- using R Under development (unstable) (2025-12-18 r89199)
- using platform: x86_64-pc-linux-gnu
- R was compiled by
gcc-15 (Debian 15.2.0-11) 15.2.0
GNU Fortran (Debian 15.2.0-11) 15.2.0
- running under: Debian GNU/Linux forky/sid
- using session charset: UTF-8
- checking for file ‘mlr3learners/DESCRIPTION’ ... OK
- this is package ‘mlr3learners’ version ‘0.14.0’
- package encoding: UTF-8
- checking CRAN incoming feasibility ... [2s/2s] OK
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
- checking for executable files ... OK
- checking for hidden files and directories ... OK
- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking serialization versions ... OK
- checking whether package ‘mlr3learners’ can be installed ... OK
See the install log for details.
- used C compiler: ‘gcc-15 (Debian 15.2.0-11) 15.2.0’
- checking package directory ... OK
- checking for future file timestamps ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
- checking code files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... [1s/1s] OK
- checking whether the package can be loaded with stated dependencies ... [1s/1s] OK
- checking whether the package can be unloaded cleanly ... [1s/1s] OK
- checking whether the namespace can be loaded with stated dependencies ... [1s/1s] OK
- checking whether the namespace can be unloaded cleanly ... [1s/1s] OK
- checking loading without being on the library search path ... [1s/1s] OK
- checking whether startup messages can be suppressed ... [1s/1s] OK
- checking use of S3 registration ... OK
- checking dependencies in R code ... OK
- checking S3 generic/method consistency ... OK
- checking replacement functions ... OK
- checking foreign function calls ... OK
- checking R code for possible problems ... [16s/22s] OK
- checking Rd files ... [1s/2s] OK
- checking Rd metadata ... OK
- checking Rd line widths ... OK
- checking Rd cross-references ... OK
- checking for missing documentation entries ... OK
- checking for code/documentation mismatches ... OK
- checking Rd \usage sections ... OK
- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking line endings in C/C++/Fortran sources/headers ... OK
- checking pragmas in C/C++ headers and code ... OK
- checking compilation flags used ... OK
- checking compiled code ... OK
- checking examples ... [8s/11s] OK
- checking for unstated dependencies in ‘tests’ ... OK
- checking tests ... [31s/51s] 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
- checking PDF version of manual ... [7s/13s] OK
- checking HTML version of manual ... [6s/10s] OK
- checking for non-standard things in the check directory ... OK
- DONE
Status: 1 ERROR