Last updated on 2024-07-01 03:49:08 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 0.20.0 | 9.38 | 657.58 | 666.96 | OK | |
r-devel-linux-x86_64-debian-gcc | 1.0.0 | 10.89 | 428.85 | 439.74 | OK | |
r-devel-linux-x86_64-fedora-clang | 1.0.0 | 768.56 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 0.20.0 | 222.22 | ERROR | |||
r-devel-windows-x86_64 | 0.20.0 | 11.00 | 292.00 | 303.00 | OK | |
r-patched-linux-x86_64 | 0.20.0 | 13.64 | 647.60 | 661.24 | OK | |
r-release-linux-x86_64 | 1.0.0 | 16.64 | 574.84 | 591.48 | OK | |
r-release-macos-arm64 | 1.0.0 | 207.00 | OK | |||
r-release-macos-x86_64 | 1.0.0 | 638.00 | OK | |||
r-release-windows-x86_64 | 1.0.0 | 15.00 | 425.00 | 440.00 | OK | |
r-oldrel-macos-arm64 | 1.0.0 | 10.00 | ERROR | |||
r-oldrel-macos-x86_64 | 1.0.0 | 14.00 | ERROR | |||
r-oldrel-windows-x86_64 | 1.0.0 | 12.00 | 416.00 | 428.00 | OK |
Version: 0.20.0
Check: R code for possible problems
Result: NOTE
.__TunerCmaes__initialize: no visible binding for global variable
‘OptimizerCmaes’
.__TunerDesignPoints__initialize: no visible binding for global
variable ‘OptimizerDesignPoints’
.__TunerGenSA__initialize: no visible binding for global variable
‘OptimizerGenSA’
.__TunerIrace__initialize: no visible binding for global variable
‘OptimizerIrace’
.__TunerNLoptr__initialize: no visible binding for global variable
‘OptimizerNLoptr’
.__TunerRandomSearch__initialize: no visible binding for global
variable ‘OptimizerRandomSearch’
.__Tuner__optimize: no visible binding for global variable
‘ContextOptimization’
.__Tuner__optimize: no visible global function definition for
‘optimize_default’
Undefined global functions or variables:
ContextOptimization OptimizerCmaes OptimizerDesignPoints
OptimizerGenSA OptimizerIrace OptimizerNLoptr OptimizerRandomSearch
optimize_default
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.20.0
Check: Rd cross-references
Result: WARN
Missing link or links in Rd file 'CallbackTuning.Rd':
‘[bbotk:CallbackOptimization]{bbotk::CallbackOptimization}’
Missing link or links in Rd file 'ContextEval.Rd':
‘[bbotk:ContextOptimization]{bbotk::ContextOptimization}’
Missing link or links in Rd file 'callback_tuning.Rd':
‘[bbotk:ContextOptimization]{bbotk::ContextOptimization}’
‘ContextOptimization’
See section 'Cross-references' in the 'Writing R Extensions' manual.
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.20.0
Check: examples
Result: ERROR
Running examples in ‘mlr3tuning-Ex.R’ failed
The error most likely occurred in:
> ### Name: AutoTuner
> ### Title: Class for Automatic Tuning
> ### Aliases: AutoTuner
>
> ### ** Examples
>
> # Automatic Tuning
>
> # split to train and external set
> task = tsk("penguins")
> split = partition(task, ratio = 0.8)
>
> # load learner and set search space
> learner = lrn("classif.rpart",
+ cp = to_tune(1e-04, 1e-1, logscale = TRUE)
+ )
>
> # create auto tuner
> at = auto_tuner(
+ tuner = tnr("random_search"),
+ learner = learner,
+ resampling = rsmp ("holdout"),
+ measure = msr("classif.ce"),
+ term_evals = 4)
Error in .__TunerRandomSearch__initialize(self = self, private = private, :
object 'OptimizerRandomSearch' not found
Calls: auto_tuner ... .__TunerFromOptimizer__initialize -> assert_optimizer -> assert_r6 -> checkR6
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.20.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [96s/65s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate")
+ library("mlr3tuning")
+ test_check("mlr3tuning")
+ }
Loading required package: mlr3
Loading required package: paradox
Starting 2 test processes
[ FAIL 95 | WARN 0 | SKIP 1 | PASS 149 ]
══ Skipped tests (1) ═══════════════════════════════════════════════════════════
• On CRAN (1): 'test_mlr_callbacks.R:2:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_ArchiveTuning.R:6:3'): ArchiveTuning access methods work ───────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search", batch_size = 2) at test_ArchiveTuning.R:6:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
10. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Error ('test_ArchiveTuning.R:117:3'): ArchiveTuning as.data.table function works ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search", batch_size = 2) at test_ArchiveTuning.R:117:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
10. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Error ('test_ObjectiveTuning.R:105:3'): tuner can modify resampling ─────────
Error in ``$.R6`(self$archive, "add_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'add_evals'!
Backtrace:
▆
1. └─instance$eval_batch(data.table(cp = 0.001)) at test_ObjectiveTuning.R:105:3
2. └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. ├─self$archive$add_evals
4. └─global `$.R6`(self$archive, "add_evals")
── Error ('test_AutoTuner.R:9:3'): AutoTuner / train+predict ───────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─at$train(task) at test_AutoTuner.R:9:3
2. └─mlr3:::.__Learner__train(...)
3. └─mlr3:::learner_train(...)
4. └─mlr3misc::encapsulate(...)
5. ├─mlr3misc::invoke(...)
6. │ └─base::eval.parent(expr, n = 1L)
7. │ └─base::eval(expr, p)
8. │ └─base::eval(expr, p)
9. └─mlr3 (local) .f(learner = `<AutoTunr>`, task = `<TskClssf>`)
10. └─get_private(learner)$.train(task)
11. └─mlr3tuning:::.__AutoTuner__.train(...)
12. └─self$tuner$optimize(instance)
13. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_AutoTuner.R:41:3'): AutoTuner / resample ───────────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3::resample(tsk("iris"), at, r_outer, store_models = TRUE) at test_AutoTuner.R:41:3
2. └─mlr3:::future_map(...)
3. └─future.apply::future_mapply(...)
4. └─future.apply:::future_xapply(...)
5. ├─future::value(fs)
6. └─future:::value.list(fs)
7. ├─future::resolve(...)
8. └─future:::resolve.list(...)
9. └─future (local) signalConditionsASAP(obj, resignal = FALSE, pos = ii)
10. └─future:::signalConditions(...)
── Error ('test_AutoTuner.R:66:3'): nested resamppling results are consistent ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─AutoTuner$new(...) at test_AutoTuner.R:66:3
2. │ └─mlr3tuning (local) initialize(...)
3. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
4. │ └─mlr3tuning:::assert_tuner(tuner)
5. │ └─checkmate::assert_r6(tuner, "Tuner")
6. │ └─checkmate::checkR6(...)
7. └─mlr3tuning::tnr("random_search")
8. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─mlr3tuning (local) initialize(...)
14. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
15. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
16. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
17. └─bbotk::assert_optimizer(optimizer)
18. └─checkmate::assert_r6(optimizer, "Optimizer")
19. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:90:3'): AT training does not change learner in instance args ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─AutoTuner$new(...) at test_AutoTuner.R:90:3
2. │ └─mlr3tuning (local) initialize(...)
3. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
4. │ └─mlr3tuning:::assert_tuner(tuner)
5. │ └─checkmate::assert_r6(tuner, "Tuner")
6. │ └─checkmate::checkR6(...)
7. └─TunerRandomSearch$new()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
10. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Failure ('test_AutoTuner.R:116:3'): AutoTuner works with graphlearner ───────
exists("validate", lrn) is not TRUE
`actual`: FALSE
`expected`: TRUE
Backtrace:
▆
1. └─global expect_learner(at) at test_AutoTuner.R:116:3
2. └─testthat::expect_true(exists("validate", lrn))
── Failure ('test_AutoTuner.R:116:3'): AutoTuner works with graphlearner ───────
exists("internal_valid_scores", envir = lrn) is not TRUE
`actual`: FALSE
`expected`: TRUE
Backtrace:
▆
1. └─global expect_learner(at) at test_AutoTuner.R:116:3
2. └─testthat::expect_true(exists("internal_valid_scores", envir = lrn))
── Failure ('test_AutoTuner.R:116:3'): AutoTuner works with graphlearner ───────
Check on 'mlr3misc::get_private(lrn)$.extract_internal_valid_scores' failed: Must be a function, not 'NULL'
Backtrace:
▆
1. └─global expect_learner(at) at test_AutoTuner.R:116:3
2. └─checkmate::expect_function(mlr3misc::get_private(lrn)$.extract_internal_valid_scores)
3. └─checkmate::makeExpectation(x, res, info, label)
── Error ('test_AutoTuner.R:116:3'): AutoTuner works with graphlearner ─────────
Error: at least one parameter must support internal tuning when the learner is tagged as such
Backtrace:
▆
1. └─global expect_learner(at) at test_AutoTuner.R:116:3
2. └─mlr3misc::stopf("at least one parameter must support internal tuning when the learner is tagged as such")
── Error ('test_AutoTuner.R:155:3'): Nested resampling works with graphlearner ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3::resample(task, at, resampling_outer, store_models = TRUE) at test_AutoTuner.R:155:3
2. └─mlr3:::future_map(...)
3. └─future.apply::future_mapply(...)
4. └─future.apply:::future_xapply(...)
5. ├─future::value(fs)
6. └─future:::value.list(fs)
7. ├─future::resolve(...)
8. └─future:::resolve.list(...)
9. └─future (local) signalConditionsASAP(obj, resignal = FALSE, pos = ii)
10. └─future:::signalConditions(...)
── Error ('test_AutoTuner.R:184:3'): store_tuning_instance, store_benchmark_result and store_models flags work ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─at$train(task) at test_AutoTuner.R:184:3
2. └─mlr3:::.__Learner__train(...)
3. └─mlr3:::learner_train(...)
4. └─mlr3misc::encapsulate(...)
5. ├─mlr3misc::invoke(...)
6. │ └─base::eval.parent(expr, n = 1L)
7. │ └─base::eval(expr, p)
8. │ └─base::eval(expr, p)
9. └─mlr3 (local) .f(learner = `<AutoTunr>`, task = `<TskClssf>`)
10. └─get_private(learner)$.train(task)
11. └─mlr3tuning:::.__AutoTuner__.train(...)
12. └─self$tuner$optimize(instance)
13. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_AutoTuner.R:243:3'): predict_type works ────────────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─at$train(task) at test_AutoTuner.R:243:3
2. └─mlr3:::.__Learner__train(...)
3. └─mlr3:::learner_train(...)
4. └─mlr3misc::encapsulate(...)
5. ├─mlr3misc::invoke(...)
6. │ └─base::eval.parent(expr, n = 1L)
7. │ └─base::eval(expr, p)
8. │ └─base::eval(expr, p)
9. └─mlr3 (local) .f(learner = `<AutoTunr>`, task = `<TskClssf>`)
10. └─get_private(learner)$.train(task)
11. └─mlr3tuning:::.__AutoTuner__.train(...)
12. └─self$tuner$optimize(instance)
13. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_AutoTuner.R:256:3'): search space from TuneToken works ─────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─AutoTuner$new(...) at test_AutoTuner.R:256:3
2. │ └─mlr3tuning (local) initialize(...)
3. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
4. │ └─mlr3tuning:::assert_tuner(tuner)
5. │ └─checkmate::assert_r6(tuner, "Tuner")
6. │ └─checkmate::checkR6(...)
7. └─mlr3tuning::tnr("random_search")
8. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
9. └─mlr3misc:::dictionary_get(dict, .key)
10. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─mlr3tuning (local) initialize(...)
14. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
15. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
16. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
17. └─bbotk::assert_optimizer(optimizer)
18. └─checkmate::assert_r6(optimizer, "Optimizer")
19. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:280:3'): AutoTuner get_base_learner method works ───
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:280:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:349:3'): AutoTuner hash works #647 in mlr3 ─────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3::benchmark(grid, store_models = TRUE) at test_AutoTuner.R:349:3
2. └─mlr3:::future_map(...)
3. └─future.apply::future_mapply(...)
4. └─future.apply:::future_xapply(...)
5. ├─future::value(fs)
6. └─future:::value.list(fs)
7. ├─future::resolve(...)
8. └─future:::resolve.list(...)
9. └─future (local) signalConditionsASAP(obj, resignal = FALSE, pos = ii)
10. └─future:::signalConditions(...)
── Error ('test_AutoTuner.R:357:3'): AutoTuner works with empty search space ───
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:357:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search", batch_size = 5)
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
11. │ └─checkmate::checkR6(...)
12. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
13. ├─base::do.call(constructor$new, cargs)
14. └─R6 (local) `<fn>`()
15. └─mlr3tuning (local) initialize(...)
16. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
17. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
18. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
19. └─bbotk::assert_optimizer(optimizer)
20. └─checkmate::assert_r6(optimizer, "Optimizer")
21. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:387:3'): AutoTuner importance method works ─────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:387:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search", batch_size = 2)
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
11. │ └─checkmate::checkR6(...)
12. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
13. ├─base::do.call(constructor$new, cargs)
14. └─R6 (local) `<fn>`()
15. └─mlr3tuning (local) initialize(...)
16. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
17. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
18. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
19. └─bbotk::assert_optimizer(optimizer)
20. └─checkmate::assert_r6(optimizer, "Optimizer")
21. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:401:3'): AutoTuner selected_features method works ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:401:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search", batch_size = 2)
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
11. │ └─checkmate::checkR6(...)
12. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
13. ├─base::do.call(constructor$new, cargs)
14. └─R6 (local) `<fn>`()
15. └─mlr3tuning (local) initialize(...)
16. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
17. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
18. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
19. └─bbotk::assert_optimizer(optimizer)
20. └─checkmate::assert_r6(optimizer, "Optimizer")
21. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:415:3'): AutoTuner oob_error method works ──────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:415:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search", batch_size = 2)
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
11. │ └─checkmate::checkR6(...)
12. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
13. ├─base::do.call(constructor$new, cargs)
14. └─R6 (local) `<fn>`()
15. └─mlr3tuning (local) initialize(...)
16. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
17. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
18. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
19. └─bbotk::assert_optimizer(optimizer)
20. └─checkmate::assert_r6(optimizer, "Optimizer")
21. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:427:3'): AutoTuner loglik method works ─────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:427:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search", batch_size = 2)
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
11. │ └─checkmate::checkR6(...)
12. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
13. ├─base::do.call(constructor$new, cargs)
14. └─R6 (local) `<fn>`()
15. └─mlr3tuning (local) initialize(...)
16. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
17. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
18. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
19. └─bbotk::assert_optimizer(optimizer)
20. └─checkmate::assert_r6(optimizer, "Optimizer")
21. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:449:3'): AutoTuner works with instantiated resampling ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:449:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:470:3'): AutoTuner errors when train set is not a subset of task ids ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:470:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:497:3'): AutoTuner errors when second train set is not a subset of task ids ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:497:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:524:3'): AutoTuner errors when test set is not a subset of task ids ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:524:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_AutoTuner.R:551:3'): AutoTuner errors when second test set is not a subset of task ids ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_AutoTuner.R:551:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_TunerCmaes.R:3:1'): TunerCmaes ─────────────────────────────────
Error in `.__TunerCmaes__initialize(self = self, private = private, super = super)`: object 'OptimizerCmaes' not found
Backtrace:
▆
1. ├─global expect_tuner(tnr("cmaes")) at test_TunerCmaes.R:3:1
2. │ └─checkmate::expect_r6(...)
3. │ └─checkmate::checkR6(...)
4. └─mlr3tuning::tnr("cmaes")
5. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
6. └─mlr3misc:::dictionary_get(dict, .key)
7. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
8. ├─base::do.call(constructor$new, cargs)
9. └─R6 (local) `<fn>`()
10. └─mlr3tuning (local) initialize(...)
11. └─mlr3tuning:::.__TunerCmaes__initialize(...)
12. └─super$initialize(optimizer = OptimizerCmaes$new(), man = "mlr3tuning::mlr_tuners_cmaes")
13. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
14. └─bbotk::assert_optimizer(optimizer)
15. └─checkmate::assert_r6(optimizer, "Optimizer")
16. └─checkmate::checkR6(...)
── Error ('test_TunerDesignPoints.R:3:3'): TunerDesignPoints ───────────────────
Error in `.__TunerDesignPoints__initialize(self = self, private = private,
super = super)`: object 'OptimizerDesignPoints' not found
Backtrace:
▆
1. └─global test_tuner(...) at test_TunerDesignPoints.R:3:3
2. └─mlr3tuning::tnr(key, ...)
3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
4. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
5. │ └─checkmate::checkR6(...)
6. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
7. ├─base::do.call(constructor$new, cargs)
8. └─R6 (local) `<fn>`()
9. └─mlr3tuning (local) initialize(...)
10. └─mlr3tuning:::.__TunerDesignPoints__initialize(...)
11. └─super$initialize(optimizer = OptimizerDesignPoints$new(), man = "mlr3tuning::mlr_tuners_design_points")
12. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
13. └─bbotk::assert_optimizer(optimizer)
14. └─checkmate::assert_r6(optimizer, "Optimizer")
15. └─checkmate::checkR6(...)
── Error ('test_Tuner.R:3:5'): API ─────────────────────────────────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─TunerRandomSearch$new() at test_Tuner.R:3:5
2. └─mlr3tuning (local) initialize(...)
3. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
4. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
5. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
6. └─bbotk::assert_optimizer(optimizer)
7. └─checkmate::assert_r6(optimizer, "Optimizer")
8. └─checkmate::checkR6(...)
── Error ('test_Tuner.R:21:3'): proper error if tuner cannot handle deps ───────
Error in `.__TunerGenSA__initialize(self = self, private = private, super = super)`: object 'OptimizerGenSA' not found
Backtrace:
▆
1. └─TunerGenSA$new() at test_Tuner.R:21:3
2. └─mlr3tuning (local) initialize(...)
3. └─mlr3tuning:::.__TunerGenSA__initialize(...)
── Error ('test_Tuner.R:46:3'): we get a result when some subordinate params are not fulfilled ──
Error in ``$.R6`(archive, "n_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'n_evals'!
Backtrace:
▆
1. ├─inst$eval_batch(d) at test_Tuner.R:46:3
2. │ └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. │ ├─self$is_terminated
4. │ └─global `$.R6`(self, "is_terminated")
5. │ └─base::get(name, envir = x)
6. └─bbotk (local) `<fn>`()
7. └─bbotk:::.__OptimInstanceBatch__is_terminated(...)
8. └─self$terminator$is_terminated(self$archive)
9. └─bbotk:::.__TerminatorEvals__is_terminated(...)
10. ├─archive$n_evals
11. └─global `$.R6`(archive, "n_evals")
── Error ('test_Tuner.R:86:3'): optimize does not work in abstract class ───────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. ├─testthat::expect_error(tuner$optimize(inst), "abstract") at test_Tuner.R:86:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─tuner$optimize(inst)
8. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_Tuner.R:109:3'): Tuner works with graphlearner ─────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─tuner$optimize(inst) at test_Tuner.R:109:3
2. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_Tuner.R:139:3'): Tuner works with instantiated resampling ──────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─TunerRandomSearch$new() at test_Tuner.R:139:3
2. └─mlr3tuning (local) initialize(...)
3. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
4. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
5. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
6. └─bbotk::assert_optimizer(optimizer)
7. └─checkmate::assert_r6(optimizer, "Optimizer")
8. └─checkmate::checkR6(...)
── Error ('test_TunerGenSA.R:4:3'): TunerGenSA ─────────────────────────────────
Error in `.__TunerGenSA__initialize(self = self, private = private, super = super)`: object 'OptimizerGenSA' not found
Backtrace:
▆
1. └─global test_tuner("gensa") at test_TunerGenSA.R:4:3
2. └─mlr3tuning::tnr(key, ...)
3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerGenSA__initialize(...)
── Error ('test_TunerGenSA.R:22:3'): TunerGenSA with int params and trafo ──────
Error in `.__TunerGenSA__initialize(self = self, private = private, super = super)`: object 'OptimizerGenSA' not found
Backtrace:
▆
1. └─TunerGenSA$new() at test_TunerGenSA.R:22:3
2. └─mlr3tuning (local) initialize(...)
3. └─mlr3tuning:::.__TunerGenSA__initialize(...)
── Error ('test_TunerGenSA.R:30:3'): TunerGenSA - Optimize wrapper with maximize measure ──
Error in `.__TunerGenSA__initialize(self = self, private = private, super = super)`: object 'OptimizerGenSA' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("gensa", smooth = TRUE) at test_TunerGenSA.R:30:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerGenSA__initialize(...)
── Error ('test_TunerIrace.R:4:3'): TunerIrace ─────────────────────────────────
Error in `.__TunerIrace__initialize(self = self, private = private, super = super)`: object 'OptimizerIrace' not found
Backtrace:
▆
1. └─global test_tuner("irace", term_evals = 42, real_evals = 39) at test_TunerIrace.R:4:3
2. └─mlr3tuning::tnr(key, ...)
3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerIrace__initialize(...)
── Error ('test_TunerIrace.R:31:3'): TunerIrace works with dependencies ────────
Error in `.__TunerIrace__initialize(self = self, private = private, super = super)`: object 'OptimizerIrace' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("irace") at test_TunerIrace.R:31:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerIrace__initialize(...)
── Error ('test_TunerIrace.R:43:3'): TunerIrace works with logical parameters ──
Error in `.__TunerIrace__initialize(self = self, private = private, super = super)`: object 'OptimizerIrace' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("irace") at test_TunerIrace.R:43:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerIrace__initialize(...)
── Error ('test_TunerIrace.R:52:3'): TunerIrace uses digits ────────────────────
Error in `.__TunerIrace__initialize(self = self, private = private, super = super)`: object 'OptimizerIrace' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("irace", nbIterations = 1L, minNbSurvival = 1) at test_TunerIrace.R:52:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerIrace__initialize(...)
── Error ('test_TunerIrace.R:61:3'): TunerIrace works with unnamed discrete values ──
Error in `.__TunerIrace__initialize(self = self, private = private, super = super)`: object 'OptimizerIrace' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("irace") at test_TunerIrace.R:61:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerIrace__initialize(...)
── Error ('test_TunerNLoptr.R:3:3'): TunerNLoptr ───────────────────────────────
Error in `.__TunerNLoptr__initialize(self = self, private = private, super = super)`: object 'OptimizerNLoptr' not found
Backtrace:
▆
1. └─global test_tuner("nloptr", algorithm = "NLOPT_LN_BOBYQA", term_evals = 4) at test_TunerNLoptr.R:3:3
2. └─mlr3tuning::tnr(key, ...)
3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
4. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
5. │ └─checkmate::checkR6(...)
6. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
7. ├─base::do.call(constructor$new, cargs)
8. └─R6 (local) `<fn>`()
9. └─mlr3tuning (local) initialize(...)
10. └─mlr3tuning:::.__TunerNLoptr__initialize(...)
11. └─super$initialize(optimizer = OptimizerNLoptr$new(), man = "mlr3tuning::mlr_tuners_nloptr")
12. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
13. └─bbotk::assert_optimizer(optimizer)
14. └─checkmate::assert_r6(optimizer, "Optimizer")
15. └─checkmate::checkR6(...)
── Error ('test_TunerGridSearch.R:2:3'): TunerGridSearch ───────────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─global test_tuner(...) at test_TunerGridSearch.R:2:3
2. └─tuner$optimize(inst)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_TunerGridSearch.R:22:3'): TunerGridSearch with TerminatorNone ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─tuner$optimize(inst) at test_TunerGridSearch.R:22:3
2. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_TunerGridSearch.R:31:3'): TunerGridSearch works with forward hotstart parameter ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerGridSearch.R:31:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_TunerGridSearch.R:51:3'): TunerGridSearch works with forward hotstart parameter ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerGridSearch.R:51:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_TunerGridSearch.R:71:3'): TunerGridSearch works with forward and backward hotstart parameter ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerGridSearch.R:71:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_TunerRandomSearch.R:2:3'): TunerRandomSearch ───────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─global test_tuner("random_search") at test_TunerRandomSearch.R:2:3
2. └─mlr3tuning::tnr(key, ...)
3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
4. └─mlr3misc:::dictionary_get(dict, .key)
5. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
10. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceMultiCrit.R:15:3'): tuning with multiple objectives ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_TuningInstanceMultiCrit.R:15:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceMultiCrit.R:35:3'): store_benchmark_result and store_models flag works ──
Error in ``$.R6`(archive, "n_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'n_evals'!
Backtrace:
▆
1. ├─inst$eval_batch(...) at test_TuningInstanceMultiCrit.R:35:3
2. │ └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. │ ├─self$is_terminated
4. │ └─global `$.R6`(self, "is_terminated")
5. │ └─base::get(name, envir = x)
6. └─bbotk (local) `<fn>`()
7. └─bbotk:::.__OptimInstanceBatch__is_terminated(...)
8. └─self$terminator$is_terminated(self$archive)
9. └─bbotk:::.__TerminatorEvals__is_terminated(...)
10. ├─archive$n_evals
11. └─global `$.R6`(archive, "n_evals")
── Error ('test_TuningInstanceMultiCrit.R:59:3'): check_values flag with parameter set dependencies ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_TuningInstanceMultiCrit.R:59:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceMultiCrit.R:113:3'): TuneToken and result_learner_param_vals works ──
Error in `.__TunerDesignPoints__initialize(self = self, private = private,
super = super)`: object 'OptimizerDesignPoints' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("design_points", design = xdt) at test_TuningInstanceMultiCrit.R:113:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerDesignPoints__initialize(...)
10. └─super$initialize(optimizer = OptimizerDesignPoints$new(), man = "mlr3tuning::mlr_tuners_design_points")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceMultiCrit.R:122:3'): TuningInstanceMultiCrit and empty search space works ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TuningInstanceMultiCrit.R:122:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search", batch_size = 5)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─mlr3tuning (local) initialize(...)
13. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
14. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
15. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
16. └─bbotk::assert_optimizer(optimizer)
17. └─checkmate::assert_r6(optimizer, "Optimizer")
18. └─checkmate::checkR6(...)
── Error ('test_auto_tuner.R:5:3'): auto_tuner function works ──────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_auto_tuner.R:5:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search", batch_size = 10)
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
11. │ └─checkmate::checkR6(...)
12. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
13. ├─base::do.call(constructor$new, cargs)
14. └─R6 (local) `<fn>`()
15. └─mlr3tuning (local) initialize(...)
16. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
17. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
18. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
19. └─bbotk::assert_optimizer(optimizer)
20. └─checkmate::assert_r6(optimizer, "Optimizer")
21. └─checkmate::checkR6(...)
── Error ('test_error_handling.R:8:3'): failing learner ────────────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_error_handling.R:8:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_error_handling.R:33:3'): predictions missing ───────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_error_handling.R:33:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_extract_inner_tuning_archives.R:11:3'): extract_inner_tuning_archives function works ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3::resample(task, at, resampling_outer, store_models = TRUE) at test_extract_inner_tuning_archives.R:11:3
2. └─mlr3:::future_map(...)
3. └─future.apply::future_mapply(...)
4. └─future.apply:::future_xapply(...)
5. ├─future::value(fs)
6. └─future:::value.list(fs)
7. ├─future::resolve(...)
8. └─future:::resolve.list(...)
9. └─future (local) signalConditionsASAP(obj, resignal = FALSE, pos = ii)
10. └─future:::signalConditions(...)
── Error ('test_extract_inner_tuning_results.R:6:3'): extract_inner_tuning_results function works ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_extract_inner_tuning_results.R:6:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_extract_inner_tuning_results.R:122:3'): extract_inner_tuning_results returns tuning_instance ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::auto_tuner(...) at test_extract_inner_tuning_results.R:122:3
2. │ └─AutoTuner$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
5. │ └─mlr3tuning:::assert_tuner(tuner)
6. │ └─checkmate::assert_r6(tuner, "Tuner")
7. │ └─checkmate::checkR6(...)
8. └─mlr3tuning::tnr("random_search")
9. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
10. └─mlr3misc:::dictionary_get(dict, .key)
11. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
12. ├─base::do.call(constructor$new, cargs)
13. └─R6 (local) `<fn>`()
14. └─mlr3tuning (local) initialize(...)
15. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
16. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
17. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
18. └─bbotk::assert_optimizer(optimizer)
19. └─checkmate::assert_r6(optimizer, "Optimizer")
20. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceSingleCrit.R:4:3'): TuningInstanceSingleCrit ─────
Error in ``$.R6`(inst$archive, data)`: R6 class ArchiveTuning/Archive/R6 does not have slot 'data'!
Backtrace:
▆
1. ├─checkmate::expect_data_table(inst$archive$data, nrows = 0) at test_TuningInstanceSingleCrit.R:4:3
2. │ └─checkmate::checkDataTable(...)
3. ├─inst$archive$data
4. └─global `$.R6`(inst$archive, data)
── Error ('test_TuningInstanceSingleCrit.R:46:3'): archive one row (#40) ───────
Error in ``$.R6`(archive, "n_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'n_evals'!
Backtrace:
▆
1. ├─inst$eval_batch(data.table(cp = 0.1)) at test_TuningInstanceSingleCrit.R:46:3
2. │ └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. │ ├─self$is_terminated
4. │ └─global `$.R6`(self, "is_terminated")
5. │ └─base::get(name, envir = x)
6. └─bbotk (local) `<fn>`()
7. └─bbotk:::.__OptimInstanceBatch__is_terminated(...)
8. └─self$terminator$is_terminated(self$archive)
9. └─bbotk:::.__TerminatorEvals__is_terminated(...)
10. ├─archive$n_evals
11. └─global `$.R6`(archive, "n_evals")
── Error ('test_TuningInstanceSingleCrit.R:55:3'): eval_batch and termination ──
Error in ``$.R6`(archive, "n_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'n_evals'!
Backtrace:
▆
1. ├─inst$eval_batch(design[1:2, ]) at test_TuningInstanceSingleCrit.R:55:3
2. │ └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. │ ├─self$is_terminated
4. │ └─global `$.R6`(self, "is_terminated")
5. │ └─base::get(name, envir = x)
6. └─bbotk (local) `<fn>`()
7. └─bbotk:::.__OptimInstanceBatch__is_terminated(...)
8. └─self$terminator$is_terminated(self$archive)
9. └─bbotk:::.__TerminatorEvals__is_terminated(...)
10. ├─archive$n_evals
11. └─global `$.R6`(archive, "n_evals")
── Error ('test_TuningInstanceSingleCrit.R:76:3'): the same experiment can be added twice ──
Error in ``$.R6`(archive, "n_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'n_evals'!
Backtrace:
▆
1. ├─inst$eval_batch(d) at test_TuningInstanceSingleCrit.R:76:3
2. │ └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. │ ├─self$is_terminated
4. │ └─global `$.R6`(self, "is_terminated")
5. │ └─base::get(name, envir = x)
6. └─bbotk (local) `<fn>`()
7. └─bbotk:::.__OptimInstanceBatch__is_terminated(...)
8. └─self$terminator$is_terminated(self$archive)
9. └─bbotk:::.__TerminatorEvals__is_terminated(...)
10. ├─archive$n_evals
11. └─global `$.R6`(archive, "n_evals")
── Error ('test_TuningInstanceSingleCrit.R:96:3'): tuning with custom resampling ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_TuningInstanceSingleCrit.R:96:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceSingleCrit.R:131:3'): non-scalar hyperpars (#201) ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_TuningInstanceSingleCrit.R:131:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceSingleCrit.R:139:3'): store_benchmark_result and store_models flag works ──
Error in ``$.R6`(archive, "n_evals")`: R6 class ArchiveTuning/Archive/R6 does not have slot 'n_evals'!
Backtrace:
▆
1. ├─inst$eval_batch(...) at test_TuningInstanceSingleCrit.R:139:3
2. │ └─bbotk:::.__OptimInstanceBatch__eval_batch(...)
3. │ ├─self$is_terminated
4. │ └─global `$.R6`(self, "is_terminated")
5. │ └─base::get(name, envir = x)
6. └─bbotk (local) `<fn>`()
7. └─bbotk:::.__OptimInstanceBatch__is_terminated(...)
8. └─self$terminator$is_terminated(self$archive)
9. └─bbotk:::.__TerminatorEvals__is_terminated(...)
10. ├─archive$n_evals
11. └─global `$.R6`(archive, "n_evals")
── Error ('test_TuningInstanceSingleCrit.R:169:3'): check_values flag with parameter set dependencies ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("random_search") at test_TuningInstanceSingleCrit.R:169:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. └─mlr3misc:::dictionary_get(dict, .key)
4. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
5. ├─base::do.call(constructor$new, cargs)
6. └─R6 (local) `<fn>`()
7. └─mlr3tuning (local) initialize(...)
8. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
9. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
10. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
11. └─bbotk::assert_optimizer(optimizer)
12. └─checkmate::assert_r6(optimizer, "Optimizer")
13. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceSingleCrit.R:222:3'): TuneToken and result_learner_param_vals works ──
Error in `.__TunerDesignPoints__initialize(self = self, private = private,
super = super)`: object 'OptimizerDesignPoints' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("design_points", design = xdt) at test_TuningInstanceSingleCrit.R:222:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerDesignPoints__initialize(...)
10. └─super$initialize(optimizer = OptimizerDesignPoints$new(), man = "mlr3tuning::mlr_tuners_design_points")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Error ('test_TuningInstanceSingleCrit.R:233:3'): TuningInstanceSingleCrit and empty search space works ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TuningInstanceSingleCrit.R:233:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search", batch_size = 5)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─mlr3tuning (local) initialize(...)
13. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
14. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
15. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
16. └─bbotk::assert_optimizer(optimizer)
17. └─checkmate::assert_r6(optimizer, "Optimizer")
18. └─checkmate::checkR6(...)
── Error ('test_mlr_callbacks.R:52:3'): backup callback works ──────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_mlr_callbacks.R:52:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search", batch_size = 2)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─mlr3tuning (local) initialize(...)
13. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
14. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
15. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
16. └─bbotk::assert_optimizer(optimizer)
17. └─checkmate::assert_r6(optimizer, "Optimizer")
18. └─checkmate::checkR6(...)
── Error ('test_mlr_callbacks.R:69:3'): backup callback works with standalone tuner ──
Error: 'CallbackOptimization' is not an exported object from 'namespace:bbotk'
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_mlr_callbacks.R:69:3
2. │ └─TuningInstance$new(...)
3. │ └─mlr3tuning (local) initialize(...)
4. │ └─mlr3tuning:::.__TuningInstanceSingleCrit__initialize(...)
5. │ └─ObjectiveTuning$new(...)
6. │ └─mlr3tuning (local) initialize(...)
7. │ └─mlr3tuning:::.__ObjectiveTuning__initialize(...)
8. │ ├─mlr3misc::assert_callbacks(as_callbacks(callbacks))
9. │ │ └─base::lapply(callbacks, assert_callback)
10. │ └─mlr3misc::as_callbacks(callbacks)
11. └─mlr3misc::clbk("mlr3tuning.backup", path = file)
12. └─mlr3misc::dictionary_sugar_get(mlr_callbacks, .key)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor, cargs)
16. └─mlr3tuning (local) `<fn>`()
17. └─mlr3tuning::callback_tuning(...)
18. └─CallbackTuning$new(id, label, man)
19. └─R6 (local) get_inherit()
20. └─base::eval(inherit, parent_env, NULL)
21. └─base::eval(inherit, parent_env, NULL)
── Error ('test_mlr_tuners.R:2:3'): mlr_tuners ─────────────────────────────────
Error in `.__TunerCmaes__initialize(self = self, private = private, super = super)`: object 'OptimizerCmaes' not found
Backtrace:
▆
1. └─global expect_dictionary(mlr_tuners, min_items = 1L) at test_mlr_tuners.R:2:3
2. ├─checkmate::expect_data_table(...)
3. │ └─checkmate::checkDataTable(...)
4. ├─data.table::as.data.table(d)
5. └─mlr3tuning:::as.data.table.DictionaryTuner(d)
6. ├─data.table::setkeyv(...)
7. │ └─data.table::is.data.table(x)
8. └─mlr3misc::map_dtr(...)
9. ├─data.table::rbindlist(...)
10. ├─base::unname(map(.x, .f, ...))
11. └─mlr3misc::map(.x, .f, ...)
12. └─base::lapply(.x, .f, ...)
13. └─mlr3tuning (local) FUN(X[[i]], ...)
14. ├─base::withCallingHandlers(x$get(key), packageNotFoundWarning = function(w) invokeRestart("muffleWarning"))
15. └─x$get(key)
16. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
17. │ └─base::eval.parent(expr, n = 1L)
18. │ └─base::eval(expr, p)
19. │ └─base::eval(expr, p)
20. └─mlr3misc:::dictionary_get(self = self, key = key)
21. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
22. ├─base::do.call(constructor$new, cargs)
23. └─R6 (local) `<fn>`()
24. └─mlr3tuning (local) initialize(...)
25. └─mlr3tuning:::.__TunerCmaes__initialize(...)
26. └─super$initialize(optimizer = OptimizerCmaes$new(), man = "mlr3tuning::mlr_tuners_cmaes")
27. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
28. └─bbotk::assert_optimizer(optimizer)
29. └─checkmate::assert_r6(optimizer, "Optimizer")
30. └─checkmate::checkR6(...)
── Error ('test_mlr_tuners.R:12:3'): mlr_tuners sugar ──────────────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─checkmate::expect_class(tnr("random_search"), "Tuner") at test_mlr_tuners.R:12:3
2. │ └─checkmate::checkClass(x, classes, ordered, null.ok)
3. └─mlr3tuning::tnr("random_search")
4. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
5. └─mlr3misc:::dictionary_get(dict, .key)
6. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
7. ├─base::do.call(constructor$new, cargs)
8. └─R6 (local) `<fn>`()
9. └─mlr3tuning (local) initialize(...)
10. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
11. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
12. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
13. └─bbotk::assert_optimizer(optimizer)
14. └─checkmate::assert_r6(optimizer, "Optimizer")
15. └─checkmate::checkR6(...)
── Error ('test_mlr_tuners.R:17:3'): as.data.table objects parameter ───────────
Error in `.__TunerCmaes__initialize(self = self, private = private, super = super)`: object 'OptimizerCmaes' not found
Backtrace:
▆
1. ├─data.table::as.data.table(mlr_tuners, objects = TRUE) at test_mlr_tuners.R:17:3
2. └─mlr3tuning:::as.data.table.DictionaryTuner(mlr_tuners, objects = TRUE)
3. ├─data.table::setkeyv(...)
4. │ └─data.table::is.data.table(x)
5. └─mlr3misc::map_dtr(...)
6. ├─data.table::rbindlist(...)
7. ├─base::unname(map(.x, .f, ...))
8. └─mlr3misc::map(.x, .f, ...)
9. └─base::lapply(.x, .f, ...)
10. └─mlr3tuning (local) FUN(X[[i]], ...)
11. ├─base::withCallingHandlers(x$get(key), packageNotFoundWarning = function(w) invokeRestart("muffleWarning"))
12. └─x$get(key)
13. ├─mlr3misc::invoke(dictionary_get, self = self, key = key, .args = args)
14. │ └─base::eval.parent(expr, n = 1L)
15. │ └─base::eval(expr, p)
16. │ └─base::eval(expr, p)
17. └─mlr3misc:::dictionary_get(self = self, key = key)
18. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
19. ├─base::do.call(constructor$new, cargs)
20. └─R6 (local) `<fn>`()
21. └─mlr3tuning (local) initialize(...)
22. └─mlr3tuning:::.__TunerCmaes__initialize(...)
23. └─super$initialize(optimizer = OptimizerCmaes$new(), man = "mlr3tuning::mlr_tuners_cmaes")
24. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
25. └─bbotk::assert_optimizer(optimizer)
26. └─checkmate::assert_r6(optimizer, "Optimizer")
27. └─checkmate::checkR6(...)
── Error ('test_hotstart.R:5:3'): hotstart works forwards ──────────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_hotstart.R:5:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_hotstart.R:26:3'): hotstart works backwards ────────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_hotstart.R:26:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_hotstart.R:47:3'): hotstart works forwards and backwards ───────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_hotstart.R:47:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_hotstart.R:67:3'): hotstart flag is not set to TRUE if learners does not support hotstarting ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_hotstart.R:67:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_hotstart.R:84:3'): models are discarded after storing them in the stack ──
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_hotstart.R:84:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_hotstart.R:107:3'): objects are cloned ─────────────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_hotstart.R:107:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_trafos.R:8:3'): simple exp trafo works ─────────────────────────
Error in `.__TunerDesignPoints__initialize(self = self, private = private,
super = super)`: object 'OptimizerDesignPoints' not found
Backtrace:
▆
1. └─mlr3tuning::tnr("design_points", design = d) at test_trafos.R:8:3
2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
4. │ └─checkmate::checkR6(...)
5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
6. ├─base::do.call(constructor$new, cargs)
7. └─R6 (local) `<fn>`()
8. └─mlr3tuning (local) initialize(...)
9. └─mlr3tuning:::.__TunerDesignPoints__initialize(...)
10. └─super$initialize(optimizer = OptimizerDesignPoints$new(), man = "mlr3tuning::mlr_tuners_design_points")
11. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
12. └─bbotk::assert_optimizer(optimizer)
13. └─checkmate::assert_r6(optimizer, "Optimizer")
14. └─checkmate::checkR6(...)
── Error ('test_trafos.R:34:3'): trafo where param names change ────────────────
Error in `.__Tuner__optimize(self = self, private = private, super = super,
inst = inst)`: object 'ContextOptimization' not found
Backtrace:
▆
1. └─tuner$optimize(inst) at test_trafos.R:34:3
2. └─mlr3tuning:::.__Tuner__optimize(...)
── Error ('test_tune_nested.R:5:3'): tune_nested function works ────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune_nested(...) at test_tune_nested.R:5:3
2. │ └─mlr3tuning::auto_tuner(...)
3. │ └─AutoTuner$new(...)
4. │ └─mlr3tuning (local) initialize(...)
5. │ └─mlr3tuning:::.__AutoTuner__initialize(...)
6. │ └─mlr3tuning:::assert_tuner(tuner)
7. │ └─checkmate::assert_r6(tuner, "Tuner")
8. │ └─checkmate::checkR6(...)
9. └─mlr3tuning::tnr("random_search", batch_size = 1)
10. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
11. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
12. │ └─checkmate::checkR6(...)
13. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
14. ├─base::do.call(constructor$new, cargs)
15. └─R6 (local) `<fn>`()
16. └─mlr3tuning (local) initialize(...)
17. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
18. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
19. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
20. └─bbotk::assert_optimizer(optimizer)
21. └─checkmate::assert_r6(optimizer, "Optimizer")
22. └─checkmate::checkR6(...)
── Error ('test_tune.R:3:3'): tune function works with one measure ─────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_tune.R:3:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search", batch_size = 1)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─mlr3tuning (local) initialize(...)
13. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
14. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
15. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
16. └─bbotk::assert_optimizer(optimizer)
17. └─checkmate::assert_r6(optimizer, "Optimizer")
18. └─checkmate::checkR6(...)
── Error ('test_tune.R:13:3'): tune function works with multiple measures ──────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_tune.R:13:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search", batch_size = 1)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─mlr3tuning (local) initialize(...)
13. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
14. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
15. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
16. └─bbotk::assert_optimizer(optimizer)
17. └─checkmate::assert_r6(optimizer, "Optimizer")
18. └─checkmate::checkR6(...)
── Error ('test_tune.R:23:3'): tune function works without measure ─────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_tune.R:23:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search")
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor$new, cargs)
10. └─R6 (local) `<fn>`()
11. └─mlr3tuning (local) initialize(...)
12. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
13. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
14. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
15. └─bbotk::assert_optimizer(optimizer)
16. └─checkmate::assert_r6(optimizer, "Optimizer")
17. └─checkmate::checkR6(...)
── Error ('test_tune.R:55:3'): evaluate_default works ──────────────────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_tune.R:55:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search")
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor$new, cargs)
10. └─R6 (local) `<fn>`()
11. └─mlr3tuning (local) initialize(...)
12. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
13. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
14. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
15. └─bbotk::assert_optimizer(optimizer)
16. └─checkmate::assert_r6(optimizer, "Optimizer")
17. └─checkmate::checkR6(...)
── Error ('test_tune.R:72:3'): evaluate_default works with logscale ────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_tune.R:72:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search")
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor$new, cargs)
10. └─R6 (local) `<fn>`()
11. └─mlr3tuning (local) initialize(...)
12. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
13. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
14. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
15. └─bbotk::assert_optimizer(optimizer)
16. └─checkmate::assert_r6(optimizer, "Optimizer")
17. └─checkmate::checkR6(...)
── Error ('test_tune.R:89:3'): evaluate_default errors with trafo ──────────────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_tune.R:89:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning:::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("random_search")
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─mlr3tuning (local) initialize(...)
18. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
19. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
20. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
21. └─bbotk::assert_optimizer(optimizer)
22. └─checkmate::assert_r6(optimizer, "Optimizer")
23. └─checkmate::checkR6(...)
── Error ('test_tune.R:105:3'): evaluate_default works without transformation and with logscale ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_tune.R:105:3
2. │ └─mlr3tuning:::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("random_search")
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor$new, cargs)
10. └─R6 (local) `<fn>`()
11. └─mlr3tuning (local) initialize(...)
12. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
13. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
14. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
15. └─bbotk::assert_optimizer(optimizer)
16. └─checkmate::assert_r6(optimizer, "Optimizer")
17. └─checkmate::checkR6(...)
── Error ('test_tune.R:127:3'): evaluate_default errors without transformation and with logscale and trafo ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_tune.R:127:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning:::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("random_search")
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─mlr3tuning (local) initialize(...)
18. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
19. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
20. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
21. └─bbotk::assert_optimizer(optimizer)
22. └─checkmate::assert_r6(optimizer, "Optimizer")
23. └─checkmate::checkR6(...)
── Error ('test_tune.R:150:3'): evaluate_default errors with extra trafo ───────
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_tune.R:150:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning:::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("random_search")
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─mlr3tuning (local) initialize(...)
18. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
19. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
20. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
21. └─bbotk::assert_optimizer(optimizer)
22. └─checkmate::assert_r6(optimizer, "Optimizer")
23. └─checkmate::checkR6(...)
── Error ('test_tune.R:168:3'): evaluate_default errors with old parameter set api ──
Error in `.__TunerRandomSearch__initialize(self = self, private = private,
super = super)`: object 'OptimizerRandomSearch' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_tune.R:168:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning:::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("random_search")
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─mlr3tuning (local) initialize(...)
18. └─mlr3tuning:::.__TunerRandomSearch__initialize(...)
19. └─super$initialize(optimizer = OptimizerRandomSearch$new(), man = "mlr3tuning::mlr_tuners_random_search")
20. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...)
21. └─bbotk::assert_optimizer(optimizer)
22. └─checkmate::assert_r6(optimizer, "Optimizer")
23. └─checkmate::checkR6(...)
[ FAIL 95 | WARN 0 | SKIP 1 | PASS 149 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.0.0
Check: package dependencies
Result: ERROR
Packages required and available but unsuitable versions:
'mlr3', 'paradox', 'bbotk'
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64