Building a friendly api on top of an Azure ML - Any thoughts or suggestions?
Hi,
We're looking at a project where the goal is to provide a friendly api for a phone app to use. The data comes from Azure ML and our client would like to have requests and responses that fit with their business model rather than the generic table/columns that is shown in the examples.
https://docs.microsoft.com/en-us/azure/machine-learning/studio/consume-web-services
My first assumption was to make a separate service that "simply" calls the Azure ML service, but maybe there is a more appropriate way to do it.
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