Struct CreateEndpointFluentBuilder

pub struct CreateEndpointFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateEndpoint.

Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints.

Implementations

impl CreateEndpointFluentBuilder

pub fn as_input(&self) -> &CreateEndpointInputBuilder

Access the CreateEndpoint as a reference.

pub async fn send( self, ) -> Result<CreateEndpointOutput, SdkError<CreateEndpointError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self, ) -> CustomizableOperation<CreateEndpointOutput, CreateEndpointError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

This is the descriptive suffix that becomes part of the EndpointArn used for all subsequent requests to this resource.

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

This is the descriptive suffix that becomes part of the EndpointArn used for all subsequent requests to this resource.

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

This is the descriptive suffix that becomes part of the EndpointArn used for all subsequent requests to this resource.

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

The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.

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

The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.

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

The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.

pub fn desired_inference_units(self, input: i32) -> Self

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

pub fn set_desired_inference_units(self, input: Option<i32>) -> Self

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

pub fn get_desired_inference_units(&self) -> &Option<i32>

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

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

An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a ResourceInUseException.

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

An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a ResourceInUseException.

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

An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a ResourceInUseException.

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

Appends an item to Tags.

To override the contents of this collection use set_tags.

Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department.

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

Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department.

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

Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department.

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

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

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

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

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

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

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

The Amazon Resource Number (ARN) of the flywheel to which the endpoint will be attached.

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

The Amazon Resource Number (ARN) of the flywheel to which the endpoint will be attached.

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

The Amazon Resource Number (ARN) of the flywheel to which the endpoint will be attached.

Trait Implementations

impl Clone for CreateEndpointFluentBuilder

fn clone(&self) -> CreateEndpointFluentBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateEndpointFluentBuilder

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

Formats the value using the given formatter.