1. Introduction
2. Installation
3. Quick Start
4. How To (Main questions)
5. Details on main scripts
6. Database

The script MLfood.py has plenty of possible usages and features, but in most cases you only want to start a bunch of compilations.

An easy usage should be:

./MLfood.py 100

This command will start 100 compilations after each other and retrieves all the logs to the Logs folder. This will use the production Docker image "prod".

./MLfood.py 100 --dev

This command is the same as the previous one, but it will run on the development Docker image "dev". This image is the latest update but it can be unstable instead of "prod".

Other options are available for MLfood.py. You can see the help by running:

./MLfood.py -h

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