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Last updated on 2026-07-30 00:54:54 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.48 | 69.34 | 75.82 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 4.63 | 50.86 | 55.49 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 11.00 | 105.17 | 116.17 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 48.24 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.7 | 9.00 | 74.00 | 83.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.7 | 6.60 | 76.57 | 83.17 | OK | |
| r-release-linux-x86_64 | 0.1.7 | 6.51 | 65.15 | 71.66 | ERROR | |
| 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 | 76.00 | 84.00 | ERROR | |
| 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 | 97.00 | 108.00 | ERROR |
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
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-release-linux-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [9s/9s]
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 [06:35:28.543] [mlr3] Running benchmark with 18 resampling iterations
INFO [06:35:28.751] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [06:35:28.829] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [06:35:28.881] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [06:35:28.934] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [06:35:28.995] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [06:35:29.039] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [06:35:29.082] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [06:35:29.124] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [06:35:29.174] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [06:35:29.217] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [06:35:29.268] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [06:35:29.328] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [06:35:29.378] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [06:35:29.465] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [06:35:29.526] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [06:35:29.616] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [06:35:29.676] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [06:35:29.736] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [06:35:29.812] [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-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [6s/7s]
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 [18:08:44.444] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:08:44.572] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:08:44.648] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:08:44.677] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:08:44.743] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:08:44.779] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:08:44.806] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:08:44.830] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:08:44.859] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:08:44.896] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:08:44.925] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:08:45.001] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:08:45.063] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:08:45.125] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:08:45.169] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:08:45.207] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:08:45.279] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:08:45.320] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:08:45.361] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:08:45.442] [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, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [12s/17s]
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 [22:52:26.942] [mlr3] Running benchmark with 18 resampling iterations
INFO [22:52:27.632] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [22:52:27.912] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [22:52:27.972] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [22:52:28.032] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [22:52:28.169] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [22:52:28.283] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [22:52:28.359] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [22:52:28.432] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [22:52:28.510] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [22:52:28.581] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [22:52:28.669] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [22:52:28.831] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [22:52:28.924] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [22:52:29.114] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [22:52:29.225] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [22:52:29.432] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [22:52:29.564] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [22:52:29.663] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [22:52:29.809] [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 [02:19:17.230] [mlr3] Running benchmark with 18 resampling iterations
INFO [02:19:17.554] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [02:19:17.603] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [02:19:17.629] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [02:19:17.657] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [02:19:17.693] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [02:19:17.724] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [02:19:17.756] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [02:19:17.788] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [02:19:17.820] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [02:19:17.851] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [02:19:17.879] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [02:19:17.922] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [02:19:17.967] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [02:19:18.013] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [02:19:18.050] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [02:19:18.088] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [02:19:18.125] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [02:19:18.163] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [02:19:18.207] [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
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [6s]
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 [12:46:11.596] [mlr3] Running benchmark with 18 resampling iterations
INFO [12:46:11.771] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [12:46:11.840] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [12:46:11.887] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [12:46:11.931] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [12:46:11.981] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [12:46:12.027] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [12:46:12.077] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [12:46:12.107] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [12:46:12.147] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [12:46:12.201] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:46:12.245] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:46:12.290] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:46:12.319] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:46:12.369] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:46:12.425] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:46:12.466] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [12:46:12.519] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [12:46:12.574] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [12:46:12.643] [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-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [8s/11s]
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 [17:57:14.708] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:57:15.517] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:57:15.795] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:57:15.881] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:57:16.024] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:57:16.130] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:57:16.201] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:57:16.249] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:57:16.296] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:57:16.343] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:57:16.387] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:57:16.444] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:57:16.513] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:57:16.565] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:57:16.623] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:57:16.683] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:57:16.744] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:57:16.808] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:57:16.865] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:57:17.016] [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-release-linux-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [7s]
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 [11:13:38.546] [mlr3] Running benchmark with 18 resampling iterations
INFO [11:13:38.881] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [11:13:38.946] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [11:13:38.974] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [11:13:39.017] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [11:13:39.063] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [11:13:39.120] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [11:13:39.182] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [11:13:39.241] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [11:13:39.292] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [11:13:39.344] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [11:13:39.391] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [11:13:39.432] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [11:13:39.459] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [11:13:39.502] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [11:13:39.553] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [11:13:39.607] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [11:13:39.661] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [11:13:39.716] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [11:13:39.776] [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-release-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [9s]
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 [05:04:34.555] [mlr3] Running benchmark with 18 resampling iterations
INFO [05:04:34.724] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [05:04:34.800] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [05:04:34.838] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [05:04:34.886] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [05:04:34.956] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [05:04:35.006] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [05:04:35.066] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [05:04:35.118] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [05:04:35.186] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [05:04:35.266] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [05:04:35.341] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [05:04:35.387] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [05:04:35.421] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [05:04:35.494] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [05:04:35.572] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [05:04:35.651] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [05:04:35.721] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [05:04:35.806] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [05:04:35.901] [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-oldrel-windows-x86_64
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