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Package: mlr3fselect
Title: Feature Selection for 'mlr3'
Version: 1.5.1.9000
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 (>= 1.0.1),
R (>= 3.1.0)
Imports:
bbotk (>= 1.9.0),
checkmate (>= 2.0.0),
cli,
data.table,
lgr,
mlr3misc (>= 0.15.1),
paradox (>= 1.0.0),
R6,
stabm
Suggests:
e1071,
fastVoteR,
genalg,
mirai,
mlr3learners,
mlr3pipelines,
processx,
redux,
rpart,
rush (>= 1.0.0),
testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Collate:
'ArchiveAsyncFSelect.R'
'ArchiveAsyncFSelectFrozen.R'
'ArchiveBatchFSelect.R'
'AutoFSelector.R'
'CallbackAsyncFSelect.R'
'CallbackBatchFSelect.R'
'ContextAsyncFSelect.R'
'ContextBatchFSelect.R'
'EnsembleFSResult.R'
'FSelectInstanceAsyncSingleCrit.R'
'FSelectInstanceAsyncMultiCrit.R'
'FSelectInstanceBatchSingleCrit.R'
'FSelectInstanceBatchMultiCrit.R'
'mlr_fselectors.R'
'FSelector.R'
'FSelectorAsync.R'
'FSelectorAsyncDesignPoints.R'
'FSelectorAsyncExhaustiveSearch.R'
'FSelectorAsyncFromOptimizerAsync.R'
'FSelectorAsyncRandomSearch.R'
'FSelectorBatch.R'
'FSelectorBatchDesignPoints.R'
'FSelectorBatchExhaustiveSearch.R'
'FSelectorBatchFromOptimizerBatch.R'
'FSelectorBatchGeneticSearch.R'
'FSelectorBatchRFE.R'
'FSelectorBatchRFECV.R'
'FSelectorBatchRandomSearch.R'
'FSelectorBatchSequential.R'
'FSelectorBatchShadowVariableSearch.R'
'ObjectiveFSelect.R'
'ObjectiveFSelectAsync.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'
'faggregate.R'
'fselect.R'
'fselect_nested.R'
'helper.R'
'mlr_callbacks.R'
'reexports.R'
'sugar.R'
'zzz.R'