Last updated on 2026-08-24 05:51:22 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.11.0 | 37.81 | 637.67 | 675.48 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.11.0 | 22.46 | 460.83 | 483.29 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.11.0 | 26.00 | 416.30 | 442.30 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.11.0 | 27.00 | 404.11 | 431.11 | ERROR | |
| r-devel-windows-x86_64 | 0.11.0 | 40.00 | 490.00 | 530.00 | ERROR | |
| r-patched-linux-x86_64 | 0.11.0 | 54.57 | 636.56 | 691.13 | ERROR | |
| r-release-linux-x86_64 | 0.11.0 | 36.57 | 630.78 | 667.35 | ERROR | |
| r-release-macos-arm64 | 0.11.0 | 8.00 | 106.00 | 114.00 | OK | |
| r-release-macos-x86_64 | 0.11.0 | 24.00 | 528.00 | 552.00 | OK | |
| r-release-windows-x86_64 | 0.11.0 | 39.00 | 477.00 | 516.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.11.0 | 8.00 | 113.00 | 121.00 | OK | |
| r-oldrel-macos-x86_64 | 0.11.0 | 28.00 | 883.00 | 911.00 | OK | |
| r-oldrel-windows-x86_64 | 0.11.0 | 54.00 | 621.00 | 675.00 | ERROR |
Version: 0.11.0
Check: R code for possible problems
Result: NOTE
Found calls to structure() using deprecated special names:
mlr3pipelines/R/PipeOpFilter.R (.Names: 1)
'.Names' should be changed to 'names'.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
Version: 0.11.0
Check: examples
Result: ERROR
Running examples in ‘mlr3pipelines-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_pipeops_imputeconstant
> ### Title: Impute Features by a Constant
> ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant
>
> ### ** Examples
>
> library("mlr3")
>
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
mlr_graphs_ovr 4.543 0.121 5.422
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [364s/184s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_multiplicities.R:
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-21 07:09:46.955502: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:46.956397: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:46.971807: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:46.990871: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:47.053711: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:47.054205: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:47.065126: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:47.085455: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:47.114382: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:47.115104: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:47.134593: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:47.177049: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:47.178445: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:47.209561: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:47.210102: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:47.230832: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:47.273317: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:47.27472: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:47.375236: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:47.375752: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:47.403885: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:47.501106: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:47.539176: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:47.539925: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:47.572617: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:47.772287: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:47.775546: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:47.940996: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:47.941513: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:47.96133: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:47.979366: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:48.016745: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.019054: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.036903: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.079268: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:48.080586: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:48.238725: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.239239: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.2503: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.268825: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:48.324742: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.327182: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.344693: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.386139: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:48.38738: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:48.488849: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.489356: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.500228: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.518722: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:48.575233: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.575988: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.595494: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.638315: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:48.639556: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:48.727795: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.728284: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.739013: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.757824: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:48.813907: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.814632: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.831884: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:48.874035: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:48.875236: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:48.973062: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:48.973583: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:48.985892: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:49.004905: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:49.06058: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 07:09:49.061352: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:49.078716: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:49.120497: embedding
> test_pipeop_isomap.R: 2026-08-21 07:09:49.121805: DONE
> test_pipeop_isomap.R: 2026-08-21 07:09:49.220343: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:49.22083: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:49.231399: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:49.249871: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:49.342606: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:49.343109: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:49.36436: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:49.384539: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 07:09:49.411256: Isomap START
> test_pipeop_isomap.R: 2026-08-21 07:09:49.411762: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 07:09:49.423691: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 07:09:49.442493: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1', 'test_dictionary.R:7:3',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_mlr_graphs_branching.R:26:3', 'test_mlr_graphs_bagging.R:6:3',
'test_mlr_graphs_robustify.R:5:3', 'test_pipeop_adas.R:8:3',
'test_pipeop_blsmote.R:8:3', 'test_pipeop_branch.R:4:3',
'test_pipeop_chunk.R:4:3', 'test_pipeop_boxcox.R:7:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_classweights.R:10:3',
'test_pipeop_classweightsex.R:9:3', 'test_pipeop_colapply.R:9:3',
'test_pipeop_collapsefactors.R:6:3', 'test_pipeop_copy.R:5:3',
'test_pipeop_colroles.R:6:3', 'test_pipeop_decode.R:14:3',
'test_pipeop_encode.R:21:3', 'test_pipeop_datefeatures.R:10:3',
'test_pipeop_encodeimpact.R:11:3', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_filter.R:7:3',
'test_pipeop_fixfactors.R:9:3', 'test_pipeop_histbin.R:7:3',
'test_pipeop_ica.R:7:3', 'test_pipeop_featureunion.R:9:3',
'test_pipeop_featureunion.R:134:3', 'test_pipeop_imputelearner.R:43:3',
'test_pipeop_info.R:3:1', 'test_pipeop_impute.R:4:3',
'test_pipeop_kernelpca.R:9:3', 'test_pipeop_isomap.R:10:3',
'test_pipeop_learner.R:17:3', 'test_pipeop_learnerpicvplus.R:2:1',
'test_pipeop_learnercv.R:3:3', 'test_pipeop_learnercv.R:43:3',
'test_pipeop_learnercv.R:73:3', 'test_pipeop_learnercv.R:92:3',
'test_pipeop_learnercv.R:141:3', 'test_pipeop_learnercv.R:157:3',
'test_pipeop_learnercv.R:203:3', 'test_pipeop_learnercv.R:249:3',
'test_pipeop_learnercv.R:278:3', 'test_pipeop_learnercv.R:332:3',
'test_pipeop_learnercv.R:359:3', 'test_pipeop_learnercv.R:389:3',
'test_pipeop_learnercv.R:399:3', 'test_pipeop_learnercv.R:432:3',
'test_pipeop_learnercv.R:472:3', 'test_pipeop_learnercv.R:481:3',
'test_pipeop_learnercv.R:498:3', 'test_pipeop_learnercv.R:506:3',
'test_pipeop_learnercv.R:530:3', 'test_pipeop_learnercv.R:554:3',
'test_pipeop_learnercv.R:634:3', 'test_pipeop_learnercv.R:654:3',
'test_pipeop_learnercv.R:669:3', 'test_pipeop_learnercv.R:754:3',
'test_pipeop_learnercv.R:799:3', 'test_pipeop_learnercv.R:827:3',
'test_pipeop_modelmatrix.R:7:3', 'test_pipeop_multiplicityexply.R:9:3',
'test_pipeop_mutate.R:9:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_ovr.R:9:3',
'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3', 'test_pipeop_proxy.R:2:1',
'test_pipeop_quantilebin.R:5:3', 'test_pipeop_randomprojection.R:6:3',
'test_pipeop_randomresponse.R:5:3', 'test_pipeop_removeconstants.R:6:3',
'test_pipeop_renamecolumns.R:6:3', 'test_pipeop_replicate.R:9:3',
'test_pipeop_rowapply.R:6:3', 'test_pipeop_scale.R:6:3',
'test_pipeop_scale.R:10:3', 'test_pipeop_scalemaxabs.R:6:3',
'test_pipeop_scalerange.R:7:3', 'test_pipeop_select.R:9:3',
'test_pipeop_smote.R:10:3', 'test_pipeop_smotenc.R:8:3',
'test_pipeop_spatialsign.R:3:1', 'test_pipeop_splines.R:3:1',
'test_pipeop_subsample.R:6:3', 'test_pipeop_targetinvert.R:4:3',
'test_pipeop_targetmutate.R:5:3', 'test_pipeop_targettrafo.R:4:3',
'test_pipeop_targettrafoscalerange.R:5:3', 'test_pipeop_task_preproc.R:4:3',
'test_pipeop_task_preproc.R:14:3', 'test_pipeop_nmf.R:6:3',
'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',
'test_pipeop_tomek.R:7:3', 'test_pipeop_unbranch.R:10:3',
'test_pipeop_updatetarget.R:89:3', 'test_pipeop_vtreat.R:9:3',
'test_pipeop_yeojohnson.R:7:3', 'test_pipeop_tunethreshold.R:111:3',
'test_pipeop_tunethreshold.R:191:3', 'test_ppl.R:63:3',
'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.11.0
Check: examples
Result: ERROR
Running examples in ‘mlr3pipelines-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_pipeops_imputeconstant
> ### Title: Impute Features by a Constant
> ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant
>
> ### ** Examples
>
> library("mlr3")
>
> task = tsk("pima")
Error: Element with key 'pima' not found in DictionaryTask!
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [280s/175s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1]
> test_pipeop_blsmote.R: "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1]
> test_pipeop_blsmote.R: "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
> test_pipeop_isomap.R: 2026-08-23 18:35:42.936096: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:42.936907: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:42.964838: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:42.992057: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:43.065172: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:43.065867: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:43.074306: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:43.102809: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:43.142103: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:43.142774: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:43.157353: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:43.188583: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:43.192354: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:43.233122: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:43.236697: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:43.26433: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:43.295608: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:43.296499: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:43.431309: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:43.431745: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:43.446374: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:43.588898: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:43.647846: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:43.650377: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:43.694132: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:43.936869: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:44.037339: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:44.197322: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.197874: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:44.209795: calculating geodesic distances
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-23 18:35:44.237396: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:44.265003: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.265631: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:44.280899: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:44.311328: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:44.312221: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:44.515223: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.515703: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:44.543132: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:44.560393: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:44.614873: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.618196: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:44.636324: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:44.674236: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:44.675297: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:44.745902: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.74891: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:44.760266: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:44.777175: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:44.842501: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.845664: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:44.875674: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:44.91194: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:44.915708: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:44.99049: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:44.993396: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.004649: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.021683: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:45.069264: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:45.072419: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.090189: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.126022: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:45.139226: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:45.253523: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:45.253976: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.262942: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.279237: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:45.343807: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 18:35:45.344491: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.371657: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.41645: embedding
> test_pipeop_isomap.R: 2026-08-23 18:35:45.419495: DONE
> test_pipeop_isomap.R: 2026-08-23 18:35:45.570695: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:45.571144: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.597454: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.627743: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:45.768675: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:45.769185: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.791301: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.819292: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 18:35:45.861114: Isomap START
> test_pipeop_isomap.R: 2026-08-23 18:35:45.863335: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 18:35:45.881868: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 18:35:45.911302: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 9 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_dictionary.R:7:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_boxcox.R:7:3',
'test_pipeop_classweights.R:10:3', 'test_pipeop_colapply.R:9:3',
'test_pipeop_classweightsex.R:9:3', 'test_pipeop_collapsefactors.R:6:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_featureunion.R:9:3', 'test_pipeop_featureunion.R:134:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_isomap.R:10:3',
'test_pipeop_kernelpca.R:9:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',
'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',
'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',
'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',
'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',
'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',
'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',
'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',
'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',
'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',
'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',
'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',
'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',
'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_task_preproc.R:4:3',
'test_pipeop_task_preproc.R:14:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_ppl.R:63:3', 'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
[ FAIL 12 | WARN 9 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.11.0
Check: examples
Result: ERROR
Running examples in ‘mlr3pipelines-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_pipeops_imputeconstant
> ### Title: Impute Features by a Constant
> ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant
>
> ### ** Examples
>
> library("mlr3")
>
> task = tsk("pima")
Error: Element with key 'pima' not found in DictionaryTask!
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-windows-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [244s/157s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R:
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-21 18:44:32.280215: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:32.28102: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:32.31027: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:32.351499: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:32.456963: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:32.460272: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:32.480572: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:32.510363: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:32.563635: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:32.564272: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:32.609463: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:32.677616: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:32.682967: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:32.747489: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:32.747985: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:32.801705: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:32.873899: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:32.874948: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:33.022523: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:33.022897: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:33.051426: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:33.160376: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:33.186241: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:33.18682: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:33.220575: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:33.524668: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:33.529357: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:33.705241: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:33.706948: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:33.71608: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:33.730994: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:33.756629: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:33.757202: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:33.780219: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:33.81384: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:33.816012: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:33.982193: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:33.9826: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.000624: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:34.03072: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:34.111199: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:34.115021: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.160099: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:34.228177: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:34.229037: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:34.376777: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:34.377181: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.402762: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:34.43972: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:34.521502: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:34.522084: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.704669: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:34.760536: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:34.761504: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:34.817433: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:34.817816: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.825742: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:34.839233: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:34.87449: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:34.875058: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.88829: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:34.920478: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:34.921386: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:34.982734: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:34.983166: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:34.991789: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:35.008573: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:35.090379: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-21 18:44:35.090949: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:35.105812: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:35.140814: embedding
> test_pipeop_isomap.R: 2026-08-21 18:44:35.143239: DONE
> test_pipeop_isomap.R: 2026-08-21 18:44:35.288893: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:35.289286: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:35.30608: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:35.334344: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:35.469723: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:35.470113: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:35.486806: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:35.515256: Classical Scaling
> test_pipeop_isomap.R: 2026-08-21 18:44:35.559236: Isomap START
> test_pipeop_isomap.R: 2026-08-21 18:44:35.559644: constructing knn graph
> test_pipeop_isomap.R: 2026-08-21 18:44:35.59309: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-21 18:44:35.624324: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 9 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_dictionary.R:7:3', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_robustify.R:5:3', 'test_pipeop_adas.R:8:3',
'test_pipeop_blsmote.R:8:3', 'test_pipeop_boxcox.R:7:3',
'test_pipeop_chunk.R:4:3', 'test_pipeop_classbalancing.R:7:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_classweights.R:10:3',
'test_pipeop_colapply.R:9:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_collapsefactors.R:6:3', 'test_pipeop_copy.R:5:3',
'test_pipeop_colroles.R:6:3', 'test_pipeop_decode.R:14:3',
'test_pipeop_encode.R:21:3', 'test_pipeop_datefeatures.R:10:3',
'test_pipeop_encodeimpact.R:11:3', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodepl.R:5:3',
'test_pipeop_encodepl.R:72:3', 'test_pipeop_featureunion.R:9:3',
'test_pipeop_featureunion.R:134:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_histbin.R:7:3',
'test_pipeop_ica.R:7:3', 'test_pipeop_imputelearner.R:43:3',
'test_pipeop_info.R:3:1', 'test_pipeop_impute.R:4:3',
'test_pipeop_kernelpca.R:9:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_isomap.R:10:3', 'test_pipeop_learnerpicvplus.R:2:1',
'test_pipeop_learnercv.R:3:3', 'test_pipeop_learnercv.R:43:3',
'test_pipeop_learnercv.R:73:3', 'test_pipeop_learnercv.R:92:3',
'test_pipeop_learnercv.R:141:3', 'test_pipeop_learnercv.R:157:3',
'test_pipeop_learnercv.R:203:3', 'test_pipeop_learnercv.R:249:3',
'test_pipeop_learnercv.R:278:3', 'test_pipeop_learnercv.R:332:3',
'test_pipeop_learnercv.R:359:3', 'test_pipeop_learnercv.R:389:3',
'test_pipeop_learnercv.R:399:3', 'test_pipeop_learnercv.R:432:3',
'test_pipeop_learnercv.R:472:3', 'test_pipeop_learnercv.R:481:3',
'test_pipeop_learnercv.R:498:3', 'test_pipeop_learnercv.R:506:3',
'test_pipeop_learnercv.R:530:3', 'test_pipeop_learnercv.R:554:3',
'test_pipeop_learnercv.R:634:3', 'test_pipeop_learnercv.R:654:3',
'test_pipeop_learnercv.R:669:3', 'test_pipeop_learnercv.R:754:3',
'test_pipeop_learnercv.R:799:3', 'test_pipeop_learnercv.R:827:3',
'test_pipeop_modelmatrix.R:7:3', 'test_pipeop_multiplicityexply.R:9:3',
'test_pipeop_multiplicityimply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_ovr.R:9:3',
'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3', 'test_pipeop_proxy.R:2:1',
'test_pipeop_quantilebin.R:5:3', 'test_pipeop_randomprojection.R:6:3',
'test_pipeop_randomresponse.R:5:3', 'test_pipeop_removeconstants.R:6:3',
'test_pipeop_renamecolumns.R:6:3', 'test_pipeop_replicate.R:9:3',
'test_pipeop_rowapply.R:6:3', 'test_pipeop_scale.R:6:3',
'test_pipeop_scale.R:10:3', 'test_pipeop_scalemaxabs.R:6:3',
'test_pipeop_scalerange.R:7:3', 'test_pipeop_select.R:9:3',
'test_pipeop_smote.R:10:3', 'test_pipeop_smotenc.R:8:3',
'test_pipeop_spatialsign.R:3:1', 'test_pipeop_splines.R:3:1',
'test_pipeop_subsample.R:6:3', 'test_pipeop_targetinvert.R:4:3',
'test_pipeop_targetmutate.R:5:3', 'test_pipeop_targettrafo.R:4:3',
'test_pipeop_targettrafoscalerange.R:5:3', 'test_pipeop_task_preproc.R:4:3',
'test_pipeop_task_preproc.R:14:3', 'test_pipeop_textvectorizer.R:37:3',
'test_pipeop_textvectorizer.R:186:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_unbranch.R:10:3',
'test_pipeop_updatetarget.R:89:3', 'test_pipeop_vtreat.R:9:3',
'test_pipeop_yeojohnson.R:7:3', 'test_pipeop_tunethreshold.R:111:3',
'test_pipeop_tunethreshold.R:191:3', 'test_ppl.R:63:3',
'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
[ FAIL 12 | WARN 9 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [232s/112s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1]
> test_pipeop_blsmote.R: "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
> test_pipeop_isomap.R: 2026-08-22 14:15:27.395625: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:27.396246: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:27.406634: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:27.420862: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:27.456456: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:27.456847: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:27.46484: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:27.479741: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:27.500108: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:27.500686: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:27.522696: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:27.555879: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:27.556843: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:27.57652: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:27.576931: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:27.591071: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:27.626493: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:27.628477: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:27.695296: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:27.695674: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:27.718028: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:27.796223: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:27.821121: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:27.821672: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:27.855917: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.014763: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:28.016674: DONE
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-22 14:15:28.486175: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:28.486553: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:28.494635: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.510169: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:28.532605: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:28.533145: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:28.546647: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.579276: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:28.580152: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:28.680396: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:28.680772: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:28.690268: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.706524: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:28.739754: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:28.740285: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:28.755466: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.788399: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:28.789278: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:28.840638: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:28.841006: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:28.85002: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.86507: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:28.899897: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:28.900435: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:28.922965: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:28.956616: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:28.958561: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:29.010595: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.010952: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.018701: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.032556: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:29.064389: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.064936: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.078023: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.110968: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:29.111847: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:29.161714: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.162072: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.170051: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.184823: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:29.217459: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.218012: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.234274: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.268426: embedding
> test_pipeop_isomap.R: 2026-08-22 14:15:29.269323: DONE
> test_pipeop_isomap.R: 2026-08-22 14:15:29.326382: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.326755: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.334683: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.349199: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:29.41272: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.413067: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.421009: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.435993: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 14:15:29.452534: Isomap START
> test_pipeop_isomap.R: 2026-08-22 14:15:29.452894: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 14:15:29.460516: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 14:15:29.475204: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 9 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_dictionary.R:7:3',
'test_meta.R:39:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_boxcox.R:7:3', 'test_pipeop_classbalancing.R:7:3',
'test_pipeop_classweights.R:10:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_collapsefactors.R:6:3', 'test_pipeop_colapply.R:9:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_featureunion.R:9:3',
'test_pipeop_featureunion.R:134:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_kernelpca.R:9:3',
'test_pipeop_isomap.R:10:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_mutate.R:9:3', 'test_pipeop_nearmiss.R:7:3',
'test_pipeop_learnercv.R:3:3', 'test_pipeop_learnercv.R:43:3',
'test_pipeop_learnercv.R:73:3', 'test_pipeop_learnercv.R:92:3',
'test_pipeop_learnercv.R:141:3', 'test_pipeop_learnercv.R:157:3',
'test_pipeop_learnercv.R:203:3', 'test_pipeop_learnercv.R:249:3',
'test_pipeop_learnercv.R:278:3', 'test_pipeop_learnercv.R:332:3',
'test_pipeop_learnercv.R:359:3', 'test_pipeop_learnercv.R:389:3',
'test_pipeop_learnercv.R:399:3', 'test_pipeop_learnercv.R:432:3',
'test_pipeop_learnercv.R:472:3', 'test_pipeop_learnercv.R:481:3',
'test_pipeop_learnercv.R:498:3', 'test_pipeop_learnercv.R:506:3',
'test_pipeop_learnercv.R:530:3', 'test_pipeop_learnercv.R:554:3',
'test_pipeop_learnercv.R:634:3', 'test_pipeop_learnercv.R:654:3',
'test_pipeop_learnercv.R:669:3', 'test_pipeop_learnercv.R:754:3',
'test_pipeop_learnercv.R:799:3', 'test_pipeop_learnercv.R:827:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_textvectorizer.R:37:3',
'test_pipeop_textvectorizer.R:186:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_ppl.R:63:3', 'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
[ FAIL 12 | WARN 9 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.11.0
Check: examples
Result: ERROR
Running examples in 'mlr3pipelines-Ex.R' failed
The error most likely occurred in:
> ### Name: mlr_pipeops_imputeconstant
> ### Title: Impute Features by a Constant
> ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant
>
> ### ** Examples
>
> library("mlr3")
>
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set 'PimaIndiansDiabetes2' not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-windows-x86_64, r-release-windows-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running 'testthat.R' [172s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R:
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-18 21:26:39.075348: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:39.077008: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:39.09463: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:39.114387: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:39.16557: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:39.166502: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:39.174918: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:39.189989: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:39.224435: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:39.225824: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:39.24816: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:39.290276: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:39.292772: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:39.327655: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:39.328929: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:39.348829: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:39.390461: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:39.393343: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:39.493021: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:39.494317: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:39.513: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:39.611009: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:39.647305: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:39.64867: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:39.678972: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:39.88349: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:39.896422: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:40.082116: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.083589: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.098485: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.116571: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:40.154874: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.156098: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.175164: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.219275: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:40.221505: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:40.40421: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.405569: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.42111: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.443527: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:40.500158: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.501549: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.520836: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.564515: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:40.566558: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:40.640465: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.641708: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.653135: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.668026: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:40.726948: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.728364: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.755544: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.798697: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:40.80083: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:40.893796: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.895197: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.905574: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:40.923043: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:40.975728: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:40.976843: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:40.99172: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:41.039317: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:41.04215: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:41.155062: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:41.156286: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:41.169285: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:41.18784: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:41.238545: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-18 21:26:41.2396: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:41.257786: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:41.301424: embedding
> test_pipeop_isomap.R: 2026-08-18 21:26:41.303547: DONE
> test_pipeop_isomap.R: 2026-08-18 21:26:41.396781: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:41.397923: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:41.40971: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:41.427712: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:41.516076: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:41.517269: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:41.52748: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:41.5445: Classical Scaling
> test_pipeop_isomap.R: 2026-08-18 21:26:41.57259: Isomap START
> test_pipeop_isomap.R: 2026-08-18 21:26:41.573893: constructing knn graph
> test_pipeop_isomap.R: 2026-08-18 21:26:41.583237: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-18 21:26:41.599183: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_dictionary.R:7:3',
'test_meta.R:39:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_boxcox.R:7:3',
'test_pipeop_classweights.R:10:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_colapply.R:9:3', 'test_pipeop_collapsefactors.R:6:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_encodeimpact.R:11:3', 'test_pipeop_datefeatures.R:10:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_featureunion.R:9:3', 'test_pipeop_featureunion.R:134:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_kernelpca.R:9:3',
'test_pipeop_isomap.R:10:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',
'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',
'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',
'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',
'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',
'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',
'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',
'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',
'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',
'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',
'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',
'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',
'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',
'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_ppl.R:63:3', 'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.11.0
Check: examples
Result: ERROR
Running examples in ‘mlr3pipelines-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_pipeops_imputeconstant
> ### Title: Impute Features by a Constant
> ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant
>
> ### ** Examples
>
> library("mlr3")
>
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
mlr_graphs_ovr 4.204 0.137 5.543
Flavor: r-patched-linux-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [359s/186s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-12 18:24:16.918409: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:16.919316: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:16.934583: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:16.953714: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:17.026078: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:17.026637: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:17.038301: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:17.056968: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:17.089084: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:17.089908: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:17.110732: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:17.152917: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:17.154496: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:17.187533: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:17.188104: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:17.207717: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:17.249507: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:17.250908: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:17.361221: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:17.36181: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:17.395115: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:17.491959: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:17.536902: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:17.540073: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:17.571714: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:17.768295: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:17.771579: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:17.944504: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:17.945052: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:17.956189: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:17.975078: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:18.023891: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.024628: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.042325: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.086856: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:18.088165: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:18.247621: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.250128: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.261373: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.280103: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:18.335846: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.336654: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.356651: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.398822: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:18.400052: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:18.493217: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.493775: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.50737: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.52618: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:18.598762: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.599526: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.61727: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.658944: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:18.660219: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:18.754323: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.754869: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.766201: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.785159: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:18.844279: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:18.845037: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:18.862878: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:18.912369: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:18.914482: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:19.03027: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:19.030876: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:19.046997: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:19.065853: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:19.131783: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-12 18:24:19.132647: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:19.177646: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:19.219429: embedding
> test_pipeop_isomap.R: 2026-08-12 18:24:19.220777: DONE
> test_pipeop_isomap.R: 2026-08-12 18:24:19.325372: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:19.325915: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:19.336651: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:19.358253: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:19.455604: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:19.456149: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:19.467107: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:19.485575: Classical Scaling
> test_pipeop_isomap.R: 2026-08-12 18:24:19.515675: Isomap START
> test_pipeop_isomap.R: 2026-08-12 18:24:19.516207: constructing knn graph
> test_pipeop_isomap.R: 2026-08-12 18:24:19.526545: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-12 18:24:19.545336: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 12 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_dictionary.R:7:3', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_mlr_graphs_branching.R:26:3', 'test_mlr_graphs_bagging.R:6:3',
'test_mlr_graphs_robustify.R:5:3', 'test_pipeop_adas.R:8:3',
'test_pipeop_blsmote.R:8:3', 'test_pipeop_branch.R:4:3',
'test_pipeop_chunk.R:4:3', 'test_pipeop_boxcox.R:7:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_classweights.R:10:3',
'test_pipeop_classweightsex.R:9:3', 'test_pipeop_collapsefactors.R:6:3',
'test_pipeop_colapply.R:9:3', 'test_pipeop_copy.R:5:3',
'test_pipeop_colroles.R:6:3', 'test_pipeop_decode.R:14:3',
'test_pipeop_encode.R:21:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodepl.R:5:3',
'test_pipeop_encodepl.R:72:3', 'test_pipeop_ensemble.R:3:1',
'test_pipeop_encodelmer.R:15:3', 'test_pipeop_encodelmer.R:37:3',
'test_pipeop_encodelmer.R:80:3', 'test_pipeop_filter.R:7:3',
'test_pipeop_fixfactors.R:9:3', 'test_pipeop_histbin.R:7:3',
'test_pipeop_ica.R:7:3', 'test_pipeop_featureunion.R:9:3',
'test_pipeop_featureunion.R:134:3', 'test_pipeop_imputelearner.R:43:3',
'test_pipeop_info.R:3:1', 'test_pipeop_impute.R:4:3',
'test_pipeop_kernelpca.R:9:3', 'test_pipeop_isomap.R:10:3',
'test_pipeop_learner.R:17:3', 'test_pipeop_learnerpicvplus.R:2:1',
'test_pipeop_modelmatrix.R:7:3', 'test_pipeop_multiplicityexply.R:9:3',
'test_pipeop_learnercv.R:3:3', 'test_pipeop_learnercv.R:43:3',
'test_pipeop_learnercv.R:73:3', 'test_pipeop_learnercv.R:92:3',
'test_pipeop_learnercv.R:141:3', 'test_pipeop_learnercv.R:157:3',
'test_pipeop_learnercv.R:203:3', 'test_pipeop_learnercv.R:249:3',
'test_pipeop_learnercv.R:278:3', 'test_pipeop_learnercv.R:332:3',
'test_pipeop_learnercv.R:359:3', 'test_pipeop_learnercv.R:389:3',
'test_pipeop_learnercv.R:399:3', 'test_pipeop_learnercv.R:432:3',
'test_pipeop_learnercv.R:472:3', 'test_pipeop_learnercv.R:481:3',
'test_pipeop_learnercv.R:498:3', 'test_pipeop_learnercv.R:506:3',
'test_pipeop_learnercv.R:530:3', 'test_pipeop_learnercv.R:554:3',
'test_pipeop_learnercv.R:634:3', 'test_pipeop_learnercv.R:654:3',
'test_pipeop_learnercv.R:669:3', 'test_pipeop_learnercv.R:754:3',
'test_pipeop_learnercv.R:799:3', 'test_pipeop_learnercv.R:827:3',
'test_pipeop_mutate.R:9:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_ovr.R:9:3',
'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3', 'test_pipeop_proxy.R:2:1',
'test_pipeop_quantilebin.R:5:3', 'test_pipeop_randomprojection.R:6:3',
'test_pipeop_randomresponse.R:5:3', 'test_pipeop_removeconstants.R:6:3',
'test_pipeop_renamecolumns.R:6:3', 'test_pipeop_replicate.R:9:3',
'test_pipeop_rowapply.R:6:3', 'test_pipeop_scale.R:6:3',
'test_pipeop_scale.R:10:3', 'test_pipeop_scalemaxabs.R:6:3',
'test_pipeop_scalerange.R:7:3', 'test_pipeop_select.R:9:3',
'test_pipeop_smote.R:10:3', 'test_pipeop_smotenc.R:8:3',
'test_pipeop_spatialsign.R:3:1', 'test_pipeop_splines.R:3:1',
'test_pipeop_subsample.R:6:3', 'test_pipeop_targetinvert.R:4:3',
'test_pipeop_targetmutate.R:5:3', 'test_pipeop_targettrafo.R:4:3',
'test_pipeop_targettrafoscalerange.R:5:3', 'test_pipeop_task_preproc.R:4:3',
'test_pipeop_task_preproc.R:14:3', 'test_pipeop_nmf.R:6:3',
'test_pipeop_tomek.R:7:3', 'test_pipeop_textvectorizer.R:37:3',
'test_pipeop_textvectorizer.R:186:3', 'test_pipeop_unbranch.R:10:3',
'test_pipeop_updatetarget.R:89:3', 'test_pipeop_vtreat.R:9:3',
'test_pipeop_yeojohnson.R:7:3', 'test_pipeop_tunethreshold.R:111:3',
'test_pipeop_tunethreshold.R:191:3', 'test_ppl.R:63:3',
'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 12 | WARN 12 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.11.0
Check: examples
Result: ERROR
Running examples in ‘mlr3pipelines-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_pipeops_imputeconstant
> ### Title: Impute Features by a Constant
> ### Aliases: mlr_pipeops_imputeconstant PipeOpImputeConstant
>
> ### ** Examples
>
> library("mlr3")
>
> task = tsk("pima")
Error: Element with key 'pima' not found in DictionaryTask!
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
mlr_graphs_ovr 4.638 0.231 6.259
Flavor: r-release-linux-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [354s/178s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-22 18:25:45.59001: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:45.590747: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:45.603157: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:45.621347: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:45.677069: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:45.677511: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:45.688105: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:45.709777: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:45.73733: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:45.738056: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:45.755849: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:45.797698: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:45.798899: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:45.829075: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:45.829581: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:45.851988: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:45.893845: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:45.896767: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:45.992874: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:45.993362: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:46.025062: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:46.123279: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:46.161258: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:46.161896: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:46.192207: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:46.390103: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:46.394217: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:46.55232: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:46.552796: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:46.563462: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:46.582206: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:46.617868: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:46.618567: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:46.644109: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:46.687923: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:46.689121: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:46.838323: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:46.838845: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:46.849683: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:46.867695: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:46.918415: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:46.919131: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:46.936543: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:46.979227: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:46.98048: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:47.070085: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.070582: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.081572: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.100031: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:47.164275: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.165031: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.18289: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.225055: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:47.226284: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:47.310961: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.311471: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.323976: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.342875: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:47.398219: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.398978: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.416689: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.458994: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:47.46026: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:47.549953: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.550467: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.561895: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.582081: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:47.646665: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.648985: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.66701: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.709563: embedding
> test_pipeop_isomap.R: 2026-08-22 18:25:47.710891: DONE
> test_pipeop_isomap.R: 2026-08-22 18:25:47.812797: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.813314: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.826071: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.844703: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:47.941845: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:47.942377: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:47.954759: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:47.97341: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 18:25:48.000175: Isomap START
> test_pipeop_isomap.R: 2026-08-22 18:25:48.000672: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 18:25:48.010756: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 18:25:48.029268: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R:
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 0 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_dictionary.R:7:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_boxcox.R:7:3',
'test_pipeop_chunk.R:4:3', 'test_pipeop_classbalancing.R:7:3',
'test_pipeop_classweights.R:10:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_collapsefactors.R:6:3', 'test_pipeop_colapply.R:9:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_featureunion.R:9:3', 'test_pipeop_featureunion.R:134:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_kernelpca.R:9:3',
'test_pipeop_isomap.R:10:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',
'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',
'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',
'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',
'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',
'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',
'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',
'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',
'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',
'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',
'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',
'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',
'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',
'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_textvectorizer.R:37:3',
'test_pipeop_textvectorizer.R:186:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_ppl.R:63:3', 'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
[ FAIL 12 | WARN 0 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running 'testthat.R' [158s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R:
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
> test_pipeop_isomap.R: 2026-08-20 05:13:36.810629: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:36.811877: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:36.824381: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:36.840933: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:36.886582: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:36.887673: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:36.897107: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:36.912595: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:36.94182: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:36.942936: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:36.960195: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:36.997321: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:36.999189: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:37.02561: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:37.026641: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:37.135933: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:37.173829: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:37.175705: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:37.252443: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:37.253604: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:37.271695: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:37.350833: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:37.383526: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:37.384692: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:37.42175: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:37.580868: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:37.584062: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:37.713754: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:37.714767: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:37.723582: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:37.738582: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:37.767096: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:37.768207: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:37.792903: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:37.83208: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:37.833927: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:37.985139: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:37.986243: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:37.995944: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.011022: Classical Scaling
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-20 05:13:38.058833: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.060139: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.088569: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.119499: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:38.121108: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:38.205386: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.20647: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.216933: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.231057: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:38.266584: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.267548: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.278611: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.303813: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:38.304932: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:38.371092: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.372206: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.39604: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.414277: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:38.472781: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.473901: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.495221: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.544164: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:38.546602: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:38.630174: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.631294: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.643247: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.660577: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:38.72074: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.721921: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.750691: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.7933: embedding
> test_pipeop_isomap.R: 2026-08-20 05:13:38.795581: DONE
> test_pipeop_isomap.R: 2026-08-20 05:13:38.907495: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:38.90873: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:38.919808: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:38.938416: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:39.036211: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:39.037522: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:39.05015: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:39.069156: Classical Scaling
> test_pipeop_isomap.R: 2026-08-20 05:13:39.09026: Isomap START
> test_pipeop_isomap.R: 2026-08-20 05:13:39.091266: constructing knn graph
> test_pipeop_isomap.R: 2026-08-20 05:13:39.109421: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-20 05:13:39.125476: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 12 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_dictionary.R:7:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_classweights.R:10:3',
'test_pipeop_boxcox.R:7:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_colapply.R:9:3', 'test_pipeop_collapsefactors.R:6:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_featureunion.R:9:3',
'test_pipeop_featureunion.R:134:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_isomap.R:10:3',
'test_pipeop_kernelpca.R:9:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',
'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',
'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',
'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',
'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',
'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',
'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',
'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',
'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',
'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',
'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',
'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',
'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',
'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_multiplicityimply.R:9:3', 'test_pipeop_nearmiss.R:7:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_typecheck.R:188:3', 'test_ppl.R:63:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 12 | WARN 12 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-windows-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running 'testthat.R' [239s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ library("paradox")
+ library("mlr3pipelines")
+ test_check("mlr3pipelines")
+ }
Starting 2 test processes.
> test_Graph.R: Training debug.multi with input list(input_1 = 1, input_2 = 1)
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R:
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Training test_autotrain
> test_PipeOp.R: Predicting test_autotrain
Saving _problems/test_mlr_graphs_robustify-106.R
> test_multiplicities.R:
> test_multiplicities.R:
> test_multiplicities.R: [[1]]
> test_multiplicities.R: [1] 0
> test_multiplicities.R:
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1] "Borderline-SMOTE done"
Saving _problems/test_pipeop_classbalancing-13.R
Saving _problems/test_pipeop_classweights-17.R
Saving _problems/test_pipeop_classweights-36.R
Saving _problems/test_pipeop_imputelearner-7.R
Saving _problems/test_pipeop_imputelearner-138.R
> test_pipeop_isomap.R: 2026-08-22 11:16:31.993876: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:31.994863: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:32.015568: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:32.038239: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:32.113341: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:32.113967: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:32.129741: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:32.151505: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:32.188419: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:32.189352: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:32.218195: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:32.264442: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:32.266256: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:32.311927: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:32.312388: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:32.351736: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:32.401008: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:32.402449: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:32.539022: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:32.539467: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:32.558708: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:32.651816: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:32.708863: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:32.709846: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:32.764724: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:32.997201: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:33.002562: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:33.25182: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:33.25249: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:33.269294: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:33.28809: Classical Scaling
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-22 11:16:33.405999: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:33.40709: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:33.432537: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:33.481868: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:33.483522: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:33.688794: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:33.68951: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:33.7057: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:33.725359: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:33.805098: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:33.805736: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:33.829097: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:33.877562: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:33.894352: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:34.031447: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.032128: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.048216: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:34.070361: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:34.137357: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.13809: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.155652: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:34.19511: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:34.19672: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:34.316243: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.316892: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.331986: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:34.355299: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:34.448027: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.449126: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.475685: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:34.525404: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:34.527156: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:34.648269: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.648898: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.663663: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:34.685416: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:34.76281: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.763718: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.788031: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:34.837068: embedding
> test_pipeop_isomap.R: 2026-08-22 11:16:34.838992: DONE
> test_pipeop_isomap.R: 2026-08-22 11:16:34.980476: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:34.981132: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:34.996029: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:35.017256: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:35.139023: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:35.139651: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:35.154004: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:35.175661: Classical Scaling
> test_pipeop_isomap.R: 2026-08-22 11:16:35.216721: Isomap START
> test_pipeop_isomap.R: 2026-08-22 11:16:35.217407: constructing knn graph
> test_pipeop_isomap.R: 2026-08-22 11:16:35.232686: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-22 11:16:35.255714: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 0 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_meta.R:39:3',
'test_dictionary.R:7:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_boxcox.R:7:3', 'test_pipeop_classbalancing.R:7:3',
'test_pipeop_classweights.R:10:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_collapsefactors.R:6:3', 'test_pipeop_colapply.R:9:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_featureunion.R:9:3', 'test_pipeop_featureunion.R:134:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_isomap.R:10:3',
'test_pipeop_kernelpca.R:9:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',
'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',
'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',
'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',
'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',
'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',
'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',
'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',
'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',
'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',
'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',
'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',
'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',
'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_multiplicityimply.R:9:3', 'test_pipeop_nearmiss.R:7:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_typecheck.R:188:3', 'test_ppl.R:63:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
5. └─mlr3misc::stopf(...)
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
<Mlr3Error/error/condition>
Error: Element with key 'pima' not found in DictionaryTask!
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_retrieve_item(self, key, .dicts_suggest)
8. └─mlr3misc::stopf(...)
[ FAIL 12 | WARN 0 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-windows-x86_64