class Aws::SageMaker::Types::CreateModelInput
@note When making an API call, you may pass CreateModelInput
data as a hash: { model_name: "ModelName", # required primary_container: { container_hostname: "ContainerHostname", image: "ContainerImage", image_config: { repository_access_mode: "Platform", # required, accepts Platform, Vpc repository_auth_config: { repository_credentials_provider_arn: "RepositoryCredentialsProviderArn", # required }, }, mode: "SingleModel", # accepts SingleModel, MultiModel model_data_url: "Url", environment: { "EnvironmentKey" => "EnvironmentValue", }, model_package_name: "VersionedArnOrName", multi_model_config: { model_cache_setting: "Enabled", # accepts Enabled, Disabled }, }, containers: [ { container_hostname: "ContainerHostname", image: "ContainerImage", image_config: { repository_access_mode: "Platform", # required, accepts Platform, Vpc repository_auth_config: { repository_credentials_provider_arn: "RepositoryCredentialsProviderArn", # required }, }, mode: "SingleModel", # accepts SingleModel, MultiModel model_data_url: "Url", environment: { "EnvironmentKey" => "EnvironmentValue", }, model_package_name: "VersionedArnOrName", multi_model_config: { model_cache_setting: "Enabled", # accepts Enabled, Disabled }, }, ], inference_execution_config: { mode: "Serial", # required, accepts Serial, Direct }, execution_role_arn: "RoleArn", # required tags: [ { key: "TagKey", # required value: "TagValue", # required }, ], vpc_config: { security_group_ids: ["SecurityGroupId"], # required subnets: ["SubnetId"], # required }, enable_network_isolation: false, }
@!attribute [rw] model_name
The name of the new model. @return [String]
@!attribute [rw] primary_container
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. @return [Types::ContainerDefinition]
@!attribute [rw] containers
Specifies the containers in the inference pipeline. @return [Array<Types::ContainerDefinition>]
@!attribute [rw] inference_execution_config
Specifies details of how containers in a multi-container endpoint are called. @return [Types::InferenceExecutionConfig]
@!attribute [rw] execution_role_arn
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][1]. <note markdown="1"> To be able to pass this role to Amazon SageMaker, the caller of this API must have the `iam:PassRole` permission. </note> [1]: https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html @return [String]
@!attribute [rw] tags
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see [Tagging Amazon Web Services Resources][1]. [1]: https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html @return [Array<Types::Tag>]
@!attribute [rw] vpc_config
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. `VpcConfig` is used in hosting services and in batch transform. For more information, see [Protect Endpoints by Using an Amazon Virtual Private Cloud][1] and [Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud][2]. [1]: https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html [2]: https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html @return [Types::VpcConfig]
@!attribute [rw] enable_network_isolation
Isolates the model container. No inbound or outbound network calls can be made to or from the model container. @return [Boolean]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModelInput AWS API Documentation
Constants
- SENSITIVE