{
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  "Package": "mlr3automl",
  "Title": "Automated Machine Learning for 'mlr3'",
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  "Authors@R": "c(\nperson(\"Marc\", \"Becker\", , \"marcbecker@posteo.de\", role = c(\"cre\", \"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-8115-0400\")),\nperson(\"Damir\", \"Pulatov\", , \"damirpolat@protonmail.com\", role = \"aut\"),\nperson(\"Baisu\", \"Zhou\", , \"baisu.zhou@outlook.com\", role = \"aut\"),\nperson(\"Lona\", \"Koers\", , \"lona.koers@gmail.com\", role = \"aut\")\n)",
  "Description": "Flexible automated machine learning (AutoML) system for\nthe 'mlr3' ecosystem. Automatically selects a suitable machine\nlearning algorithm and tunes its hyperparameters for a given\ntask. Constructs preprocessing pipelines with multiple parallel\nbranches using 'mlr3pipelines' and jointly optimizes them\ntogether with the learners using 'mlr3tuning'. The optimization\nis driven by asynchronous decentralized Bayesian optimization\nby Egele et al. (2023)\n<doi:10.1109/e-Science58273.2023.10254839>.",
  "License": "LGPL-3",
  "URL": "https://mlr3automl.mlr-org.com,\nhttps://github.com/mlr-org/mlr3automl",
  "BugReports": "https://github.com/mlr-org/mlr3automl/issues",
  "Remotes": [
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  "Config/pak/sysreqs": "make libhiredis-dev libssl-dev",
  "Repository": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-09-23 13:08:26 UTC",
  "RemoteUrl": "https://github.com/mlr-org/mlr3automl",
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