MS Azure real-time endpoint prediction model usage from Yellowfin
Hello, I have a prediction model deployed in Azure. I have a real-time endpoint to make requests and get back the result of the prediction. I send a get request with the input parameters as a JSON payload. Below is the python format of the get request:
urllib.request.Request(url, body, headers)Body contains JSON payload as parameters.
I want to be able use this model from Yellowfin.
So far the most suitable way seemed to use JSON connector. However, there have been two problems:
1- JSON connector expects parameters in the url itself. How can pass input parameters in the format JSON payload like above?
2- My prediction model returns either true or false as the response. How can I combine this result with the initial parameters I sent as output?
Or more generally, how can I make use of this model via Yellowfin? I want to send my input from Yellowfin to this endpoint and I want to receive the prediction result back.