#[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>,
}Expand description
The properties of a model as returned by the Search API.
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
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.
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§
Source§impl Model
impl Model
Sourcepub fn model_name(&self) -> Option<&str>
pub fn model_name(&self) -> Option<&str>
The name of the model.
Sourcepub fn primary_container(&self) -> Option<&ContainerDefinition>
pub fn primary_container(&self) -> Option<&ContainerDefinition>
Describes the container, as part of model definition.
Sourcepub fn containers(&self) -> &[ContainerDefinition]
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().
Sourcepub fn inference_execution_config(&self) -> Option<&InferenceExecutionConfig>
pub fn inference_execution_config(&self) -> Option<&InferenceExecutionConfig>
Specifies details about how containers in a multi-container endpoint are run.
Sourcepub fn execution_role_arn(&self) -> Option<&str>
pub fn execution_role_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
Sourcepub fn vpc_config(&self) -> Option<&VpcConfig>
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.
Sourcepub fn creation_time(&self) -> Option<&DateTime>
pub fn creation_time(&self) -> Option<&DateTime>
A timestamp that indicates when the model was created.
Sourcepub fn enable_network_isolation(&self) -> Option<bool>
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.
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().
Sourcepub fn deployment_recommendation(&self) -> Option<&DeploymentRecommendation>
pub fn deployment_recommendation(&self) -> Option<&DeploymentRecommendation>
A set of recommended deployment configurations for the model.
Trait Implementations§
impl StructuralPartialEq for Model
Auto Trait Implementations§
impl Freeze for Model
impl RefUnwindSafe for Model
impl Send for Model
impl Sync for Model
impl Unpin for Model
impl UnwindSafe for Model
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