{
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  "Type": "Package",
  "Package": "mlr3mbo",
  "Title": "Flexible Bayesian Optimization",
  "Version": "1.1.1",
  "Authors@R": "c(\nperson(\"Marc\", \"Becker\", , \"marcbecker@posteo.de\", role = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0002-8115-0400\")),\nperson(\"Lennart\", \"Schneider\", , \"lennart.sch@web.de\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-4152-5308\")),\nperson(\"Jakob\", \"Richter\", , \"jakob1richter@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-4481-5554\")),\nperson(\"Michel\", \"Lang\", , \"michellang@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9754-0393\")),\nperson(\"Bernd\", \"Bischl\", , \"bernd_bischl@gmx.net\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6002-6980\")),\nperson(\"Florian\", \"Pfisterer\", , \"pfistererf@googlemail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-8867-762X\")),\nperson(\"Martin\", \"Binder\", , \"mlr.developer@mb706.com\", role = \"aut\"),\nperson(\"Sebastian\", \"Fischer\", , \"sebf.fischer@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-9609-3197\")),\nperson(\"Michael H.\", \"Buselli\", role = \"cph\"),\nperson(\"Wessel\", \"Dankers\", role = \"cph\"),\nperson(\"Carlos\", \"Fonseca\", role = \"cph\"),\nperson(\"Manuel\", \"Lopez-Ibanez\", role = \"cph\"),\nperson(\"Luis\", \"Paquete\", role = \"cph\"))",
  "Description": "A modern and flexible approach to Bayesian Optimization /\nModel Based Optimization building on the 'bbotk' package.\n'mlr3mbo' is a toolbox providing both ready-to-use optimization\nalgorithms as well as their fundamental building blocks\nallowing for straightforward implementation of custom\nalgorithms. Single- and multi-objective optimization is\nsupported as well as mixed continuous, categorical and\nconditional search spaces. Moreover, using 'mlr3mbo' for\nhyperparameter optimization of machine learning models within\nthe 'mlr3' ecosystem is straightforward via 'mlr3tuning'.\nExamples of ready-to-use optimization algorithms include\nEfficient Global Optimization by Jones et al. (1998)\n<doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006)\n<doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al.\n(2008) <doi:10.1007/978-3-540-87700-4_78>.",
  "License": "LGPL-3",
  "URL": "https://mlr3mbo.mlr-org.com, https://github.com/mlr-org/mlr3mbo",
  "BugReports": "https://github.com/mlr-org/mlr3mbo/issues",
  "ByteCompile": "no",
  "Encoding": "UTF-8",
  "Config/testthat/edition": "3",
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  "Roxygen": "list(markdown = TRUE, r6 = TRUE)",
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  "Collate": "'mlr_acqfunctions.R' 'AcqFunction.R' 'AcqFunctionAEI.R'\n'AcqFunctionCB.R' 'AcqFunctionEHVI.R' 'AcqFunctionEHVIGH.R'\n'AcqFunctionEI.R' 'AcqFunctionEILog.R' 'AcqFunctionEIPS.R'\n'AcqFunctionMean.R' 'AcqFunctionMulti.R' 'AcqFunctionPI.R'\n'AcqFunctionSD.R' 'AcqFunctionSmsEgo.R'\n'AcqFunctionStochasticCB.R' 'AcqFunctionStochasticEI.R'\n'AcqOptimizer.R' 'mlr_acqoptimizers.R' 'AcqOptimizerDirect.R'\n'AcqOptimizerLbfgsb.R' 'AcqOptimizerLocalSearch.R'\n'AcqOptimzerRandomSearch.R' 'mlr_input_trafos.R' 'InputTrafo.R'\n'InputTrafoUnitcube.R' 'aaa.R' 'OptimizerADBO.R'\n'OptimizerMbo.R' 'OptimizerAsyncMbo.R' 'mlr_output_trafos.R'\n'OutputTrafo.R' 'OutputTrafoLog.R' 'OutputTrafoStandardize.R'\n'mlr_result_assigners.R' 'ResultAssigner.R'\n'ResultAssignerArchive.R' 'ResultAssignerSurrogate.R'\n'Surrogate.R' 'SurrogateLearner.R'\n'SurrogateLearnerCollection.R' 'TunerADBO.R' 'TunerAsyncMbo.R'\n'TunerMbo.R' 'mlr_loop_functions.R' 'bayesopt_ego.R'\n'bayesopt_emo.R' 'bayesopt_mpcl.R' 'bayesopt_parego.R'\n'bayesopt_smsego.R' 'bibentries.R' 'conditions.R' 'helper.R'\n'loop_function.R' 'mbo_defaults.R' 'sugar.R' 'zzz.R'",
  "Config/pak/sysreqs": "cmake",
  "Repository": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-04-24 15:38:58 UTC",
  "RemoteUrl": "https://github.com/mlr-org/mlr3mbo",
  "RemoteRef": "v1.1.1",
  "RemoteSha": "464d3ef577ead9143a1f67afc068e2d371ac0159",
  "Packaged": {
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    "User": "root"
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  "Author": "Marc Becker [cre, aut] (ORCID: <https://orcid.org/0000-0002-8115-0400>),\nLennart Schneider [aut] (ORCID:\n<https://orcid.org/0000-0003-4152-5308>),\nJakob Richter [aut] (ORCID: <https://orcid.org/0000-0003-4481-5554>),\nMichel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>),\nBernd Bischl [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>),\nFlorian Pfisterer [aut] (ORCID:\n<https://orcid.org/0000-0001-8867-762X>),\nMartin Binder [aut],\nSebastian Fischer [aut] (ORCID:\n<https://orcid.org/0000-0002-9609-3197>),\nMichael H. Buselli [cph],\nWessel Dankers [cph],\nCarlos Fonseca [cph],\nManuel Lopez-Ibanez [cph],\nLuis Paquete [cph]",
  "Maintainer": "Marc Becker <marcbecker@posteo.de>",
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    "acqfs",
    "AcqFunction",
    "AcqFunctionAEI",
    "AcqFunctionCB",
    "AcqFunctionEHVI",
    "AcqFunctionEHVIGH",
    "AcqFunctionEI",
    "AcqFunctionEILog",
    "AcqFunctionEIPS",
    "AcqFunctionMean",
    "AcqFunctionMulti",
    "AcqFunctionPI",
    "AcqFunctionSD",
    "AcqFunctionSmsEgo",
    "AcqFunctionStochasticCB",
    "AcqFunctionStochasticEI",
    "acqo",
    "AcqOptimizer",
    "AcqOptimizerDirect",
    "AcqOptimizerLbfgsb",
    "AcqOptimizerLocalSearch",
    "AcqOptimizerRandomSearch",
    "bayesopt_ego",
    "bayesopt_emo",
    "bayesopt_mpcl",
    "bayesopt_parego",
    "bayesopt_smsego",
    "default_acqfunction",
    "default_acqoptimizer",
    "default_gp",
    "default_loop_function",
    "default_result_assigner",
    "default_rf",
    "default_surrogate",
    "error_acq_optimizer",
    "error_random_interleave",
    "error_surrogate_update",
    "InputTrafo",
    "InputTrafoUnitcube",
    "it",
    "mlr_acqfunctions",
    "mlr_acqoptimizers",
    "mlr_input_trafos",
    "mlr_loop_functions",
    "mlr_output_trafos",
    "mlr_result_assigners",
    "OptimizerADBO",
    "OptimizerAsyncMbo",
    "OptimizerMbo",
    "ot",
    "OutputTrafo",
    "OutputTrafoLog",
    "OutputTrafoStandardize",
    "ras",
    "redis_available",
    "ResultAssigner",
    "ResultAssignerArchive",
    "ResultAssignerSurrogate",
    "srlrn",
    "Surrogate",
    "SurrogateLearner",
    "SurrogateLearnerCollection",
    "TunerADBO",
    "TunerAsyncMbo",
    "TunerMbo"
  ],
  "_help": [
    {
      "page": "mlr3mbo-package",
      "title": "mlr3mbo: Flexible Bayesian Optimization",
      "topics": [
        "mlr3mbo-package",
        "mlr3mbo"
      ]
    },
    {
      "page": "acqf",
      "title": "Syntactic Sugar Acquisition Function Construction",
      "topics": [
        "acqf"
      ]
    },
    {
      "page": "acqfs",
      "title": "Syntactic Sugar Acquisition Functions Construction",
      "topics": [
        "acqfs"
      ]
    },
    {
      "page": "AcqFunction",
      "title": "Acquisition Function Base Class",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunction"
      ]
    },
    {
      "page": "acqo",
      "title": "Syntactic Sugar Acquisition Function Optimizer Construction",
      "topics": [
        "acqo"
      ]
    },
    {
      "page": "AcqOptimizer",
      "title": "Acquisition Function Optimizer",
      "topics": [
        "AcqOptimizer"
      ]
    },
    {
      "page": "AcqOptimizerDirect",
      "title": "Direct Acquisition Function Optimizer",
      "topics": [
        "AcqOptimizerDirect"
      ]
    },
    {
      "page": "AcqOptimizerLbfgsb",
      "title": "L-BFGS-B Acquisition Function Optimizer",
      "topics": [
        "AcqOptimizerLbfgsb"
      ]
    },
    {
      "page": "AcqOptimizerLocalSearch",
      "title": "Local Search Acquisition Function Optimizer",
      "topics": [
        "AcqOptimizerLocalSearch"
      ]
    },
    {
      "page": "AcqOptimizerRandomSearch",
      "title": "Random Search Acquisition Function Optimizer",
      "topics": [
        "AcqOptimizerRandomSearch"
      ]
    },
    {
      "page": "default_acqfunction",
      "title": "Default Acquisition Function",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_acqfunction"
      ]
    },
    {
      "page": "default_acqoptimizer",
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