Introduction

This repository is used during the Fuzzy Labs technical interview to explore different aspects of MLOps around a basic model. You'll find code to train a straightforward regression model to predict house prices, and during the interview we'll discuss and implement various MLOps capabilities on top of the model.

Running locally

Pre-requisites

• Python version 3.7 or newer.
• Pip

Setup using pip and virtualenv

python -m venv env
source env/bin/activate
pip install -r requirements.txt

Training the model

python training/train.py

This will result in a trained model being saved to the models/ directory.

Running the server

python server/server.py

This starts a Flask server, ready to accept inference requests.