Pickled files gets cleared automatically when running it on Azure ML studio from SDK #1
Description
Hi Binod,
Came after after seeing your youtube video. thanks for your help on this to kickstart this journey.
https://www.youtube.com/watch?v=eIS3ZAVIgn8&t=1820s
I am having issues when i try to deploy the codebase of your Azure SDK deployment when done.
The issue being the pickled file gets created when train.py or train_log.py file is run independtly on local the .pkl file gets created.
Where as when it is run in the Azure ML studio the .pkl file gets created and gets deleted as soon as it gets created. I have ran the code to see if it gets created before deleting.
Maybe u help understand the issue.?
