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We should include some description here.
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.
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
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.
FAQs
A Framework for performing cross validation for Ringer tunings
We found that kolmov demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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