Last updated on 2026-07-25 14:50:10 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.52 | 85.77 | 92.29 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 5.17 | 51.22 | 56.39 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 12.00 | 103.54 | 115.54 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 48.95 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.7 | 8.00 | 84.00 | 92.00 | OK | |
| r-patched-linux-x86_64 | 0.1.7 | 6.60 | 76.57 | 83.17 | OK | |
| r-release-linux-x86_64 | 0.1.7 | 6.78 | 77.51 | 84.29 | OK | |
| r-release-macos-arm64 | 0.1.7 | 2.00 | 21.00 | 23.00 | OK | |
| r-release-macos-x86_64 | 0.1.7 | 5.00 | 84.00 | 89.00 | OK | |
| r-release-windows-x86_64 | 0.1.7 | 8.00 | 86.00 | 94.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.7 | OK | ||||
| r-oldrel-macos-x86_64 | 0.1.7 | 4.00 | 59.00 | 63.00 | OK | |
| r-oldrel-windows-x86_64 | 0.1.7 | 11.00 | 115.00 | 126.00 | OK |
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: BenchmarkAggr
> ### Title: Aggregated Benchmark Result Object
> ### Aliases: BenchmarkAggr
>
> ### ** Examples
>
> # Not restricted to mlr3 objects
> df = data.frame(tasks = factor(rep(c("A", "B"), each = 5),
+ levels = c("A", "B")),
+ learners = factor(paste0("L", 1:5)),
+ RMSE = runif(10), MAE = runif(10))
> as_benchmark_aggr(df, task_id = "tasks", learner_id = "learners")
<BenchmarkAggr> of 10 rows with 2 tasks, 5 learners and 2 measures
tasks learners RMSE MAE
<fctr> <fctr> <num> <num>
1: A L1 0.26550866 0.2059746
2: A L2 0.37212390 0.1765568
3: A L3 0.57285336 0.6870228
4: A L4 0.90820779 0.3841037
5: A L5 0.20168193 0.7698414
6: B L1 0.89838968 0.4976992
7: B L2 0.94467527 0.7176185
8: B L3 0.66079779 0.9919061
9: B L4 0.62911404 0.3800352
10: B L5 0.06178627 0.7774452
>
> if (requireNamespaces(c("mlr3", "rpart"))) {
+ library(mlr3)
+ task = tsks(c("pima", "spam"))
+ learns = lrns(c("classif.featureless", "classif.rpart"))
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 2)))
+
+ # coercion
+ as_benchmark_aggr(bm)
+ }
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsks ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [6s/8s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [18:06:18.131] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:06:18.267] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:06:18.355] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:06:18.419] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:06:18.480] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:06:18.518] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:06:18.546] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:06:18.573] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:06:18.602] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:06:18.636] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:06:18.664] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:06:18.730] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:06:18.795] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:06:18.858] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:06:18.905] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:06:18.947] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:06:18.995] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:06:19.036] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:06:19.078] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:06:19.132] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
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("pima", "spam")) at test_BenchmarkAggr.R:99:3
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"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> ### Name: BenchmarkAggr
> ### Title: Aggregated Benchmark Result Object
> ### Aliases: BenchmarkAggr
>
> ### ** Examples
>
> # Not restricted to mlr3 objects
> df = data.frame(tasks = factor(rep(c("A", "B"), each = 5),
+ levels = c("A", "B")),
+ learners = factor(paste0("L", 1:5)),
+ RMSE = runif(10), MAE = runif(10))
> as_benchmark_aggr(df, task_id = "tasks", learner_id = "learners")
<BenchmarkAggr> of 10 rows with 2 tasks, 5 learners and 2 measures
tasks learners RMSE MAE
<fctr> <fctr> <num> <num>
1: A L1 0.26550866 0.2059746
2: A L2 0.37212390 0.1765568
3: A L3 0.57285336 0.6870228
4: A L4 0.90820779 0.3841037
5: A L5 0.20168193 0.7698414
6: B L1 0.89838968 0.4976992
7: B L2 0.94467527 0.7176185
8: B L3 0.66079779 0.9919061
9: B L4 0.62911404 0.3800352
10: B L5 0.06178627 0.7774452
>
> if (requireNamespaces(c("mlr3", "rpart"))) {
+ library(mlr3)
+ task = tsks(c("pima", "spam"))
+ learns = lrns(c("classif.featureless", "classif.rpart"))
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 2)))
+
+ # coercion
+ as_benchmark_aggr(bm)
+ }
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsks ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [12s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [10:04:45.637] [mlr3] Running benchmark with 18 resampling iterations
INFO [10:04:46.385] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [10:04:46.515] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [10:04:46.577] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [10:04:46.637] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [10:04:46.712] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [10:04:46.854] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [10:04:46.998] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [10:04:47.076] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [10:04:47.184] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [10:04:47.252] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [10:04:47.315] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [10:04:47.402] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [10:04:47.461] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [10:04:47.594] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [10:04:47.700] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [10:04:47.789] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [10:04:47.881] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [10:04:47.976] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [10:04:48.083] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
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("pima", "spam")) at test_BenchmarkAggr.R:99:3
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"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [08:21:52.146] [mlr3] Running benchmark with 18 resampling iterations
INFO [08:21:52.461] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [08:21:52.508] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [08:21:52.533] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [08:21:52.558] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [08:21:52.594] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [08:21:52.622] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [08:21:52.652] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [08:21:52.682] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [08:21:52.712] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [08:21:52.742] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [08:21:52.769] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [08:21:52.812] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [08:21:52.858] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [08:21:52.902] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [08:21:52.940] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [08:21:52.976] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [08:21:53.012] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [08:21:53.050] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [08:21:53.105] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
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("pima", "spam")) at test_BenchmarkAggr.R:99:3
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"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc