Model

The containers in the inference pipeline.

Type: Array of ContainerDefinition objects

Array Members: Minimum number of 0 items. Maximum number of 15 items.

Required: No

A timestamp that indicates when the model was created.

Type: Timestamp

Required: No

A set of recommended deployment configurations for the model.

Type: DeploymentRecommendation object

Required: No

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

Type: Boolean

Required: No

The Amazon Resource Name (ARN) of the IAM role that you specified for the model.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+

Required: No

Specifies details about how containers in a multi-container endpoint are run.

Type: InferenceExecutionConfig object

Required: No

The Amazon Resource Name (ARN) of the model.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:model/.*

Required: No

The name of the model.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 63.

Pattern: [a-zA-Z0-9]([\-a-zA-Z0-9]*[a-zA-Z0-9])?

Required: No

Describes the container, as part of model definition.

Type: ContainerDefinition object

Required: No

A list of key-value pairs associated with the model. For more information, see Tagging AWS resources in the AWS General Reference Guide.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.

Type: VpcConfig object

Required: No