Struct UpdateModelPackageFluentBuilder

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pub struct UpdateModelPackageFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to UpdateModelPackage.

Updates a versioned model.

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impl UpdateModelPackageFluentBuilder

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pub fn as_input(&self) -> &UpdateModelPackageInputBuilder

Access the UpdateModelPackage as a reference.

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pub async fn send( self, ) -> Result<UpdateModelPackageOutput, SdkError<UpdateModelPackageError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<UpdateModelPackageOutput, UpdateModelPackageError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn model_package_arn(self, input: impl Into<String>) -> Self

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

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pub fn set_model_package_arn(self, input: Option<String>) -> Self

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

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pub fn get_model_package_arn(&self) -> &Option<String>

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

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pub fn model_approval_status(self, input: ModelApprovalStatus) -> Self

The approval status of the model.

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pub fn set_model_approval_status( self, input: Option<ModelApprovalStatus>, ) -> Self

The approval status of the model.

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pub fn get_model_approval_status(&self) -> &Option<ModelApprovalStatus>

The approval status of the model.

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pub fn approval_description(self, input: impl Into<String>) -> Self

A description for the approval status of the model.

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pub fn set_approval_description(self, input: Option<String>) -> Self

A description for the approval status of the model.

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pub fn get_approval_description(&self) -> &Option<String>

A description for the approval status of the model.

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pub fn customer_metadata_properties( self, k: impl Into<String>, v: impl Into<String>, ) -> Self

Adds a key-value pair to CustomerMetadataProperties.

To override the contents of this collection use set_customer_metadata_properties.

The metadata properties associated with the model package versions.

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pub fn set_customer_metadata_properties( self, input: Option<HashMap<String, String>>, ) -> Self

The metadata properties associated with the model package versions.

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pub fn get_customer_metadata_properties( &self, ) -> &Option<HashMap<String, String>>

The metadata properties associated with the model package versions.

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pub fn customer_metadata_properties_to_remove( self, input: impl Into<String>, ) -> Self

Appends an item to CustomerMetadataPropertiesToRemove.

To override the contents of this collection use set_customer_metadata_properties_to_remove.

The metadata properties associated with the model package versions to remove.

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pub fn set_customer_metadata_properties_to_remove( self, input: Option<Vec<String>>, ) -> Self

The metadata properties associated with the model package versions to remove.

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pub fn get_customer_metadata_properties_to_remove(&self) -> &Option<Vec<String>>

The metadata properties associated with the model package versions to remove.

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pub fn additional_inference_specifications_to_add( self, input: AdditionalInferenceSpecificationDefinition, ) -> Self

Appends an item to AdditionalInferenceSpecificationsToAdd.

To override the contents of this collection use set_additional_inference_specifications_to_add.

An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.

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pub fn set_additional_inference_specifications_to_add( self, input: Option<Vec<AdditionalInferenceSpecificationDefinition>>, ) -> Self

An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.

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pub fn get_additional_inference_specifications_to_add( &self, ) -> &Option<Vec<AdditionalInferenceSpecificationDefinition>>

An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.

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pub fn inference_specification(self, input: InferenceSpecification) -> Self

Specifies details about inference jobs that you can run with models based on this model package, including the following information:

  • The Amazon ECR paths of containers that contain the inference code and model artifacts.

  • The instance types that the model package supports for transform jobs and real-time endpoints used for inference.

  • The input and output content formats that the model package supports for inference.

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pub fn set_inference_specification( self, input: Option<InferenceSpecification>, ) -> Self

Specifies details about inference jobs that you can run with models based on this model package, including the following information:

  • The Amazon ECR paths of containers that contain the inference code and model artifacts.

  • The instance types that the model package supports for transform jobs and real-time endpoints used for inference.

  • The input and output content formats that the model package supports for inference.

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pub fn get_inference_specification(&self) -> &Option<InferenceSpecification>

Specifies details about inference jobs that you can run with models based on this model package, including the following information:

  • The Amazon ECR paths of containers that contain the inference code and model artifacts.

  • The instance types that the model package supports for transform jobs and real-time endpoints used for inference.

  • The input and output content formats that the model package supports for inference.

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pub fn source_uri(self, input: impl Into<String>) -> Self

The URI of the source for the model package.

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pub fn set_source_uri(self, input: Option<String>) -> Self

The URI of the source for the model package.

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pub fn get_source_uri(&self) -> &Option<String>

The URI of the source for the model package.

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pub fn model_card(self, input: ModelPackageModelCard) -> Self

The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.

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pub fn set_model_card(self, input: Option<ModelPackageModelCard>) -> Self

The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.

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pub fn get_model_card(&self) -> &Option<ModelPackageModelCard>

The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.

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pub fn model_life_cycle(self, input: ModelLifeCycle) -> Self

A structure describing the current state of the model in its life cycle.

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pub fn set_model_life_cycle(self, input: Option<ModelLifeCycle>) -> Self

A structure describing the current state of the model in its life cycle.

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pub fn get_model_life_cycle(&self) -> &Option<ModelLifeCycle>

A structure describing the current state of the model in its life cycle.

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pub fn client_token(self, input: impl Into<String>) -> Self

A unique token that guarantees that the call to this API is idempotent.

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pub fn set_client_token(self, input: Option<String>) -> Self

A unique token that guarantees that the call to this API is idempotent.

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pub fn get_client_token(&self) -> &Option<String>

A unique token that guarantees that the call to this API is idempotent.

Trait Implementations§

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impl Clone for UpdateModelPackageFluentBuilder

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fn clone(&self) -> UpdateModelPackageFluentBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for UpdateModelPackageFluentBuilder

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

Formats the value using the given formatter. Read more

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