I have generated a common Sklearn model for text classification which I want to make accessible in the cloud (there is no provider preference) as an API.So far the closest solution that I managed to find is in this tutorial but it seems quite complex (getting the venv.zip dependencies package at the beginning is unclear, for instance) and specific (in my case NLTK and an external Stanford segmenter is involved for preprocessing and I cannot figure out where to put all these modules and how to invoke them).Is there a decent and robust way to solve this challenge?
How to Deploy a Scikit-learn Model into the Cloud?
scikit learn;cloud;model deployment