- All Superinterfaces:
- 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 MLMethodDefines 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.
Methods Modifier and Type Method and Description
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