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

Deletes an existing trained {infer} model that is currently not referenced by an 
ingest pipeline.

experimental[]


[[ml-delete-inference-request]]
== {api-request-title}

`DELETE _ml/inference/<model_id>`


[[ml-delete-inference-prereq]]
== {api-prereq-title}

If the {es} {security-features} are enabled, you must have the following built-in roles or equivalent privileges:

* `machine_learning_admin`

For more information, see <<built-in-roles>> and {ml-docs-setup-privileges}.


[[ml-delete-inference-path-params]]
== {api-path-parms-title}

`<model_id>`::
(Optional, string) 
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=model-id]


[[ml-delete-inference-response-codes]]
== {api-response-codes-title}

`409`::
  The code indicates that the trained model is referenced by an ingest pipeline 
  and cannot be deleted.


[[ml-delete-inference-example]]
== {api-examples-title}

The following example deletes the `regression-job-one-1574775307356` trained 
model:

[source,console]
--------------------------------------------------
DELETE _ml/inference/regression-job-one-1574775307356
--------------------------------------------------
// TEST[skip:TBD]

The API returns the following result:


[source,console-result]
----
{
  "acknowledged" : true
}
----