Struct aws_sdk_comprehend::input::CreateEndpointInput

#[non_exhaustive]
pub struct CreateEndpointInput {
    pub endpoint_name: Option<String>,
    pub model_arn: Option<String>,
    pub desired_inference_units: Option<i32>,
    pub client_request_token: Option<String>,
    pub tags: Option<Vec<Tag>>,
    pub data_access_role_arn: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

endpoint_name: Option<String>

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

model_arn: Option<String>

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

desired_inference_units: 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.

client_request_token: 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.

tags: Option<Vec<Tag>>

Tags associated with the endpoint being created. 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.

data_access_role_arn: Option<String>

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

Implementations

impl CreateEndpointInput

pub async fn make_operation(
    self,
    _config: &Config
) -> Result<Operation<CreateEndpoint, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<CreateEndpoint>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateEndpointInput

impl CreateEndpointInput

pub fn endpoint_name(&self) -> Option<&str>

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

pub fn model_arn(&self) -> Option<&str>

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

pub fn 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) -> Option<&str>

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) -> Option<&[Tag]>

Tags associated with the endpoint being created. 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) -> Option<&str>

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

Trait Implementations

impl Clone for CreateEndpointInput

fn clone(&self) -> CreateEndpointInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateEndpointInput

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

Formats the value using the given formatter.

impl PartialEq<CreateEndpointInput> for CreateEndpointInput

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

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

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

This method tests for !=.

impl StructuralPartialEq for CreateEndpointInput