{
  "_id": "6a4955c7f6c47c441949c88c",
  "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",
  "Config/testthat/parallel": "false",
  "NeedsCompilation": "yes",
  "Roxygen": "list(markdown = TRUE, r6 = TRUE)",
  "RoxygenNote": "7.3.3",
  "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 make",
  "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": {
    "Date": "2026-06-27 13:50:54 UTC",
    "User": "root"
  },
  "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>",
  "_user": "mlr-org",
  "_type": "src",
  "_file": "mlr3mbo_1.1.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/e53b2e6c4f4f54a7b3d4b3afcfc216a2be0ad2308e8a157d82c8b003209ef0e5",
  "_filesize": 567063,
  "_sha256": "e53b2e6c4f4f54a7b3d4b3afcfc216a2be0ad2308e8a157d82c8b003209ef0e5",
  "_expires": "2026-10-12T18:49:42.000Z",
  "_created": "2026-06-27T13:50:54.000Z",
  "_published": "2026-07-04T18:49:43.894Z",
  "_jobs": [
    {
      "job": 85157886632,
      "time": 323,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7925069347"
    },
    {
      "job": 85157886478,
      "time": 370,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7925074560"
    },
    {
      "job": 85157886487,
      "time": 305,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "7925067300"
    },
    {
      "job": 85157886522,
      "time": 320,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "7925068619"
    },
    {
      "job": 85157886677,
      "time": 284,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7925064218"
    },
    {
      "job": 85157886672,
      "time": 468,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7925086458"
    },
    {
      "job": 85157886535,
      "time": 225,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "7925057523"
    },
    {
      "job": 85157886619,
      "time": 531,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "7925093914"
    },
    {
      "job": 85157886232,
      "time": 222,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "7925031784"
    },
    {
      "job": 85157886458,
      "time": 154,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7925048940"
    },
    {
      "job": 85157886574,
      "time": 354,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7925072763"
    },
    {
      "job": 85157886568,
      "time": 382,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7925076112"
    },
    {
      "job": 85157886604,
      "time": 355,
      "config": "windows-release",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "7925072884"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264",
  "_status": "success",
  "_upstream": "https://github.com/mlr-org/mlr3mbo",
  "_commit": {
    "id": "464d3ef577ead9143a1f67afc068e2d371ac0159",
    "author": "be-marc <marcbecker@posteo.de>",
    "committer": "be-marc <marcbecker@posteo.de>",
    "message": "release: 1.1.1\n",
    "time": 1777045138
  },
  "_maintainer": {
    "name": "Marc Becker",
    "email": "marcbecker@posteo.de",
    "login": "be-marc",
    "description": "",
    "uuid": 33069354,
    "orcid": "0000-0002-8115-0400"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "mlr3",
      "version": ">= 1.2.0",
      "role": "Depends"
    },
    {
      "package": "mlr3tuning",
      "version": ">= 1.4.0",
      "role": "Depends"
    },
    {
      "package": "R",
      "version": ">= 3.1.0",
      "role": "Depends"
    },
    {
      "package": "bbotk",
      "version": ">= 1.8.0",
      "role": "Imports"
    },
    {
      "package": "checkmate",
      "version": ">= 2.0.0",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "lgr",
      "version": ">= 0.3.4",
      "role": "Imports"
    },
    {
      "package": "mlr3misc",
      "version": ">= 0.21.0",
      "role": "Imports"
    },
    {
      "package": "paradox",
      "version": ">= 1.0.1",
      "role": "Imports"
    },
    {
      "package": "spacefillr",
      "role": "Imports"
    },
    {
      "package": "R6",
      "version": ">= 2.4.1",
      "role": "Imports"
    },
    {
      "package": "DiceKriging",
      "role": "Suggests"
    },
    {
      "package": "emoa",
      "role": "Suggests"
    },
    {
      "package": "fastGHQuad",
      "role": "Suggests"
    },
    {
      "package": "lhs",
      "role": "Suggests"
    },
    {
      "package": "mlr3learners",
      "version": ">= 0.12.0",
      "role": "Suggests"
    },
    {
      "package": "mirai",
      "role": "Suggests"
    },
    {
      "package": "mlr3pipelines",
      "version": ">= 0.5.2",
      "role": "Suggests"
    },
    {
      "package": "nloptr",
      "role": "Suggests"
    },
    {
      "package": "processx",
      "role": "Suggests"
    },
    {
      "package": "ranger",
      "role": "Suggests"
    },
    {
      "package": "rgenoud",
      "role": "Suggests"
    },
    {
      "package": "rpart",
      "role": "Suggests"
    },
    {
      "package": "redux",
      "role": "Suggests"
    },
    {
      "package": "rush",
      "version": ">= 1.0.0",
      "role": "Suggests"
    },
    {
      "package": "stringi",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "mlr-org",
  "_selfowned": true,
  "_usedby": 5,
  "_updates": [
    {
      "week": "2025-28",
      "n": 1
    },
    {
      "week": "2025-30",
      "n": 1
    },
    {
      "week": "2025-34",
      "n": 3
    },
    {
      "week": "2025-40",
      "n": 3
    },
    {
      "week": "2025-41",
      "n": 3
    },
    {
      "week": "2025-48",
      "n": 1
    },
    {
      "week": "2025-50",
      "n": 2
    },
    {
      "week": "2026-09",
      "n": 5
    },
    {
      "week": "2026-10",
      "n": 3
    },
    {
      "week": "2026-11",
      "n": 2
    },
    {
      "week": "2026-12",
      "n": 14
    },
    {
      "week": "2026-15",
      "n": 2
    },
    {
      "week": "2026-16",
      "n": 2
    },
    {
      "week": "2026-17",
      "n": 5
    }
  ],
  "_tags": [
    {
      "name": "v0.3.1",
      "date": "2025-08-18"
    },
    {
      "name": "v0.3.2",
      "date": "2025-10-01"
    },
    {
      "name": "v0.3.3",
      "date": "2025-10-10"
    },
    {
      "name": "v1.0.0",
      "date": "2026-02-27"
    },
    {
      "name": "v1.1.0",
      "date": "2026-03-18"
    },
    {
      "name": "v1.1.1",
      "date": "2026-04-24"
    }
  ],
  "_topics": [
    "automl",
    "bayesian-optimization",
    "bbotk",
    "black-box-optimization",
    "gaussian-process",
    "hpo",
    "hyperparameter",
    "hyperparameter-optimization",
    "hyperparameter-tuning",
    "machine-learning",
    "mlr3",
    "model-based-optimization",
    "optimization",
    "optimizer",
    "random-forest",
    "tuning"
  ],
  "_stars": 26,
  "_contributors": [
    {
      "user": "sumny",
      "count": 222,
      "uuid": 17437765
    },
    {
      "user": "be-marc",
      "count": 169,
      "uuid": 33069354
    },
    {
      "user": "jakob-r",
      "count": 53,
      "uuid": 1888623
    },
    {
      "user": "pat-s",
      "count": 39,
      "uuid": 8430564
    },
    {
      "user": "mllg",
      "count": 23,
      "uuid": 1260920
    },
    {
      "user": "berndbischl",
      "count": 9,
      "uuid": 1225974
    },
    {
      "user": "sebffischer",
      "count": 2,
      "uuid": 20975557
    },
    {
      "user": "mb706",
      "count": 2,
      "uuid": 15801081
    },
    {
      "user": "pfistfl",
      "count": 1,
      "uuid": 7313671
    }
  ],
  "_userbio": {
    "uuid": 12941794,
    "type": "organization",
    "name": "mlr-org",
    "followers": 233
  },
  "_downloads": {
    "count": 6090,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mlr3mbo"
  },
  "_devurl": "https://github.com/mlr-org/mlr3mbo",
  "_pkgdown": "https://mlr3mbo.mlr-org.com",
  "_searchresults": 196,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mlr3mbo.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/mlr-org/mlr3mbo",
  "_realowner": "mlr-org",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.1",
      "date": "2022-11-18"
    },
    {
      "version": "0.1.2",
      "date": "2023-03-03"
    },
    {
      "version": "0.2.1",
      "date": "2023-06-05"
    },
    {
      "version": "0.2.2",
      "date": "2024-03-01"
    },
    {
      "version": "0.2.3",
      "date": "2024-07-01"
    },
    {
      "version": "0.2.4",
      "date": "2024-07-06"
    },
    {
      "version": "0.2.5",
      "date": "2024-09-24"
    },
    {
      "version": "0.2.6",
      "date": "2024-10-16"
    },
    {
      "version": "0.2.7",
      "date": "2024-11-15"
    },
    {
      "version": "0.2.8",
      "date": "2024-11-21"
    },
    {
      "version": "0.2.9",
      "date": "2025-03-04"
    },
    {
      "version": "0.3.0",
      "date": "2025-06-03"
    },
    {
      "version": "0.3.1",
      "date": "2025-08-19"
    },
    {
      "version": "0.3.2",
      "date": "2025-10-03"
    },
    {
      "version": "0.3.3",
      "date": "2025-10-10"
    },
    {
      "version": "1.0.0",
      "date": "2026-02-27"
    },
    {
      "version": "1.1.0",
      "date": "2026-03-18"
    },
    {
      "version": "1.1.1",
      "date": "2026-04-24"
    }
  ],
  "_exports": [
    "acqf",
    "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",
      "title": "Default Acquisition Function Optimizer",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_acqoptimizer"
      ]
    },
    {
      "page": "default_gp",
      "title": "Default Gaussian Process",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_gp"
      ]
    },
    {
      "page": "default_loop_function",
      "title": "Default Loop Function",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_loop_function"
      ]
    },
    {
      "page": "default_result_assigner",
      "title": "Default Result Assigner",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_result_assigner"
      ]
    },
    {
      "page": "default_rf",
      "title": "Default Random Forest",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_rf"
      ]
    },
    {
      "page": "default_surrogate",
      "title": "Default Surrogate",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "default_surrogate"
      ]
    },
    {
      "page": "InputTrafo",
      "title": "Input Transformation Base Class",
      "concept": [
        "Input Transformation"
      ],
      "topics": [
        "InputTrafo"
      ]
    },
    {
      "page": "InputTrafoUnitcube",
      "title": "Input Transformation Unitcube",
      "concept": [
        "Input Transformation"
      ],
      "topics": [
        "InputTrafoUnitcube"
      ]
    },
    {
      "page": "it",
      "title": "Syntactic Sugar Input Trafo Construction",
      "topics": [
        "it"
      ]
    },
    {
      "page": "loop_function",
      "title": "Loop Functions for Bayesian Optimization",
      "concept": [
        "Loop Function"
      ],
      "topics": [
        "loop_function"
      ]
    },
    {
      "page": "mbo_defaults",
      "title": "Defaults for OptimizerMbo",
      "concept": [
        "mbo_defaults"
      ],
      "topics": [
        "mbo_defaults"
      ]
    },
    {
      "page": "mlr_acqfunctions",
      "title": "Dictionary of Acquisition Functions",
      "concept": [
        "Acquisition Function",
        "Dictionary"
      ],
      "topics": [
        "mlr_acqfunctions"
      ]
    },
    {
      "page": "mlr_acqfunctions_aei",
      "title": "Acquisition Function Augmented Expected Improvement",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionAEI",
        "mlr_acqfunctions_aei"
      ]
    },
    {
      "page": "mlr_acqfunctions_cb",
      "title": "Acquisition Function Confidence Bound",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionCB",
        "mlr_acqfunctions_cb"
      ]
    },
    {
      "page": "mlr_acqfunctions_ehvi",
      "title": "Acquisition Function Expected Hypervolume Improvement",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionEHVI",
        "mlr_acqfunctions_ehvi"
      ]
    },
    {
      "page": "mlr_acqfunctions_ehvigh",
      "title": "Acquisition Function Expected Hypervolume Improvement via Gauss-Hermite Quadrature",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionEHVIGH",
        "mlr_acqfunctions_ehvigh"
      ]
    },
    {
      "page": "mlr_acqfunctions_ei",
      "title": "Acquisition Function Expected Improvement",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionEI",
        "mlr_acqfunctions_ei"
      ]
    },
    {
      "page": "mlr_acqfunctions_ei_log",
      "title": "Acquisition Function Expected Improvement on Log Scale",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionEILog",
        "mlr_acqfunctions_ei_log"
      ]
    },
    {
      "page": "mlr_acqfunctions_eips",
      "title": "Acquisition Function Expected Improvement Per Second",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionEIPS",
        "mlr_acqfunctions_eips"
      ]
    },
    {
      "page": "mlr_acqfunctions_mean",
      "title": "Acquisition Function Mean",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionMean",
        "mlr_acqfunctions_mean"
      ]
    },
    {
      "page": "mlr_acqfunctions_multi",
      "title": "Acquisition Function Wrapping Multiple Acquisition Functions",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionMulti",
        "mlr_acqfunctions_multi"
      ]
    },
    {
      "page": "mlr_acqfunctions_pi",
      "title": "Acquisition Function Probability of Improvement",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionPI",
        "mlr_acqfunctions_pi"
      ]
    },
    {
      "page": "mlr_acqfunctions_sd",
      "title": "Acquisition Function Standard Deviation",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionSD",
        "mlr_acqfunctions_sd"
      ]
    },
    {
      "page": "mlr_acqfunctions_smsego",
      "title": "Acquisition Function SMS-EGO",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionSmsEgo",
        "mlr_acqfunctions_smsego"
      ]
    },
    {
      "page": "mlr_acqfunctions_stochastic_cb",
      "title": "Acquisition Function Stochastic Confidence Bound",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionStochasticCB",
        "mlr_acqfunctions_stochastic_cb"
      ]
    },
    {
      "page": "mlr_acqfunctions_stochastic_ei",
      "title": "Acquisition Function Stochastic Expected Improvement",
      "concept": [
        "Acquisition Function"
      ],
      "topics": [
        "AcqFunctionStochasticEI",
        "mlr_acqfunctions_stochastic_ei"
      ]
    },
    {
      "page": "mlr_acqoptimizers",
      "title": "Dictionary of Acquisition Function Optimizers",
      "concept": [
        "Acquisition Function Optimizer",
        "Dictionary"
      ],
      "topics": [
        "mlr_acqoptimizers"
      ]
    },
    {
      "page": "mlr_input_trafos",
      "title": "Dictionary of Input Transformations",
      "concept": [
        "Dictionary",
        "Input Transformation"
      ],
      "topics": [
        "mlr_input_trafos"
      ]
    },
    {
      "page": "mlr_loop_functions",
      "title": "Dictionary of Loop Functions",
      "concept": [
        "Dictionary",
        "Loop Function"
      ],
      "topics": [
        "mlr_loop_functions"
      ]
    },
    {
      "page": "mlr_loop_functions_ego",
      "title": "Sequential Single-Objective Bayesian Optimization",
      "concept": [
        "Loop Function"
      ],
      "topics": [
        "bayesopt_ego",
        "mlr_loop_functions_ego"
      ]
    },
    {
      "page": "mlr_loop_functions_emo",
      "title": "Sequential Multi-Objective Bayesian Optimization",
      "concept": [
        "Loop Function"
      ],
      "topics": [
        "bayesopt_emo",
        "mlr_loop_functions_emo"
      ]
    },
    {
      "page": "mlr_loop_functions_mpcl",
      "title": "Single-Objective Bayesian Optimization via Multipoint Constant Liar",
      "concept": [
        "Loop Function"
      ],
      "topics": [
        "bayesopt_mpcl",
        "mlr_loop_functions_mpcl"
      ]
    },
    {
      "page": "mlr_loop_functions_parego",
      "title": "Multi-Objective Bayesian Optimization via ParEGO",
      "concept": [
        "Loop Function"
      ],
      "topics": [
        "bayesopt_parego",
        "mlr_loop_functions_parego"
      ]
    },
    {
      "page": "mlr_loop_functions_smsego",
      "title": "Sequential Multi-Objective Bayesian Optimization via SMS-EGO",
      "concept": [
        "Loop Function"
      ],
      "topics": [
        "bayesopt_smsego",
        "mlr_loop_functions_smsego"
      ]
    },
    {
      "page": "mlr_optimizers_adbo",
      "title": "Asynchronous Decentralized Bayesian Optimization",
      "topics": [
        "mlr_optimizers_adbo",
        "OptimizerADBO"
      ]
    },
    {
      "page": "mlr_optimizers_async_mbo",
      "title": "Asynchronous Model Based Optimization",
      "topics": [
        "mlr_optimizers_async_mbo",
        "OptimizerAsyncMbo"
      ]
    },
    {
      "page": "mlr_optimizers_mbo",
      "title": "Model Based Optimization",
      "topics": [
        "mlr_optimizers_mbo",
        "OptimizerMbo"
      ]
    },
    {
      "page": "mlr_output_trafos",
      "title": "Dictionary of Output Transformations",
      "concept": [
        "Dictionary",
        "Output Transformation"
      ],
      "topics": [
        "mlr_output_trafos"
      ]
    },
    {
      "page": "mlr_result_assigners",
      "title": "Dictionary of Result Assigners",
      "concept": [
        "Dictionary",
        "Result Assigner"
      ],
      "topics": [
        "mlr_result_assigners"
      ]
    },
    {
      "page": "mlr_result_assigners_archive",
      "title": "Result Assigner Based on the Archive",
      "concept": [
        "Result Assigner"
      ],
      "topics": [
        "mlr_result_assigners_archive",
        "ResultAssignerArchive"
      ]
    },
    {
      "page": "mlr_result_assigners_surrogate",
      "title": "Result Assigner Based on a Surrogate Mean Prediction",
      "concept": [
        "Result Assigner"
      ],
      "topics": [
        "mlr_result_assigners_surrogate",
        "ResultAssignerSurrogate"
      ]
    },
    {
      "page": "mlr_tuners_adbo",
      "title": "TunerAsync using Asynchronous Decentralized Bayesian Optimization",
      "topics": [
        "mlr_tuners_adbo",
        "TunerADBO"
      ]
    },
    {
      "page": "mlr_tuners_async_mbo",
      "title": "TunerAsync using Asynchronous Model Based Optimization",
      "topics": [
        "mlr_tuners_async_mbo",
        "TunerAsyncMbo"
      ]
    },
    {
      "page": "mlr_tuners_mbo",
      "title": "TunerBatch using Model Based Optimization",
      "topics": [
        "mlr_tuners_mbo",
        "TunerMbo"
      ]
    },
    {
      "page": "mlr3mbo_conditions",
      "title": "Condition Classes for mlr3mbo",
      "topics": [
        "error_acq_optimizer",
        "error_random_interleave",
        "error_surrogate_update",
        "mlr3mbo_conditions"
      ]
    },
    {
      "page": "ot",
      "title": "Syntactic Sugar Output Trafo Construction",
      "topics": [
        "ot"
      ]
    },
    {
      "page": "OutputTrafo",
      "title": "Output Transformation Base Class",
      "concept": [
        "Output Transformation"
      ],
      "topics": [
        "OutputTrafo"
      ]
    },
    {
      "page": "OutputTrafoLog",
      "title": "Output Transformation Log",
      "concept": [
        "Output Transformation"
      ],
      "topics": [
        "OutputTrafoLog"
      ]
    },
    {
      "page": "OutputTrafoStandardize",
      "title": "Output Transformation Standardization",
      "concept": [
        "Output Transformation"
      ],
      "topics": [
        "OutputTrafoStandardize"
      ]
    },
    {
      "page": "ras",
      "title": "Syntactic Sugar Result Assigner Construction",
      "topics": [
        "ras"
      ]
    },
    {
      "page": "redis_available",
      "title": "Check if Redis Server is Available",
      "topics": [
        "redis_available"
      ]
    },
    {
      "page": "ResultAssigner",
      "title": "Result Assigner Base Class",
      "concept": [
        "Result Assigner"
      ],
      "topics": [
        "ResultAssigner"
      ]
    },
    {
      "page": "srlrn",
      "title": "Syntactic Sugar Surrogate Construction",
      "topics": [
        "srlrn"
      ]
    },
    {
      "page": "Surrogate",
      "title": "Surrogate Model",
      "topics": [
        "Surrogate"
      ]
    },
    {
      "page": "SurrogateLearner",
      "title": "Surrogate Model Containing a Single Learner",
      "topics": [
        "SurrogateLearner"
      ]
    },
    {
      "page": "SurrogateLearnerCollection",
      "title": "Surrogate Model Containing Multiple Learners",
      "topics": [
        "SurrogateLearnerCollection"
      ]
    }
  ],
  "_readme": "https://github.com/mlr-org/mlr3mbo/raw/v1.1.1/README.md",
  "_rundeps": [
    "backports",
    "bbotk",
    "checkmate",
    "cli",
    "codetools",
    "data.table",
    "digest",
    "evaluate",
    "future",
    "future.apply",
    "globals",
    "lgr",
    "listenv",
    "matrixStats",
    "mirai",
    "mlbench",
    "mlr3",
    "mlr3measures",
    "mlr3misc",
    "mlr3tuning",
    "moocore",
    "nanonext",
    "palmerpenguins",
    "paradox",
    "parallelly",
    "PRROC",
    "R6",
    "rbibutils",
    "Rcpp",
    "Rdpack",
    "rlang",
    "spacefillr",
    "uuid"
  ],
  "_score": 9.416125998022052,
  "_indexed": true,
  "_nocasepkg": "mlr3mbo",
  "_universes": [
    "mlr-org",
    "be-marc"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.1",
      "date": "2026-06-27T13:53:38.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/8795a58569676da68965428a9954c1bcaa137bf07c8e28632da194e46757364e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.1.1",
      "date": "2026-06-27T13:53:36.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/a3e6e0784aaffcca8e3b2cb99a00186266f23e720c8f45ec1b205c2c0d9bd319",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.1.1",
      "date": "2026-06-27T13:53:34.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/f76292b29da0a082ebdffe9b718f4daa8726b176cce25a5b83be4fc1891a0ab6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "1.1.1",
      "date": "2026-06-27T13:53:52.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/aac477350bc02fab232687d3f6bf526cfc01aef12d250a3f61bd4c4fee656f22",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.1",
      "date": "2026-06-27T13:52:44.000Z",
      "arch": "aarch64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/312274e3d5e3ce1327c7248ca226dc6a59155fa97495690b7b0db510fab25a38",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.1.1",
      "date": "2026-06-27T13:53:38.000Z",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/9c341fccb1f29c3e200f834bf0748fea6cc47c80ebd41f955fa7221ec1c96004",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.1.1",
      "date": "2026-06-27T13:52:28.000Z",
      "arch": "aarch64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/c62aa875e84a8dfbc6239114383ea5e47b648d66d4c11c0356ff2f101c73aedb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "1.1.1",
      "date": "2026-06-27T13:54:30.000Z",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/c9eb63089b101224310d1f15ccb82deb12bc4a81b4b033135b0e949a1c4d8712",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.1.1",
      "date": "2026-06-27T13:53:53.000Z",
      "arch": "emscripten",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/74ebedb3c6e37e6386f43650635f99b774b81e002602d81abf0d55607ffebafc",
      "status": "success",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.1.1",
      "date": "2026-06-27T13:52:28.000Z",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/ee7d78c02f4aa87db3841bb46ac998792269dc420f81999da56d3990828b7120",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.1.1",
      "date": "2026-06-27T13:52:30.000Z",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/328005334cd6de0f2acf19ea39cdf7a9fabc582949cddb7680f520ae658346e0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "1.1.1",
      "date": "2026-06-27T13:52:24.000Z",
      "arch": "x86_64",
      "commit": "464d3ef577ead9143a1f67afc068e2d371ac0159",
      "fileid": "https://r2.ropensci.org/4fd6323865c48b1daaaf7ea1dd19d8c1186a9244be0504e3ea61a1878ace0f4a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/mlr-org/actions/runs/28291067264"
    }
  ]
}