forecastqueryservice_query_forecast: Retrieves a forecast for a single item, filtered by the...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Retrieves a forecast for a single item, filtered by the supplied criteria

Description

Retrieves a forecast for a single item, filtered by the supplied criteria.

See https://www.paws-r-sdk.com/docs/forecastqueryservice_query_forecast/ for full documentation.

Usage

forecastqueryservice_query_forecast(
  ForecastArn,
  StartDate = NULL,
  EndDate = NULL,
  Filters,
  NextToken = NULL
)

Arguments

ForecastArn	[required] The Amazon Resource Name (ARN) of the forecast to query.
StartDate	The start date for the forecast. Specify the date using this format: yyyy-MM-dd'T'HH:mm:ss (ISO 8601 format). For example, 2015-01-01T08:00:00.
EndDate	The end date for the forecast. Specify the date using this format: yyyy-MM-dd'T'HH:mm:ss (ISO 8601 format). For example, 2015-01-01T20:00:00.
Filters	[required] The filtering criteria to apply when retrieving the forecast. For example, to get the forecast for client_21 in the electricity usage dataset, specify the following: {"item_id" : "client_21"} To get the full forecast, use the CreateForecastExportJob operation.
NextToken	If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.