org.encog.ml

Interface MLRegression

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.

Method Summary

Modifier and Type	Method and Description
MLData	compute(MLData input) Compute regression.

Methods inherited from interface org.encog.ml.MLInput

getInputCount

Methods inherited from interface org.encog.ml.MLOutput

getOutputCount

Method Detail

compute

MLData compute(MLData input)

Compute regression.

Parameters:

input - The input data.

Returns:

The output data.