56 lines
1.9 KiB
Plaintext
56 lines
1.9 KiB
Plaintext
--
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:api: put-trained-model
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:request: PutTrainedModelRequest
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:response: PutTrainedModelResponse
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--
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[role="xpack"]
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[id="{upid}-{api}"]
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=== Put Trained Model API
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Creates a new trained model for inference.
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The API accepts a +{request}+ object as a request and returns a +{response}+.
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[id="{upid}-{api}-request"]
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==== Put Trained Model request
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A +{request}+ requires the following argument:
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-request]
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--------------------------------------------------
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<1> The configuration of the {infer} Trained Model to create
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[id="{upid}-{api}-config"]
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==== Trained Model configuration
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The `TrainedModelConfig` object contains all the details about the trained model
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configuration and contains the following arguments:
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-config]
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--------------------------------------------------
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<1> The {infer} definition for the model
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<2> Optionally, if the {infer} definition is large, you may choose to compress it for transport.
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Do not supply both the compressed and uncompressed definitions.
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<3> The unique model id
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<4> The input field names for the model definition
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<5> Optionally, a human-readable description
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<6> Optionally, an object map contain metadata about the model
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<7> Optionally, an array of tags to organize the model
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include::../execution.asciidoc[]
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[id="{upid}-{api}-response"]
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==== Response
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The returned +{response}+ contains the newly created trained model.
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The +{response}+ will omit the model definition as a precaution against
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streaming large model definitions back to the client.
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["source","java",subs="attributes,callouts,macros"]
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--------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-response]
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--------------------------------------------------
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