Struct ModelPackage

pub struct ModelPackage {

    pub approval_description: Option<String>,
    pub certify_for_marketplace: Option<bool>,
    pub created_by: Option<UserContext>,
    pub creation_time: Option<f64>,
    pub inference_specification: Option<InferenceSpecification>,
    pub last_modified_by: Option<UserContext>,
    pub last_modified_time: Option<f64>,
    pub metadata_properties: Option<MetadataProperties>,
    pub model_approval_status: Option<String>,
    pub model_metrics: Option<ModelMetrics>,
    pub model_package_arn: Option<String>,
    pub model_package_description: Option<String>,
    pub model_package_group_name: Option<String>,
    pub model_package_name: Option<String>,
    pub model_package_status: Option<String>,
    pub model_package_status_details: Option<ModelPackageStatusDetails>,
    pub model_package_version: Option<i64>,
    pub source_algorithm_specification: Option<SourceAlgorithmSpecification>,
    pub tags: Option<Vec<Tag>>,
    pub validation_specification: Option<ModelPackageValidationSpecification>,
}

A versioned model that can be deployed for SageMaker inference.

Fields

approval_description: Option<String>

A description provided when the model approval is set.

certify_for_marketplace: Option<bool>

Whether the model package is to be certified to be listed on AWS Marketplace. For information about listing model packages on AWS Marketplace, see List Your Algorithm or Model Package on AWS Marketplace.

created_by: Option<UserContext>

creation_time: Option<f64>

The time that the model package was created.

inference_specification: Option<InferenceSpecification>

last_modified_by: Option<UserContext>

last_modified_time: Option<f64>

The last time the model package was modified.

metadata_properties: Option<MetadataProperties>

model_approval_status: Option<String>

The approval status of the model. This can be one of the following values.

• APPROVED - The model is approved

• REJECTED - The model is rejected.

• PENDINGMANUALAPPROVAL - The model is waiting for manual approval.

model_metrics: Option<ModelMetrics>

Metrics for the model.

model_package_arn: Option<String>

The Amazon Resource Name (ARN) of the model package.

model_package_description: Option<String>

The description of the model package.

model_package_group_name: Option<String>

The model group to which the model belongs.

model_package_name: Option<String>

The name of the model.

model_package_status: Option<String>

The status of the model package. This can be one of the following values.

• PENDING - The model package is pending being created.

• IN_PROGRESS - The model package is in the process of being created.

• COMPLETED - The model package was successfully created.

• FAILED - The model package failed.

• DELETING - The model package is in the process of being deleted.

model_package_status_details: Option<ModelPackageStatusDetails>

model_package_version: Option<i64>

The version number of a versioned model.

source_algorithm_specification: Option<SourceAlgorithmSpecification>

tags: Option<Vec<Tag>>

A list of the tags associated with the model package. For more information, see Tagging AWS resources in the AWS General Reference Guide.

validation_specification: Option<ModelPackageValidationSpecification>

Trait Implementations

impl Clone for ModelPackage

fn clone(&self) -> ModelPackage

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelPackage

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

Formats the value using the given formatter.

impl Default for ModelPackage

fn default() -> ModelPackage

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ModelPackage

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ModelPackage

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