{ "_id": "6a169779acfb0bcc41d7c603", "Package": "ASML", "Type": "Package", "Title": "Algorithm Portfolio Selection with Machine Learning", "Version": "1.1.0", "Authors@R": "c(\nperson(given = \"Brais\", family = \"González-Rodríguez\", email = \"brais.gonzalez.rodriguez@uvigo.gal\", role = c(\"aut\",\"cre\"), comment = c(ORCID = \"0000-0001-5276-2320\")),\nperson(given = \"Ignacio\", family = \"Gómez-Casares\", role = c(\"aut\"), comment = c(ORCID = \"0000-0003-0420-7319\")),\nperson(given = \"Beatriz\", family = \"Pateiro-López\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-7714-1835\")),\nperson(given = \"Julio\", family = \"González-Díaz\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-4667-4348\")),\nperson(given = \"María\", family = \"Caseiro-Arias\", role = c(\"ctb\")),\nperson(given = \"Antonio\", family = \"Fariña-Elorza\", role = c(\"ctb\")),\nperson(given = \"Manuel\", family = \"Timiraos-López\", role = c(\"ctb\")))", "Description": "A wrapper for machine learning (ML) methods to select\namong a portfolio of algorithms based on the value of a key\nperformance indicator (KPI). A number of features is used to\nadjust a model to predict the value of the KPI for each\nalgorithm, then, for a new value of the features the KPI is\nestimated and the algorithm with the best one is chosen. To\nlearn it can use the regression methods in 'caret' package or a\ncustom function defined by the user. Several graphics available\nto analyze the results obtained. This library has been used in\nGhaddar et al. (2023) ).", "License": "GPL-3", "Language": "en-US", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 07:00:12 UTC", "User": "root" }, "Author": "Brais González-Rodríguez [aut, cre] (ORCID:\n), Ignacio Gómez-Casares\n[aut] (ORCID: ), Beatriz\nPateiro-López [aut] (ORCID:\n), Julio González-Díaz\n[aut] (ORCID: ), María\nCaseiro-Arias [ctb], Antonio Fariña-Elorza [ctb], Manuel\nTimiraos-López [ctb]", "Maintainer": "Brais González-Rodríguez\n", "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", "MD5sum": "26e0749899c1c474d3b55d398c8f2770", "_user": "brais-gonzalez", "_type": "src", "_file": "ASML_1.1.0.tar.gz", "_fileid": "8843cf19bc987e43b3f3021820e992c13050c9efe4ebcbca288d7f7e414bb386", "_filesize": 659530, 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