78 lines
4.1 KiB
Plaintext
78 lines
4.1 KiB
Plaintext
[[reference-ml-get_trained_models_stats]]
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===========================================================================================================================
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|| ██████╗ ███████╗ █████╗ ██████╗ ███╗ ███╗███████╗ ||
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|| ██╔══██╗██╔════╝██╔══██╗██╔══██╗████╗ ████║██╔════╝ ||
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|| ██████╔╝█████╗ ███████║██║ ██║██╔████╔██║█████╗ ||
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|| ██╔══██╗██╔══╝ ██╔══██║██║ ██║██║╚██╔╝██║██╔══╝ ||
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|| ██║ ██║███████╗██║ ██║██████╔╝██║ ╚═╝ ██║███████╗ ||
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|| ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═════╝ ╚═╝ ╚═╝╚══════╝ ||
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|| This file is autogenerated, DO NOT send pull requests that changes this file directly. ||
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|| You should update the script that does the generation, which can be found in: ||
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|| https://github.com/elastic/elastic-client-generator-js ||
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|| You can run the script with the following command: ||
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|| npm run elasticsearch -- --version <version> ||
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===========================================================================================================================
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////////
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[discrete]
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[[client.ml.getTrainedModelsStats]]
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=== client.ml.getTrainedModelsStats
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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.
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{ref}/get-trained-models-stats.html[{es} documentation]
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[discrete]
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==== Function signature
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[source,ts]
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----
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(MlGetTrainedModelsStatsRequest, options?): Promise<MlGetTrainedModelsStatsResponse>
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----
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[discrete]
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==== Request
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[pass]
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++++
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<pre>
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++++
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interface MlGetTrainedModelsStatsRequest extends <<RequestBase>> {
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model_id?: <<Ids>>
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allow_no_match?: boolean
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from?: <<integer>>
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size?: <<integer>>
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}
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[pass]
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++++
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</pre>
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++++
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[discrete]
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==== Response
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[pass]
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++++
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<pre>
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++++
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interface MlGetTrainedModelsStatsResponse {
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count: <<integer>>
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trained_model_stats: <<MlTrainedModelStats>>[]
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}
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[pass]
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++++
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</pre>
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++++
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