Package org.elasticsearch.search.aggregations.pipeline

Class HoltLinearModel.HoltLinearModelBuilder

java.lang.Object
org.elasticsearch.search.aggregations.pipeline.HoltLinearModel.HoltLinearModelBuilder
All Implemented Interfaces:
org.elasticsearch.common.xcontent.ToXContent, org.elasticsearch.common.xcontent.ToXContentFragment, MovAvgModelBuilder
Enclosing class:
HoltLinearModel
public static class HoltLinearModel.HoltLinearModelBuilder extends Object implements MovAvgModelBuilder

  • Nested Class Summary

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

    org.elasticsearch.common.xcontent.ToXContent.DelegatingMapParams, org.elasticsearch.common.xcontent.ToXContent.MapParams, org.elasticsearch.common.xcontent.ToXContent.Params

  • Field Summary

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

    EMPTY_PARAMS

  • Constructor Summary

    Constructors
    Constructor
    Description
    HoltLinearModelBuilder()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    HoltLinearModel.HoltLinearModelBuilder
    alpha(double alpha)
    Alpha controls the smoothing of the data.
    HoltLinearModel.HoltLinearModelBuilder
    beta(double beta)
    Equivalent to alpha, but controls the smoothing of the trend instead of the data
    MovAvgModel
    build()
     
    org.elasticsearch.common.xcontent.XContentBuilder
    toXContent(org.elasticsearch.common.xcontent.XContentBuilder builder, org.elasticsearch.common.xcontent.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.ToXContentFragment

    isFragment

  • Constructor Details

    • HoltLinearModelBuilder

      public HoltLinearModelBuilder()

  • Method Details

    • alpha

      public HoltLinearModel.HoltLinearModelBuilder 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 HoltLinearModel.HoltLinearModelBuilder 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

    • toXContent

      public org.elasticsearch.common.xcontent.XContentBuilder toXContent(org.elasticsearch.common.xcontent.XContentBuilder builder, org.elasticsearch.common.xcontent.ToXContent.Params params) throws IOException
      Specified by:
      toXContent in interface org.elasticsearch.common.xcontent.ToXContent
      Throws:
      IOException

    • build

      public MovAvgModel build()
      Specified by:
      build in interface MovAvgModelBuilder