Last updated on 2026-08-01 01:52:42 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 | 4.46 | 51.76 | 56.22 | 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 | 6.51 | 65.15 | 71.66 | ERROR | |
| r-release-macos-arm64 | 0.1.7 | 2.00 | 21.00 | 23.00 | OK | |
| r-release-macos-x86_64 | 0.1.7 | 5.00 | 84.00 | 89.00 | OK | |
| r-release-windows-x86_64 | 0.1.7 | 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/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 [18:13:19.201] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:13:19.674] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:13:19.735] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:13:19.778] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:13:19.819] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:13:19.882] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:13:19.919] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:13:19.955] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:13:19.990] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:13:20.025] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:13:20.083] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:13:20.140] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:13:20.236] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:13:20.295] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:13:20.358] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:13:20.404] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:13:20.451] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:13:20.500] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:13:20.549] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:13:20.624] [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/Rtmp0CgIPP’ ‘~/tmp/scratch/Rtmp0pU0hl’
‘~/tmp/scratch/Rtmp1CNt3t’ ‘~/tmp/scratch/Rtmp1cpiqy’
‘~/tmp/scratch/Rtmp2pHWJc’ ‘~/tmp/scratch/Rtmp3oqFKf’
‘~/tmp/scratch/Rtmp3w5daA’ ‘~/tmp/scratch/Rtmp4Wf9j6’
‘~/tmp/scratch/Rtmp4dTGOd’ ‘~/tmp/scratch/Rtmp4ukzsk’
‘~/tmp/scratch/Rtmp59ZBpX’ ‘~/tmp/scratch/Rtmp5Ucqhy’
‘~/tmp/scratch/Rtmp5cUERS’ ‘~/tmp/scratch/Rtmp5w6rc4’
‘~/tmp/scratch/Rtmp6Nf47G’ ‘~/tmp/scratch/Rtmp6YwxfI’
‘~/tmp/scratch/Rtmp6feo2q’ ‘~/tmp/scratch/Rtmp6sQieS’
‘~/tmp/scratch/Rtmp7OUjlj’ ‘~/tmp/scratch/Rtmp7v7Lhw’
‘~/tmp/scratch/Rtmp93OWGf’ ‘~/tmp/scratch/Rtmp9LxdAH’
‘~/tmp/scratch/RtmpBCy1mN’ ‘~/tmp/scratch/RtmpBG5MO2’
‘~/tmp/scratch/RtmpBxW4Of’ ‘~/tmp/scratch/RtmpCV3xpN’
‘~/tmp/scratch/RtmpCZPAbY’ ‘~/tmp/scratch/RtmpDIDXpp’
‘~/tmp/scratch/RtmpDawbfx’ ‘~/tmp/scratch/RtmpDhaZGn’
‘~/tmp/scratch/RtmpE1MmWP’ ‘~/tmp/scratch/RtmpE1Q2nb’
‘~/tmp/scratch/RtmpEB6epv’ ‘~/tmp/scratch/RtmpEdePlH’
‘~/tmp/scratch/RtmpEptvIS’ ‘~/tmp/scratch/RtmpFJNqMd’
‘~/tmp/scratch/RtmpFPWOzD’ ‘~/tmp/scratch/RtmpGGDKUk’
‘~/tmp/scratch/RtmpGNgcme’ ‘~/tmp/scratch/RtmpGepQbV’
‘~/tmp/scratch/RtmpGgODqd’ ‘~/tmp/scratch/RtmpHYoe3L’
‘~/tmp/scratch/RtmpHau0IS’ ‘~/tmp/scratch/RtmpHmOUvu’
‘~/tmp/scratch/RtmpI9enf8’ ‘~/tmp/scratch/RtmpItTjrl’
‘~/tmp/scratch/RtmpJn0BzB’ ‘~/tmp/scratch/RtmpL5JaXY’
‘~/tmp/scratch/RtmpL7HHI9’ ‘~/tmp/scratch/RtmpLKwcxU’
‘~/tmp/scratch/RtmpLi9iOM’ ‘~/tmp/scratch/RtmpLjplKH’
‘~/tmp/scratch/RtmpLmOaPk’ ‘~/tmp/scratch/RtmpMeGI9x’
‘~/tmp/scratch/RtmpNcl1IB’ ‘~/tmp/scratch/RtmpNsvbUc’
‘~/tmp/scratch/RtmpOJ7Hj0’ ‘~/tmp/scratch/RtmpOMNrIs’
‘~/tmp/scratch/RtmpOjdt8z’ ‘~/tmp/scratch/RtmpPfe7Z5’
‘~/tmp/scratch/RtmpQ6p6Bk’ ‘~/tmp/scratch/RtmpQXEIgv’
‘~/tmp/scratch/RtmpRiO7Ez’ ‘~/tmp/scratch/RtmpRjmd5d’
‘~/tmp/scratch/RtmpRtpr77’ ‘~/tmp/scratch/RtmpS9wZqw’
‘~/tmp/scratch/RtmpSD2tgg’ ‘~/tmp/scratch/RtmpSFRm9g’
‘~/tmp/scratch/RtmpSHNPgH’ ‘~/tmp/scratch/RtmpSVvgFW’
‘~/tmp/scratch/RtmpTIqtog’ ‘~/tmp/scratch/RtmpU5Nnj0’
‘~/tmp/scratch/RtmpU7SA4F’ ‘~/tmp/scratch/RtmpUlSrsC’
‘~/tmp/scratch/RtmpVSLjPi’ ‘~/tmp/scratch/RtmpVyWEQe’
‘~/tmp/scratch/RtmpWLLdhT’ ‘~/tmp/scratch/RtmpWMkTmI’
‘~/tmp/scratch/RtmpXjXxSD’ ‘~/tmp/scratch/RtmpXoGzBK’
‘~/tmp/scratch/RtmpYQVKIm’ ‘~/tmp/scratch/RtmpZ8Uzbk’
‘~/tmp/scratch/RtmpZNJD40’ ‘~/tmp/scratch/RtmpZpodo6’
‘~/tmp/scratch/Rtmpa02G58’ ‘~/tmp/scratch/RtmpbKrmsB’
‘~/tmp/scratch/RtmpcNWTnQ’ ‘~/tmp/scratch/RtmpcrMChV’
‘~/tmp/scratch/Rtmpcx5fDB’ ‘~/tmp/scratch/Rtmpe7uF4S’
‘~/tmp/scratch/RtmpeqDE1f’ ‘~/tmp/scratch/Rtmpf5OsG2’
‘~/tmp/scratch/RtmpfVLspu’ ‘~/tmp/scratch/RtmpfdK7yF’
‘~/tmp/scratch/RtmpghZXVs’ ‘~/tmp/scratch/RtmphglHHa’
‘~/tmp/scratch/RtmphyGpuM’ ‘~/tmp/scratch/RtmpiQsxEy’
‘~/tmp/scratch/RtmpiXR8PI’ ‘~/tmp/scratch/Rtmpiqrq3a’
‘~/tmp/scratch/RtmpjCNdCr’ ‘~/tmp/scratch/RtmpjcwXTe’
‘~/tmp/scratch/RtmpkiE6lw’ ‘~/tmp/scratch/RtmpmvCclQ’
‘~/tmp/scratch/Rtmpn7rJis’ ‘~/tmp/scratch/RtmpnyOs0W’
‘~/tmp/scratch/Rtmpo9XRIl’ ‘~/tmp/scratch/RtmppOY9gy’
‘~/tmp/scratch/RtmppfJCzj’ ‘~/tmp/scratch/Rtmpqf39dw’
‘~/tmp/scratch/RtmprEfTeD’ ‘~/tmp/scratch/Rtmprc9JYU’
‘~/tmp/scratch/Rtmpt7mrfn’ ‘~/tmp/scratch/RtmptG8te4’
‘~/tmp/scratch/RtmptHxFp6’ ‘~/tmp/scratch/Rtmpuw9H8b’
‘~/tmp/scratch/RtmpwDkmca’ ‘~/tmp/scratch/RtmpxDwumC’
‘~/tmp/scratch/RtmpyhRfk1’ ‘~/tmp/scratch/RtmpykR02t’
‘~/tmp/scratch/RtmpzqcFOr’ ‘~/tmp/scratch/xvfb-run.0WMmIL’
‘~/tmp/scratch/xvfb-run.4zYr4e’ ‘~/tmp/scratch/xvfb-run.6f48Mi’
‘~/tmp/scratch/xvfb-run.7oY2my’ ‘~/tmp/scratch/xvfb-run.AD38gx’
‘~/tmp/scratch/xvfb-run.Aw1BcG’ ‘~/tmp/scratch/xvfb-run.DizuaG’
‘~/tmp/scratch/xvfb-run.DpVJCy’ ‘~/tmp/scratch/xvfb-run.EpydXC’
‘~/tmp/scratch/xvfb-run.F67UVo’ ‘~/tmp/scratch/xvfb-run.GL2h9p’
‘~/tmp/scratch/xvfb-run.JBzQlD’ ‘~/tmp/scratch/xvfb-run.JkmEZx’
‘~/tmp/scratch/xvfb-run.RoqCvv’ ‘~/tmp/scratch/xvfb-run.SMm7z4’
‘~/tmp/scratch/xvfb-run.XUoxzT’ ‘~/tmp/scratch/xvfb-run.Xv0c5R’
‘~/tmp/scratch/xvfb-run.Ybh2RF’ ‘~/tmp/scratch/xvfb-run.c0UXAe’
‘~/tmp/scratch/xvfb-run.cBiKux’ ‘~/tmp/scratch/xvfb-run.gVCAXy’
‘~/tmp/scratch/xvfb-run.hmI1ql’ ‘~/tmp/scratch/xvfb-run.lH3G96’
‘~/tmp/scratch/xvfb-run.loZJpB’ ‘~/tmp/scratch/xvfb-run.lubzuR’
‘~/tmp/scratch/xvfb-run.mTRJMN’ ‘~/tmp/scratch/xvfb-run.mYgJaB’
‘~/tmp/scratch/xvfb-run.otcPmI’ ‘~/tmp/scratch/xvfb-run.qYo65r’
‘~/tmp/scratch/xvfb-run.s9wAaM’ ‘~/tmp/scratch/xvfb-run.sMvLpv’
‘~/tmp/scratch/xvfb-run.tW6Wui’ ‘~/tmp/scratch/xvfb-run.vzd51r’
‘~/tmp/scratch/xvfb-run.zd0H90’ ‘~/tmp/scratch/xvfb-run.zhocX9’
‘~/tmp/scratch/xvfb-run.ztnlmN’ ‘~/tmp/scratch/xvfb-run.zxBN6a’
‘/dev/shm/sm_segment.gimli1.1001.c7b70000.0’
‘~/.cache/pocl/uncached/tempfile_9HZ3iL’
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’ [8s/11s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [17:57:14.708] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:57:15.517] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:57:15.795] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:57:15.881] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:57:16.024] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:57:16.130] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:57:16.201] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:57:16.249] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:57:16.296] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:57:16.343] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:57:16.387] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:57:16.444] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:57:16.513] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:57:16.565] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:57:16.623] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:57:16.683] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:57:16.744] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:57:16.808] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:57:16.865] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:57:17.016] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [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 [12:19:56.634] [mlr3] Running benchmark with 18 resampling iterations
INFO [12:19:56.954] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [12:19:57.021] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [12:19:57.060] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [12:19:57.096] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [12:19:57.149] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [12:19:57.196] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [12:19:57.245] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [12:19:57.285] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [12:19:57.344] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [12:19:57.391] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [12:19:57.435] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [12:19:57.487] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [12:19:57.527] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [12:19:57.570] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [12:19:57.615] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [12:19:57.666] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [12:19:57.720] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [12:19:57.773] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [12:19:57.833] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [9s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [05:04:34.555] [mlr3] Running benchmark with 18 resampling iterations
INFO [05:04:34.724] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [05:04:34.800] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [05:04:34.838] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [05:04:34.886] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [05:04:34.956] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [05:04:35.006] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [05:04:35.066] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [05:04:35.118] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [05:04:35.186] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [05:04:35.266] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [05:04:35.341] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [05:04:35.387] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [05:04:35.421] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [05:04:35.494] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [05:04:35.572] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [05:04:35.651] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [05:04:35.721] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [05:04:35.806] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [05:04:35.901] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-oldrel-windows-x86_64