forecastservice_list_what_if_forecast_exports: Returns a list of what-if forecast exports created using the...

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

Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation

Description

Returns a list of what-if forecast exports created using the create_what_if_forecast_export operation. For each what-if forecast export, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast export ARN with the describe_what_if_forecast_export operation.

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

Usage

forecastservice_list_what_if_forecast_exports(
  NextToken = NULL,
  MaxResults = NULL,
  Filters = NULL
)

Arguments

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.
MaxResults	The number of items to return in the response.
Filters	An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the what-if forecast export jobs that match the statement from the list, respectively. The match statement consists of a key and a value. Filter properties Condition - The condition to apply. Valid values are IS and IS_NOT. To include the forecast export jobs that match the statement, specify IS. To exclude matching forecast export jobs, specify IS_NOT. Key - The name of the parameter to filter on. Valid values are WhatIfForecastExportArn and Status. Value - The value to match. For example, to list all jobs that export a forecast named electricityWIFExport, specify the following filter: ⁠"Filters": [ { "Condition": "IS", "Key": "WhatIfForecastExportArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityWIFExport" } ]⁠

paws.machine.learning documentation built on April 3, 2025, 8:41 p.m.