I was trying to run a sample tutorial notebook through the ml studio.
But when i uploaded i used kernel python3. But when i ran it failed with the error azureml.core not found.
I am new to Azure Stack and ML. Should i install python 3.6 on my own through conda and have my own kernel, i noticed the current installation of python on studio is 3.4.
Please let me know how to proceed further ? I am blocked on it. I need help on deploying the 3.6 version of python on the notebook server. I am not using the notebook vm. I am just using whatever came with the azure notebook option in the ml studio.
How to alter the sys path to point to my libraries to after installation of the new version of python ?
Need help.
It works fine in my local environment as i have python3.6 installed.