Test run of new docs

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Josh Mock
2024-11-19 11:04:35 -06:00
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[[reference-ml-put_trained_model]]
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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.putTrainedModel
Create a trained model. Enable you to supply a trained model that is not created by data frame analytics.
{ref}/put-trained-models.html[{es} documentation]
[discrete]
==== Function signature
[source,ts]
----
(MlPutTrainedModelRequest, options?): Promise<MlPutTrainedModelResponse>
----
[discrete]
===== `MlPutTrainedModelRequest`
[source,ts]
----
interface MlPutTrainedModelRequest extends <<shared-type-request-base, RequestBase>> {
model_id: <<shared-type-id, Id>>
defer_definition_decompression?: boolean
wait_for_completion?: boolean
compressed_definition?: string
definition?: MlPutTrainedModelDefinition
description?: string
inference_config?: MlInferenceConfigCreateContainer
input?: MlPutTrainedModelInput
metadata?: any
model_type?: MlTrainedModelType
model_size_bytes?: <<shared-type-long, long>>
platform_architecture?: string
tags?: string[]
prefix_strings?: MlTrainedModelPrefixStrings
}
----
[discrete]
===== `MlPutTrainedModelResponse`
[source,ts]
----
type MlPutTrainedModelResponse = MlTrainedModelConfig
----