- All Known Implementing Classes:
- BasicNetwork, BasicPNN, BoltzmannMachine, CPN, EncogProgram, FreeformNetwork, GaussianFitting, GenericEnsembleML, HopfieldNetwork, LinearRegression, NEATNetwork, NEATPopulation, PrgPopulation, RBFNetwork, SVM, ThermalNetwork
public interface MLRegression extends MLInputOutputDefines 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.
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