Changelog

Source: NEWS.md

mlr3fselect 0.5.1.9000 Unreleased

  • Same as previous version.

mlr3fselect 0.5.1 2021-03-09

  • Remove x_domain column from archive.

mlr3fselect 0.5.0 2021-01-24

  • FSelectorRFE stores importance values of each evaluated feature set in archive.
  • ArchiveFSelect$data is a public field now.

mlr3fselect 0.4.1 2020-10-30

  • Fix bug in AutoFSelector$predict()

mlr3fselect 0.4.0 2020-10-22

  • 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 2020-09-22

  • 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 2020-09-10

  • Warning message if external package for feature selection is not installed.

mlr3fselect 0.2.0 2020-08-23

  • Initial CRAN release.