IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Delete model snapshots API
editDelete model snapshots API
editDeletes an existing model snapshot.
Request
editDELETE _ml/anomaly_detectors/<job_id>/model_snapshots/<snapshot_id>
Prerequisites
editRequires the manage_ml
cluster privilege. This privilege is included in the
machine_learning_admin
built-in role.
Description
editYou cannot delete the active model snapshot. To delete that snapshot,
first revert to a different one. To identify the active model snapshot, refer to
the model_snapshot_id
in the results from the get jobs API.
Path parameters
edit-
<job_id>
- (Required, string) Identifier for the anomaly detection job.
-
<snapshot_id>
- (Required, string) Identifier for the model snapshot.
Examples
editresp = client.ml.delete_model_snapshot( job_id="farequote", snapshot_id="1491948163", ) print(resp)
response = client.ml.delete_model_snapshot( job_id: 'farequote', snapshot_id: 1_491_948_163 ) puts response
const response = await client.ml.deleteModelSnapshot({ job_id: "farequote", snapshot_id: 1491948163, }); console.log(response);
DELETE _ml/anomaly_detectors/farequote/model_snapshots/1491948163
When the snapshot is deleted, you receive the following results:
{ "acknowledged": true }