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)
Specifies whether the included model definition should be returned as a JSON map 
(`true`) or in a custom compressed format (`false`). Defaults to `true`.

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

`include_model_definition`::
(Optional, boolean)
Specifies whether the model definition is returned in the response. Defaults 
to `false`. When `true`, only a single model must match the ID patterns 
provided. Otherwise, a bad request is returned.

`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)
An array of trained model resources, which are sorted by the `model_id` value in 
ascending order.
+
.Properties of trained model resources
[%collapsible%open]
====
`created_by`:::
(string)
Information on the creator of the trained model.

`create_time`:::
(<<time-units,time units>>)
The time when the trained model was created.

`default_field_map` :::
(object)
A string to string object that contains the default field map to use
when inferring against the model. For example, data frame analytics
may train the model on a specific multi-field `foo.keyword`.
The analytics job would then supply a default field map entry for
`"foo" : "foo.keyword"`.
+
Any field map described in the inference configuration takes precedence.

`estimated_heap_memory_usage_bytes`:::
(integer)
The estimated heap usage in bytes to keep the trained model in memory.

`estimated_operations`:::
(integer)
The estimated number of operations to use the trained model.

`license_level`:::
(string)
The license level of the trained model.

`metadata`:::
(object)
An object containing metadata about the trained model. For example, models 
created by {dfanalytics} contain `analysis_config` and `input` objects.

`model_id`:::
(string)
Identifier for the trained model.

`tags`:::
(string)
A comma delimited string of tags. A {infer} model can have many tags, or none.

`version`:::
(string)
The {es} version number in which the trained model was created.
====


[[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]