Last updated on 2026-08-25 10:53:19 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 | 24.23 | 451.67 | 475.90 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.11.0 | 29.00 | 471.66 | 500.66 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.11.0 | 24.00 | 421.68 | 445.68 | ERROR | |
| r-devel-windows-x86_64 | 0.11.0 | 40.00 | 492.00 | 532.00 | 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 | 37.00 | 475.00 | 512.00 | 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
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
mlr_graphs_ovr 3.408 0.083 5.345
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [270s/170s]
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_Graph.R:
> 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:
> 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]
> test_pipeop_blsmote.R: "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: 2026-08-24 18:33:19.081601: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:19.082278: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:19.095483: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:19.112064: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:19.152079: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:19.152494: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:19.163573: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:19.186272: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:19.220631: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:19.22122: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:19.248176: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:19.282308: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:19.283128: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:19.303904: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:19.304432: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:19.325547: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:19.397486: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:19.39874: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:19.495074: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:19.49552: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:19.530662: calculating geodesic distances
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-24 18:33:19.60383: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:19.680506: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:19.681278: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:19.794987: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:20.140894: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:20.147472: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:20.448869: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:20.449371: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:20.468306: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:20.498214: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:20.532442: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:20.534345: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:20.54963: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:20.582911: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:20.585354: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:20.71943: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:20.721107: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:20.730982: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:20.746549: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:20.78501: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:20.785638: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:20.799398: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:20.861978: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:20.862897: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:20.990146: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:20.990591: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.013172: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.039768: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:21.102011: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:21.102686: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.135961: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.223034: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:21.224462: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:21.369934: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:21.373244: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.392732: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.426451: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:21.46994: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:21.470576: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.498726: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.540618: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:21.541571: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:21.611727: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:21.612182: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.622408: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.639872: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:21.687774: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 18:33:21.689509: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.707279: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.747536: embedding
> test_pipeop_isomap.R: 2026-08-24 18:33:21.748665: DONE
> test_pipeop_isomap.R: 2026-08-24 18:33:21.935793: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:21.939149: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:21.949286: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:21.963275: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:22.044892: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:22.04536: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:22.056192: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:22.070374: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 18:33:22.111407: Isomap START
> test_pipeop_isomap.R: 2026-08-24 18:33:22.111855: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 18:33:22.121495: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 18:33:22.138314: 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:
> 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: 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:
> 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:
> 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_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_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_encodeimpact.R:11:3',
'test_pipeop_datefeatures.R:10:3', '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_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_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_ppl.R:63:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'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-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.11.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [280s/438s]
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:
> 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: Predicting test_autotrain
> test_PipeOp.R:
> 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:
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R: Predicting test_autotrain
> test_PipeOp.R:
> 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:
> 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]
> test_pipeop_blsmote.R: "Borderline-SMOTE done"
> 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"
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: 2026-08-24 08:10:47.333505: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:47.334156: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:47.362707: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:47.394295: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:47.482731: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:47.483125: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:47.50071: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:47.53032: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:47.575604: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:47.576185: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:47.608926: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:47.675955: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:47.679708: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:47.729251: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:47.729746: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:47.760184: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:47.826227: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:47.831346: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:47.98644: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:47.98684: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:48.037586: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:48.279979: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:48.382087: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:48.382684: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:48.461396: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:49.172907: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:49.18545: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:49.624318: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:49.624738: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:49.676074: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:49.725415: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:49.811248: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:49.811847: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:49.855787: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:49.969828: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:49.970752: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:50.51615: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:50.525223: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:50.56196: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:50.619685: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:50.790199: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:50.79946: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:50.857876: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:51.002286: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:51.003193: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:51.324864: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:51.3253: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:51.481932: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:51.564591: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:51.787885: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:51.793718: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:51.857211: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:52.024542: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:52.026481: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:52.377591: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:52.378043: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:52.406749: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:52.449455: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:52.592992: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:52.595845: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:52.64335: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:52.753355: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:52.756902: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:52.991632: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:52.992057: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:53.049597: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:53.098626: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:53.239071: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 08:10:53.239735: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:53.287689: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:53.393593: embedding
> test_pipeop_isomap.R: 2026-08-24 08:10:53.400094: DONE
> test_pipeop_isomap.R: 2026-08-24 08:10:53.640303: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:53.644794: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:53.669089: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:53.714485: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:54.021861: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:54.024254: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:54.059856: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:54.12249: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 08:10:54.221597: Isomap START
> test_pipeop_isomap.R: 2026-08-24 08:10:54.222019: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 08:10:54.542511: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 08:10:54.605064: 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:
> 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_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_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_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_blsmote.R:8:3', 'test_pipeop_adas.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_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_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 ──
<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’ [249s/141s]
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:
> 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: 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: Predicting test_autotrain
> test_PipeOp.R:
> 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]
> test_pipeop_blsmote.R: "Borderline-SMOTE done"
> test_pipeop_blsmote.R: [1]
> test_pipeop_blsmote.R: "Borderline-SMOTE done"
> test_pipeop_blsmote.R:
> 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: 2026-08-24 14:30:33.983439: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:33.986302: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:33.999527: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:34.016413: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:34.063309: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.063713: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.082673: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:34.103385: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:34.128749: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.12935: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.145916: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:34.179945: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:34.19066: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:34.214853: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.215266: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.23143: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:34.265489: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:34.267478: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:34.373098: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.373482: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.388428: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:34.472615: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:34.609433: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.61007: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.640636: calculating geodesic distances
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-24 14:30:34.801919: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:34.80555: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:34.920367: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.921916: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.932448: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:34.950031: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:34.980012: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:34.981699: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:34.996996: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.031305: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:35.032221: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:35.149316: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.149699: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.160959: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.176469: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:35.216447: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.217009: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.242651: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.278821: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:35.280825: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:35.350832: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.351209: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.362267: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.384421: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:35.421429: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.423137: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.438313: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.47293: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:35.476826: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:35.552284: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.55273: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.563104: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.579779: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:35.626123: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.626675: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.641602: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.68364: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:35.685219: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:35.756558: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.756952: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.766608: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.780849: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:35.832181: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.832915: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:35.87201: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:35.911467: embedding
> test_pipeop_isomap.R: 2026-08-24 14:30:35.912554: DONE
> test_pipeop_isomap.R: 2026-08-24 14:30:35.991828: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:35.993244: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:36.002953: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:36.021109: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:36.080576: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:36.080948: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:36.088904: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:36.104062: Classical Scaling
> test_pipeop_isomap.R: 2026-08-24 14:30:36.133458: Isomap START
> test_pipeop_isomap.R: 2026-08-24 14:30:36.134918: constructing knn graph
> test_pipeop_isomap.R: 2026-08-24 14:30:36.144574: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-24 14:30:36.170678: 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:
> 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_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_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_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_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_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_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_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 ──
<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: tests
Result: ERROR
Running 'testthat.R' [164s]
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:
> 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:
> 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: 2026-08-25 01:59:04.830084: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:04.831401: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:04.850498: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:04.871518: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:04.929933: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:04.931128: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:04.945692: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:04.96511: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:05.006462: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:05.007892: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:05.032266: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:05.083865: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:05.086495: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:05.126408: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:05.127598: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:05.146963: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:05.193579: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:05.19575: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:05.299171: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:05.300278: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:05.3233: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:05.441359: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:05.472122: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:05.473084: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:05.502606: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:05.695464: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:05.700471: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:05.87938: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:05.880445: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:05.90214: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:05.923677: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:05.971309: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:05.972663: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:05.994706: calculating geodesic distances
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-25 01:59:06.041607: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:06.043861: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:06.179236: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.179968: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.242835: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.260918: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:06.306609: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.307405: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.319397: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.350649: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:06.351792: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:06.427174: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.428218: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.439193: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.453195: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:06.504489: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.505902: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.526651: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.570873: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:06.573261: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:06.694848: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.696186: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.711244: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.730569: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:06.775605: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.776847: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.795905: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.835131: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:06.837466: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:06.934394: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:06.935593: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:06.949538: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:06.969093: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:07.022894: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-25 01:59:07.023822: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:07.046193: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:07.079444: embedding
> test_pipeop_isomap.R: 2026-08-25 01:59:07.080875: DONE
> test_pipeop_isomap.R: 2026-08-25 01:59:07.175537: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:07.176561: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:07.188374: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:07.207429: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:07.29373: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:07.294779: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:07.305857: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:07.325346: Classical Scaling
> test_pipeop_isomap.R: 2026-08-25 01:59:07.352721: Isomap START
> test_pipeop_isomap.R: 2026-08-25 01:59:07.35381: constructing knn graph
> test_pipeop_isomap.R: 2026-08-25 01:59:07.365525: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-25 01:59:07.384946: 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_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_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_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_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 9 | 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:
> 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: 2026-08-23 09:14:57.274443: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:57.27552: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:57.289942: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:57.305809: Classical Scaling
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-08-23 09:14:57.372139: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:57.373206: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:57.382269: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:57.398836: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:57.425703: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:57.426865: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:57.441082: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:57.46712: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:57.468685: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:57.488009: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:57.489091: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:57.504068: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:57.539313: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:57.541267: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:57.631836: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:57.632807: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:57.66014: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:57.740035: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:57.770859: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:57.771699: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:57.791737: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:57.947542: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:57.951442: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:58.106975: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.108006: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.117618: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.132969: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:58.166045: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.167293: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.18545: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.221302: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:58.223069: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:58.370994: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.372158: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.383573: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.398378: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:58.455468: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.456714: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.481095: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.513797: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:58.515378: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:58.586505: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.587419: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.595402: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.608304: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:58.650837: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.651922: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.665882: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.696745: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:58.698737: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:58.784861: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.785779: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.794587: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.809414: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:58.85724: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.858484: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.87327: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:58.904905: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:58.906494: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:58.977149: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:58.978167: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:58.987733: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:59.001413: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:59.046797: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-23 09:14:59.047615: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:59.06969: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:59.102233: embedding
> test_pipeop_isomap.R: 2026-08-23 09:14:59.103614: DONE
> test_pipeop_isomap.R: 2026-08-23 09:14:59.184165: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:59.185172: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:59.194014: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:59.206081: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:59.27425: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:59.275239: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:59.284812: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:59.300377: Classical Scaling
> test_pipeop_isomap.R: 2026-08-23 09:14:59.334938: Isomap START
> test_pipeop_isomap.R: 2026-08-23 09:14:59.336211: constructing knn graph
> test_pipeop_isomap.R: 2026-08-23 09:14:59.345351: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-23 09:14:59.36019: 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_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
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_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_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_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-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