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Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName - Identifies the transform job. The name must be unique
within an Amazon Web Services Region in an Amazon Web Services account.
ModelName - Identifies the model to use.
be the name of an existing Amazon SageMaker model in the same Amazon Web Services
Region and Amazon Web Services account. For information on creating a model, see CreateModel.
TransformInput - Describes the dataset to be transformed and the Amazon
S3 location where it is stored.
TransformOutput - Identifies the Amazon S3 location where you want Amazon
SageMaker to save the results from the transform job.
TransformResources - Identifies the ML compute instances for the transform
For more information about how batch transformation works, see Batch Transform.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateTransformJobAsync.
public virtual CreateTransformJobResponse CreateTransformJob( CreateTransformJobRequest request )
Container for the necessary parameters to execute the CreateTransformJob service method.
Supported in: 4.5, 4.0, 3.5