[[reference-ml-info]]

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||        ██████╗ ███████╗ █████╗ ██████╗ ███╗   ███╗███████╗                                                            ||
||        ██╔══██╗██╔════╝██╔══██╗██╔══██╗████╗ ████║██╔════╝                                                            ||
||        ██████╔╝█████╗  ███████║██║  ██║██╔████╔██║█████╗                                                              ||
||        ██╔══██╗██╔══╝  ██╔══██║██║  ██║██║╚██╔╝██║██╔══╝                                                              ||
||        ██║  ██║███████╗██║  ██║██████╔╝██║ ╚═╝ ██║███████╗                                                            ||
||        ╚═╝  ╚═╝╚══════╝╚═╝  ╚═╝╚═════╝ ╚═╝     ╚═╝╚══════╝                                                            ||
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||    This file is autogenerated, DO NOT send pull requests that changes this file directly.                             ||
||    You should update the script that does the generation, which can be found in:                                      ||
||    https://github.com/elastic/elastic-client-generator-js                                                             ||
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||    You can run the script with the following command:                                                                 ||
||       npm run elasticsearch -- --version <version>                                                                    ||
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[discrete]
=== client.ml.info

Return ML defaults and limits. Returns defaults and limits used by machine learning. This endpoint is designed to be used by a user interface that needs to fully understand machine learning configurations where some options are not specified, meaning that the defaults should be used. This endpoint may be used to find out what those defaults are. It also provides information about the maximum size of machine learning jobs that could run in the current cluster configuration.

{ref}/get-ml-info.html[{es} documentation]

[discrete]
==== Function signature

[source,ts]
----
(MlInfoRequest, options?): Promise<MlInfoResponse>
----

[discrete]
===== `MlInfoRequest`

[source,ts]
----
interface MlInfoRequest extends <<shared-type-request-base, RequestBase>> {
}
----

[discrete]
===== `MlInfoResponse`

[source,ts]
----
interface MlInfoResponse {
  defaults: MlInfoDefaults
  limits: MlInfoLimits
  upgrade_mode: boolean
  native_code: MlInfoNativeCode
}
----

