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
Defines a MLMethod that accepts input. Input is defined as a simple
array of double values. Many machine learning methods, such as neural
networks and support vector machines receive input this way, and thus
implement this interface. Others, such as clustering, do not.
Modifier and Type
Method and Description
Returns: The input.
Copyright © 2014. All Rights Reserved.