Package: ASML Type: Package Title: Algorithm Portfolio Selection with Machine Learning Version: 1.1.0 Authors@R: c( person(given = "Brais", family = "González-Rodríguez", email = "brais.gonzalez.rodriguez@uvigo.gal", role = c("aut","cre"), comment = c(ORCID = "0000-0001-5276-2320")), person(given = "Ignacio", family = "Gómez-Casares", role = c("aut"), comment = c(ORCID = "0000-0003-0420-7319")), person(given = "Beatriz", family = "Pateiro-López", role = c("aut"), comment = c(ORCID = "0000-0002-7714-1835")), person(given = "Julio", family = "González-Díaz", role = c("aut"), comment = c(ORCID = "0000-0002-4667-4348")), person(given = "María", family = "Caseiro-Arias", role = c("ctb")), person(given = "Antonio", family = "Fariña-Elorza", role = c("ctb")), person(given = "Manuel", family = "Timiraos-López", role = c("ctb"))) Description: 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) ). License: GPL-3 Language: en-US Encoding: UTF-8 LazyData: true Imports: caret, ggplot2, DALEX, dplyr, purrr, tibble, tidyr, reshape2, Polychrome, scales, rlang Suggests: snow Depends: R (>= 3.5.0) RoxygenNote: 7.3.3 NeedsCompilation: no Packaged: 2026-10-12 11:23:30 UTC; root Author: Brais González-Rodríguez [aut, cre] (ORCID: ), Ignacio Gómez-Casares [aut] (ORCID: ), Beatriz Pateiro-López [aut] (ORCID: ), Julio González-Díaz [aut] (ORCID: ), María Caseiro-Arias [ctb], Antonio Fariña-Elorza [ctb], Manuel Timiraos-López [ctb] Maintainer: Brais González-Rodríguez Config/pak/sysreqs: libicu-dev Repository: https://brais-gonzalez.r-universe.dev Date/Publication: 2025-09-29 13:40:02 UTC RemoteUrl: https://github.com/cran/ASML RemoteRef: HEAD RemoteSha: 65b0b4cb04e1351ff0ad81d90dd8f2a59c5ed0e2