First published on MSDN on May 25, 2018
Microsoft Machine Learning Server’s operationalization feature enables data scientists to operationalize their R and Python analytics. In this blog, we will see how to operationalize Keras models as web services in R and Python.
to know more about Microsoft Machine Learning Server Operationalization. You can configure Machine Learning Server to operationalize analytics on a single machine (
Create a web service for Keras models in Python
Before you can use the web service management functions in the azureml-model-management-sdk Python package, you must:
Have access to a Python-enabled instance of Machine Learning Server that was
to host web services.
Authenticate with Machine Learning Server in Python as described in "Connecting to Machine Learning Server."