AWS SDK Version 3 for .NET
API Reference

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Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.

If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.

In the request body, you provide the following:

For more information about SageMaker, see How It Works.

Note:

This is an asynchronous operation using the standard naming convention for .NET 4.5 or higher. For .NET 3.5 the operation is implemented as a pair of methods using the standard naming convention of BeginCreateTrainingJob and EndCreateTrainingJob.

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

Syntax

C#
public virtual Task<CreateTrainingJobResponse> CreateTrainingJobAsync(
         CreateTrainingJobRequest request,
         CancellationToken cancellationToken
)
Parameters
request
Type: Amazon.SageMaker.Model.CreateTrainingJobRequest

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

cancellationToken
Type: System.Threading.CancellationToken

A cancellation token that can be used by other objects or threads to receive notice of cancellation.

Return Value
The response from the CreateTrainingJob service method, as returned by SageMaker.

Exceptions

ExceptionCondition
ResourceInUseException Resource being accessed is in use.
ResourceLimitExceededException You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
ResourceNotFoundException Resource being access is not found.

Version Information

.NET Core App:
Supported in: 3.1

.NET Standard:
Supported in: 2.0

.NET Framework:
Supported in: 4.5

See Also