Last updated on 2026-08-16 08:50:37 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.32 | 71.38 | 77.70 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 4.23 | 51.05 | 55.28 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 5.00 | 50.15 | 55.15 | 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 | 78.00 | 87.00 | 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 | 76.00 | 85.00 | 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 | 100.00 | 111.00 | 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/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 [07:03:47.109] [mlr3] Running benchmark with 18 resampling iterations
INFO [07:03:47.348] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [07:03:47.460] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [07:03:47.544] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [07:03:47.642] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [07:03:47.755] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [07:03:47.831] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [07:03:47.873] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [07:03:47.912] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [07:03:47.958] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [07:03:47.998] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [07:03:48.043] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [07:03:48.089] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [07:03:48.135] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [07:03:48.198] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [07:03:48.258] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [07:03:48.320] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [07:03:48.378] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [07:03:48.449] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [07:03:48.525] [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/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 [18:21:18.781] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:21:19.138] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:21:19.191] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:21:19.242] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:21:19.285] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:21:19.326] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:21:19.406] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:21:19.464] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:21:19.502] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:21:19.563] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:21:19.599] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:21:19.672] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:21:19.750] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:21:19.823] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:21:19.887] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:21:19.968] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:21:20.034] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:21:20.128] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:21:20.202] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:21:20.314] [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’ [6s/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 [20:45:44.423] [mlr3] Running benchmark with 18 resampling iterations
INFO [20:45:45.076] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [20:45:45.190] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [20:45:45.251] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [20:45:45.313] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [20:45:45.392] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [20:45:45.432] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [20:45:45.502] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [20:45:45.566] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [20:45:45.623] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [20:45:45.693] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [20:45:45.738] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [20:45:45.779] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [20:45:45.832] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [20:45:45.933] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [20:45:46.014] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [20:45:46.095] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [20:45:46.193] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [20:45:46.283] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [20:45:46.381] [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 [22:09:54.099] [mlr3] Running benchmark with 18 resampling iterations
INFO [22:09:54.261] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [22:09:54.330] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [22:09:54.370] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [22:09:54.411] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [22:09:54.465] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [22:09:54.515] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [22:09:54.581] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [22:09:54.639] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [22:09:54.694] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [22:09:54.749] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [22:09:54.803] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [22:09:54.837] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [22:09:54.862] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [22:09:54.901] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [22:09:54.950] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [22:09:55.009] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [22:09:55.062] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [22:09:55.114] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [22:09:55.171] [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' [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 [16:07:40.055] [mlr3] Running benchmark with 18 resampling iterations
INFO [16:07:40.305] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [16:07:40.363] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [16:07:40.411] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [16:07:40.454] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [16:07:40.504] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [16:07:40.537] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [16:07:40.569] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [16:07:40.620] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [16:07:40.668] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [16:07:40.707] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [16:07:40.753] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [16:07:40.796] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [16:07:40.831] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [16:07:40.877] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [16:07:40.930] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [16:07:40.986] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [16:07:41.034] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [16:07:41.085] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [16:07:41.149] [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 [20:00:03.446] [mlr3] Running benchmark with 18 resampling iterations
INFO [20:00:03.719] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [20:00:03.824] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [20:00:03.885] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [20:00:03.946] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [20:00:04.017] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [20:00:04.077] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [20:00:04.138] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [20:00:04.203] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [20:00:04.273] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [20:00:04.329] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [20:00:04.399] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [20:00:04.441] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [20:00:04.494] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [20:00:04.574] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [20:00:04.657] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [20:00:04.741] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [20:00:04.821] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [20:00:04.902] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [20:00:04.995] [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