- All Superinterfaces:
- MLInput, MLInputOutput, MLMethod, MLOutput
- All Known Subinterfaces:
- EnsembleML, MLAutoAssocation
- All Known Implementing Classes:
- BasicNetwork, BasicPNN, BoltzmannMachine, CPN, EncogProgram, FreeformNetwork, GaussianFitting, GenericEnsembleML, HopfieldNetwork, LinearRegression, NEATNetwork, NEATPopulation, PrgPopulation, RBFNetwork, SVM, ThermalNetwork
public interface MLRegression
extends MLInputOutput
Defines a Machine Learning Method that supports regression. Regression
takes an input and produces numeric output. Function approximation
uses regression. Contrast this to classification, which uses the input
to assign a class.