{
  "_id": "6ad4a9fb64aea59ac637be38",
  "Package": "mlr3fselect",
  "Title": "Feature Selection for 'mlr3'",
  "Version": "1.7.0",
  "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)",
  "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/roxygen2/version": "8.1.0",
  "Config/pak/sysreqs": "make",
  "Repository": "https://mlr-org.r-universe.dev",
  "Date/Publication": "2026-08-23 07:57:48 UTC",
  "RemoteUrl": "https://github.com/mlr-org/mlr3fselect",
  "RemoteRef": "v1.7.0",
  "RemoteSha": "bcb93f2058216b144ebc387e1fc5616d0c554473",
  "Packaged": {
    "Date": "2026-10-18 11:08:10 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>",
  "_user": "mlr-org",
  "_type": "src",
  "_file": "mlr3fselect_1.7.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/0bba530e588271a9c10fca19d0d81e6ca4423ac7255a0d6432dd18c7bfdfac2e",
  "_filesize": 578935,
  "_sha256": "0bba530e588271a9c10fca19d0d81e6ca4423ac7255a0d6432dd18c7bfdfac2e",
  "_expires": "2027-01-26T11:14:02.000Z",
  "_created": "2026-10-18T11:08:10.000Z",
  "_published": "2026-10-18T11:14:03.829Z",
  "_buildurl": "https://github.com/r-universe/mlr-org/actions/runs/39121773539",
  "_status": "success",
  "_host": "GitHub-Actions",
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      "job": 117659470745,
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  "_upstream": "https://github.com/mlr-org/mlr3fselect",
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    "id": "bcb93f2058216b144ebc387e1fc5616d0c554473",
    "author": "be-marc <marcbecker@posteo.de>",
    "committer": "be-marc <marcbecker@posteo.de>",
    "message": "test: reduce the runtime of the test suite\n\nThe overall check time exceeded the CRAN limit of 10 minutes on\nr-devel-windows-x86_64. The random search evaluated a full batch of 10 feature\nsets where the terminator allowed fewer, several tests resampled and searched\nfar beyond what they assert, and the base learner test trained on a task that\nis much larger than necessary. This cuts the test runtime from 142s to 92s\nwithout dropping a single test.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01GLueZTdZECxEkC6R7keRVZ\n",
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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"
      ]
    },
    {
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