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A classification algorithm is used to train model using AUTO ML and the best model that provides better accuracy is selected and deployed in Azure container instance(ACI). The deployed model provides end point to send request to REST API and also Swagger URI. Document is generated using swagger and models are consumed using end point.
A complete solution for creating and deploying a self-hosted agent/runner for Azure DevOps and Github using Docker containers. The solution supports automated deployment using bicep to Azure cloud where the agent/runner is hosted.