How to deploy R script web service via Azure CLI

Question

Hello everyone,

I am tring to deploy R script as a web service using Azure Machine Learning. I created pipeline as below.

I can deploy the model and endpoint from [Deploy] button but I cannot control some properties: i.e. resource name, dns name.

It seems that the az ml model deploy command can be used to deploy the endpoint.

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-container-instance#using-the-azure-cli

I have no information for inferenceconfig.json. How to write score.py to execute R script? Is it any example?

Answer 1

Hi, the following document describes how to define an inference configuration.

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