- 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.