Last updated on 2025-12-20 09:49:52 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.13.0 | 12.42 | 215.68 | 228.10 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.14.0 | 8.29 | 94.82 | 103.11 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.14.0 | 21.00 | 221.23 | 242.23 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.14.0 | 19.00 | 202.94 | 221.94 | ERROR | |
| r-devel-windows-x86_64 | 0.14.0 | 19.00 | 202.00 | 221.00 | OK | |
| r-patched-linux-x86_64 | 0.14.0 | 14.34 | 181.97 | 196.31 | OK | |
| r-release-linux-x86_64 | 0.13.0 | 12.10 | 186.58 | 198.68 | OK | |
| r-release-macos-arm64 | 0.14.0 | 3.00 | 54.00 | 57.00 | OK | |
| r-release-macos-x86_64 | 0.14.0 | 9.00 | 160.00 | 169.00 | OK | |
| r-release-windows-x86_64 | 0.14.0 | 19.00 | 201.00 | 220.00 | OK | |
| r-oldrel-macos-arm64 | 0.14.0 | 3.00 | 59.00 | 62.00 | OK | |
| r-oldrel-macos-x86_64 | 0.14.0 | 10.00 | 230.00 | 240.00 | OK | |
| r-oldrel-windows-x86_64 | 0.14.0 | 19.00 | 259.00 | 278.00 | OK |
Version: 0.14.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [30s/51s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3learners")
+ test_check("mlr3learners")
+ }
Loading required package: mlr3
Saving _problems/test_classif_cv_glmnet-12.R
Saving _problems/test_classif_glmnet-9.R
Saving _problems/test_classif_kknn-6.R
Saving _problems/test_classif_lda-6.R
Saving _problems/test_classif_log_reg-4.R
Saving _problems/test_classif_qda-6.R
Saving _problems/test_classif_ranger-7.R
Saving _problems/test_classif_ranger-105.R
Saving _problems/test_classif_svm-6.R
Saving _problems/test_regr_cv_glmnet-12.R
Saving _problems/test_regr_glmnet-9.R
Saving _problems/test_regr_kknn-6.R
Saving _problems/test_regr_lm-4.R
Saving _problems/test_regr_ranger-6.R
Saving _problems/test_regr_ranger-433.R
Saving _problems/test_regr_svm-6.R
Saving _problems/test_regr_svm-14.R
[ FAIL 21 | WARN 0 | SKIP 4 | PASS 614 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_classif_cv_glmnet.R:12:3'): autotest ───────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single", N = 100L) at test_classif_cv_glmnet.R:12:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_glmnet.R:9:3'): autotest ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_classif_glmnet.R:9:3
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_classif_kknn.R:6:3'): autotest ─────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_kknn.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_lda.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_classif_lda.R:6:3
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_classif_log_reg.R:4:3'): autotest ──────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_log_reg.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_multinom.R:6:19'): autotest ────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_classif_multinom.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner) at test_classif_multinom.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
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_classif_naive_bayes.R:6:19'): autotest ─────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_classif_naive_bayes.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner) at test_classif_naive_bayes.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_classif_qda.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, N = 100L, exclude = "feat_single") at test_classif_qda.R:6:3
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_classif_ranger.R:7:3'): autotest ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_ranger.R:7:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_ranger.R:105:3'): oob_error available without stored model ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_classif_ranger.R:105:3
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_classif_svm.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_svm.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_cv_glmnet.R:12:3'): autotest ──────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_regr_cv_glmnet.R:12:3
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_regr_glmnet.R:9:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_regr_glmnet.R:9:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_kknn.R:6:3'): autotest ────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_kknn.R:6:3
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_regr_km.R:6:19'): autotest ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_regr_km.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner, exclude = "feat_single", N = 50) at test_regr_km.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_regr_km.R:13:19'): autotest w/ jitter ──────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_regr_km.R:13:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner, exclude = "feat_single|reordered", N = 50) at test_regr_km.R:13:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
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_regr_lm.R:4:3'): autotest ──────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_lm.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_ranger.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, N = 50L) at test_regr_ranger.R:6:3
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_regr_ranger.R:433:3'): oob_error available without stored model ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_regr_ranger.R:433:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_regr_svm.R:6:3'): autotest ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_svm.R:6:3
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_regr_svm.R:14:3'): autotest with type nu-regression (#209) ─────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_svm.R:14:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
[ FAIL 21 | WARN 0 | SKIP 4 | PASS 614 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.14.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [72s/155s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3learners")
+ test_check("mlr3learners")
+ }
Loading required package: mlr3
Saving _problems/test_classif_cv_glmnet-12.R
Saving _problems/test_classif_glmnet-9.R
Saving _problems/test_classif_kknn-6.R
Saving _problems/test_classif_lda-6.R
Saving _problems/test_classif_log_reg-4.R
Saving _problems/test_classif_qda-6.R
Saving _problems/test_classif_ranger-7.R
Saving _problems/test_classif_ranger-105.R
Saving _problems/test_classif_svm-6.R
Saving _problems/test_regr_cv_glmnet-12.R
Saving _problems/test_regr_glmnet-9.R
Saving _problems/test_regr_kknn-6.R
Saving _problems/test_regr_lm-4.R
Saving _problems/test_regr_ranger-6.R
Saving _problems/test_regr_ranger-433.R
Saving _problems/test_regr_svm-6.R
Saving _problems/test_regr_svm-14.R
[ FAIL 21 | WARN 0 | SKIP 4 | PASS 614 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_classif_cv_glmnet.R:12:3'): autotest ───────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single", N = 100L) at test_classif_cv_glmnet.R:12:3
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_classif_glmnet.R:9:3'): autotest ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_classif_glmnet.R:9:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_kknn.R:6:3'): autotest ─────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_kknn.R:6:3
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_classif_lda.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_classif_lda.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_log_reg.R:4:3'): autotest ──────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_log_reg.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_classif_multinom.R:6:19'): autotest ────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_classif_multinom.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner) at test_classif_multinom.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_classif_naive_bayes.R:6:19'): autotest ─────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_classif_naive_bayes.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner) at test_classif_naive_bayes.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
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_classif_qda.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, N = 100L, exclude = "feat_single") at test_classif_qda.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_ranger.R:7:3'): autotest ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_ranger.R:7:3
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_classif_ranger.R:105:3'): oob_error available without stored model ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_classif_ranger.R:105:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_classif_svm.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_svm.R:6:3
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_regr_cv_glmnet.R:12:3'): autotest ──────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_regr_cv_glmnet.R:12:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_glmnet.R:9:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_regr_glmnet.R:9:3
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_regr_kknn.R:6:3'): autotest ────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_kknn.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_km.R:6:19'): autotest ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_regr_km.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner, exclude = "feat_single", N = 50) at test_regr_km.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
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_regr_km.R:13:19'): autotest w/ jitter ──────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_regr_km.R:13:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner, exclude = "feat_single|reordered", N = 50) at test_regr_km.R:13:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_regr_lm.R:4:3'): autotest ──────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_lm.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_regr_ranger.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, N = 50L) at test_regr_ranger.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_ranger.R:433:3'): oob_error available without stored model ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_regr_ranger.R:433:3
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_regr_svm.R:6:3'): autotest ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_svm.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_svm.R:14:3'): autotest with type nu-regression (#209) ─────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_svm.R:14:3
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`(...)
[ FAIL 21 | WARN 0 | SKIP 4 | PASS 614 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.14.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [67s/124s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("mlr3learners")
+ test_check("mlr3learners")
+ }
Loading required package: mlr3
Saving _problems/test_classif_cv_glmnet-12.R
Saving _problems/test_classif_glmnet-9.R
Saving _problems/test_classif_kknn-6.R
Saving _problems/test_classif_lda-6.R
Saving _problems/test_classif_log_reg-4.R
Saving _problems/test_classif_qda-6.R
Saving _problems/test_classif_ranger-7.R
Saving _problems/test_classif_ranger-105.R
Saving _problems/test_classif_svm-6.R
Saving _problems/test_regr_cv_glmnet-12.R
Saving _problems/test_regr_glmnet-9.R
Saving _problems/test_regr_kknn-6.R
Saving _problems/test_regr_lm-4.R
Saving _problems/test_regr_ranger-6.R
Saving _problems/test_regr_ranger-433.R
Saving _problems/test_regr_svm-6.R
Saving _problems/test_regr_svm-14.R
[ FAIL 21 | WARN 0 | SKIP 4 | PASS 614 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1',
'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_classif_cv_glmnet.R:12:3'): autotest ───────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single", N = 100L) at test_classif_cv_glmnet.R:12:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_glmnet.R:9:3'): autotest ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_classif_glmnet.R:9:3
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_classif_kknn.R:6:3'): autotest ─────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_kknn.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_lda.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_classif_lda.R:6:3
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_classif_log_reg.R:4:3'): autotest ──────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_log_reg.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_multinom.R:6:19'): autotest ────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_classif_multinom.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner) at test_classif_multinom.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
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_classif_naive_bayes.R:6:19'): autotest ─────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_classif_naive_bayes.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner) at test_classif_naive_bayes.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_classif_qda.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, N = 100L, exclude = "feat_single") at test_classif_qda.R:6:3
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_classif_ranger.R:7:3'): autotest ───────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_ranger.R:7:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_classif_ranger.R:105:3'): oob_error available without stored model ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_classif_ranger.R:105:3
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_classif_svm.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_classif_svm.R:6:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_cv_glmnet.R:12:3'): autotest ──────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_regr_cv_glmnet.R:12:3
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_regr_glmnet.R:9:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, exclude = "feat_single") at test_regr_glmnet.R:9:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_kknn.R:6:3'): autotest ────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_kknn.R:6:3
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_regr_km.R:6:19'): autotest ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_regr_km.R:6:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner, exclude = "feat_single", N = 50) at test_regr_km.R:6:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
6. └─ResultData$new(data, data_extra, store_backends = store_backends)
7. └─mlr3 (local) initialize(...)
8. └─mlr3:::.__ResultData__initialize(...)
9. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
10. └─data.table:::`[.data.table`(...)
── Error ('test_regr_km.R:13:19'): autotest w/ jitter ──────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. ├─utils::capture.output(...) at test_regr_km.R:13:3
2. │ └─base::withVisible(...elt(i))
3. └─global run_autotest(learner, exclude = "feat_single|reordered", N = 50) at test_regr_km.R:13:19
4. └─global run_experiment(task, learner, NULL, configure_learner)
5. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
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_regr_lm.R:4:3'): autotest ──────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_lm.R:4:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$new(data, data_extra, store_backends = store_backends)
5. └─mlr3 (local) initialize(...)
6. └─mlr3:::.__ResultData__initialize(...)
7. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
8. └─data.table:::`[.data.table`(...)
── Error ('test_regr_ranger.R:6:3'): autotest ──────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner, N = 50L) at test_regr_ranger.R:6:3
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_regr_ranger.R:433:3'): oob_error available without stored model ──
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_regr_ranger.R:433:3
2. └─ResultData$new(data, data_extra, store_backends = store_backends)
3. └─mlr3 (local) initialize(...)
4. └─mlr3:::.__ResultData__initialize(...)
5. ├─data[, `:=`("task_hash", task[[1L]]$hash), by = "uhash"]
6. └─data.table:::`[.data.table`(...)
── Error ('test_regr_svm.R:6:3'): autotest ─────────────────────────────────────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_svm.R:6:3
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_regr_svm.R:14:3'): autotest with type nu-regression (#209) ─────
Error in ``[.data.table`(data, , `:=`("task_hash", task[[1L]]$hash), by = "uhash")`: attempt access index 9/9 in VECTOR_ELT
Backtrace:
▆
1. └─global run_autotest(learner) at test_regr_svm.R:14:3
2. └─global run_experiment(task, learner, NULL, configure_learner)
3. └─mlr3::resample(task, learner_encapsulated, rsmp("holdout"), store_models = TRUE)
4. └─ResultData$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`(...)
[ FAIL 21 | WARN 0 | SKIP 4 | PASS 614 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc