Last updated on 2026-08-01 01:52:42 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.7.1 | 29.52 | 559.29 | 588.81 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.7.1 | 20.94 | 363.58 | 384.52 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.7.1 | 56.00 | 669.98 | 725.98 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 1.7.1 | 22.00 | 320.67 | 342.67 | ERROR | |
| r-devel-windows-x86_64 | 1.7.1 | 32.00 | 582.00 | 614.00 | ERROR | |
| r-patched-linux-x86_64 | 1.7.1 | 46.93 | 519.09 | 566.02 | ERROR | |
| r-release-linux-x86_64 | 1.7.1 | 29.62 | 519.75 | 549.37 | ERROR | |
| r-release-macos-arm64 | 1.7.1 | 7.00 | 168.00 | 175.00 | OK | |
| r-release-macos-x86_64 | 1.7.1 | 22.00 | 654.00 | 676.00 | OK | |
| r-release-windows-x86_64 | 1.7.1 | 34.00 | 627.00 | 661.00 | ERROR | |
| r-oldrel-macos-arm64 | 1.7.1 | 7.00 | 161.00 | 168.00 | OK | |
| r-oldrel-macos-x86_64 | 1.7.1 | 21.00 | 585.00 | 606.00 | OK | |
| r-oldrel-windows-x86_64 | 1.7.1 | 47.00 | 806.00 | 853.00 | ERROR |
Version: 1.7.1
Check: Rd cross-references
Result: WARN
Missing link(s) in Rd file 'mlr_tasks_pima.Rd':
‘[mlbench:PimaIndiansDiabetes2]{mlbench::PimaIndiansDiabetes2}’
See section 'Cross-references' in the 'Writing R Extensions' manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 1.7.1
Check: Rd contents
Result: NOTE
Rd files without \usage:
‘mlr3.holdout_task.Rd’ ‘mlr3.model_extractor.Rd’
\arguments should not be documented without \usage.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.7.1
Check: examples
Result: ERROR
Running examples in ‘mlr3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: HotstartStack
> ### Title: Stack for Hot Start Learners
> ### Aliases: HotstartStack
>
> ### ** Examples
>
> # train learner on pima task
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
BenchmarkResult 4.07 0.158 5.761
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [355s/512s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
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[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
══ Skipped tests (16) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
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. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() 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_Task.R:426:3
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_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:528:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.7.1
Check: examples
Result: ERROR
Running examples in ‘mlr3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: HotstartStack
> ### Title: Stack for Hot Start Learners
> ### Aliases: HotstartStack
>
> ### ** Examples
>
> # train learner on pima task
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [232s/376s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
Saving _problems/test_CallbackResample-25.R
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Saving _problems/test_CallbackResample-199.R
Saving _problems/test_CallbackResample-228.R
Saving _problems/test_ContextEvaluation-2.R
Saving _problems/test_HotstartStack-2.R
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Saving _problems/test_Learner-44.R
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Saving _problems/test_Measure-345.R
Saving _problems/test_Measure-376.R
Saving _problems/test_PredictionClassif-321.R
Saving _problems/test_Task-426.R
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Saving _problems/test_TaskClassif-122.R
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[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
══ Skipped tests (16) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() works ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:426:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
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_Task.R:528:3
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_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.7.1
Check: for new files in some other directories
Result: NOTE
Found the following files/directories:
‘~/tmp/scratch/Rtmp02oQ1h’ ‘~/tmp/scratch/Rtmp0KOj56’
‘~/tmp/scratch/Rtmp0lI4YD’ ‘~/tmp/scratch/Rtmp0rQG1J’
‘~/tmp/scratch/Rtmp15IxFv’ ‘~/tmp/scratch/Rtmp2MD56L’
‘~/tmp/scratch/Rtmp2QRR47’ ‘~/tmp/scratch/Rtmp2wQejg’
‘~/tmp/scratch/Rtmp2zCVLx’ ‘~/tmp/scratch/Rtmp3W1MMG’
‘~/tmp/scratch/Rtmp3e8zNS’ ‘~/tmp/scratch/Rtmp3jRC2m’
‘~/tmp/scratch/Rtmp3oqFKf’ ‘~/tmp/scratch/Rtmp4aStsu’
‘~/tmp/scratch/Rtmp4oUAQV’ ‘~/tmp/scratch/Rtmp54dclZ’
‘~/tmp/scratch/Rtmp58wXvJ’ ‘~/tmp/scratch/Rtmp5HKE3o’
‘~/tmp/scratch/Rtmp5Jwj9O’ ‘~/tmp/scratch/Rtmp6MnIrF’
‘~/tmp/scratch/Rtmp6YwxfI’ ‘~/tmp/scratch/Rtmp6kofbJ’
‘~/tmp/scratch/Rtmp6m0sKG’ ‘~/tmp/scratch/Rtmp6tAVFe’
‘~/tmp/scratch/Rtmp7BKYJh’ ‘~/tmp/scratch/Rtmp7Da3Mp’
‘~/tmp/scratch/Rtmp86DaFa’ ‘~/tmp/scratch/Rtmp89cFpn’
‘~/tmp/scratch/Rtmp8BHZ8T’ ‘~/tmp/scratch/Rtmp8EV68h’
‘~/tmp/scratch/Rtmp8IcYTi’ ‘~/tmp/scratch/Rtmp8YsgHH’
‘~/tmp/scratch/Rtmp8upasm’ ‘~/tmp/scratch/Rtmp8xl0B1’
‘~/tmp/scratch/Rtmp9i54ha’ ‘~/tmp/scratch/Rtmp9nmccH’
‘~/tmp/scratch/RtmpAEMsLQ’ ‘~/tmp/scratch/RtmpAEabZY’
‘~/tmp/scratch/RtmpAnTPIA’ ‘~/tmp/scratch/RtmpAvTkgU’
‘~/tmp/scratch/RtmpB6yPe8’ ‘~/tmp/scratch/RtmpBTj8gt’
‘~/tmp/scratch/RtmpBfS2W3’ ‘~/tmp/scratch/RtmpCCIEGf’
‘~/tmp/scratch/RtmpCV1sZn’ ‘~/tmp/scratch/RtmpDJgIP0’
‘~/tmp/scratch/RtmpDa1KFM’ ‘~/tmp/scratch/RtmpDhaZGn’
‘~/tmp/scratch/RtmpDzgSfU’ ‘~/tmp/scratch/RtmpEDgfS7’
‘~/tmp/scratch/RtmpEMiUeW’ ‘~/tmp/scratch/RtmpEZxEBh’
‘~/tmp/scratch/RtmpElXyaY’ ‘~/tmp/scratch/RtmpFjy5nr’
‘~/tmp/scratch/RtmpGDOmCN’ ‘~/tmp/scratch/RtmpGaSBkq’
‘~/tmp/scratch/RtmpGdipJR’ ‘~/tmp/scratch/RtmpH0NV8p’
‘~/tmp/scratch/RtmpHH50F0’ ‘~/tmp/scratch/RtmpHYifDD’
‘~/tmp/scratch/RtmpHtLJ69’ ‘~/tmp/scratch/RtmpI2ZnO0’
‘~/tmp/scratch/RtmpIMEakl’ ‘~/tmp/scratch/RtmpJIYpvd’
‘~/tmp/scratch/RtmpJRL1q6’ ‘~/tmp/scratch/RtmpK0Yqe0’
‘~/tmp/scratch/RtmpKFJXJ5’ ‘~/tmp/scratch/RtmpKTGWtt’
‘~/tmp/scratch/RtmpLX1Qf0’ ‘~/tmp/scratch/RtmpLzQy2V’
‘~/tmp/scratch/RtmpM5rRCG’ ‘~/tmp/scratch/RtmpMguOmf’
‘~/tmp/scratch/RtmpMzPnMT’ ‘~/tmp/scratch/RtmpNCaDbo’
‘~/tmp/scratch/RtmpNpjlMK’ ‘~/tmp/scratch/RtmpO8o31g’
‘~/tmp/scratch/RtmpOLniRa’ ‘~/tmp/scratch/RtmpOV2vOH’
‘~/tmp/scratch/RtmpOZmGuV’ ‘~/tmp/scratch/RtmpOfLIx2’
‘~/tmp/scratch/RtmpOjvGba’ ‘~/tmp/scratch/RtmpPBYC6b’
‘~/tmp/scratch/RtmpPi9h3s’ ‘~/tmp/scratch/RtmpQ2G534’
‘~/tmp/scratch/RtmpQ40MQN’ ‘~/tmp/scratch/RtmpQmBaGu’
‘~/tmp/scratch/RtmpR5H3tu’ ‘~/tmp/scratch/RtmpRNoGzL’
‘~/tmp/scratch/RtmpSOuAyG’ ‘~/tmp/scratch/RtmpSbCGpd’
‘~/tmp/scratch/RtmpSwouLd’ ‘~/tmp/scratch/RtmpT8n5rR’
‘~/tmp/scratch/RtmpTPrQ42’ ‘~/tmp/scratch/RtmpTRGfbQ’
‘~/tmp/scratch/RtmpTaAl4y’ ‘~/tmp/scratch/RtmpULrTJa’
‘~/tmp/scratch/RtmpUR5jNn’ ‘~/tmp/scratch/RtmpUTLEXc’
‘~/tmp/scratch/RtmpUnozEo’ ‘~/tmp/scratch/RtmpV1vGhw’
‘~/tmp/scratch/RtmpVw6uIN’ ‘~/tmp/scratch/RtmpWLNyAt’
‘~/tmp/scratch/RtmpWX5uJs’ ‘~/tmp/scratch/RtmpWZIIYf’
‘~/tmp/scratch/RtmpWqiUN2’ ‘~/tmp/scratch/RtmpX8a1xk’
‘~/tmp/scratch/RtmpXFL4Zl’ ‘~/tmp/scratch/RtmpXNemIs’
‘~/tmp/scratch/RtmpY7Ll0d’ ‘~/tmp/scratch/RtmpYZBWU3’
‘~/tmp/scratch/RtmpZT9FKb’ ‘~/tmp/scratch/RtmpZk4N5B’
‘~/tmp/scratch/Rtmpa02G58’ ‘~/tmp/scratch/RtmpaL4vcq’
‘~/tmp/scratch/RtmpaSB7a1’ ‘~/tmp/scratch/Rtmpb4pYWp’
‘~/tmp/scratch/Rtmpb5R3gy’ ‘~/tmp/scratch/RtmpbckPZz’
‘~/tmp/scratch/RtmpcBlEM8’ ‘~/tmp/scratch/RtmpcbjN8t’
‘~/tmp/scratch/RtmpcqKVeq’ ‘~/tmp/scratch/RtmpdMaiVT’
‘~/tmp/scratch/Rtmpe1H3DR’ ‘~/tmp/scratch/Rtmpe1aO5Y’
‘~/tmp/scratch/RtmpeE0PO5’ ‘~/tmp/scratch/RtmpeU7IYd’
‘~/tmp/scratch/RtmpfTTGjP’ ‘~/tmp/scratch/RtmpfWFNaI’
‘~/tmp/scratch/Rtmpfqd3ny’ ‘~/tmp/scratch/RtmpfrlXuk’
‘~/tmp/scratch/Rtmpfzxbij’ ‘~/tmp/scratch/Rtmph4WK3b’
‘~/tmp/scratch/Rtmph7cvBZ’ ‘~/tmp/scratch/RtmphKFP4h’
‘~/tmp/scratch/RtmphcWZ6M’ ‘~/tmp/scratch/Rtmphqf4el’
‘~/tmp/scratch/RtmpiCVMC2’ ‘~/tmp/scratch/RtmpiGU3tI’
‘~/tmp/scratch/RtmpiJPGyo’ ‘~/tmp/scratch/Rtmpiek8Wu’
‘~/tmp/scratch/RtmpifBphC’ ‘~/tmp/scratch/Rtmpihy7Hr’
‘~/tmp/scratch/RtmpjOik7g’ ‘~/tmp/scratch/RtmpjRyYNq’
‘~/tmp/scratch/RtmpjmG0UD’ ‘~/tmp/scratch/Rtmpk19L3a’
‘~/tmp/scratch/RtmpkuQKPc’ ‘~/tmp/scratch/Rtmpl2XQHK’
‘~/tmp/scratch/Rtmpl8h1va’ ‘~/tmp/scratch/Rtmpl8tXmU’
‘~/tmp/scratch/RtmplTpqOQ’ ‘~/tmp/scratch/RtmpmmRRjV’
‘~/tmp/scratch/Rtmpn3fUZ1’ ‘~/tmp/scratch/Rtmpn9nPmD’
‘~/tmp/scratch/Rtmpno0cxE’ ‘~/tmp/scratch/RtmpnqYYZz’
‘~/tmp/scratch/Rtmpo64r2I’ ‘~/tmp/scratch/RtmpoUNcLv’
‘~/tmp/scratch/RtmponEWyL’ ‘~/tmp/scratch/Rtmpoy2WhX’
‘~/tmp/scratch/Rtmppx1ERi’ ‘~/tmp/scratch/RtmpqIFUB1’
‘~/tmp/scratch/RtmpqKoPe1’ ‘~/tmp/scratch/RtmpqUmb0u’
‘~/tmp/scratch/RtmpqWzjkS’ ‘~/tmp/scratch/RtmpsdisBq’
‘~/tmp/scratch/RtmpsjtKs4’ ‘~/tmp/scratch/RtmpsrhYXJ’
‘~/tmp/scratch/RtmptNxspQ’ ‘~/tmp/scratch/RtmpteN5c1’
‘~/tmp/scratch/RtmpthxofV’ ‘~/tmp/scratch/RtmpuCNj4k’
‘~/tmp/scratch/RtmpuNdqDl’ ‘~/tmp/scratch/RtmpuZjGKh’
‘~/tmp/scratch/Rtmpv9d3BY’ ‘~/tmp/scratch/Rtmpw2NvPN’
‘~/tmp/scratch/RtmpwIl7eJ’ ‘~/tmp/scratch/RtmpwQRHVu’
‘~/tmp/scratch/Rtmpzf5fQ2’ ‘~/tmp/scratch/RtmpznlgFa’
‘~/tmp/scratch/RtmpzwQcRH’ ‘~/tmp/scratch/xvfb-run.0EyQct’
‘~/tmp/scratch/xvfb-run.0plRDe’ ‘~/tmp/scratch/xvfb-run.1i90Gj’
‘~/tmp/scratch/xvfb-run.2Zy1Ez’ ‘~/tmp/scratch/xvfb-run.3J7QGC’
‘~/tmp/scratch/xvfb-run.4gR8ed’ ‘~/tmp/scratch/xvfb-run.4jcoOA’
‘~/tmp/scratch/xvfb-run.6BJSA3’ ‘~/tmp/scratch/xvfb-run.6br6YK’
‘~/tmp/scratch/xvfb-run.6vqLrj’ ‘~/tmp/scratch/xvfb-run.7qjIcS’
‘~/tmp/scratch/xvfb-run.95Zeqy’ ‘~/tmp/scratch/xvfb-run.9u38x7’
‘~/tmp/scratch/xvfb-run.Aw1BcG’ ‘~/tmp/scratch/xvfb-run.D1rHSO’
‘~/tmp/scratch/xvfb-run.DftbB5’ ‘~/tmp/scratch/xvfb-run.Du1PBU’
‘~/tmp/scratch/xvfb-run.FJAoky’ ‘~/tmp/scratch/xvfb-run.Fc1YKj’
‘~/tmp/scratch/xvfb-run.G8OW1I’ ‘~/tmp/scratch/xvfb-run.GR8847’
‘~/tmp/scratch/xvfb-run.HFXEZD’ ‘~/tmp/scratch/xvfb-run.Jowiv7’
‘~/tmp/scratch/xvfb-run.KhSWyJ’ ‘~/tmp/scratch/xvfb-run.LCOHfp’
‘~/tmp/scratch/xvfb-run.LIDMs1’ ‘~/tmp/scratch/xvfb-run.MaMOu0’
‘~/tmp/scratch/xvfb-run.NLtMxN’ ‘~/tmp/scratch/xvfb-run.P8x1HH’
‘~/tmp/scratch/xvfb-run.PYQw9S’ ‘~/tmp/scratch/xvfb-run.QO9E6b’
‘~/tmp/scratch/xvfb-run.R3aAid’ ‘~/tmp/scratch/xvfb-run.Ug2Rbz’
‘~/tmp/scratch/xvfb-run.VaXfed’ ‘~/tmp/scratch/xvfb-run.VdoHbz’
‘~/tmp/scratch/xvfb-run.VhmeDA’ ‘~/tmp/scratch/xvfb-run.WIXy59’
‘~/tmp/scratch/xvfb-run.WJfFKM’ ‘~/tmp/scratch/xvfb-run.WLVmqw’
‘~/tmp/scratch/xvfb-run.Wd4oaT’ ‘~/tmp/scratch/xvfb-run.XdsQcm’
‘~/tmp/scratch/xvfb-run.Xs41go’ ‘~/tmp/scratch/xvfb-run.Ybh2RF’
‘~/tmp/scratch/xvfb-run.ZWkcrP’ ‘~/tmp/scratch/xvfb-run.aGGohJ’
‘~/tmp/scratch/xvfb-run.eWuQir’ ‘~/tmp/scratch/xvfb-run.fYuk2e’
‘~/tmp/scratch/xvfb-run.fZp3AC’ ‘~/tmp/scratch/xvfb-run.gzI92t’
‘~/tmp/scratch/xvfb-run.hwzF54’ ‘~/tmp/scratch/xvfb-run.iM9vlH’
‘~/tmp/scratch/xvfb-run.iV0QV2’ ‘~/tmp/scratch/xvfb-run.ivGQL1’
‘~/tmp/scratch/xvfb-run.j7NmX5’ ‘~/tmp/scratch/xvfb-run.jJWwTf’
‘~/tmp/scratch/xvfb-run.jZP1VQ’ ‘~/tmp/scratch/xvfb-run.jtPEKD’
‘~/tmp/scratch/xvfb-run.kDaQ9M’ ‘~/tmp/scratch/xvfb-run.kQSLNd’
‘~/tmp/scratch/xvfb-run.lOlEig’ ‘~/tmp/scratch/xvfb-run.m5RNJ8’
‘~/tmp/scratch/xvfb-run.prNp9H’ ‘~/tmp/scratch/xvfb-run.q2r13f’
‘~/tmp/scratch/xvfb-run.qQOPA1’ ‘~/tmp/scratch/xvfb-run.rDQMkN’
‘~/tmp/scratch/xvfb-run.rkX1al’ ‘~/tmp/scratch/xvfb-run.s5e377’
‘~/tmp/scratch/xvfb-run.tX7jCL’ ‘~/tmp/scratch/xvfb-run.trHMkU’
‘~/tmp/scratch/xvfb-run.uBsGea’ ‘~/tmp/scratch/xvfb-run.v8lhsq’
‘~/tmp/scratch/xvfb-run.vwJbtI’ ‘~/tmp/scratch/xvfb-run.wKxi5u’
‘~/tmp/scratch/xvfb-run.wXBLwy’ ‘~/tmp/scratch/xvfb-run.xuckPz’
‘~/tmp/scratch/xvfb-run.y3jMbP’ ‘~/tmp/scratch/xvfb-run.ygkRYV’
‘~/tmp/scratch/xvfb-run.zHK69u’ ‘~/tmp/scratch/xvfb-run.ze5aJt’
‘~/tmp/scratch/xvfb-run.zpw8D7’ ‘~/tmp/scratch/xvfb-run.zt1Gax’
‘/dev/shm/sm_segment.gimli1.1001.c7b70000.0’
‘~/.cache/pocl/uncached/tempfile_9HZ3iL’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.7.1
Check: examples
Result: ERROR
Running examples in ‘mlr3-Ex.R’ failed
The error most likely occurred in:
> ### Name: HotstartStack
> ### Title: Stack for Hot Start Learners
> ### Aliases: HotstartStack
>
> ### ** Examples
>
> # train learner on pima task
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 1.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [414s/525s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
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[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
══ Skipped tests (16) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
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. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() 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_Task.R:426:3
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_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:528:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [204s/282s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
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Saving _problems/test_hotstart-216.R
Saving _problems/test_hotstart-239.R
Saving _problems/test_mlr_callbacks-2.R
Saving _problems/test_mlr_callbacks-19.R
Saving _problems/test_mlr_learners_classif_debug-50.R
Saving _problems/test_mlr_learners_classif_rpart-76.R
Saving _problems/test_mlr_learners_regr_rpart-68.R
Saving _problems/test_mlr_reflections-54.R
Saving _problems/test_mlr_tasks-2.R
Saving _problems/test_mlr_tasks-18.R
Saving _problems/test_mlr_tasks-32.R
Saving _problems/test_parallel_mirai-6.R
Saving _problems/test_parallel_mirai-17.R
Saving _problems/test_parallel_mirai-34.R
Saving _problems/test_parallel_mirai-128.R
Saving _problems/test_partition-2.R
Saving _problems/test_partition-15.R
Saving _problems/test_resample-532.R
Saving _problems/test_resultdata-25.R
Saving _problems/test_score_roc_measures-3.R
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
══ Skipped tests (16) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() works ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:426:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
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_Task.R:528:3
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_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [377s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
Saving _problems/test_CallbackResample-25.R
Saving _problems/test_CallbackResample-45.R
Saving _problems/test_CallbackResample-64.R
Saving _problems/test_CallbackResample-86.R
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Saving _problems/test_ContextEvaluation-2.R
Saving _problems/test_HotstartStack-2.R
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Saving _problems/test_Learner-44.R
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Saving _problems/test_LearnerClassif-107.R
Saving _problems/test_Measure-345.R
Saving _problems/test_Measure-376.R
Saving _problems/test_PredictionClassif-321.R
Saving _problems/test_Task-426.R
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Saving _problems/test_TaskClassif-122.R
Saving _problems/test_benchmark-81.R
Saving _problems/test_benchmark-164.R
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Saving _problems/test_encapsulate-143.R
Saving _problems/test_hotstart-2.R
Saving _problems/test_hotstart-18.R
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Saving _problems/test_mlr_callbacks-2.R
Saving _problems/test_mlr_callbacks-19.R
Saving _problems/test_mlr_learners_classif_debug-50.R
Saving _problems/test_mlr_learners_classif_rpart-76.R
Saving _problems/test_mlr_learners_regr_rpart-68.R
Saving _problems/test_mlr_reflections-54.R
Saving _problems/test_mlr_tasks-2.R
Saving _problems/test_mlr_tasks-18.R
Saving _problems/test_mlr_tasks-32.R
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Saving _problems/test_parallel_mirai-17.R
Saving _problems/test_parallel_mirai-34.R
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Saving _problems/test_partition-2.R
Saving _problems/test_partition-15.R
Saving _problems/test_resample-532.R
Saving _problems/test_resultdata-25.R
Saving _problems/test_score_roc_measures-3.R
[ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ]
══ Skipped tests (17) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• On Windows (1): 'test_parallel_future.R:72:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
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. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() 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_Task.R:426:3
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_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:528:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Version: 1.7.1
Check: examples
Result: ERROR
Running examples in ‘mlr3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: HotstartStack
> ### Title: Stack for Hot Start Learners
> ### Aliases: HotstartStack
>
> ### ** Examples
>
> # train learner on pima task
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
BenchmarkResult 3.579 0.085 6.039
Flavor: r-patched-linux-x86_64
Version: 1.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [316s/556s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
Saving _problems/test_CallbackResample-25.R
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Saving _problems/test_ContextEvaluation-2.R
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Saving _problems/test_Measure-345.R
Saving _problems/test_Measure-376.R
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Saving _problems/test_TaskClassif-122.R
Saving _problems/test_benchmark-81.R
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Saving _problems/test_mlr_callbacks-19.R
Saving _problems/test_mlr_learners_classif_debug-50.R
Saving _problems/test_mlr_learners_classif_rpart-76.R
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Saving _problems/test_mlr_reflections-54.R
Saving _problems/test_mlr_tasks-2.R
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Saving _problems/test_partition-2.R
Saving _problems/test_partition-15.R
Saving _problems/test_resample-532.R
Saving _problems/test_resultdata-25.R
Saving _problems/test_score_roc_measures-3.R
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
══ Skipped tests (16) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() works ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:426:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
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_Task.R:528:3
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_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
Error:
! Test failures.
Execution halted
Flavor: r-patched-linux-x86_64
Version: 1.7.1
Check: examples
Result: ERROR
Running examples in ‘mlr3-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: HotstartStack
> ### Title: Stack for Hot Start Learners
> ### Aliases: HotstartStack
>
> ### ** Examples
>
> # train learner on pima task
> task = tsk("pima")
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsk ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
BenchmarkResult 4.027 0.217 6.96
Flavor: r-release-linux-x86_64
Version: 1.7.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [316s/574s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
Saving _problems/test_CallbackResample-25.R
Saving _problems/test_CallbackResample-45.R
Saving _problems/test_CallbackResample-64.R
Saving _problems/test_CallbackResample-86.R
Saving _problems/test_CallbackResample-117.R
Saving _problems/test_CallbackResample-151.R
Saving _problems/test_CallbackResample-170.R
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[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
══ Skipped tests (16) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
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. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() 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_Task.R:426:3
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_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:528:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 16 | PASS 14401 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64
Version: 1.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [378s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
Saving _problems/test_CallbackResample-25.R
Saving _problems/test_CallbackResample-45.R
Saving _problems/test_CallbackResample-64.R
Saving _problems/test_CallbackResample-86.R
Saving _problems/test_CallbackResample-117.R
Saving _problems/test_CallbackResample-151.R
Saving _problems/test_CallbackResample-170.R
Saving _problems/test_CallbackResample-199.R
Saving _problems/test_CallbackResample-228.R
Saving _problems/test_ContextEvaluation-2.R
Saving _problems/test_HotstartStack-2.R
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Saving _problems/test_HotstartStack-398.R
Saving _problems/test_Learner-44.R
Saving _problems/test_Learner-334.R
Saving _problems/test_LearnerClassif-3.R
Saving _problems/test_LearnerClassif-14.R
Saving _problems/test_LearnerClassif-21.R
Saving _problems/test_LearnerClassif-34.R
Saving _problems/test_LearnerClassif-58.R
Saving _problems/test_LearnerClassif-83.R
Saving _problems/test_LearnerClassif-107.R
Saving _problems/test_Measure-345.R
Saving _problems/test_Measure-376.R
Saving _problems/test_PredictionClassif-321.R
Saving _problems/test_Task-426.R
Saving _problems/test_Task-528.R
Saving _problems/test_Task-539.R
Saving _problems/test_Task-991.R
Saving _problems/test_Task-1013.R
Saving _problems/test_TaskClassif-122.R
Saving _problems/test_benchmark-81.R
Saving _problems/test_benchmark-164.R
Saving _problems/test_benchmark-441.R
Saving _problems/test_benchmark-667.R
Saving _problems/test_benchmark-692.R
Saving _problems/test_benchmark-845.R
Saving _problems/test_encapsulate-143.R
Saving _problems/test_hotstart-2.R
Saving _problems/test_hotstart-18.R
Saving _problems/test_hotstart-32.R
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Saving _problems/test_hotstart-216.R
Saving _problems/test_hotstart-239.R
Saving _problems/test_mlr_callbacks-2.R
Saving _problems/test_mlr_callbacks-19.R
Saving _problems/test_mlr_learners_classif_debug-50.R
Saving _problems/test_mlr_learners_classif_rpart-76.R
Saving _problems/test_mlr_learners_regr_rpart-68.R
Saving _problems/test_mlr_reflections-54.R
Saving _problems/test_mlr_tasks-2.R
Saving _problems/test_mlr_tasks-18.R
Saving _problems/test_mlr_tasks-32.R
Saving _problems/test_parallel_mirai-6.R
Saving _problems/test_parallel_mirai-17.R
Saving _problems/test_parallel_mirai-34.R
Saving _problems/test_parallel_mirai-128.R
Saving _problems/test_partition-2.R
Saving _problems/test_partition-15.R
Saving _problems/test_resample-532.R
Saving _problems/test_resultdata-25.R
Saving _problems/test_score_roc_measures-3.R
[ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ]
══ Skipped tests (17) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• On Windows (1): 'test_parallel_future.R:72:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
2. │ └─testthat:::expect_condition_matching_(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() works ──────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:426:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
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_Task.R:528:3
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_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-windows-x86_64
Version: 1.7.1
Check: tests
Result: ERROR
Running 'testthat.R' [520s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("checkmate")
+ library("testthat")
+ library("mlr3")
+ test_check("mlr3")
+ }
Saving _problems/test_CallbackResample-4.R
Saving _problems/test_CallbackResample-25.R
Saving _problems/test_CallbackResample-45.R
Saving _problems/test_CallbackResample-64.R
Saving _problems/test_CallbackResample-86.R
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Saving _problems/test_CallbackResample-199.R
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Saving _problems/test_ContextEvaluation-2.R
Saving _problems/test_HotstartStack-2.R
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Saving _problems/test_Learner-44.R
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Saving _problems/test_LearnerClassif-3.R
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Saving _problems/test_LearnerClassif-107.R
Saving _problems/test_Measure-345.R
Saving _problems/test_Measure-376.R
Saving _problems/test_PredictionClassif-321.R
Saving _problems/test_Task-426.R
Saving _problems/test_Task-528.R
Saving _problems/test_Task-539.R
Saving _problems/test_Task-991.R
Saving _problems/test_Task-1013.R
Saving _problems/test_TaskClassif-122.R
Saving _problems/test_benchmark-81.R
Saving _problems/test_benchmark-164.R
Saving _problems/test_benchmark-441.R
Saving _problems/test_benchmark-667.R
Saving _problems/test_benchmark-692.R
Saving _problems/test_benchmark-845.R
Saving _problems/test_encapsulate-143.R
Saving _problems/test_hotstart-2.R
Saving _problems/test_hotstart-18.R
Saving _problems/test_hotstart-32.R
Saving _problems/test_hotstart-49.R
Saving _problems/test_hotstart-64.R
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Saving _problems/test_hotstart-92.R
Saving _problems/test_hotstart-106.R
Saving _problems/test_hotstart-120.R
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Saving _problems/test_hotstart-216.R
Saving _problems/test_hotstart-239.R
Saving _problems/test_mlr_callbacks-2.R
Saving _problems/test_mlr_callbacks-19.R
Saving _problems/test_mlr_learners_classif_debug-50.R
Saving _problems/test_mlr_learners_classif_rpart-76.R
Saving _problems/test_mlr_learners_regr_rpart-68.R
Saving _problems/test_mlr_reflections-54.R
Saving _problems/test_mlr_tasks-2.R
Saving _problems/test_mlr_tasks-18.R
Saving _problems/test_mlr_tasks-32.R
Saving _problems/test_parallel_mirai-6.R
Saving _problems/test_parallel_mirai-17.R
Saving _problems/test_parallel_mirai-34.R
Saving _problems/test_parallel_mirai-128.R
Saving _problems/test_partition-2.R
Saving _problems/test_partition-15.R
Saving _problems/test_resample-532.R
Saving _problems/test_resultdata-25.R
Saving _problems/test_score_roc_measures-3.R
[ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ]
══ Skipped tests (17) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (13): 'test_Learner.R:672:3', 'test_Learner.R:939:3',
'test_Learner.R:967:3', 'test_Learner.R:995:3', 'test_Learner.R:1034:3',
'test_Learner.R:1263:3', 'test_Learner.R:1316:3', 'test_Learner.R:1369:3',
'test_Measure.R:131:3', 'test_Task.R:907:1', 'test_parallel_future.R:103:3',
'test_parallel_mirai.R:61:3', 'test_parallel_mirai.R:83:3'
• On Windows (1): 'test_parallel_future.R:72:3'
• empty test (1): 'test_Task.R:968:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:4:3'): on_resample_begin 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_CallbackResample.R:4:3
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_CallbackResample.R:25:3'): on_resample_before_train 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_CallbackResample.R:25:3
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_CallbackResample.R:45:3'): on_resample_before_predict 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_CallbackResample.R:45:3
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_CallbackResample.R:64:3'): on_resample_end 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_CallbackResample.R:64:3
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_CallbackResample.R:86:3'): writing to learner$state 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_CallbackResample.R:86:3
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_CallbackResample.R:117:3'): writing to data_extra 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_CallbackResample.R:117:3
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_CallbackResample.R:151:3'): data_extra is a list column ────────
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_CallbackResample.R:151:3
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_CallbackResample.R:170:3'): data_extra is null ─────────────────
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_CallbackResample.R:170:3
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_CallbackResample.R:199:3'): learner cloning in workhorse is passed to context ──
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_CallbackResample.R:199:3
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_CallbackResample.R:228:3'): returning data_extra sometimes 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_CallbackResample.R:228:3
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_ContextEvaluation.R:2:3'): ContextResample 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_ContextEvaluation.R:2:3
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_HotstartStack.R:2:3'): HotstartStack works with forward target learner and increased hotstart parameter ──
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_HotstartStack.R:2:3
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_HotstartStack.R:18:3'): HotstartStack works with forward target learner when hotstart learner is different ──
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_HotstartStack.R:18:3
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_HotstartStack.R:31:3'): HotstartStack works with forward target learner when cost of hotstarting is 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_HotstartStack.R:31:3
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_HotstartStack.R:45:3'): HotstartStack works when hotstart values are lower and higher for forward target ──
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_HotstartStack.R:45:3
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_HotstartStack.R:61:3'): HotstartStack works when forward hotstart and target learner 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_HotstartStack.R:61:3
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_HotstartStack.R:75:3'): HotstartStack works with forward target learner when hotstart values are only higher ──
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_HotstartStack.R:75:3
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_HotstartStack.R:91:3'): HotstartStack works with forward target when learners differ and values vary ──
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_HotstartStack.R:91:3
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_HotstartStack.R:109:3'): HotstartStack works when forward target learner is unable to hotstart ──
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_HotstartStack.R:109:3
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_HotstartStack.R:123:3'): HotstartStack works when stack is empty ──
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_HotstartStack.R:123:3
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_HotstartStack.R:132:3'): HotstartStack works with backward target learner and decreased hotstart parameter ──
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_HotstartStack.R:132:3
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_HotstartStack.R:147:3'): HotstartStack works with backward target learner when cost of hotstarting is 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_HotstartStack.R:147:3
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_HotstartStack.R:162:3'): HotstartStack works when hotstart values are lower and higher for backward target ──
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_HotstartStack.R:162:3
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_HotstartStack.R:179:3'): HotstartStack works when backward hotstart and target learner 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_HotstartStack.R:179:3
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_HotstartStack.R:195:3'): HotstartStack works with backward target learner when hotstart values are only lower ──
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_HotstartStack.R:195:3
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_HotstartStack.R:210:3'): HotstartStack works with backward target when learners differ and values vary ──
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_HotstartStack.R:210:3
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_HotstartStack.R:229:3'): HotstartStack works with forward/backward target learner and increased hotstart parameter ──
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_HotstartStack.R:229:3
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_HotstartStack.R:246:3'): HotstartStack works with forward/backward target learner when cost of hotstarting is 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_HotstartStack.R:246:3
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_HotstartStack.R:261:3'): HotstartStack works when hotstart values are lower and higher for forward/backward target ──
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_HotstartStack.R:261:3
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_HotstartStack.R:278:3'): HotstartStack works when forward/backward hotstart and target learner 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_HotstartStack.R:278:3
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_HotstartStack.R:293:3'): HotstartStack works with forward/backward target learner when hotstart values are only higher ──
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_HotstartStack.R:293:3
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_HotstartStack.R:308:3'): HotstartStack works with forward/backward target learner when hotstart values are only lower ──
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_HotstartStack.R:308:3
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_HotstartStack.R:323:3'): HotstartStack works with forward/backward target when learners differ and values vary ──
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_HotstartStack.R:323:3
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_HotstartStack.R:342:3'): HotstartStack add method 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_HotstartStack.R:342:3
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_HotstartStack.R:357:3'): copying state of learner 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_HotstartStack.R:357:3
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_HotstartStack.R:373:3'): HotstartStack works without hotstart parameter ──
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_HotstartStack.R:373:3
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_HotstartStack.R:387:3'): Learners without a model are not added to the hotstart stack ──
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_HotstartStack.R:387:3
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_HotstartStack.R:398:3'): HotstartStack threshold 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_HotstartStack.R:398:3
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_Learner.R:44:3'): task is checked in train() / predict() ───────
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(learner$train(tsk("pima")), "type") at test_Learner.R:44:3
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. ├─learner$train(tsk("pima"))
8. │ └─mlr3:::.__Learner__train(...)
9. │ ├─mlr3::assert_task(as_task(task))
10. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
11. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
12. │ └─mlr3::as_task(task)
13. └─mlr3::tsk("pima")
14. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
15. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
16. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
17. ├─base::do.call(constructor, cargs)
18. └─mlr3 (local) `<fn>`()
19. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Learner.R:334:3'): Error on missing data (#413) ────────────────
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_Learner.R:334:3
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_LearnerClassif.R:3:3'): LearnerClassif predict_newdata_fast response 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_LearnerClassif.R:3:3
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_LearnerClassif.R:14:3'): LearnerClassif predict_newdata_fast errors on untrained learner ──
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_LearnerClassif.R:14:3
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_LearnerClassif.R:21:3'): LearnerClassif predict_newdata_fast prob 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_LearnerClassif.R:21:3
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_LearnerClassif.R:34:3'): LearnerClassif predict_newdata_fast works with missing values ──
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_LearnerClassif.R:34:3
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_LearnerClassif.R:58:3'): LearnerClassif predict_newdata_fast works with failed train ──
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_LearnerClassif.R:58:3
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_LearnerClassif.R:83:3'): LearnerClassif predict_newdata_fast restores fallback state after parallel resample ──
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_LearnerClassif.R:83:3
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_LearnerClassif.R:107:3'): LearnerClassif predict_newdata_fast syncs fallback predict_type ──
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_LearnerClassif.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_Measure.R:345:3'): measure and prediction type is checked ──────
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_Measure.R:345:3
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_Measure.R:376:3'): obs_loss 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_Measure.R:376:3
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_PredictionClassif.R:321:3'): obs_loss 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_PredictionClassif.R:321:3
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_Task.R:426:3'): task$missings() 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_Task.R:426:3
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_Task.R:528:3'): Task$set_row_roles ─────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_Task.R:528:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_Task.R:539:3'): Task$set_col_roles ─────────────────────────────
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_Task.R:539:3
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_Task.R:991:3'): row_hash works correctly ───────────────────────
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_Task.R:991:3
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_Task.R:1013:3'): row_ids_backend works correctly ───────────────
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_Task.R:1013:3
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_TaskClassif.R:122:3'): offset column role works with binary tasks ──
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_TaskClassif.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_benchmark.R:81:3'): bmr$combine() ──────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::benchmark(...) at test_benchmark.R:81:3
2. │ └─checkmate::assert_data_frame(design, min.rows = 1L)
3. │ └─checkmate::checkDataFrame(...)
4. │ └─... %and% checkListTypes(x, types)
5. │ └─base::isTRUE(lhs)
6. ├─mlr3::benchmark_grid(mlr_tasks$mget("pima"), learners, resamplings)
7. │ ├─mlr3::assert_tasks(as_tasks(tasks))
8. │ │ └─checkmate::assert_list(tasks, types = "Task")
9. │ │ └─checkmate::checkList(...)
10. │ │ └─... %and% checkListTypes(x, types)
11. │ │ └─base::isTRUE(lhs)
12. │ └─mlr3::as_tasks(tasks)
13. └─mlr_tasks$mget("pima")
14. ├─mlr3misc::set_names(lapply(keys, self$get, ...), keys)
15. └─base::lapply(keys, self$get, ...)
16. └─mlr3misc (local) FUN(X[[i]], ...)
17. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
18. │ └─base::eval.parent(expr, n = 1L)
19. │ └─base::eval(expr, p)
20. │ └─base::eval(expr, p)
21. └─mlr3misc:::dictionary_get(self = self, key = key)
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_benchmark.R:164:3'): resampling validation in benchmark_grid ───
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_benchmark.R:164:3
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_benchmark.R:441:3'): benchmark_grid works if paired = TRUE ─────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "iris")) at test_benchmark.R:441:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_benchmark.R:667:3'): score works with predictions and empty predictions ──
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_benchmark.R:667:3
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_benchmark.R:692:3'): benchmark allows that param_values overwrites tune token ──
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_benchmark.R:692:3
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_benchmark.R:845:3'): resampling validation ─────────────────────
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_benchmark.R:845:3
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_encapsulate.R:143:7'): mirai compute profile can be changed ────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_encapsulate.R:140:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_encapsulate.R:143:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:2:3'): learner is hotstarted when the hotstart parameter is increased ──
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_hotstart.R:2:3
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_hotstart.R:18:3'): learner is directly returned when hotstart and target learner 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_hotstart.R:18:3
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_hotstart.R:32:3'): learner is trained when target learner has an additional non-hotstart parameter ──
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_hotstart.R:32:3
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_hotstart.R:49:3'): learner is trained when target learner has an additional hotstart parameter ──
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_hotstart.R:49:3
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_hotstart.R:64:3'): learner is trained when target learner when both hotstart and non-hotstart parameters are increased ──
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_hotstart.R:64:3
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_hotstart.R:78:3'): learner is trained when the hotstart parameter are equal but the non-hotstart parameter is altered ──
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_hotstart.R:78:3
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_hotstart.R:92:3'): learner is hotstarted when the non-hotstart parameter are equal but the hotstart parameter is increased ──
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_hotstart.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_hotstart.R:106:3'): learner is trained when the task is different ──
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_hotstart.R:106:3
2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor, cargs)
6. └─mlr3 (local) `<fn>`()
7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_hotstart.R:120:3'): learner is trained when the stack is empty ──
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_hotstart.R:120:3
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_hotstart.R:129:3'): learners are hotstarted when resample is used ──
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_hotstart.R:129:3
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_hotstart.R:151:3'): learners are hotstarted when benchmark is called ──
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_hotstart.R:151:3
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_hotstart.R:180:3'): learners are trained and hotstarted when benchmark is called ──
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_hotstart.R:180:3
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_hotstart.R:216:3'): learners are cloned when hotstarting is applied ──
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_hotstart.R:216:3
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_hotstart.R:239:3'): hotstarting works when col role is set in task ──
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_hotstart.R:239:3
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_lgr.R:42:3'): logger works ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:42:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─mlr3::resample(...)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_lgr.R:73:5'): thresholds are restored on workers ───────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:72:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. ├─mlr3::resample(...) at test_lgr.R:73:5
10. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
11. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
12. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
13. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
14. └─mlr3::tsk("pima")
15. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
16. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
17. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
18. ├─base::do.call(constructor, cargs)
19. └─mlr3 (local) `<fn>`()
20. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_callbacks.R:2:3'): model extractor 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_mlr_callbacks.R:2:3
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:19:3'): holdout task 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_mlr_callbacks.R:19:3
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_learners_classif_debug.R:50:3'): default_values ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_debug.R:50:3
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_learners_classif_rpart.R:76:3'): default_values on rpart ───
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_classif_rpart.R:76:3
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_learners_regr_rpart.R:68:3'): default_values on rpart ──────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsk("pima") at test_mlr_learners_regr_rpart.R:68:3
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_reflections.R:54:1'): (code run outside of `test_that()`) ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) at test_mlr_reflections.R:54:1
── Error ('test_mlr_tasks.R:2:3'): mlr_tasks ───────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─global expect_dictionary(mlr_tasks, min_items = 1L) at test_mlr_tasks.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3:::as.data.table.DictionaryTask(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3 (local) FUN(X[[i]], ...)
14. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
15. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
16. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
17. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
18. └─x$get(key)
19. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
20. │ └─base::eval.parent(expr, n = 1L)
21. │ └─base::eval(expr, p)
22. │ └─base::eval(expr, p)
23. └─mlr3misc:::dictionary_get(self = self, key = key)
24. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
25. ├─base::do.call(constructor, cargs)
26. └─mlr3 (local) `<fn>`()
27. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:18:5'): load_x ─────────────────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global expect_task_supervised(fun()) at test_mlr_tasks.R:18:5
2. │ └─checkmate::expect_r6(task, "TaskSupervised", cloneable = TRUE)
3. │ └─checkmate::checkR6(...)
4. └─mlr3 (local) fun()
5. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_mlr_tasks.R:32:3'): as.data.table(..., objects = TRUE) ─────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tasks, objects = TRUE) at test_mlr_tasks.R:32:3
2. └─mlr3:::as.data.table.DictionaryTask(mlr_tasks, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3 (local) FUN(X[[i]], ...)
11. ├─base::tryCatch(x$get(key), missingDefaultError = function(e) NULL)
12. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
13. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
14. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor, cargs)
23. └─mlr3 (local) `<fn>`()
24. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:6:7'): parallel resample ──────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:6:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:17:3'): parallel benchmark ────────────────────
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_parallel_mirai.R:17:3
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_parallel_mirai.R:34:7'): mirai resample is reproducible ────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:32:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:34:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_parallel_mirai.R:128:7'): mirai compute profile can be changed ──
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:125:3
2. │ └─base::force(expr)
3. └─mlr3::tsk("pima") at test_parallel_mirai.R:128:7
4. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_partition.R:2:3'): partition two way split ─────────────────────
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_partition.R:2:3
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_partition.R:15:3'): partition three way split ──────────────────
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_partition.R:15:3
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_resample.R:532:3'): resampling instantiated on a different task throws 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_resample.R:532:3
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. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), resampling)
8. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
9. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
10. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
11. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
12. └─mlr3::tsk("pima")
13. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
14. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
15. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
16. ├─base::do.call(constructor, cargs)
17. └─mlr3 (local) `<fn>`()
18. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_resultdata.R:25:3'): results are ordered ───────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::resample(tsk("pima"), lrn("classif.rpart"), rsmp("holdout")) at test_resultdata.R:25:3
2. │ ├─mlr3::assert_task(as_task(task, clone = "task" %chin% clone))
3. │ │ └─checkmate::assert_class(task, "Task", .var.name = .var.name)
4. │ │ └─checkmate::checkClass(x, classes, ordered, null.ok)
5. │ └─mlr3::as_task(task, clone = "task" %chin% clone)
6. └─mlr3::tsk("pima")
7. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor, cargs)
11. └─mlr3 (local) `<fn>`()
12. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
── Error ('test_score_roc_measures.R:3:3'): score_roc_measure works ────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. ├─mlr3::partition(task = tsk("pima"), ratio = 0.7) at test_score_roc_measures.R:3:3
2. └─mlr3::tsk("pima")
3. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor, cargs)
7. └─mlr3 (local) `<fn>`()
8. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 97 | WARN 97 | SKIP 17 | PASS 14201 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-windows-x86_64