AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.
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.
This is an asynchronous operation using the standard naming convention for .NET 4.7.2 or higher.
Namespace: Amazon.MachineLearning
Assembly: AWSSDK.MachineLearning.dll
Version: 3.x.y.z
public virtual Task<CreateDataSourceFromS3Response> CreateDataSourceFromS3Async( CreateDataSourceFromS3Request request, CancellationToken cancellationToken )
Container for the necessary parameters to execute the CreateDataSourceFromS3 service method.
A cancellation token that can be used by other objects or threads to receive notice of cancellation.
| Exception | Condition |
|---|---|
| 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. |
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.7.2 and newer