fix: anticipate row roles change in mlr3

.github/workflows/test-task-1.yml

@@ -0,0 +1,44 @@
+# r cmd check workflow of the mlr3 ecosystem v0.1.0
+# https://github.com/mlr-org/actions
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+
+name: mlr3 change
+
+jobs:
+  r-cmd-check:
+    runs-on: ${{ matrix.config.os }}
+
+    name: ${{ matrix.config.os }} (${{ matrix.config.r }})
+
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        config:
+          - {os: ubuntu-latest,   r: 'devel'}
+          - {os: ubuntu-latest,   r: 'release'}
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: mlr3
+        run: 'echo -e "Remotes:\n    mlr-org/mlr3@feat/train-predict" >> DESCRIPTION'
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          r-version: ${{ matrix.config.r }}
+
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          extra-packages: any::rcmdcheck
+          needs: check
+      - uses: r-lib/actions/check-r-package@v2

.github/workflows/test-task-2.yml

@@ -0,0 +1,44 @@
+# r cmd check workflow of the mlr3 ecosystem v0.1.0
+# https://github.com/mlr-org/actions
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+
+name: mlr3 & mlr3pipelines change
+
+jobs:
+  r-cmd-check:
+    runs-on: ${{ matrix.config.os }}
+
+    name: ${{ matrix.config.os }} (${{ matrix.config.r }})
+
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        config:
+          - {os: ubuntu-latest,   r: 'devel'}
+          - {os: ubuntu-latest,   r: 'release'}
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: mlr3
+        run: 'echo -e "Remotes:\n    mlr-org/mlr3@feat/train-predict,\n    mlr-org/mlr3pipelines@feat/test-rows" >> DESCRIPTION'
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          r-version: ${{ matrix.config.r }}
+
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          extra-packages: any::rcmdcheck
+          needs: check
+      - uses: r-lib/actions/check-r-package@v2

NAMESPACE

@@ -47,4 +47,10 @@ import(mlr3)
 import(mlr3misc)
 import(paradox)
 importFrom(R6,R6Class)
+importFrom(bbotk,mlr_terminators)
+importFrom(bbotk,trm)
+importFrom(bbotk,trms)
+importFrom(mlr3misc,clbk)
+importFrom(mlr3misc,clbks)
+importFrom(mlr3misc,mlr_callbacks)
 importFrom(utils,bibentry)

R/TunerIrace.R

@@ -138,7 +138,7 @@ target_runner_tuning = function(experiment, exec.target.runner, scenario, target
     configuration
   })
   # fix logicals
-  lgl_params = as.data.table(tuning_instance$search_space)[class == "ParamLgl", id]
+  lgl_params = as.data.table(tuning_instance$search_space)[class == "ParamLgl", get("id")]
   if (length(lgl_params)) xdt[, (lgl_params) := lapply(.SD, as.logical), .SDcols = lgl_params]
 
   # provide experiment instances to objective

R/mlr_callbacks.R

@@ -151,14 +151,9 @@ load_callback_backup = function() {
 #'   callbacks = clbk("mlr3tuning.measures", measures = msr("classif.acc"))
 #' )
 #'
-#' # score the configurations on the holdout set
 #' task = tsk("pima")
-#' splits = partition(task, ratio = 0.8)
-#' task$row_roles$use = splits$train
-#' task$row_roles$holdout = splits$test
 #'
 #' learner = lrn("classif.rpart", cp = to_tune(1e-04, 1e-1, logscale = TRUE))
-#' learner$predict_sets = c("test", "holdout")
 #'
 #' instance = tune(
 #'   tuner = tnr("random_search", batch_size = 2),
@@ -168,7 +163,7 @@ load_callback_backup = function() {
 #'   measures = msr("classif.ce"),
 #'   term_evals = 4,
 #'   callbacks = clbk("mlr3tuning.measures", measures = msr("classif.ce",
-#'     predict_sets = "holdout", id = "classif.ce_holdout"))
+#'     predict_sets = "test", id = "classif.ce_holdout"))
 #' )
 NULL
 

inst/testthat/helper_misc.R

@@ -139,5 +139,9 @@ MAKE_GL = function() {
   g$add_pipeop(op_ds)
   g$add_pipeop(op_lrn)
   g$add_edge("subsample", "classif.rpart")
-  GraphLearner$new(g)
+  gl = GraphLearner$new(g)
+  # FIXME: this is needed because graphlearner sets its properties to all available properties,
+  # which will be fixed in the next pipelines release
+  gl$properties = setdiff(gl$properties, "uses_test_task")
+  gl
 }

tests/testthat/test_AutoTuner.R

@@ -292,6 +292,9 @@ test_that("AutoTuner get_base_learner method works", {
   learner = as_learner(pipeline_robustify() %>>% lrn("classif.rpart"))
   learner$param_set$values$classif.rpart.cp = to_tune(1e-04, 1e-1, logscale = TRUE)
   learner$id = "graphlearner.classif.rpart"
+  # FIXME: this is needed because graphlearner sets its properties to all available properties,
+  # which will be fixed in the next pipelines release
+  learner$properties = setdiff(learner$properties, "uses_test_task")
 
   at = auto_tuner(
     tuner = tnr("random_search"),