CRAN Package Check Results for Package mlr3learners

Last updated on 2025-12-28 09:50:42 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	0.14.0	13.50	228.98	242.48	OK
r-devel-linux-x86_64-debian-gcc	0.14.0	8.87	156.11	164.98	OK
r-devel-linux-x86_64-fedora-clang	0.14.0	21.00	330.24	351.24	OK
r-devel-linux-x86_64-fedora-gcc	0.14.0	20.00	334.42	354.42	OK
r-devel-windows-x86_64	0.14.0	16.00	145.00	161.00	ERROR
r-patched-linux-x86_64	0.14.0	14.10	186.58	200.68	OK
r-release-linux-x86_64	0.14.0	12.20	191.15	203.35	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	16.00	204.00	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	265.00	284.00	OK

Check Details

Version: 0.14.0
Check: tests
Result: ERROR Running 'testthat.R' [40s] 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-windows-x86_64