- using R Under development (unstable) (2026-07-30 r90327)
- 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: 2026-07-31 16:12:34 UTC
- checking for file ‘mlr3pipelines/DESCRIPTION’ ... OK
- this is package ‘mlr3pipelines’ version ‘0.11.0’
- package encoding: UTF-8
- checking CRAN incoming feasibility ... [4s/4s] 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 ... [60s/65s] NOTE
Found calls to structure() using deprecated special names:
mlr3pipelines/R/PipeOpFilter.R (.Names: 1)
'.Names' should be changed to 'names'.
- checking Rd files ... [2s/2s] 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 ... [19s/19s] 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 ... [245s/123s] ERROR
Running ‘testthat.R’ [244s/122s]
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
> test_pipeop_isomap.R: 2026-07-31 18:15:55.186619: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.187329: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.199872: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:55.214074: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:55.259024: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.259483: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.267781: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:55.28195: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:55.302849: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.303589: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.317304: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:55.35125: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:55.352203: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:55.382599: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.383052: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.395851: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:55.428631: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:55.429554: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:55.495564: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.496009: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.510968: calculating geodesic distances
Saving _problems/test_pipeop_impute-452.R
> test_pipeop_isomap.R: 2026-07-31 18:15:55.587652: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:55.614345: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.614988: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.648067: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:55.821747: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:55.82382: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:55.943385: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.943842: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:55.954735: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:55.969324: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:55.995919: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:55.996538: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.011164: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.043664: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:56.044696: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:56.227737: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.229384: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.237801: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.251816: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:56.287509: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.288105: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.301341: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.334038: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:56.334926: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:56.396123: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.396538: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.405323: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.419731: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:56.459838: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.460457: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.486276: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.519671: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:56.520939: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:56.588886: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.589314: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.598287: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.612461: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:56.651537: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.652144: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.666458: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.699927: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:56.700942: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:56.761739: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.76218: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.770796: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.786078: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:56.824316: L-Isomap embed START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.824971: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.852147: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.88818: embedding
> test_pipeop_isomap.R: 2026-07-31 18:15:56.88962: DONE
> test_pipeop_isomap.R: 2026-07-31 18:15:56.95943: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:56.959816: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:56.967759: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:56.981255: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:57.039847: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:57.040284: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:57.048797: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:57.062023: Classical Scaling
> test_pipeop_isomap.R: 2026-07-31 18:15:57.081495: Isomap START
> test_pipeop_isomap.R: 2026-07-31 18:15:57.081932: constructing knn graph
> test_pipeop_isomap.R: 2026-07-31 18:15:57.090138: calculating geodesic distances
> test_pipeop_isomap.R: 2026-07-31 18:15:57.104339: 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_meta.R:39:3',
'test_dictionary.R:7:3', 'test_mlr_graphs_branching.R:26:3',
'test_mlr_graphs_bagging.R:6:3', 'test_mlr_graphs_robustify.R:5:3',
'test_pipeop_adas.R:8:3', 'test_pipeop_blsmote.R:8:3',
'test_pipeop_branch.R:4:3', 'test_pipeop_chunk.R:4:3',
'test_pipeop_classbalancing.R:7:3', 'test_pipeop_classweights.R:10:3',
'test_pipeop_boxcox.R:7:3', 'test_pipeop_classweightsex.R:9:3',
'test_pipeop_colapply.R:9:3', 'test_pipeop_collapsefactors.R:6:3',
'test_pipeop_copy.R:5:3', 'test_pipeop_colroles.R:6:3',
'test_pipeop_decode.R:14:3', 'test_pipeop_encode.R:21:3',
'test_pipeop_datefeatures.R:10:3', 'test_pipeop_encodeimpact.R:11:3',
'test_pipeop_encodepl.R:5:3', 'test_pipeop_encodepl.R:72:3',
'test_pipeop_ensemble.R:3:1', 'test_pipeop_encodelmer.R:15:3',
'test_pipeop_encodelmer.R:37:3', 'test_pipeop_encodelmer.R:80:3',
'test_pipeop_filter.R:7:3', 'test_pipeop_fixfactors.R:9:3',
'test_pipeop_histbin.R:7:3', 'test_pipeop_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 ... [23s/30s] OK
- checking HTML version of manual ... [18s/27s] 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/Rtmp0AwI2t’ ‘~/tmp/scratch/Rtmp0KOj56’
‘~/tmp/scratch/Rtmp1FYzWq’ ‘~/tmp/scratch/Rtmp1Fgphp’
‘~/tmp/scratch/Rtmp1deNVg’ ‘~/tmp/scratch/Rtmp1mqExQ’
‘~/tmp/scratch/Rtmp2MD56L’ ‘~/tmp/scratch/Rtmp3RhDIo’
‘~/tmp/scratch/Rtmp3e8zNS’ ‘~/tmp/scratch/Rtmp3jRC2m’
‘~/tmp/scratch/Rtmp3m94RD’ ‘~/tmp/scratch/Rtmp40hwRQ’
‘~/tmp/scratch/Rtmp4AiiLI’ ‘~/tmp/scratch/Rtmp4NQzY6’
‘~/tmp/scratch/Rtmp54dclZ’ ‘~/tmp/scratch/Rtmp5Jwj9O’
‘~/tmp/scratch/Rtmp5LTzcf’ ‘~/tmp/scratch/Rtmp5gPF9p’
‘~/tmp/scratch/Rtmp64MVdP’ ‘~/tmp/scratch/Rtmp6QZRCv’
‘~/tmp/scratch/Rtmp6YwxfI’ ‘~/tmp/scratch/Rtmp6mbJfI’
‘~/tmp/scratch/Rtmp6mxkhr’ ‘~/tmp/scratch/Rtmp7W0L84’
‘~/tmp/scratch/Rtmp7z5GBV’ ‘~/tmp/scratch/Rtmp83N5Zp’
‘~/tmp/scratch/Rtmp86DaFa’ ‘~/tmp/scratch/Rtmp9sVoZm’
‘~/tmp/scratch/Rtmp9sX0rD’ ‘~/tmp/scratch/RtmpA12Mq4’
‘~/tmp/scratch/RtmpA6XK3n’ ‘~/tmp/scratch/RtmpANA21h’
‘~/tmp/scratch/RtmpB7QZbf’ ‘~/tmp/scratch/RtmpBSibHO’
‘~/tmp/scratch/RtmpBTzYIV’ ‘~/tmp/scratch/RtmpBtt9OV’
‘~/tmp/scratch/RtmpCWBq6U’ ‘~/tmp/scratch/RtmpDhaZGn’
‘~/tmp/scratch/RtmpEcTb8h’ ‘~/tmp/scratch/RtmpEiM1hW’
‘~/tmp/scratch/RtmpEjhEfC’ ‘~/tmp/scratch/RtmpFz0pg0’
‘~/tmp/scratch/RtmpGoxCQH’ ‘~/tmp/scratch/RtmpH7dhVP’
‘~/tmp/scratch/RtmpHL4WUn’ ‘~/tmp/scratch/RtmpHNQAhQ’
‘~/tmp/scratch/RtmpHSvVlb’ ‘~/tmp/scratch/RtmpHXLaN2’
‘~/tmp/scratch/RtmpHh5za3’ ‘~/tmp/scratch/RtmpIhuz41’
‘~/tmp/scratch/RtmpImbDQ2’ ‘~/tmp/scratch/RtmpJ7jKe6’
‘~/tmp/scratch/RtmpJAO2ci’ ‘~/tmp/scratch/RtmpJWu6OL’
‘~/tmp/scratch/RtmpK0Yqe0’ ‘~/tmp/scratch/RtmpK6E8bq’
‘~/tmp/scratch/RtmpKMj6d1’ ‘~/tmp/scratch/RtmpLEWkTW’
‘~/tmp/scratch/RtmpLVhlNW’ ‘~/tmp/scratch/RtmpLiycjs’
‘~/tmp/scratch/RtmpMJ3Qik’ ‘~/tmp/scratch/RtmpNIQnXO’
‘~/tmp/scratch/RtmpO8o31g’ ‘~/tmp/scratch/RtmpOC901S’
‘~/tmp/scratch/RtmpOJtGHg’ ‘~/tmp/scratch/RtmpOjvGba’
‘~/tmp/scratch/RtmpP6PC2Q’ ‘~/tmp/scratch/RtmpPHGE86’
‘~/tmp/scratch/RtmpPKGOtl’ ‘~/tmp/scratch/RtmpPUMETr’
‘~/tmp/scratch/RtmpPvl06i’ ‘~/tmp/scratch/RtmpQ40MQN’
‘~/tmp/scratch/RtmpQK4JbA’ ‘~/tmp/scratch/RtmpQvycjs’
‘~/tmp/scratch/RtmpRYgfBH’ ‘~/tmp/scratch/RtmpRjmd5d’
‘~/tmp/scratch/RtmpS13wJO’ ‘~/tmp/scratch/RtmpS9l02C’
‘~/tmp/scratch/RtmpSUfOqB’ ‘~/tmp/scratch/RtmpSz0pSR’
‘~/tmp/scratch/RtmpU2SMi6’ ‘~/tmp/scratch/RtmpU7SA4F’
‘~/tmp/scratch/RtmpUR5jNn’ ‘~/tmp/scratch/RtmpUTHAsT’
‘~/tmp/scratch/RtmpUcck1h’ ‘~/tmp/scratch/RtmpUpeGIV’
‘~/tmp/scratch/RtmpVPU0wA’ ‘~/tmp/scratch/RtmpVb9Pj0’
‘~/tmp/scratch/RtmpVjqerE’ ‘~/tmp/scratch/RtmpVtlq97’
‘~/tmp/scratch/RtmpWcFYhw’ ‘~/tmp/scratch/RtmpWwQT5D’
‘~/tmp/scratch/RtmpXFL4Zl’ ‘~/tmp/scratch/RtmpXFQAgx’
‘~/tmp/scratch/RtmpXp4x4t’ ‘~/tmp/scratch/RtmpY7Ll0d’
‘~/tmp/scratch/RtmpYptMr7’ ‘~/tmp/scratch/RtmpZ7r32r’
‘~/tmp/scratch/RtmpZk4N5B’ ‘~/tmp/scratch/Rtmpa02G58’
‘~/tmp/scratch/Rtmpa1xi7X’ ‘~/tmp/scratch/RtmpaUirbO’
‘~/tmp/scratch/RtmpasQcWf’ ‘~/tmp/scratch/RtmpbIVQao’
‘~/tmp/scratch/Rtmpbqe9IU’ ‘~/tmp/scratch/Rtmpc6TdY3’
‘~/tmp/scratch/RtmpdYcBzv’ ‘~/tmp/scratch/Rtmpdg45or’
‘~/tmp/scratch/Rtmpe1No0i’ ‘~/tmp/scratch/Rtmpe1aO5Y’
‘~/tmp/scratch/Rtmpe6L440’ ‘~/tmp/scratch/RtmpeDKB9c’
‘~/tmp/scratch/RtmpeDh7WF’ ‘~/tmp/scratch/RtmpeHgXlh’
‘~/tmp/scratch/RtmpeKJ29h’ ‘~/tmp/scratch/RtmpeacYqP’
‘~/tmp/scratch/RtmpemeGVG’ ‘~/tmp/scratch/Rtmpf5OsG2’
‘~/tmp/scratch/RtmpfLp4j3’ ‘~/tmp/scratch/RtmpfWFNaI’
‘~/tmp/scratch/RtmpfhUYle’ ‘~/tmp/scratch/Rtmpg0B8K7’
‘~/tmp/scratch/RtmpgDTGiD’ ‘~/tmp/scratch/RtmphKFP4h’
‘~/tmp/scratch/RtmphQt3mS’ ‘~/tmp/scratch/RtmphbIuas’
‘~/tmp/scratch/RtmphcsqaB’ ‘~/tmp/scratch/RtmphjCEUZ’
‘~/tmp/scratch/RtmphldiwS’ ‘~/tmp/scratch/RtmphoJl5y’
‘~/tmp/scratch/RtmphzeuKu’ ‘~/tmp/scratch/RtmpifBphC’
‘~/tmp/scratch/RtmpigfBnA’ ‘~/tmp/scratch/RtmpikiW94’
‘~/tmp/scratch/Rtmpj74Ygb’ ‘~/tmp/scratch/RtmpjmG0UD’
‘~/tmp/scratch/Rtmpjxlt5P’ ‘~/tmp/scratch/RtmpknuZN4’
‘~/tmp/scratch/Rtmpl8h1va’ ‘~/tmp/scratch/Rtmpljj6qG’
‘~/tmp/scratch/Rtmpm4ViE5’ ‘~/tmp/scratch/RtmpmXP6Al’
‘~/tmp/scratch/RtmpmmRRjV’ ‘~/tmp/scratch/RtmpnOgn0o’
‘~/tmp/scratch/RtmpoA3XiL’ ‘~/tmp/scratch/RtmpoMGHTY’
‘~/tmp/scratch/RtmpoVdycd’ ‘~/tmp/scratch/RtmppfJCzj’
‘~/tmp/scratch/RtmpqKDZgK’ ‘~/tmp/scratch/RtmprAm1BJ’
‘~/tmp/scratch/RtmprOaWsz’ ‘~/tmp/scratch/Rtmprl596g’
‘~/tmp/scratch/Rtmprop9w9’ ‘~/tmp/scratch/Rtmps6e1gs’
‘~/tmp/scratch/RtmpsuurUp’ ‘~/tmp/scratch/Rtmpt58Hmy’
‘~/tmp/scratch/Rtmpt5V08Z’ ‘~/tmp/scratch/Rtmpt8i1XL’
‘~/tmp/scratch/Rtmptvbi7V’ ‘~/tmp/scratch/Rtmpv2oyJZ’
‘~/tmp/scratch/RtmpvxWrgC’ ‘~/tmp/scratch/RtmpwIl7eJ’
‘~/tmp/scratch/RtmpwPCyYE’ ‘~/tmp/scratch/RtmpwT5ZS5’
‘~/tmp/scratch/RtmpwhlX9J’ ‘~/tmp/scratch/RtmpwkRWQl’
‘~/tmp/scratch/RtmpxJ8Fre’ ‘~/tmp/scratch/RtmpyTesRS’
‘~/tmp/scratch/RtmpyY3NLC’ ‘~/tmp/scratch/RtmpzO6ur5’
‘~/tmp/scratch/RtmpzUPesQ’ ‘~/tmp/scratch/RtmpzacoMw’
‘~/tmp/scratch/Rtmpzs1Sm6’ ‘~/tmp/scratch/xvfb-run.10edJz’
‘~/tmp/scratch/xvfb-run.1R7uT7’ ‘~/tmp/scratch/xvfb-run.1qJVNF’
‘~/tmp/scratch/xvfb-run.26GYJ6’ ‘~/tmp/scratch/xvfb-run.3jG7Ip’
‘~/tmp/scratch/xvfb-run.3wRrPz’ ‘~/tmp/scratch/xvfb-run.4IKHw6’
‘~/tmp/scratch/xvfb-run.4VGkEf’ ‘~/tmp/scratch/xvfb-run.4bjNf5’
‘~/tmp/scratch/xvfb-run.4dTSmW’ ‘~/tmp/scratch/xvfb-run.64go7y’
‘~/tmp/scratch/xvfb-run.6AnGNL’ ‘~/tmp/scratch/xvfb-run.873wLB’
‘~/tmp/scratch/xvfb-run.8LC71t’ ‘~/tmp/scratch/xvfb-run.9mvoqo’
‘~/tmp/scratch/xvfb-run.9u38x7’ ‘~/tmp/scratch/xvfb-run.AaPoW8’
‘~/tmp/scratch/xvfb-run.AeCAx9’ ‘~/tmp/scratch/xvfb-run.BB1FDz’
‘~/tmp/scratch/xvfb-run.D30WXX’ ‘~/tmp/scratch/xvfb-run.DizuaG’
‘~/tmp/scratch/xvfb-run.FqWc8W’ ‘~/tmp/scratch/xvfb-run.GJ31l2’
‘~/tmp/scratch/xvfb-run.IQDzl7’ ‘~/tmp/scratch/xvfb-run.Jlb2WM’
‘~/tmp/scratch/xvfb-run.MaEmSt’ ‘~/tmp/scratch/xvfb-run.MtdZsC’
‘~/tmp/scratch/xvfb-run.NCR4vE’ ‘~/tmp/scratch/xvfb-run.Nb0PBe’
‘~/tmp/scratch/xvfb-run.NbhjkG’ ‘~/tmp/scratch/xvfb-run.Nrm6S7’
‘~/tmp/scratch/xvfb-run.PwaZhu’ ‘~/tmp/scratch/xvfb-run.UZ672V’
‘~/tmp/scratch/xvfb-run.UrPF9U’ ‘~/tmp/scratch/xvfb-run.VKZkAu’
‘~/tmp/scratch/xvfb-run.VdoHbz’ ‘~/tmp/scratch/xvfb-run.WIXy59’
‘~/tmp/scratch/xvfb-run.WLVmqw’ ‘~/tmp/scratch/xvfb-run.Xw1SHy’
‘~/tmp/scratch/xvfb-run.Ybh2RF’ ‘~/tmp/scratch/xvfb-run.YtzzKC’
‘~/tmp/scratch/xvfb-run.ZwQmGG’ ‘~/tmp/scratch/xvfb-run.aqwFHl’
‘~/tmp/scratch/xvfb-run.cTo4p0’ ‘~/tmp/scratch/xvfb-run.cXC8hB’
‘~/tmp/scratch/xvfb-run.elUCOG’ ‘~/tmp/scratch/xvfb-run.fYuk2e’
‘~/tmp/scratch/xvfb-run.ftEqh1’ ‘~/tmp/scratch/xvfb-run.gwFBIm’
‘~/tmp/scratch/xvfb-run.hwzF54’ ‘~/tmp/scratch/xvfb-run.iJeCiq’
‘~/tmp/scratch/xvfb-run.iaSsxQ’ ‘~/tmp/scratch/xvfb-run.kQSLNd’
‘~/tmp/scratch/xvfb-run.lH3G96’ ‘~/tmp/scratch/xvfb-run.lOlEig’
‘~/tmp/scratch/xvfb-run.loZJpB’ ‘~/tmp/scratch/xvfb-run.moVykT’
‘~/tmp/scratch/xvfb-run.n63EuF’ ‘~/tmp/scratch/xvfb-run.nlGpiV’
‘~/tmp/scratch/xvfb-run.oul0Nb’ ‘~/tmp/scratch/xvfb-run.q2r13f’
‘~/tmp/scratch/xvfb-run.rm23iN’ ‘~/tmp/scratch/xvfb-run.tI08Mp’
‘~/tmp/scratch/xvfb-run.tQbAeD’ ‘~/tmp/scratch/xvfb-run.trBTvY’
‘~/tmp/scratch/xvfb-run.tulJSW’ ‘~/tmp/scratch/xvfb-run.u8UVs1’
‘~/tmp/scratch/xvfb-run.uBsGea’ ‘~/tmp/scratch/xvfb-run.ubpp2C’
‘~/tmp/scratch/xvfb-run.ulHXY4’ ‘~/tmp/scratch/xvfb-run.y3jMbP’
‘~/tmp/scratch/xvfb-run.yU8Wnz’
‘/dev/shm/sm_segment.gimli1.1001.c7b70000.0’
‘~/.cache/pocl/uncached/tempfile_9HZ3iL’
- DONE
Status: 2 ERRORs, 2 NOTEs