OCI Data Science: implementing Model Deployment Errors in Python SDK
I'm migrating some code and I'm not sure how to approach I've been struggling with this for a few days now and could really use some help... I'm trying to deploy a machine learning model using the Oracle Cloud Infrastructure (OCI) Data Science service with the Python SDK, but I'm running into a deployment behavior that I need to quite figure out. After training my model, I followed the documentation to create a deployment, but I'm getting the following behavior message: `ClientError: (400, 'Invalid request. The deployment configuration is invalid.')`. Here's the code I used to create the deployment: ```python import oci from oci.data_science import DataScienceClient # Setting up the client config = oci.config.from_file() dsc_client = DataScienceClient(config) # Model details model_id = 'your_model_id' model_deployment_details = { 'modelId': model_id, 'displayName': 'MyModelDeployment', 'projectId': 'your_project_id', 'modelDeploymentConfiguration': { 'instanceCount': 1, 'instanceShape': 'VM.Standard2.1', 'instanceShapeConfig': { 'memoryInGBs': 16, 'ocpus': 1 } } } # Create deployment try: response = dsc_client.create_model_deployment(model_deployment_details) print('Deployment created successfully:', response.data.id) except oci.exceptions.ServiceError as e: print('ServiceError:', e) except Exception as e: print('behavior:', e) ``` I've checked the model ID and project ID multiple times, and they both exist and are accurately referenced. I also ensured that the instance shape and configuration are valid according to OCI documentation. However, I still encounter the same behavior. I've also tried different instance shapes and adjusted the instance count, but nothing seems to resolve the scenario. Does anyone have suggestions on common pitfalls or additional validation steps I could take to troubleshoot this deployment behavior? My development environment is Ubuntu 22.04. Could someone point me to the right documentation? What's the best practice here?