AWS SDK Version 3 for .NET
API Reference

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Creates a DataSource object. A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.

CreateDataSourceFromS3 is an asynchronous operation. In response to CreateDataSourceFromS3, Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING. After the DataSource has been created and is ready for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in the COMPLETED or PENDING state can be used to perform only CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.

If Amazon ML can't accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.

The observation data used in a DataSource should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more .csv files in an Amazon Simple Storage Service (Amazon S3) location, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by the DataSource.

After the DataSource has been created, it's ready to use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel, the DataSource also needs a recipe. A recipe describes how each input variable will be used in training an MLModel. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.


For PCL this operation is only available in asynchronous form. Please refer to CreateDataSourceFromS3Async.

Namespace: Amazon.MachineLearning
Assembly: AWSSDK.MachineLearning.dll
Version: 3.x.y.z


public abstract CreateDataSourceFromS3Response CreateDataSourceFromS3(
         CreateDataSourceFromS3Request request
Type: Amazon.MachineLearning.Model.CreateDataSourceFromS3Request

Container for the necessary parameters to execute the CreateDataSourceFromS3 service method.

Return Value
The response from the CreateDataSourceFromS3 service method, as returned by MachineLearning.


IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
InternalServerException An error on the server occurred when trying to process a request.
InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5

Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms

See Also