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Josh Mock
2024-11-19 11:04:35 -06:00
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[[reference-ml-get_trained_models_stats]]
////////
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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.getTrainedModelsStats
Get trained models usage info. You can get usage information for multiple trained models in a single API request by using a comma-separated list of model IDs or a wildcard expression.
{ref}/get-trained-models-stats.html[{es} documentation]
[discrete]
==== Function signature
[source,ts]
----
(MlGetTrainedModelsStatsRequest, options?): Promise<MlGetTrainedModelsStatsResponse>
----
[discrete]
===== `MlGetTrainedModelsStatsRequest`
[source,ts]
----
interface MlGetTrainedModelsStatsRequest extends <<shared-type-request-base, RequestBase>> {
model_id?: <<shared-type-ids, Ids>>
allow_no_match?: boolean
from?: <<shared-type-integer, integer>>
size?: <<shared-type-integer, integer>>
}
----
[discrete]
===== `MlGetTrainedModelsStatsResponse`
[source,ts]
----
interface MlGetTrainedModelsStatsResponse {
count: <<shared-type-integer, integer>>
trained_model_stats: MlTrainedModelStats[]
}
----