mlr3fselect 0.7.2
- docs: Re-generate rd files with valid html.
mlr3fselect 0.7.1
- feat:
FSelector objects have the field $id
now.
mlr3fselect 0.7.0
- feat: Allow to pass
FSelector objects as
method in fselect() and
auto_fselector().
- feat: Added
$label to FSelectors.
- docs: New examples with
fselect() function.
- feat:
$help() method which opens manual page of a
FSelector.
- feat: Added a
as.data.table.DictionaryFSelector
function.
- feat: Added
min_features parameter to
FSelectorSequential.
mlr3fselect 0.6.1
- Add
store_models flag to fselect().
- Remove
store_x_domain flag.
mlr3fselect 0.6.0
- Adds
AutoFSelector$base_learner() method to extract the
base learner from nested learner objects.
- Adds
fselect(), auto_fselector() and
fselect_nested() sugar functions.
- Adds
extract_inner_fselect_results() and
extract_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 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.
mlr3fselect 0.3.0
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.
mlr3fselect 0.2.1
- Warning message if external package for feature selection is not
installed.
mlr3fselect 0.2.0