IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Delete anomaly detection jobs from calendar API

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Delete anomaly detection jobs from calendar API

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Deletes anomaly detection jobs from a calendar.

Request

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DELETE _ml/calendars/<calendar_id>/jobs/<job_id>

Prerequisites

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Requires the manage_ml cluster privilege. This privilege is included in the machine_learning_admin built-in role.

Path parameters

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<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

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resp = client.ml.delete_calendar_job(
    calendar_id="planned-outages",
    job_id="total-requests",
)
print(resp)

response = client.ml.delete_calendar_job(
  calendar_id: 'planned-outages',
  job_id: 'total-requests'
)
puts response

const response = await client.ml.deleteCalendarJob({
  calendar_id: "planned-outages",
  job_id: "total-requests",
});
console.log(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": []
}

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