sagemaker_describe_model_package: Returns a description of the specified model package, which...

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

Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace

Description

Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.

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

Usage

sagemaker_describe_model_package(ModelPackageName, IncludedData = NULL)

Arguments

ModelPackageName

[required] The name or Amazon Resource Name (ARN) of the model package to describe. When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).

IncludedData

Specifies the level of model package data to include in the response. Use this parameter to call describe_model_package on a model package that has an associated model card without requiring kms:Decrypt permission on the customer-managed KMS key associated with the embedded model card. AllData: Returns the full model package response, including the unredacted ModelCard.ModelCardContent. This option requires kms:Decrypt permission on the customer-managed key, if one is associated with the embedded model card. This is the default. MetadataOnly: Returns the full model package response, but with the embedded ModelCard.ModelCardContent sanitized to include only a small set of unencrypted metadata fields. This option does not require kms:Decrypt permission. All other top-level response fields, including InferenceSpecification, ModelMetrics, DriftCheckBaselines, and SecurityConfig, are returned unchanged. For the list of fields preserved within ModelCardContent, see ModelCard. If you don't specify a value, SageMaker returns AllData.

paws.machine.learning documentation built on Oct. 8, 2026, 9:06 a.m.