Struct aws_sdk_sagemaker::input::create_model_input::Builder

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

A builder for CreateModelInput

Implementations

impl Builder

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

The name of the new model.

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

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

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

Consumes the builder and constructs a CreateModelInput

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

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

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

This method tests for !=.

impl StructuralPartialEq for Builder