Class BucketInfluencer
java.lang.Object
co.elastic.clients.elasticsearch.ml.BucketInfluencer
- All Implemented Interfaces:
JsonpSerializable
- See Also:
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Nested Class Summary
Nested Classes -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final JsonpDeserializer<BucketInfluencer>Json deserializer forBucketInfluencer -
Method Summary
Modifier and TypeMethodDescriptionfinal doubleRequired - A normalized score between 0-100, which is calculated for each bucket influencer.final longRequired - The length of the bucket in seconds.final StringRequired - The field name of the influencer.final doubleRequired - The score between 0-100 for each bucket influencer.final booleanRequired - If true, this is an interim result.final StringjobId()Required - Identifier for the anomaly detection job.static BucketInfluencerfinal doubleRequired - The probability that the bucket has this behavior, in the range 0 to 1.final doubleRequired - Internal.final StringRequired - Internal.voidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static voidfinal longRequired - The start time of the bucket for which these results were calculated.final DateTimeThe start time of the bucket for which these results were calculated.toString()
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Field Details
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_DESERIALIZER
Json deserializer forBucketInfluencer
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Method Details
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of
public static BucketInfluencer of(Function<BucketInfluencer.Builder, ObjectBuilder<BucketInfluencer>> fn) -
anomalyScore
public final double anomalyScore()Required - A normalized score between 0-100, which is calculated for each bucket influencer. This score might be updated as newer data is analyzed.API name:
anomaly_score -
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 -
influencerFieldName
Required - The field name of the influencer.API name:
influencer_field_name -
initialAnomalyScore
public final double initialAnomalyScore()Required - The score between 0-100 for each bucket influencer. This score is the initial value that was calculated at the time the bucket was processed.API name:
initial_anomaly_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
Required - Identifier for the anomaly detection job.API name:
job_id -
probability
public final double probability()Required - The probability that the bucket has this behavior, in the range 0 to 1. This value can be held to a high precision of over 300 decimal places, so theanomaly_scoreis provided as a human-readable and friendly interpretation of this.API name:
probability -
rawAnomalyScore
public final double rawAnomalyScore()Required - Internal.API name:
raw_anomaly_score -
resultType
Required - Internal. This value is always set tobucket_influencer.API name:
result_type -
timestamp
public final long timestamp()Required - The start time of the bucket for which these results were calculated.API name:
timestamp -
timestampString
The start time of the bucket for which these results were calculated.API name:
timestamp_string -
serialize
Serialize this object to JSON.- Specified by:
serializein interfaceJsonpSerializable
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serializeInternal
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toString
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setupBucketInfluencerDeserializer
protected static void setupBucketInfluencerDeserializer(ObjectDeserializer<BucketInfluencer.Builder> op)
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