chore: update dev-cmd-check.yml

test: fix for mlr3pipelines 0.9
chore: update NEWS.md

Author: sumny

.github/workflows/dev-cmd-check.yml

@@ -36,6 +36,7 @@ jobs:
           - {os: ubuntu-latest, r: 'release', dev-package: 'mlr-org/mlr3misc'}
           - {os: ubuntu-latest, r: 'release', dev-package: 'mlr-org/mlr3tuning'}
           - {os: ubuntu-latest, r: 'release', dev-package: 'mlr-org/paradox'}
+          - {os: ubuntu-latest, r: 'release', dev-package: 'mlr-org/mlr3pipelines'}
 
     steps:
       - uses: actions/checkout@v3

DESCRIPTION

@@ -3,12 +3,12 @@ Package: mlr3mbo
 Title: Flexible Bayesian Optimization
 Version: 0.3.0.9000
 Authors@R: c(
-    person("Lennart", "Schneider", , "[email protected]", role = c("cre", "aut"),
+    person("Marc", "Becker", , "[email protected]", role = c("cre", "aut"),
+           comment = c(ORCID = "0000-0002-8115-0400")),
+    person("Lennart", "Schneider", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0003-4152-5308")),
     person("Jakob", "Richter", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0003-4481-5554")),
-    person("Marc", "Becker", , "[email protected]", role = "aut",
-           comment = c(ORCID = "0000-0002-8115-0400")),
     person("Michel", "Lang", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0001-9754-0393")),
     person("Bernd", "Bischl", , "[email protected]", role = "aut",

NEWS.md

@@ -1,5 +1,10 @@
 # mlr3mbo (development version)
 
+* chore: maintainer change.
+* chore: work with new mlr3pipelines version 0.9.0 (fix for tests only).
+* test: `expect_rush_reset` changes related to rush developments.
+* fix: allow `InputTrafoUnitcube` to work in mixed spaces.
+
 # mlr3mbo 0.3.0
 
 * fix: logger changes related to bbotk.

tests/testthat/test_mbo_defaults.R

@@ -85,18 +85,19 @@ test_that("default_surrogate", {
   expect_r6(surrogate, "SurrogateLearner")
   expect_r6(surrogate$learner, "GraphLearner")
   expect_equal(surrogate$learner$graph$ids(), c("imputesample", "imputeoor", "colapply", "regr.ranger"))
-  expect_equal_sorted(surrogate$learner$param_set$values,
-    list(imputesample.affect_columns = mlr3pipelines::selector_type("logical"),
-         imputeoor.min = TRUE,
-         imputeoor.offset = 1,
-         imputeoor.multiplier = 3,
-         imputeoor.affect_columns = mlr3pipelines::selector_type(c("integer", "numeric", "character", "factor", "ordered")),
-         colapply.applicator = as.factor,
-         colapply.affect_columns = mlr3pipelines::selector_type("character"),
-         regr.ranger.num.threads = 1L,
-         regr.ranger.num.trees = 100L,
-         regr.ranger.keep.inbag = TRUE,
-         regr.ranger.se.method = "jack"))
+  list_expected = list(imputesample.affect_columns = mlr3pipelines::selector_type("logical"),
+     imputeoor.min = TRUE,
+     imputeoor.offset = 1,
+     imputeoor.multiplier = 3,
+     imputeoor.affect_columns = mlr3pipelines::selector_type(c("integer", "numeric", "character", "factor", "ordered")),
+     colapply.applicator = as.factor,
+     colapply.affect_columns = mlr3pipelines::selector_type("character"),
+     regr.ranger.num.threads = 1L,
+     regr.ranger.num.trees = 100L,
+     regr.ranger.keep.inbag = TRUE,
+     regr.ranger.se.method = "jack")
+  expect_equal_sorted(surrogate$learner$param_set$values[names(list_expected)], list_expected)
+
   expect_r6(surrogate$learner$fallback, "LearnerRegrFeatureless")
 
   # specify own learner, specify n_objectives, twocrit all numeric, deterministic