76 lines
4.2 KiB
Plaintext
76 lines
4.2 KiB
Plaintext
[[reference-ml-open_job]]
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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.openJob]]
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=== client.ml.openJob
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Open anomaly detection jobs. An anomaly detection job must be opened to be ready to receive and analyze data. It can be opened and closed multiple times throughout its lifecycle. When you open a new job, it starts with an empty model. When you open an existing job, the most recent model state is automatically loaded. The job is ready to resume its analysis from where it left off, once new data is received.
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{ref}/ml-open-job.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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(MlOpenJobRequest, options?): Promise<MlOpenJobResponse>
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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 MlOpenJobRequest extends <<RequestBase>> {
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job_id: <<Id>>
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timeout?: <<Duration>>
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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 MlOpenJobResponse {
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opened: boolean
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node: <<NodeId>>
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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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