# 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 AI pipeline. For information about creating a condition step in a SageMaker AI pipeline, see [Pipelines steps](build-and-manage-steps.md).
When you use one of the SageMaker AI 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 the Amazon SageMaker Studio console. You can also update the approval status of a model version as part of a condition step in a SageMaker AI pipeline. For information about using a model approval step in a SageMaker AI pipeline, see [Pipelines overview](pipelines-overview.md).
## Update the Approval Status of a Model (Boto3)
When you created the model version in [Register a Model Version](model-registry-version.md), 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 (Studio or Studio Classic)
To manually change the approval status in the Amazon SageMaker Studio console, complete the following steps based on whether you use Studio or Studio Classic.
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#### [ Studio ]
1. Open the SageMaker Studio console by following the instructions in [Launch Amazon SageMaker Studio](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-updated-launch.html).
1. In the left navigation pane, choose the **Models** to display a list of your model groups.
1. Choose the **Registered models** tab, if not selected already.
1. Immediately below the **Registered models** tab label, choose **Model Groups**, if not selected already.
1. From the model groups list, choose the angle bracket to the left of the model group that you want to view.
1. A list of the model versions in the model group appears. If you don't see the model version that you want to delete, choose **View all** to display the complete list of model versions in the model group details page.
1. Select the name of the model version that you want to update.
1. The **Deploy** tab displays the current approval status. Choose the dropdown menu next to the current approval status and select the updated approval status.
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#### [ Studio Classic ]
1. Sign in to Amazon SageMaker Studio Classic. For more information, see [Launch Amazon SageMaker Studio Classic](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-launch.html).
1. In the left navigation pane, choose the **Home** icon ( ).
1. Choose **Models**, and then **Model registry**.
1. From the model groups list, select the name of the Model Group that you want to view. A new tab opens with a list of the model versions in the Model Group.
1. In the list of model versions, select the name of the model version that you want to update.
1. Under the **Actions** dropdown menu, you can choose one of two possible menu options to update the model version status.
+ Using the **Update Status** option
1. Under the **Actions** dropdown menu, choose the **Update Status** dropdown menu, and choose the new model version status.
1. (Optional) In the **Comment** field, add additional details.
1. Choose **Save and Update**.
+ Using the **Edit** option
1. Under the **Actions** dropdown menu, choose **Edit**.
1. (Optional) In the **Comment** field, add additional details.
1. Choose **Save changes**.
1. Confirm the model version status is updated to the correct value in the model version page.
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For `us-east-1`, `us-west-2`, `ap-northeast-1`, and `eu-west-1` regions, you can use the following instructions to access the lineage details for logged and registered model versions:
1. Open the SageMaker Studio console by following the instructions in [Launch Amazon SageMaker Studio](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-updated-launch.html).
1. Choose **Models** from the left navigation pane.
1. Choose the Logged **models** tab, if not selected already, then select **Registered Models**.
1. Select a model and choose **View Latest Version**.
1. Choose the **Governance** tab.
1. The **Deploy** section under **Governance overview** displays the current approval status. Select the updated approval status from the dropdown menu.