Package ai.libs.jaicore.ml.tsc.filter

Class SFA

java.lang.Object

ai.libs.jaicore.ml.tsc.filter.SFA

All Implemented Interfaces:

IFilter

public class SFA
extends java.lang.Object
implements IFilter

Constructor Summary

Constructors

Constructor	Description
SFA(double[] alphabet, int wordLength)

Method Summary

Modifier and Type	Method	Description
void	disableRekursiv()
void	enableRekursiv()
void	fit(double[] input)	The function only fits a single instance of the dataset
void	fit(double[][] input)
void	fit(TimeSeriesDataset input)	the function computes the needed information for the transform function.
double[]	fitTransform(double[] input)	the function fit and transforms a single instance
double[][]	fitTransform(double[][] input)
TimeSeriesDataset	fitTransform(TimeSeriesDataset input)	a utility function to avoid the added effort of calling the fit and transform function separate
void	setNumberOfDesieredDFTCoefficients(int numberOfDesieredDFTCoefficients)
double[]	transform(double[] input)	This function transforms only a single instance.
double[][]	transform(double[][] input)
TimeSeriesDataset	transform(TimeSeriesDataset input)	represents a function working on a dataset by transforming the dataset itself.

Methods inherited from class java.lang.Object

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

Constructor Detail

SFA

public SFA(double[] alphabet,
           int wordLength)

Method Detail

setNumberOfDesieredDFTCoefficients

public void setNumberOfDesieredDFTCoefficients(int numberOfDesieredDFTCoefficients)

disableRekursiv

public void disableRekursiv()

enableRekursiv

public void enableRekursiv()

transform

public TimeSeriesDataset transform(TimeSeriesDataset input)

Description copied from interface: IFilter

represents a function working on a dataset by transforming the dataset itself.

Specified by:

transform in interface IFilter

Parameters:

input - the data set that is to transform

Returns:

the transformt dataset

fit

public void fit(TimeSeriesDataset input)

Description copied from interface: IFilter

the function computes the needed information for the transform function.

Specified by:

fit in interface IFilter

Parameters:

input - the dataset that is to transform

fitTransform

public TimeSeriesDataset fitTransform(TimeSeriesDataset input)

Description copied from interface: IFilter

a utility function to avoid the added effort of calling the fit and transform function separate

Specified by:

fitTransform in interface IFilter

Parameters:

input - the dataset that is to be transfromed

Returns:

the transformed dataset

transform

public double[] transform(double[] input)

Description copied from interface: IFilter

This function transforms only a single instance.

Specified by:

transform in interface IFilter

Parameters:

input - the to transform instance

Returns:

the transformed instance

fit

public void fit(double[] input)

Description copied from interface: IFilter

The function only fits a single instance of the dataset

Specified by:

fit in interface IFilter

Parameters:

input - The to fit instance

fitTransform

public double[] fitTransform(double[] input)

Description copied from interface: IFilter

the function fit and transforms a single instance

Specified by:

fitTransform in interface IFilter

Parameters:

input - the to fit and transform instance

Returns:

the transformed instance

transform

public double[][] transform(double[][] input)

Specified by:

transform in interface IFilter

fit

public void fit(double[][] input)

Specified by:

fit in interface IFilter

fitTransform

public double[][] fitTransform(double[][] input)

Specified by:

fitTransform in interface IFilter