Struct aws_sdk_sagemaker::operation::create_model::builders::CreateModelInputBuilder

#[non_exhaustive]
pub struct CreateModelInputBuilder { /* private fields */ }

A builder for CreateModelInput.

Implementations

impl CreateModelInputBuilder

pub fn model_name(self, input: impl Into<String>) -> Self

The name of the new model.

This field is required.

pub fn set_model_name(self, input: Option<String>) -> Self

The name of the new model.

pub fn get_model_name(&self) -> &Option<String>

The name of the new model.

pub fn primary_container(self, input: ContainerDefinition) -> Self

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.

pub fn set_primary_container(self, input: Option<ContainerDefinition>) -> Self

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.

pub fn get_primary_container(&self) -> &Option<ContainerDefinition>

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.

pub fn containers(self, input: ContainerDefinition) -> Self

Appends an item to containers.

To override the contents of this collection use set_containers.

Specifies the containers in the inference pipeline.

pub fn set_containers(self, input: Option<Vec<ContainerDefinition>>) -> Self

Specifies the containers in the inference pipeline.

pub fn get_containers(&self) -> &Option<Vec<ContainerDefinition>>

Specifies the containers in the inference pipeline.

pub fn inference_execution_config(self, input: InferenceExecutionConfig) -> Self

Specifies details of how containers in a multi-container endpoint are called.

pub fn set_inference_execution_config( self, input: Option<InferenceExecutionConfig> ) -> Self

Specifies details of how containers in a multi-container endpoint are called.

pub fn get_inference_execution_config( &self ) -> &Option<InferenceExecutionConfig>

Specifies details of how containers in a multi-container endpoint are called.

pub fn execution_role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the IAM role that 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 SageMaker Roles.

To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.

pub fn set_execution_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the IAM role that 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 SageMaker Roles.

To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.

pub fn get_execution_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the IAM role that 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 SageMaker Roles.

To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_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.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

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.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

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.

pub fn vpc_config(self, input: VpcConfig) -> Self

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 and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

pub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self

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 and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

pub fn get_vpc_config(&self) -> &Option<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. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.

pub fn enable_network_isolation(self, input: bool) -> Self

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

pub fn set_enable_network_isolation(self, input: Option<bool>) -> Self

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

pub fn get_enable_network_isolation(&self) -> &Option<bool>

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

pub fn build(self) -> Result<CreateModelInput, BuildError>

Consumes the builder and constructs a CreateModelInput.

impl CreateModelInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<CreateModelOutput, SdkError<CreateModelError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateModelInputBuilder

fn clone(&self) -> CreateModelInputBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateModelInputBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for CreateModelInputBuilder

fn default() -> CreateModelInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateModelInputBuilder

fn eq(&self, other: &CreateModelInputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateModelInputBuilder