Repo forked from https://github.com/dsi-engineering-ag/ml-in-production-excercises
This repository contains the basic environment for the excercises of the course 'Machine Learning in Production'.
To do the excercises, you need a Docker installation and docker-compose.
To start execute docker-compose up inside this directory. After that you have an complete test and development environment at your disposal:
| Name | Beschreibung | Link |
|---|---|---|
| Frontend | Sustaino Frontend | http://localhost:8000 |
| Eligibility Service | Service that determines eligibility | http://localhost:9000 |
| Notebook Server | Jupyter Notebook Server | http://localhost:8888 |
| ML Flow UI | MLFlow Tracking Backend Server | http://localhost:5500 |