compatibility: mlr3 0.22.0

Author: be-marc

DESCRIPTION

@@ -50,7 +50,7 @@ Config/testthat/edition: 3
 Encoding: UTF-8
 NeedsCompilation: no
 Roxygen: list(markdown = TRUE, r6 = TRUE)
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Collate:
     'Filter.R'
     'mlr_filters.R'

NEWS.md

@@ -1,71 +1,73 @@
 # mlr3filters (development version)
 
+* compatibility: mlr3 0.22.0
+
 # mlr3filters 0.8.0
 
-- 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: `$hash` now works for `Filter`s
+* Added `FilterBoruta`
+* Fixed issue with `FilterPerformance` where the arg `measure` wasn't passed on
+* Added `FilterUnivariateCox` (thanks to @bblodfon)
+* Parameter value `na.rm` is properly initialized to `TRUE` (thanks to @bblodfon)
+* Bugfix: property `missings` is now set correctly for `FilterFindCorrelation`
+* Bugfix: `$hash` now works for `Filter`s
 
 # mlr3filters 0.7.1
 
-- Tagged multiple filters to be able of gracefully handling missing values.
-- Added more supported feature types to FilterCarScore.
-- Improved documentation.
+* Tagged multiple filters to be able of gracefully handling missing values.
+* Added more supported feature types to FilterCarScore.
+* Improved documentation.
 
 # mlr3filters 0.7.0
 
-- 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`.
+* 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
 
-- 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)
+* 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
 
-- Add references to benchmark paper and praznik paper (#104)
-- New filter `FilterSelectedFeatures` which makes use of embedded feature selection methods of learners.
+* 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.
+* 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
 
-- Fixes an issue where argument `nfeat` was not passed down to {praznik} filters (#97)
+* Fixes an issue where argument `nfeat` was not passed down to {praznik} filters (#97)
 
 
 # mlr3filters 0.4.1
 
-- Disable threading in praznik filters by default (5f24742e9b92f6a5f828c4f755be3fb53427afdb, @mllg)
+* 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.
+* 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)
+* praznik filters now also support `regr` Tasks (#90, @bommert)
 
 
 # mlr3filters 0.4.0
 
-- 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)
+* 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
 
-- 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 `$help()` which opens the respective help page (#68)
+* Add Permutation (#70)
+* Add `flts()` (#77)
+* Github Actions: set cron job to 4am to avoid potential download issues with R-devel on macOS
+* Filters now have a help method `$help()` which opens the respective help page (#68)
 
 
 # mlr3filters 0.2.0

R/FilterCorrelation.R

@@ -37,7 +37,7 @@
 #' as.data.table(filter)
 #' if (mlr3misc::require_namespaces(c("mlr3pipelines", "rpart"), quietly = TRUE)) {
 #'   library("mlr3pipelines")
-#'   task = mlr3::tsk("boston_housing")
+#'   task = mlr3::tsk("mtcars")
 #'
 #'   # Note: `filter.frac` is selected randomly and should be tuned.
 #'

man/flt.Rd

@@ -35,7 +35,8 @@ test_that("filters throw errors on missing values", {
 })
 
 test_that("Errors for unsupported features", {
-  task = tsk("boston_housing")
+  skip_if("ames_housing" %nin% mlr_tasks$keys())
+  task = tsk("ames_housing")
   filters = mlr_filters$mget(mlr_filters$keys())
 
   # supported: numeric, integer

man/mlr_filters_correlation.Rd

@@ -40,3 +40,5 @@ test_that("filters throw errors on missing values", {
     }
   }
 })
+
+