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

LinearRegression(int theInputCount)

Method Summary

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.