Struct aws_sdk_sagemaker::output::DescribeModelOutput

#[non_exhaustive]
pub struct DescribeModelOutput {
    pub model_name: Option<String>,
    pub primary_container: Option<ContainerDefinition>,
    pub containers: Option<Vec<ContainerDefinition>>,
    pub inference_execution_config: Option<InferenceExecutionConfig>,
    pub execution_role_arn: Option<String>,
    pub vpc_config: Option<VpcConfig>,
    pub creation_time: Option<DateTime>,
    pub model_arn: Option<String>,
    pub enable_network_isolation: bool,
}

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.

model_name: Option<String>

Name of the Amazon SageMaker model.

primary_container: Option<ContainerDefinition>

The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.

containers: Option<Vec<ContainerDefinition>>

The containers in the inference pipeline.

inference_execution_config: Option<InferenceExecutionConfig>

Specifies details of how containers in a multi-container endpoint are called.

execution_role_arn: Option<String>

The Amazon Resource Name (ARN) of the IAM role that you specified for the model.

vpc_config: Option<VpcConfig>

A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud

creation_time: Option<DateTime>

A timestamp that shows when the model was created.

model_arn: Option<String>

The Amazon Resource Name (ARN) of the model.

enable_network_isolation: bool

If True, no inbound or outbound network calls can be made to or from the model container.

Implementations

impl DescribeModelOutput

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

Name of the Amazon SageMaker model.

pub fn primary_container(&self) -> Option<&ContainerDefinition>

The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.

pub fn containers(&self) -> Option<&[ContainerDefinition]>

The containers in the inference pipeline.

pub fn inference_execution_config(&self) -> Option<&InferenceExecutionConfig>

Specifies details of how containers in a multi-container endpoint are called.

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

The Amazon Resource Name (ARN) of the IAM role that you specified for the model.

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

A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud

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

A timestamp that shows when the model was created.

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

The Amazon Resource Name (ARN) of the model.

pub fn enable_network_isolation(&self) -> bool

If True, no inbound or outbound network calls can be made to or from the model container.

impl DescribeModelOutput

pub fn builder() -> Builder

Creates a new builder-style object to manufacture DescribeModelOutput

Trait Implementations

impl Clone for DescribeModelOutput

fn clone(&self) -> DescribeModelOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeModelOutput

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

Formats the value using the given formatter.

impl PartialEq<DescribeModelOutput> for DescribeModelOutput

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

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

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

This method tests for !=.

impl StructuralPartialEq for DescribeModelOutput