Last updated on 2025-12-05 19:49:49 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.7 | 6.12 | 88.04 | 94.16 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.7 | 4.51 | 51.91 | 56.42 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 0.1.7 | 30.00 | 109.01 | 139.01 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.7 | 22.00 | 107.57 | 129.57 | ERROR | |
| r-devel-windows-x86_64 | 0.1.7 | 8.00 | 83.00 | 91.00 | OK | |
| r-patched-linux-x86_64 | 0.1.7 | 6.22 | 72.62 | 78.84 | OK | |
| r-release-linux-x86_64 | 0.1.7 | 6.11 | 76.04 | 82.15 | OK | |
| r-release-macos-arm64 | 0.1.7 | OK | ||||
| r-release-macos-x86_64 | 0.1.7 | 5.00 | 58.00 | 63.00 | OK | |
| r-release-windows-x86_64 | 0.1.7 | 8.00 | 83.00 | 91.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.7 | OK | ||||
| r-oldrel-macos-x86_64 | 0.1.7 | 5.00 | 70.00 | 75.00 | OK | |
| r-oldrel-windows-x86_64 | 0.1.7 | 11.00 | 107.00 | 118.00 | OK |
Version: 0.1.7
Check: HTML version of manual
Result: NOTE
Skipping checking math rendering: package 'V8' unavailable
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: autoplot.BenchmarkAggr
> ### Title: Plots for BenchmarkAggr
> ### Aliases: autoplot.BenchmarkAggr
>
> ### ** Examples
>
> if (requireNamespaces(c("mlr3learners", "mlr3", "rpart", "xgboost"))) {
+ library(mlr3)
+ library(mlr3learners)
+ library(ggplot2)
+
+ set.seed(1)
+ task = tsks(c("iris", "sonar", "wine", "zoo"))
+ learns = lrns(c("classif.featureless", "classif.rpart", "classif.xgboost"))
+ learns$classif.xgboost$param_set$values$nrounds = 50
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 3)))
+ obj = as_benchmark_aggr(bm)
+
+ # mean and error bars
+ autoplot(obj, type = "mean", level = 0.95)
+
+ if (requireNamespace("PMCMRplus", quietly = TRUE)) {
+ # critical differences
+ autoplot(obj, type = "cd",style = 1)
+ autoplot(obj, type = "cd",style = 2)
+
+ # post-hoc friedman-nemenyi
+ autoplot(obj, type = "fn")
+ }
+
+ }
INFO [09:56:14.113] [mlr3] Running benchmark with 36 resampling iterations
INFO [09:56:14.167] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [09:56:14.271] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [09:56:14.379] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [09:56:14.554] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [09:56:14.798] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [09:56:14.990] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [09:56:15.205] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [09:56:15.373] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [09:56:15.563] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [09:56:15.848] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [09:56:16.033] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [09:56:16.087] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [09:56:16.142] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [09:56:16.251] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [09:56:16.738] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [09:56:17.014] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [09:56:17.504] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [09:56:18.322] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [09:56:18.507] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [09:56:18.617] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [09:56:18.699] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [09:56:18.775] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [09:56:18.906] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [09:56:19.058] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [09:56:19.206] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [09:56:19.361] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [09:56:19.745] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [09:56:19.985] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [09:56:20.063] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [09:56:20.198] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [09:56:20.243] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [09:56:20.502] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [09:56:20.584] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [09:56:20.716] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [09:56:20.886] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [09:56:21.060] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
INFO [09:56:21.350] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.1.7
Check: examples
Result: ERROR
Running examples in ‘mlr3benchmark-Ex.R’ failed
The error most likely occurred in:
> ### Name: autoplot.BenchmarkAggr
> ### Title: Plots for BenchmarkAggr
> ### Aliases: autoplot.BenchmarkAggr
>
> ### ** Examples
>
> if (requireNamespaces(c("mlr3learners", "mlr3", "rpart", "xgboost"))) {
+ library(mlr3)
+ library(mlr3learners)
+ library(ggplot2)
+
+ set.seed(1)
+ task = tsks(c("iris", "sonar", "wine", "zoo"))
+ learns = lrns(c("classif.featureless", "classif.rpart", "classif.xgboost"))
+ learns$classif.xgboost$param_set$values$nrounds = 50
+ bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 3)))
+ obj = as_benchmark_aggr(bm)
+
+ # mean and error bars
+ autoplot(obj, type = "mean", level = 0.95)
+
+ if (requireNamespace("PMCMRplus", quietly = TRUE)) {
+ # critical differences
+ autoplot(obj, type = "cd",style = 1)
+ autoplot(obj, type = "cd",style = 2)
+
+ # post-hoc friedman-nemenyi
+ autoplot(obj, type = "fn")
+ }
+
+ }
INFO [10:07:26.930] [mlr3] Running benchmark with 36 resampling iterations
INFO [10:07:26.970] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [10:07:27.042] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [10:07:27.113] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [10:07:27.184] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [10:07:27.243] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [10:07:27.314] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [10:07:27.441] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [10:07:27.674] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [10:07:27.820] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [10:07:27.927] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [10:07:27.999] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [10:07:28.053] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [10:07:28.127] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [10:07:28.309] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [10:07:28.547] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [10:07:28.815] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [10:07:29.332] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [10:07:29.845] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [10:07:30.397] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [10:07:30.588] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [10:07:30.736] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [10:07:30.924] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [10:07:31.060] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [10:07:31.160] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [10:07:31.284] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [10:07:31.609] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [10:07:31.889] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [10:07:32.230] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [10:07:32.406] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [10:07:32.542] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [10:07:32.721] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [10:07:32.900] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [10:07:33.075] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [10:07:33.233] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [10:07:33.634] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [10:07:33.925] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: nthread, num_class, eval_metric. These should be passed as a list to argument 'params'. Conversion from argument to 'params' entry will be done automatically, but this behavior will become an error in a future version.
Warning in check.custom.obj(params, objective) :
Argument 'objective' is only for custom objectives. For built-in objectives, pass the objective under 'params'. This warning will become an error in a future version.
INFO [10:07:34.383] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc