Struct 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>,
    pub flywheel_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 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.

data_access_role_arn: 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).

flywheel_arn: Option<String>

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

Implementations

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) -> &[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.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().

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

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) -> Option<&str>

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

impl CreateEndpointInput

pub fn builder() -> CreateEndpointInputBuilder

Creates a new builder-style object to manufacture CreateEndpointInput.

Trait Implementations

impl Clone for CreateEndpointInput

fn clone(&self) -> CreateEndpointInput

Returns a duplicate 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 for CreateEndpointInput

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for CreateEndpointInput