# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "agghoo" in publications use:'
type: software
license: MIT
title: 'agghoo: Aggregated Hold-Out Cross Validation'
version: 0.1-0
doi: 10.32614/CRAN.package.agghoo
abstract: The 'agghoo' procedure is an alternative to usual cross-validation. Instead
  of choosing the best model trained on V subsamples, it determines a winner model
  for each subsample, and then aggregates the V outputs. For the details, see "Aggregated
  hold-out" by Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle (2021) <arXiv:1909.04890>
  published in Journal of Machine Learning Research 22(20):1--55.
authors:
- family-names: Auder
  given-names: Benjamin
  email: benjamin.auder@universite-paris-saclay.fr
repository: https://CRAN.R-project.org/package=agghoo
url: https://git.auder.net/?p=agghoo.git
date-released: '2023-05-23'
contact:
- family-names: Auder
  given-names: Benjamin
  email: benjamin.auder@universite-paris-saclay.fr