Package: agghoo
Encoding: UTF-8
Title: Aggregated Hold-Out Cross Validation
Date: 2023-05-23
Version: 0.1-0
Description: 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@R: c(
    person("Sylvain", "Arlot", role = "ctb"),
    person("Benjamin", "Auder", role = c("aut", "cre", "cph"), email = "benjamin.auder@universite-paris-saclay.fr"),
    person("Melina", "Gallopin", role = "ctb"),
    person("Matthieu", "Lerasle", role = "ctb"),
    person("Guillaume", "Maillard", role = "ctb")
  )
Depends: R (>= 3.5.0)
Imports: class, parallel, R6, rpart, FNN
Suggests: roxygen2, mlbench
URL: https://git.auder.net/?p=agghoo.git
License: MIT + file LICENSE
RoxygenNote: 7.2.3
Collate: 'utils.R' 'checks.R' 'R6_Model.R' 'R6_AgghooCV.R' 'agghoo.R'
        'compareTo.R'
NeedsCompilation: no
Packaged: 2023-05-24 10:06:45 UTC; auder
Author: Sylvain Arlot [ctb],
  Benjamin Auder [aut, cre, cph],
  Melina Gallopin [ctb],
  Matthieu Lerasle [ctb],
  Guillaume Maillard [ctb]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
Repository: CRAN
Date/Publication: 2023-05-25 19:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 16:11:45 UTC; unix
