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Container for the parameters to the CreateModel operation. Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the docker image containing inference code, artifacts (from prior training), and custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the
API, and then create an endpoint with the
CreateEndpoint API. Amazon
SageMaker then deploys all of the containers that you defined for the model in the
To run a batch transform using your model, you start a job with the
API. Amazon SageMaker uses your model and your dataset to get inferences which are
then saved to a specified S3 location.
CreateModel request, you must define a container with the
In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role.
public class CreateModelRequest : AmazonSageMakerRequest IAmazonWebServiceRequest
The CreateModelRequest type exposes the following members
Gets and sets the property ExecutionRoleArn.
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have
Gets and sets the property ModelName.
The name of the new model.
Gets and sets the property PrimaryContainer.
The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
Gets and sets the property Tags.
An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Gets and sets the property VpcConfig.
A VpcConfig object that specifies the VPC that you want your model to connect
to. Control access to and from your model container by configuring the VPC.
Supported in: 1.3
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