ai.libs.jaicore.ml.tsc.filter

Class DFT

java.lang.Object

ai.libs.jaicore.ml.tsc.filter.AFilter

ai.libs.jaicore.ml.tsc.filter.DFT

All Implemented Interfaces:

IFilter

public class DFT
extends AFilter

Constructor Summary

Constructors

Constructor and Description
DFT()

Method Summary

Modifier and Type	Method and Description
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)
double[][]	rekursivDFT(double[][] input)
TimeSeriesDataset	rekursivDFT(TimeSeriesDataset input)
void	setMeanCorrected(boolean meanCorrected)
void	setNumberOfDisieredCoefficients(int numberOfDisieredCoefficients)
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 ai.libs.jaicore.ml.tsc.filter.AFilter

fitTransform

Methods inherited from class java.lang.Object

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

Constructor Detail

DFT

public DFT()

Method Detail

setNumberOfDisieredCoefficients

public void setNumberOfDisieredCoefficients(int numberOfDisieredCoefficients)

setMeanCorrected

public void setMeanCorrected(boolean meanCorrected)

transform

public TimeSeriesDataset transform(TimeSeriesDataset input)

Description copied from interface: IFilter

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

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.

Parameters:

input - the dataset that is to transform

transform

public double[] transform(double[] input)

Description copied from interface: IFilter

This function transforms only a single instance.

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

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

Parameters:

input - the to fit and transform instance

Returns:

the transformed instance

transform

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

fit

public void fit(double[][] input)

fitTransform

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

rekursivDFT

public double[][] rekursivDFT(double[][] input)

rekursivDFT

public TimeSeriesDataset rekursivDFT(TimeSeriesDataset input)