2 \documentclass[letterpaper
]{book
}
3 \usepackage[times,hyper
]{Rd
}
5 \usepackage[utf8
]{inputenc} % @SET ENCODING@
6 % \usepackage{graphicx} % @USE GRAPHICX@
11 {\textbf{\huge Package `agghoo'
}}
12 \par\bigskip{\large \today}
14 \ifthenelse{\boolean{Rd@use@hyper
}}{\hypersetup{pdftitle =
{agghoo: Aggregated Hold-Out Cross Validation
}}}{}
17 \item[Title
]\AsIs{Aggregated Hold-Out Cross Validation
}
18 \item[Date
]\AsIs{2022-
08-
30}
19 \item[Version
]\AsIs{0.1-
0}
20 \item[Description
]\AsIs{The 'agghoo' procedure is an alternative to usual cross-validation.
21 Instead of choosing the best model trained on V subsamples, it determines
22 a winner model for each subsample, and then aggregate the V outputs.
23 For the details, see ``Aggregated hold-out'' by Guillaume Maillard,
24 Sylvain Arlot, Matthieu Lerasle (
2021) <
}\Rhref{https://arxiv.org/abs/
1909.04890}{arXiv:
1909.04890}\AsIs{>
25 published in Journal of Machine Learning Research
22(
20):
1--
55.
}
26 \item[Author
]\AsIs{Sylvain Arlot
}\email{sylvain.arlot@universite-paris-saclay.fr
}\AsIs{ [cph,ctb
],
27 Benjamin Auder
}\email{benjamin.auder@universite-paris-saclay.fr
}\AsIs{ [aut,cre,cph
],
28 Melina Gallopin
}\email{melina.gallopin@universite-paris-saclay.fr
}\AsIs{ [cph,ctb
],
29 Matthieu Lerasle
}\email{matthieu.lerasle@universite-paris-saclay.fr
}\AsIs{ [cph,ctb
],
30 Guillaume Maillard
}\email{guillaume.maillard@uni.lu
}\AsIs{ [cph,ctb
]}
31 \item[Maintainer
]\AsIs{Benjamin Auder
}\email{benjamin.auder@universite-paris-saclay.fr
}\AsIs{}
32 \item[Depends
]\AsIs{R (>=
3.5.0)
}
33 \item[Imports
]\AsIs{class, parallel, R6, rpart, FNN
}
34 \item[Suggests
]\AsIs{roxygen2
}
35 \item[URL
]\AsIs{}\url{https://git.auder.net/?p=agghoo.git
}\AsIs{}
36 \item[License
]\AsIs{MIT + file LICENSE
}
37 \item[RoxygenNote
]\AsIs{7.2.1}
38 \item[Collate
]\AsIs{'compareTo.R' 'agghoo.R' 'R6_AgghooCV.R' 'R6_Model.R'
39 'checks.R' 'utils.R' 'A_NAMESPACE.R'
}
40 \item[NeedsCompilation
]\AsIs{no
}
42 \Rdcontents{\R{} topics documented:
}