Package co.elastic.clients.elasticsearch.ml

Class Influencer

java.lang.Object
co.elastic.clients.elasticsearch.ml.Influencer
All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class Influencer
extends java.lang.Object
implements JsonpSerializable
See Also:
API specification

  • Nested Class Summary

    Nested Classes
    Modifier and Type Class Description
    static class  Influencer.Builder
    Builder for Influencer.

  • Field Summary

    Fields
    Modifier and Type Field Description
    static JsonpDeserializer<Influencer> _DESERIALIZER
    Json deserializer for Influencer

  • Method Summary

    Modifier and Type Method Description
    long bucketSpan()
    Required - The length of the bucket in seconds.
    java.lang.String foo()
    Additional influencer properties are added, depending on the fields being analyzed.
    java.lang.String influencerFieldName()
    Required - The field name of the influencer.
    java.lang.String influencerFieldValue()
    Required - The entity that influenced, contributed to, or was to blame for the anomaly.
    double influencerScore()
    Required - A normalized score between 0-100, which is based on the probability of the influencer in this bucket aggregated across detectors.
    double initialInfluencerScore()
    Required - A normalized score between 0-100, which is based on the probability of the influencer aggregated across detectors.
    boolean isInterim()
    Required - If true, this is an interim result.
    java.lang.String jobId()
    Required - Identifier for the anomaly detection job.
    static Influencer of​(java.util.function.Function<Influencer.Builder,​ObjectBuilder<Influencer>> fn)  
    double probability()
    Required - The probability that the influencer has this behavior, in the range 0 to 1.
    java.lang.String resultType()
    Required - Internal.
    void serialize​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
    Serialize this object to JSON.
    protected void serializeInternal​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)  
    protected static void setupInfluencerDeserializer​(ObjectDeserializer<Influencer.Builder> op)  
    Time timestamp()
    Required - The start time of the bucket for which these results were calculated.
    java.lang.String toString()  

    Methods inherited from class java.lang.Object

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

  • Field Details

  • Method Details

    • of

      public static Influencer of​(java.util.function.Function<Influencer.Builder,​ObjectBuilder<Influencer>> fn)

    • bucketSpan

      public final long bucketSpan()
      Required - The length of the bucket in seconds. This value matches the bucket span that is specified in the job.

      API name: bucket_span

    • influencerScore

      public final double influencerScore()
      Required - A normalized score between 0-100, which is based on the probability of the influencer in this bucket aggregated across detectors. Unlike initial_influencer_score, this value is updated by a re-normalization process as new data is analyzed.

      API name: influencer_score

    • influencerFieldName

      public final java.lang.String influencerFieldName()
      Required - The field name of the influencer.

      API name: influencer_field_name

    • influencerFieldValue

      public final java.lang.String influencerFieldValue()
      Required - The entity that influenced, contributed to, or was to blame for the anomaly.

      API name: influencer_field_value

    • initialInfluencerScore

      public final double initialInfluencerScore()
      Required - A normalized score between 0-100, which is based on the probability of the influencer aggregated across detectors. This is the initial value that was calculated at the time the bucket was processed.

      API name: initial_influencer_score

    • isInterim

      public final boolean isInterim()
      Required - If true, this is an interim result. In other words, the results are calculated based on partial input data.

      API name: is_interim

    • jobId

      public final java.lang.String jobId()
      Required - Identifier for the anomaly detection job.

      API name: job_id

    • probability

      public final double probability()
      Required - The probability that the influencer has this behavior, in the range 0 to 1. This value can be held to a high precision of over 300 decimal places, so the influencer_score is provided as a human-readable and friendly interpretation of this value.

      API name: probability

    • resultType

      public final java.lang.String resultType()
      Required - Internal. This value is always set to influencer.

      API name: result_type

    • timestamp

      public final Time timestamp()
      Required - The start time of the bucket for which these results were calculated.

      API name: timestamp

    • foo

      @Nullable public final java.lang.String foo()
      Additional influencer properties are added, depending on the fields being analyzed. For example, if it’s analyzing user_name as an influencer, a field user_name is added to the result document. This information enables you to filter the anomaly results more easily.

      API name: foo

    • serialize

      public void serialize​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
      Serialize this object to JSON.
      Specified by:
      serialize in interface JsonpSerializable

    • serializeInternal

      protected void serializeInternal​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)

    • toString

      public java.lang.String toString()
      Overrides:
      toString in class java.lang.Object

    • setupInfluencerDeserializer

      protected static void setupInfluencerDeserializer​(ObjectDeserializer<Influencer.Builder> op)