elasticsearch/docs/reference/ml/df-analytics/apis/delete-trained-models-aliases.asciidoc

[role="xpack"]
[testenv="platinum"]
[[delete-trained-models-aliases]]
= Delete trained model aliases API
[subs="attributes"]
++++
<titleabbrev>Delete trained model aliases</titleabbrev>
++++

Deletes a trained model alias.


[[ml-delete-trained-models-aliases-request]]
== {api-request-title}

`DELETE _ml/trained_models/<model_id>/model_aliases/<model_alias>`


[[ml-delete-trained-models-aliases-prereq]]
== {api-prereq-title}

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


[[ml-delete-trained-models-aliases-desc]]
== {api-description-title}

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.

[[ml-delete-trained-models-aliases-path-params]]
== {api-path-parms-title}

`model_alias`::
(Required, string)
The model alias to delete.

`model_id`::
(Required, string)
The trained model ID to which the model alias refers.

[[ml-delete-trained-models-aliases-example]]
== {api-examples-title}

The following example shows how to delete a model alias (`flight_delay_model`)
for a trained model ID (`flight-delay-prediction-1574775339910`):

[source,console]
--------------------------------------------------
DELETE _ml/trained_models/flight-delay-prediction-1574775339910/model_aliases/flight_delay_model
--------------------------------------------------
// TEST[skip:setup kibana sample data]