zimp-orchestrator

A simple python service which handles reproducible zimp experiments

MLFlow Set-Up

Uses information from https://towardsdatascience.com/deploy-mlflow-with-docker-compose-8059f16b6039
Steps:

1. 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
2. Run docker-compose up -d --build
3. Wait for completion and then check 127.0.0.1:80