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[DOCS] Adds delete forecast API (#33401)
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docs/reference/ml/apis/delete-forecast.asciidoc
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docs/reference/ml/apis/delete-forecast.asciidoc
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[role="xpack"]
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[testenv="platinum"]
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[[ml-delete-forecast]]
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=== Delete Forecast API
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++++
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<titleabbrev>Delete Forecast</titleabbrev>
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++++
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Deletes forecasts from a {ml} job.
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==== Request
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`DELETE _xpack/ml/anomaly_detectors/<job_id>/_forecast` +
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`DELETE _xpack/ml/anomaly_detectors/<job_id>/_forecast/<forecast_id>` +
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`DELETE _xpack/ml/anomaly_detectors/<job_id>/_forecast/_all`
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==== Description
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By default, forecasts are retained for 14 days. You can specify a different
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retention period with the `expires_in` parameter in the <<ml-forecast,forecast jobs API>>. The delete forecast API enables you to delete one or more forecasts before they expire.
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NOTE: When you delete a job its associated forecasts are deleted.
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For more information, see {stack-ov}/ml-overview.html#ml-forecasting[Forecasting the Future].
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==== Path Parameters
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`job_id` (required)::
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(string) Identifier for the job.
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`forecast_id`::
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(string) A comma-separated list of forecast identifiers.
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If you do not specify this optional parameter or if you specify `_all`, the
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API deletes all forecasts from the job.
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==== Request Parameters
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`allow_no_forecasts`::
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(boolean) Specifies whether an error occurs when there are no forecasts. In
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particular, if this parameter is set to `false` and there are no forecasts
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associated with the job, attempts to delete all forecasts return an error.
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The default value is `true`.
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`timeout`::
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(time units) Specifies the period of time to wait for the completion of the
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delete operation. When this period of time elapses, the API fails and returns
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an error. The default value is `30s`. For more information about time units,
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see <<time-units>>.
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==== Authorization
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You must have `manage_ml`, or `manage` cluster privileges to use this API.
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For more information, see {stack-ov}/security-privileges.html[Security Privileges].
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==== Examples
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The following example deletes all forecasts from the `total-requests` job:
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[source,js]
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--------------------------------------------------
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DELETE _xpack/ml/anomaly_detectors/total-requests/_forecast/_all
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:setup:server_metrics_openjob]
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If the request does not encounter errors, you receive the following result:
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[source,js]
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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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// NOTCONSOLE
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@ -48,7 +48,7 @@ machine learning APIs and in advanced job configuration options in Kibana.
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* <<ml-flush-job,Flush job>>
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* <<ml-flush-job,Flush job>>
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* <<ml-post-data,Post data to job>>
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* <<ml-post-data,Post data to job>>
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* <<ml-update-job,Update job>>
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* <<ml-update-job,Update job>>
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* <<ml-forecast,Forecast job behavior>>
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* <<ml-forecast,Forecast job behavior>>, <<ml-delete-forecast,Delete forecasts>>
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[float]
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[float]
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[[ml-api-snapshot-endpoint]]
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[[ml-api-snapshot-endpoint]]
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@ -85,6 +85,7 @@ include::delete-calendar.asciidoc[]
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include::delete-datafeed.asciidoc[]
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include::delete-datafeed.asciidoc[]
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include::delete-calendar-event.asciidoc[]
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include::delete-calendar-event.asciidoc[]
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include::delete-filter.asciidoc[]
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include::delete-filter.asciidoc[]
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include::delete-forecast.asciidoc[]
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include::delete-job.asciidoc[]
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include::delete-job.asciidoc[]
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include::delete-calendar-job.asciidoc[]
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include::delete-calendar-job.asciidoc[]
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include::delete-snapshot.asciidoc[]
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include::delete-snapshot.asciidoc[]
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