Class Anomaly.Builder
- All Implemented Interfaces:
WithJson<Anomaly.Builder>,ObjectBuilder<Anomaly>
- Enclosing class:
- Anomaly
Anomaly.-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionfinal Anomaly.BuilderThe actual value for the bucket.final Anomaly.BuilderThe actual value for the bucket.final Anomaly.BuilderInformation about the factors impacting the initial anomaly score.final Anomaly.BuilderInformation about the factors impacting the initial anomaly score.final Anomaly.BuilderbucketSpan(long value) Required - The length of the bucket in seconds.build()Builds aAnomaly.final Anomaly.BuilderbyFieldName(String value) The field used to split the data.final Anomaly.BuilderbyFieldValue(String value) The value ofby_field_name.final Anomaly.Buildercauses(AnomalyCause value, AnomalyCause... values) For population analysis, an over field must be specified in the detector.final Anomaly.BuilderFor population analysis, an over field must be specified in the detector.final Anomaly.Buildercauses(List<AnomalyCause> list) For population analysis, an over field must be specified in the detector.final Anomaly.BuilderdetectorIndex(int value) Required - A unique identifier for the detector.final Anomaly.BuilderCertain functions require a field to operate on, for example,sum().final Anomaly.BuilderThe function in which the anomaly occurs, as specified in the detector configuration.final Anomaly.BuilderfunctionDescription(String value) The description of the function in which the anomaly occurs, as specified in the detector configuration.final Anomaly.BuildergeoResults(GeoResults value) If the detector function islat_long, this object contains comma delimited strings for the latitude and longitude of the actual and typical values.final Anomaly.BuilderIf the detector function islat_long, this object contains comma delimited strings for the latitude and longitude of the actual and typical values.final Anomaly.Builderinfluencers(Influence value, Influence... values) If influencers were specified in the detector configuration, this array contains influencers that contributed to or were to blame for an anomaly.final Anomaly.BuilderIf influencers were specified in the detector configuration, this array contains influencers that contributed to or were to blame for an anomaly.final Anomaly.Builderinfluencers(List<Influence> list) If influencers were specified in the detector configuration, this array contains influencers that contributed to or were to blame for an anomaly.final Anomaly.BuilderinitialRecordScore(double value) Required - A normalized score between 0-100, which is based on the probability of the anomalousness of this record.final Anomaly.BuilderisInterim(boolean value) Required - If true, this is an interim result.final Anomaly.BuilderRequired - Identifier for the anomaly detection job.final Anomaly.BuilderoverFieldName(String value) The field used to split the data.final Anomaly.BuilderoverFieldValue(String value) The value ofover_field_name.final Anomaly.BuilderpartitionFieldName(String value) The field used to segment the analysis.final Anomaly.BuilderpartitionFieldValue(String value) The value ofpartition_field_name.final Anomaly.Builderprobability(double value) Required - The probability of the individual anomaly occurring, in the range 0 to 1.final Anomaly.BuilderrecordScore(double value) Required - A normalized score between 0-100, which is based on the probability of the anomalousness of this record.final Anomaly.BuilderresultType(String value) Required - Internal.protected Anomaly.Builderself()final Anomaly.Buildertimestamp(long value) Required - The start time of the bucket for which these results were calculated.final Anomaly.BuilderThe typical value for the bucket, according to analytical modeling.final Anomaly.BuilderThe typical value for the bucket, according to analytical modeling.Methods inherited from class co.elastic.clients.util.WithJsonObjectBuilderBase
withJsonMethods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
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Constructor Details
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Builder
public Builder()
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Method Details
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actual
The actual value for the bucket.API name:
actualAdds all elements of
listtoactual. -
actual
The actual value for the bucket.API name:
actualAdds one or more values to
actual. -
anomalyScoreExplanation
Information about the factors impacting the initial anomaly score.API name:
anomaly_score_explanation -
anomalyScoreExplanation
public final Anomaly.Builder anomalyScoreExplanation(Function<AnomalyExplanation.Builder, ObjectBuilder<AnomalyExplanation>> fn) Information about the factors impacting the initial anomaly score.API name:
anomaly_score_explanation -
bucketSpan
Required - The length of the bucket in seconds. This value matches thebucket_spanthat is specified in the job.API name:
bucket_span -
byFieldName
The field used to split the data. In particular, this property is used for analyzing the splits with respect to their own history. It is used for finding unusual values in the context of the split.API name:
by_field_name -
byFieldValue
The value ofby_field_name.API name:
by_field_value -
causes
For population analysis, an over field must be specified in the detector. This property contains an array of anomaly records that are the causes for the anomaly that has been identified for the over field. This sub-resource contains the most anomalous records for theover_field_name. For scalability reasons, a maximum of the 10 most significant causes of the anomaly are returned. As part of the core analytical modeling, these low-level anomaly records are aggregated for their parent over field record. Thecausesresource contains similar elements to the record resource, namelyactual,typical,geo_results.actual_point,geo_results.typical_point,*_field_nameand*_field_value. Probability and scores are not applicable to causes.API name:
causesAdds all elements of
listtocauses. -
causes
For population analysis, an over field must be specified in the detector. This property contains an array of anomaly records that are the causes for the anomaly that has been identified for the over field. This sub-resource contains the most anomalous records for theover_field_name. For scalability reasons, a maximum of the 10 most significant causes of the anomaly are returned. As part of the core analytical modeling, these low-level anomaly records are aggregated for their parent over field record. Thecausesresource contains similar elements to the record resource, namelyactual,typical,geo_results.actual_point,geo_results.typical_point,*_field_nameand*_field_value. Probability and scores are not applicable to causes.API name:
causesAdds one or more values to
causes. -
causes
For population analysis, an over field must be specified in the detector. This property contains an array of anomaly records that are the causes for the anomaly that has been identified for the over field. This sub-resource contains the most anomalous records for theover_field_name. For scalability reasons, a maximum of the 10 most significant causes of the anomaly are returned. As part of the core analytical modeling, these low-level anomaly records are aggregated for their parent over field record. Thecausesresource contains similar elements to the record resource, namelyactual,typical,geo_results.actual_point,geo_results.typical_point,*_field_nameand*_field_value. Probability and scores are not applicable to causes.API name:
causesAdds a value to
causesusing a builder lambda. -
detectorIndex
Required - A unique identifier for the detector.API name:
detector_index -
fieldName
Certain functions require a field to operate on, for example,sum(). For those functions, this value is the name of the field to be analyzed.API name:
field_name -
function
The function in which the anomaly occurs, as specified in the detector configuration. For example,max.API name:
function -
functionDescription
The description of the function in which the anomaly occurs, as specified in the detector configuration.API name:
function_description -
geoResults
If the detector function islat_long, this object contains comma delimited strings for the latitude and longitude of the actual and typical values.API name:
geo_results -
geoResults
If the detector function islat_long, this object contains comma delimited strings for the latitude and longitude of the actual and typical values.API name:
geo_results -
influencers
If influencers were specified in the detector configuration, this array contains influencers that contributed to or were to blame for an anomaly.API name:
influencersAdds all elements of
listtoinfluencers. -
influencers
If influencers were specified in the detector configuration, this array contains influencers that contributed to or were to blame for an anomaly.API name:
influencersAdds one or more values to
influencers. -
influencers
If influencers were specified in the detector configuration, this array contains influencers that contributed to or were to blame for an anomaly.API name:
influencersAdds a value to
influencersusing a builder lambda. -
initialRecordScore
Required - A normalized score between 0-100, which is based on the probability of the anomalousness of this record. This is the initial value that was calculated at the time the bucket was processed.API name:
initial_record_score -
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 -
overFieldName
The field used to split the data. In particular, this property is used for analyzing the splits with respect to the history of all splits. It is used for finding unusual values in the population of all splits.API name:
over_field_name -
overFieldValue
The value ofover_field_name.API name:
over_field_value -
partitionFieldName
The field used to segment the analysis. When you use this property, you have completely independent baselines for each value of this field.API name:
partition_field_name -
partitionFieldValue
The value ofpartition_field_name.API name:
partition_field_value -
probability
Required - The probability of the individual anomaly occurring, in the range 0 to 1. For example,0.0000772031. This value can be held to a high precision of over 300 decimal places, so therecord_scoreis provided as a human-readable and friendly interpretation of this.API name:
probability -
recordScore
Required - A normalized score between 0-100, which is based on the probability of the anomalousness of this record. Unlikeinitial_record_score, this value will be updated by a re-normalization process as new data is analyzed.API name:
record_score -
resultType
Required - Internal. This is always set torecord.API name:
result_type -
timestamp
Required - The start time of the bucket for which these results were calculated.API name:
timestamp -
typical
The typical value for the bucket, according to analytical modeling.API name:
typicalAdds all elements of
listtotypical. -
typical
The typical value for the bucket, according to analytical modeling.API name:
typicalAdds one or more values to
typical. -
self
- Specified by:
selfin classWithJsonObjectBuilderBase<Anomaly.Builder>
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build
Builds aAnomaly.- Specified by:
buildin interfaceObjectBuilder<Anomaly>- Throws:
NullPointerException- if some of the required fields are null.
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