mlflow-pytorch-simple-example

A simple example of a locally trained PyTorch model, which is registered and used to create a real-time endpoint in Azure ML. The end goal is to have a real-time endpoint in Azure ML for inferencing. A sample view of the final state is shown below.

Steps

• Ensure you have a file called sub.env in the root with SUB_ID=<your subscription id>.
• Follow the steps in the Makefile to reproduce a similar outcome.