Last updated on 2026-08-03 16:52:31 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.70 | 68.57 | 75.27 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 4.73 | 51.81 | 56.54 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 11.00 | 105.17 | 116.17 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 48.24 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.7 | 9.00 | 74.00 | 83.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.7 | 6.17 | 63.94 | 70.11 | 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 | 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 | 12.00 | 97.00 | 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/9s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [06:37:55.335] [mlr3] Running benchmark with 18 resampling iterations
INFO [06:37:55.577] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [06:37:55.655] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [06:37:55.699] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [06:37:55.741] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [06:37:55.821] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [06:37:55.906] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [06:37:55.991] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [06:37:56.079] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [06:37:56.156] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [06:37:56.241] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [06:37:56.338] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [06:37:56.387] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [06:37:56.422] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [06:37:56.485] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [06:37:56.541] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [06:37:56.605] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [06:37:56.661] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [06:37:56.719] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [06:37:56.795] [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 [18:12:02.715] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:12:03.149] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:12:03.243] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:12:03.300] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:12:03.337] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:12:03.378] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:12:03.423] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:12:03.503] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:12:03.559] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:12:03.596] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:12:03.632] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:12:03.704] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:12:03.785] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:12:03.852] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:12:03.896] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:12:03.940] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:12:04.077] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:12:04.193] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:12:04.249] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:12:04.318] [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: for new files in some other directories
Result: NOTE
Found the following files/directories:
‘~/tmp/scratch/Rtmp12VBvU’ ‘~/tmp/scratch/Rtmp1PH20p’
‘~/tmp/scratch/Rtmp1cFIIM’ ‘~/tmp/scratch/Rtmp35pIvH’
‘~/tmp/scratch/Rtmp3GTLZZ’ ‘~/tmp/scratch/Rtmp41jZtd’
‘~/tmp/scratch/Rtmp43nOiW’ ‘~/tmp/scratch/Rtmp4S67Nu’
‘~/tmp/scratch/Rtmp4nvoBD’ ‘~/tmp/scratch/Rtmp53znoT’
‘~/tmp/scratch/Rtmp59kF4f’ ‘~/tmp/scratch/Rtmp5BZMol’
‘~/tmp/scratch/Rtmp5DSQXb’ ‘~/tmp/scratch/Rtmp5N0tXr’
‘~/tmp/scratch/Rtmp6ZryWs’ ‘~/tmp/scratch/Rtmp7Qepxi’
‘~/tmp/scratch/Rtmp8AWv3o’ ‘~/tmp/scratch/Rtmp8aNjSj’
‘~/tmp/scratch/RtmpA6srqo’ ‘~/tmp/scratch/RtmpAEYEu6’
‘~/tmp/scratch/RtmpANtghI’ ‘~/tmp/scratch/RtmpB7wI3d’
‘~/tmp/scratch/RtmpBDawhW’ ‘~/tmp/scratch/RtmpBcwRdT’
‘~/tmp/scratch/RtmpBjCzk4’ ‘~/tmp/scratch/RtmpC8T9bH’
‘~/tmp/scratch/RtmpCdhxK2’ ‘~/tmp/scratch/RtmpDwBcrw’
‘~/tmp/scratch/RtmpFNNrLn’ ‘~/tmp/scratch/RtmpFzn6ih’
‘~/tmp/scratch/RtmpGSEneA’ ‘~/tmp/scratch/RtmpH63DSk’
‘~/tmp/scratch/RtmpHDBW3F’ ‘~/tmp/scratch/RtmpHOr1VF’
‘~/tmp/scratch/RtmpHza9m3’ ‘~/tmp/scratch/RtmpJ9iCam’
‘~/tmp/scratch/RtmpJC9zpl’ ‘~/tmp/scratch/RtmpKoK7pF’
‘~/tmp/scratch/RtmpLCRlYz’ ‘~/tmp/scratch/RtmpLmoI8z’
‘~/tmp/scratch/RtmpM9nabl’ ‘~/tmp/scratch/RtmpMRTg9V’
‘~/tmp/scratch/RtmpN17pRW’ ‘~/tmp/scratch/RtmpNANUNe’
‘~/tmp/scratch/RtmpO94t9P’ ‘~/tmp/scratch/RtmpOMyg1r’
‘~/tmp/scratch/RtmpPLQkih’ ‘~/tmp/scratch/RtmpQ5rIDK’
‘~/tmp/scratch/RtmpQBsQl9’ ‘~/tmp/scratch/RtmpR4xKNe’
‘~/tmp/scratch/RtmpSNkV4m’ ‘~/tmp/scratch/RtmpSQKkj0’
‘~/tmp/scratch/RtmpT2CAm0’ ‘~/tmp/scratch/RtmpTPVttA’
‘~/tmp/scratch/RtmpTqVyCo’ ‘~/tmp/scratch/RtmpUElkr2’
‘~/tmp/scratch/RtmpUJYXxa’ ‘~/tmp/scratch/RtmpVXb8fC’
‘~/tmp/scratch/RtmpVXhEvR’ ‘~/tmp/scratch/RtmpVs8OQZ’
‘~/tmp/scratch/RtmpVu9aKY’ ‘~/tmp/scratch/RtmpWKIxjD’
‘~/tmp/scratch/RtmpWL9pHQ’ ‘~/tmp/scratch/RtmpXbq0We’
‘~/tmp/scratch/RtmpXqgjvL’ ‘~/tmp/scratch/RtmpYXaY5v’
‘~/tmp/scratch/RtmpYou2X7’ ‘~/tmp/scratch/RtmpZ5BUdq’
‘~/tmp/scratch/RtmpZOj8Gc’ ‘~/tmp/scratch/Rtmpa6xKbF’
‘~/tmp/scratch/RtmpagMBBb’ ‘~/tmp/scratch/RtmpaodlSN’
‘~/tmp/scratch/RtmpbMAz3n’ ‘~/tmp/scratch/RtmpbdZUGy’
‘~/tmp/scratch/Rtmpbkfnnd’ ‘~/tmp/scratch/RtmpcuBo4Y’
‘~/tmp/scratch/Rtmpd7oEy5’ ‘~/tmp/scratch/Rtmpd98sHe’
‘~/tmp/scratch/RtmpdURE6L’ ‘~/tmp/scratch/RtmpdoOdix’
‘~/tmp/scratch/RtmpeJwoLU’ ‘~/tmp/scratch/Rtmpf7Y2gq’
‘~/tmp/scratch/RtmpfYVZXP’ ‘~/tmp/scratch/Rtmpfs9o8E’
‘~/tmp/scratch/RtmpfyMZNk’ ‘~/tmp/scratch/RtmpgHDQDI’
‘~/tmp/scratch/RtmpgdFn6P’ ‘~/tmp/scratch/RtmpgkX5QB’
‘~/tmp/scratch/RtmphdslGI’ ‘~/tmp/scratch/Rtmpi7pdco’
‘~/tmp/scratch/RtmpiVfeW8’ ‘~/tmp/scratch/RtmpiXByLI’
‘~/tmp/scratch/Rtmpid77GE’ ‘~/tmp/scratch/Rtmpix8jEm’
‘~/tmp/scratch/Rtmpjaqlwm’ ‘~/tmp/scratch/RtmpjtnJ06’
‘~/tmp/scratch/RtmplaEvZB’ ‘~/tmp/scratch/RtmplqfUZx’
‘~/tmp/scratch/RtmpmpIM1n’ ‘~/tmp/scratch/Rtmpn8x0AU’
‘~/tmp/scratch/Rtmpo5gZk4’ ‘~/tmp/scratch/RtmppCk37W’
‘~/tmp/scratch/RtmpptAsXP’ ‘~/tmp/scratch/RtmpqDE5r9’
‘~/tmp/scratch/RtmpqZEKer’ ‘~/tmp/scratch/Rtmpqj0sU6’
‘~/tmp/scratch/Rtmpqxb9Lg’ ‘~/tmp/scratch/RtmprF5o0p’
‘~/tmp/scratch/RtmproGtT7’ ‘~/tmp/scratch/RtmprubfeU’
‘~/tmp/scratch/Rtmps3HXrj’ ‘~/tmp/scratch/RtmptrxA7V’
‘~/tmp/scratch/Rtmpu7xoZK’ ‘~/tmp/scratch/RtmpuN7dSu’
‘~/tmp/scratch/RtmpvZ9Fj0’ ‘~/tmp/scratch/RtmpvfmHr4’
‘~/tmp/scratch/RtmpvkfUJD’ ‘~/tmp/scratch/Rtmpxkslb2’
‘~/tmp/scratch/RtmpxtPjNP’ ‘~/tmp/scratch/Rtmpya5cW8’
‘~/tmp/scratch/RtmpypJNUT’ ‘~/tmp/scratch/ccEGDaiV.cdtor.c’
‘~/tmp/scratch/ccbGK2PX.res’ ‘~/tmp/scratch/ccbLFjhL.cdtor.o’
‘~/tmp/scratch/xvfb-run.5TO1oV’ ‘~/tmp/scratch/xvfb-run.8B2fRv’
‘~/tmp/scratch/xvfb-run.8CvBxe’ ‘~/tmp/scratch/xvfb-run.8KtBYH’
‘~/tmp/scratch/xvfb-run.DT0ikb’ ‘~/tmp/scratch/xvfb-run.DfnIAV’
‘~/tmp/scratch/xvfb-run.DullR3’ ‘~/tmp/scratch/xvfb-run.ERRYiu’
‘~/tmp/scratch/xvfb-run.FdygDi’ ‘~/tmp/scratch/xvfb-run.I65eY0’
‘~/tmp/scratch/xvfb-run.MGRM09’ ‘~/tmp/scratch/xvfb-run.NGHuaS’
‘~/tmp/scratch/xvfb-run.Oqte8R’ ‘~/tmp/scratch/xvfb-run.Scsc61’
‘~/tmp/scratch/xvfb-run.TD9hCz’ ‘~/tmp/scratch/xvfb-run.TaPp8N’
‘~/tmp/scratch/xvfb-run.TvnXE5’ ‘~/tmp/scratch/xvfb-run.WsRdHt’
‘~/tmp/scratch/xvfb-run.YiZVaZ’ ‘~/tmp/scratch/xvfb-run.aHkxXN’
‘~/tmp/scratch/xvfb-run.cYipkM’ ‘~/tmp/scratch/xvfb-run.dLxYFo’
‘~/tmp/scratch/xvfb-run.dVExDF’ ‘~/tmp/scratch/xvfb-run.eRUVLm’
‘~/tmp/scratch/xvfb-run.h4J8MI’ ‘~/tmp/scratch/xvfb-run.iOyxQA’
‘~/tmp/scratch/xvfb-run.oc6JZE’ ‘~/tmp/scratch/xvfb-run.ols6En’
‘~/tmp/scratch/xvfb-run.pr3ZF3’ ‘~/tmp/scratch/xvfb-run.qHdEhL’
‘~/tmp/scratch/xvfb-run.qiHxf7’ ‘~/tmp/scratch/xvfb-run.qtelEZ’
‘~/tmp/scratch/xvfb-run.rMNeUH’ ‘~/tmp/scratch/xvfb-run.xJqCbm’
‘/dev/shm/sm_segment.gimli1.1001.45b50000.0’
‘~/.cache/pocl/uncached/tempfile_0zQPeX’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> ### Name: BenchmarkAggr
> ### Title: Aggregated Benchmark Result Object
> ### Aliases: BenchmarkAggr
>
> ### ** Examples
>
> # Not restricted to mlr3 objects
> df = data.frame(tasks = factor(rep(c("A", "B"), each = 5),
+ levels = c("A", "B")),
+ learners = factor(paste0("L", 1:5)),
+ RMSE = runif(10), MAE = runif(10))
> as_benchmark_aggr(df, task_id = "tasks", learner_id = "learners")
<BenchmarkAggr> of 10 rows with 2 tasks, 5 learners and 2 measures
tasks learners RMSE MAE
<fctr> <fctr> <num> <num>
1: A L1 0.26550866 0.2059746
2: A L2 0.37212390 0.1765568
3: A L3 0.57285336 0.6870228
4: A L4 0.90820779 0.3841037
5: A L5 0.20168193 0.7698414
6: B L1 0.89838968 0.4976992
7: B L2 0.94467527 0.7176185
8: B L3 0.66079779 0.9919061
9: B L4 0.62911404 0.3800352
10: B L5 0.06178627 0.7774452
>
> if (requireNamespaces(c("mlr3", "rpart"))) {
+ library(mlr3)
+ task = tsks(c("pima", "spam"))
+ learns = lrns(c("classif.featureless", "classif.rpart"))
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 2)))
+
+ # coercion
+ as_benchmark_aggr(bm)
+ }
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsks ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [12s/17s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [22:52:26.942] [mlr3] Running benchmark with 18 resampling iterations
INFO [22:52:27.632] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [22:52:27.912] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [22:52:27.972] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [22:52:28.032] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [22:52:28.169] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [22:52:28.283] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [22:52:28.359] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [22:52:28.432] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [22:52:28.510] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [22:52:28.581] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [22:52:28.669] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [22:52:28.831] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [22:52:28.924] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [22:52:29.114] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [22:52:29.225] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [22:52:29.432] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [22:52:29.564] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [22:52:29.663] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [22:52:29.809] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [02:19:17.230] [mlr3] Running benchmark with 18 resampling iterations
INFO [02:19:17.554] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [02:19:17.603] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [02:19:17.629] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [02:19:17.657] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [02:19:17.693] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [02:19:17.724] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [02:19:17.756] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [02:19:17.788] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [02:19:17.820] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [02:19:17.851] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [02:19:17.879] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [02:19:17.922] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [02:19:17.967] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [02:19:18.013] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [02:19:18.050] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [02:19:18.088] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [02:19:18.125] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [02:19:18.163] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [02:19:18.207] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [6s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [12:46:11.596] [mlr3] Running benchmark with 18 resampling iterations
INFO [12:46:11.771] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [12:46:11.840] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [12:46:11.887] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [12:46:11.931] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [12:46:11.981] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [12:46:12.027] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [12:46:12.077] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [12:46:12.107] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [12:46:12.147] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [12:46:12.201] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:46:12.245] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:46:12.290] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:46:12.319] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:46:12.369] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:46:12.425] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:46:12.466] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [12:46:12.519] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [12:46:12.574] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [12:46:12.643] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [8s/11s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [18:03:08.910] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:03:09.386] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:03:09.459] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:03:09.535] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:03:09.594] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:03:09.648] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:03:09.713] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:03:09.761] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:03:09.808] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:03:09.854] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:03:09.903] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:03:09.961] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:03:10.072] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:03:10.129] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:03:10.191] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:03:10.286] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:03:10.372] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:03:10.464] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:03:10.582] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:03:10.729] [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' [6s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [12:47:09.255] [mlr3] Running benchmark with 18 resampling iterations
INFO [12:47:09.554] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [12:47:09.601] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [12:47:09.644] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [12:47:09.685] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [12:47:09.733] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [12:47:09.778] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [12:47:09.823] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [12:47:09.865] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [12:47:09.913] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [12:47:09.971] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:47:10.010] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:47:10.036] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:47:10.059] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:47:10.097] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:47:10.140] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:47:10.192] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [12:47:10.250] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [12:47:10.297] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [12:47:10.342] [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 [03:35:32.769] [mlr3] Running benchmark with 18 resampling iterations
INFO [03:35:33.029] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [03:35:33.129] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [03:35:33.166] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [03:35:33.217] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [03:35:33.290] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [03:35:33.356] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [03:35:33.406] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [03:35:33.464] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [03:35:33.529] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [03:35:33.596] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [03:35:33.662] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [03:35:33.706] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [03:35:33.756] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [03:35:33.851] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [03:35:33.950] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [03:35:34.030] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [03:35:34.100] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [03:35:34.177] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [03:35:34.269] [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