A simple python service which handles reproducible zimp experiments
Uses information from https://towardsdatascience.com/deploy-mlflow-with-docker-compose-8059f16b6039
Steps:
- Create an
.env
file with required variables (Run the command below if you are unsure which are required) - In a demo-setting the values can be chosen arbitrarily - Run
docker-compose up -d --build
- Wait for completion and then check
127.0.0.1:80