Last updated on 2025-12-04 09:50:33 CET.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| mcboost | 13 | ||
| mlr3benchmark | 2 | 11 | |
| mlr3fda | 13 | ||
| mlr3inferr | 13 | ||
| mlr3oml | 13 | ||
| mlr3torch | 1 | 12 |
Current CRAN status: OK: 13
Current CRAN status: ERROR: 2, OK: 11
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 [20:00:50.334] [mlr3] Running benchmark with 36 resampling iterations
INFO [20:00:50.462] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [20:00:50.645] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [20:00:50.748] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [20:00:50.937] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [20:00:51.139] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [20:00:51.310] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [20:00:51.372] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [20:00:51.837] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [20:00:51.978] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [20:00:52.385] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [20:00:52.587] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [20:00:52.814] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [20:00:52.944] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [20:00:53.374] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [20:00:53.554] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [20:00:53.827] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [20:00:54.289] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [20:00:54.759] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [20:00:55.176] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [20:00:55.321] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [20:00:55.545] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [20:00:55.590] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [20:00:55.913] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [20:00:55.973] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [20:00:56.034] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [20:00:56.298] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [20:00:56.474] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [20:00:56.754] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [20:00:56.981] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [20:00:57.136] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [20:00:57.180] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [20:00:57.309] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [20:00:57.368] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [20:00:57.429] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [20:00:57.761] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [20:00:58.251] [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 [20:00:58.595] [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 [18:45:18.269] [mlr3] Running benchmark with 36 resampling iterations
INFO [18:45:18.355] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [18:45:18.499] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [18:45:18.690] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [18:45:18.896] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [18:45:19.047] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [18:45:19.192] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [18:45:19.254] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [18:45:19.560] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [18:45:19.811] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [18:45:20.063] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [18:45:20.226] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [18:45:20.401] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [18:45:20.602] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [18:45:21.000] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [18:45:21.279] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [18:45:21.486] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [18:45:21.961] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [18:45:22.363] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [18:45:22.846] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [18:45:23.063] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [18:45:23.274] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [18:45:23.462] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [18:45:23.654] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [18:45:23.857] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [18:45:24.047] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [18:45:24.365] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [18:45:24.680] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [18:45:24.985] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [18:45:25.190] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [18:45:25.375] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [18:45:25.501] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [18:45:25.676] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [18:45:25.850] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [18:45:26.003] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [18:45:26.446] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [18:45:26.867] [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 [18:45:27.373] [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
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: NOTE: 1, OK: 12
Version: 0.3.2
Check: whether startup messages can be suppressed
Result: NOTE
Torch libraries are installed but loading them was unsuccessful.
It looks like this package (or a package it requires) has a startup
message which cannot be suppressed: see ?packageStartupMessage.
Flavor: r-release-windows-x86_64
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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