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07ac8818b6
Removes `testenv` annotations and related code. These annotations originally let you skip x-pack snippet tests in the docs. However, that's no longer possible. Relates to #79309, #31619 # Conflicts: # docs/reference/ml/df-analytics/apis/get-trained-model-deployment-stats.asciidoc # docs/reference/ml/df-analytics/apis/infer-trained-model-deployment.asciidoc # docs/reference/ml/df-analytics/apis/put-trained-model-definition-part.asciidoc # docs/reference/ml/df-analytics/apis/put-trained-model-vocabulary.asciidoc # docs/reference/ml/df-analytics/apis/start-trained-model-deployment.asciidoc # docs/reference/ml/df-analytics/apis/stop-trained-model-deployment.asciidoc # docs/reference/slm/apis/slm-delete.asciidoc # docs/reference/slm/apis/slm-execute-retention.asciidoc # docs/reference/slm/apis/slm-execute.asciidoc # docs/reference/slm/apis/slm-get-status.asciidoc # docs/reference/slm/apis/slm-get.asciidoc # docs/reference/slm/apis/slm-start.asciidoc # docs/reference/slm/apis/slm-stats.asciidoc # docs/reference/slm/apis/slm-stop.asciidoc # docs/reference/sql/endpoints/client-apps/tableau-desktop.asciidoc # docs/reference/sql/endpoints/client-apps/tableau-server.asciidoc
67 lines
1.5 KiB
Text
67 lines
1.5 KiB
Text
[role="xpack"]
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[[ml-valid-job]]
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= Validate {anomaly-jobs} API
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++++
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<titleabbrev>Validate jobs</titleabbrev>
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++++
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Validates {anomaly-job} configuration information.
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[[ml-valid-job-request]]
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== {api-request-title}
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`POST _ml/anomaly_detectors/_validate`
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[[ml-valid-job-prereqs]]
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== {api-prereq-title}
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Requires the `manage_ml` cluster privilege. This privilege is included in the
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`machine_learning_admin` built-in role.
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[[ml-valid-job-desc]]
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== {api-description-title}
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This API enables you to validate the {anomaly-job} configuration before you
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create the job.
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[[ml-valid-job-request-body]]
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== {api-request-body-title}
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For a list of the properties that you can specify in the body of this API,
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see <<ml-put-job>>.
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[[ml-valid-job-example]]
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== {api-examples-title}
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The following example validates job configuration information:
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[source,console]
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--------------------------------------------------
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POST _ml/anomaly_detectors/_validate
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{
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"description": "Unusual response times by airlines",
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"analysis_config": {
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"bucket_span": "300S",
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"detectors": [
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{
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"function": "metric",
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"field_name": "responsetime",
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"by_field_name": "airline" } ],
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"influencers": [ "airline" ]
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},
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"data_description": {
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"time_field": "time",
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"time_format": "yyyy-MM-dd'T'HH:mm:ssX"
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}
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}
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--------------------------------------------------
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// TEST[skip:needs-licence]
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When the validation is complete, you receive the following results:
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[source,console-result]
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----
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{
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"acknowledged": true
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}
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----
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