- remove bartMachine learner (#2851)

Author: pat-s

DESCRIPTION

@@ -75,7 +75,6 @@ Imports:
 Suggests:
     ada,
     adabag,
-    bartMachine,
     batchtools,
     bit64,
     brnn,
@@ -183,7 +182,7 @@ ByteCompile: yes
 Config/testthat/edition: 3
 Config/testthat/parallel: true
 Config/testthat/start-first: featsel_plotFilterValues,base_plotResiduals,base_generateHyperParsEffect,
-    classif_bartMachine, tune_tuneIrace, featsel_filters, learners_all*,
+    tune_tuneIrace, featsel_filters, learners_all*,
     regr_h2ogbm
 Encoding: UTF-8
 LazyData: yes

NAMESPACE

@@ -159,7 +159,6 @@ S3method(makeRLearner,classif.PART)
 S3method(makeRLearner,classif.RRF)
 S3method(makeRLearner,classif.ada)
 S3method(makeRLearner,classif.adaboostm1)
-S3method(makeRLearner,classif.bartMachine)
 S3method(makeRLearner,classif.binomial)
 S3method(makeRLearner,classif.boosting)
 S3method(makeRLearner,classif.bst)
@@ -237,7 +236,6 @@ S3method(makeRLearner,regr.IBk)
 S3method(makeRLearner,regr.LiblineaRL2L1SVR)
 S3method(makeRLearner,regr.LiblineaRL2L2SVR)
 S3method(makeRLearner,regr.RRF)
-S3method(makeRLearner,regr.bartMachine)
 S3method(makeRLearner,regr.bcart)
 S3method(makeRLearner,regr.bgp)
 S3method(makeRLearner,regr.bgpllm)
@@ -340,7 +338,6 @@ S3method(predictLearner,classif.PART)
 S3method(predictLearner,classif.RRF)
 S3method(predictLearner,classif.ada)
 S3method(predictLearner,classif.adaboostm1)
-S3method(predictLearner,classif.bartMachine)
 S3method(predictLearner,classif.binomial)
 S3method(predictLearner,classif.boosting)
 S3method(predictLearner,classif.bst)
@@ -418,7 +415,6 @@ S3method(predictLearner,regr.IBk)
 S3method(predictLearner,regr.LiblineaRL2L1SVR)
 S3method(predictLearner,regr.LiblineaRL2L2SVR)
 S3method(predictLearner,regr.RRF)
-S3method(predictLearner,regr.bartMachine)
 S3method(predictLearner,regr.bcart)
 S3method(predictLearner,regr.bgp)
 S3method(predictLearner,regr.bgpllm)
@@ -586,7 +582,6 @@ S3method(trainLearner,classif.PART)
 S3method(trainLearner,classif.RRF)
 S3method(trainLearner,classif.ada)
 S3method(trainLearner,classif.adaboostm1)
-S3method(trainLearner,classif.bartMachine)
 S3method(trainLearner,classif.binomial)
 S3method(trainLearner,classif.boosting)
 S3method(trainLearner,classif.bst)
@@ -664,7 +659,6 @@ S3method(trainLearner,regr.IBk)
 S3method(trainLearner,regr.LiblineaRL2L1SVR)
 S3method(trainLearner,regr.LiblineaRL2L2SVR)
 S3method(trainLearner,regr.RRF)
-S3method(trainLearner,regr.bartMachine)
 S3method(trainLearner,regr.bcart)
 S3method(trainLearner,regr.bgp)
 S3method(trainLearner,regr.bgpllm)

tests/testthat/test_learners_all_classif.R

@@ -1,9 +1,6 @@
 
 test_that("learners work: classif", {
 
-  # because of missing rJava for bartMachine
-  skip_on_os("windows")
-
   # settings to make learners faster and deal with small data size
   hyperpars = list(
     classif.boosting = list(mfinal = 2L),

tests/testthat/test_learners_all_regr.R

@@ -4,18 +4,12 @@ test_that("learners work: regr ", {
   requirePackagesOrSkip("kknn")
   requirePackagesOrSkip("survival")
 
-  # because of missing rJava for bartMachine
-  skip_on_os("windows")
   # suppressPackageStartupMessages(requirePackagesOrSkip("crs", default.method = "load"))
 
   # settings to make learners faster and deal with small data size
   hyperpars = list(
     regr.km = list(nugget = 0.01),
     regr.cforest = list(mtry = 1L, minsplit = 1, minbucket = 1),
-    regr.bartMachine = list(verbose = FALSE, run_in_sample = FALSE,
-      # see above
-      replace_missing_data_with_x_j_bar = TRUE,
-      num_iterations_after_burn_in = 10L),
     regr.h2o.deeplearning = list(hidden = 2L),
     regr.ranger = list(keep.inbag = TRUE)
   )

tests/testthat/test_learners_classiflabelswitch.R

@@ -29,8 +29,6 @@ mytask3 = makeClassifTask(id = "t3", data = mydata3, target = "y")
 mytask4 = makeClassifTask(id = "t4", data = mydata4, target = "y")
 
 hpars = list(
-  classif.bartMachine = list(verbose = FALSE, run_in_sample = FALSE,
-    num_iterations_after_burn_in = 10L),
   classif.bdk = list(ydim = 2L),
   classif.boosting = list(mfinal = 10L),
   classif.cforest = list(mtry = 2L),
@@ -46,9 +44,6 @@ hpars = list(
 
 test_that("no labels are switched", {
 
-  # because of missing rJava for bartMachine
-  skip_on_os("windows")
-
   # spurious non-deterministic changes
   skip_on_os("linux")