ADerivateFilter (jaicore-basic 0.2.3 API)

java.lang.Object
- ai.libs.jaicore.basic.transform.vector.derivate.ADerivateFilter

All Implemented Interfaces:

ITransformation<double[]>, IVectorTransform

Direct Known Subclasses:

BackwardDifferenceDerivate, ForwardDifferenceDerivate, GulloDerivate, KeoghDerivate
```
public abstract class ADerivateFilter
extends java.lang.Object
implements IVectorTransform
```
Abstract superclass for all derivate filters.

Field Summary

Fields
Modifier and Type	Field	Description
`protected boolean`	`withBoundaries`	Flag that states wheter the filter should add a padding to the derivate assure that is has the same length as the origin time series or not.

Constructor Summary

Constructors
Constructor Description

ADerivateFilter()

ADerivateFilter(boolean withBoundaries)

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`protected abstract double[]`	`derivate(double[] t)`	Calculates the derivate of a time series.
`protected abstract double[]`	`derivateWithBoundaries(double[] t)`	Calcuates the derivates of a time series.
`double[]`	`transform(double[] input)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - withBoundaries
```
protected boolean withBoundaries
```
    Flag that states wheter the filter should add a padding to the derivate assure that is has the same length as the origin time series or not.
- Constructor Detail
  - ADerivateFilter
```
public ADerivateFilter(boolean withBoundaries)
```
  - ADerivateFilter
```
public ADerivateFilter()
```
- Method Detail
  - derivate
```
protected abstract double[] derivate(double[] t)
```
    Calculates the derivate of a time series.
    
    Parameters:
    
    t - The time series to calculate the derivate for.
    
    Returns:
    
    The derivate of the time series.
  - derivateWithBoundaries
```
protected abstract double[] derivateWithBoundaries(double[] t)
```
    Calcuates the derivates of a time series. In contrast to the normal derivate(double[]) calculation, this method is guaranteed to return a derivate that has the same length than the original time series. This is accomplished via padding.
    
    Parameters:
    
    t - The time series to calculate the derivate for.
    
    Returns:
    
    The, possibly padded, derivate of the time series.
  - transform
```
public double[] transform(double[] input)
```
    Specified by:
    
    transform in interface ITransformation<double[]>