Get overall bucket results Added in 6.1.0

GET /_ml/anomaly_detectors/{job_id}/results/overall_buckets

Retrievs overall bucket results that summarize the bucket results of multiple anomaly detection jobs.

The overall_score is calculated by combining the scores of all the buckets within the overall bucket span. First, the maximum anomaly_score per anomaly detection job in the overall bucket is calculated. Then the top_n of those scores are averaged to result in the overall_score. This means that you can fine-tune the overall_score so that it is more or less sensitive to the number of jobs that detect an anomaly at the same time. For example, if you set top_n to 1, the overall_score is the maximum bucket score in the overall bucket. Alternatively, if you set top_n to the number of jobs, the overall_score is high only when all jobs detect anomalies in that overall bucket. If you set the bucket_span parameter (to a value greater than its default), the overall_score is the maximum overall_score of the overall buckets that have a span equal to the jobs' largest bucket span.

Path parameters

  • job_id string Required

    Identifier for the anomaly detection job. It can be a job identifier, a group name, a comma-separated list of jobs or groups, or a wildcard expression.

    You can summarize the bucket results for all anomaly detection jobs by using _all or by specifying * as the <job_id>.

Query parameters

  • allow_no_match boolean

    Specifies what to do when the request:

    1. Contains wildcard expressions and there are no jobs that match.
    2. Contains the _all string or no identifiers and there are no matches.
    3. Contains wildcard expressions and there are only partial matches.

    If true, the request returns an empty jobs array when there are no matches and the subset of results when there are partial matches. If this parameter is false, the request returns a 404 status code when there are no matches or only partial matches.

  • bucket_span string

    The span of the overall buckets. Must be greater or equal to the largest bucket span of the specified anomaly detection jobs, which is the default value.

    By default, an overall bucket has a span equal to the largest bucket span of the specified anomaly detection jobs. To override that behavior, use the optional bucket_span parameter.

  • end string | number

    Returns overall buckets with timestamps earlier than this time.

  • exclude_interim boolean

    If true, the output excludes interim results.

  • overall_score number | string

    Returns overall buckets with overall scores greater than or equal to this value.

  • start string | number

    Returns overall buckets with timestamps after this time.

  • top_n number

    The number of top anomaly detection job bucket scores to be used in the overall_score calculation.

application/json

Body

  • allow_no_match boolean

    Refer to the description for the allow_no_match query parameter.

  • bucket_span string

    A duration. Units can be nanos, micros, ms (milliseconds), s (seconds), m (minutes), h (hours) and d (days). Also accepts "0" without a unit and "-1" to indicate an unspecified value.

  • end string | number

    A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

    One of:
    _types:DateTime string _types:UnitMillis number

    Time unit for milliseconds

  • exclude_interim boolean

    Refer to the description for the exclude_interim query parameter.

  • overall_score number | string

    Refer to the description for the overall_score query parameter.

    One of:
    number-1 number string-2 string

  • start string | number

    A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

    One of:
    _types:DateTime string _types:UnitMillis number

    Time unit for milliseconds

  • top_n number

    Refer to the description for the top_n query parameter.

Responses

  • 200 application/json
    Hide response attributes Show response attributes object
    • count number Required
    • overall_buckets array[object] Required

      Array of overall bucket objects

      Hide overall_buckets attributes Show overall_buckets attributes object
      • bucket_span number

        Time unit for seconds

      • is_interim boolean Required

        If true, this is an interim result. In other words, the results are calculated based on partial input data.

      • jobs array[object] Required

        An array of objects that contain the max_anomaly_score per job_id.

        Hide jobs attributes Show jobs attributes object
      • overall_score number Required

        The top_n average of the maximum bucket anomaly_score per job.

      • result_type string Required

        Internal. This is always set to overall_bucket.

      • timestamp number

        Time unit for milliseconds

      • timestamp_string string | number

        A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

        One of:
        _types:DateTime string _types:UnitMillis number

        Time unit for milliseconds
GET /_ml/anomaly_detectors/{job_id}/results/overall_buckets 
curl \
 -X GET http://api.example.com/_ml/anomaly_detectors/{job_id}/results/overall_buckets \
 -H "Content-Type: application/json" \
 -d '{"allow_no_match":true,"bucket_span":"string","":"string","exclude_interim":true,"overall_score":42.0,"top_n":42.0}'
Request examples 
{
  "allow_no_match": true,
  "bucket_span": "string",
  "": "string",
  "exclude_interim": true,
  "overall_score": 42.0,
  "top_n": 42.0
}
Response examples (200) 
{
  "count": 42.0,
  "overall_buckets": [
    {
      "": "string",
      "is_interim": true,
      "jobs": [
        {
          "job_id": "string",
          "max_anomaly_score": 42.0
        }
      ],
      "overall_score": 42.0,
      "result_type": "string"
    }
  ]
}