A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>).
Version: 1.0.0 Depends: R (≥ 3.5.0) Imports: caret, ggplot2, dplyr, purrr, tibble, tidyr, reshape2, Polychrome, scales, rlang Suggests: snow Published: 2025-02-19 DOI: 10.32614/CRAN.package.ASML Author: Brais González-RodrÃguez [aut, cre], Ignacio Gómez-Casares [aut], Beatriz Pateiro-López [aut], Julio González-DÃaz [aut], MarÃa Caseiro-Arias [ctb], Antonio Fariña-Elorza [ctb], Manuel Timiraos-López [ctb] Maintainer: Brais González-RodrÃguez <brais.gonzalez.rodriguez at uvigo.gal> License: GPL-3 NeedsCompilation: no Language: en-US CRAN checks: ASML results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ASML to link to this page.
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