[role="xpack"]
[[ml-update-snapshot]]
= Update model snapshots API
++++
<titleabbrev>Update model snapshots</titleabbrev>
++++

Updates certain properties of a snapshot.

[[ml-update-snapshot-request]]
== {api-request-title}

`POST _ml/anomaly_detectors/<job_id>/model_snapshots/<snapshot_id>/_update`

[[ml-update-snapshot-prereqs]]
== {api-prereq-title}

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

[[ml-update-snapshot-path-parms]]
== {api-path-parms-title}

`<job_id>`::
(Required, string)
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]

`<snapshot_id>`::
(Required, string)
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=snapshot-id]

[[ml-update-snapshot-request-body]]
== {api-request-body-title}

The following properties can be updated after the model snapshot is created:

`description`::
(Optional, string) A description of the model snapshot.

`retain`::
(Optional, Boolean)
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=retain]


[[ml-update-snapshot-example]]
== {api-examples-title}

[source,console]
--------------------------------------------------
POST
_ml/anomaly_detectors/it_ops_new_logs/model_snapshots/1491852978/_update
{
  "description": "Snapshot 1",
  "retain": true
}
--------------------------------------------------
// TEST[skip:todo]

When the snapshot is updated, you receive the following results:
[source,js]
----
{
  "acknowledged": true,
  "model": {
    "job_id": "it_ops_new_logs",
    "timestamp": 1491852978000,
    "description": "Snapshot 1",
...
    "retain": true
  }
}
----