Package: mlr3fselect 1.0.0
mlr3fselect:Feature Selection for 'mlr3'
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.
Authors:
mlr3fselect_1.0.0.tar.gz
mlr3fselect_1.0.0.tar.gz(r-4.5-noble)mlr3fselect_1.0.0.tar.gz(r-4.4-noble)
mlr3fselect_1.0.0.tgz(r-4.4-emscripten)mlr3fselect_1.0.0.tgz(r-4.3-emscripten)
mlr3fselect.pdf |mlr3fselect.html✨
mlr3fselect/json (API)
NEWS
# Installmlr3fselect in R: |
install.packages('mlr3fselect',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlr-org/mlr3fselect/issues
Last updated 6 days agofrom:4eb25545e6
Exports:ArchiveBatchFSelectassert_fselect_instanceassert_fselect_instance_asyncassert_fselect_instance_batchassert_fselector_asyncassert_fselector_batchassert_fselectorsauto_fselectorAutoFSelectorcallback_batch_fselectclbkclbksContextBatchFSelectensemble_fselectEnsembleFSResultextract_inner_fselect_archivesextract_inner_fselect_resultsfsfselectfselect_nestedFSelectInstanceBatchMultiCritFSelectInstanceBatchSingleCritFSelectorFSelectorBatchFSelectorBatchDesignPointsFSelectorBatchExhaustiveSearchFSelectorBatchFromOptimizerBatchFSelectorBatchGeneticSearchFSelectorBatchRandomSearchFSelectorBatchRFEFSelectorBatchRFECVFSelectorBatchSequentialFSelectorBatchShadowVariableSearchfsifssmlr_callbacksmlr_fselectorsmlr_terminatorsObjectiveFSelectObjectiveFSelectBatchtrmtrms
Dependencies:backportsbbotkcheckmatecodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslatticelgrlistenvMatrixmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6RhpcBLASctlstabmuuid