Amazon Forecast
Developer Guide

This is prerelease documentation for a service in preview release. It is subject to change.

As of 6/6/19, Amazon Forecast no longer supports the following recipes: DeepAR, MDN, MLP, MQRNN, RFQR, and SQF. You can continue to use predictors created with these recipes to generate forecasts. However, you can’t use these recipes to create new predictors or to update existing predictors with new data. In addition, AutoML no longer considers these recipes. We’ve made these changes to ensure that Forecast offers the highest level of accuracy and robustness. We continue to support the ARIMA, DeepAR+, ETS, NPTS, and Prophet recipes.


Deletes an Amazon Forecast dataset.

Deleting an Amazon Forecast dataset deletes all versions of the dataset. All dataset import jobs that target the dataset are also deleted.

Datasets used in active predictors cannot be deleted.

Request Syntax

{ "DatasetName": "string" }

Request Parameters

The request accepts the following data in JSON format.


The name of the dataset to delete.

Type: String

Length Constraints: Maximum length of 256.

Pattern: ^[a-zA-Z0-9\_]+$

Required: Yes

Response Elements

If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.



Request processing has failed due to some unknown error, exception, or failure.

HTTP Status Code: 400


Processing has reached an invalid state. Amazon Forecast returns this exception when an operation attempts to perform an action on a resource that is changing.

HTTP Status Code: 400


We can't find a resource with that name. Check the name and try again.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: