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[DOCS] Improves navigation between forecast APIs and adds short description. (#57035)
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docs/reference/ml/anomaly-detection/apis/forecast.asciidoc

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@@ -23,7 +23,14 @@ Predicts the future behavior of a time series by using its historical behavior.
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[[ml-forecast-desc]]
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==== {api-description-title}
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See {ml-docs}/ml-overview.html#ml-forecasting[Forecasting the future].
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You can create a forecast job based on an {anomaly-job} to extrapolate future
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behavior. Refer to
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{ml-docs}/ml-overview.html#ml-forecasting[Forecasting the future] and
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{ml-docs}/ml-limitations.html#ml-forecast-limitations[forecast limitations] to
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learn more.
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You can delete a forecast by using the
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<<ml-delete-forecast,Delete forecast API>>.
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[NOTE]
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===============================
@@ -50,9 +57,11 @@ include::{docdir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
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processed.
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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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(Optional, <<time-units, time units>>) The period of time that forecast
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results are retained. After a forecast expires, the results are deleted. The
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default value is 14 days. If set to a value of `0`, the forecast is never
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automatically deleted.
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[[ml-forecast-example]]
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==== {api-examples-title}

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