- using R Under development (unstable) (2026-07-31 r90332)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-16 (Debian 16.1.0-3) 16.1.0
GNU Fortran (Debian 16.1.0-3) 16.1.0
- running under: Debian GNU/Linux forky/sid
- using session charset: UTF-8
* current time: 2026-08-01 16:12:59 UTC
- checking for file ‘mlr3pipelines/DESCRIPTION’ ... OK
- this is package ‘mlr3pipelines’ version ‘0.11.0’
- package encoding: UTF-8
- checking CRAN incoming feasibility ... [4s/6s] OK
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
- checking for executable files ... OK
- checking for hidden files and directories ... OK
- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking whether package ‘mlr3pipelines’ can be installed ... OK
See the install log for details.
- checking package directory ... OK
- checking for future file timestamps ... OK
- checking ‘build’ directory ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
- checking code files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... [1s/1s] OK
- checking whether the package can be loaded with stated dependencies ... [1s/1s] OK
- checking whether the package can be unloaded cleanly ... [1s/1s] OK
- checking whether the namespace can be loaded with stated dependencies ... [1s/1s] OK
- checking whether the namespace can be unloaded cleanly ... [1s/1s] OK
- checking loading without being on the library search path ... [1s/1s] OK
- checking whether startup messages can be suppressed ... [1s/1s] OK
- checking use of S3 registration ... OK
- checking dependencies in R code ... OK
- checking S3 generic/method consistency ... OK
- checking replacement functions ... OK
- checking foreign function calls ... OK
- checking R code for possible problems ... [62s/90s] NOTE
Found calls to structure() using deprecated special names:
mlr3pipelines/R/PipeOpFilter.R (.Names: 1)
'.Names' should be changed to 'names'.
- checking Rd files ... [3s/4s] OK
- checking Rd metadata ... OK
- checking Rd line widths ... OK
- checking Rd cross-references ... OK
- checking for missing documentation entries ... OK
- checking for code/documentation mismatches ... OK
- checking Rd \usage sections ... OK
- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking installed files from ‘inst/doc’ ... OK
- checking files in ‘vignettes’ ... OK
- checking examples ... [20s/27s] 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
- checking for unstated dependencies in ‘tests’ ... OK
- checking tests ... [248s/128s] ERROR
Running ‘testthat.R’ [247s/128s]
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: 2026-08-01 18:17:04.823385: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:04.823967: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:04.834024: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:04.846601: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:04.878896: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:04.879279: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:04.88607: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:04.898649: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:04.915439: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:04.915989: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:04.927577: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:04.956731: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:04.957626: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:04.974522: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:04.974965: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:04.998339: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.031415: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:05.032335: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:05.08892: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.089317: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.102055: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.17802: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:05.203636: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.204283: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.237412: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.409591: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:05.411627: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:05.579752: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.580252: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.591626: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.606184: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:05.631751: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.632324: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.645042: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.676657: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:05.677562: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:05.760319: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.760692: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.767602: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.779819: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:05.809135: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.809642: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.831048: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.863065: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:05.864145: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:05.923389: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.923775: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.93154: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:05.945164: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:05.982119: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:05.982703: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:05.995778: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.027831: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:06.028903: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:06.079775: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.080138: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.087986: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.102157: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:06.138354: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.138971: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.163734: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.198847: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:06.200042: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:06.260078: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.260495: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.269398: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.283887: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:06.320338: L-Isomap embed START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.320953: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.333937: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.366671: embedding
> test_pipeop_isomap.R: 2026-08-01 18:17:06.367643: DONE
> test_pipeop_isomap.R: 2026-08-01 18:17:06.438012: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.438532: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.44927: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.463328: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:06.524566: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.524992: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.534015: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.547892: Classical Scaling
> test_pipeop_isomap.R: 2026-08-01 18:17:06.567975: Isomap START
> test_pipeop_isomap.R: 2026-08-01 18:17:06.568399: constructing knn graph
> test_pipeop_isomap.R: 2026-08-01 18:17:06.576861: calculating geodesic distances
> test_pipeop_isomap.R: 2026-08-01 18:17:06.5905: Classical Scaling
Saving _problems/test_pipeop_missind-4.R
> test_pipeop_nmf.R: [PipeOpNMFstate]
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_task_preproc.R: Training debug_affectcols
> test_pipeop_nmf.R: [PipeOpNMFstate]
Saving _problems/test_pipeop_unbranch-21.R
Saving _problems/test_pipeop_tunethreshold-36.R
Saving _problems/test_pipeop_tunethreshold-73.R
Saving _problems/test_selector-6.R
[ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]
══ Skipped tests (128) ═════════════════════════════════════════════════════════
• On CRAN (125): 'test_CnfFormula_simplify.R:6:3', 'test_CnfFormula.R:591:3',
'test_Graph.R:283:3', 'test_PipeOp.R:32:1', 'test_GraphLearner.R:5:3',
'test_GraphLearner.R:221:3', 'test_GraphLearner.R:343:3',
'test_GraphLearner.R:408:3', 'test_GraphLearner.R:571:3',
'test_doublearrow.R:2:1', 'test_gunion.R:2:1',
'test_learner_weightedaverage.R:5:3', 'test_learner_weightedaverage.R:57:3',
'test_learner_weightedaverage.R:105:3',
'test_learner_weightedaverage.R:152:3', 'test_dictionary.R:7:3',
'test_meta.R:39:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_classweights.R:10:3',
'test_pipeop_boxcox.R:7:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_colapply.R:9:3', 'test_pipeop_collapsefactors.R:6:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_ica.R:7:3',
'test_pipeop_featureunion.R:9:3', 'test_pipeop_featureunion.R:134:3',
'test_pipeop_imputelearner.R:43:3', 'test_pipeop_info.R:3:1',
'test_pipeop_impute.R:4:3', 'test_pipeop_kernelpca.R:9:3',
'test_pipeop_isomap.R:10:3', 'test_pipeop_learner.R:17:3',
'test_pipeop_learnerpicvplus.R:2:1', 'test_pipeop_learnercv.R:3:3',
'test_pipeop_learnercv.R:43:3', 'test_pipeop_learnercv.R:73:3',
'test_pipeop_learnercv.R:92:3', 'test_pipeop_learnercv.R:141:3',
'test_pipeop_learnercv.R:157:3', 'test_pipeop_learnercv.R:203:3',
'test_pipeop_learnercv.R:249:3', 'test_pipeop_learnercv.R:278:3',
'test_pipeop_learnercv.R:332:3', 'test_pipeop_learnercv.R:359:3',
'test_pipeop_learnercv.R:389:3', 'test_pipeop_learnercv.R:399:3',
'test_pipeop_learnercv.R:432:3', 'test_pipeop_learnercv.R:472:3',
'test_pipeop_learnercv.R:481:3', 'test_pipeop_learnercv.R:498:3',
'test_pipeop_learnercv.R:506:3', 'test_pipeop_learnercv.R:530:3',
'test_pipeop_learnercv.R:554:3', 'test_pipeop_learnercv.R:634:3',
'test_pipeop_learnercv.R:654:3', 'test_pipeop_learnercv.R:669:3',
'test_pipeop_learnercv.R:754:3', 'test_pipeop_learnercv.R:799:3',
'test_pipeop_learnercv.R:827:3', 'test_pipeop_modelmatrix.R:7:3',
'test_pipeop_multiplicityexply.R:9:3', 'test_pipeop_mutate.R:9:3',
'test_pipeop_nearmiss.R:7:3', 'test_pipeop_multiplicityimply.R:9:3',
'test_pipeop_ovr.R:9:3', 'test_pipeop_ovr.R:48:3', 'test_pipeop_pca.R:8:3',
'test_pipeop_proxy.R:2:1', 'test_pipeop_quantilebin.R:5:3',
'test_pipeop_randomprojection.R:6:3', 'test_pipeop_randomresponse.R:5:3',
'test_pipeop_removeconstants.R:6:3', 'test_pipeop_renamecolumns.R:6:3',
'test_pipeop_replicate.R:9:3', 'test_pipeop_rowapply.R:6:3',
'test_pipeop_scale.R:6:3', 'test_pipeop_scale.R:10:3',
'test_pipeop_scalemaxabs.R:6:3', 'test_pipeop_scalerange.R:7:3',
'test_pipeop_select.R:9:3', 'test_pipeop_smote.R:10:3',
'test_pipeop_smotenc.R:8:3', 'test_pipeop_spatialsign.R:3:1',
'test_pipeop_splines.R:3:1', 'test_pipeop_subsample.R:6:3',
'test_pipeop_targetinvert.R:4:3', 'test_pipeop_targetmutate.R:5:3',
'test_pipeop_targettrafo.R:4:3', 'test_pipeop_targettrafoscalerange.R:5:3',
'test_pipeop_task_preproc.R:4:3', 'test_pipeop_task_preproc.R:14:3',
'test_pipeop_nmf.R:6:3', 'test_pipeop_tomek.R:7:3',
'test_pipeop_textvectorizer.R:37:3', 'test_pipeop_textvectorizer.R:186:3',
'test_pipeop_unbranch.R:10:3', 'test_pipeop_updatetarget.R:89:3',
'test_pipeop_vtreat.R:9:3', 'test_pipeop_yeojohnson.R:7:3',
'test_pipeop_tunethreshold.R:111:3', 'test_pipeop_tunethreshold.R:191:3',
'test_ppl.R:63:3', 'test_typecheck.R:188:3'
• Skipping (1): 'test_GraphLearner.R:1278:3'
• empty test (2): 'test_pipeop_isomap.R:111:1', 'test_pipeop_missind.R:101:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_mlr_graphs_robustify.R:106:3'): Robustify Pipeline Impute Missings ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_graphs_robustify.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classbalancing.R:13:3'): PipeOpClassBalancing ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classbalancing.R:13:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:17:3'): PipeOpClassWeights ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_classweights.R:17:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_classweights.R:36:5'): PipeOpClassWeights - weight roles assigned ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_classweights.R:36:5
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:7:3'): PipeOpImputeLearner - simple tests ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:7:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_imputelearner.R:138:3'): PipeOpImputeLearner - model active binding to state ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_imputelearner.R:138:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_impute.R:452:3'): impute, test rows and affect_columns ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_impute.R:452:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_missind.R:4:3'): PipeOpMissInd ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_missind.R:4:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_unbranch.R:21:3'): PipeOpUnbranch - train and predict ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr_tasks$get("pima") at test_pipeop_unbranch.R:21:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:36:3'): threshold works for binary ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_pipeop_tunethreshold.R:36:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_pipeop_tunethreshold.R:73:3'): tunethreshold graph works ───────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─graph$train(tsk("pima")) at test_pipeop_tunethreshold.R:73:3
2. │ └─mlr3pipelines:::.__Graph__train(...)
3. │ └─mlr3pipelines:::graph_reduce(self, input, "train", single_input)
4. └─mlr3::tsk("pima")
5. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_selector.R:6:3'): Selectors work ───────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::mlr_tasks$get("pima") at test_selector.R:6:3
2. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
3. │ └─base::eval.parent(expr, n = 1L)
4. │ └─base::eval(expr, p)
5. │ └─base::eval(expr, p)
6. └─mlr3misc:::dictionary_get(self = self, key = key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor, cargs)
9. └─mlr3 (local) `<fn>`()
10. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 12 | WARN 21 | SKIP 128 | PASS 8462 ]
Error:
! Test failures.
Execution halted
- checking for unstated dependencies in vignettes ... OK
- checking package vignettes ... OK
- checking re-building of vignette outputs ... [4s/5s] OK
- checking PDF version of manual ... [21s/27s] OK
- checking HTML version of manual ... [19s/30s] OK
- checking for non-standard things in the check directory ... OK
- checking for new files in some other directories ... NOTE
Found the following files/directories:
‘~/tmp/scratch/Rtmp01PtFB’ ‘~/tmp/scratch/Rtmp0aRoSL’
‘~/tmp/scratch/Rtmp0bt4ep’ ‘~/tmp/scratch/Rtmp0fjpGF’
‘~/tmp/scratch/Rtmp1NMOj3’ ‘~/tmp/scratch/Rtmp1RYuHt’
‘~/tmp/scratch/Rtmp1f6lzB’ ‘~/tmp/scratch/Rtmp2XWFs3’
‘~/tmp/scratch/Rtmp30rk0g’ ‘~/tmp/scratch/Rtmp3B7h0a’
‘~/tmp/scratch/Rtmp3G61bf’ ‘~/tmp/scratch/Rtmp3U35q3’
‘~/tmp/scratch/Rtmp3fJKvP’ ‘~/tmp/scratch/Rtmp3msGR8’
‘~/tmp/scratch/Rtmp3rbRpO’ ‘~/tmp/scratch/Rtmp5830Ti’
‘~/tmp/scratch/Rtmp5KMuew’ ‘~/tmp/scratch/Rtmp6tAhsq’
‘~/tmp/scratch/Rtmp7ZbjaH’ ‘~/tmp/scratch/Rtmp7viRTf’
‘~/tmp/scratch/Rtmp9yUNlX’ ‘~/tmp/scratch/RtmpA8G14F’
‘~/tmp/scratch/RtmpAK6cSb’ ‘~/tmp/scratch/RtmpAMfird’
‘~/tmp/scratch/RtmpAkhdYF’ ‘~/tmp/scratch/RtmpApgHW9’
‘~/tmp/scratch/RtmpBLGUEw’ ‘~/tmp/scratch/RtmpBj2G2t’
‘~/tmp/scratch/RtmpCXytnS’ ‘~/tmp/scratch/RtmpCu7D7e’
‘~/tmp/scratch/RtmpDaCoKm’ ‘~/tmp/scratch/RtmpDbgqUU’
‘~/tmp/scratch/RtmpE3K5WY’ ‘~/tmp/scratch/RtmpEAcO2D’
‘~/tmp/scratch/RtmpEEweRw’ ‘~/tmp/scratch/RtmpF9X5ta’
‘~/tmp/scratch/RtmpFbiHxQ’ ‘~/tmp/scratch/RtmpFcvg6T’
‘~/tmp/scratch/RtmpFgok87’ ‘~/tmp/scratch/RtmpFm4iMN’
‘~/tmp/scratch/RtmpG5sbsO’ ‘~/tmp/scratch/RtmpH1ck6d’
‘~/tmp/scratch/RtmpHdomG0’ ‘~/tmp/scratch/RtmpHq7R9z’
‘~/tmp/scratch/RtmpI24Gmm’ ‘~/tmp/scratch/RtmpIgXrCb’
‘~/tmp/scratch/RtmpImHV8w’ ‘~/tmp/scratch/RtmpJ70zR3’
‘~/tmp/scratch/RtmpJCAT8i’ ‘~/tmp/scratch/RtmpJRINhp’
‘~/tmp/scratch/RtmpJeZTrU’ ‘~/tmp/scratch/RtmpJlp0Wx’
‘~/tmp/scratch/RtmpJp8UX6’ ‘~/tmp/scratch/RtmpKRJoaj’
‘~/tmp/scratch/RtmpKd1NFu’ ‘~/tmp/scratch/RtmpLbHZ3U’
‘~/tmp/scratch/RtmpLwVuJ2’ ‘~/tmp/scratch/RtmpMDSIYL’
‘~/tmp/scratch/RtmpMVznlj’ ‘~/tmp/scratch/RtmpNOFNws’
‘~/tmp/scratch/RtmpO3wads’ ‘~/tmp/scratch/RtmpPK8Hk0’
‘~/tmp/scratch/RtmpRXHNBt’ ‘~/tmp/scratch/RtmpRbEKVM’
‘~/tmp/scratch/RtmpRujgH8’ ‘~/tmp/scratch/RtmpSfX1nK’
‘~/tmp/scratch/RtmpTHxcXz’ ‘~/tmp/scratch/RtmpTMUT1Y’
‘~/tmp/scratch/RtmpU8VndA’ ‘~/tmp/scratch/RtmpUQlaFh’
‘~/tmp/scratch/RtmpUnZjxQ’ ‘~/tmp/scratch/RtmpUpMjwa’
‘~/tmp/scratch/RtmpUsSzQJ’ ‘~/tmp/scratch/RtmpUtVRhB’
‘~/tmp/scratch/RtmpVQP3vd’ ‘~/tmp/scratch/RtmpVWtMWM’
‘~/tmp/scratch/RtmpVgS140’ ‘~/tmp/scratch/RtmpW4CEly’
‘~/tmp/scratch/RtmpW996Hf’ ‘~/tmp/scratch/RtmpWezNEI’
‘~/tmp/scratch/RtmpWlKFYC’ ‘~/tmp/scratch/RtmpXvjHuO’
‘~/tmp/scratch/RtmpYjSnjS’ ‘~/tmp/scratch/RtmpYyeQNf’
‘~/tmp/scratch/RtmpZ4y8QG’ ‘~/tmp/scratch/RtmpZCKeF4’
‘~/tmp/scratch/RtmpZK2nZW’ ‘~/tmp/scratch/RtmpZhyFAF’
‘~/tmp/scratch/Rtmpa3EHiH’ ‘~/tmp/scratch/RtmpaAuW0M’
‘~/tmp/scratch/RtmpaWBDeq’ ‘~/tmp/scratch/RtmpbQ1evG’
‘~/tmp/scratch/RtmpbTZGcw’ ‘~/tmp/scratch/Rtmpc9pykH’
‘~/tmp/scratch/RtmpcTsXc9’ ‘~/tmp/scratch/RtmpcUuUx1’
‘~/tmp/scratch/RtmpcV53AE’ ‘~/tmp/scratch/RtmpcXhW97’
‘~/tmp/scratch/RtmpccXPNq’ ‘~/tmp/scratch/RtmpcmVlQB’
‘~/tmp/scratch/RtmpdUygtW’ ‘~/tmp/scratch/Rtmpe5vpBR’
‘~/tmp/scratch/RtmpePrPXX’ ‘~/tmp/scratch/RtmpeXQw8M’
‘~/tmp/scratch/RtmpebHgyN’ ‘~/tmp/scratch/Rtmpf0txA1’
‘~/tmp/scratch/Rtmpf2NqNG’ ‘~/tmp/scratch/Rtmpf2c8IP’
‘~/tmp/scratch/RtmpfP3AST’ ‘~/tmp/scratch/RtmpfSYG3a’
‘~/tmp/scratch/RtmpgGxHT7’ ‘~/tmp/scratch/RtmphVYNR6’
‘~/tmp/scratch/RtmphwXegI’ ‘~/tmp/scratch/Rtmphzzd2y’
‘~/tmp/scratch/Rtmpi8ty0d’ ‘~/tmp/scratch/RtmpiID6DN’
‘~/tmp/scratch/RtmpiU0YnU’ ‘~/tmp/scratch/RtmpincObM’
‘~/tmp/scratch/RtmpjqvOJg’ ‘~/tmp/scratch/Rtmpkh9wrd’
‘~/tmp/scratch/RtmpkkD9iz’ ‘~/tmp/scratch/RtmplGmtWQ’
‘~/tmp/scratch/RtmplIh9AX’ ‘~/tmp/scratch/RtmplOX0kg’
‘~/tmp/scratch/RtmplVoVpY’ ‘~/tmp/scratch/RtmplXgORA’
‘~/tmp/scratch/Rtmplh6fbr’ ‘~/tmp/scratch/RtmplsFKmh’
‘~/tmp/scratch/RtmpmCA0M8’ ‘~/tmp/scratch/RtmpmDdrho’
‘~/tmp/scratch/RtmpmMbqUS’ ‘~/tmp/scratch/RtmpmTRHHM’
‘~/tmp/scratch/RtmpmZYemV’ ‘~/tmp/scratch/Rtmpn12Q7E’
‘~/tmp/scratch/Rtmpn2BKml’ ‘~/tmp/scratch/Rtmpn63eTm’
‘~/tmp/scratch/RtmpnPYNh5’ ‘~/tmp/scratch/RtmpngxMoe’
‘~/tmp/scratch/Rtmpnn7i5T’ ‘~/tmp/scratch/RtmpoXXh99’
‘~/tmp/scratch/RtmpoY3dn1’ ‘~/tmp/scratch/RtmpokZriE’
‘~/tmp/scratch/RtmpolAtj9’ ‘~/tmp/scratch/RtmppGaOKn’
‘~/tmp/scratch/RtmppU6tWh’ ‘~/tmp/scratch/Rtmppir4jc’
‘~/tmp/scratch/Rtmpq6Uz55’ ‘~/tmp/scratch/RtmpqCPD6G’
‘~/tmp/scratch/Rtmpqe39JX’ ‘~/tmp/scratch/RtmpqsEhnD’
‘~/tmp/scratch/Rtmpr1Hhjd’ ‘~/tmp/scratch/Rtmpr1U9Hq’
‘~/tmp/scratch/RtmprGqTgi’ ‘~/tmp/scratch/Rtmprag8Rh’
‘~/tmp/scratch/RtmprnLE4s’ ‘~/tmp/scratch/RtmprqFiff’
‘~/tmp/scratch/RtmprxczRt’ ‘~/tmp/scratch/Rtmps9Rpm0’
‘~/tmp/scratch/RtmpsPcP2W’ ‘~/tmp/scratch/Rtmpsn05bz’
‘~/tmp/scratch/RtmptAhOBF’ ‘~/tmp/scratch/RtmptShXDL’
‘~/tmp/scratch/RtmptqhUdI’ ‘~/tmp/scratch/RtmpuBgrCo’
‘~/tmp/scratch/RtmpuN5Vpr’ ‘~/tmp/scratch/RtmpuqSeT3’
‘~/tmp/scratch/RtmputeEqF’ ‘~/tmp/scratch/RtmpvLLt28’
‘~/tmp/scratch/RtmpvTn3Xc’ ‘~/tmp/scratch/Rtmpvb1p0u’
‘~/tmp/scratch/RtmpvbAeAP’ ‘~/tmp/scratch/RtmpvdlKjP’
‘~/tmp/scratch/RtmpwQH7Sc’ ‘~/tmp/scratch/RtmpwqXC1N’
‘~/tmp/scratch/Rtmpx1DLdb’ ‘~/tmp/scratch/RtmpxR8CAW’
‘~/tmp/scratch/RtmpyZMPq4’ ‘~/tmp/scratch/RtmpylPrNW’
‘~/tmp/scratch/RtmpyxLYqR’ ‘~/tmp/scratch/Rtmpz0IUqz’
‘~/tmp/scratch/Rtmpz1T6cn’ ‘~/tmp/scratch/Rtmpz4q5Xe’
‘~/tmp/scratch/RtmpzIzMXl’ ‘~/tmp/scratch/Rtmpztv6Vv’
‘~/tmp/scratch/xvfb-run.2IEy9y’ ‘~/tmp/scratch/xvfb-run.2oUGAW’
‘~/tmp/scratch/xvfb-run.3Owvzu’ ‘~/tmp/scratch/xvfb-run.3sYdRp’
‘~/tmp/scratch/xvfb-run.40pg11’ ‘~/tmp/scratch/xvfb-run.52wIn4’
‘~/tmp/scratch/xvfb-run.5BCFc0’ ‘~/tmp/scratch/xvfb-run.6Hdc1j’
‘~/tmp/scratch/xvfb-run.76gx99’ ‘~/tmp/scratch/xvfb-run.78JZcO’
‘~/tmp/scratch/xvfb-run.8jjckd’ ‘~/tmp/scratch/xvfb-run.9q10dH’
‘~/tmp/scratch/xvfb-run.BAgO5i’ ‘~/tmp/scratch/xvfb-run.BouMAu’
‘~/tmp/scratch/xvfb-run.C4qB4m’ ‘~/tmp/scratch/xvfb-run.CJLvAy’
‘~/tmp/scratch/xvfb-run.D9AnX5’ ‘~/tmp/scratch/xvfb-run.EA40yI’
‘~/tmp/scratch/xvfb-run.EEMz2y’ ‘~/tmp/scratch/xvfb-run.FHsjYJ’
‘~/tmp/scratch/xvfb-run.J21vd6’ ‘~/tmp/scratch/xvfb-run.JIBMmP’
‘~/tmp/scratch/xvfb-run.KQPSTX’ ‘~/tmp/scratch/xvfb-run.KUQxil’
‘~/tmp/scratch/xvfb-run.Llwov4’ ‘~/tmp/scratch/xvfb-run.NM1y57’
‘~/tmp/scratch/xvfb-run.OSiiOJ’ ‘~/tmp/scratch/xvfb-run.OxHkVZ’
‘~/tmp/scratch/xvfb-run.Q7WOYC’ ‘~/tmp/scratch/xvfb-run.Qa0qXU’
‘~/tmp/scratch/xvfb-run.Qi31zd’ ‘~/tmp/scratch/xvfb-run.RGPTYq’
‘~/tmp/scratch/xvfb-run.RVIFNC’ ‘~/tmp/scratch/xvfb-run.Rpiba7’
‘~/tmp/scratch/xvfb-run.StAdmf’ ‘~/tmp/scratch/xvfb-run.StxN4m’
‘~/tmp/scratch/xvfb-run.TyOg8g’ ‘~/tmp/scratch/xvfb-run.UZZkxG’
‘~/tmp/scratch/xvfb-run.Ucldu2’ ‘~/tmp/scratch/xvfb-run.VrtlgJ’
‘~/tmp/scratch/xvfb-run.ZAmI85’ ‘~/tmp/scratch/xvfb-run.ZGN2qU’
‘~/tmp/scratch/xvfb-run.ZJgngl’ ‘~/tmp/scratch/xvfb-run.ZlELjC’
‘~/tmp/scratch/xvfb-run.Znprmy’ ‘~/tmp/scratch/xvfb-run.a5KacD’
‘~/tmp/scratch/xvfb-run.bmE6CI’ ‘~/tmp/scratch/xvfb-run.c7cMTl’
‘~/tmp/scratch/xvfb-run.d4xvgM’ ‘~/tmp/scratch/xvfb-run.eTpko6’
‘~/tmp/scratch/xvfb-run.gl1auE’ ‘~/tmp/scratch/xvfb-run.hg2S2x’
‘~/tmp/scratch/xvfb-run.itzHZ8’ ‘~/tmp/scratch/xvfb-run.k0pNQ6’
‘~/tmp/scratch/xvfb-run.kVELAe’ ‘~/tmp/scratch/xvfb-run.kdJibc’
‘~/tmp/scratch/xvfb-run.l9gu8i’ ‘~/tmp/scratch/xvfb-run.lYcL2l’
‘~/tmp/scratch/xvfb-run.niwWyL’ ‘~/tmp/scratch/xvfb-run.nr9ZHs’
‘~/tmp/scratch/xvfb-run.oCjWVd’ ‘~/tmp/scratch/xvfb-run.oEYwvC’
‘~/tmp/scratch/xvfb-run.pigJGi’ ‘~/tmp/scratch/xvfb-run.qbt9JJ’
‘~/tmp/scratch/xvfb-run.rRQmvI’ ‘~/tmp/scratch/xvfb-run.rzoMMv’
‘~/tmp/scratch/xvfb-run.s8lcSm’ ‘~/tmp/scratch/xvfb-run.uRXG03’
‘~/tmp/scratch/xvfb-run.wErvEU’ ‘~/tmp/scratch/xvfb-run.wr3BKC’
‘~/tmp/scratch/xvfb-run.wwSxDT’ ‘~/tmp/scratch/xvfb-run.x9gUlX’
‘~/tmp/scratch/xvfb-run.xRu3gb’ ‘~/tmp/scratch/xvfb-run.yiAYoB’
‘~/tmp/scratch/xvfb-run.ywz0aT’ ‘~/tmp/scratch/xvfb-run.zBxVkC’
‘/dev/shm/sm_segment.gimli1.1001.90840000.0’
‘~/.cache/pocl/uncached/tempfile_Jzwif0’
- DONE
Status: 2 ERRORs, 2 NOTEs