Last updated on 2026-08-19 10:56:12 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 7.08 | 70.65 | 77.73 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 4.63 | 51.82 | 56.45 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 50.97 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 5.00 | 47.90 | 52.90 | ERROR | |
| r-devel-windows-x86_64 | 0.1.7 | 9.00 | 84.00 | 93.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.7 | 5.37 | 63.03 | 68.40 | ERROR | |
| r-release-linux-x86_64 | 0.1.7 | 6.43 | 62.68 | 69.11 | 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 | 9.00 | 0.00 | 9.00 | 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 | 96.00 | 107.00 | 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-patched-linux-x86_64, r-release-linux-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 [06:58:58.426] [mlr3] Running benchmark with 18 resampling iterations
INFO [06:58:59.168] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [06:58:59.249] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [06:58:59.344] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [06:58:59.422] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [06:58:59.471] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [06:58:59.515] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [06:58:59.604] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [06:58:59.648] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [06:58:59.693] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [06:58:59.768] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [06:58:59.822] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [06:58:59.889] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [06:58:59.949] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [06:59:00.051] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [06:59:00.110] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [06:59:00.173] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [06:59:00.234] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [06:59:00.299] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [06:59:00.371] [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/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 [18:29:43.598] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:29:43.951] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:29:44.010] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:29:44.056] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:29:44.132] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:29:44.193] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:29:44.229] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:29:44.265] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:29:44.343] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:29:44.413] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:29:44.468] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:29:44.542] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:29:44.625] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:29:44.696] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:29:44.740] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:29:44.825] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:29:44.961] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:29:45.013] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:29:45.092] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:29:45.166] [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’
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 [11:09:26.999] [mlr3] Running benchmark with 18 resampling iterations
INFO [11:09:27.428] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [11:09:27.477] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [11:09:27.501] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [11:09:27.525] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [11:09:27.558] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [11:09:27.587] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [11:09:27.616] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [11:09:27.645] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [11:09:27.674] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [11:09:27.703] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [11:09:27.730] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [11:09:27.764] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [11:09:27.787] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [11:09:27.826] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [11:09:27.864] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [11:09:27.904] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [11:09:27.942] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [11:09:27.980] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [11:09:28.024] [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’ [6s/15s]
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 [19:50:21.333] [mlr3] Running benchmark with 18 resampling iterations
INFO [19:50:22.232] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [19:50:22.339] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [19:50:22.395] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [19:50:22.480] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [19:50:22.555] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [19:50:22.622] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [19:50:22.689] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [19:50:22.771] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [19:50:22.875] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [19:50:22.959] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [19:50:23.023] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [19:50:23.089] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [19:50:23.161] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [19:50:23.243] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [19:50:23.331] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [19:50:23.393] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [19:50:23.469] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [19:50:23.559] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [19:50:23.664] [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' [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 [21:22:19.000] [mlr3] Running benchmark with 18 resampling iterations
INFO [21:22:19.367] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [21:22:19.454] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [21:22:19.495] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [21:22:19.544] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [21:22:19.605] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [21:22:19.655] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [21:22:19.713] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [21:22:19.771] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [21:22:19.824] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [21:22:19.883] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [21:22:19.931] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [21:22:19.986] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [21:22:20.017] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [21:22:20.086] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [21:22:20.151] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [21:22:20.220] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [21:22:20.281] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [21:22:20.342] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [21:22:20.420] [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/10s]
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 [18:18:19.453] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:18:19.880] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:18:19.967] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:18:20.036] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:18:20.118] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:18:20.213] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:18:20.306] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:18:20.402] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:18:20.451] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:18:20.495] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:18:20.538] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:18:20.590] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:18:20.642] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:18:20.678] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:18:20.736] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:18:20.796] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:18:20.852] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:18:20.926] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:18:20.991] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:18:21.065] [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-patched-linux-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [7s/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 [18:18:18.476] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:18:19.027] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:18:19.100] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:18:19.177] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:18:19.262] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:18:19.367] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:18:19.463] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:18:19.564] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:18:19.629] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:18:19.711] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:18:19.806] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:18:19.892] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:18:19.982] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:18:20.036] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:18:20.094] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:18:20.156] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:18:20.218] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:18:20.308] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:18:20.472] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:18:20.618] [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 [15:04:48.110] [mlr3] Running benchmark with 18 resampling iterations
INFO [15:04:48.401] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [15:04:48.475] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [15:04:48.517] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [15:04:48.549] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [15:04:48.604] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [15:04:48.678] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [15:04:48.726] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [15:04:48.770] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [15:04:48.806] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [15:04:48.843] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [15:04:48.886] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [15:04:48.936] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [15:04:48.977] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [15:04:49.039] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [15:04:49.090] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [15:04:49.151] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [15:04:49.211] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [15:04:49.269] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [15:04:49.344] [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 [12:08:09.041] [mlr3] Running benchmark with 18 resampling iterations
INFO [12:08:09.259] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [12:08:09.349] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [12:08:09.402] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [12:08:09.457] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [12:08:09.528] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [12:08:09.595] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [12:08:09.662] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [12:08:09.728] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [12:08:09.795] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [12:08:09.863] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:08:09.952] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:08:10.001] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:08:10.053] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:08:10.111] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:08:10.185] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:08:10.266] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [12:08:10.347] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [12:08:10.427] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [12:08:10.521] [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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