elasticsearch/docs/reference/ml/df-analytics/apis/get-inference-trained-model.asciidoc

[role="xpack"]
[testenv="basic"]
[[get-inference]]
=== Get {infer} trained model API
[subs="attributes"]
++++
<titleabbrev>Get {infer} trained model</titleabbrev>
++++

Retrieves configuration information for a trained {infer} model.

experimental[]


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

`GET _ml/inference/` +

`GET _ml/inference/<model_id>` +

`GET _ml/inference/_all` +

`GET _ml/inference/<model_id1>,<model_id2>` +

`GET _ml/inference/<model_id_pattern*>`


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

If the {es} {security-features} are enabled, you must have the following 
privileges:

* cluster: `monitor_ml`
  
For more information, see <<security-privileges>> and <<built-in-roles>>.


[[ml-get-inference-desc]]
==== {api-description-title}

You can get information for multiple trained models in a single API request by 
using a comma-separated list of model IDs or a wildcard expression.


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

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


[[ml-get-inference-query-params]]
==== {api-query-parms-title}

`allow_no_match`::
(Optional, boolean) 
include::{docdir}/ml/ml-shared.asciidoc[tag=allow-no-match]

`decompress_definition`::
(Optional, boolean)
include::{docdir}/ml/ml-shared.asciidoc[tag=decompress-definition]

`from`::
(Optional, integer) 
include::{docdir}/ml/ml-shared.asciidoc[tag=from]

`include_model_definition`::
(Optional, boolean)
include::{docdir}/ml/ml-shared.asciidoc[tag=include-model-definition]

`size`::
(Optional, integer) 
include::{docdir}/ml/ml-shared.asciidoc[tag=size]

`tags`::
(Optional, string)
include::{docdir}/ml/ml-shared.asciidoc[tag=tags]

[role="child_attributes"]
[[ml-get-inference-results]]
==== {api-response-body-title}

`trained_model_configs`::
(array) 
include::{docdir}/ml/ml-shared.asciidoc[tag=trained-model-configs]

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

`400`::
  If `include_model_definition` is `true`, this code indicates that more than 
  one models match the ID pattern.

`404` (Missing resources)::
  If `allow_no_match` is `false`, this code indicates that there are no
  resources that match the request or only partial matches for the request.
  

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

The following example gets configuration information for all the trained models:

[source,console]
--------------------------------------------------
GET _ml/inference/
--------------------------------------------------
// TEST[skip:TBD]