I have a code written Python and I need to deploy it on Azure ML. The python code consists of many function and returns the output in Jason format.
However when implemented on Azure ML, there are no errors. But, there is no result as such generated. It is displaying the input dataset for both Result Dataset and Python device dataset.
Can I know, how to go about it. I'm new to Azure ML, and have no clue how to go about it
https://learn.microsoft.com/en-us/azure/machine-learning/machine-learning-python-data-access
There is everything explained in detail in the link above. Look at sections: 1)How to install the Azure Machine Learning Python client library 2)Access datasets from a local Python application
In fact, I didn't try it by myself. But I hope it will be helpful.