Releases: mlr-org/mlr3fselect
Releases · mlr-org/mlr3fselect
mlr3fselect 0.7.1
- feat:
FSelector
objects have the field$id
now.
mlr3fselect 0.7.0
- feat: Allow to pass
FSelector
objects asmethod
infselect()
andauto_fselector()
. - feat: Added
$label
toFSelector
s. - docs: New examples with
fselect()
function. - feat:
$help()
method which opens manual page of aFSelector
. - feat: Added a
as.data.table.DictionaryFSelector
function. - feat: Added
min_features
parameter toFSelectorSequential
.
mlr3fselect 0.6.1
- Add
store_models
flag tofselect()
. - Remove
store_x_domain
flag.
mlr3fselect 0.6.0
- Adds
AutoFSelector$base_learner()
method to extract the base learner from
nested learner objects. - Adds
fselect()
,auto_fselector()
andfselect_nested()
sugar functions. - Adds
extract_inner_fselect_results()
andextract_inner_fselect_archives()
helper function to extract inner feature selection results and archives.
mlr3fselect 0.5.1
- Remove
x_domain
column from archive.
mlr3fselect 0.5.0
FSelectorRFE
stores importance values of each evaluated feature set in
archive.ArchiveFSelect$data
is a public field now.
mlr3fselect 0.4.1
- Fix bug in
AutoFSelector$predict()
.
mlr3fselect 0.4.0
- 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 toAutoFSelector
.- 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
andcheck_values
inAutoFSelector
.store_fselect_instance
must be set as a parameter during
initialization. - Adds
FSelectorGeneticSearch
. - Fixes
check_values
flag inFSelectInstanceSingleCrit
and
FSelectInstanceMultiCrit
. - Removed dependency on orphaned package
bibtex
. PipeOpSelect
is internally used for task subsetting.
mlr3fselect 0.3.0
Archive
isArchiveFSelect
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.
mlr3fselect 0.2.1
- Warning message if external package for feature selection is not installed.