org.elasticsearch.search.aggregations.pipeline.movavg.models

Class HoltWintersModel.HoltWintersModelBuilder

java.lang.Object

org.elasticsearch.search.aggregations.pipeline.movavg.models.HoltWintersModel.HoltWintersModelBuilder

All Implemented Interfaces:

ToXContent, MovAvgModelBuilder

Enclosing class:

HoltWintersModel

public static class HoltWintersModel.HoltWintersModelBuilder
extends java.lang.Object
implements MovAvgModelBuilder

Nested Class Summary

Nested classes/interfaces inherited from interface org.elasticsearch.common.xcontent.ToXContent

ToXContent.DelegatingMapParams, ToXContent.MapParams, ToXContent.Params

Field Summary

Fields inherited from interface org.elasticsearch.common.xcontent.ToXContent

EMPTY_PARAMS

Constructor Summary

Constructors

Constructor and Description
HoltWintersModelBuilder()

Method Summary

Modifier and Type	Method and Description
HoltWintersModel.HoltWintersModelBuilder	alpha(double alpha) Alpha controls the smoothing of the data.
HoltWintersModel.HoltWintersModelBuilder	beta(double beta) Equivalent to alpha, but controls the smoothing of the trend instead of the data
MovAvgModel	build()
HoltWintersModel.HoltWintersModelBuilder	gamma(double gamma)
HoltWintersModel.HoltWintersModelBuilder	pad(boolean pad)
HoltWintersModel.HoltWintersModelBuilder	period(int period)
HoltWintersModel.HoltWintersModelBuilder	seasonalityType(HoltWintersModel.SeasonalityType type)
XContentBuilder	toXContent(XContentBuilder builder, ToXContent.Params params)

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.elasticsearch.common.xcontent.ToXContent

isFragment

Constructor Detail

HoltWintersModelBuilder

public HoltWintersModelBuilder()

Method Detail

alpha

public HoltWintersModel.HoltWintersModelBuilder alpha(double alpha)

Alpha controls the smoothing of the data. Alpha = 1 retains no memory of past values (e.g. a random walk), while alpha = 0 retains infinite memory of past values (e.g. the series mean). Useful values are somewhere in between. Defaults to 0.5.

Parameters:

alpha - A double between 0-1 inclusive, controls data smoothing

Returns:

The builder to continue chaining

beta

public HoltWintersModel.HoltWintersModelBuilder beta(double beta)

Equivalent to alpha, but controls the smoothing of the trend instead of the data

Parameters:

beta - a double between 0-1 inclusive, controls trend smoothing

Returns:

The builder to continue chaining

gamma

public HoltWintersModel.HoltWintersModelBuilder gamma(double gamma)

period

public HoltWintersModel.HoltWintersModelBuilder period(int period)

seasonalityType

public HoltWintersModel.HoltWintersModelBuilder seasonalityType(HoltWintersModel.SeasonalityType type)

pad

public HoltWintersModel.HoltWintersModelBuilder pad(boolean pad)

toXContent

public XContentBuilder toXContent(XContentBuilder builder,
                                  ToXContent.Params params)
                           throws java.io.IOException

Specified by:

toXContent in interface ToXContent

Throws:

java.io.IOException

build

public MovAvgModel build()

Specified by:

build in interface MovAvgModelBuilder