Feature Selection for 'mlr3'

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Documentation for package ‘mlr3fselect’ version 1.3.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

mlr3fselect-package	mlr3fselect: Feature Selection for 'mlr3'
ArchiveBatchFSelect	Class for Logging Evaluated Feature Sets
AutoFSelector	Class for Automatic Feature Selection
auto_fselector	Function for Automatic Feature Selection
CallbackBatchFSelect	Create Feature Selection Callback
callback_batch_fselect	Create Feature Selection Callback
ContextBatchFSelect	Evaluation Context
embedded_ensemble_fselect	Embedded Ensemble Feature Selection
EnsembleFSResult	Ensemble Feature Selection Result
ensemble_fselect	Wrapper-based Ensemble Feature Selection
ensemble_fs_result	Ensemble Feature Selection Result
extract_inner_fselect_archives	Extract Inner Feature Selection Archives
extract_inner_fselect_results	Extract Inner Feature Selection Results
fs	Syntactic Sugar for FSelect Construction
fselect	Function for Feature Selection
FSelectInstanceBatchMultiCrit	Class for Multi Criteria Feature Selection
FSelectInstanceBatchSingleCrit	Class for Single Criterion Feature Selection
FSelector	FSelector
FSelectorBatch	Class for Batch Feature Selection Algorithms
FSelectorBatchDesignPoints	Feature Selection with Design Points
FSelectorBatchExhaustiveSearch	Feature Selection with Exhaustive Search
FSelectorBatchGeneticSearch	Feature Selection with Genetic Search
FSelectorBatchRandomSearch	Feature Selection with Random Search
FSelectorBatchRFE	Feature Selection with Recursive Feature Elimination
FSelectorBatchRFECV	Feature Selection with Recursive Feature Elimination with Cross Validation
FSelectorBatchSequential	Feature Selection with Sequential Search
FSelectorBatchShadowVariableSearch	Feature Selection with Shadow Variable Search
fselect_nested	Function for Nested Resampling
fsi	Syntactic Sugar for Instance Construction
fss	Syntactic Sugar for FSelect Construction
mlr3fselect	mlr3fselect: Feature Selection for 'mlr3'
mlr3fselect.backup	Backup Benchmark Result Callback
mlr3fselect.internal_tuning	Internal Tuning Callback
mlr3fselect.one_se_rule	One Standard Error Rule Callback
mlr3fselect.svm_rfe	SVM-RFE Callback
mlr_fselectors	Dictionary of FSelectors
mlr_fselectors_design_points	Feature Selection with Design Points
mlr_fselectors_exhaustive_search	Feature Selection with Exhaustive Search
mlr_fselectors_genetic_search	Feature Selection with Genetic Search
mlr_fselectors_random_search	Feature Selection with Random Search
mlr_fselectors_rfe	Feature Selection with Recursive Feature Elimination
mlr_fselectors_rfecv	Feature Selection with Recursive Feature Elimination with Cross Validation
mlr_fselectors_sequential	Feature Selection with Sequential Search
mlr_fselectors_shadow_variable_search	Feature Selection with Shadow Variable Search
ObjectiveFSelect	Class for Feature Selection Objective
ObjectiveFSelectBatch	Class for Feature Selection Objective