kolmov 2.0.5

A Framework for performing cross validation for Ringer tunings

KoLMoV

We should include some description here.

What does mean?

KoLMoV (Kit of Learning Models Validation) is a repository that contains somes helpers to calculate the cross validation or pileup linear fit for ringer tuning derived from saphyra package.

NOTE This repository is part of the ringer analysis kit.

Installation:

Install stable version from pip:

pip install kolmov

or install latest version from git:

pip install git+https://github.com/ringer-atlas/kolmov.git@master

or install from source:

git clone https://github.com/ringer-atlas/kolmov.git 
cd kolmov
source scripts/setup.sh

Notes about ringer project:

In 2017 the ATLAS experiment implemented an ensemble of neural networks (NeuralRinger algorithm) dedicated to improving the performance of filtering events containing electrons in the high-input rate online environment of the Large Hadron Collider at CERN, Geneva. The ensemble employs a concept of calorimetry rings. The training procedure and final structure of the ensemble are used to minimize fluctuations from detector response, according to the particle energy and position of incidence.