org.encog.ml

Interface MLOutput

All Superinterfaces:

MLMethod

All Known Subinterfaces:

EnsembleML, MLAutoAssocation, MLClassification, MLInputOutput, 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 MLOutput
extends MLMethod

Defines a MLMethod that produces output. Input is defined as a simple array of double values. Many machine learning methods, such as neural networks and support vector machines produce output this way, and thus implement this interface. Others, such as clustering, do not.

Method Summary

Modifier and Type	Method and Description
int	getOutputCount()

Method Detail

getOutputCount

int getOutputCount()

Returns:

The output count.