IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Add anomaly detection jobs to calendar API
editAdd anomaly detection jobs to calendar API
editAdds an anomaly detection job to a calendar.
Request
editPUT _ml/calendars/<calendar_id>/jobs/<job_id>
Prerequisites
editRequires the manage_ml
cluster privilege. This privilege is included in the
machine_learning_admin
built-in role.
Path parameters
edit-
<calendar_id>
- (Required, string) A string that uniquely identifies a calendar.
-
<job_id>
- (Required, string) An identifier for the anomaly detection jobs. It can be a job identifier, a group name, or a comma-separated list of jobs or groups.
Examples
editresp = client.ml.put_calendar_job( calendar_id="planned-outages", job_id="total-requests", ) print(resp)
response = client.ml.put_calendar_job( calendar_id: 'planned-outages', job_id: 'total-requests' ) puts response
const response = await client.ml.putCalendarJob({ calendar_id: "planned-outages", job_id: "total-requests", }); console.log(response);
PUT _ml/calendars/planned-outages/jobs/total-requests
The API returns the following results:
{ "calendar_id": "planned-outages", "job_ids": [ "total-requests" ] }