NEWS.md
FSelectorRFE
stores importance values of each evaluated feature set in archive.ArchiveFSelect$data
is a public field now.FSelectorRFE
supports fraction of features to retain in each iteration (feature_fraction
), number of features to remove in each iteration (feature_number
) and vector of number of features to retain in each iteration (subset_sizes
).AutoFSelect
is renamed to AutoFSelector
.as.data.table(rr)$learner[[1]]$fselect_result
must be used now.store_benchmark_result
, store_models
and check_values
in AutoFSelector
. store_fselect_instance
must be set as a parameter during initialization.FSelectorGeneticSearch
.check_values
flag in FSelectInstanceSingleCrit
and FSelectInstanceMultiCrit
.bibtex
.PipeOpSelect
is internally used for task subsetting.Archive
is ArchiveFSelect
now which stores the benchmark result in $benchmark_result
. This change removed the resample results from the archive but they can be still accessed via the benchmark result.