Delete a trained model alias | Elasticsearch Serverless API documentation

Delete a trained model alias Generally available

DELETE /_ml/trained_models/{model_id}/model_aliases/{model_alias}

This API deletes an existing model alias that refers to a trained model. If the model alias is missing or refers to a model other than the one identified by the model_id, this API returns an error.

Required authorization

Cluster privileges: manage_ml

Path parameters

model_id string Required

The trained model ID to which the model alias refers.
model_alias string Required

The model alias to delete.

Responses

200 application/json
Hide response attribute Show response attribute object
- acknowledged boolean Required
  
  For a successful response, this value is always true. On failure, an exception is returned instead.

DELETE /_ml/trained_models/{model_id}/model_aliases/{model_alias}

DELETE _ml/trained_models/flight-delay-prediction-1574775339910/model_aliases/flight_delay_model

resp = client.ml.delete_trained_model_alias( model_id="flight-delay-prediction-1574775339910", model_alias="flight_delay_model", )

const response = await client.ml.deleteTrainedModelAlias({ model_id: "flight-delay-prediction-1574775339910", model_alias: "flight_delay_model", });

response = client.ml.delete_trained_model_alias( model_id: "flight-delay-prediction-1574775339910", model_alias: "flight_delay_model" )

$resp = $client->ml()->deleteTrainedModelAlias([ "model_id" => "flight-delay-prediction-1574775339910", "model_alias" => "flight_delay_model", ]);

curl -X DELETE -H "Authorization: ApiKey $ELASTIC_API_KEY" "$ELASTICSEARCH_URL/_ml/trained_models/flight-delay-prediction-1574775339910/model_aliases/flight_delay_model"

Response examples (200)

A successful response when deleting a trained model alias.

{ "acknowledged": true }