org.encog.ml
Interface MLRegression

All Superinterfaces:

MLInput, MLInputOutput, MLMethod, MLOutput

All Known Subinterfaces:

MLAutoAssocation

All Known Implementing Classes:

BasicNetwork, BasicPNN, BoltzmannMachine, CPN, GaussianFitting, HopfieldNetwork, LinearRegression, NEATNetwork, 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

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.