elasticsearch-js/docs/reference/api/MlBucketInfluencer.md

MlBucketInfluencer [interface-MlBucketInfluencer]

Name	Type	Description
anomaly_score	double	A normalized score between 0-100, which is calculated for each bucket influencer. This score might be updated as newer data is analyzed.
bucket_span	DurationValue<UnitSeconds>	The length of the bucket in seconds. This value matches the bucket span that is specified in the job.
influencer_field_name	Field	The field name of the influencer.
initial_anomaly_score	double	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.
is_interim	boolean	If true, this is an interim result. In other words, the results are calculated based on partial input data.
job_id	Id	Identifier for the anomaly detection job.
probability	double	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 the anomaly_score is provided as a human-readable and friendly interpretation of this.
raw_anomaly_score	double	Internal.
result_type	string	Internal. This value is always set to bucket_influencer.
timestamp_string	DateTime	The start time of the bucket for which these results were calculated.
timestamp	EpochTime<UnitMillis>	The start time of the bucket for which these results were calculated.