Package: agghoo Title: Aggregated Hold-out Cross Validation Date: 2021-06-05 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 aggregate the V outputs. For the details, see "Aggregated hold-out" by Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle (2021) published in Journal of Machine Learning Research 22(20):1--55. Author: Sylvain Arlot [cph,ctb], Benjamin Auder [aut,cre,cph], Melina Gallopin [cph,ctb], Matthieu Lerasle [cph,ctb], Guillaume Maillard [cph,ctb] Maintainer: Benjamin Auder Depends: R (>= 3.5.0) Imports: R6, rpart, randomForest, FNN Suggests: roxygen2 URL: https://git.auder.net/?p=agghoo.git License: MIT + file LICENSE RoxygenNote: 7.1.1 Collate: 'compareTo.R' 'agghoo.R' 'R6_AgghooCV.R' 'R6_Model.R' 'checks.R' 'utils.R' 'A_NAMESPACE.R'