Umami

The Umami documentation is avaliable here:

Below is included a brief summary on how to get started fast.

Installation

You can find the detailed described in the umami docs.

Testing & Linter

To better collaborate on this project, we require some code practices such as:

• linting (flake8, yamllint)
• unit tests
• integration tests

More details can be found here

Preprocessing

For the training of umami the ntuples are used as specified in the section MC Samples.

The ntuples need to be preprocessed following the preprocessing instructions.

DL1r instructions

If you want to train or evaluate DL1r please follow the DL1r-instructions.

DIPS instructions

If you want to train or evaluate DIPS please follow the DIPS-instructions