com.github.servicenow.ds.stats.stl

Class LoessSmoother

java.lang.Object

com.github.servicenow.ds.stats.stl.LoessSmoother

public class LoessSmoother
extends java.lang.Object

LoessSmoother uses LOESS interpolation to compute a smoothed data set from a regularly-spaced set of input data. If a jump is specified, then LOESS interpolation is only done on every jump points and linear interpolation is done to fill in the gaps.

Author: Jim Crotinger, ported from the original RATFOR source from netlib

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LoessSmoother.Builder

Method Summary

Modifier and Type	Method and Description
com.github.servicenow.ds.stats.stl.LoessInterpolator	getInterpolator() Accessor to retrieve the underlying interpolator.
double[]	smooth() Calculate the LOESS smoothed data for each original data point.

Methods inherited from class java.lang.Object

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

Method Detail

getInterpolator

public com.github.servicenow.ds.stats.stl.LoessInterpolator getInterpolator()

Accessor to retrieve the underlying interpolator.

Returns:

LoessInterpolator the underlying interpolators

smooth

public double[] smooth()

Calculate the LOESS smoothed data for each original data point.

Returns:

double[] array containing the results