CRAN Package Check Results for Package mlr3tuning

Last updated on 2024-06-29 09:49:01 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 0.20.0 9.18 475.63 484.81 OK
r-devel-linux-x86_64-fedora-clang 0.20.0 228.76 ERROR
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 0.20.0 11.94 617.05 628.99 OK
r-release-macos-arm64 0.20.0 124.00 OK
r-release-macos-x86_64 0.20.0 200.00 OK
r-release-windows-x86_64 0.20.0 12.00 297.00 309.00 OK
r-oldrel-macos-arm64 0.20.0 139.00 OK
r-oldrel-macos-x86_64 0.20.0 259.00 OK
r-oldrel-windows-x86_64 0.20.0 12.00 437.00 449.00 OK

Check Details

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 Flavors: r-devel-linux-x86_64-fedora-clang, 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. Flavors: r-devel-linux-x86_64-fedora-clang, 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 Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.20.0
Check: tests
Result: ERROR Running ‘testthat.R’ [104s/97s] 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_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$new(), man = "mlr3tuning::mlr_tuners_random_search") 5. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...) 6. └─bbotk::assert_optimizer(optimizer) 7. └─checkmate::assert_r6(optimizer, "Optimizer") 8. └─checkmate::checkR6(...) ── Error ('test_TunerDesignPoints.R:3:3'): TunerDesignPoints ─────────────────── Error in `.__TunerDesignPoints__initialize(self = self, private = private, super = super)`: object 'OptimizerDesignPoints' not found Backtrace: ▆ 1. └─global test_tuner(...) at test_TunerDesignPoints.R:3:3 2. └─mlr3tuning::tnr(key, ...) 3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...) 4. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii])) 5. │ └─checkmate::checkR6(...) 6. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii]) 7. ├─base::do.call(constructor$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_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_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$optimize(instance) 3. └─mlr3tuning:::.__Tuner__optimize(...) ── Error ('test_TunerNLoptr.R:3:3'): TunerNLoptr ─────────────────────────────── Error in `.__TunerNLoptr__initialize(self = self, private = private, super = super)`: object 'OptimizerNLoptr' not found Backtrace: ▆ 1. └─global test_tuner("nloptr", algorithm = "NLOPT_LN_BOBYQA", term_evals = 4) at test_TunerNLoptr.R:3:3 2. └─mlr3tuning::tnr(key, ...) 3. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...) 4. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii])) 5. │ └─checkmate::checkR6(...) 6. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii]) 7. ├─base::do.call(constructor$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_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_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_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$new(), man = "mlr3tuning::mlr_tuners_cmaes") 24. └─mlr3tuning:::.__TunerFromOptimizer__initialize(...) 25. └─bbotk::assert_optimizer(optimizer) 26. └─checkmate::assert_r6(optimizer, "Optimizer") 27. └─checkmate::checkR6(...) ── Error ('test_trafos.R:8:3'): simple exp trafo works ───────────────────────── Error in `.__TunerDesignPoints__initialize(self = self, private = private, super = super)`: object 'OptimizerDesignPoints' not found Backtrace: ▆ 1. └─mlr3tuning::tnr("design_points", design = d) at test_trafos.R:8:3 2. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...) 3. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii])) 4. │ └─checkmate::checkR6(...) 5. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii]) 6. ├─base::do.call(constructor$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-clang

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