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Compact in-memory representation of R6 objects to save space when saving mlr3
objects via saveRDS(), serialize() etc.
FSelectorRFE supports fraction of features to retain in each iteration
(feature_fraction), number of features to remove in each iteration
(feature_number) and vector of number of features to retain in each
iteration (subset_sizes).
AutoFSelect is renamed to AutoFSelector.
To retrieve the inner feature selection results in nested resampling, as.data.table(rr)$learner[[1]]$fselect_result must be used now.
Option to control store_benchmark_result, store_models and check_values
in AutoFSelector. store_fselect_instance must be set as a parameter during
initialization.
Adds FSelectorGeneticSearch.
Fixes check_values flag in FSelectInstanceSingleCrit and FSelectInstanceMultiCrit.
Removed dependency on orphaned package bibtex.
PipeOpSelect is internally used for task subsetting.