UpdateModelCard - Amazon SageMaker
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).


Update an Amazon SageMaker Model Card.


You cannot update both model card content and model card status in a single call.

Request Syntax

{ "Content": "string", "ModelCardName": "string", "ModelCardStatus": "string" }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.


The updated model card content. Content must be in model card JSON schema and provided as a string.

When updating model card content, be sure to include the full content and not just updated content.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 100000.

Pattern: .*

Required: No


The name or Amazon Resource Name (ARN) of the model card to update.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 256.

Pattern: (arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:model-card/.*)?([a-zA-Z0-9](-*[a-zA-Z0-9]){0,62})

Required: Yes


The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.

  • PendingReview: The model card is pending review.

  • Approved: The model card is approved.

  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

Type: String

Valid Values: Draft | PendingReview | Approved | Archived

Required: No

Response Syntax

{ "ModelCardArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.


The Amazon Resource Name (ARN) of the updated model card.

Type: String

Length Constraints: Maximum length of 256.

Pattern: ^arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]{9,16}:[0-9]{12}:model-card/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$


For information about the errors that are common to all actions, see Common Errors.


There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

HTTP Status Code: 400


You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400


Resource being access is not found.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: