Update the Approval Status of a Model

After you create a model version, you typically want to evaluate its performance before you deploy it to a production endpoint. If it performs to your requirements, you can update the approval status of the model version to Approved. Setting the status to Approved can initiate CI/CD deployment for the model. If the model version does not perform to your requirements, you can update the approval status to Rejected.

You can manually update the approval status of a model version after you register it, or you can create a condition step to evaluate the model when you create a SageMaker pipeline. For information about creating a condition step in a SageMaker pipeline, see Pipeline Steps.

When you use one of the SageMaker provided project templates and the approval status of a model version changes, the following action occurs. Only valid transitions are shown.

• PendingManualApproval to Approved – initiates CI/CD deployment for the approved model version

• PendingManualApproval to Rejected – No action

• Rejected to Approved – initiates CI/CD deployment for the approved model version

• Approved to Rejected – initiates CI/CD to deploy the latest model version with an Approved status

You can update the approval status of a model version by using the AWS SDK for Python (Boto3) or by using Amazon SageMaker Studio. You can also update the approval status of a model version as part of a condition step in a SageMaker pipeline. For information about using a model approval step in a SageMaker pipeline, see SageMaker Pipelines Overview.

Update the Approval Status of a Model (Boto3)

When you created the model version in Register a Model Version, you set the ModelApprovalStatus to PendingManualApproval. You update the approval status for the model by calling update_model_package. Note that you can automate this process by writing code that, for example, sets the approval status of a model depending on the result of an evaluation of some measure of the model's performance. You can also create a step in a pipeline that automatically deploys a new model version when it is approved. The following code snippet shows how to manually change the approval status to Approved.

model_package_update_input_dict = {
    "ModelPackageArn" : model_package_arn,
    "ModelApprovalStatus" : "Approved"
}
model_package_update_response = sm_client.update_model_package(**model_package_update_input_dict)

Update the Approval Status of a Model (Amazon SageMaker Studio)

The following procedure shows how to manually change the approval status from Approved to Rejected.

1. Sign in to Studio. For more information, see Onboard to Amazon SageMaker Domain.

2. In the left navigation pane, choose the Home icon ( ).

3. Choose Models, and then Model registry.

4. From the model groups list, select the name of the Model Group you want to view. A new tab opens with a list of the model versions in the Model Group.

5. In the list of model versions, select the name of the model version you want to update.

6. Under the Actions dropdown menu, choose Update Status.

7. In the Update model version status dialog box, for Status choose the correct status, and then choose Update status.