Last updated on 2026-08-09 06:52:15 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.74 | 68.18 | 74.92 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 4.50 | 51.59 | 56.09 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 5.00 | 47.13 | 52.13 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 5.00 | 45.98 | 50.98 | ERROR | |
| r-devel-windows-x86_64 | 0.1.7 | 9.00 | 76.00 | 85.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.7 | 6.54 | 62.83 | 69.37 | ERROR | |
| r-release-linux-x86_64 | 0.1.7 | 6.40 | 63.46 | 69.86 | 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 | 98.00 | 110.00 | ERROR |
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: BenchmarkAggr
> ### Title: Aggregated Benchmark Result Object
> ### Aliases: BenchmarkAggr
>
> ### ** Examples
>
> # Not restricted to mlr3 objects
> df = data.frame(tasks = factor(rep(c("A", "B"), each = 5),
+ levels = c("A", "B")),
+ learners = factor(paste0("L", 1:5)),
+ RMSE = runif(10), MAE = runif(10))
> as_benchmark_aggr(df, task_id = "tasks", learner_id = "learners")
<BenchmarkAggr> of 10 rows with 2 tasks, 5 learners and 2 measures
tasks learners RMSE MAE
<fctr> <fctr> <num> <num>
1: A L1 0.26550866 0.2059746
2: A L2 0.37212390 0.1765568
3: A L3 0.57285336 0.6870228
4: A L4 0.90820779 0.3841037
5: A L5 0.20168193 0.7698414
6: B L1 0.89838968 0.4976992
7: B L2 0.94467527 0.7176185
8: B L3 0.66079779 0.9919061
9: B L4 0.62911404 0.3800352
10: B L5 0.06178627 0.7774452
>
> if (requireNamespaces(c("mlr3", "rpart"))) {
+ library(mlr3)
+ task = tsks(c("pima", "spam"))
+ learns = lrns(c("classif.featureless", "classif.rpart"))
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 2)))
+
+ # coercion
+ as_benchmark_aggr(bm)
+ }
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsks ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [8s/11s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [06:52:34.184] [mlr3] Running benchmark with 18 resampling iterations
INFO [06:52:34.950] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [06:52:35.120] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [06:52:35.226] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [06:52:35.332] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [06:52:35.430] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [06:52:35.472] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [06:52:35.514] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [06:52:35.557] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [06:52:35.603] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [06:52:35.648] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [06:52:35.692] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [06:52:35.739] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [06:52:35.788] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [06:52:35.844] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [06:52:35.901] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [06:52:35.959] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [06:52:36.016] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [06:52:36.074] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [06:52:36.187] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [5s/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 [18:17:56.922] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:17:57.275] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:17:57.333] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:17:57.376] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:17:57.414] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:17:57.466] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:17:57.542] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:17:57.577] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:17:57.624] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:17:57.654] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:17:57.688] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:17:57.723] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:17:57.782] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:17:57.842] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:17:57.882] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:17:57.921] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:17:57.964] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:17:58.015] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:17:58.068] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:17:58.126] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> ### Name: BenchmarkAggr
> ### Title: Aggregated Benchmark Result Object
> ### Aliases: BenchmarkAggr
>
> ### ** Examples
>
> # Not restricted to mlr3 objects
> df = data.frame(tasks = factor(rep(c("A", "B"), each = 5),
+ levels = c("A", "B")),
+ learners = factor(paste0("L", 1:5)),
+ RMSE = runif(10), MAE = runif(10))
> as_benchmark_aggr(df, task_id = "tasks", learner_id = "learners")
<BenchmarkAggr> of 10 rows with 2 tasks, 5 learners and 2 measures
tasks learners RMSE MAE
<fctr> <fctr> <num> <num>
1: A L1 0.26550866 0.2059746
2: A L2 0.37212390 0.1765568
3: A L3 0.57285336 0.6870228
4: A L4 0.90820779 0.3841037
5: A L5 0.20168193 0.7698414
6: B L1 0.89838968 0.4976992
7: B L2 0.94467527 0.7176185
8: B L3 0.66079779 0.9919061
9: B L4 0.62911404 0.3800352
10: B L5 0.06178627 0.7774452
>
> if (requireNamespaces(c("mlr3", "rpart"))) {
+ library(mlr3)
+ task = tsks(c("pima", "spam"))
+ learns = lrns(c("classif.featureless", "classif.rpart"))
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 2)))
+
+ # coercion
+ as_benchmark_aggr(bm)
+ }
Warning in data(list = id, package = package, envir = ee) :
data set ‘PimaIndiansDiabetes2’ not found
Error in UseMethod("as_data_backend") :
no applicable method for 'as_data_backend' applied to an object of class "NULL"
Calls: tsks ... dictionary_initialize_item -> do.call -> <Anonymous> -> as_data_backend
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [5s/12s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [17:04:39.154] [mlr3] Running benchmark with 18 resampling iterations
INFO [17:04:39.952] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:04:40.070] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:04:40.144] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:04:40.215] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:04:40.289] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:04:40.356] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:04:40.423] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [17:04:40.491] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [17:04:40.559] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [17:04:40.627] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:04:40.703] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:04:40.791] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:04:40.860] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:04:40.939] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:04:41.026] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:04:41.109] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [17:04:41.189] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [17:04:41.269] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [17:04:41.364] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [6s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [18:09:03.421] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:09:03.777] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:09:03.880] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:09:03.939] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:09:04.002] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:09:04.065] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:09:04.126] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:09:04.205] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:09:04.296] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:09:04.386] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:09:04.468] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:09:04.572] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:09:04.664] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:09:04.755] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:09:04.874] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:09:04.976] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:09:05.086] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:09:05.192] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:09:05.297] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:09:05.417] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.1.7
Check: tests
Result: ERROR
Running 'testthat.R' [7s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [18:24:37.798] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:24:37.993] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:24:38.061] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:24:38.109] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:24:38.159] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:24:38.222] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:24:38.280] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:24:38.336] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:24:38.382] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:24:38.428] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:24:38.470] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:24:38.517] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:24:38.565] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:24:38.600] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:24:38.645] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:24:38.685] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:24:38.738] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:24:38.779] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:24:38.819] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:24:38.862] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [7s/10s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate") # for more expect_*() functions
+ library("mlr3benchmark")
+ test_check("mlr3benchmark")
+ }
Saving _problems/test_BenchmarkAggr-99.R
INFO [18:13:44.470] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:13:44.901] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:13:45.020] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:13:45.086] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:13:45.154] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:13:45.261] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:13:45.347] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:13:45.424] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:13:45.466] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:13:45.512] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:13:45.568] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:13:45.664] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:13:45.733] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:13:45.785] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:13:45.840] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:13:45.900] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:13:45.976] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:13:46.065] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:13:46.127] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:13:46.203] [mlr3] Finished benchmark
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_BenchmarkAggr.R:99:3'): mlr3 coercions ─────────────────────────
Error in `UseMethod("as_data_backend")`: no applicable method for 'as_data_backend' applied to an object of class "NULL"
Backtrace:
▆
1. └─mlr3::tsks(c("pima", "spam")) at test_BenchmarkAggr.R:99:3
2. └─mlr3misc::dictionary_sugar_mget(dict = mlr_tasks, .keys, ...)
3. └─base::lapply(...)
4. └─mlr3misc (local) FUN(X[[i]], ...)
5. └─mlr3misc:::dictionary_get(dict, .key, .dicts_suggest = .dicts_suggest)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor, cargs)
8. └─mlr3 (local) `<fn>`()
9. └─mlr3::as_data_backend(load_dataset("PimaIndiansDiabetes2", "mlbench"))
[ FAIL 1 | WARN 2 | SKIP 0 | PASS 50 ]
Error:
! Test failures.
Execution halted
Flavor: r-patched-linux-x86_64
Version: 0.1.7
Check: tests
Result: ERROR
Running ‘testthat.R’ [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 [18:18:23.218] [mlr3] Running benchmark with 18 resampling iterations
INFO [18:18:24.024] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:18:24.133] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:18:24.191] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:18:24.265] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:18:24.331] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:18:24.376] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:18:24.420] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [18:18:24.475] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [18:18:24.523] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [18:18:24.571] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:18:24.635] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:18:24.730] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:18:24.797] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:18:24.854] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:18:24.926] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:18:25.040] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [18:18:25.124] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [18:18:25.199] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [18:18:25.345] [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 [06:28:17.590] [mlr3] Running benchmark with 18 resampling iterations
INFO [06:28:17.853] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [06:28:17.965] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [06:28:18.027] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [06:28:18.090] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [06:28:18.171] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [06:28:18.232] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [06:28:18.303] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 1/3)
INFO [06:28:18.371] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 2/3)
INFO [06:28:18.443] [mlr3] Applying learner 'rpart2' on task 'iris' (iter 3/3)
INFO [06:28:18.510] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [06:28:18.587] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [06:28:18.643] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [06:28:18.685] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [06:28:18.745] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [06:28:18.825] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [06:28:18.906] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 1/3)
INFO [06:28:18.986] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 2/3)
INFO [06:28:19.076] [mlr3] Applying learner 'rpart2' on task 'sonar' (iter 3/3)
INFO [06:28:19.163] [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