IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Forecast jobs API

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Forecast jobs API

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Predicts the future behavior of a time series by using its historical behavior.

Request

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POST _ml/anomaly_detectors/<job_id>/_forecast

Description

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See Forecasting the Future.

If you use an over_field_name property in your job, you cannot create a forecast. For more information about this property, see Job resources.
The job must be open when you create a forecast. Otherwise, an error occurs.

Path parameters

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job_id: (string) Identifier for the job.

Request body

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duration: (Optional, 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) 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.

Prerequisites

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You must have manage_ml, or manage cluster privileges to use this API. For more information, see Security privileges.

Examples

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The following example requests a 10 day forecast for the total-requests job:

POST _ml/anomaly_detectors/total-requests/_forecast
{
  "duration": "10d"
}

When the forecast is created, you receive the following results:

{
  "acknowledged": true,
  "forecast_id": "wkCWa2IB2lF8nSE_TzZo"
}

You can subsequently see the forecast in the Single Metric Viewer in Kibana.

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