Last updated on 2025-12-09 23:52:05 CET.
| Package | ERROR | OK |
|---|---|---|
| mcboost | 13 | |
| mlr3benchmark | 7 | 6 |
| mlr3fda | 13 | |
| mlr3inferr | 13 | |
| mlr3oml | 13 | |
| mlr3torch | 13 |
Current CRAN status: OK: 13
Current CRAN status: ERROR: 7, OK: 6
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: 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 [04:30:32.783] [mlr3] Running benchmark with 36 resampling iterations
INFO [04:30:32.845] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [04:30:32.905] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [04:30:32.936] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [04:30:33.033] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [04:30:33.072] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [04:30:33.111] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [04:30:33.149] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [04:30:33.215] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [04:30:33.268] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [04:30:33.326] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [04:30:33.360] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [04:30:33.393] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [04:30:33.426] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [04:30:33.493] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [04:30:33.546] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [04:30:33.606] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [04:30:33.716] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [04:30:33.833] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [04:30:33.928] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [04:30:33.957] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [04:30:33.985] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [04:30:34.018] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [04:30:34.056] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [04:30:34.093] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [04:30:34.131] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [04:30:34.189] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [04:30:34.246] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [04:30:34.302] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [04:30:34.340] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [04:30:34.404] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [04:30:34.435] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [04:30:34.474] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [04:30:34.514] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [04:30:34.553] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [04:30:34.627] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [04:30:34.692] [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 [04:30:34.778] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
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: 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 [17:09:48.668] [mlr3] Running benchmark with 36 resampling iterations
INFO [17:09:48.689] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:09:48.816] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:09:48.897] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:09:48.956] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:09:48.988] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:09:49.052] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:09:49.117] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [17:09:49.239] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [17:09:49.293] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [17:09:49.340] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:09:49.367] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:09:49.442] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:09:49.516] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:09:49.588] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:09:49.630] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:09:49.674] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [17:09:49.776] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [17:09:49.880] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [17:09:49.987] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [17:09:50.030] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [17:09:50.087] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [17:09:50.122] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [17:09:50.153] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [17:09:50.183] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [17:09:50.212] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [17:09:50.275] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [17:09:50.334] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [17:09:50.420] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [17:09:50.459] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [17:09:50.520] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [17:09:50.578] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [17:09:50.674] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [17:09:50.737] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [17:09:50.771] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [17:09:50.875] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [17:09:50.963] [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 [17:09:51.060] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
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: 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
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 [17:36:26.611] [mlr3] Running benchmark with 36 resampling iterations
INFO [17:36:26.639] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [17:36:26.682] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [17:36:26.722] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [17:36:26.759] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [17:36:26.803] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [17:36:26.846] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [17:36:26.887] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [17:36:26.984] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [17:36:27.066] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [17:36:27.142] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [17:36:27.174] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [17:36:27.210] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [17:36:27.248] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [17:36:27.316] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [17:36:27.364] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [17:36:27.413] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [17:36:27.518] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [17:36:27.598] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [17:36:27.690] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [17:36:27.732] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [17:36:27.765] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [17:36:27.797] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [17:36:27.828] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [17:36:27.861] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [17:36:27.899] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [17:36:27.982] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [17:36:28.070] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [17:36:28.121] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [17:36:28.147] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [17:36:28.178] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [17:36:28.212] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [17:36:28.252] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [17:36:28.310] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [17:36:28.358] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [17:36:28.462] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [17:36:28.554] [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 [17:36:28.673] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-devel-windows-x86_64
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: 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 [15:53:10.230] [mlr3] Running benchmark with 36 resampling iterations
INFO [15:53:10.263] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [15:53:10.322] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [15:53:10.410] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [15:53:10.486] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [15:53:10.552] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [15:53:10.599] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [15:53:10.636] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [15:53:10.748] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [15:53:10.825] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [15:53:10.898] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [15:53:10.949] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [15:53:11.019] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [15:53:11.054] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [15:53:11.167] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [15:53:11.226] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [15:53:11.282] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [15:53:11.479] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [15:53:11.639] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [15:53:11.770] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [15:53:11.836] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [15:53:11.895] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [15:53:11.956] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [15:53:12.019] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [15:53:12.056] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [15:53:12.127] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [15:53:12.251] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [15:53:12.374] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [15:53:12.486] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [15:53:12.546] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [15:53:12.595] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [15:53:12.657] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [15:53:12.715] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [15:53:12.753] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [15:53:12.819] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [15:53:12.970] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [15:53:13.121] [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 [15:53:13.258] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-release-linux-x86_64
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 [16:43:10.373] [mlr3] Running benchmark with 36 resampling iterations
INFO [16:43:10.416] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 1/3)
INFO [16:43:10.466] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 2/3)
INFO [16:43:10.514] [mlr3] Applying learner 'classif.featureless' on task 'iris' (iter 3/3)
INFO [16:43:10.564] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 1/3)
INFO [16:43:10.617] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 2/3)
INFO [16:43:10.674] [mlr3] Applying learner 'classif.rpart' on task 'iris' (iter 3/3)
INFO [16:43:10.731] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [16:43:10.878] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [16:43:10.993] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
INFO [16:43:11.100] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 1/3)
INFO [16:43:11.149] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 2/3)
INFO [16:43:11.194] [mlr3] Applying learner 'classif.featureless' on task 'sonar' (iter 3/3)
INFO [16:43:11.241] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 1/3)
INFO [16:43:11.328] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 2/3)
INFO [16:43:11.418] [mlr3] Applying learner 'classif.rpart' on task 'sonar' (iter 3/3)
INFO [16:43:11.494] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 1/3)
INFO [16:43:11.644] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 2/3)
INFO [16:43:11.791] [mlr3] Applying learner 'classif.xgboost' on task 'sonar' (iter 3/3)
INFO [16:43:11.892] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 1/3)
INFO [16:43:11.919] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 2/3)
INFO [16:43:11.946] [mlr3] Applying learner 'classif.featureless' on task 'wine' (iter 3/3)
INFO [16:43:11.976] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 1/3)
INFO [16:43:12.010] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 2/3)
INFO [16:43:12.044] [mlr3] Applying learner 'classif.rpart' on task 'wine' (iter 3/3)
INFO [16:43:12.088] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 1/3)
INFO [16:43:12.202] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 2/3)
INFO [16:43:12.318] [mlr3] Applying learner 'classif.xgboost' on task 'wine' (iter 3/3)
INFO [16:43:12.412] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 1/3)
INFO [16:43:12.442] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 2/3)
INFO [16:43:12.486] [mlr3] Applying learner 'classif.featureless' on task 'zoo' (iter 3/3)
INFO [16:43:12.529] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 1/3)
INFO [16:43:12.587] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 2/3)
INFO [16:43:12.645] [mlr3] Applying learner 'classif.rpart' on task 'zoo' (iter 3/3)
INFO [16:43:12.688] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 1/3)
INFO [16:43:12.875] [mlr3] Applying learner 'classif.xgboost' on task 'zoo' (iter 2/3)
INFO [16:43:13.064] [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 [16:43:13.236] [mlr3] Finished benchmark
Error: Global Friedman test non-significant (p > 0.05), try type = 'mean' instead.
Execution halted
Flavor: r-oldrel-windows-x86_64
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13