Last updated on 2026-07-26 12:50:22 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.6.0 | 14.24 | 565.55 | 579.79 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.6.0 | 10.10 | 274.71 | 284.81 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.6.0 | 25.00 | 574.77 | 599.77 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.6.0 | 11.00 | 260.37 | 271.37 | ERROR | |
| r-devel-windows-x86_64 | 1.6.0 | 16.00 | 518.00 | 534.00 | OK | |
| r-patched-linux-x86_64 | 1.6.0 | 18.73 | 521.14 | 539.87 | OK | |
| r-release-linux-x86_64 | 1.6.0 | 14.90 | 370.95 | 385.85 | ERROR | |
| r-release-macos-arm64 | 1.6.0 | 3.00 | 119.00 | 122.00 | OK | |
| r-release-macos-x86_64 | 1.6.0 | 10.00 | 519.00 | 529.00 | OK | |
| r-release-windows-x86_64 | 1.6.0 | 16.00 | 524.00 | 540.00 | OK | |
| r-oldrel-macos-arm64 | 1.6.0 | 3.00 | 126.00 | 129.00 | OK | |
| r-oldrel-macos-x86_64 | 1.6.0 | 10.00 | 507.00 | 517.00 | OK | |
| r-oldrel-windows-x86_64 | 1.6.0 | 23.00 | 739.00 | 762.00 | OK |
Version: 1.6.0
Check: examples
Result: ERROR
Running examples in ‘mlr3fselect-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: auto_fselector
> ### Title: Function for Automatic Feature Selection
> ### Aliases: auto_fselector
>
> ### ** Examples
>
> afs = auto_fselector(
+ fselector = fs("random_search"),
+ learner = lrn("classif.rpart"),
+ resampling = rsmp("holdout"),
+ measure = msr("classif.ce"),
+ term_evals = 4)
>
> afs$train(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: <Anonymous> ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-release-linux-x86_64
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [206s/253s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library(testthat)
+ library(checkmate)
+ library(mlr3fselect)
+ test_check("mlr3fselect")
+ }
Loading required package: mlr3
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
Saving _problems/test_ArchiveBatchFSelect-60.R
Saving _problems/test_AutoFSelector-209.R
Saving _problems/test_FSelectInstanceSingleCrit-63.R
Saving _problems/test_FSelectInstanceSingleCrit-92.R
Saving _problems/test_FSelectInstanceSingleCrit-121.R
Saving _problems/test_FSelectorRFE-102.R
Saving _problems/test_FSelectorRFE-107.R
Saving _problems/test_FSelectorRFE-122.R
Saving _problems/test_FSelectorRFE-133.R
Saving _problems/test_FSelectorRFE-144.R
Saving _problems/test_FSelectorRFE-164.R
Saving _problems/test_FSelectorRFECV-85.R
Saving _problems/test_ObjectiveFSelect-79.R
Saving _problems/test_ObjectiveFSelect-146.R
Saving _problems/test_extract_inner_fselect_archives-191.R
Saving _problems/test_extract_inner_fselect_result-167.R
Saving _problems/test_fselect-9.R
Saving _problems/test_fselect-24.R
Saving _problems/test_fselect-39.R
Saving _problems/test_fselect_nested-10.R
Saving _problems/test_fsi-8.R
Saving _problems/test_fsi-19.R
Saving _problems/test_fsi-29.R
Saving _problems/test_fsi-72.R
Saving _problems/test_mlr_callbacks-12.R
Saving _problems/test_mlr_callbacks-72.R
Saving _problems/test_mlr_callbacks-95.R
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
══ Skipped tests (18) ══════════════════════════════════════════════════════════
• On CRAN (18): 'test_ArchiveAsyncFSelect.R:2:1',
'test_ArchiveAsyncFSelectFrozen.R:2:1', 'test_AutoFSelector.R:2:3',
'test_AutoFSelector.R:29:3', 'test_AutoFSelector.R:64:3',
'test_AutoFSelector.R:266:3', 'test_CallbackAsyncFSelect.R:2:1',
'test_FSelectInstanceAsyncMultiCrit.R:2:1',
'test_FSelectInstanceAsyncSingleCrit.R:2:1',
'test_FSelectorAsyncDesignPoints.R:2:1',
'test_FSelectorAsyncExhaustiveSearch.R:2:1',
'test_FSelectorAsyncRandomSearch.R:2:1', 'test_ObjectiveFSelectAsync.R:97:3',
'test_ObjectiveFSelectAsync.R:181:3', 'test_auto_fselector.R:41:3',
'test_auto_fselector.R:65:3', 'test_fsi_async.R:2:1',
'test_mlr_callbacks.R:108:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_ArchiveBatchFSelect.R:53:3'): ArchiveBatchFSelect as.data.table function works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_ArchiveBatchFSelect.R:53:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_AutoFSelector.R:209:3'): AutoFSelector get_base_learner method works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_AutoFSelector.R:209:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:63:3'): always include variable works ──
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_FSelectInstanceSingleCrit.R:63:3
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_FSelectInstanceSingleCrit.R:92:3'): always include variables works ──
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_FSelectInstanceSingleCrit.R:92:3
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_FSelectInstanceSingleCrit.R:121:3'): objective contains no benchmark results ──
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_FSelectInstanceSingleCrit.R:121:3
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_FSelectorRFE.R:92:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFE.R:92:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:107:3'): fix_importance function works ──────────
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_FSelectorRFE.R:107:3
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_FSelectorRFE.R:122:3'): raw_importance function works ──────────
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_FSelectorRFE.R:122:3
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_FSelectorRFE.R:133:3'): rank_importance function works ─────────
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_FSelectorRFE.R:133:3
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_FSelectorRFE.R:144:3'): average_importance function works ──────
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_FSelectorRFE.R:144:3
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_FSelectorRFE.R:157:3'): works without storing models ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_FSelectorRFE.R:157:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFECV.R:75:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFECV.R:75:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_ObjectiveFSelect.R:79:3'): fast aggregation works ──────────────
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_ObjectiveFSelect.R:79:3
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_ObjectiveFSelect.R:146:3'): fast aggregation conditions work ───
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_ObjectiveFSelect.R:146:3
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_extract_inner_fselect_archives.R:191:3'): extract_inner_fselect_archives function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_archives.R:191:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_extract_inner_fselect_result.R:167:3'): extract_inner_fselect_results function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_result.R:167:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:2:3'): fselect function works with single measure ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:17:3'): fselect function works with multiple measures ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:17:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:32:3'): fselect function accepts string input for method ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:32:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect_nested.R:2:3'): fselect_nested function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect_nested(...) at test_fselect_nested.R:2:3
2. │ └─mlr3::assert_task(task)
3. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. └─mlr3::tsk("pima")
6. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor, cargs)
10. └─mlr3 (local) `<fn>`()
11. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:2:3'): fsi function creates a FSelectInstanceBatchSingleCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:13:3'): fsi function creates a FSelectInstanceBatchMultiCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:13:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:29:3'): fsi and FSelectInstanceBatchSingleCrit are equal ──
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_fsi.R:29:3
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_fsi.R:72:3'): fsi and FSelectInstanceBatchMultiCrit are equal ──
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_fsi.R:72:3
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_mlr_callbacks.R:4:3'): backup callback works ───────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:4:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:64:3'): internal tuning callback works ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:64:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:95:3'): internal tuning callback works with AutoFSelector ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_mlr_callbacks.R:95:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.6.0
Check: examples
Result: ERROR
Running examples in ‘mlr3fselect-Ex.R’ failed
The error most likely occurred in:
> ### Name: auto_fselector
> ### Title: Function for Automatic Feature Selection
> ### Aliases: auto_fselector
>
> ### ** Examples
>
> afs = auto_fselector(
+ fselector = fs("random_search"),
+ learner = lrn("classif.rpart"),
+ resampling = rsmp("holdout"),
+ measure = msr("classif.ce"),
+ term_evals = 4)
>
> afs$train(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: <Anonymous> ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [429s/559s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library(testthat)
+ library(checkmate)
+ library(mlr3fselect)
+ test_check("mlr3fselect")
+ }
Loading required package: mlr3
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
Saving _problems/test_ArchiveBatchFSelect-60.R
Saving _problems/test_AutoFSelector-209.R
Saving _problems/test_FSelectInstanceSingleCrit-63.R
Saving _problems/test_FSelectInstanceSingleCrit-92.R
Saving _problems/test_FSelectInstanceSingleCrit-121.R
Saving _problems/test_FSelectorRFE-102.R
Saving _problems/test_FSelectorRFE-107.R
Saving _problems/test_FSelectorRFE-122.R
Saving _problems/test_FSelectorRFE-133.R
Saving _problems/test_FSelectorRFE-144.R
Saving _problems/test_FSelectorRFE-164.R
Saving _problems/test_FSelectorRFECV-85.R
Saving _problems/test_ObjectiveFSelect-79.R
Saving _problems/test_ObjectiveFSelect-146.R
Saving _problems/test_extract_inner_fselect_archives-191.R
Saving _problems/test_extract_inner_fselect_result-167.R
Saving _problems/test_fselect-9.R
Saving _problems/test_fselect-24.R
Saving _problems/test_fselect-39.R
Saving _problems/test_fselect_nested-10.R
Saving _problems/test_fsi-8.R
Saving _problems/test_fsi-19.R
Saving _problems/test_fsi-29.R
Saving _problems/test_fsi-72.R
Saving _problems/test_mlr_callbacks-12.R
Saving _problems/test_mlr_callbacks-72.R
Saving _problems/test_mlr_callbacks-95.R
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
══ Skipped tests (18) ══════════════════════════════════════════════════════════
• On CRAN (18): 'test_ArchiveAsyncFSelect.R:2:1',
'test_ArchiveAsyncFSelectFrozen.R:2:1', 'test_AutoFSelector.R:2:3',
'test_AutoFSelector.R:29:3', 'test_AutoFSelector.R:64:3',
'test_AutoFSelector.R:266:3', 'test_CallbackAsyncFSelect.R:2:1',
'test_FSelectInstanceAsyncMultiCrit.R:2:1',
'test_FSelectInstanceAsyncSingleCrit.R:2:1',
'test_FSelectorAsyncDesignPoints.R:2:1',
'test_FSelectorAsyncExhaustiveSearch.R:2:1',
'test_FSelectorAsyncRandomSearch.R:2:1', 'test_ObjectiveFSelectAsync.R:97:3',
'test_ObjectiveFSelectAsync.R:181:3', 'test_auto_fselector.R:41:3',
'test_auto_fselector.R:65:3', 'test_fsi_async.R:2:1',
'test_mlr_callbacks.R:108:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_ArchiveBatchFSelect.R:53:3'): ArchiveBatchFSelect as.data.table function works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_ArchiveBatchFSelect.R:53:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_AutoFSelector.R:209:3'): AutoFSelector get_base_learner method works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_AutoFSelector.R:209:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:63:3'): always include variable works ──
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_FSelectInstanceSingleCrit.R:63:3
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_FSelectInstanceSingleCrit.R:92:3'): always include variables works ──
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_FSelectInstanceSingleCrit.R:92:3
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_FSelectInstanceSingleCrit.R:121:3'): objective contains no benchmark results ──
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_FSelectInstanceSingleCrit.R:121:3
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_FSelectorRFE.R:92:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFE.R:92:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:107:3'): fix_importance function works ──────────
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_FSelectorRFE.R:107:3
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_FSelectorRFE.R:122:3'): raw_importance function works ──────────
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_FSelectorRFE.R:122:3
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_FSelectorRFE.R:133:3'): rank_importance function works ─────────
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_FSelectorRFE.R:133:3
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_FSelectorRFE.R:144:3'): average_importance function works ──────
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_FSelectorRFE.R:144:3
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_FSelectorRFE.R:157:3'): works without storing models ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_FSelectorRFE.R:157:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFECV.R:75:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFECV.R:75:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_ObjectiveFSelect.R:79:3'): fast aggregation works ──────────────
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_ObjectiveFSelect.R:79:3
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_ObjectiveFSelect.R:146:3'): fast aggregation conditions work ───
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_ObjectiveFSelect.R:146:3
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_extract_inner_fselect_archives.R:191:3'): extract_inner_fselect_archives function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_archives.R:191:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_extract_inner_fselect_result.R:167:3'): extract_inner_fselect_results function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_result.R:167:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:2:3'): fselect function works with single measure ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:17:3'): fselect function works with multiple measures ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:17:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:32:3'): fselect function accepts string input for method ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:32:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect_nested.R:2:3'): fselect_nested function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect_nested(...) at test_fselect_nested.R:2:3
2. │ └─mlr3::assert_task(task)
3. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. └─mlr3::tsk("pima")
6. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor, cargs)
10. └─mlr3 (local) `<fn>`()
11. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:2:3'): fsi function creates a FSelectInstanceBatchSingleCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:13:3'): fsi function creates a FSelectInstanceBatchMultiCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:13:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:29:3'): fsi and FSelectInstanceBatchSingleCrit are equal ──
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_fsi.R:29:3
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_fsi.R:72:3'): fsi and FSelectInstanceBatchMultiCrit are equal ──
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_fsi.R:72:3
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_mlr_callbacks.R:4:3'): backup callback works ───────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:4:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:64:3'): internal tuning callback works ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:64:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:95:3'): internal tuning callback works with AutoFSelector ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_mlr_callbacks.R:95:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [196s/376s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library(testthat)
+ library(checkmate)
+ library(mlr3fselect)
+ test_check("mlr3fselect")
+ }
Loading required package: mlr3
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
Saving _problems/test_ArchiveBatchFSelect-60.R
Saving _problems/test_AutoFSelector-209.R
Saving _problems/test_FSelectInstanceSingleCrit-63.R
Saving _problems/test_FSelectInstanceSingleCrit-92.R
Saving _problems/test_FSelectInstanceSingleCrit-121.R
Saving _problems/test_FSelectorRFE-102.R
Saving _problems/test_FSelectorRFE-107.R
Saving _problems/test_FSelectorRFE-122.R
Saving _problems/test_FSelectorRFE-133.R
Saving _problems/test_FSelectorRFE-144.R
Saving _problems/test_FSelectorRFE-164.R
Saving _problems/test_FSelectorRFECV-85.R
Saving _problems/test_ObjectiveFSelect-79.R
Saving _problems/test_ObjectiveFSelect-146.R
Saving _problems/test_extract_inner_fselect_archives-191.R
Saving _problems/test_extract_inner_fselect_result-167.R
Saving _problems/test_fselect-9.R
Saving _problems/test_fselect-24.R
Saving _problems/test_fselect-39.R
Saving _problems/test_fselect_nested-10.R
Saving _problems/test_fsi-8.R
Saving _problems/test_fsi-19.R
Saving _problems/test_fsi-29.R
Saving _problems/test_fsi-72.R
Saving _problems/test_mlr_callbacks-12.R
Saving _problems/test_mlr_callbacks-72.R
Saving _problems/test_mlr_callbacks-95.R
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
══ Skipped tests (18) ══════════════════════════════════════════════════════════
• On CRAN (18): 'test_ArchiveAsyncFSelect.R:2:1',
'test_ArchiveAsyncFSelectFrozen.R:2:1', 'test_AutoFSelector.R:2:3',
'test_AutoFSelector.R:29:3', 'test_AutoFSelector.R:64:3',
'test_AutoFSelector.R:266:3', 'test_CallbackAsyncFSelect.R:2:1',
'test_FSelectInstanceAsyncMultiCrit.R:2:1',
'test_FSelectInstanceAsyncSingleCrit.R:2:1',
'test_FSelectorAsyncDesignPoints.R:2:1',
'test_FSelectorAsyncExhaustiveSearch.R:2:1',
'test_FSelectorAsyncRandomSearch.R:2:1', 'test_ObjectiveFSelectAsync.R:97:3',
'test_ObjectiveFSelectAsync.R:181:3', 'test_auto_fselector.R:41:3',
'test_auto_fselector.R:65:3', 'test_fsi_async.R:2:1',
'test_mlr_callbacks.R:108:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_ArchiveBatchFSelect.R:53:3'): ArchiveBatchFSelect as.data.table function works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_ArchiveBatchFSelect.R:53:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_AutoFSelector.R:209:3'): AutoFSelector get_base_learner method works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_AutoFSelector.R:209:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:63:3'): always include variable works ──
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_FSelectInstanceSingleCrit.R:63:3
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_FSelectInstanceSingleCrit.R:92:3'): always include variables works ──
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_FSelectInstanceSingleCrit.R:92:3
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_FSelectInstanceSingleCrit.R:121:3'): objective contains no benchmark results ──
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_FSelectInstanceSingleCrit.R:121:3
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_FSelectorRFE.R:92:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFE.R:92:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:107:3'): fix_importance function works ──────────
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_FSelectorRFE.R:107:3
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_FSelectorRFE.R:122:3'): raw_importance function works ──────────
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_FSelectorRFE.R:122:3
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_FSelectorRFE.R:133:3'): rank_importance function works ─────────
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_FSelectorRFE.R:133:3
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_FSelectorRFE.R:144:3'): average_importance function works ──────
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_FSelectorRFE.R:144:3
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_FSelectorRFE.R:157:3'): works without storing models ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_FSelectorRFE.R:157:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFECV.R:75:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFECV.R:75:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_ObjectiveFSelect.R:79:3'): fast aggregation works ──────────────
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_ObjectiveFSelect.R:79:3
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_ObjectiveFSelect.R:146:3'): fast aggregation conditions work ───
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_ObjectiveFSelect.R:146:3
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_extract_inner_fselect_archives.R:191:3'): extract_inner_fselect_archives function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_archives.R:191:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_extract_inner_fselect_result.R:167:3'): extract_inner_fselect_results function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_result.R:167:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:2:3'): fselect function works with single measure ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:17:3'): fselect function works with multiple measures ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:17:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:32:3'): fselect function accepts string input for method ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:32:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect_nested.R:2:3'): fselect_nested function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect_nested(...) at test_fselect_nested.R:2:3
2. │ └─mlr3::assert_task(task)
3. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. └─mlr3::tsk("pima")
6. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor, cargs)
10. └─mlr3 (local) `<fn>`()
11. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:2:3'): fsi function creates a FSelectInstanceBatchSingleCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:13:3'): fsi function creates a FSelectInstanceBatchMultiCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:13:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:29:3'): fsi and FSelectInstanceBatchSingleCrit are equal ──
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_fsi.R:29:3
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_fsi.R:72:3'): fsi and FSelectInstanceBatchMultiCrit are equal ──
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_fsi.R:72:3
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_mlr_callbacks.R:4:3'): backup callback works ───────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:4:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:64:3'): internal tuning callback works ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:64:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:95:3'): internal tuning callback works with AutoFSelector ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_mlr_callbacks.R:95:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.6.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [275s/428s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library(testthat)
+ library(checkmate)
+ library(mlr3fselect)
+ test_check("mlr3fselect")
+ }
Loading required package: mlr3
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
Saving _problems/test_ArchiveBatchFSelect-60.R
Saving _problems/test_AutoFSelector-209.R
Saving _problems/test_FSelectInstanceSingleCrit-63.R
Saving _problems/test_FSelectInstanceSingleCrit-92.R
Saving _problems/test_FSelectInstanceSingleCrit-121.R
Saving _problems/test_FSelectorRFE-102.R
Saving _problems/test_FSelectorRFE-107.R
Saving _problems/test_FSelectorRFE-122.R
Saving _problems/test_FSelectorRFE-133.R
Saving _problems/test_FSelectorRFE-144.R
Saving _problems/test_FSelectorRFE-164.R
Saving _problems/test_FSelectorRFECV-85.R
Saving _problems/test_ObjectiveFSelect-79.R
Saving _problems/test_ObjectiveFSelect-146.R
Saving _problems/test_extract_inner_fselect_archives-191.R
Saving _problems/test_extract_inner_fselect_result-167.R
Saving _problems/test_fselect-9.R
Saving _problems/test_fselect-24.R
Saving _problems/test_fselect-39.R
Saving _problems/test_fselect_nested-10.R
Saving _problems/test_fsi-8.R
Saving _problems/test_fsi-19.R
Saving _problems/test_fsi-29.R
Saving _problems/test_fsi-72.R
Saving _problems/test_mlr_callbacks-12.R
Saving _problems/test_mlr_callbacks-72.R
Saving _problems/test_mlr_callbacks-95.R
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
══ Skipped tests (18) ══════════════════════════════════════════════════════════
• On CRAN (18): 'test_ArchiveAsyncFSelect.R:2:1',
'test_ArchiveAsyncFSelectFrozen.R:2:1', 'test_AutoFSelector.R:2:3',
'test_AutoFSelector.R:29:3', 'test_AutoFSelector.R:64:3',
'test_AutoFSelector.R:266:3', 'test_CallbackAsyncFSelect.R:2:1',
'test_FSelectInstanceAsyncMultiCrit.R:2:1',
'test_FSelectInstanceAsyncSingleCrit.R:2:1',
'test_FSelectorAsyncDesignPoints.R:2:1',
'test_FSelectorAsyncExhaustiveSearch.R:2:1',
'test_FSelectorAsyncRandomSearch.R:2:1', 'test_ObjectiveFSelectAsync.R:97:3',
'test_ObjectiveFSelectAsync.R:181:3', 'test_auto_fselector.R:41:3',
'test_auto_fselector.R:65:3', 'test_fsi_async.R:2:1',
'test_mlr_callbacks.R:108:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_ArchiveBatchFSelect.R:53:3'): ArchiveBatchFSelect as.data.table function works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_ArchiveBatchFSelect.R:53:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_AutoFSelector.R:209:3'): AutoFSelector get_base_learner method works ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_AutoFSelector.R:209:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectInstanceSingleCrit.R:63:3'): always include variable works ──
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_FSelectInstanceSingleCrit.R:63:3
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_FSelectInstanceSingleCrit.R:92:3'): always include variables works ──
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_FSelectInstanceSingleCrit.R:92:3
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_FSelectInstanceSingleCrit.R:121:3'): objective contains no benchmark results ──
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_FSelectInstanceSingleCrit.R:121:3
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_FSelectorRFE.R:92:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFE.R:92:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFE.R:107:3'): fix_importance function works ──────────
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_FSelectorRFE.R:107:3
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_FSelectorRFE.R:122:3'): raw_importance function works ──────────
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_FSelectorRFE.R:122:3
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_FSelectorRFE.R:133:3'): rank_importance function works ─────────
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_FSelectorRFE.R:133:3
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_FSelectorRFE.R:144:3'): average_importance function works ──────
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_FSelectorRFE.R:144:3
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_FSelectorRFE.R:157:3'): works without storing models ───────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_FSelectorRFE.R:157:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_FSelectorRFECV.R:75:3'): learner without importance method throw an error ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_FSelectorRFECV.R:75:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3fselect::fselect(...)
8. │ └─FSelectInstanceBatchSingleCrit$new(...)
9. │ └─mlr3fselect (local) initialize(...)
10. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
11. │ ├─ArchiveBatchFSelect$new(...)
12. │ │ └─mlr3fselect (local) initialize(...)
13. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
14. │ │ └─super$initialize(search_space, codomain, check_values)
15. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
16. │ │ └─super$initialize(...)
17. │ │ └─bbotk:::.__Archive__initialize(...)
18. │ │ └─paradox::assert_param_set(search_space)
19. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
20. │ │ └─checkmate::checkR6(...)
21. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
22. │ └─mlr3::assert_task(task)
23. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
24. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
25. └─mlr3::tsk("pima")
26. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
27. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
28. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
29. ├─base::do.call(constructor, cargs)
30. └─mlr3 (local) `<fn>`()
31. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_ObjectiveFSelect.R:79:3'): fast aggregation works ──────────────
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_ObjectiveFSelect.R:79:3
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_ObjectiveFSelect.R:146:3'): fast aggregation conditions work ───
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_ObjectiveFSelect.R:146:3
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_extract_inner_fselect_archives.R:191:3'): extract_inner_fselect_archives function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_archives.R:191:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_extract_inner_fselect_result.R:167:3'): extract_inner_fselect_results function works with multiple tasks ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark_grid(...) at test_extract_inner_fselect_result.R:167:3
2. │ ├─mlr3::assert_tasks(as_tasks(tasks))
3. │ │ └─checkmate::assert_list(tasks, types = "Task")
4. │ │ └─checkmate::checkList(...)
5. │ │ └─... %and% checkListTypes(x, types)
6. │ │ └─base::isTRUE(lhs)
7. │ └─mlr3::as_tasks(tasks)
8. └─mlr3::tsk("pima")
9. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor, cargs)
13. └─mlr3 (local) `<fn>`()
14. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:2:3'): fselect function works with single measure ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:17:3'): fselect function works with multiple measures ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:17:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect.R:32:3'): fselect function accepts string input for method ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_fselect.R:32:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fselect_nested.R:2:3'): fselect_nested function works ──────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect_nested(...) at test_fselect_nested.R:2:3
2. │ └─mlr3::assert_task(task)
3. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. └─mlr3::tsk("pima")
6. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor, cargs)
10. └─mlr3 (local) `<fn>`()
11. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:2:3'): fsi function creates a FSelectInstanceBatchSingleCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:2:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:13:3'): fsi function creates a FSelectInstanceBatchMultiCrit ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fsi(...) at test_fsi.R:13:3
2. │ └─FSelectInstanceBatchMultiCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchMultiCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_fsi.R:29:3'): fsi and FSelectInstanceBatchSingleCrit are equal ──
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_fsi.R:29:3
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_fsi.R:72:3'): fsi and FSelectInstanceBatchMultiCrit are equal ──
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_fsi.R:72:3
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_mlr_callbacks.R:4:3'): backup callback works ───────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:4:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:64:3'): internal tuning callback works ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3fselect::fselect(...) at test_mlr_callbacks.R:64:3
2. │ └─FSelectInstanceBatchSingleCrit$new(...)
3. │ └─mlr3fselect (local) initialize(...)
4. │ └─mlr3fselect:::.__FSelectInstanceBatchSingleCrit__initialize(...)
5. │ ├─ArchiveBatchFSelect$new(...)
6. │ │ └─mlr3fselect (local) initialize(...)
7. │ │ └─mlr3fselect:::.__ArchiveBatchFSelect__initialize(...)
8. │ │ └─super$initialize(search_space, codomain, check_values)
9. │ │ └─bbotk:::.__ArchiveBatch__initialize(...)
10. │ │ └─super$initialize(...)
11. │ │ └─bbotk:::.__Archive__initialize(...)
12. │ │ └─paradox::assert_param_set(search_space)
13. │ │ └─checkmate::assert_r6(param_set, "ParamSet")
14. │ │ └─checkmate::checkR6(...)
15. │ ├─mlr3fselect:::task_to_domain(assert_task(task))
16. │ └─mlr3::assert_task(task)
17. │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
18. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
19. └─mlr3::tsk("pima")
20. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
21. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
22. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
23. ├─base::do.call(constructor, cargs)
24. └─mlr3 (local) `<fn>`()
25. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:95:3'): internal tuning callback works with AutoFSelector ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─afs$train(tsk("pima")) at test_mlr_callbacks.R:95:3
2. │ └─mlr3:::.__Learner__train(...)
3. │ ├─mlr3::assert_task(as_task(task))
4. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
5. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
6. │ └─mlr3::as_task(task)
7. └─mlr3::tsk("pima")
8. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor, cargs)
12. └─mlr3 (local) `<fn>`()
13. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 27 | WARN 27 | SKIP 18 | PASS 5184 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64