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.