--
:api: get-trained-models
:request: GetTrainedModelsRequest
:response: GetTrainedModelsResponse
--
[role="xpack"]
[id="{upid}-{api}"]
=== Get trained models API

experimental[]

Retrieves one or more trained models.
The API accepts a +{request}+ object and returns a +{response}+.

[id="{upid}-{api}-request"]
==== Get trained models request

A +{request}+ requires either a trained model ID, a comma-separated list of
IDs, or the special wildcard `_all` to get all trained models.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-request]
--------------------------------------------------
<1> Constructing a new GET request referencing an existing Trained Model
<2> Set the paging parameters
<3> Indicate if the complete model definition should be included
<4> Should the definition be fully decompressed on GET
<5> Allow empty response if no Trained Models match the provided ID patterns.
    If false, an error will be thrown if no Trained Models match the
    ID patterns.
<6> An optional list of tags used to narrow the model search. A Trained Model
    can have many tags or none. The trained models in the response will
    contain all the provided tags.
<7> Optional boolean value indicating if certain fields should be removed on
    retrieval. This is useful for getting the trained model in a format that
    can then be put into another cluster.

include::../execution.asciidoc[]

[id="{upid}-{api}-response"]
==== Response

The returned +{response}+ contains the requested Trained Model.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests-file}[{api}-response]
--------------------------------------------------