Local deployment is deploying a model to a local Docker environment. For Azure Machine Learning Python SDK v2, see Install the Azure Machine Learning SDK v2 for Python.For Azure Machine Learning CLI v2, see Install, set up, and use the CLI (v2).Try the free or paid version of Azure Machine Learning. The section HTTP status codes explains how invocation and prediction errors map to HTTP status codes when scoring endpoints with REST requests. Understand common deployment errors that might arise and how to fix them.Use container logs to help debug issues.Use local deployment to test and debug your models locally before deploying in the cloud.
This document is structured in the way you should approach troubleshooting: Learn how to resolve common issues in the deployment and scoring of Azure Machine Learning online endpoints. APPLIES TO: Azure CLI ml extension v2 (current) Python SDK azure-ai-ml v2 (current)
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