SreenivasKalahasti / mlops-2

Cloud agnostic solution for deploying Machine Learning models in docker and kubernetes

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mlops

Cloud agnostic solution for deploying Machine Learning models in docker and kubernetes

Dockerfile

This file is used to build Docker Image where our inferencing logic and trained model is present

predit.py

A simple python code that loads the trained model for the predictions based on the request

app.py

REST API logic using Flask where our predict.py code is exposed as an API

config.json

JSON file where user needs to provide details like Name of the deploying model and few other system configurations

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Cloud agnostic solution for deploying Machine Learning models in docker and kubernetes


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Language:Python 82.5%Language:Dockerfile 17.5%