Last updated on 2025-12-19 17:49:52 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.3.0 | 34.46 | 644.58 | 679.04 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.3.0 | 19.53 | 397.07 | 416.60 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.3.0 | 57.00 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.3.0 | 53.00 | 555.00 | 608.00 | ERROR | |
| r-devel-windows-x86_64 | 1.3.0 | 34.00 | 658.00 | 692.00 | OK | |
| r-patched-linux-x86_64 | 1.3.0 | 48.68 | 520.36 | 569.04 | OK | |
| r-release-linux-x86_64 | 1.3.0 | 32.65 | 520.37 | 553.02 | OK | |
| r-release-macos-arm64 | 1.3.0 | 7.00 | 158.00 | 165.00 | OK | |
| r-release-macos-x86_64 | 1.3.0 | 22.00 | 606.00 | 628.00 | OK | |
| r-release-windows-x86_64 | 1.3.0 | 39.00 | 577.00 | 616.00 | OK | |
| r-oldrel-macos-arm64 | 1.3.0 | 7.00 | 154.00 | 161.00 | OK | |
| r-oldrel-macos-x86_64 | 1.3.0 | 23.00 | 699.00 | 722.00 | NOTE | |
| r-oldrel-windows-x86_64 | 1.3.0 | 46.00 | 834.00 | 880.00 | OK |
Version: 1.3.0
Check: examples
Result: ERROR
Running examples in ‘mlr3-Ex.R’ failed
The error most likely occurred in:
> ### Name: BenchmarkResult
> ### Title: Container for Benchmarking Results
> ### Aliases: BenchmarkResult
>
> ### ** Examples
>
> set.seed(123)
> learners = list(
+ lrn("classif.featureless", predict_type = "prob"),
+ lrn("classif.rpart", predict_type = "prob")
+ )
>
> design = benchmark_grid(
+ tasks = list(tsk("sonar"), tsk("penguins")),
+ learners = learners,
+ resamplings = rsmp("cv", folds = 3)
+ )
> print(design)
task learner resampling
<char> <char> <char>
1: sonar classif.featureless cv
2: sonar classif.rpart cv
3: penguins classif.featureless cv
4: penguins classif.rpart cv
>
> bmr = benchmark(design)
INFO [12:29:24.656] [mlr3] Running benchmark with 12 resampling iterations
INFO [12:29:24.960] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:29:25.060] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:29:25.122] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:29:25.171] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:29:25.269] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:29:25.416] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:29:25.494] [mlr3] Applying learner 'classif.featureless' on task 'penguins' (iter 1/3)
INFO [12:29:25.565] [mlr3] Applying learner 'classif.featureless' on task 'penguins' (iter 2/3)
INFO [12:29:25.605] [mlr3] Applying learner 'classif.featureless' on task 'penguins' (iter 3/3)
INFO [12:29:25.652] [mlr3] Applying learner 'classif.rpart' on task 'penguins' (iter 1/3)
INFO [12:29:25.711] [mlr3] Applying learner 'classif.rpart' on task 'penguins' (iter 2/3)
INFO [12:29:25.769] [mlr3] Applying learner 'classif.rpart' on task 'penguins' (iter 3/3)
INFO [12:29:25.864] [mlr3] Finished benchmark
Error in `[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash") :
attempt access index 9/9 in VECTOR_ELT
Calls: benchmark ... initialize -> .__ResultData__initialize -> [ -> [.data.table
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [247s/375s]
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-20.R
Saving _problems/test_CallbackResample-39.R
Saving _problems/test_CallbackResample-58.R
Saving _problems/test_CallbackResample-77.R
Saving _problems/test_CallbackResample-94.R
Saving _problems/test_CallbackResample-127.R
Saving _problems/test_CallbackResample-162.R
Saving _problems/test_CallbackResample-184.R
Saving _problems/test_CallbackResample-225.R
Saving _problems/test_CallbackResample-244.R
Saving _problems/test_Learner-197.R
Saving _problems/test_Learner-479.R
Saving _problems/test_Learner-562.R
<Mlr3TestError:
x a
> Class: Mlr3TestError
>
<Mlr3ErrorLearnerNoModel:
x No model stored
> Class: Mlr3ErrorLearnerNoModel
>
Saving _problems/test_Learner-1021.R
Saving _problems/test_Measure-21.R
Saving _problems/test_Measure-66.R
Saving _problems/test_Measure-90.R
Saving _problems/test_Measure-106.R
Saving _problems/test_Measure-122.R
Saving _problems/test_Measure-199.R
Saving _problems/test_Measure-285.R
Saving _problems/test_Measure-306.R
Saving _problems/test_MeasureInternalValidScore-5.R
Saving _problems/test_MeasureRegrRSQ-112.R
Saving _problems/test_MeasureRegrRSQ-183.R
Saving _problems/test_PredictionClassif-119.R
Saving _problems/test_PredictionRegr-22.R
Saving _problems/test_PredictionRegr-44.R
Saving _problems/test_Task-874.R
Saving _problems/test_Task-1031.R
Saving _problems/test_autotest-60.R
Saving _problems/test_autotest-162.R
Saving _problems/test_benchmark-6.R
Saving _problems/test_encapsulate-49.R
Saving _problems/test_encapsulate-87.R
Saving _problems/test_errorhandling-63.R
Saving _problems/test_errorhandling-80.R
Saving _problems/test_fallback-48.R
Saving _problems/test_fallback-65.R
Saving _problems/test_hotstart-134.R
Saving _problems/test_hotstart-158.R
Saving _problems/test_hotstart-187.R
Saving _problems/test_hotstart-222.R
Saving _problems/test_hotstart-246.R
Saving _problems/test_install_pkgs-25.R
Saving _problems/test_lgr-20.R
Saving _problems/test_mlr_callbacks-9.R
Saving _problems/test_mlr_callbacks-30.R
Saving _problems/test_mlr_learners_classif_debug-28.R
Saving _problems/test_mlr_learners_classif_featureless-4.R
Saving _problems/test_mlr_learners_classif_featureless-43.R
Saving _problems/test_mlr_learners_classif_rpart-4.R
Saving _problems/test_mlr_learners_regr_featureless-4.R
Saving _problems/test_mlr_learners_regr_featureless-11.R
Saving _problems/test_mlr_learners_regr_rpart-4.R
Saving _problems/test_mlr_measures-31.R
Saving _problems/test_mlr_measures_selected_features-6.R
Saving _problems/test_mlr_measures_similarity-3.R
Saving _problems/test_mlr_reflections-60.R
Saving _problems/test_mlr_reflections-76.R
Saving _problems/test_mlr_reflections-105.R
Saving _problems/test_mlr_resampling_holdout-39.R
Saving _problems/test_parallel_future-12.R
Saving _problems/test_parallel_future-25.R
Saving _problems/test_parallel_future-42.R
Saving _problems/test_parallel_future-69.R
Saving _problems/test_parallel_future-82.R
Saving _problems/test_parallel_mirai-7.R
Saving _problems/test_parallel_mirai-18.R
Saving _problems/test_parallel_mirai-30.R
Saving _problems/test_parallel_mirai-99.R
Saving _problems/test_resample-4.R
Saving _problems/test_resultdata-9.R
Saving _problems/test_resultdata-58.R
Saving _problems/test_resultdata-93.R
Saving _problems/test_resultdata-131.R
Saving _problems/test_resultdata-190.R
[ FAIL 79 | WARN 0 | SKIP 12 | PASS 8474 ]
══ Skipped tests (12) ══════════════════════════════════════════════════════════
• Not on GitHub Actions (1): 'test_backward_compatibility.R:1:1'
• On CRAN (9): 'test_Learner.R:641:3', 'test_Learner.R:847:3',
'test_Learner.R:870:3', 'test_Learner.R:893:3', 'test_Learner.R:916:3',
'test_Measure.R:129:3', 'test_parallel_future.R:91:3',
'test_parallel_mirai.R:48:3', 'test_parallel_mirai.R:66:3'
• empty test (1): 'test_Task.R:911:1'
• {distr6} is not installed (1): 'test_PredictionRegr.R:54:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_CallbackResample.R:20:3'): on_resample_begin works ─────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global expect_resample_result(resample(task, learner, resampling, callbacks = callback)) at test_CallbackResample.R:20:3
2. │ └─checkmate::expect_r6(rr, "ResampleResult")
3. │ └─checkmate::checkR6(...)
4. └─mlr3::resample(task, learner, resampling, callbacks = callback)
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:39:3'): on_resample_before_train works ──────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global expect_resample_result(resample(task, learner, resampling, callbacks = callback)) at test_CallbackResample.R:39:3
2. │ └─checkmate::expect_r6(rr, "ResampleResult")
3. │ └─checkmate::checkR6(...)
4. └─mlr3::resample(task, learner, resampling, callbacks = callback)
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:58:3'): on_resample_before_predict works ────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global expect_resample_result(resample(task, learner, resampling, callbacks = callback)) at test_CallbackResample.R:58:3
2. │ └─checkmate::expect_r6(rr, "ResampleResult")
3. │ └─checkmate::checkR6(...)
4. └─mlr3::resample(task, learner, resampling, callbacks = callback)
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:77:3'): on_resample_end works ───────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global expect_resample_result(resample(task, learner, resampling, callbacks = callback)) at test_CallbackResample.R:77:3
2. │ └─checkmate::expect_r6(rr, "ResampleResult")
3. │ └─checkmate::checkR6(...)
4. └─mlr3::resample(task, learner, resampling, callbacks = callback)
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:94:3'): writing to learner$state works ──────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling, callbacks = callback) at test_CallbackResample.R:94:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:127:3'): writing to data_extra works ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling, callbacks = callback) at test_CallbackResample.R:127:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:162:3'): data_extra is a list column ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling, callbacks = callback) at test_CallbackResample.R:162:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:184:3'): data_extra is null ─────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling, callbacks = callback) at test_CallbackResample.R:184:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:225:3'): learner cloning in workhorse is passed to context ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling, callbacks = callback) at test_CallbackResample.R:225:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_CallbackResample.R:244:3'): returning data_extra sometimes works ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design, callbacks = callback) at test_CallbackResample.R:244:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Learner.R:197:3'): predict train + test set ────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, hout) at test_Learner.R:197:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Failure ('test_Learner.R:479:3'): internal_valid_task is created correctly ──
Expected `resample(task2, learner2, resampling)` not to throw any errors.
Actually got a <simpleError> with message:
attempt access index 9/9 in VECTOR_ELT
── Error ('test_Learner.R:562:3'): learner state contains internal valid task information ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_Learner.R:562:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Learner.R:1021:3'): oob_error is available without storing models via $.extract_oob_error() ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_Learner.R:1021:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:21:5'): average with micro/macro ─────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_seed(...) at test_Measure.R:19:3
2. │ └─base::force(expr)
3. └─mlr3::resample(task, learner, rs) at test_Measure.R:21:5
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:66:3'): check_prerequisites / task_properties ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_Measure.R:66:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:90:3'): check_prerequisites / predict_type ───────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_Measure.R:90:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:106:3'): check_prerequisites / predict_sets ──────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_Measure.R:106:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:122:3'): time_train works with different predict type (#832) ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(...) at test_Measure.R:122:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:199:3'): measure weights ─────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), learner, resampling) at test_Measure.R:199:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:285:3'): primary iters are respected ─────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling) at test_Measure.R:285:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Measure.R:306:3'): no predict_sets required (#1094) ────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(...) at test_Measure.R:306:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureInternalValidScore.R:5:3'): internal valid score ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_MeasureInternalValidScore.R:5:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureRegrRSQ.R:112:3'): MeasureRegrRSQ works with weights during resampling ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling) at test_MeasureRegrRSQ.R:112:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_MeasureRegrRSQ.R:183:3'): MeasureRegrRSQ use_weights works ─────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task_plain, learner, resampling) at test_MeasureRegrRSQ.R:183:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_PredictionClassif.R:119:3'): c ─────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn, rsmp("cv", folds = 3)) at test_PredictionClassif.R:119:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_PredictionRegr.R:22:3'): c ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn, rsmp("cv", folds = 3)) at test_PredictionRegr.R:22:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_PredictionRegr.R:44:3'): c drops se (#250) ─────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn, rsmp("cv", folds = 3)) at test_PredictionRegr.R:44:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Task.R:874:3'): $characteristics works ─────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design) at test_Task.R:874:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_Task.R:1031:3'): weights_measure + stratum works during resampling (#1405) ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global expect_resample_result(...) at test_Task.R:1031:3
2. │ └─checkmate::expect_r6(rr, "ResampleResult")
3. │ └─checkmate::checkR6(...)
4. └─mlr3::resample(task, lrn("classif.featureless"), rsmp("cv", folds = 3))
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_autotest.R:60:3'): autotest configure_learner works ────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, 10, exclude = exclude, configure_learner = cfg_lrn) at test_autotest.R:60:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_autotest.R:162:7'): autotest on encapsulation ──────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_mirai(...) at test_autotest.R:160:5
2. │ └─base::force(expr)
3. └─global run_experiment(task, learner1) at test_autotest.R:162:7
4. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_benchmark.R:6:1'): (code run outside of `test_that()`) ─────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design) at test_benchmark.R:6:1
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_encapsulate.R:49:3'): evaluate / resample ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─base::suppressMessages(...) at test_encapsulate.R:49:3
2. │ └─base::withCallingHandlers(...)
3. ├─base::suppressWarnings(...)
4. │ └─base::withCallingHandlers(...)
5. └─mlr3::resample(task, disable_encapsulation(learner), resampling)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_encapsulate.R:87:3'): encapsulate methods produce the same results ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("cv", folds = 3), store_models = TRUE) at test_encapsulate.R:87:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_errorhandling.R:63:3'): encapsulation / resample ───────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("cv", folds = 3)) at test_errorhandling.R:63:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_errorhandling.R:80:3'): encapsulation / benchmark ──────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(benchmark_grid(task, learner, rsmp("cv", folds = 3))) at test_errorhandling.R:80:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_fallback.R:48:3'): fail during resample ────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), learner, rsmp("cv", folds = 3)) at test_fallback.R:48:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_fallback.R:65:3'): incomplete predictions ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), learner, rsmp("cv", folds = 3)) at test_fallback.R:65:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_hotstart.R:134:3'): learners are hotstarted when resample is used ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner_1, resampling, store_models = TRUE) at test_hotstart.R:134:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_hotstart.R:158:3'): learners are hotstarted when benchmark is called ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design, store_models = TRUE) at test_hotstart.R:158:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_hotstart.R:187:3'): learners are trained and hotstarted when benchmark is called ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design, store_models = TRUE) at test_hotstart.R:187:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_hotstart.R:222:3'): learners are cloned when hotstarting is applied ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design, store_models = TRUE, allow_hotstart = TRUE) at test_hotstart.R:222:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_hotstart.R:246:3'): hotstarting works when col role is set in task ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner_1, resampling, store_models = TRUE) at test_hotstart.R:246:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_install_pkgs.R:25:3'): extract_pkgs works ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("mtcars"), lrn("regr.featureless"), rsmp("holdout")) at test_install_pkgs.R:25:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_lgr.R:20:3'): log to text file ─────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─base::suppressWarnings(resample(task, learner, resampling)) at test_lgr.R:20:3
2. │ └─base::withCallingHandlers(...)
3. └─mlr3::resample(task, learner, resampling)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_lgr.R:38:3'): logger works ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:38:3
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. └─ResultData$new(data, data_extra, store_backends = store_backends)
9. └─mlr3 (local) initialize(...)
10. └─mlr3:::.__ResultData__initialize(...)
11. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
12. └─data.table:::`[.data.table`(...)
── Error ('test_lgr.R:70:5'): thresholds are restored on workers ───────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─testthat::capture_output(...) at test_lgr.R:69:3
2. │ └─testthat::capture_output_lines(code, print, width = width)
3. │ └─testthat:::eval_with_output(code, print = print, width = width)
4. │ ├─withr::with_output_sink(path, withVisible(code))
5. │ │ └─base::force(code)
6. │ └─base::withVisible(code)
7. ├─global with_future(...)
8. │ └─base::force(expr)
9. └─mlr3::resample(...) at test_lgr.R:70:5
10. └─ResultData$new(data, data_extra, store_backends = store_backends)
11. └─mlr3 (local) initialize(...)
12. └─mlr3:::.__ResultData__initialize(...)
13. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
14. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_callbacks.R:9:3'): model extractor works ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling = resampling, callbacks = callback) at test_mlr_callbacks.R:9:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_callbacks.R:30:3'): holdout task works ─────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling = resampling, callbacks = callback) at test_mlr_callbacks.R:30:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_classif_debug.R:28:3'): updating model works / resample ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), learner, rsmp("holdout"), store_models = TRUE) at test_mlr_learners_classif_debug.R:28:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_classif_featureless.R:4:3'): autotest ─────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "sanity") at test_mlr_learners_classif_featureless.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_classif_featureless.R:43:3'): classif.featureless works on featureless task ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_mlr_learners_classif_featureless.R:43:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_classif_rpart.R:4:3'): autotest ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_mlr_learners_classif_rpart.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_regr_featureless.R:4:3'): autotest ────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "sanity") at test_mlr_learners_regr_featureless.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_regr_featureless.R:11:3'): regr.featureless works on featureless task ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout")) at test_mlr_learners_regr_featureless.R:11:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_learners_regr_rpart.R:4:3'): autotest ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_mlr_learners_regr_rpart.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_measures.R:31:3'): custom aggregation ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn, rsmp("cv", folds = 3)) at test_mlr_measures.R:31:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_measures_selected_features.R:6:3'): selected_features ──────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, lrn, rsmp("holdout"), store_models = TRUE) at test_mlr_measures_selected_features.R:6:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_measures_similarity.R:3:1'): (code run outside of `test_that()`) ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("cv", folds = 3), store_models = TRUE) at test_mlr_measures_similarity.R:3:1
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_reflections.R:60:3'): resampling works ─────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("cv", folds = 3)) at test_mlr_reflections.R:60:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_reflections.R:76:3'): benchmark works ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(grid) at test_mlr_reflections.R:76:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_reflections.R:105:5'): external packages can set column roles ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_future(...) at test_mlr_reflections.R:104:3
2. │ └─base::force(expr)
3. └─mlr3::resample(task, lrn("classif.rpart"), rsmp("cv", folds = 3)) at test_mlr_reflections.R:105:5
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_mlr_resampling_holdout.R:39:3'): prediction does not drop dimension (#551) ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(design) at test_mlr_resampling_holdout.R:39:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_future.R:12:7'): parallel resample ────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_future(...) at test_parallel_future.R:7:3
2. │ └─base::force(expr)
3. ├─progressr::with_progress(...) at test_parallel_future.R:11:5
4. └─mlr3::resample(task, learner, rsmp("cv", folds = 3)) at test_parallel_future.R:12:7
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_future.R:25:3'): seeds work identical during sequential and parallel execution ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_seed(...) at test_parallel_future.R:25:3
2. │ └─base::force(expr)
3. ├─global with_future(future::sequential, resample(task, learner, resampling))
4. │ └─base::force(expr)
5. └─mlr3::resample(task, learner, resampling)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_future.R:42:7'): parallel benchmark ───────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_future(...) at test_parallel_future.R:40:3
2. │ └─base::force(expr)
3. ├─progressr::with_progress(...) at test_parallel_future.R:41:5
4. └─mlr3::benchmark(benchmark_grid(task, learner, rsmp("cv", folds = 3))) at test_parallel_future.R:42:7
5. └─ResultData$new(grid, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_future.R:69:7'): real parallel resample ───────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_future(...) at test_parallel_future.R:64:3
2. │ └─base::force(expr)
3. ├─progressr::with_progress(...) at test_parallel_future.R:68:5
4. └─mlr3::resample(task, learner, rsmp("cv", folds = 3)) at test_parallel_future.R:69:7
5. └─ResultData$new(data, data_extra, store_backends = store_backends)
6. └─mlr3 (local) initialize(...)
7. └─mlr3:::.__ResultData__initialize(...)
8. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
9. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_future.R:82:3'): parallel seed ────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_seed(123, resample(task, learner, rsmp("cv", folds = 3))) at test_parallel_future.R:82:3
2. │ └─base::force(expr)
3. └─mlr3::resample(task, learner, rsmp("cv", folds = 3))
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_mirai.R:7:5'): parallel resample ──────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:4:3
2. │ └─base::force(expr)
3. └─mlr3::resample(task, learner, rsmp("cv", folds = 3)) at test_parallel_mirai.R:7:5
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_mirai.R:18:5'): parallel benchmark ────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:17:3
2. │ └─base::force(expr)
3. └─mlr3::benchmark(benchmark_grid(task, learner, rsmp("cv", folds = 3))) at test_parallel_mirai.R:18:5
4. └─ResultData$new(grid, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_mirai.R:30:5'): mirai resample is reproducible ────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:26:3
2. │ └─base::force(expr)
3. └─mlr3::resample(task, learner, resampling, store_models = TRUE) at test_parallel_mirai.R:30:5
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_parallel_mirai.R:99:5'): mirai compute profile can be changed ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─global with_mirai(...) at test_parallel_mirai.R:94:3
2. │ └─base::force(expr)
3. └─mlr3::resample(task, learner, resampling, store_models = TRUE) at test_parallel_mirai.R:99:5
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_resample.R:4:1'): (code run outside of `test_that()`) ──────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling) at test_resample.R:4:1
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_resultdata.R:9:3'): results are ordered ────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(grid, store_models = TRUE) at test_resultdata.R:9:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_resultdata.R:58:3'): mlr3tuning use case ───────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::benchmark(...) at test_resultdata.R:58:3
2. └─ResultData$new(grid, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_resultdata.R:93:3'): predict set selection ─────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, resampling) at test_resultdata.R:93:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_resultdata.R:131:3'): data_extra works ─────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::as_result_data(...) at test_resultdata.R:131:3
2. └─ResultData$new(...)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_resultdata.R:190:3'): combine with data_extra works ────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::as_result_data(...) at test_resultdata.R:190:3
2. └─ResultData$new(...)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
[ FAIL 79 | WARN 0 | SKIP 12 | PASS 8474 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.3.0
Check: installed package size
Result: NOTE
installed size is 5.0Mb
sub-directories of 1Mb or more:
R 2.0Mb
help 2.2Mb
Flavor: r-oldrel-macos-x86_64