DESCRIPTION

Package: mlr3fselect
Title: Feature Selection for 'mlr3'
Version: 1.2.1.9000
Authors@R: c(
    person("Marc", "Becker", , "marcbecker@posteo.de", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0748-6624")),
    person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Bernd", "Bischl", , "bernd_bischl@gmx.net", role = "aut",
           comment = c(ORCID = "0000-0001-6002-6980")),
    person("John", "Zobolas", , "bblodfon@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-3609-8674"))
  )
Description: Feature selection package of the 'mlr3' ecosystem. It selects
    the optimal feature set for any 'mlr3' learner. The package works with
    several optimization algorithms e.g. Random Search, Recursive Feature
    Elimination, and Genetic Search. Moreover, it can automatically
    optimize learners and estimate the performance of optimized feature
    sets with nested resampling.
License: LGPL-3
URL: https://mlr3fselect.mlr-org.com,
    https://github.com/mlr-org/mlr3fselect
BugReports: https://github.com/mlr-org/mlr3fselect/issues
Depends:
    mlr3 (>= 0.21.1),
    R (>= 3.1.0)
Imports:
    bbotk (>= 1.2.0),
    checkmate (>= 2.0.0),
    data.table,
    lgr,
    mlr3misc (>= 0.15.1),
    paradox (>= 1.0.0),
    R6,
    stabm
Suggests:
    e1071,
    genalg,
    mlr3learners,
    mlr3pipelines,
    rpart,
    fastVoteR,
    testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Collate:
    'ArchiveBatchFSelect.R'
    'AutoFSelector.R'
    'CallbackBatchFSelect.R'
    'ContextBatchFSelect.R'
    'EnsembleFSResult.R'
    'FSelectInstanceBatchSingleCrit.R'
    'FSelectInstanceBatchMultiCrit.R'
    'mlr_fselectors.R'
    'FSelector.R'
    'FSelectorBatch.R'
    'FSelectorBatchDesignPoints.R'
    'FSelectorBatchExhaustiveSearch.R'
    'FSelectorBatchFromOptimizerBatch.R'
    'FSelectorBatchGeneticSearch.R'
    'FSelectorBatchRFE.R'
    'FSelectorBatchRFECV.R'
    'FSelectorBatchRandomSearch.R'
    'FSelectorBatchSequential.R'
    'FSelectorBatchShadowVariableSearch.R'
    'ObjectiveFSelect.R'
    'ObjectiveFSelectBatch.R'
    'assertions.R'
    'auto_fselector.R'
    'bibentries.R'
    'embedded_ensemble_fselect.R'
    'ensemble_fselect.R'
    'extract_inner_fselect_archives.R'
    'extract_inner_fselect_results.R'
    'fselect.R'
    'fselect_nested.R'
    'helper.R'
    'mlr_callbacks.R'
    'reexports.R'
    'sugar.R'
    'zzz.R'