{
  "_id": "6a2c4ad53efcd9bda42daf49",
  "Package": "mlr3fselect",
  "Title": "Feature Selection for 'mlr3'",
  "Version": "1.6.0",
  "Authors@R": "c(\nperson(\"Marc\", \"Becker\", , \"marcbecker@posteo.de\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-8115-0400\")),\nperson(\"Patrick\", \"Schratz\", , \"patrick.schratz@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0748-6624\")),\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(\"John\", \"Zobolas\", , \"bblodfon@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3609-8674\"))\n)",
  "Description": "Feature selection package of the 'mlr3' ecosystem. It\nselects the optimal feature set for any 'mlr3' learner. The\npackage works with several optimization algorithms e.g. Random\nSearch, Recursive Feature Elimination, and Genetic Search.\nMoreover, it can automatically optimize learners and estimate\nthe performance of optimized feature sets with nested\nresampling.",
  "License": "LGPL-3",
  "URL": "https://mlr3fselect.mlr-org.com,\nhttps://github.com/mlr-org/mlr3fselect",
  "BugReports": "https://github.com/mlr-org/mlr3fselect/issues",
  "Config/testthat/edition": "3",
  "Config/testthat/parallel": "false",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "NeedsCompilation": "no",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Collate": "'ArchiveAsyncFSelect.R' 'ArchiveAsyncFSelectFrozen.R'\n'ArchiveBatchFSelect.R' 'AutoFSelector.R'\n'CallbackAsyncFSelect.R' 'CallbackBatchFSelect.R'\n'ContextAsyncFSelect.R' 'ContextBatchFSelect.R'\n'EnsembleFSResult.R' 'FSelectInstanceAsyncSingleCrit.R'\n'FSelectInstanceAsyncMultiCrit.R'\n'FSelectInstanceBatchSingleCrit.R'\n'FSelectInstanceBatchMultiCrit.R' 'mlr_fselectors.R'\n'FSelector.R' 'FSelectorAsync.R' 'FSelectorAsyncDesignPoints.R'\n'FSelectorAsyncExhaustiveSearch.R'\n'FSelectorAsyncFromOptimizerAsync.R'\n'FSelectorAsyncRandomSearch.R' 'FSelectorBatch.R'\n'FSelectorBatchDesignPoints.R'\n'FSelectorBatchExhaustiveSearch.R'\n'FSelectorBatchFromOptimizerBatch.R'\n'FSelectorBatchGeneticSearch.R' 'FSelectorBatchRFE.R'\n'FSelectorBatchRFECV.R' 'FSelectorBatchRandomSearch.R'\n'FSelectorBatchSequential.R'\n'FSelectorBatchShadowVariableSearch.R' 'ObjectiveFSelect.R'\n'ObjectiveFSelectAsync.R' 'ObjectiveFSelectBatch.R'\n'assertions.R' 'auto_fselector.R' 'bibentries.R'\n'embedded_ensemble_fselect.R' 'ensemble_fselect.R'\n'extract_inner_fselect_archives.R'\n'extract_inner_fselect_results.R' 'faggregate.R' 'fselect.R'\n'fselect_nested.R' 'helper.R' 'mlr_callbacks.R' 'reexports.R'\n'sugar.R' 'zzz.R'",
  "Config/pak/sysreqs": "cmake make",
  "Repository": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-05-21 16:32:24 UTC",
  "RemoteUrl": "https://github.com/mlr-org/mlr3fselect",
  "RemoteRef": "v1.6.0",
  "RemoteSha": "fd1ef30c8abf10320d4e9f522398e7b7efb98e6b",
  "Packaged": {
    "Date": "2026-06-12 18:00:08 UTC",
    "User": "root"
  },
  "Author": "Marc Becker [aut, cre] (ORCID: <https://orcid.org/0000-0002-8115-0400>),\nPatrick Schratz [aut] (ORCID: <https://orcid.org/0000-0003-0748-6624>),\nMichel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>),\nBernd Bischl [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>),\nJohn Zobolas [aut] (ORCID: <https://orcid.org/0000-0002-3609-8674>)",
  "Maintainer": "Marc Becker <marcbecker@posteo.de>",
  "MD5sum": "52e6c3fde56ca70b1f02f404903dd528",
  "_user": "mlr-org",
  "_type": "src",
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  "_created": "2026-06-12T18:00:08.000Z",
  "_published": "2026-06-12T18:07:17.779Z",
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    },
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  "_exports": [
    "ArchiveAsyncFSelect",
    "ArchiveAsyncFSelectFrozen",
    "ArchiveBatchFSelect",
    "assert_async_fselect_callback",
    "assert_async_fselect_callbacks",
    "assert_fselect_instance",
    "assert_fselect_instance_async",
    "assert_fselect_instance_batch",
    "assert_fselector_async",
    "assert_fselector_batch",
    "assert_fselectors",
    "auto_fselector",
    "AutoFSelector",
    "callback_async_fselect",
    "callback_batch_fselect",
    "CallbackAsyncFSelect",
    "clbk",
    "clbks",
    "ContextAsyncFSelect",
    "ContextBatchFSelect",
    "embedded_ensemble_fselect",
    "ensemble_fselect",
    "EnsembleFSResult",
    "extract_inner_fselect_archives",
    "extract_inner_fselect_results",
    "faggregate",
    "fs",
    "fselect",
    "fselect_nested",
    "FSelectInstanceAsyncMultiCrit",
    "FSelectInstanceAsyncSingleCrit",
    "FSelectInstanceBatchMultiCrit",
    "FSelectInstanceBatchSingleCrit",
    "FSelector",
    "FSelectorAsync",
    "FSelectorAsyncDesignPoints",
    "FSelectorAsyncExhaustiveSearch",
    "FSelectorAsyncFromOptimizerAsync",
    "FSelectorAsyncRandomSearch",
    "FSelectorBatch",
    "FSelectorBatchDesignPoints",
    "FSelectorBatchExhaustiveSearch",
    "FSelectorBatchFromOptimizerBatch",
    "FSelectorBatchGeneticSearch",
    "FSelectorBatchRandomSearch",
    "FSelectorBatchRFE",
    "FSelectorBatchRFECV",
    "FSelectorBatchSequential",
    "FSelectorBatchShadowVariableSearch",
    "fsi",
    "fsi_async",
    "fss",
    "mlr_callbacks",
    "mlr_fselectors",
    "mlr_terminators",
    "ObjectiveFSelect",
    "ObjectiveFSelectAsync",
    "ObjectiveFSelectBatch",
    "trm",
    "trms"
  ],
  "_help": [
    {
      "page": "mlr3fselect-package",
      "title": "mlr3fselect: Feature Selection for 'mlr3'",
      "topics": [
        "mlr3fselect-package",
        "mlr3fselect"
      ]
    },
    {
      "page": "ArchiveAsyncFSelect",
      "title": "Rush Data Storage",
      "topics": [
        "ArchiveAsyncFSelect"
      ]
    },
    {
      "page": "ArchiveAsyncFSelectFrozen",
      "title": "Frozen Rush Data Storage",
      "topics": [
        "ArchiveAsyncFSelectFrozen"
      ]
    },
    {
      "page": "ArchiveBatchFSelect",
      "title": "Class for Logging Evaluated Feature Sets",
      "topics": [
        "ArchiveBatchFSelect"
      ]
    },
    {
      "page": "assert_async_fselect_callback",
      "title": "Assertions for Callbacks",
      "topics": [
        "assert_async_fselect_callback",
        "assert_async_fselect_callbacks"
      ]
    },
    {
      "page": "auto_fselector",
      "title": "Function for Automatic Feature Selection",
      "topics": [
        "auto_fselector"
      ]
    },
    {
      "page": "AutoFSelector",
      "title": "Class for Automatic Feature Selection",
      "topics": [
        "AutoFSelector"
      ]
    },
    {
      "page": "callback_async_fselect",
      "title": "Create Asynchronous Feature Selection Callback",
      "topics": [
        "callback_async_fselect"
      ]
    },
    {
      "page": "callback_batch_fselect",
      "title": "Create Feature Selection Callback",
      "topics": [
        "callback_batch_fselect"
      ]
    },
    {
      "page": "CallbackAsyncFSelect",
      "title": "Asynchronous Feature Selection Callback",
      "topics": [
        "CallbackAsyncFSelect"
      ]
    },
    {
      "page": "CallbackBatchFSelect",
      "title": "Create Feature Selection Callback",
      "topics": [
        "CallbackBatchFSelect"
      ]
    },
    {
      "page": "ContextAsyncFSelect",
      "title": "Asynchronous Feature Selection Context",
      "topics": [
        "ContextAsyncFSelect"
      ]
    },
    {
      "page": "ContextBatchFSelect",
      "title": "Evaluation Context",
      "topics": [
        "ContextBatchFSelect"
      ]
    },
    {
      "page": "embedded_ensemble_fselect",
      "title": "Embedded Ensemble Feature Selection",
      "topics": [
        "embedded_ensemble_fselect"
      ]
    },
    {
      "page": "ensemble_fs_result",
      "title": "Ensemble Feature Selection Result",
      "topics": [
        "EnsembleFSResult",
        "ensemble_fs_result"
      ]
    },
    {
      "page": "ensemble_fselect",
      "title": "Wrapper-based Ensemble Feature Selection",
      "topics": [
        "ensemble_fselect"
      ]
    },
    {
      "page": "extract_inner_fselect_archives",
      "title": "Extract Inner Feature Selection Archives",
      "topics": [
        "extract_inner_fselect_archives"
      ]
    },
    {
      "page": "extract_inner_fselect_results",
      "title": "Extract Inner Feature Selection Results",
      "topics": [
        "extract_inner_fselect_results"
      ]
    },
    {
      "page": "faggregate",
      "title": "Fast Aggregation of ResampleResults and BenchmarkResults",
      "topics": [
        "faggregate"
      ]
    },
    {
      "page": "fs",
      "title": "Syntactic Sugar for Feature Selection Objects Construction",
      "topics": [
        "fs",
        "fss"
      ]
    },
    {
      "page": "fselect",
      "title": "Function for Feature Selection",
      "topics": [
        "fselect"
      ]
    },
    {
      "page": "fselect_nested",
      "title": "Function for Nested Resampling",
      "topics": [
        "fselect_nested"
      ]
    },
    {
      "page": "FSelectInstanceAsyncMultiCrit",
      "title": "Multi-Criteria Feature Selection with Rush",
      "topics": [
        "FSelectInstanceAsyncMultiCrit"
      ]
    },
    {
      "page": "FSelectInstanceAsyncSingleCrit",
      "title": "Single Criterion Feature Selection with Rush",
      "topics": [
        "FSelectInstanceAsyncSingleCrit"
      ]
    },
    {
      "page": "FSelectInstanceBatchMultiCrit",
      "title": "Class for Multi Criteria Feature Selection",
      "topics": [
        "FSelectInstanceBatchMultiCrit"
      ]
    },
    {
      "page": "FSelectInstanceBatchSingleCrit",
      "title": "Class for Single Criterion Feature Selection",
      "topics": [
        "FSelectInstanceBatchSingleCrit"
      ]
    },
    {
      "page": "FSelector",
      "title": "FSelector",
      "concept": [
        "FSelector"
      ],
      "topics": [
        "FSelector"
      ]
    },
    {
      "page": "FSelectorAsync",
      "title": "Class for Asynchronous Feature Selection Algorithms",
      "topics": [
        "FSelectorAsync"
      ]
    },
    {
      "page": "FSelectorBatch",
      "title": "Class for Batch Feature Selection Algorithms",
      "topics": [
        "FSelectorBatch"
      ]
    },
    {
      "page": "fsi",
      "title": "Syntactic Sugar for Feature Selection Instance Construction",
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