Cloud agnostic solution for deploying Machine Learning models in docker and kubernetes
This file is used to build Docker Image where our inferencing logic and trained model is present
A simple python code that loads the trained model for the predictions based on the request
REST API logic using Flask where our predict.py code is exposed as an API
JSON file where user needs to provide details like Name of the deploying model and few other system configurations