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: 2026-10-15 11:03:51 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2023-05-25 18:50:02 UTC
RemoteUrl: https://github.com/cran/agghoo
RemoteRef: HEAD
RemoteSha: fb4db4557219223f6c63860cb174b5b74e0b872a