ASML: Algorithm Portfolio Selection with Machine Learning
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: | 1.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | caret, ggplot2, DALEX, dplyr, purrr, tibble, tidyr, reshape2, Polychrome, scales, rlang |
| Suggests: | snow |
| Published: | 2026-11-09 |
| DOI: | 10.32614/CRAN.package.ASML |
| Author: | Brais González-Rodríguez
 [aut, cre],
Ignacio Gómez-Casares
[aut],
Beatriz Pateiro-López
[aut],
Julio González-Díaz
[aut],
María Caseiro-Arias [ctb],
Antonio Fariña-Elorza [ctb],
Manuel Timiraos-López [ctb],
MICIU/AEI/10.13039/501100011033 [fnd] (Project PID2024-158017NB-I00
funded by MICIU/AEI/10.13039/501100011033 and by FEDER, UE,
Projects PID2025-170122NB-C31 and PID2025-170122NB-C33 funded by
MICIU/AEI/10.13039/501100011033 and by ERDF/EU, Project
PID2021-124030NB-C32 funded by MICIU/AEI/10.13039/501100011033 and
by ERDF/EU) |
| Maintainer: | Brais González-Rodríguez <brais.gonzalez.rodriguez at uvigo.gal> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | ASML results |
Documentation:
| Reference manual: | ASML.html , ASML.pdf |
Downloads:
| Package source: | ASML_1.1.1.tar.gz |
| Windows binaries: | r-devel: ASML_1.1.0.zip, r-release: ASML_1.1.0.zip, r-oldrel: ASML_1.1.0.zip |
| macOS binaries: | r-release (arm64): ASML_1.1.1.tgz, r-oldrel (arm64): ASML_1.1.1.tgz, r-release (x86_64): ASML_1.1.0.tgz, r-oldrel (x86_64): ASML_1.1.0.tgz |
| Old sources: | ASML archive |
Linking:
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