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[role="xpack"]
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2018-08-31 19:49:24 -04:00
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[testenv="platinum"]
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[[ml-forecast]]
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=== Forecast jobs API
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++++
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<titleabbrev>Forecast jobs</titleabbrev>
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++++
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2018-06-21 14:32:11 -04:00
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Predicts the future behavior of a time series by using its historical behavior.
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2019-06-27 12:42:47 -04:00
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[[ml-forecast-request]]
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==== {api-request-title}
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2018-12-07 15:34:11 -05:00
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`POST _ml/anomaly_detectors/<job_id>/_forecast`
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2019-06-27 16:58:42 -04:00
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[[ml-forecast-prereqs]]
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==== {api-prereq-title}
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* If the {es} {security-features} are enabled, you must have `manage_ml` or
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`manage` cluster privileges to use this API. See
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{stack-ov}/security-privileges.html[Security privileges].
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2019-06-27 12:42:47 -04:00
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[[ml-forecast-desc]]
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==== {api-description-title}
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2019-06-27 16:58:42 -04:00
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See {stack-ov}/ml-overview.html#ml-forecasting[Forecasting the future].
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2017-11-23 18:53:21 -05:00
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[NOTE]
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===============================
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* If you use an `over_field_name` property in your job, you cannot create a
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forecast. For more information about this property, see <<ml-job-resource>>.
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* The job must be open when you create a forecast. Otherwise, an error occurs.
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===============================
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2019-06-27 12:42:47 -04:00
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[[ml-forecast-path-parms]]
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==== {api-path-parms-title}
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2019-07-12 11:26:31 -04:00
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`<job_id>`::
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(Required, string) Identifier for the job.
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2019-06-27 12:42:47 -04:00
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[[ml-forecast-request-body]]
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==== {api-request-body-title}
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2019-07-12 11:26:31 -04:00
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`duration`::
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(Optional, <<time-units, time units>>) A period of time that indicates how far
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into the future to forecast. For example, `30d` corresponds to 30 days. The
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default value is 1 day. The forecast starts at the last record that was
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processed.
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2019-07-12 11:26:31 -04:00
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`expires_in`::
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(Optional, <<time-units, time units>>) The period of time that forecast results are retained.
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After a forecast expires, the results are deleted. The default value is 14 days.
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If set to a value of `0`, the forecast is never automatically deleted.
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2019-06-27 12:42:47 -04:00
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[[ml-forecast-example]]
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==== {api-examples-title}
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The following example requests a 10 day forecast for the `total-requests` job:
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2019-09-06 11:31:13 -04:00
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[source,console]
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--------------------------------------------------
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2018-12-07 15:34:11 -05:00
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POST _ml/anomaly_detectors/total-requests/_forecast
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{
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"duration": "10d"
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}
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--------------------------------------------------
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// TEST[skip:requires delay]
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When the forecast is created, you receive the following results:
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[source,js]
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----
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{
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"acknowledged": true,
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"forecast_id": "wkCWa2IB2lF8nSE_TzZo"
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}
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----
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2018-06-21 14:32:11 -04:00
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// NOTCONSOLE
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2017-12-21 11:14:52 -05:00
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You can subsequently see the forecast in the *Single Metric Viewer* in {kib}.
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2018-06-21 14:32:11 -04:00
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