IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Delete anomaly detection jobs from calendar APIedit
Deletes anomaly detection jobs from a calendar.
Requestedit
DELETE _ml/calendars/<calendar_id>/jobs/<job_id>
Prerequisitesedit
Requires the manage_ml
cluster privilege. This privilege is included in the
machine_learning_admin
built-in role.
Path parametersedit
-
<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.
Examplesedit
response = client.ml.delete_calendar_job( calendar_id: 'planned-outages', job_id: 'total-requests' ) puts response
DELETE _ml/calendars/planned-outages/jobs/total-requests
When the job is removed from the calendar, you receive the following results:
{ "calendar_id": "planned-outages", "job_ids": [] }