sagemaker_update_model_package: Updates a versioned model

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Updates a versioned model

Description

Updates a versioned model.

See https://www.paws-r-sdk.com/docs/sagemaker_update_model_package/ for full documentation.

Usage

sagemaker_update_model_package(
  ModelPackageArn,
  ModelApprovalStatus = NULL,
  ApprovalDescription = NULL,
  CustomerMetadataProperties = NULL,
  CustomerMetadataPropertiesToRemove = NULL,
  AdditionalInferenceSpecificationsToAdd = NULL
)

Arguments

ModelPackageArn	[required] The Amazon Resource Name (ARN) of the model package.
ModelApprovalStatus	The approval status of the model.
ApprovalDescription	A description for the approval status of the model.
CustomerMetadataProperties	The metadata properties associated with the model package versions.
CustomerMetadataPropertiesToRemove	The metadata properties associated with the model package versions to remove.
AdditionalInferenceSpecificationsToAdd	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.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.