldNetwork, LinearRegression, NEATNetwork, NEATPopulation, PrgPopulation, RBFNetwork, SOM, SVM, ThermalNetwork

public interface MLInputOutput
extends MLInput, MLOutput

This is a convenience interface that combines MLInput and MLOutput. Together these define a MLMethod that both accepts input and produces output. Input and output are defined as a simple array of double values. Many machine learning methods, such as neural networks and support vector machines handle input and output in this way, and thus implement this interface. Others, such as clustering, do not.


Method Summary
 
Methods inherited from interface org.encog.ml.MLInput
getInputCount
 
Methods inherited from interface org.encog.ml.MLOutput
getOutputCount
 



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