Module Smaws_Client_Forecast.CreateDataset

Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:

After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see Importing datasets.

To get a list of all your datasets, use the ListDatasets operation.

For example Forecast datasets, see the Amazon Forecast Sample GitHub repository.

The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.

val error_to_string : [ Smaws_Lib.Protocols.AwsJson.error | `InvalidInputException of Types.invalid_input_exception | `LimitExceededException of Types.limit_exceeded_exception | `ResourceAlreadyExistsException of Types.resource_already_exists_exception ] -> string
val request : 'http_type Smaws_Lib.Context.t -> Types.create_dataset_request -> (Types.create_dataset_response, [> Smaws_Lib.Protocols.AwsJson.error | `InvalidInputException of Types.invalid_input_exception | `LimitExceededException of Types.limit_exceeded_exception | `ResourceAlreadyExistsException of Types.resource_already_exists_exception ]) Stdlib.result
val request_with_metadata : 'http_type Smaws_Lib.Context.t -> Types.create_dataset_request -> (Types.create_dataset_response Smaws_Lib.Response.t, [> Smaws_Lib.Protocols.AwsJson.error | `InvalidInputException of Types.invalid_input_exception | `LimitExceededException of Types.limit_exceeded_exception | `ResourceAlreadyExistsException of Types.resource_already_exists_exception ] * Smaws_Lib.Response.metadata) Stdlib.result