org.encog.ml.fitting.linear

Class LinearRegression

java.lang.Object

org.encog.ml.fitting.linear.LinearRegression

All Implemented Interfaces:

MLError, MLInput, MLInputOutput, MLMethod, MLOutput, MLRegression

public class LinearRegression
extends Object
implements MLRegression, MLError

Constructor Summary

Constructors

Constructor and Description
LinearRegression(int theInputCount)

Method Summary

Methods

Modifier and Type	Method and Description
double	calculateError(MLDataSet data) Calculate the error of the ML method, given a dataset.
MLData	compute(MLData input) Compute regression.
int	getInputCount()
int	getOutputCount()
double[]	getWeights()

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearRegression

public LinearRegression(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.

calculateError

public double calculateError(MLDataSet data)

Description copied from interface: MLError

Calculate the error of the ML method, given a dataset.

Specified by:

calculateError in interface MLError

Parameters:

data - The dataset.

Returns:

The error.