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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ASML" in publications use:'
type: software
license: GPL-3.0-only
title: 'ASML: Algorithm Portfolio Selection with Machine Learning'
version: 1.0.0
doi: 10.32614/CRAN.package.ASML
abstract: 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) <https://doi.org/10.1287/ijoc.2022.0090>).
authors:
- family-names: González-Rodríguez
  given-names: Brais
  email: brais.gonzalez.rodriguez@uvigo.gal
  orcid: https://orcid.org/0000-0001-5276-2320
- family-names: Gómez-Casares
  given-names: Ignacio
  orcid: https://orcid.org/0000-0003-0420-7319
- family-names: Pateiro-López
  given-names: Beatriz
  orcid: https://orcid.org/0000-0002-7714-1835
- family-names: González-Díaz
  given-names: Julio
  orcid: https://orcid.org/0000-0002-4667-4348
repository: https://brais-gonzalez.r-universe.dev
commit: 443982853fa36ec87cfa7bffe3950d3bef30c7ba
date-released: '2025-02-19'
contact:
- family-names: González-Rodríguez
  given-names: Brais
  email: brais.gonzalez.rodriguez@uvigo.gal
  orcid: https://orcid.org/0000-0001-5276-2320