Last updated on 2025-12-07 07:50:37 CET.
| Package | ERROR | WARN | NOTE | OK |
|---|---|---|---|---|
| bbotk | 13 | |||
| farff | 13 | |||
| mlr3 | 1 | 12 | ||
| mlr3batchmark | 13 | |||
| mlr3data | 13 | |||
| mlr3db | 3 | 10 | ||
| mlr3filters | 13 | |||
| mlr3fselect | 13 | |||
| mlr3hyperband | 13 | |||
| mlr3learners | 13 | |||
| mlr3mbo | 13 | |||
| mlr3measures | 13 | |||
| mlr3misc | 13 | |||
| mlr3spatial | 1 | 12 | ||
| mlr3tuning | 5 | 8 | ||
| mlr3tuningspaces | 13 | |||
| mlr3verse | 3 | 10 | ||
| mlr3viz | 3 | 10 | ||
| rush | 13 |
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: NOTE: 1, OK: 12
Version: 1.3.0
Check: installed package size
Result: NOTE
installed size is 5.0Mb
sub-directories of 1Mb or more:
R 2.0Mb
help 2.2Mb
Flavor: r-oldrel-macos-x86_64
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: NOTE: 3, OK: 10
Version: 0.7.0
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘polars’
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.7.0
Check: Rd cross-references
Result: NOTE
Package unavailable to check Rd xrefs: ‘polars’
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, 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
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: WARN: 1, OK: 12
Version: 0.6.1
Check: package dependencies
Result: WARN
Cannot process vignettes
Packages suggested but not available for checking: 'knitr', 'rmarkdown'
VignetteBuilder package required for checking but not installed: ‘knitr’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.6.1
Check: package vignettes
Result: NOTE
Package has ‘vignettes’ subdirectory but apparently no vignettes.
Perhaps the ‘VignetteBuilder’ information is missing from the
DESCRIPTION file?
Flavor: r-devel-linux-x86_64-debian-gcc
Current CRAN status: ERROR: 5, OK: 8
Version: 1.5.0
Check: package dependencies
Result: WARN
Cannot process vignettes
Packages suggested but not available for checking:
'knitr', 'mlflow', 'rmarkdown'
VignetteBuilder package required for checking but not installed: ‘knitr’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.5.0
Check: examples
Result: ERROR
Running examples in ‘mlr3tuning-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_tuners_internal
> ### Title: Hyperparameter Tuning with Internal Tuning
> ### Aliases: mlr_tuners_internal TunerBatchInternal
>
> ### ** Examples
>
> ## Don't show:
> if (mlr3misc::require_namespaces(c("mlr3learners", "xgboost"), quietly = TRUE)) withAutoprint({ # examplesIf
+ ## End(Don't show)
+ library(mlr3learners)
+
+ # Retrieve task
+ task = tsk("pima")
+
+ # Load learner and set search space
+ learner = lrn("classif.xgboost",
+ nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10,
+ validate = "test",
+ eval_metric = "merror"
+ )
+
+ # Internal hyperparameter tuning on the pima indians diabetes data set
+ instance = tune(
+ tnr("internal"),
+ tsk("iris"),
+ learner,
+ rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror")
+ )
+
+ # best performing hyperparameter configuration
+ instance$result_learner_param_vals
+
+ instance$result_learner_param_vals$internal_tuned_values
+ ## Don't show:
+ }) # examplesIf
> library(mlr3learners)
> task = tsk("pima")
> learner = lrn("classif.xgboost", nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10, validate = "test", eval_metric = "merror")
> instance = tune(tnr("internal"), tsk("iris"), learner, rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror"))
INFO [15:05:09.157] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorNone>'
INFO [15:05:09.159] [bbotk] Evaluating 1 configuration(s)
INFO [15:05:09.166] [mlr3] Running benchmark with 3 resampling iterations
INFO [15:05:09.182] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [15:05:09.226] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [15:05:09.322] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: Caught simpleError. Canceling all iterations ...
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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.
Error in names(x) <- nm : attempt to set an attribute on NULL
Calls: withAutoprint ... tryCatchList -> tryCatchOne -> <Anonymous> -> onError
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
mlr3tuning.one_se_rule 4.292 0.129 5.412
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.5.0
Check: package vignettes
Result: NOTE
Package has ‘vignettes’ subdirectory but apparently no vignettes.
Perhaps the ‘VignetteBuilder’ information is missing from the
DESCRIPTION file?
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.5.0
Check: examples
Result: ERROR
Running examples in ‘mlr3tuning-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_tuners_internal
> ### Title: Hyperparameter Tuning with Internal Tuning
> ### Aliases: mlr_tuners_internal TunerBatchInternal
>
> ### ** Examples
>
> ## Don't show:
> if (mlr3misc::require_namespaces(c("mlr3learners", "xgboost"), quietly = TRUE)) withAutoprint({ # examplesIf
+ ## End(Don't show)
+ library(mlr3learners)
+
+ # Retrieve task
+ task = tsk("pima")
+
+ # Load learner and set search space
+ learner = lrn("classif.xgboost",
+ nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10,
+ validate = "test",
+ eval_metric = "merror"
+ )
+
+ # Internal hyperparameter tuning on the pima indians diabetes data set
+ instance = tune(
+ tnr("internal"),
+ tsk("iris"),
+ learner,
+ rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror")
+ )
+
+ # best performing hyperparameter configuration
+ instance$result_learner_param_vals
+
+ instance$result_learner_param_vals$internal_tuned_values
+ ## Don't show:
+ }) # examplesIf
> library(mlr3learners)
> task = tsk("pima")
> learner = lrn("classif.xgboost", nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10, validate = "test", eval_metric = "merror")
> instance = tune(tnr("internal"), tsk("iris"), learner, rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror"))
INFO [10:00:02.883] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorNone>'
INFO [10:00:02.900] [bbotk] Evaluating 1 configuration(s)
INFO [10:00:02.963] [mlr3] Running benchmark with 3 resampling iterations
INFO [10:00:03.065] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [10:00:03.212] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [10:00:03.316] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: Caught simpleError. Canceling all iterations ...
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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.
Error in names(x) <- nm : attempt to set an attribute on NULL
Calls: withAutoprint ... tryCatchList -> tryCatchOne -> <Anonymous> -> onError
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.5.0
Check: examples
Result: ERROR
Running examples in ‘mlr3tuning-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_tuners_internal
> ### Title: Hyperparameter Tuning with Internal Tuning
> ### Aliases: mlr_tuners_internal TunerBatchInternal
>
> ### ** Examples
>
> ## Don't show:
> if (mlr3misc::require_namespaces(c("mlr3learners", "xgboost"), quietly = TRUE)) withAutoprint({ # examplesIf
+ ## End(Don't show)
+ library(mlr3learners)
+
+ # Retrieve task
+ task = tsk("pima")
+
+ # Load learner and set search space
+ learner = lrn("classif.xgboost",
+ nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10,
+ validate = "test",
+ eval_metric = "merror"
+ )
+
+ # Internal hyperparameter tuning on the pima indians diabetes data set
+ instance = tune(
+ tnr("internal"),
+ tsk("iris"),
+ learner,
+ rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror")
+ )
+
+ # best performing hyperparameter configuration
+ instance$result_learner_param_vals
+
+ instance$result_learner_param_vals$internal_tuned_values
+ ## Don't show:
+ }) # examplesIf
> library(mlr3learners)
> task = tsk("pima")
> learner = lrn("classif.xgboost", nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10, validate = "test", eval_metric = "merror")
> instance = tune(tnr("internal"), tsk("iris"), learner, rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror"))
INFO [10:08:59.361] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorNone>'
INFO [10:08:59.369] [bbotk] Evaluating 1 configuration(s)
INFO [10:08:59.409] [mlr3] Running benchmark with 3 resampling iterations
INFO [10:08:59.504] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [10:08:59.645] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [10:08:59.774] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: Caught simpleError. Canceling all iterations ...
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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.
Error in names(x) <- nm : attempt to set an attribute on NULL
Calls: withAutoprint ... tryCatchList -> tryCatchOne -> <Anonymous> -> onError
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.5.0
Check: examples
Result: ERROR
Running examples in ‘mlr3tuning-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_tuners_internal
> ### Title: Hyperparameter Tuning with Internal Tuning
> ### Aliases: mlr_tuners_internal TunerBatchInternal
>
> ### ** Examples
>
> ## Don't show:
> if (mlr3misc::require_namespaces(c("mlr3learners", "xgboost"), quietly = TRUE)) withAutoprint({ # examplesIf
+ ## End(Don't show)
+ library(mlr3learners)
+
+ # Retrieve task
+ task = tsk("pima")
+
+ # Load learner and set search space
+ learner = lrn("classif.xgboost",
+ nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10,
+ validate = "test",
+ eval_metric = "merror"
+ )
+
+ # Internal hyperparameter tuning on the pima indians diabetes data set
+ instance = tune(
+ tnr("internal"),
+ tsk("iris"),
+ learner,
+ rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror")
+ )
+
+ # best performing hyperparameter configuration
+ instance$result_learner_param_vals
+
+ instance$result_learner_param_vals$internal_tuned_values
+ ## Don't show:
+ }) # examplesIf
> library(mlr3learners)
> task = tsk("pima")
> learner = lrn("classif.xgboost", nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10, validate = "test", eval_metric = "merror")
> instance = tune(tnr("internal"), tsk("iris"), learner, rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror"))
INFO [15:56:01.859] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorNone>'
INFO [15:56:01.867] [bbotk] Evaluating 1 configuration(s)
INFO [15:56:01.892] [mlr3] Running benchmark with 3 resampling iterations
INFO [15:56:01.950] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [15:56:02.111] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [15:56:02.237] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: Caught simpleError. Canceling all iterations ...
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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.
Error in names(x) <- nm : attempt to set an attribute on NULL
Calls: withAutoprint ... tryCatchList -> tryCatchOne -> <Anonymous> -> onError
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
AutoTuner 6.572 0.223 10.978
mlr3tuning.one_se_rule 6.233 0.057 8.462
Flavor: r-release-linux-x86_64
Version: 1.5.0
Check: examples
Result: ERROR
Running examples in 'mlr3tuning-Ex.R' failed
The error most likely occurred in:
> ### Name: mlr_tuners_internal
> ### Title: Hyperparameter Tuning with Internal Tuning
> ### Aliases: mlr_tuners_internal TunerBatchInternal
>
> ### ** Examples
>
> ## Don't show:
> if (mlr3misc::require_namespaces(c("mlr3learners", "xgboost"), quietly = TRUE)) withAutoprint({ # examplesIf
+ ## End(Don't show)
+ library(mlr3learners)
+
+ # Retrieve task
+ task = tsk("pima")
+
+ # Load learner and set search space
+ learner = lrn("classif.xgboost",
+ nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10,
+ validate = "test",
+ eval_metric = "merror"
+ )
+
+ # Internal hyperparameter tuning on the pima indians diabetes data set
+ instance = tune(
+ tnr("internal"),
+ tsk("iris"),
+ learner,
+ rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror")
+ )
+
+ # best performing hyperparameter configuration
+ instance$result_learner_param_vals
+
+ instance$result_learner_param_vals$internal_tuned_values
+ ## Don't show:
+ }) # examplesIf
> library(mlr3learners)
> task = tsk("pima")
> learner = lrn("classif.xgboost", nrounds = to_tune(upper = 1000, internal = TRUE),
+ early_stopping_rounds = 10, validate = "test", eval_metric = "merror")
> instance = tune(tnr("internal"), tsk("iris"), learner, rsmp("cv", folds = 3),
+ msr("internal_valid_score", minimize = TRUE, select = "merror"))
INFO [09:07:27.384] [bbotk] Starting to optimize 0 parameter(s) with '<TunerBatchInternal>' and '<TerminatorNone>'
INFO [09:07:27.388] [bbotk] Evaluating 1 configuration(s)
INFO [09:07:27.411] [mlr3] Running benchmark with 3 resampling iterations
INFO [09:07:27.459] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 1/3)
INFO [09:07:27.557] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 2/3)
INFO [09:07:27.626] [mlr3] Applying learner 'classif.xgboost' on task 'iris' (iter 3/3)
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: Caught simpleError. Canceling all iterations ...
Warning in check.deprecation(deprecated_train_params, match.call(), ...) :
Passed invalid function arguments: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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: eval_metric, nthread, num_class. 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 throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", :
Parameter 'watchlist' has been renamed to 'evals'. This warning 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.
Error in names(x) <- nm : attempt to set an attribute on NULL
Calls: withAutoprint ... tryCatchList -> tryCatchOne -> <Anonymous> -> onError
Execution halted
Flavor: r-oldrel-windows-x86_64
Current CRAN status: OK: 13
Current CRAN status: NOTE: 3, OK: 10
Version: 0.3.1
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘mlr3proba’
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Current CRAN status: NOTE: 3, OK: 10
Version: 0.10.1
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘mlr3proba’
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Current CRAN status: OK: 13