Last updated on 2026-08-08 04:50:45 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.74 | 68.18 | 74.92 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 5.08 | 50.96 | 56.04 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 5.00 | 47.13 | 52.13 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 5.00 | 45.98 | 50.98 | ERROR | |
| r-devel-windows-x86_64 | 0.1.7 | 9.00 | 76.00 | 85.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.7 | 6.54 | 62.83 | 69.37 | ERROR | |
| r-release-linux-x86_64 | 0.1.7 | 5.73 | 64.63 | 70.36 | 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 | 75.00 | 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 | 98.00 | 109.00 | 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 [06:52:34.184] [mlr3] Running benchmark with 18 resampling iterations
INFO [06:52:34.950] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [06:52:35.120] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [06:52:35.226] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [06:52:35.332] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [06:52:35.430] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [06:52:35.472] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [06:52:35.514] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [06:52:35.557] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [06:52:35.603] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [06:52:35.648] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [06:52:35.692] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [06:52:35.739] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [06:52:35.788] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [06:52:35.844] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [06:52:35.901] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [06:52:35.959] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [06:52:36.016] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [06:52:36.074] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [06:52:36.187] [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 [18:15:27.488] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:15:27.960] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:15:28.041] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:15:28.128] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:15:28.165] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:15:28.213] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:15:28.252] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:15:28.291] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:15:28.334] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:15:28.387] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:15:28.432] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:15:28.468] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:15:28.549] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:15:28.622] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:15:28.684] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:15:28.761] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:15:28.803] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:15:28.871] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:15:28.938] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:15:29.056] [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’ [5s/12s]
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 [17:04:39.154] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:04:39.952] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:04:40.070] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:04:40.144] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:04:40.215] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:04:40.289] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:04:40.356] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:04:40.423] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:04:40.491] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:04:40.559] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:04:40.627] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:04:40.703] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:04:40.791] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:04:40.860] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:04:40.939] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:04:41.026] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:04:41.109] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:04:41.189] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:04:41.269] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:04:41.364] [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/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 [18:09:03.421] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:09:03.777] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:09:03.880] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:09:03.939] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:09:04.002] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:09:04.065] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:09:04.126] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:09:04.205] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:09:04.296] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:09:04.386] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:09:04.468] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:09:04.572] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:09:04.664] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:09:04.755] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:09:04.874] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:09:04.976] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:09:05.086] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:09:05.192] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:09:05.297] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:09:05.417] [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 [18:24:37.798] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:24:37.993] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:24:38.061] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:24:38.109] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:24:38.159] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:24:38.222] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:24:38.280] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:24:38.336] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:24:38.382] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:24:38.428] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:24:38.470] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:24:38.517] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:24:38.565] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:24:38.600] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:24:38.645] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:24:38.685] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:24:38.738] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:24:38.779] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:24:38.819] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:24:38.862] [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’ [7s/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 [18:13:44.470] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:13:44.901] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:13:45.020] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:13:45.086] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:13:45.154] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:13:45.261] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:13:45.347] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:13:45.424] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:13:45.466] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:13:45.512] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:13:45.568] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:13:45.664] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:13:45.733] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:13:45.785] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:13:45.840] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:13:45.900] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:13:45.976] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:13:46.065] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:13:46.127] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:13:46.203] [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/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 [18:05:27.535] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:05:27.935] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:05:28.008] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:05:28.046] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:05:28.110] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:05:28.167] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:05:28.210] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:05:28.265] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:05:28.307] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:05:28.350] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:05:28.392] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:05:28.430] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:05:28.499] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:05:28.548] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:05:28.603] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:05:28.661] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:05:28.719] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:05:28.800] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:05:28.868] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:05:28.940] [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 [17:59:29.558] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:59:29.894] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:59:29.973] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:59:30.005] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:59:30.048] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:59:30.104] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:59:30.154] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:59:30.205] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:59:30.252] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:59:30.308] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:59:30.361] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:59:30.407] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:59:30.459] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:59:30.498] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:59:30.556] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:59:30.592] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:59:30.649] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:59:30.708] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:59:30.767] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:59:30.834] [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' [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 [10:42:31.512] [mlr3] Running benchmark with 18 resampling iterations
INFO [10:42:31.790] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [10:42:31.891] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [10:42:31.939] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [10:42:31.999] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [10:42:32.075] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [10:42:32.143] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [10:42:32.218] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [10:42:32.290] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [10:42:32.362] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [10:42:32.428] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [10:42:32.495] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [10:42:32.547] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [10:42:32.595] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [10:42:32.667] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [10:42:32.735] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [10:42:32.795] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [10:42:32.865] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [10:42:32.947] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [10:42:33.036] [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