org.encog.ml.fitting.gaussian

Class GaussianFitting

java.lang.Object

org.encog.ml.fitting.gaussian.GaussianFitting

All Implemented Interfaces:

MLInput, MLInputOutput, MLMethod, MLOutput, MLRegression

public class GaussianFitting
extends java.lang.Object
implements MLRegression

Constructor Summary

Constructors

Constructor and Description
GaussianFitting(int theInputCount)

Method Summary

Modifier and Type	Method and Description
MLData	compute(MLData input) Compute regression.
void	finalizeTraining()
int	getInputCount()
Matrix	getMu()
int	getOutputCount()
Matrix	getSigma()
double[]	getWeights()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GaussianFitting

public GaussianFitting(int theInputCount)

Method Detail

getWeights

public double[] getWeights()

getInputCount

public int getInputCount()

Specified by:

getInputCount in interface MLInput

Returns:

The input.

getOutputCount

public int getOutputCount()

Specified by:

getOutputCount in interface MLOutput

Returns:

The output count.

compute

public MLData compute(MLData input)

Description copied from interface: MLRegression

Compute regression.

Specified by:

compute in interface MLRegression

Parameters:

input - The input data.

Returns:

The output data.

getSigma

public Matrix getSigma()

Returns:

the sigma

getMu

public Matrix getMu()

Returns:

the mu

finalizeTraining

public void finalizeTraining()