Stop a trained model deployment Added in 8.0.0
Path parameters
-
The unique identifier of the trained model.
Query parameters
-
allow_no_match boolean
Specifies what to do when the request: contains wildcard expressions and there are no deployments that match; contains the
_all
string or no identifiers and there are no matches; or contains wildcard expressions and there are only partial matches. By default, it returns an empty array when there are no matches and the subset of results when there are partial matches. Iffalse
, the request returns a 404 status code when there are no matches or only partial matches. -
force boolean
Forcefully stops the deployment, even if it is used by ingest pipelines. You can't use these pipelines until you restart the model deployment.
POST /_ml/trained_models/{model_id}/deployment/_stop
curl \
-X POST http://api.example.com/_ml/trained_models/{model_id}/deployment/_stop
Response examples (200)
{
"stopped": true
}