Last updated on 2024-06-30 12:57:04 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.5.0 | 6.88 | 407.20 | 414.08 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.5.0 | 5.21 | 70.50 | 75.71 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.6.0 | 447.83 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 0.5.0 | 154.17 | ERROR | |||
| r-devel-windows-x86_64 | 0.5.0 | 8.00 | 176.00 | 184.00 | OK | |
| r-patched-linux-x86_64 | 0.5.0 | 9.90 | 390.47 | 400.37 | OK | |
| r-release-linux-x86_64 | 0.5.0 | 7.33 | 383.45 | 390.78 | OK | |
| r-release-macos-arm64 | 0.6.0 | 106.00 | OK | |||
| r-release-macos-x86_64 | 0.6.0 | 199.00 | OK | |||
| r-release-windows-x86_64 | 0.6.0 | 6.00 | 168.00 | 174.00 | OK | |
| r-oldrel-macos-arm64 | 0.6.0 | 9.00 | ERROR | |||
| r-oldrel-macos-x86_64 | 0.6.0 | 11.00 | ERROR | |||
| r-oldrel-windows-x86_64 | 0.6.0 | 6.00 | 206.00 | 212.00 | OK |
Version: 0.5.0
Check: Rd cross-references
Result: WARN
Missing link or links in Rd file 'mlr_tuners_hyperband.Rd':
‘[mlr3tuning:TunerFromOptimizer]{mlr3tuning::TunerFromOptimizer}’
Missing link or links in Rd file 'mlr_tuners_successive_halving.Rd':
‘[mlr3tuning:TunerFromOptimizer]{mlr3tuning::TunerFromOptimizer}’
See section 'Cross-references' in the 'Writing R Extensions' manual.
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5.0
Check: examples
Result: ERROR
Running examples in ‘mlr3hyperband-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: mlr_optimizers_hyperband
> ### Title: Optimizer Using the Hyperband Algorithm
> ### Aliases: mlr_optimizers_hyperband OptimizerHyperband
>
> ### ** Examples
>
> library(bbotk)
> library(data.table)
>
> # set search space
> search_space = domain = ps(
+ x1 = p_dbl(-5, 10),
+ x2 = p_dbl(0, 15),
+ fidelity = p_dbl(1e-2, 1, tags = "budget")
+ )
>
> # Branin function with fidelity, see `bbotk::branin()`
> fun = function(xs) branin_wu(xs[["x1"]], xs[["x2"]], xs[["fidelity"]])
>
> # create objective
> objective = ObjectiveRFun$new(
+ fun = fun,
+ domain = domain,
+ codomain = ps(y = p_dbl(tags = "minimize"))
+ )
>
> # initialize instance and optimizer
> instance = OptimInstanceSingleCrit$new(
+ objective = objective,
+ search_space = search_space,
+ terminator = trm("evals", n_evals = 50)
+ )
OptimInstanceSingleCrit is deprecated. Use OptimInstanceBatchSingleCrit instead.
>
> optimizer = opt("hyperband")
>
> # optimize branin function
> optimizer$optimize(instance)
Error: attempt to apply non-function
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [34s/33s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate")
+ library("mlr3hyperband")
+ test_check("mlr3hyperband")
+ }
Loading required package: mlr3tuning
Loading required package: mlr3
Loading required package: paradox
Starting 2 test processes
[ FAIL 42 | WARN 0 | SKIP 0 | PASS 24 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_TunerHyperband.R:7:3'): TunerHyperband works ───────────────────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:7:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler)
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:16:3'): TunerHyperband works with minimum budget > 1 ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:16:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:25:3'): TunerHyperband rounds budget ──────────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:25:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:34:3'): TunerHyperband works with eta = 2.5 ───
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2.5, learner) at test_TunerHyperband.R:34:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:47:3'): TunerHyperband works with xgboost ─────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:47:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:58:3'): TunerHyperband works with subsampling ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 3, graph_learner) at test_TunerHyperband.R:58:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:68:3'): TunerHyperband works works with multi-crit ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerHyperband.R:68:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:79:3'): TunerHyperband works with custom sampler ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner, sampler = sampler) at test_TunerHyperband.R:79:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:91:3'): TunerHyperband errors if not enough parameters are sampled ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:91:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("hyperband", sampler = sampler)
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
14. │ └─checkmate::checkR6(...)
15. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
16. ├─base::do.call(constructor$new, cargs)
17. └─R6 (local) `<fn>`()
18. └─R6 (local) get_inherit()
19. └─base::eval(inherit, parent_env, NULL)
20. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:113:3'): TunerHyperband errors if budget parameter is sampled ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:113:3
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("hyperband", sampler = sampler)
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
14. │ └─checkmate::checkR6(...)
15. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
16. ├─base::do.call(constructor$new, cargs)
17. └─R6 (local) `<fn>`()
18. └─R6 (local) get_inherit()
19. └─base::eval(inherit, parent_env, NULL)
20. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:130:3'): TunerHyperband errors if budget parameter is not numeric ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:130:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("hyperband")
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─R6 (local) get_inherit()
18. └─base::eval(inherit, parent_env, NULL)
19. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:147:3'): TunerHyperband errors if multiple budget parameters are set ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:147:3
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("hyperband")
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$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─R6 (local) get_inherit()
18. └─base::eval(inherit, parent_env, NULL)
19. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:164:3'): TunerHyperband minimizes measure ─────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerHyperband.R:164:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:175:3'): TunerHyperband maximizes measure ─────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerHyperband.R:175:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:186:3'): TunerHyperband works with single budget value ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:186:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr("hyperband", eta = eta, sampler = sampler) at tests/testthat/helper.R:26:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:195:3'): TunerHyperband works with repetitions ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TunerHyperband.R:195:3
2. │ └─mlr3tuning::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("hyperband", repetitions = 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$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─R6 (local) get_inherit()
13. └─base::eval(inherit, parent_env, NULL)
14. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:211:3'): TunerHyperband terminates itself ─────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TunerHyperband.R:211:3
2. │ └─mlr3tuning::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("hyperband")
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. └─mlr3misc:::dictionary_get(dict, .key)
8. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
9. ├─base::do.call(constructor$new, cargs)
10. └─R6 (local) `<fn>`()
11. └─R6 (local) get_inherit()
12. └─base::eval(inherit, parent_env, NULL)
13. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:227:3'): TunerHyperband works with infinite repetitions ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TunerHyperband.R:227:3
2. │ └─mlr3tuning::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("hyperband", repetitions = Inf)
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$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─R6 (local) get_inherit()
13. └─base::eval(inherit, parent_env, NULL)
14. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerHyperband.R:239:3'): TunerHyperband man exists ────────────
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─global expect_man_exists(tnr("hyperband")$man) at test_TunerHyperband.R:239:3
2. │ └─checkmate::expect_string(man, na.ok = TRUE, fixed = "::")
3. │ └─checkmate::checkString(...)
4. │ └─... %and% ...
5. │ └─base::isTRUE(lhs)
6. └─mlr3tuning::tnr("hyperband")
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─R6 (local) get_inherit()
13. └─base::eval(inherit, parent_env, NULL)
14. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:7:3'): TunerSuccessiveHalving works ───
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:7:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...)
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:16:3'): TunerSuccessiveHalving works with minimum budget > 1 ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:16:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:25:3'): TunerSuccessiveHalving rounds budget ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:25:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:34:3'): TunerSuccessiveHalving works with eta = 2.5 ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:34:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:43:3'): TunerSuccessiveHalving adjusts minimum budget ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:43:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:65:3'): TunerSuccessiveHalving works with xgboost ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:65:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:76:3'): TunerSuccessiveHalving works with subsampling ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:76:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:85:3'): TunerSuccessiveHalving works with multi-crit ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:85:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:96:3'): TunerSuccessiveHalving works with custom sampler ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:96:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:108:3'): TunerSuccessiveHalving errors if not enough parameters are sampled ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:108:3
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("successive_halving", sampler = sampler)
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
14. │ └─checkmate::checkR6(...)
15. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
16. ├─base::do.call(constructor$new, cargs)
17. └─R6 (local) `<fn>`()
18. └─R6 (local) get_inherit()
19. └─base::eval(inherit, parent_env, NULL)
20. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:130:3'): TunerSuccessiveHalving errors if budget parameter is sampled ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:130:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("successive_halving", sampler = sampler)
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
14. │ └─checkmate::checkR6(...)
15. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
16. ├─base::do.call(constructor$new, cargs)
17. └─R6 (local) `<fn>`()
18. └─R6 (local) get_inherit()
19. └─base::eval(inherit, parent_env, NULL)
20. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:147:3'): TunerSuccessiveHalving errors if budget parameter is not numeric ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:147:3
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("successive_halving")
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$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─R6 (local) get_inherit()
18. └─base::eval(inherit, parent_env, NULL)
19. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:164:3'): TunerSuccessiveHalving errors if multiple budget parameters are set ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:164:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. ├─mlr3tuning::tune(...)
8. │ └─mlr3tuning::assert_tuner(tuner)
9. │ └─checkmate::assert_r6(tuner, "Tuner")
10. │ └─checkmate::checkR6(...)
11. └─mlr3tuning::tnr("successive_halving")
12. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
13. └─mlr3misc:::dictionary_get(dict, .key)
14. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
15. ├─base::do.call(constructor$new, cargs)
16. └─R6 (local) `<fn>`()
17. └─R6 (local) get_inherit()
18. └─base::eval(inherit, parent_env, NULL)
19. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:181:3'): TunerSuccessiveHalving minimizes measure ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:181:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:191:3'): TunerSuccessiveHalving maximizes measure ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:191:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:201:3'): TunerSuccessiveHalving works with single budget value ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:201:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:210:3'): TunerSuccessiveHalving works with repetitions ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TunerSuccessiveHalving.R:210:3
2. │ └─mlr3tuning::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("successive_halving", repetitions = 2)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─R6 (local) get_inherit()
13. └─base::eval(inherit, parent_env, NULL)
14. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:226:3'): TunerSuccessiveHalving terminates itself ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TunerSuccessiveHalving.R:226:3
2. │ └─mlr3tuning::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("successive_halving")
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$new, cargs)
10. └─R6 (local) `<fn>`()
11. └─R6 (local) get_inherit()
12. └─base::eval(inherit, parent_env, NULL)
13. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:242:3'): TunerSuccessiveHalving works with infinite repetitions ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─mlr3tuning::tune(...) at test_TunerSuccessiveHalving.R:242:3
2. │ └─mlr3tuning::assert_tuner(tuner)
3. │ └─checkmate::assert_r6(tuner, "Tuner")
4. │ └─checkmate::checkR6(...)
5. └─mlr3tuning::tnr("successive_halving", repetitions = Inf)
6. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
7. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
8. │ └─checkmate::checkR6(...)
9. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─R6 (local) get_inherit()
13. └─base::eval(inherit, parent_env, NULL)
14. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:259:3'): TunerSuccessiveHalving works with r_max > n ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:259:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:268:3'): TunerSuccessiveHalving works with r_max < n ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:268:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:277:3'): TunerSuccessiveHalving works with r_max < n and adjust minimum budget ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:277:3
2. ├─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. │ └─mlr3tuning::assert_tuner(tuner)
4. │ └─checkmate::assert_r6(tuner, "Tuner")
5. │ └─checkmate::checkR6(...)
6. └─mlr3tuning::tnr(...) at tests/testthat/helper.R:61:3
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. ├─checkmate::assert_r6(dictionary_initialize_item(.key, obj, dots[ii]))
9. │ └─checkmate::checkR6(...)
10. └─mlr3misc:::dictionary_initialize_item(.key, obj, dots[ii])
11. ├─base::do.call(constructor$new, cargs)
12. └─R6 (local) `<fn>`()
13. └─R6 (local) get_inherit()
14. └─base::eval(inherit, parent_env, NULL)
15. └─base::eval(inherit, parent_env, NULL)
── Error ('test_TunerSuccessiveHalving.R:281:3'): TunerSuccessiveHalving man exists ──
Error in `eval(inherit, parent_env, NULL)`: object 'TunerFromOptimizer' not found
Backtrace:
▆
1. ├─global expect_man_exists(tnr("successive_halving")$man) at test_TunerSuccessiveHalving.R:281:3
2. │ └─checkmate::expect_string(man, na.ok = TRUE, fixed = "::")
3. │ └─checkmate::checkString(...)
4. │ └─... %and% ...
5. │ └─base::isTRUE(lhs)
6. └─mlr3tuning::tnr("successive_halving")
7. └─mlr3misc::dictionary_sugar_get(mlr_tuners, .key, ...)
8. └─mlr3misc:::dictionary_get(dict, .key)
9. └─mlr3misc:::dictionary_initialize_item(key, obj, dots)
10. ├─base::do.call(constructor$new, cargs)
11. └─R6 (local) `<fn>`()
12. └─R6 (local) get_inherit()
13. └─base::eval(inherit, parent_env, NULL)
14. └─base::eval(inherit, parent_env, NULL)
[ FAIL 42 | WARN 0 | SKIP 0 | PASS 24 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5.0
Check: examples
Result: ERROR
Running examples in ‘mlr3hyperband-Ex.R’ failed
The error most likely occurred in:
> ### Name: mlr_optimizers_hyperband
> ### Title: Optimizer Using the Hyperband Algorithm
> ### Aliases: mlr_optimizers_hyperband OptimizerHyperband
>
> ### ** Examples
>
> library(bbotk)
> library(data.table)
>
> # set search space
> search_space = domain = ps(
+ x1 = p_dbl(-5, 10),
+ x2 = p_dbl(0, 15),
+ fidelity = p_dbl(1e-2, 1, tags = "budget")
+ )
>
> # Branin function with fidelity, see `bbotk::branin()`
> fun = function(xs) branin_wu(xs[["x1"]], xs[["x2"]], xs[["fidelity"]])
>
> # create objective
> objective = ObjectiveRFun$new(
+ fun = fun,
+ domain = domain,
+ codomain = ps(y = p_dbl(tags = "minimize"))
+ )
>
> # initialize instance and optimizer
> instance = OptimInstanceSingleCrit$new(
+ objective = objective,
+ search_space = search_space,
+ terminator = trm("evals", n_evals = 50)
+ )
OptimInstanceSingleCrit is deprecated. Use OptimInstanceBatchSingleCrit instead.
>
> optimizer = opt("hyperband")
>
> # optimize branin function
> optimizer$optimize(instance)
Error: attempt to apply non-function
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.5.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [86s/60s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> if (requireNamespace("testthat", quietly = TRUE)) {
+ library("testthat")
+ library("checkmate")
+ library("mlr3hyperband")
+ test_check("mlr3hyperband")
+ }
Loading required package: mlr3tuning
Loading required package: mlr3
Loading required package: paradox
Starting 2 test processes
[ FAIL 40 | WARN 0 | SKIP 0 | PASS 28 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test_TunerHyperband.R:7:3'): TunerHyperband works ───────────────────
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:7:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:16:3'): TunerHyperband works with minimum budget > 1 ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:16:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:25:3'): TunerHyperband rounds budget ──────────
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:25:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:34:3'): TunerHyperband works with eta = 2.5 ───
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2.5, learner) at test_TunerHyperband.R:34:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:47:3'): TunerHyperband works with xgboost ─────
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:47:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:58:3'): TunerHyperband works with subsampling ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 3, graph_learner) at test_TunerHyperband.R:58:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:68:3'): TunerHyperband works works with multi-crit ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerHyperband.R:68:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:79:3'): TunerHyperband works with custom sampler ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner, sampler = sampler) at test_TunerHyperband.R:79:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:91:3'): TunerHyperband errors if not enough parameters are sampled ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:91:3
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. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:113:3'): TunerHyperband errors if budget parameter is sampled ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:113:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─mlr3tuning::tune(...)
8. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:130:3'): TunerHyperband errors if budget parameter is not numeric ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:130:3
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. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:147:3'): TunerHyperband errors if multiple budget parameters are set ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerHyperband.R:147:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─mlr3tuning::tune(...)
8. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:164:3'): TunerHyperband minimizes measure ─────
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerHyperband.R:164:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:175:3'): TunerHyperband maximizes measure ─────
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(...) at test_TunerHyperband.R:175:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:186:3'): TunerHyperband works with single budget value ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_hyperband(eta = 2, learner) at test_TunerHyperband.R:186:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:26:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:195:3'): TunerHyperband works with repetitions ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerHyperband.R:195:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
4. ├─private$.optimizer$optimize
5. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:211:3'): TunerHyperband terminates itself ─────
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerHyperband.R:211:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
4. ├─private$.optimizer$optimize
5. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerHyperband.R:227:3'): TunerHyperband works with infinite repetitions ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerHyperband/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerHyperband.R:227:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
4. ├─private$.optimizer$optimize
5. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:7:3'): TunerSuccessiveHalving works ───
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:7:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:16:3'): TunerSuccessiveHalving works with minimum budget > 1 ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:16:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:25:3'): TunerSuccessiveHalving rounds budget ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:25:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:34:3'): TunerSuccessiveHalving works with eta = 2.5 ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:34:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:43:3'): TunerSuccessiveHalving adjusts minimum budget ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:43:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:65:3'): TunerSuccessiveHalving works with xgboost ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:65:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:76:3'): TunerSuccessiveHalving works with subsampling ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:76:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:85:3'): TunerSuccessiveHalving works with multi-crit ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:85:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:96:3'): TunerSuccessiveHalving works with custom sampler ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:96:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:108:3'): TunerSuccessiveHalving errors if not enough parameters are sampled ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:108:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─mlr3tuning::tune(...)
8. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:130:3'): TunerSuccessiveHalving errors if budget parameter is sampled ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:130:3
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. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:147:3'): TunerSuccessiveHalving errors if budget parameter is not numeric ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:147:3
2. │ └─testthat:::expect_condition_matching(...)
3. │ └─testthat:::quasi_capture(...)
4. │ ├─testthat (local) .capture(...)
5. │ │ └─base::withCallingHandlers(...)
6. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
7. └─mlr3tuning::tune(...)
8. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:164:3'): TunerSuccessiveHalving errors if multiple budget parameters are set ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. ├─testthat::expect_error(...) at test_TunerSuccessiveHalving.R:164:3
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. └─tuner$optimize(instance)
9. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
10. ├─private$.optimizer$optimize
11. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:181:3'): TunerSuccessiveHalving minimizes measure ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:181:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:191:3'): TunerSuccessiveHalving maximizes measure ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:191:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:201:3'): TunerSuccessiveHalving works with single budget value ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:201:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:210:3'): TunerSuccessiveHalving works with repetitions ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerSuccessiveHalving.R:210:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
4. ├─private$.optimizer$optimize
5. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:226:3'): TunerSuccessiveHalving terminates itself ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerSuccessiveHalving.R:226:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
4. ├─private$.optimizer$optimize
5. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:242:3'): TunerSuccessiveHalving works with infinite repetitions ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3tuning::tune(...) at test_TunerSuccessiveHalving.R:242:3
2. └─tuner$optimize(instance)
3. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
4. ├─private$.optimizer$optimize
5. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:259:3'): TunerSuccessiveHalving works with r_max > n ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:259:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:268:3'): TunerSuccessiveHalving works with r_max < n ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:268:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
── Error ('test_TunerSuccessiveHalving.R:277:3'): TunerSuccessiveHalving works with r_max < n and adjust minimum budget ──
Error in ``$.R6`(private$.optimizer, "optimize")`: R6 class OptimizerSuccessiveHalving/Optimizer/R6 does not have slot 'optimize'!
Backtrace:
▆
1. └─mlr3hyperband:::test_tuner_successive_halving(...) at test_TunerSuccessiveHalving.R:277:3
2. └─mlr3tuning::tune(...) at tests/testthat/helper.R:61:3
3. └─tuner$optimize(instance)
4. └─mlr3tuning:::.__TunerFromOptimizer__optimize(...)
5. ├─private$.optimizer$optimize
6. └─global `$.R6`(private$.optimizer, "optimize")
[ FAIL 40 | WARN 0 | SKIP 0 | PASS 28 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.6.0
Check: package dependencies
Result: ERROR
Packages required and available but unsuitable versions:
'mlr3tuning', 'bbotk'
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64