OpenSearch/docs/reference/ml/anomaly-detection/apis/forecast.asciidoc

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[role="xpack"]
[testenv="platinum"]
[[ml-forecast]]
=== Forecast jobs API
++++
<titleabbrev>Forecast jobs</titleabbrev>
++++
Predicts the future behavior of a time series by using its historical behavior.
[[ml-forecast-request]]
==== {api-request-title}
`POST _ml/anomaly_detectors/<job_id>/_forecast`
[[ml-forecast-prereqs]]
==== {api-prereq-title}
* If the {es} {security-features} are enabled, you must have `manage_ml` or
`manage` cluster privileges to use this API. See
<<security-privileges>>.
[[ml-forecast-desc]]
==== {api-description-title}
You can create a forecast job based on an {anomaly-job} to extrapolate future
behavior. Refer to
{ml-docs}/ml-overview.html#ml-forecasting[Forecasting the future] and
{ml-docs}/ml-limitations.html#ml-forecast-limitations[forecast limitations] to
learn more.
You can delete a forecast by using the
<<ml-delete-forecast,Delete forecast API>>.
[NOTE]
===============================
* If you use an `over_field_name` property in your job, you cannot create a
forecast. For more information about this property, see <<ml-put-job>>.
* The job must be open when you create a forecast. Otherwise, an error occurs.
===============================
[[ml-forecast-path-parms]]
==== {api-path-parms-title}
`<job_id>`::
(Required, string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
[[ml-forecast-request-body]]
==== {api-request-body-title}
`duration`::
(Optional, <<time-units, time units>>) A period of time that indicates how far
into the future to forecast. For example, `30d` corresponds to 30 days. The
default value is 1 day. The forecast starts at the last record that was
processed.
`expires_in`::
(Optional, <<time-units, time units>>) The period of time that forecast
results are retained. After a forecast expires, the results are deleted. The
default value is 14 days. If set to a value of `0`, the forecast is never
automatically deleted.
`max_model_memory`::
(Optional, <<byte-units,byte value>>) The maximum memory the forecast can use.
If the forecast needs to use more than the provided amount, it will spool to
disk. Default is 20mb, maximum is 500mb and minimum is 1mb. If set to 40% or
more of the job's configured memory limit, it is automatically reduced to
below that amount.
[[ml-forecast-example]]
==== {api-examples-title}
[source,console]
--------------------------------------------------
POST _ml/anomaly_detectors/total-requests/_forecast
{
"duration": "10d"
}
--------------------------------------------------
// TEST[skip:requires delay]
When the forecast is created, you receive the following results:
[source,js]
----
{
"acknowledged": true,
"forecast_id": "wkCWa2IB2lF8nSE_TzZo"
}
----
// NOTCONSOLE
You can subsequently see the forecast in the *Single Metric Viewer* in {kib}.