NOTE: You are looking at documentation for an older release. For the latest information, see the current release documentation.
Get influencers API
editGet influencers API
editRetrieves job results for one or more influencers.
Request
editGET _xpack/ml/anomaly_detectors/<job_id>/results/influencers
Path Parameters
edit-
job_id
- (string) Identifier for the job.
Request Body
edit-
desc
- (boolean) If true, the results are sorted in descending order.
-
end
- (string) Returns influencers with timestamps earlier than this time.
-
exclude_interim
- (boolean) If true, the output excludes interim results. By default, interim results are included.
-
influencer_score
- (double) Returns influencers with anomaly scores greater or equal than this value.
-
page
-
-
from
- (integer) Skips the specified number of influencers.
-
size
- (integer) Specifies the maximum number of influencers to obtain.
-
-
sort
-
(string) Specifies the sort field for the requested influencers.
By default the influencers are sorted by the
influencer_score
value. -
start
- (string) Returns influencers with timestamps after this time.
Results
editThe API returns the following information:
-
influencers
- (array) An array of influencer objects. For more information, see Influencers.
Authorization
editYou must have monitor_ml
, monitor
, manage_ml
, or manage
cluster
privileges to use this API. You also need read
index privilege on the index
that stores the results. The machine_learning_admin
and machine_learning_user
roles provide these privileges. For more information, see
Security privileges and Built-in roles.
Examples
editThe following example gets influencer information for the it_ops_new_kpi
job:
GET _xpack/ml/anomaly_detectors/it_ops_new_kpi/results/influencers { "sort": "influencer_score", "desc": true }
In this example, the API returns the following information, sorted based on the influencer score in descending order:
{ "count": 28, "influencers": [ { "job_id": "it_ops_new_kpi", "result_type": "influencer", "influencer_field_name": "kpi_indicator", "influencer_field_value": "online_purchases", "kpi_indicator": "online_purchases", "influencer_score": 94.1386, "initial_influencer_score": 94.1386, "probability": 0.000111612, "bucket_span": 600, "is_interim": false, "timestamp": 1454943600000 }, ... ] }