- 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 MLInput
extends MLMethod
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.