Package co.elastic.clients.elasticsearch.ml

Class BucketInfluencer

java.lang.Object
co.elastic.clients.elasticsearch.ml.BucketInfluencer
All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public final class BucketInfluencer
extends java.lang.Object
implements JsonpSerializable

  • Field Details

  • Constructor Details

  • Method Details

    • bucketSpan

      public long bucketSpan()
      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 double influencerScore()
      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 will be updated by a re-normalization process as new data is analyzed.

      API name: influencer_score

    • influencerFieldName

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

      API name: influencer_field_name

    • influencerFieldValue

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

      API name: influencer_field_value

    • initialInfluencerScore

      public double initialInfluencerScore()
      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 boolean isInterim()
      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 java.lang.String jobId()
      Identifier for the anomaly detection job.

      API name: job_id

    • probability

      public double probability()
      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.

      API name: probability

    • resultType

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

      API name: result_type

    • timestamp

      public java.lang.String timestamp()
      The start time of the bucket for which these results were calculated.

      API name: timestamp

    • foo

      @Nullable public java.lang.String foo()
      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)

    • setupBucketInfluencerDeserializer

      protected static void setupBucketInfluencerDeserializer​(DelegatingDeserializer<BucketInfluencer.Builder> op)