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 APIedit
Deletes an existing model snapshot.
Requestedit
DELETE _ml/anomaly_detectors/<job_id>/model_snapshots/<snapshot_id>
Prerequisitesedit
Requires the manage_ml
cluster privilege. This privilege is included in the
machine_learning_admin
built-in role.
Descriptionedit
You 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 parametersedit
-
<job_id>
- (Required, string) Identifier for the anomaly detection job.
-
<snapshot_id>
- (Required, string) Identifier for the model snapshot.
Examplesedit
response = client.ml.delete_model_snapshot( job_id: 'farequote', snapshot_id: 1_491_948_163 ) puts response
DELETE _ml/anomaly_detectors/farequote/model_snapshots/1491948163
When the snapshot is deleted, you receive the following results:
{ "acknowledged": true }