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

MlBucketSummary [interface-MlBucketSummary]

Name	Type	Description
anomaly_score	double	The maximum anomaly score, between 0-100, for any of the bucket influencers. This is an overall, rate-limited score for the job. All the anomaly records in the bucket contribute to this score. This value might be updated as new data is analyzed.
bucket_influencers	MlBucketInfluencer[]
bucket_span	DurationValue<UnitSeconds>	The length of the bucket in seconds. This value matches the bucket span that is specified in the job.
event_count	long	The number of input data records processed in this bucket.
initial_anomaly_score	double	The maximum anomaly score for any of the bucket influencers. This 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.
processing_time_ms	DurationValue<UnitMillis>	The amount of time, in milliseconds, that it took to analyze the bucket contents and calculate results.
result_type	string	Internal. This value is always set to bucket.
timestamp_string	DateTime	The start time of the bucket. This timestamp uniquely identifies the bucket. Events that occur exactly at the timestamp of the bucket are included in the results for the bucket.
timestamp	EpochTime<UnitMillis>	The start time of the bucket. This timestamp uniquely identifies the bucket. Events that occur exactly at the timestamp of the bucket are included in the results for the bucket.