org.encog.util.arrayutil

Class TemporalWindowArray

java.lang.Object

org.encog.util.arrayutil.TemporalWindowArray

public class TemporalWindowArray
extends java.lang.Object

Produce a time-series from an array.

Constructor Summary

Constructors

Constructor and Description
TemporalWindowArray(int theInputWindow, int thePredictWindow) Construct a time-series from an array.

Method Summary

Modifier and Type	Method and Description
void	analyze(double[] array) Analyze the 1D array.
void	analyze(double[][] array) Analyze the 2D array.
int	countInputFields() Count the number of input fields, or fields used to predict.
int	countPredictFields() Count the number of fields that are that are in the prediction.
TemporalWindowField[]	getFields()
int	getInputWindow()
int	getPredictWindow()
MLDataSet	process(double[] data) Process the array.
MLDataSet	process(double[][] data) Processes the specified data array in an IMLDataset.
MLDataPair	processToPair(double[] data) Process the data array and returns an MLdatapair.
void	setInputWindow(int theInputWindow)
void	setPredictWindow(int thePredictWindow)

Methods inherited from class java.lang.Object

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

Constructor Detail

TemporalWindowArray

public TemporalWindowArray(int theInputWindow,
                           int thePredictWindow)

Construct a time-series from an array.

Parameters:

theInputWindow - The size of the input window.

thePredictWindow - The size of the predict window.

Method Detail

analyze

public final void analyze(double[] array)

Analyze the 1D array.

Parameters:

array - The array to analyze.

analyze

public final void analyze(double[][] array)

Analyze the 2D array.

Parameters:

array - The 2D array to analyze.

countInputFields

public final int countInputFields()

Count the number of input fields, or fields used to predict.

Returns:

The number of input fields.

countPredictFields

public final int countPredictFields()

Count the number of fields that are that are in the prediction.

Returns:

The number of fields predicted.

getFields

public final TemporalWindowField[] getFields()

Returns:

The fields that are to be processed.

getInputWindow

public final int getInputWindow()

Returns:

the inputWindow

getPredictWindow

public final int getPredictWindow()

Returns:

the predictWindow

process

public final MLDataSet process(double[] data)

Process the array.

Parameters:

data - The array to process.

Returns:

A neural data set that contains the time-series.

setInputWindow

public final void setInputWindow(int theInputWindow)

Parameters:

theInputWindow - the inputWindow to set

setPredictWindow

public final void setPredictWindow(int thePredictWindow)

Parameters:

thePredictWindow - the predictWindow to set

process

public MLDataSet process(double[][] data)

Processes the specified data array in an IMLDataset. You can send a [][] array directly with this method.

Parameters:

data - The data.

Returns:

The data set.

processToPair

public MLDataPair processToPair(double[] data)

Process the data array and returns an MLdatapair.

Parameters:

data - The array to process.

Returns:

MLDatapair containing data.