Deleting a Model Deployment

Delete a Data Science model deployment from a project.

If you configured logs, you can manually delete the access and predict logs that are associated with a model deployment. By default the logs aren't deleted.

Model deployments that use the model deployment that you delete can't be used.

    1. Use the Console to sign in to a tenancy with the necessary policies.
    2. Open the navigation menu and select Analytics & AI. Under Machine Learning, select Data Science.
    3. Select the compartment that contains the project with the model deployments.

      All projects in the compartment are listed.

    4. Click the name of the project.

      The project details page opens and lists the notebook sessions.

    5. Under Resources, click Model deployments.

      A tabular list of model deployments in the project is displayed.

    6. Click the name of a model deployment.
    7. Click Delete.
    8. Enter the name of the model deployment that you want to delete exactly as it appears, and then click Delete.
    A notification is displayed indicating that the model deployment is deleted successfully.
  • Use the oci data-science model-deployment delete command and required parameters to delete a model deployment:

    oci data-science model-deployment delete --model-deployment-id <model-deployment-id>... [OPTIONS]

    For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

  • Use the DeleteModelDeployment operation to delete the model deployment.