Struct aws_sdk_sagemaker::operation::describe_endpoint_config::DescribeEndpointConfigOutput

#[non_exhaustive]
pub struct DescribeEndpointConfigOutput {
    pub endpoint_config_name: Option<String>,
    pub endpoint_config_arn: Option<String>,
    pub production_variants: Option<Vec<ProductionVariant>>,
    pub data_capture_config: Option<DataCaptureConfig>,
    pub kms_key_id: Option<String>,
    pub creation_time: Option<DateTime>,
    pub async_inference_config: Option<AsyncInferenceConfig>,
    pub explainer_config: Option<ExplainerConfig>,
    pub shadow_production_variants: Option<Vec<ProductionVariant>>,
    pub execution_role_arn: Option<String>,
    pub vpc_config: Option<VpcConfig>,
    pub enable_network_isolation: Option<bool>,
    /* private fields */
}

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_config_name: Option<String>

Name of the SageMaker endpoint configuration.

endpoint_config_arn: Option<String>

The Amazon Resource Name (ARN) of the endpoint configuration.

production_variants: Option<Vec<ProductionVariant>>

An array of ProductionVariant objects, one for each model that you want to host at this endpoint.

data_capture_config: Option<DataCaptureConfig>

Configuration to control how SageMaker captures inference data.

kms_key_id: Option<String>

Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.

creation_time: Option<DateTime>

A timestamp that shows when the endpoint configuration was created.

async_inference_config: Option<AsyncInferenceConfig>

Returns the description of an endpoint configuration created using the CreateEndpointConfig API.

explainer_config: Option<ExplainerConfig>

The configuration parameters for an explainer.

shadow_production_variants: Option<Vec<ProductionVariant>>

An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.

execution_role_arn: Option<String>

The Amazon Resource Name (ARN) of the IAM role that you assigned to the endpoint configuration.

vpc_config: Option<VpcConfig>

Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.

enable_network_isolation: Option<bool>

Indicates whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.

Implementations

impl DescribeEndpointConfigOutput

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

Name of the SageMaker endpoint configuration.

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

The Amazon Resource Name (ARN) of the endpoint configuration.

pub fn production_variants(&self) -> &[ProductionVariant]

An array of ProductionVariant objects, one for each model that you want to host at this endpoint.

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

pub fn data_capture_config(&self) -> Option<&DataCaptureConfig>

Configuration to control how SageMaker captures inference data.

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

Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.

pub fn creation_time(&self) -> Option<&DateTime>

A timestamp that shows when the endpoint configuration was created.

pub fn async_inference_config(&self) -> Option<&AsyncInferenceConfig>

Returns the description of an endpoint configuration created using the CreateEndpointConfig API.

pub fn explainer_config(&self) -> Option<&ExplainerConfig>

The configuration parameters for an explainer.

pub fn shadow_production_variants(&self) -> &[ProductionVariant]

An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.

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

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

The Amazon Resource Name (ARN) of the IAM role that you assigned to the endpoint configuration.

pub fn vpc_config(&self) -> Option<&VpcConfig>

Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.

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

Indicates whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.

impl DescribeEndpointConfigOutput

pub fn builder() -> DescribeEndpointConfigOutputBuilder

Creates a new builder-style object to manufacture DescribeEndpointConfigOutput.

Trait Implementations

impl Clone for DescribeEndpointConfigOutput

fn clone(&self) -> DescribeEndpointConfigOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeEndpointConfigOutput

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

Formats the value using the given formatter.

impl PartialEq for DescribeEndpointConfigOutput

fn eq(&self, other: &DescribeEndpointConfigOutput) -> 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 RequestId for DescribeEndpointConfigOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for DescribeEndpointConfigOutput