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Changelog

Source: NEWS.md

mlr3filters 0.9.0

  • refactor: Field param_set of class Filter is now an active binding.
  • feat: Added support for logical, factor, and ordered features to FilterBoruta.
  • feat: Added cli package for class printer.
  • fix: Use fresh resampling instance in each invocation in FilterPerformance.
  • fix: standardize parameter in FilterPermutation works now as expected.

mlr3filters 0.8.1

CRAN release: 2024-11-08

  • compatibility: mlr3 0.22.0

mlr3filters 0.8.0

CRAN release: 2024-04-10

  • Added FilterBoruta
  • Fixed issue with FilterPerformance where the arg measure wasn’t passed on
  • Added FilterUnivariateCox (thanks to @bblodfon)
  • Parameter value na.rm is properly initialized to TRUE (thanks to @bblodfon)
  • Bugfix: property missings is now set correctly for FilterFindCorrelation
  • Bugfix: $hash now works for Filters

mlr3filters 0.7.1

CRAN release: 2023-02-15

  • Tagged multiple filters to be able of gracefully handling missing values.
  • Added more supported feature types to FilterCarScore.
  • Improved documentation.

mlr3filters 0.7.0

CRAN release: 2023-01-06

  • Features are now checked for missing values to improve error messages (#140)
  • Removed deprecated functions
  • Use featureless learner in defaults (#124)
  • Field task_type of class Filter has been renamed to task_types.

mlr3filters 0.6.0

CRAN release: 2022-09-02

  • Add FilterCarSurvScore (#120, @mllg)
  • Use featureless learner instead of rpart as default learner for FilterImportance and FilterPerformance (#124)
  • Add documentation for PipeOpFilter
  • Add mlr3pipelines examples to help pages (#135, @sebffischer)
  • Add label arg to Filter class (#121, @mllg)

mlr3filters 0.5.0

CRAN release: 2022-01-25

  • Add references to benchmark paper and praznik paper (#104)
  • New filter FilterSelectedFeatures which makes use of embedded feature selection methods of learners. See the help page for more details (#102)
  • Allow NA as task type. This makes it possible to use other tasks than "regr" or "classif" for certain filters, e.g. FilterVariance (#106)

mlr3filters 0.4.2

CRAN release: 2021-07-12

  • Fixes an issue where argument nfeat was not passed down to {praznik} filters (#97)

mlr3filters 0.4.1

CRAN release: 2021-03-08

  • Disable threading in praznik filters by default (5f24742e9b92f6a5f828c4f755be3fb53427afdb, @mllg) Enable by setting hyperparameter threads >= 2 or to 0 for auto-detection of available cores (#93, @mllg)
  • Document return type of private .calculate() (#92, @mllg)
  • Allow NA in returned vectors. Features with missing values as well as features with no calculated score are automatically ranked last, in a random order. (#92, @mllg)
  • praznik filters now also support regr Tasks (#90, @bommert)

mlr3filters 0.4.0

CRAN release: 2020-11-10

  • Add ReliefF filter (#86)
  • Fix praznik scores calculation: praznik filters are not monotone in the selected features due to their iterative fashion. E.g., the first selected feature can have a score of 5, the second selected feature a score of 10. This version replaces the praznik scores by a simple sequence (#87, @mllg)

mlr3filters 0.3.0

CRAN release: 2020-07-18

  • Add Permutation (#70)
  • Add flts() (#77)
  • Github Actions: set cron job to 4am to avoid potential download issues with R-devel on macOS
  • Filters now have a help method $help() which opens the respective help page (#68)

mlr3filters 0.2.0

CRAN release: 2020-03-12

Internal

  • Use private$.calculate instead of public “calculate” method for Filters
  • switch from Travis to GitHub Actions
  • Use Roxygen R6 notation for docs

Enhancements

  • new filter FilterFindCorrelation (#62, @mb706)

mlr3filters 0.1.1

CRAN release: 2019-12-08

  • Replace dependency Metrics with mlr3measures.

mlr3filters 0.1.0

CRAN release: 2019-09-04

  • Initial CRAN release.