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docs/reference-ml-put_trained_model.asciidoc
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docs/reference-ml-put_trained_model.asciidoc
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[[reference-ml-put_trained_model]]
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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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|| ╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝╚═════╝ ╚═╝ ╚═╝╚══════╝ ||
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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.putTrainedModel
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Create a trained model. Enable you to supply a trained model that is not created by data frame analytics.
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{ref}/put-trained-models.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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(MlPutTrainedModelRequest, options?): Promise<MlPutTrainedModelResponse>
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----
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[discrete]
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===== `MlPutTrainedModelRequest`
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[source,ts]
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----
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interface MlPutTrainedModelRequest extends <<shared-type-request-base, RequestBase>> {
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model_id: <<shared-type-id, Id>>
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defer_definition_decompression?: boolean
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wait_for_completion?: boolean
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compressed_definition?: string
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definition?: MlPutTrainedModelDefinition
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description?: string
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inference_config?: MlInferenceConfigCreateContainer
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input?: MlPutTrainedModelInput
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metadata?: any
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model_type?: MlTrainedModelType
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model_size_bytes?: <<shared-type-long, long>>
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platform_architecture?: string
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tags?: string[]
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prefix_strings?: MlTrainedModelPrefixStrings
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}
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----
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[discrete]
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===== `MlPutTrainedModelResponse`
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[source,ts]
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----
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type MlPutTrainedModelResponse = MlTrainedModelConfig
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----
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