Struct aws_sdk_sagemaker::types::Model

#[non_exhaustive]
pub struct Model {
    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: Option<bool>,
    pub tags: Option<Vec<Tag>>,
    pub deployment_recommendation: Option<DeploymentRecommendation>,
}

The properties of a model as returned by the Search API.

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>

The name of the model.

primary_container: Option<ContainerDefinition>

Describes the container, as part of model definition.

containers: Option<Vec<ContainerDefinition>>

The containers in the inference pipeline.

inference_execution_config: Option<InferenceExecutionConfig>

Specifies details about how containers in a multi-container endpoint are run.

execution_role_arn: Option<String>

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

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.

creation_time: Option<DateTime>

A timestamp that indicates when the model was created.

model_arn: Option<String>

The Amazon Resource Name (ARN) of the model.

enable_network_isolation: Option<bool>

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

tags: Option<Vec<Tag>>

A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

deployment_recommendation: Option<DeploymentRecommendation>

A set of recommended deployment configurations for the model.

Implementations

impl Model

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

The name of the model.

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

Describes the container, as part of model definition.

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

The containers in the inference pipeline.

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

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

Specifies details about how containers in a multi-container endpoint are run.

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>

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

A timestamp that indicates 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) -> Option<bool>

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

pub fn tags(&self) -> &[Tag]

A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

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 deployment_recommendation(&self) -> Option<&DeploymentRecommendation>

A set of recommended deployment configurations for the model.

impl Model

pub fn builder() -> ModelBuilder

Creates a new builder-style object to manufacture Model.

Trait Implementations

impl Clone for Model

fn clone(&self) -> Model

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Model

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

Formats the value using the given formatter.

impl PartialEq for Model

fn eq(&self, other: &Model) -> 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 Model