CRAN Package Check Results for Package mlr3viz

Last updated on 2026-07-25 14:50:10 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.11.0 8.81 243.11 251.92 OK
r-devel-linux-x86_64-debian-gcc 0.11.0 5.80 167.48 173.28 ERROR
r-devel-linux-x86_64-fedora-clang 0.11.0 15.00 373.64 388.64 ERROR
r-devel-linux-x86_64-fedora-gcc 0.11.0 157.85 ERROR
r-devel-windows-x86_64 0.11.0 11.00 173.00 184.00 OK
r-patched-linux-x86_64 0.11.0 7.33 233.44 240.77 OK
r-release-linux-x86_64 0.11.0 8.26 235.89 244.15 OK
r-release-macos-arm64 0.11.0 2.00 44.00 46.00 OK
r-release-macos-x86_64 0.11.0 6.00 204.00 210.00 OK
r-release-windows-x86_64 0.11.0 12.00 180.00 192.00 OK
r-oldrel-macos-arm64 0.11.0 3.00 50.00 53.00 OK
r-oldrel-macos-x86_64 0.11.0 7.00 259.00 266.00 OK
r-oldrel-windows-x86_64 0.11.0 15.00 255.00 270.00 OK

Check Details

Version: 0.11.0
Check: tests
Result: ERROR Running ‘testthat.R’ [88s/52s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("testthat") + library("mlr3viz") + test_check("mlr3viz") + } Loading required package: mlr3 Starting 2 test processes. Saving _problems/test_BenchmarkResult-4.R > test_EnsembleFSResult.R: Loading required namespace: vdiffr > test_Filter.R: Loading required namespace: vdiffr Saving _problems/test_LearnerClassif-5.R Saving _problems/test_LearnerClassif-15.R > test_OptimInstanceSingleCrit.R: Loading required package: paradox > test_PredictionRegr.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_ResampleResult.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. [ FAIL 3 | WARN 3 | SKIP 24 | PASS 129 ] ══ Skipped tests (24) ══════════════════════════════════════════════════════════ • On CRAN (24): 'test_Filter.R:3:1', 'test_EnsembleFSResult.R:4:1', 'test_LearnerClassifCVGlmnet.R:8:1', 'test_LearnerClassifGlmnet.R:8:1', 'test_LearnerClassifRpart.R:6:1', 'test_LearnerClustHierarchical.R:7:3', 'test_LearnerRegrCVGlmnet.R:8:1', 'test_LearnerRegr.R:3:1', 'test_LearnerRegr.R:13:1', 'test_LearnerRegr.R:23:1', 'test_LearnerRegrGlmnet.R:7:1', 'test_LearnerRegrRpart.R:6:1', 'test_PredictionClassif.R:8:1', 'test_PredictionClust.R:8:3', 'test_PredictionRegr.R:3:1', 'test_OptimInstanceSingleCrit.R:35:1', 'test_TaskClassif.R:3:1', 'test_TaskClust.R:4:1', 'test_TaskRegr.R:3:1', 'test_ResampleResult.R:17:1', 'test_plot_learner_prediction.R:3:1', 'test_plot_learner_prediction.R:38:1', 'test_plot_learner_prediction.R:46:1', 'test_TuningInstanceSingleCrit.R:33:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_BenchmarkResult.R:4:1'): (code run outside of `test_that()`) ─── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsks(c("iris", "pima", "sonar")) at test_BenchmarkResult.R:4:1 2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...) 3. └─base::lapply(...) 4. └─mlr3misc (local) FUN(X[[i]], ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) `<fn>`() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:5:3'): autoplot.PredictionClassif decision boundary probability ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:5:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:15:3'): autoplot.PredictionClassif decision boundary response ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:15:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) [ FAIL 3 | WARN 3 | SKIP 24 | PASS 129 ] Deleting unused snapshots: 'BenchmarkResult/bmr-boxplot.svg', 'BenchmarkResult/bmr-holdout-ci.svg', 'BenchmarkResult/bmr-holdout-roc.svg', 'BenchmarkResult/bmr-prc.svg', 'BenchmarkResult/bmr-roc.svg', 'LearnerClassif/learner-classif-prob.svg', 'LearnerClassif/learner-classif-response.svg', 'LearnerClustHierarchical/learner-clust-agnes.svg', 'LearnerClustHierarchical/learner-clust-hclust.svg', 'PredictionClust/predictionclust-pca.svg', 'PredictionClust/predictionclust-scatter.svg', 'PredictionClust/predictionclust-sil.svg', 'TuningInstanceSingleCrit/tisc-incumbent.svg', 'TuningInstanceSingleCrit/tisc-marginal-01.svg', 'TuningInstanceSingleCrit/tisc-marginal-02.svg', 'TuningInstanceSingleCrit/tisc-marginal-trafo-01.svg', 'TuningInstanceSingleCrit/tisc-marginal-trafo-02.svg', 'TuningInstanceSingleCrit/tisc-marginal-x-domain-01.svg', …, 'TuningInstanceSingleCrit/tisc-surface-regr-lm.svg', and 'TuningInstanceSingleCrit/tisc-surface.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.11.0
Check: tests
Result: ERROR Running ‘testthat.R’ [213s/140s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("testthat") + library("mlr3viz") + test_check("mlr3viz") + } Loading required package: mlr3 Starting 2 test processes. Saving _problems/test_BenchmarkResult-4.R > test_EnsembleFSResult.R: Loading required namespace: vdiffr > test_Filter.R: Loading required namespace: vdiffr Saving _problems/test_LearnerClassif-5.R Saving _problems/test_LearnerClassif-15.R > test_OptimInstanceSingleCrit.R: Loading required package: paradox > test_PredictionRegr.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_ResampleResult.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. [ FAIL 3 | WARN 3 | SKIP 24 | PASS 129 ] ══ Skipped tests (24) ══════════════════════════════════════════════════════════ • On CRAN (24): 'test_Filter.R:3:1', 'test_LearnerClassifCVGlmnet.R:8:1', 'test_EnsembleFSResult.R:4:1', 'test_LearnerClassifGlmnet.R:8:1', 'test_LearnerClustHierarchical.R:7:3', 'test_LearnerClassifRpart.R:6:1', 'test_LearnerRegr.R:3:1', 'test_LearnerRegr.R:13:1', 'test_LearnerRegr.R:23:1', 'test_LearnerRegrCVGlmnet.R:8:1', 'test_LearnerRegrGlmnet.R:7:1', 'test_LearnerRegrRpart.R:6:1', 'test_PredictionClassif.R:8:1', 'test_PredictionClust.R:8:3', 'test_PredictionRegr.R:3:1', 'test_OptimInstanceSingleCrit.R:35:1', 'test_TaskClassif.R:3:1', 'test_TaskClust.R:4:1', 'test_TaskRegr.R:3:1', 'test_ResampleResult.R:17:1', 'test_plot_learner_prediction.R:3:1', 'test_plot_learner_prediction.R:38:1', 'test_plot_learner_prediction.R:46:1', 'test_TuningInstanceSingleCrit.R:33:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_BenchmarkResult.R:4:1'): (code run outside of `test_that()`) ─── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsks(c("iris", "pima", "sonar")) at test_BenchmarkResult.R:4:1 2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...) 3. └─base::lapply(...) 4. └─mlr3misc (local) FUN(X[[i]], ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) `<fn>`() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:5:3'): autoplot.PredictionClassif decision boundary probability ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:5:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:15:3'): autoplot.PredictionClassif decision boundary response ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:15:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) [ FAIL 3 | WARN 3 | SKIP 24 | PASS 129 ] Deleting unused snapshots: 'BenchmarkResult/bmr-boxplot.svg', 'BenchmarkResult/bmr-holdout-ci.svg', 'BenchmarkResult/bmr-holdout-roc.svg', 'BenchmarkResult/bmr-prc.svg', 'BenchmarkResult/bmr-roc.svg', 'LearnerClassif/learner-classif-prob.svg', 'LearnerClassif/learner-classif-response.svg', 'LearnerClustHierarchical/learner-clust-agnes.svg', 'LearnerClustHierarchical/learner-clust-hclust.svg', 'PredictionClust/predictionclust-pca.svg', 'PredictionClust/predictionclust-scatter.svg', 'PredictionClust/predictionclust-sil.svg', 'TuningInstanceSingleCrit/tisc-incumbent.svg', 'TuningInstanceSingleCrit/tisc-marginal-01.svg', 'TuningInstanceSingleCrit/tisc-marginal-02.svg', 'TuningInstanceSingleCrit/tisc-marginal-trafo-01.svg', 'TuningInstanceSingleCrit/tisc-marginal-trafo-02.svg', 'TuningInstanceSingleCrit/tisc-marginal-x-domain-01.svg', …, 'TuningInstanceSingleCrit/tisc-surface-regr-lm.svg', and 'TuningInstanceSingleCrit/tisc-surface.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.11.0
Check: tests
Result: ERROR Running ‘testthat.R’ [83s/49s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("testthat") + library("mlr3viz") + test_check("mlr3viz") + } Loading required package: mlr3 Starting 2 test processes. Saving _problems/test_BenchmarkResult-4.R > test_EnsembleFSResult.R: Loading required namespace: vdiffr > test_Filter.R: Loading required namespace: vdiffr Saving _problems/test_LearnerClassif-5.R Saving _problems/test_LearnerClassif-15.R > test_OptimInstanceSingleCrit.R: Loading required package: paradox > test_PredictionRegr.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_ResampleResult.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. > test_TaskClassif.R: `stat_bin()` using `bins = 30`. Pick better value `binwidth`. [ FAIL 3 | WARN 3 | SKIP 24 | PASS 129 ] ══ Skipped tests (24) ══════════════════════════════════════════════════════════ • On CRAN (24): 'test_Filter.R:3:1', 'test_EnsembleFSResult.R:4:1', 'test_LearnerClassifCVGlmnet.R:8:1', 'test_LearnerClassifRpart.R:6:1', 'test_LearnerClassifGlmnet.R:8:1', 'test_LearnerClustHierarchical.R:7:3', 'test_LearnerRegrCVGlmnet.R:8:1', 'test_LearnerRegr.R:3:1', 'test_LearnerRegr.R:13:1', 'test_LearnerRegr.R:23:1', 'test_LearnerRegrGlmnet.R:7:1', 'test_LearnerRegrRpart.R:6:1', 'test_PredictionClassif.R:8:1', 'test_PredictionClust.R:8:3', 'test_PredictionRegr.R:3:1', 'test_OptimInstanceSingleCrit.R:35:1', 'test_TaskClassif.R:3:1', 'test_TaskClust.R:4:1', 'test_TaskRegr.R:3:1', 'test_ResampleResult.R:17:1', 'test_plot_learner_prediction.R:3:1', 'test_plot_learner_prediction.R:38:1', 'test_plot_learner_prediction.R:46:1', 'test_TuningInstanceSingleCrit.R:33:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_BenchmarkResult.R:4:1'): (code run outside of `test_that()`) ─── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsks(c("iris", "pima", "sonar")) at test_BenchmarkResult.R:4:1 2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...) 3. └─base::lapply(...) 4. └─mlr3misc (local) FUN(X[[i]], ...) 5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 7. ├─base::do.call(constructor, cargs) 8. └─mlr3 (local) `<fn>`() 9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:5:3'): autoplot.PredictionClassif decision boundary probability ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:5:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) ── Error ('test_LearnerClassif.R:15:3'): autoplot.PredictionClassif decision boundary response ── Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL" Backtrace: ▆ 1. └─mlr3::tsk("pima") at test_LearnerClassif.R:15:3 2. └─mlr3misc::dictionary_sugar_get(dict = mlr_tasks, .key, ...) 3. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest) 4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots) 5. ├─base::do.call(constructor, cargs) 6. └─mlr3 (local) `<fn>`() 7. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench")) [ FAIL 3 | WARN 3 | SKIP 24 | PASS 129 ] Deleting unused snapshots: 'BenchmarkResult/bmr-boxplot.svg', 'BenchmarkResult/bmr-holdout-ci.svg', 'BenchmarkResult/bmr-holdout-roc.svg', 'BenchmarkResult/bmr-prc.svg', 'BenchmarkResult/bmr-roc.svg', 'LearnerClassif/learner-classif-prob.svg', 'LearnerClassif/learner-classif-response.svg', 'LearnerClustHierarchical/learner-clust-agnes.svg', 'LearnerClustHierarchical/learner-clust-hclust.svg', 'PredictionClust/predictionclust-pca.svg', 'PredictionClust/predictionclust-scatter.svg', 'PredictionClust/predictionclust-sil.svg', 'TuningInstanceSingleCrit/tisc-incumbent.svg', 'TuningInstanceSingleCrit/tisc-marginal-01.svg', 'TuningInstanceSingleCrit/tisc-marginal-02.svg', 'TuningInstanceSingleCrit/tisc-marginal-trafo-01.svg', 'TuningInstanceSingleCrit/tisc-marginal-trafo-02.svg', 'TuningInstanceSingleCrit/tisc-marginal-x-domain-01.svg', …, 'TuningInstanceSingleCrit/tisc-surface-regr-lm.svg', and 'TuningInstanceSingleCrit/tisc-surface.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc